Table of Contents
Replication enables data from one MySQL database server (the master) to be copied to one or more MySQL database servers (the slaves). Replication is asynchronous by default; slaves do not need to be connected permanently to receive updates from the master. Depending on the configuration, you can replicate all databases, selected databases, or even selected tables within a database.
Advantages of replication in MySQL include:
Scale-out solutions - spreading the load among multiple slaves to improve performance. In this environment, all writes and updates must take place on the master server. Reads, however, may take place on one or more slaves. This model can improve the performance of writes (since the master is dedicated to updates), while dramatically increasing read speed across an increasing number of slaves.
Data security - because data is replicated to the slave, and the slave can pause the replication process, it is possible to run backup services on the slave without corrupting the corresponding master data.
Analytics - live data can be created on the master, while the analysis of the information can take place on the slave without affecting the performance of the master.
Long-distance data distribution - you can use replication to create a local copy of data for a remote site to use, without permanent access to the master.
For information on how to use replication in such scenarios, see Section 16.3, “Replication Solutions”.
MySQL 5.7 supports different methods of replication. The traditional method is based on replicating events from the master's binary log, and requires the log files and positions in them to be synchronized between master and slave. The newer method based on global transaction identifiers (GTIDs) is transactional and therefore does not require working with log files or positions within these files, which greatly simplifies many common replication tasks. Replication using GTIDs guarantees consistency between master and slave as long as all transactions committed on the master have also been applied on the slave. For more information about GTIDs and GTID-based replication in MySQL, see Section 16.1.3, “Replication with Global Transaction Identifiers”. For information on using binary log file position based replication, see Section 16.1, “Configuring Replication”.
Replication in MySQL supports different types of synchronization. The original type of synchronization is one-way, asynchronous replication, in which one server acts as the master, while one or more other servers act as slaves. This is in contrast to the synchronous replication which is a characteristic of NDB Cluster (see Chapter 21, MySQL NDB Cluster 7.5 and NDB Cluster 7.6). In MySQL 5.7, semisynchronous replication is supported in addition to the built-in asynchronous replication. With semisynchronous replication, a commit performed on the master blocks before returning to the session that performed the transaction until at least one slave acknowledges that it has received and logged the events for the transaction; see Section 16.3.9, “Semisynchronous Replication”. MySQL 5.7 also supports delayed replication such that a slave server deliberately lags behind the master by at least a specified amount of time; see Section 16.3.10, “Delayed Replication”. For scenarios where synchronous replication is required, use NDB Cluster (see Chapter 21, MySQL NDB Cluster 7.5 and NDB Cluster 7.6).
There are a number of solutions available for setting up replication between servers, and the best method to use depends on the presence of data and the engine types you are using. For more information on the available options, see Section 16.1.2, “Setting Up Binary Log File Position Based Replication”.
There are two core types of replication format, Statement Based Replication (SBR), which replicates entire SQL statements, and Row Based Replication (RBR), which replicates only the changed rows. You can also use a third variety, Mixed Based Replication (MBR). For more information on the different replication formats, see Section 16.2.1, “Replication Formats”.
Replication is controlled through a number of different options and variables. For more information, see Section 16.1.6, “Replication and Binary Logging Options and Variables”.
You can use replication to solve a number of different problems, including performance, supporting the backup of different databases, and as part of a larger solution to alleviate system failures. For information on how to address these issues, see Section 16.3, “Replication Solutions”.
For notes and tips on how different data types and statements are treated during replication, including details of replication features, version compatibility, upgrades, and potential problems and their resolution, see Section 16.4, “Replication Notes and Tips”. For answers to some questions often asked by those who are new to MySQL Replication, see Section A.14, “MySQL 5.7 FAQ: Replication”.
For detailed information on the implementation of replication, how replication works, the process and contents of the binary log, background threads and the rules used to decide how statements are recorded and replicated, see Section 16.2, “Replication Implementation”.
This section describes how to configure the different types of replication available in MySQL and includes the setup and configuration required for a replication environment, including step-by-step instructions for creating a new replication environment. The major components of this section are:
For a guide to setting up two or more servers for replication using binary log file positions, Section 16.1.2, “Setting Up Binary Log File Position Based Replication”, deals with the configuration of the servers and provides methods for copying data between the master and slaves.
For a guide to setting up two or more servers for replication using GTID transactions, Section 16.1.3, “Replication with Global Transaction Identifiers”, deals with the configuration of the servers.
Events in the binary log are recorded using a number of formats. These are referred to as statement-based replication (SBR) or row-based replication (RBR). A third type, mixed-format replication (MIXED), uses SBR or RBR replication automatically to take advantage of the benefits of both SBR and RBR formats when appropriate. The different formats are discussed in Section 16.2.1, “Replication Formats”.
Detailed information on the different configuration options and variables that apply to replication is provided in Section 16.1.6, “Replication and Binary Logging Options and Variables”.
Once started, the replication process should require little administration or monitoring. However, for advice on common tasks that you may want to execute, see Section 16.1.7, “Common Replication Administration Tasks”.
This section describes replication between MySQL servers based on the binary log file position method, where the MySQL instance operating as the master (the source of the database changes) writes updates and changes as “events” to the binary log. The information in the binary log is stored in different logging formats according to the database changes being recorded. Slaves are configured to read the binary log from the master and to execute the events in the binary log on the slave's local database.
Each slave receives a copy of the entire contents of the binary log. It is the responsibility of the slave to decide which statements in the binary log should be executed. Unless you specify otherwise, all events in the master binary log are executed on the slave. If required, you can configure the slave to process only events that apply to particular databases or tables.
You cannot configure the master to log only certain events.
Each slave keeps a record of the binary log coordinates: the file name and position within the file that it has read and processed from the master. This means that multiple slaves can be connected to the master and executing different parts of the same binary log. Because the slaves control this process, individual slaves can be connected and disconnected from the server without affecting the master's operation. Also, because each slave records the current position within the binary log, it is possible for slaves to be disconnected, reconnect and then resume processing.
The master and each slave must be configured with a unique ID
(using the server_id
system
variable). In addition, each slave must be configured with
information about the master host name, log file name, and
position within that file. These details can be controlled from
within a MySQL session using the CHANGE
MASTER TO
statement on the slave. The details are stored
within the slave's master info repository, which can be
either a file or a table (see Section 16.2.4, “Replication Relay and Status Logs”).
This section describes how to set up a MySQL server to use binary log file position based replication. There are a number of different methods for setting up replication, and the exact method to use depends on how you are setting up replication, and whether you already have data within your master database.
There are some generic tasks that are common to all setups:
On the master, you must enable binary logging and configure a unique server ID. This might require a server restart. See Section 16.1.2.1, “Setting the Replication Master Configuration”.
On each slave that you want to connect to the master, you must configure a unique server ID. This might require a server restart. See Section 16.1.2.5.1, “Setting the Replication Slave Configuration”.
Optionally, create a separate user for your slaves to use during authentication with the master when reading the binary log for replication. See Section 16.1.2.2, “Creating a User for Replication”.
Before creating a data snapshot or starting the replication process, on the master you should record the current position in the binary log. You need this information when configuring the slave so that the slave knows where within the binary log to start executing events. See Section 16.1.2.3, “Obtaining the Replication Master Binary Log Coordinates”.
If you already have data on the master and want to use it to
synchronize the slave, you need to create a data snapshot to
copy the data to the slave. The storage engine you are using
has an impact on how you create the snapshot. When you are
using MyISAM
, you must stop
processing statements on the master to obtain a read-lock,
then obtain its current binary log coordinates and dump its
data, before permitting the master to continue executing
statements. If you do not stop the execution of statements,
the data dump and the master status information will not
match, resulting in inconsistent or corrupted databases on the
slaves. For more information on replicating a
MyISAM
master, see
Section 16.1.2.3, “Obtaining the Replication Master Binary Log Coordinates”. If you are
using InnoDB
, you do not need a
read-lock and a transaction that is long enough to transfer
the data snapshot is sufficient. For more information, see
Section 14.20, “InnoDB and MySQL Replication”.
Configure the slave with settings for connecting to the master, such as the host name, login credentials, and binary log file name and position. See Section 16.1.2.5.2, “Setting the Master Configuration on the Slave”.
Certain steps within the setup process require the
SUPER
privilege. If you do not
have this privilege, it might not be possible to enable
replication.
After configuring the basic options, select your scenario:
To set up replication for a fresh installation of a master and slaves that contain no data, see Section 16.1.2.5.3, “Setting Up Replication between a New Master and Slaves”.
To set up replication of a new master using the data from an existing MySQL server, see Section 16.1.2.5.4, “Setting Up Replication with Existing Data”.
To add replication slaves to an existing replication environment, see Section 16.1.2.6, “Adding Slaves to a Replication Environment”.
Before administering MySQL replication servers, read this entire chapter and try all statements mentioned in Section 13.4.1, “SQL Statements for Controlling Master Servers”, and Section 13.4.2, “SQL Statements for Controlling Slave Servers”. Also familiarize yourself with the replication startup options described in Section 16.1.6, “Replication and Binary Logging Options and Variables”.
To configure a master to use binary log file position based replication, you must enable binary logging and establish a unique server ID. If this has not already been done, a server restart is required.
Binary logging must be enabled on the
master because the binary log is the basis for replicating
changes from the master to its slaves. If binary logging is not
enabled on the master using the log-bin
option, replication is not possible.
Each server within a replication group must be configured with a unique server ID. This ID is used to identify individual servers within the group, and must be a positive integer between 1 and (232)−1. How you organize and select the numbers is your choice.
To configure the binary log and server ID options, shut down the
MySQL server and edit the my.cnf
or
my.ini
file. Within the
[mysqld]
section of the configuration file,
add the log-bin
and
server-id
options. If these options already
exist, but are commented out, uncomment the options and alter
them according to your needs. For example, to enable binary
logging using a log file name prefix of
mysql-bin
, and configure a server ID of 1,
use these lines:
[mysqld] log-bin=mysql-bin server-id=1
After making the changes, restart the server.
The following options have an impact on this procedure:
If you do not set
server_id
(or set it
explicitly to its default value of 0), the master refuses
any connections from slaves.
For the greatest possible durability and consistency in a
replication setup using
InnoDB
with transactions, you
should use
innodb_flush_log_at_trx_commit=1
and
sync_binlog=1
in the master
my.cnf
file.
Ensure that the
skip_networking
system
variable is not enabled on your replication master. If
networking has been disabled, the slave cannot communicate
with the master and replication fails.
Each slave connects to the master using a MySQL user name and
password, so there must be a user account on the master that the
slave can use to connect. The user name is specified by the
MASTER_USER
option on the CHANGE
MASTER TO
command when you set up a replication slave.
Any account can be used for this operation, providing it has
been granted the REPLICATION
SLAVE
privilege. You can choose to create a different
account for each slave, or connect to the master using the same
account for each slave.
Although you do not have to create an account specifically for replication, you should be aware that the replication user name and password are stored in plain text in the master info repository file or table (see Section 16.2.4.2, “Slave Status Logs”). Therefore, you may want to create a separate account that has privileges only for the replication process, to minimize the possibility of compromise to other accounts.
To create a new account, use CREATE
USER
. To grant this account the privileges required
for replication, use the GRANT
statement. If you create an account solely for the purposes of
replication, that account needs only the
REPLICATION SLAVE
privilege. For
example, to set up a new user, repl
, that can
connect for replication from any host within the
example.com
domain, issue these statements on
the master:
mysql>CREATE USER 'repl'@'%.example.com' IDENTIFIED BY '
mysql>password
';GRANT REPLICATION SLAVE ON *.* TO 'repl'@'%.example.com';
See Section 13.7.1, “Account Management Statements”, for more information on statements for manipulation of user accounts.
To configure the slave to start the replication process at the correct point, you need to note the master's current coordinates within its binary log.
This procedure uses FLUSH TABLES WITH
READ LOCK
, which blocks
COMMIT
operations for
InnoDB
tables.
If you are planning to shut down the master to create a data snapshot, you can optionally skip this procedure and instead store a copy of the binary log index file along with the data snapshot. In that situation, the master creates a new binary log file on restart. The master binary log coordinates where the slave must start the replication process are therefore the start of that new file, which is the next binary log file on the master following after the files that are listed in the copied binary log index file.
To obtain the master binary log coordinates, follow these steps:
Start a session on the master by connecting to it with the
command-line client, and flush all tables and block write
statements by executing the FLUSH
TABLES WITH READ LOCK
statement:
mysql> FLUSH TABLES WITH READ LOCK;
Leave the client from which you issued the
FLUSH TABLES
statement
running so that the read lock remains in effect. If you
exit the client, the lock is released.
In a different session on the master, use the
SHOW MASTER STATUS
statement
to determine the current binary log file name and position:
mysql > SHOW MASTER STATUS;
+------------------+----------+--------------+------------------+
| File | Position | Binlog_Do_DB | Binlog_Ignore_DB |
+------------------+----------+--------------+------------------+
| mysql-bin.000003 | 73 | test | manual,mysql |
+------------------+----------+--------------+------------------+
The File
column shows the name of the log
file and the Position
column shows the
position within the file. In this example, the binary log
file is mysql-bin.000003
and the position
is 73. Record these values. You need them later when you are
setting up the slave. They represent the replication
coordinates at which the slave should begin processing new
updates from the master.
If the master has been running previously without binary
logging enabled, the log file name and position values
displayed by SHOW MASTER
STATUS
or mysqldump
--master-data are empty. In that case, the values
that you need to use later when specifying the slave's log
file and position are the empty string
(''
) and 4
.
You now have the information you need to enable the slave to start reading from the binary log in the correct place to start replication.
The next step depends on whether you have existing data on the master. Choose one of the following options:
If you have existing data that needs be to synchronized with the slave before you start replication, leave the client running so that the lock remains in place. This prevents any further changes being made, so that the data copied to the slave is in synchrony with the master. Proceed to Section 16.1.2.4, “Choosing a Method for Data Snapshots”.
If you are setting up a new master and slave replication group, you can exit the first session to release the read lock. See Section 16.1.2.5.3, “Setting Up Replication between a New Master and Slaves” for how to proceed.
If the master database contains existing data it is necessary to copy this data to each slave. There are different ways to dump the data from the master database. The following sections describe possible options.
To select the appropriate method of dumping the database, choose between these options:
Use the mysqldump tool to create a dump
of all the databases you want to replicate. This is the
recommended method, especially when using
InnoDB
.
If your database is stored in binary portable files, you can
copy the raw data files to a slave. This can be more
efficient than using mysqldump and
importing the file on each slave, because it skips the
overhead of updating indexes as the
INSERT
statements are replayed. With
storage engines such as InnoDB
this is not recommended.
To create a snapshot of the data in an existing master database, use the mysqldump tool. Once the data dump has been completed, import this data into the slave before starting the replication process.
The following example dumps all databases to a file named
dbdump.db
, and includes the
--master-data
option which
automatically appends the CHANGE MASTER
TO
statement required on the slave to start the
replication process:
shell> mysqldump --all-databases --master-data > dbdump.db
If you do not use
--master-data
, then it is
necessary to lock all tables in a separate session manually.
See Section 16.1.2.3, “Obtaining the Replication Master Binary Log Coordinates”.
It is possible to exclude certain databases from the dump
using the mysqldump tool. If you want to
choose which databases to include in the dump, do not use
--all-databases
. Choose one
of these options:
Exclude all the tables in the database using
--ignore-table
option.
Name only those databases which you want dumped using the
--databases
option.
For more information, see Section 4.5.4, “mysqldump — A Database Backup Program”.
To import the data, either copy the dump file to the slave, or access the file from the master when connecting remotely to the slave.
This section describes how to create a data snapshot using the raw files which make up the database. Employing this method with a table using a storage engine that has complex caching or logging algorithms requires extra steps to produce a perfect “point in time” snapshot: the initial copy command could leave out cache information and logging updates, even if you have acquired a global read lock. How the storage engine responds to this depends on its crash recovery abilities.
If you use InnoDB
tables, you can
use the mysqlbackup command from the MySQL
Enterprise Backup component to produce a consistent snapshot.
This command records the log name and offset corresponding to
the snapshot to be used on the slave. MySQL Enterprise Backup
is a commercial product that is included as part of a MySQL
Enterprise subscription. See
Section 29.2, “MySQL Enterprise Backup Overview” for detailed
information.
This method also does not work reliably if the master and
slave have different values for
ft_stopword_file
,
ft_min_word_len
, or
ft_max_word_len
and you are
copying tables having full-text indexes.
Assuming the above exceptions do not apply to your database,
use the cold backup
technique to obtain a reliable binary snapshot of
InnoDB
tables: do a
slow shutdown of the
MySQL Server, then copy the data files manually.
To create a raw data snapshot of
MyISAM
tables when your MySQL
data files exist on a single file system, you can use standard
file copy tools such as cp or
copy, a remote copy tool such as
scp or rsync, an
archiving tool such as zip or
tar, or a file system snapshot tool such as
dump. If you are replicating only certain
databases, copy only those files that relate to those tables.
For InnoDB
, all tables in all databases are
stored in the system
tablespace files, unless you have the
innodb_file_per_table
option
enabled.
The following files are not required for replication:
Files relating to the mysql
database.
The master info repository file, if used (see Section 16.2.4, “Replication Relay and Status Logs”).
The master's binary log files, with the exception of the binary log index file if you are going to use this to locate the master binary log coordinates for the slave.
Any relay log files.
Depending on whether you are using InnoDB
tables or not, choose one of the following:
If you are using InnoDB
tables,
and also to get the most consistent results with a raw data
snapshot, shut down the master server during the process, as
follows:
Acquire a read lock and get the master's status. See Section 16.1.2.3, “Obtaining the Replication Master Binary Log Coordinates”.
In a separate session, shut down the master server:
shell> mysqladmin shutdown
Make a copy of the MySQL data files. The following examples show common ways to do this. You need to choose only one of them:
shell>tar cf
shell>/tmp/db.tar
./data
zip -r
shell>/tmp/db.zip
./data
rsync --recursive
./data
/tmp/dbdata
Restart the master server.
If you are not using InnoDB
tables, you can get a snapshot of the system from a master
without shutting down the server as described in the following
steps:
Acquire a read lock and get the master's status. See Section 16.1.2.3, “Obtaining the Replication Master Binary Log Coordinates”.
Make a copy of the MySQL data files. The following examples show common ways to do this. You need to choose only one of them:
shell>tar cf
shell>/tmp/db.tar
./data
zip -r
shell>/tmp/db.zip
./data
rsync --recursive
./data
/tmp/dbdata
In the client where you acquired the read lock, release the lock:
mysql> UNLOCK TABLES;
Once you have created the archive or copy of the database, copy the files to each slave before starting the slave replication process.
The following sections describe how to set up slaves. Before you proceed, ensure that you have:
Configured the MySQL master with the necessary configuration properties. See Section 16.1.2.1, “Setting the Replication Master Configuration”.
Obtained the master status information, or a copy of the master's binary log index file made during a shutdown for the data snapshot. See Section 16.1.2.3, “Obtaining the Replication Master Binary Log Coordinates”.
On the master, released the read lock:
mysql> UNLOCK TABLES;
Each replication slave must have a unique server ID. If this has not already been done, this part of slave setup requires a server restart.
If the slave server ID is not already set, or the current
value conflicts with the value that you have chosen for the
master server, shut down the slave server and edit the
[mysqld]
section of the configuration file
to specify a unique server ID. For example:
[mysqld] server-id=2
After making the changes, restart the server.
If you are setting up multiple slaves, each one must have a
unique server_id
value that
differs from that of the master and from any of the other
slaves.
If you do not set server_id
(or set it explicitly to its default value of 0), the slave
refuses to connect to a master.
You do not have to enable binary logging on the slave for replication to be set up. However, if you enable binary logging on the slave, you can use the slave's binary log for data backups and crash recovery, and also use the slave as part of a more complex replication topology. For example, where this slave then acts as a master to other slaves.
To set up the slave to communicate with the master for replication, configure the slave with the necessary connection information. To do this, execute the following statement on the slave, replacing the option values with the actual values relevant to your system:
mysql>CHANGE MASTER TO
->MASTER_HOST='
->master_host_name
',MASTER_USER='
->replication_user_name
',MASTER_PASSWORD='
->replication_password
',MASTER_LOG_FILE='
->recorded_log_file_name
',MASTER_LOG_POS=
recorded_log_position
;
Replication cannot use Unix socket files. You must be able to connect to the master MySQL server using TCP/IP.
The CHANGE MASTER TO
statement
has other options as well. For example, it is possible to set
up secure replication using SSL. For a full list of options,
and information about the maximum permissible length for the
string-valued options, see Section 13.4.2.1, “CHANGE MASTER TO Statement”.
The next steps depend on whether you have existing data to import to the slave or not. See Section 16.1.2.4, “Choosing a Method for Data Snapshots” for more information. Choose one of the following:
If you do not have a snapshot of a database to import, see Section 16.1.2.5.3, “Setting Up Replication between a New Master and Slaves”.
If you have a snapshot of a database to import, see Section 16.1.2.5.4, “Setting Up Replication with Existing Data”.
When there is no snapshot of a previous database to import, configure the slave to start the replication from the new master.
To set up replication between a master and a new slave:
Start up the MySQL slave and connect to it.
Execute a CHANGE MASTER TO
statement to set the master replication server
configuration. See
Section 16.1.2.5.2, “Setting the Master Configuration on the Slave”.
Perform these slave setup steps on each slave.
This method can also be used if you are setting up new servers but have an existing dump of the databases from a different server that you want to load into your replication configuration. By loading the data into a new master, the data is automatically replicated to the slaves.
If you are setting up a new replication environment using the data from a different existing database server to create a new master, run the dump file generated from that server on the new master. The database updates are automatically propagated to the slaves:
shell> mysql -h master < fulldb.dump
When setting up replication with existing data, transfer the snapshot from the master to the slave before starting replication. The process for importing data to the slave depends on how you created the snapshot of data on the master.
Choose one of the following:
If you used mysqldump:
Start the slave, using the
--skip-slave-start
option
so that replication does not start.
Import the dump file:
shell> mysql < fulldb.dump
If you created a snapshot using the raw data files:
Extract the data files into your slave data directory. For example:
shell> tar xvf dbdump.tar
You may need to set permissions and ownership on the files so that the slave server can access and modify them.
Start the slave, using the
--skip-slave-start
option
so that replication does not start.
Configure the slave with the replication coordinates from
the master. This tells the slave the binary log file and
position within the file where replication needs to start.
Also, configure the slave with the login credentials and
host name of the master. For more information on the
CHANGE MASTER TO
statement
required, see
Section 16.1.2.5.2, “Setting the Master Configuration on the Slave”.
Start the slave threads:
mysql> START SLAVE;
After you have performed this procedure, the slave connects to the master and replicates any updates that have occurred on the master since the snapshot was taken.
If the server_id
system
variable for the master is not correctly set, slaves cannot
connect to it. Similarly, if you have not set
server_id
correctly for the
slave, you get the following error in the slave's error log:
Warning: You should set server-id to a non-0 value if master_host is set; we will force server id to 2, but this MySQL server will not act as a slave.
You also find error messages in the slave's error log if it is not able to replicate for any other reason.
The slave stores information about the master you have
configured in its master info repository. The master info
repository can be in the form of files or a table, as
determined by the value set for the
master_info_repository
system
variable. When a slave runs with
master_info_repository=FILE
,
two files are stored in the data directory, named
master.info
and
relay-log.info
. If
master_info_repository=TABLE
instead, this information is saved in the
master_slave_info
table in the
mysql
database. In either case, do
not remove or edit the files or table.
Always use the CHANGE MASTER TO
statement to change replication parameters. The slave can use
the values specified in the statement to update the status
files automatically. See Section 16.2.4, “Replication Relay and Status Logs”, for
more information.
The contents of the master info repository override some of
the server options specified on the command line or in
my.cnf
. See
Section 16.1.6, “Replication and Binary Logging Options and Variables”, for more details.
A single snapshot of the master suffices for multiple slaves. To set up additional slaves, use the same master snapshot and follow the slave portion of the procedure just described.
You can add another slave to an existing replication configuration without stopping the master. To do this, you can set up the new slave by copying the data directory of an existing slave, and giving the new slave a different server ID (which is user-specified) and server UUID (which is generated at startup).
To duplicate an existing slave:
Stop the existing slave and record the slave status
information, particularly the master binary log file and
relay log file positions. You can view the slave status
either in the Performance Schema replication tables (see
Section 25.12.11, “Performance Schema Replication Tables”), or
by issuing SHOW SLAVE STATUS
as follows:
mysql>STOP SLAVE;
mysql>SHOW SLAVE STATUS\G
Shut down the existing slave:
shell> mysqladmin shutdown
Copy the data directory from the existing slave to the new
slave, including the log files and relay log files. You can
do this by creating an archive using tar
or WinZip
, or by performing a direct copy
using a tool such as cp or
rsync.
Before copying, verify that all the files relating to
the existing slave actually are stored in the data
directory. For example, the InnoDB
system tablespace, undo tablespace, and redo log might
be stored in an alternative location.
InnoDB
tablespace files and
file-per-table tablespaces might have been created in
other directories. The binary logs and relay logs for
the slave might be in their own directories outside
the data directory. Check through the system variables
that are set for the existing slave and look for any
alternative paths that have been specified. If you
find any, copy these directories over as well.
During copying, if files have been used for the master info and relay log info repositories (see Section 16.2.4, “Replication Relay and Status Logs”), which is the default in MySQL 5.7, ensure that you also copy these files from the existing slave to the new slave. If tables have been used for the repositories, the tables are in the data directory.
After copying, delete the
auto.cnf
file from the copy of
the data directory on the new slave, so that the new
slave is started with a different generated server
UUID. The server UUID must be unique.
A common problem that is encountered when adding new replication slaves is that the new slave fails with a series of warning and error messages like these:
071118 16:44:10 [Warning] Neither --relay-log nor --relay-log-index were used; so replication may break when this MySQL server acts as a slave and has his hostname changed!! Please use '--relay-log=new_slave_hostname
-relay-bin' to avoid this problem. 071118 16:44:10 [ERROR] Failed to open the relay log './old_slave_hostname
-relay-bin.003525' (relay_log_pos 22940879) 071118 16:44:10 [ERROR] Could not find target log during relay log initialization 071118 16:44:10 [ERROR] Failed to initialize the master info structure
This situation can occur if the
relay_log
system variable
is not specified, as the relay log files contain the host
name as part of their file names. This is also true of the
relay log index file if the
relay_log_index
system
variable is not used. For more information about these
variables, see Section 16.1.6, “Replication and Binary Logging Options and Variables”.
To avoid this problem, use the same value for
relay_log
on the new slave
that was used on the existing slave. If this option was not
set explicitly on the existing slave, use
.
If this is not possible, copy the existing slave's relay log
index file to the new slave and set the
existing_slave_hostname
-relay-binrelay_log_index
system
variable on the new slave to match what was used on the
existing slave. If this option was not set explicitly on the
existing slave, use
.
Alternatively, if you have already tried to start the new
slave after following the remaining steps in this section
and have encountered errors like those described previously,
then perform the following steps:
existing_slave_hostname
-relay-bin.index
If you have not already done so, issue
STOP SLAVE
on the new
slave.
If you have already started the existing slave again,
issue STOP SLAVE
on the
existing slave as well.
Copy the contents of the existing slave's relay log index file into the new slave's relay log index file, making sure to overwrite any content already in the file.
Proceed with the remaining steps in this section.
When copying is complete, restart the existing slave.
On the new slave, edit the configuration and give the new
slave a unique server ID (using the
server_id
system variable)
that is not used by the master or any of the existing
slaves.
Start the new slave server, specifying the
--skip-slave-start
option so
that replication does not start yet. Use the Performance
Schema replication tables or issue SHOW
SLAVE STATUS
to confirm that the new slave has the
correct settings when compared with the existing slave. Also
display the server ID and server UUID and verify that these
are correct and unique for the new slave.
Start the slave threads by issuing a
START SLAVE
statement:
mysql> START SLAVE;
The new slave now uses the information in its master info repository to start the replication process.
This section explains transaction-based replication using global transaction identifiers (GTIDs). When using GTIDs, each transaction can be identified and tracked as it is committed on the originating server and applied by any slaves; this means that it is not necessary when using GTIDs to refer to log files or positions within those files when starting a new slave or failing over to a new master, which greatly simplifies these tasks. Because GTID-based replication is completely transaction-based, it is simple to determine whether masters and slaves are consistent; as long as all transactions committed on a master are also committed on a slave, consistency between the two is guaranteed. You can use either statement-based or row-based replication with GTIDs (see Section 16.2.1, “Replication Formats”); however, for best results, we recommend that you use the row-based format.
GTIDs are always preserved between master and slave. This means that you can always determine the source for any transaction applied on any slave by examining its binary log. In addition, once a transaction with a given GTID is committed on a given server, any subsequent transaction having the same GTID is ignored by that server. Thus, a transaction committed on the master can be applied no more than once on the slave, which helps to guarantee consistency.
This section discusses the following topics:
How GTIDs are defined and created, and how they are represented in a MySQL server (see Section 16.1.3.1, “GTID Format and Storage”).
The life cycle of a GTID (see Section 16.1.3.2, “GTID Life Cycle”).
The auto-positioning function for synchronizing a slave and master that use GTIDs (see Section 16.1.3.3, “GTID Auto-Positioning”).
A general procedure for setting up and starting GTID-based replication (see Section 16.1.3.4, “Setting Up Replication Using GTIDs”).
Suggested methods for provisioning new replication servers when using GTIDs (see Section 16.1.3.5, “Using GTIDs for Failover and Scaleout”).
Restrictions and limitations that you should be aware of when using GTID-based replication (see Section 16.1.3.6, “Restrictions on Replication with GTIDs”).
Stored functions that you can use to work with GTIDs (see Section 16.1.3.7, “Stored Function Examples to Manipulate GTIDs”).
For information about MySQL Server options and variables relating to GTID-based replication, see Section 16.1.6.5, “Global Transaction ID System Variables”. See also Section 12.18, “Functions Used with Global Transaction Identifiers (GTIDs)”, which describes SQL functions supported by MySQL 5.7 for use with GTIDs.
A global transaction identifier (GTID) is a unique identifier created and associated with each transaction committed on the server of origin (the master). This identifier is unique not only to the server on which it originated, but is unique across all servers in a given replication topology.
GTID assignment distinguishes between client transactions, which are committed on the master, and replicated transactions, which are reproduced on a slave. When a client transaction is committed on the master, it is assigned a new GTID, provided that the transaction was written to the binary log. Client transactions are guaranteed to have monotonically increasing GTIDs without gaps between the generated numbers. If a client transaction is not written to the binary log (for example, because the transaction was filtered out, or the transaction was read-only), it is not assigned a GTID on the server of origin.
Replicated transactions retain the same GTID that was assigned to
the transaction on the server of origin. The GTID is present
before the replicated transaction begins to execute, and is
persisted even if the replicated transaction is not written to the
binary log on the slave, or is filtered out on the slave. The
MySQL system table mysql.gtid_executed
is used
to preserve the assigned GTIDs of all the transactions applied on
a MySQL server, except those that are stored in a currently active
binary log file.
The auto-skip function for GTIDs means that a transaction committed on the master can be applied no more than once on the slave, which helps to guarantee consistency. Once a transaction with a given GTID has been committed on a given server, any attempt to execute a subsequent transaction with the same GTID is ignored by that server. No error is raised, and no statement in the transaction is executed.
If a transaction with a given GTID has started to execute on a server, but has not yet committed or rolled back, any attempt to start a concurrent transaction on the server with the same GTID will block. The server neither begins to execute the concurrent transaction nor returns control to the client. Once the first attempt at the transaction commits or rolls back, concurrent sessions that were blocking on the same GTID may proceed. If the first attempt rolled back, one concurrent session proceeds to attempt the transaction, and any other concurrent sessions that were blocking on the same GTID remain blocked. If the first attempt committed, all the concurrent sessions stop being blocked, and auto-skip all the statements of the transaction.
A GTID is represented as a pair of coordinates, separated by a
colon character (:
), as shown here:
GTID =source_id
:transaction_id
The source_id
identifies the
originating server. Normally, the master's
server_uuid
is used for this
purpose. The transaction_id
is a
sequence number determined by the order in which the transaction
was committed on the master. For example, the first transaction to
be committed has 1
as its
transaction_id
, and the tenth
transaction to be committed on the same originating server is
assigned a transaction_id
of
10
. It is not possible for a transaction to
have 0
as a sequence number in a GTID. For
example, the twenty-third transaction to be committed originally
on the server with the UUID
3E11FA47-71CA-11E1-9E33-C80AA9429562
has this
GTID:
3E11FA47-71CA-11E1-9E33-C80AA9429562:23
The GTID for a transaction is shown in the output from
mysqlbinlog, and it is used to identify an
individual transaction in the Performance Schema replication
status tables, for example,
replication_applier_status_by_worker
.
The value stored by the gtid_next
system variable (@@GLOBAL.gtid_next
) is a
single GTID.
A GTID set is a set comprising one or more single GTIDs or
ranges of GTIDs. GTID sets are used in a MySQL server in several
ways. For example, the values stored by the
gtid_executed
and
gtid_purged
system variables
are GTID sets. The START SLAVE
clauses UNTIL SQL_BEFORE_GTIDS
and
UNTIL SQL_AFTER_GTIDS
can be used to make a
slave process transactions only up to the first GTID in a GTID
set, or stop after the last GTID in a GTID set. The built-in
functions GTID_SUBSET()
and
GTID_SUBTRACT()
require GTID sets
as input.
A range of GTIDs originating from the same server can be collapsed into a single expression, as shown here:
3E11FA47-71CA-11E1-9E33-C80AA9429562:1-5
The above example represents the first through fifth
transactions originating on the MySQL server whose
server_uuid
is
3E11FA47-71CA-11E1-9E33-C80AA9429562
.
Multiple single GTIDs or ranges of GTIDs originating from the
same server can also be included in a single expression, with
the GTIDs or ranges separated by colons, as in the following
example:
3E11FA47-71CA-11E1-9E33-C80AA9429562:1-3:11:47-49
A GTID set can include any combination of single GTIDs and
ranges of GTIDs, and it can include GTIDs originating from
different servers. This example shows the GTID set stored in the
gtid_executed
system variable
(@@GLOBAL.gtid_executed
) of a slave that has
applied transactions from more than one master:
2174B383-5441-11E8-B90A-C80AA9429562:1-3, 24DA167-0C0C-11E8-8442-00059A3C7B00:1-19
When GTID sets are returned from server variables, UUIDs are in alphabetical order, and numeric intervals are merged and in ascending order.
The syntax for a GTID set is as follows:
gtid_set
:uuid_set
[,uuid_set
] ... | ''uuid_set
:uuid
:interval
[:interval
]...uuid
:hhhhhhhh
-hhhh
-hhhh
-hhhh
-hhhhhhhhhhhh
h
: [0-9|A-F]interval
:n
[-n
] (n
>= 1)
GTIDs are stored in a table named
gtid_executed
, in the
mysql
database. A row in this table contains,
for each GTID or set of GTIDs that it represents, the UUID of
the originating server, and the starting and ending transaction
IDs of the set; for a row referencing only a single GTID, these
last two values are the same.
The mysql.gtid_executed
table is created (if
it does not already exist) when MySQL Server is installed or
upgraded, using a CREATE TABLE
statement similar to that shown here:
CREATE TABLE gtid_executed ( source_uuid CHAR(36) NOT NULL, interval_start BIGINT(20) NOT NULL, interval_end BIGINT(20) NOT NULL, PRIMARY KEY (source_uuid, interval_start) )
As with other MySQL system tables, do not attempt to create or modify this table yourself.
The mysql.gtid_executed
table is provided for
internal use by the MySQL server. It enables a slave to use
GTIDs when binary logging is disabled on the slave, and it
enables retention of the GTID state when the binary logs have
been lost. Note that the mysql.gtid_executed
table is cleared if you issue RESET
MASTER
.
GTIDs are stored in the mysql.gtid_executed
table only when gtid_mode
is
ON
or ON_PERMISSIVE
. The
point at which GTIDs are stored depends on whether binary
logging is enabled or disabled:
If binary logging is disabled (log_bin
is
OFF
), or if
log_slave_updates
is
disabled, the server stores the GTID belonging to each
transaction together with the transaction in the table. In
addition, the table is compressed periodically at a
user-configurable rate; see
mysql.gtid_executed Table Compression,
for more information. This situation can only apply on a
replication slave where binary logging or slave update
logging is disabled. It does not apply on a replication
master, because on a master, binary logging must be enabled
for replication to take place.
If binary logging is enabled (log_bin
is
ON
), whenever the binary log is rotated
or the server is shut down, the server writes GTIDs for all
transactions that were written into the previous binary log
into the mysql.gtid_executed
table. This
situation applies on a replication master, or a replication
slave where binary logging is enabled.
In the event of the server stopping unexpectedly, the set of
GTIDs from the current binary log file is not saved in the
mysql.gtid_executed
table. These GTIDs
are added to the table from the binary log file during
recovery. The exception to this is if binary logging is not
enabled when the server is restarted. In this situation, the
server cannot access the binary log file to recover the
GTIDs, so replication cannot be started.
When binary logging is enabled, the
mysql.gtid_executed
table does not hold a
complete record of the GTIDs for all executed transactions.
That information is provided by the global value of the
gtid_executed
system
variable. Always use
@@GLOBAL.gtid_executed
, which is updated
after every commit, to represent the GTID state for the
MySQL server, and do not query the
mysql.gtid_executed
table.
Over the course of time, the
mysql.gtid_executed
table can become filled
with many rows referring to individual GTIDs that originate on
the same server, and whose transaction IDs make up a range,
similar to what is shown here:
+--------------------------------------+----------------+--------------+ | source_uuid | interval_start | interval_end | |--------------------------------------+----------------+--------------| | 3E11FA47-71CA-11E1-9E33-C80AA9429562 | 37 | 37 | | 3E11FA47-71CA-11E1-9E33-C80AA9429562 | 38 | 38 | | 3E11FA47-71CA-11E1-9E33-C80AA9429562 | 39 | 39 | | 3E11FA47-71CA-11E1-9E33-C80AA9429562 | 40 | 40 | | 3E11FA47-71CA-11E1-9E33-C80AA9429562 | 41 | 41 | | 3E11FA47-71CA-11E1-9E33-C80AA9429562 | 42 | 42 | | 3E11FA47-71CA-11E1-9E33-C80AA9429562 | 43 | 43 | ...
To save space, the MySQL server compresses the
mysql.gtid_executed
table periodically by
replacing each such set of rows with a single row that spans the
entire interval of transaction identifiers, like this:
+--------------------------------------+----------------+--------------+ | source_uuid | interval_start | interval_end | |--------------------------------------+----------------+--------------| | 3E11FA47-71CA-11E1-9E33-C80AA9429562 | 37 | 43 | ...
You can control the number of transactions that are allowed to
elapse before the table is compressed, and thus the compression
rate, by setting the
gtid_executed_compression_period
system variable. This variable's default value is 1000,
meaning that by default, compression of the table is performed
after each 1000 transactions. Setting
gtid_executed_compression_period
to 0 prevents the compression from being performed at all, and
you should be prepared for a potentially large increase in the
amount of disk space that may be required by the
gtid_executed
table if you do this.
When binary logging is enabled, the value of
gtid_executed_compression_period
is not used and the
mysql.gtid_executed
table is compressed on
each binary log rotation.
Compression of the mysql.gtid_executed
table
is performed by a dedicated foreground thread named
thread/sql/compress_gtid_table
. This thread
is not listed in the output of SHOW
PROCESSLIST
, but it can be viewed as a row in the
threads
table, as shown here:
mysql> SELECT * FROM performance_schema.threads WHERE NAME LIKE '%gtid%'\G
*************************** 1. row ***************************
THREAD_ID: 26
NAME: thread/sql/compress_gtid_table
TYPE: FOREGROUND
PROCESSLIST_ID: 1
PROCESSLIST_USER: NULL
PROCESSLIST_HOST: NULL
PROCESSLIST_DB: NULL
PROCESSLIST_COMMAND: Daemon
PROCESSLIST_TIME: 1509
PROCESSLIST_STATE: Suspending
PROCESSLIST_INFO: NULL
PARENT_THREAD_ID: 1
ROLE: NULL
INSTRUMENTED: YES
HISTORY: YES
CONNECTION_TYPE: NULL
THREAD_OS_ID: 18677
The thread/sql/compress_gtid_table
thread
normally sleeps until
gtid_executed_compression_period
transactions have been executed, then wakes up to perform
compression of the mysql.gtid_executed
table
as described previously. It then sleeps until another
gtid_executed_compression_period
transactions have taken place, then wakes up to perform the
compression again, repeating this loop indefinitely. Setting
this value to 0 when binary logging is disabled means that the
thread always sleeps and never wakes up.
The life cycle of a GTID consists of the following steps:
A transaction is executed and committed on the master. This client transaction is assigned a GTID composed of the master's UUID and the smallest nonzero transaction sequence number not yet used on this server. The GTID is written to the master's binary log (immediately preceding the transaction itself in the log). If a client transaction is not written to the binary log (for example, because the transaction was filtered out, or the transaction was read-only), it is not assigned a GTID.
If a GTID was assigned for the transaction, the GTID is
persisted atomically at commit time by writing it to the
binary log at the beginning of the transaction (as a
Gtid_log_event
). Whenever the binary log is
rotated or the server is shut down, the server writes GTIDs
for all transactions that were written into the previous
binary log file into the
mysql.gtid_executed
table.
If a GTID was assigned for the transaction, the GTID is
externalized non-atomically (very shortly after the
transaction is committed) by adding it to the set of GTIDs in
the gtid_executed
system
variable (@@GLOBAL.gtid_executed
). This
GTID set contains a representation of the set of all committed
GTID transactions, and it is used in replication as a token
that represents the server state. With binary logging enabled
(as required for the master), the set of GTIDs in the
gtid_executed
system variable
is a complete record of the transactions applied, but the
mysql.gtid_executed
table is not, because
the most recent history is still in the current binary log
file.
After the binary log data is transmitted to the slave and
stored in the slave's relay log (using established
mechanisms for this process, see
Section 16.2, “Replication Implementation”, for details),
the slave reads the GTID and sets the value of its
gtid_next
system variable as
this GTID. This tells the slave that the next transaction must
be logged using this GTID. It is important to note that the
slave sets gtid_next
in a session context.
The slave verifies that no thread has yet taken ownership of
the GTID in gtid_next
in
order to process the transaction. By reading and checking the
replicated transaction's GTID first, before processing the
transaction itself, the slave guarantees not only that no
previous transaction having this GTID has been applied on the
slave, but also that no other session has already read this
GTID but has not yet committed the associated transaction. So
if multiple clients attempt to apply the same transaction
concurrently, the server resolves this by letting only one of
them execute. The gtid_owned
system variable (@@GLOBAL.gtid_owned
) for
the slave shows each GTID that is currently in use and the ID
of the thread that owns it. If the GTID has already been used,
no error is raised, and the auto-skip function is used to
ignore the transaction.
If the GTID has not been used, the slave applies the
replicated transaction. Because
gtid_next
is set to the GTID
already assigned by the master, the slave does not attempt to
generate a new GTID for this transaction, but instead uses the
GTID stored in gtid_next
.
If binary logging is enabled on the slave, the GTID is
persisted atomically at commit time by writing it to the
binary log at the beginning of the transaction (as a
Gtid_log_event
). Whenever the binary log is
rotated or the server is shut down, the server writes GTIDs
for all transactions that were written into the previous
binary log file into the
mysql.gtid_executed
table.
If binary logging is disabled on the slave, the GTID is
persisted atomically by writing it directly into the
mysql.gtid_executed
table. MySQL appends a
statement to the transaction to insert the GTID into the
table. In this situation, the
mysql.gtid_executed
table is a complete
record of the transactions applied on the slave. Note that in
MySQL 5.7, the operation to insert the GTID into the table is
atomic for DML statements, but not for DDL statements, so if
the server exits unexpectedly after a transaction involving
DDL statements, the GTID state might become inconsistent. From
MySQL 8.0, the operation is atomic for DDL statements as well
as for DML statements.
Very shortly after the replicated transaction is committed on
the slave, the GTID is externalized non-atomically by adding
it to the set of GTIDs in the
gtid_executed
system variable
(@@GLOBAL.gtid_executed
) for the slave. As
for the master, this GTID set contains a representation of the
set of all committed GTID transactions. If binary logging is
disabled on the slave, the
mysql.gtid_executed
table is also a
complete record of the transactions applied on the slave. If
binary logging is enabled on the slave, meaning that some
GTIDs are only recorded in the binary log, the set of GTIDs in
the gtid_executed
system
variable is the only complete record.
Client transactions that are completely filtered out on the master
are not assigned a GTID, therefore they are not added to the set
of transactions in the
gtid_executed
system variable, or
added to the mysql.gtid_executed
table.
However, the GTIDs of replicated transactions that are completely
filtered out on the slave are persisted. If binary logging is
enabled on the slave, the filtered-out transaction is written to
the binary log as a Gtid_log_event
followed by
an empty transaction containing only BEGIN
and
COMMIT
statements. If binary logging is
disabled, the GTID of the filtered-out transaction is written to
the mysql.gtid_executed
table. Preserving the
GTIDs for filtered-out transactions ensures that the
mysql.gtid_executed
table and the set of GTIDs
in the gtid_executed
system
variable can be compressed. It also ensures that the filtered-out
transactions are not retrieved again if the slave reconnects to
the master, as explained in
Section 16.1.3.3, “GTID Auto-Positioning”.
On a multithreaded replication slave (with
slave_parallel_workers > 0
),
transactions can be applied in parallel, so replicated
transactions can commit out of order (unless
slave_preserve_commit_order=1
is
set). When that happens, the set of GTIDs in the
gtid_executed
system variable
will contain multiple GTID ranges with gaps between them. (On a
master or a single-threaded replication slave, there will be
monotonically increasing GTIDs without gaps between the numbers.)
Gaps on multithreaded replication slaves only occur among the most
recently applied transactions, and are filled in as replication
progresses. When replication threads are stopped cleanly using the
STOP SLAVE
statement, ongoing
transactions are applied so that the gaps are filled in. In the
event of a shutdown such as a server failure or the use of the
KILL
statement to stop replication
threads, the gaps might remain.
The typical scenario is that the server generates a new GTID for a committed transaction. However, GTIDs can also be assigned to other changes besides transactions, and in some cases a single transaction can be assigned multiple GTIDs.
Every database change (DDL or DML) that is written to the binary
log is assigned a GTID. This includes changes that are
autocommitted, and changes that are committed using
BEGIN
and COMMIT
or
START TRANSACTION
statements. A GTID is also
assigned to the creation, alteration, or deletion of a database,
and of a non-table database object such as a procedure,
function, trigger, event, view, user, role, or grant.
Non-transactional updates as well as transactional updates are assigned GTIDs. In addition, for a non-transactional update, if a disk write failure occurs while attempting to write to the binary log cache and a gap is therefore created in the binary log, the resulting incident log event is assigned a GTID.
When a table is automatically dropped by a generated statement
in the binary log, a GTID is assigned to the statement.
Temporary tables are dropped automatically when a replication
slave begins to apply events from a master that has just been
started, and when statement-based replication is in use
(binlog_format=STATEMENT
) and a
user session that has open temporary tables disconnects. Tables
that use the MEMORY
storage engine
are deleted automatically the first time they are accessed after
the server is started, because rows might have been lost during
the shutdown.
When a transaction is not written to the binary log on the
server of origin, the server does not assign a GTID to it. This
includes transactions that are rolled back and transactions that
are executed while binary logging is disabled on the server of
origin, either globally (with --skip-log-bin
specified in the server's configuration) or for the session
(SET @@SESSION.sql_log_bin = 0
). This also
includes no-op transactions when row-based replication is in use
(binlog_format=ROW
).
XA transactions are assigned separate GTIDs for the XA
PREPARE
phase of the transaction and the XA
COMMIT
or XA ROLLBACK
phase of the
transaction. XA transactions are persistently prepared so that
users can commit them or roll them back in the case of a failure
(which in a replication topology might include a failover to
another server). The two parts of the transaction are therefore
replicated separately, so they must have their own GTIDs, even
though a non-XA transaction that is rolled back would not have a
GTID.
In the following special cases, a single statement can generate multiple transactions, and therefore be assigned multiple GTIDs:
A stored procedure is invoked that commits multiple transactions. One GTID is generated for each transaction that the procedure commits.
A multi-table DROP TABLE
statement drops tables of different types.
A
CREATE
TABLE ... SELECT
statement is issued when
row-based replication is in use
(binlog_format=ROW
). One
GTID is generated for the CREATE
TABLE
action and one GTID is generated for the
row-insert actions.
By default, for new transactions committed in user sessions, the
server automatically generates and assigns a new GTID. When the
transaction is applied on a replication slave, the GTID from the
server of origin is preserved. You can change this behavior by
setting the session value of the
gtid_next
system variable:
When gtid_next
is set to
AUTOMATIC
, which is the default, and a
transaction is committed and written to the binary log, the
server automatically generates and assigns a new GTID. If a
transaction is rolled back or not written to the binary log
for another reason, the server does not generate and assign
a GTID.
If you set gtid_next
to a
valid GTID (consisting of a UUID and a transaction sequence
number, separated by a colon), the server assigns that GTID
to your transaction. This GTID is assigned and added to
gtid_executed
even when the
transaction is not written to the binary log, or when the
transaction is empty.
Note that after you set
gtid_next
to a specific GTID,
and the transaction has been committed or rolled back, an
explicit SET @@SESSION.gtid_next
statement
must be issued before any other statement. You can use this to
set the GTID value back to AUTOMATIC
if you
do not want to assign any more GTIDs explicitly.
When replication applier threads apply replicated transactions,
they use this technique, setting
@@SESSION.gtid_next
explicitly to the GTID of
the replicated transaction as assigned on the server of origin.
This means the GTID from the server of origin is retained,
rather than a new GTID being generated and assigned by the
replication slave. It also means the GTID is added to
gtid_executed
on the
replication slave even when binary logging or slave update
logging is disabled on the slave, or when the transaction is a
no-op or is filtered out on the slave.
It is possible for a client to simulate a replicated transaction
by setting @@SESSION.gtid_next
to a specific
GTID before executing the transaction. This technique is used by
mysqlbinlog to generate a dump of the binary
log that the client can replay to preserve GTIDs. A simulated
replicated transaction committed through a client is completely
equivalent to a replicated transaction committed through a
replication applier thread, and they cannot be distinguished
after the fact.
The set of GTIDs in the
gtid_purged
system variable
(@@GLOBAL.gtid_purged
) contains the GTIDs of
all the transactions that have been committed on the server, but
do not exist in any binary log file on the server.
gtid_purged
is a subset of
gtid_executed
. The following
categories of GTIDs are in
gtid_purged
:
GTIDs of replicated transactions that were committed with binary logging disabled on the slave.
GTIDs of transactions that were written to a binary log file that has now been purged.
GTIDs that were added explicitly to the set by the statement
SET @@GLOBAL.gtid_purged
.
You can change the value of
gtid_purged
in order to record
on the server that the transactions in a certain GTID set have
been applied, although they do not exist in any binary log on
the server. When you add GTIDs to
gtid_purged
, they are also
added to gtid_executed
. An
example use case for this action is when you are restoring a
backup of one or more databases on a server, but you do not have
the relevant binary logs containing the transactions on the
server. In MySQL 5.7, you can only change the value of
gtid_purged
when
gtid_executed
(and therefore
gtid_purged
) is empty. For
details of how to do this, see the description for
gtid_purged
.
The sets of GTIDs in the
gtid_executed
and
gtid_purged
system variables
are initialized when the server starts. Every binary log file
begins with the event
Previous_gtids_log_event
, which contains the
set of GTIDs in all previous binary log files (composed from the
GTIDs in the preceding file's
Previous_gtids_log_event
, and the GTIDs of
every Gtid_log_event
in the preceding file
itself). The contents of
Previous_gtids_log_event
in the oldest and
most recent binary log files are used to compute the
gtid_executed
and
gtid_purged
sets at server
startup:
gtid_executed
is computed
as the union of the GTIDs in
Previous_gtids_log_event
in the most
recent binary log file, the GTIDs of transactions in that
binary log file, and the GTIDs stored in the
mysql.gtid_executed
table. This GTID set
contains all the GTIDs that have been used (or added
explicitly to gtid_purged
)
on the server, whether or not they are currently in a binary
log file on the server. It does not include the GTIDs for
transactions that are currently being processed on the
server (@@GLOBAL.gtid_owned
).
gtid_purged
is computed by
first adding the GTIDs in
Previous_gtids_log_event
in the most
recent binary log file and the GTIDs of transactions in that
binary log file. This step gives the set of GTIDs that are
currently, or were once, recorded in a binary log on the
server (gtids_in_binlog
). Next, the GTIDs
in Previous_gtids_log_event
in the oldest
binary log file are subtracted from
gtids_in_binlog
. This step gives the set
of GTIDs that are currently recorded in a binary log on the
server (gtids_in_binlog_not_purged
).
Finally, gtids_in_binlog_not_purged
is
subtracted from
gtid_executed
. The result
is the set of GTIDs that have been used on the server, but
are not currently recorded in a binary log file on the
server, and this result is used to initialize
gtid_purged
.
If binary logs from MySQL 5.7.7 or older are involved in these
computations, it is possible for incorrect GTID sets to be
computed for gtid_executed
and
gtid_purged
, and they remain
incorrect even if the server is later restarted. For details,
see the description for the
binlog_gtid_simple_recovery
system variable, which controls how the binary logs are iterated
to compute the GTID sets. If one of the situations described
there applies on a server, set
binlog_gtid_simple_recovery=FALSE
in the server's configuration file before starting it. That
setting makes the server iterate all the binary log files (not
just the newest and oldest) to find where GTID events start to
appear. This process could take a long time if the server has a
large number of binary log files without GTID events.
If you need to reset the GTID execution history on a server, use
the RESET MASTER
statement. For
example, you might need to do this after carrying out test
queries to verify a replication setup on new GTID-enabled
servers, or when you want to join a new server to a replication
group but it contains some unwanted local transactions that are
not accepted by Group Replication.
Use RESET MASTER
with caution
to avoid losing any wanted GTID execution history and binary
log files.
Before issuing RESET MASTER
,
ensure that you have backups of the server's binary log files
and binary log index file, if any, and obtain and save the GTID
set held in the global value of the
gtid_executed
system variable
(for example, by issuing a SELECT
@@GLOBAL.gtid_executed
statement and saving the
results). If you are removing unwanted transactions from that
GTID set, use mysqlbinlog to examine the
contents of the transactions to ensure that they have no value,
contain no data that must be saved or replicated, and did not
result in data changes on the server.
When you issue RESET MASTER
, the
following reset operations are carried out:
The value of the
gtid_purged
system variable
is set to an empty string (''
).
The global value (but not the session value) of the
gtid_executed
system
variable is set to an empty string.
The mysql.gtid_executed
table is cleared
(see
mysql.gtid_executed Table).
If the server has binary logging enabled, the existing binary log files are deleted and the binary log index file is cleared.
Note that RESET MASTER
is the
method to reset the GTID execution history even if the server is
a replication slave where binary logging is disabled.
RESET SLAVE
has no effect on the
GTID execution history.
GTIDs replace the file-offset pairs previously required to determine points for starting, stopping, or resuming the flow of data between master and slave. When GTIDs are in use, all the information that the slave needs for synchronizing with the master is obtained directly from the replication data stream.
To start a slave using GTID-based replication, you do not include
MASTER_LOG_FILE
or
MASTER_LOG_POS
options in the
CHANGE MASTER TO
statement used to
direct the slave to replicate from a given master. These options
specify the name of the log file and the starting position within
the file, but with GTIDs the slave does not need this nonlocal
data. Instead, you need to enable the
MASTER_AUTO_POSITION
option. For full
instructions to configure and start masters and slaves using
GTID-based replication, see
Section 16.1.3.4, “Setting Up Replication Using GTIDs”.
The MASTER_AUTO_POSITION
option is disabled by
default. If multi-source replication is enabled on the slave, you
need to set the option for each applicable replication channel.
Disabling the MASTER_AUTO_POSITION
option again
makes the slave revert to file-based replication, in which case
you must also specify one or both of the
MASTER_LOG_FILE
or
MASTER_LOG_POS
options.
When a replication slave has GTIDs enabled
(GTID_MODE=ON
,
ON_PERMISSIVE,
or
OFF_PERMISSIVE
) and the
MASTER_AUTO_POSITION
option enabled,
auto-positioning is activated for connection to the master. The
master must have GTID_MODE=ON
set
in order for the connection to succeed. In the initial handshake,
the slave sends a GTID set containing the transactions that it has
already received, committed, or both. This GTID set is equal to
the union of the set of GTIDs in the
gtid_executed
system variable
(@@GLOBAL.gtid_executed
), and the set of GTIDs
recorded in the Performance Schema
replication_connection_status
table
as received transactions (the result of the statement
SELECT RECEIVED_TRANSACTION_SET FROM
PERFORMANCE_SCHEMA.replication_connection_status
).
The master responds by sending all transactions recorded in its binary log whose GTID is not included in the GTID set sent by the slave. This exchange ensures that the master only sends the transactions with a GTID that the slave has not already received or committed. If the slave receives transactions from more than one master, as in the case of a diamond topology, the auto-skip function ensures that the transactions are not applied twice.
If any of the transactions that should be sent by the master have
been purged from the master's binary log, or added to the set of
GTIDs in the gtid_purged
system variable by another method, the master sends the error
ER_MASTER_HAS_PURGED_REQUIRED_GTIDS to the
slave, and replication does not start. The GTIDs of the missing
purged transactions are identified and listed in the master's
error log in the warning message
ER_FOUND_MISSING_GTIDS. The slave cannot
recover automatically from this error because parts of the
transaction history that are needed to catch up with the master
have been purged. Attempting to reconnect without the
MASTER_AUTO_POSITION
option enabled only
results in the loss of the purged transactions on the slave. The
correct approach to recover from this situation is for the slave
to replicate the missing transactions listed in the
ER_FOUND_MISSING_GTIDS message from another
source, or for the slave to be replaced by a new slave created
from a more recent backup. Consider revising the binary log
expiration period on the master to ensure that the situation does
not occur again.
If during the exchange of transactions it is found that the slave
has received or committed transactions with the master's UUID in
the GTID, but the master itself does not have a record of them,
the master sends the error
ER_SLAVE_HAS_MORE_GTIDS_THAN_MASTER to the
slave and replication does not start. This situation can occur if
a master that does not have
sync_binlog=1
set experiences a
power failure or operating system crash, and loses committed
transactions that have not yet been synchronized to the binary log
file, but have been received by the slave. The master and slave
can diverge if any clients commit transactions on the master after
it is restarted, which can lead to the situation where the master
and slave are using the same GTID for different transactions. The
correct approach to recover from this situation is to check
manually whether the master and slave have diverged. If the same
GTID is now in use for different transactions, you either need to
perform manual conflict resolution for individual transactions as
required, or remove either the master or the slave from the
replication topology. If the issue is only missing transactions on
the master, you can make the master into a slave instead, allow it
to catch up with the other servers in the replication topology,
and then make it a master again if needed.
This section describes a process for configuring and starting GTID-based replication in MySQL 5.7. This is a “cold start” procedure that assumes either that you are starting the replication master for the first time, or that it is possible to stop it; for information about provisioning replication slaves using GTIDs from a running master, see Section 16.1.3.5, “Using GTIDs for Failover and Scaleout”. For information about changing GTID mode on servers online, see Section 16.1.5, “Changing Replication Modes on Online Servers”.
The key steps in this startup process for the simplest possible GTID replication topology, consisting of one master and one slave, are as follows:
If replication is already running, synchronize both servers by making them read-only.
Stop both servers.
Restart both servers with GTIDs enabled and the correct options configured.
The mysqld options necessary to start the servers as described are discussed in the example that follows later in this section.
Instruct the slave to use the master as the replication data source and to use auto-positioning. The SQL statements needed to accomplish this step are described in the example that follows later in this section.
Take a new backup. Binary logs containing transactions without GTIDs cannot be used on servers where GTIDs are enabled, so backups taken before this point cannot be used with your new configuration.
Start the slave, then disable read-only mode on both servers, so that they can accept updates.
In the following example, two servers are already running as
master and slave, using MySQL's binary log position-based
replication protocol. If you are starting with new servers, see
Section 16.1.2.2, “Creating a User for Replication” for information about
adding a specific user for replication connections and
Section 16.1.2.1, “Setting the Replication Master Configuration” for
information about setting the
server_id
variable. The following
examples show how to store mysqld startup
options in server's option file, see
Section 4.2.2.2, “Using Option Files” for more information. Alternatively
you can use startup options when running
mysqld.
Most of the steps that follow require the use of the MySQL
root
account or another MySQL user account that
has the SUPER
privilege.
mysqladmin shutdown
requires
either the SUPER
privilege or the
SHUTDOWN
privilege.
Step 1: Synchronize the servers.
This step is only required when working with servers which are
already replicating without using GTIDs. For new servers proceed
to Step 3. Make the servers read-only by setting the
read_only
system variable to
ON
on each server by issuing the following:
mysql> SET @@GLOBAL.read_only = ON;
Wait for all ongoing transactions to commit or roll back. Then, allow the slave to catch up with the master. It is extremely important that you make sure the slave has processed all updates before continuing.
If you use binary logs for anything other than replication, for example to do point in time backup and restore, wait until you do not need the old binary logs containing transactions without GTIDs. Ideally, wait for the server to purge all binary logs, and wait for any existing backup to expire.
It is important to understand that logs containing transactions without GTIDs cannot be used on servers where GTIDs are enabled. Before proceeding, you must be sure that transactions without GTIDs do not exist anywhere in the topology.
Step 2: Stop both servers.
Stop each server using mysqladmin as shown
here, where username
is the user name
for a MySQL user having sufficient privileges to shut down the
server:
shell> mysqladmin -uusername
-p shutdown
Then supply this user's password at the prompt.
Step 3: Start both servers with GTIDs enabled.
To enable GTID-based replication, each server must be started
with GTID mode enabled by setting the
gtid_mode
variable to
ON
, and with the
enforce_gtid_consistency
variable enabled to ensure that only statements which are safe
for GTID-based replication are logged. For example:
gtid_mode=ON enforce-gtid-consistency=ON
In addition, you should start slaves with the
--skip-slave-start
option before
configuring the slave settings. For more information on GTID
related options and variables, see
Section 16.1.6.5, “Global Transaction ID System Variables”.
It is not mandatory to have binary logging enabled in order to use
GTIDs when using the
mysql.gtid_executed Table. Masters
must always have binary logging enabled in order to be able to
replicate. However, slave servers can use GTIDs but without binary
logging. If you need to disable binary logging on a slave server,
you can do this by specifying the
--skip-log-bin
and --log-slave-updates=OFF
options
for the slave.
Step 4: Configure the slave to use GTID-based auto-positioning.
Tell the slave to use the master with GTID based transactions as
the replication data source, and to use GTID-based
auto-positioning rather than file-based positioning. Issue a
CHANGE MASTER TO
statement on the
slave, including the MASTER_AUTO_POSITION
option in the statement to tell the slave that the master's
transactions are identified by GTIDs.
You may also need to supply appropriate values for the master's host name and port number as well as the user name and password for a replication user account which can be used by the slave to connect to the master; if these have already been set prior to Step 1 and no further changes need to be made, the corresponding options can safely be omitted from the statement shown here.
mysql>CHANGE MASTER TO
>MASTER_HOST =
>host
,MASTER_PORT =
>port
,MASTER_USER =
>user
,MASTER_PASSWORD =
>password
,MASTER_AUTO_POSITION = 1;
Neither the MASTER_LOG_FILE
option nor the
MASTER_LOG_POS
option may be used with
MASTER_AUTO_POSITION
set equal to 1. Attempting
to do so causes the CHANGE MASTER
TO
statement to fail with an error.
Step 5: Take a new backup. Existing backups that were made before you enabled GTIDs can no longer be used on these servers now that you have enabled GTIDs. Take a new backup at this point, so that you are not left without a usable backup.
For instance, you can execute FLUSH
LOGS
on the server where you are taking backups. Then
either explicitly take a backup or wait for the next iteration of
any periodic backup routine you may have set up.
Step 6: Start the slave and disable read-only mode. Start the slave like this:
mysql> START SLAVE;
The following step is only necessary if you configured a server to be read-only in Step 1. To allow the server to begin accepting updates again, issue the following statement:
mysql> SET @@GLOBAL.read_only = OFF;
GTID-based replication should now be running, and you can begin (or resume) activity on the master as before. Section 16.1.3.5, “Using GTIDs for Failover and Scaleout”, discusses creation of new slaves when using GTIDs.
There are a number of techniques when using MySQL Replication with Global Transaction Identifiers (GTIDs) for provisioning a new slave which can then be used for scaleout, being promoted to master as necessary for failover. This section describes the following techniques:
Global transaction identifiers were added to MySQL Replication for the purpose of simplifying in general management of the replication data flow and of failover activities in particular. Each identifier uniquely identifies a set of binary log events that together make up a transaction. GTIDs play a key role in applying changes to the database: the server automatically skips any transaction having an identifier which the server recognizes as one that it has processed before. This behavior is critical for automatic replication positioning and correct failover.
The mapping between identifiers and sets of events comprising a given transaction is captured in the binary log. This poses some challenges when provisioning a new server with data from another existing server. To reproduce the identifier set on the new server, it is necessary to copy the identifiers from the old server to the new one, and to preserve the relationship between the identifiers and the actual events. This is neccessary for restoring a slave that is immediately available as a candidate to become a new master on failover or switchover.
Simple replication. The easiest way to reproduce all identifiers and transactions on a new server is to make the new server into the slave of a master that has the entire execution history, and enable global transaction identifiers on both servers. See Section 16.1.3.4, “Setting Up Replication Using GTIDs”, for more information.
Once replication is started, the new server copies the entire binary log from the master and thus obtains all information about all GTIDs.
This method is simple and effective, but requires the slave to read the binary log from the master; it can sometimes take a comparatively long time for the new slave to catch up with the master, so this method is not suitable for fast failover or restoring from backup. This section explains how to avoid fetching all of the execution history from the master by copying binary log files to the new server.
Copying data and transactions to the slave. Executing the entire transaction history can be time-consuming when the source server has processed a large number of transactions previously, and this can represent a major bottleneck when setting up a new replication slave. To eliminate this requirement, a snapshot of the data set, the binary logs and the global transaction information the source server contains can be imported to the new slave. The source server can be either the master or the slave, but you must ensure that the source has processed all required transactions before copying the data.
There are several variants of this method, the difference being in the manner in which data dumps and transactions from binary logs are transfered to the slave, as outlined here:
Create a dump file using mysqldump on
the source server. Set the mysqldump
option --master-data
(with the default value of 1) to include a
CHANGE MASTER TO
statement with binary logging information. Set the
--set-gtid-purged
option to AUTO
(the default) or
ON
, to include information about
executed transactions in the dump. Then use the
mysql client to import the dump file
on the target server.
Alternatively, create a data snapshot of the source
server using raw data files, then copy these files to
the target server, following the instructions in
Section 16.1.2.4, “Choosing a Method for Data Snapshots”. If you
use InnoDB
tables, you can
use the mysqlbackup command from the
MySQL Enterprise Backup component to produce a
consistent snapshot. This command records the log name
and offset corresponding to the snapshot to be used on
the slave. MySQL Enterprise Backup is a commercial
product that is included as part of a MySQL Enterprise
subscription. See
Section 29.2, “MySQL Enterprise Backup Overview” for detailed
information.
Alternatively, stop both the source and target servers,
copy the contents of the source's data directory to the
new slave's data directory, then restart the slave.
If you use this method, the slave must be configured for
GTID-based replication, in other words with
gtid_mode=ON
. For
instructions and important information for this method,
see
Section 16.1.2.6, “Adding Slaves to a Replication Environment”.
If the source server has a complete transaction history in
its binary logs (that is, the GTID set
@@GLOBAL.gtid_purged
is empty), you can
use these methods.
Import the binary logs from the source server to the new
slave using mysqlbinlog, with the
--read-from-remote-server
and
--read-from-remote-master
options.
Alternatively, copy the source server's binary log files
to the slave. You can make copies from the slave using
mysqlbinlog with the
--read-from-remote-server
and --raw
options.
These can be read into the slave by using
mysqlbinlog >
(without the file
--raw
option) to export the binary log files to SQL files,
then passing these files to the mysql
client for processing. Ensure that all of the binary log
files are processed using a single
mysql process, rather than multiple
connections. For example:
shell> mysqlbinlog copied-binlog.000001 copied-binlog.000002 | mysql -u root -p
For more information, see Section 4.6.7.3, “Using mysqlbinlog to Back Up Binary Log Files”.
This method has the advantage that a new server is available almost immediately; only those transactions that were committed while the snapshot or dump file was being replayed still need to be obtained from the existing master. This means that the slave's availability is not instantanteous, but only a relatively short amount of time should be required for the slave to catch up with these few remaining transactions.
Copying over binary logs to the target server in advance is usually faster than reading the entire transaction execution history from the master in real time. However, it may not always be feasible to move these files to the target when required, due to size or other considerations. The two remaining methods for provisioning a new slave discussed in this section use other means to transfer information about transactions to the new slave.
Injecting empty transactions.
The master's global
gtid_executed
variable contains
the set of all transactions executed on the master. Rather than
copy the binary logs when taking a snapshot to provision a new
server, you can instead note the content of
gtid_executed
on the server from which the
snapshot was taken. Before adding the new server to the
replication chain, simply commit an empty transaction on the new
server for each transaction identifier contained in the
master's gtid_executed
, like this:
SET GTID_NEXT='aaa-bbb-ccc-ddd:N'; BEGIN; COMMIT; SET GTID_NEXT='AUTOMATIC';
Once all transaction identifiers have been reinstated in this way
using empty transactions, you must flush and purge the
slave's binary logs, as shown here, where
N
is the nonzero suffix of the current
binary log file name:
FLUSH LOGS;
PURGE BINARY LOGS TO 'master-bin.00000N
';
You should do this to prevent this server from flooding the
replication stream with false transactions in the event that it is
later promoted to master. (The FLUSH
LOGS
statement forces the creation of a new binary log
file; PURGE BINARY LOGS
purges the
empty transactions, but retains their identifiers.)
This method creates a server that is essentially a snapshot, but in time is able to become a master as its binary log history converges with that of the replication stream (that is, as it catches up with the master or masters). This outcome is similar in effect to that obtained using the remaining provisioning method, which we discuss in the next few paragraphs.
Excluding transactions with gtid_purged.
The master's global
gtid_purged
variable contains
the set of all transactions that have been purged from the
master's binary log. As with the method discussed
previously (see
Injecting empty transactions), you can
record the value of
gtid_executed
on the server
from which the snapshot was taken (in place of copying the
binary logs to the new server). Unlike the previous method,
there is no need to commit empty transactions (or to issue
PURGE BINARY LOGS
); instead, you
can set gtid_purged
on the
slave directly, based on the value of
gtid_executed
on the server
from which the backup or snapshot was taken.
As with the method using empty transactions, this method creates a server that is functionally a snapshot, but in time is able to become a master as its binary log history converges with that of the replication master or group.
Restoring GTID mode slaves. When restoring a slave in a GTID based replication setup that has encountered an error, injecting an empty transaction may not solve the problem because an event does not have a GTID.
Use mysqlbinlog to find the next transaction,
which is probably the first transaction in the next log file after
the event. Copy everything up to the COMMIT
for
that transaction, being sure to include the SET
@@SESSION.GTID_NEXT
. Even if you are not using row-based
replication, you can still run binary log row events in the
command line client.
Stop the slave and run the transaction you copied. The
mysqlbinlog output sets the delimiter to
/*!*/;
, so set it back:
mysql> DELIMITER ;
Restart replication from the correct position automatically:
mysql>SET GTID_NEXT=automatic;
mysql>RESET SLAVE;
mysql>START SLAVE;
Because GTID-based replication is dependent on transactions, some features otherwise available in MySQL are not supported when using it. This section provides information about restrictions on and limitations of replication with GTIDs.
Updates involving nontransactional storage engines.
When using GTIDs, updates to tables using nontransactional
storage engines such as MyISAM
cannot be made in the same statement or transaction as updates
to tables using transactional storage engines such as
InnoDB
.
This restriction is due to the fact that updates to tables that use a nontransactional storage engine mixed with updates to tables that use a transactional storage engine within the same transaction can result in multiple GTIDs being assigned to the same transaction.
Such problems can also occur when the master and the slave use different storage engines for their respective versions of the same table, where one storage engine is transactional and the other is not. Also be aware that triggers that are defined to operate on nontransactional tables can be the cause of these problems.
In any of the cases just mentioned, the one-to-one correspondence between transactions and GTIDs is broken, with the result that GTID-based replication cannot function correctly.
CREATE TABLE ... SELECT statements.
CREATE
TABLE ... SELECT
statements are not allowed when using
GTID-based replication. When
binlog_format
is set to
STATEMENT, a CREATE TABLE ... SELECT
statement is recorded in the binary log as one transaction with
one GTID, but if ROW format is used, the statement is recorded
as two transactions with two GTIDs. If a master used STATEMENT
format and a slave used ROW format, the slave would be unable to
handle the transaction correctly, therefore the CREATE
TABLE ... SELECT
statement is disallowed with GTIDs to
prevent this scenario.
Temporary tables.
CREATE TEMPORARY
TABLE
and
DROP TEMPORARY
TABLE
statements are not supported inside
transactions, procedures, functions, and triggers when using
GTIDs (that is, when the
enforce_gtid_consistency
system
variable is set to ON
). It is possible to use
these statements with GTIDs enabled, but only outside of any
transaction, and only with
autocommit=1
.
Preventing execution of unsupported statements.
To prevent execution of statements that would cause GTID-based
replication to fail, all servers must be started with the
--enforce-gtid-consistency
option
when enabling GTIDs. This causes statements of any of the types
discussed previously in this section to fail with an error.
Note that
--enforce-gtid-consistency
only
takes effect if binary logging takes place for a statement. If
binary logging is disabled on the server, or if statements are not
written to the binary log because they are removed by a filter,
GTID consistency is not checked or enforced for the statements
that are not logged.
For information about other required startup options when enabling GTIDs, see Section 16.1.3.4, “Setting Up Replication Using GTIDs”.
Skipping transactions.
sql_slave_skip_counter
is not
supported when using GTIDs. If you need to skip transactions,
use the value of the master's
gtid_executed
variable instead;
see Injecting empty transactions, for more
information.
Ignoring servers.
The IGNORE_SERVER_IDS option of the CHANGE
MASTER TO
statement is deprecated when using GTIDs,
because transactions that have already been applied are
automatically ignored. Before starting GTID-based replication,
check for and clear all ignored server ID lists that have
previously been set on the servers involved. The
SHOW SLAVE STATUS
statement,
which can be issued for individual channels, displays the list
of ignored server IDs if there is one. If there is no list, the
Replicate_Ignore_Server_Ids
field is blank.
GTID mode and mysqldump. It is possible to import a dump made using mysqldump into a MySQL server running with GTID mode enabled, provided that there are no GTIDs in the target server's binary log.
GTID mode and mysql_upgrade.
When the server is running with global transaction identifiers
(GTIDs) enabled (gtid_mode=ON
),
do not enable binary logging by mysql_upgrade
(the --write-binlog
option).
MySQL includes some built-in (native) functions for use with GTID-based replication. These functions are as follows:
GTID_SUBSET(set1
,set2
)
Given two sets of global transaction identifiers
set1
and
set2
, returns true if all GTIDs
in set1
are also in
set2
. Returns false otherwise.
GTID_SUBTRACT(set1
,set2
)
Given two sets of global transaction identifiers
set1
and
set2
, returns only those GTIDs
from set1
that are not in
set2
.
WAIT_FOR_EXECUTED_GTID_SET(gtid_set
[,
timeout
])
Wait until the server has applied all of the transactions
whose global transaction identifiers are contained in
gtid_set
. The optional timeout
stops the function from waiting after the specified number
of seconds have elapsed.
WAIT_UNTIL_SQL_THREAD_AFTER_GTIDS(gtid_set
[,
timeout
][,channel
])
Like WAIT_FOR_EXECUTED_GTID_SET(),
but
for a single started replication channel. Use
WAIT_FOR_EXECUTED_GTID_SET()
instead to
ensure all channels are covered in all states.
For details of these functions, see Section 12.18, “Functions Used with Global Transaction Identifiers (GTIDs)”.
You can define your own stored functions to work with GTIDs. For
information on defining stored functions, see
Chapter 23, Stored Objects. The following examples show some
useful stored functions that can be created based on the built-in
GTID_SUBSET()
and
GTID_SUBTRACT()
functions.
Note that in these stored functions, the delimiter command has been used to change the MySQL statement delimiter to a vertical bar, as follows:
mysql> delimiter |
All of these functions take string representations of GTID sets as arguments, so GTID sets must always be quoted when used with them.
This function returns nonzero (true) if two GTID sets are the same set, even if they are not formatted in the same way.
CREATE FUNCTION GTID_IS_EQUAL(gtid_set_1 LONGTEXT, gtid_set_2 LONGTEXT) RETURNS INT RETURN GTID_SUBSET(gtid_set_1, gtid_set_2) AND GTID_SUBSET(gtid_set_2, gtid_set_1)|
This function returns nonzero (true) if two GTID sets are disjoint.
CREATE FUNCTION GTID_IS_DISJOINT(gtid_set_1 LONGTEXT, gtid_set_2 LONGTEXT) RETURNS INT RETURN GTID_SUBSET(gtid_set_1, GTID_SUBTRACT(gtid_set_1, gtid_set_2))|
This function returns nonzero (true) if two GTID sets are
disjoint, and sum
is the union of the two sets.
CREATE FUNCTION GTID_IS_DISJOINT_UNION(gtid_set_1 LONGTEXT, gtid_set_2 LONGTEXT, sum LONGTEXT) RETURNS INT RETURN GTID_IS_EQUAL(GTID_SUBTRACT(sum, gtid_set_1), gtid_set_2) AND GTID_IS_EQUAL(GTID_SUBTRACT(sum, gtid_set_2), gtid_set_1)|
This function returns a normalized form of the GTID set, in all uppercase, with no whitespace and no duplicates. The UUIDs are arranged in alphabetic order and intervals are arranged in numeric order.
CREATE FUNCTION GTID_NORMALIZE(g LONGTEXT) RETURNS LONGTEXT RETURN GTID_SUBTRACT(g, '')|
This function returns the union of two GTID sets.
CREATE FUNCTION GTID_UNION(gtid_set_1 LONGTEXT, gtid_set_2 LONGTEXT) RETURNS LONGTEXT RETURN GTID_NORMALIZE(CONCAT(gtid_set_1, ',', gtid_set_2))|
This function returns the intersection of two GTID sets.
CREATE FUNCTION GTID_INTERSECTION(gtid_set_1 LONGTEXT, gtid_set_2 LONGTEXT) RETURNS LONGTEXT RETURN GTID_SUBTRACT(gtid_set_1, GTID_SUBTRACT(gtid_set_1, gtid_set_2))|
This function returns the symmetric difference between two GTID
sets, that is, the GTIDs that exist in
gtid_set_1
but not in
gtid_set_2
, and also the GTIDs that exist in
gtid_set_2
but not in
gtid_set_1
.
CREATE FUNCTION GTID_SYMMETRIC_DIFFERENCE(gtid_set_1 LONGTEXT, gtid_set_2 LONGTEXT) RETURNS LONGTEXT RETURN GTID_SUBTRACT(CONCAT(gtid_set_1, ',', gtid_set_2), GTID_INTERSECTION(gtid_set_1, gtid_set_2))|
This function removes from a GTID set all the GTIDs from a
specified origin, and returns the remaining GTIDs, if any. The
UUID is the identifier used by the server where the transaction
originated, which is normally the
server_uuid
value.
CREATE FUNCTION GTID_SUBTRACT_UUID(gtid_set LONGTEXT, uuid TEXT) RETURNS LONGTEXT RETURN GTID_SUBTRACT(gtid_set, CONCAT(UUID, ':1-', (1 << 63) - 2))|
This function reverses the previously listed function to return only those GTIDs from the GTID set that originate from the server with the specified identifier (UUID).
CREATE FUNCTION GTID_INTERSECTION_WITH_UUID(gtid_set LONGTEXT, uuid TEXT) RETURNS LONGTEXT RETURN GTID_SUBTRACT(gtid_set, GTID_SUBTRACT_UUID(gtid_set, uuid))|
Example 16.1 Verifying that a replication slave is up to date
The built-in functions GTID_SUBSET
and
GTID_SUBTRACT
can be used to check that a
replication slave has applied at least every transaction that a
master has applied.
To perform this check with GTID_SUBSET
,
execute the following statement on the slave:
SELECT GTID_SUBSET(master_gtid_executed
,slave_gtid_executed
)
If this returns 0 (false), some GTIDs in
master_gtid_executed
are not present
in slave_gtid_executed
, so the master
has applied some transactions that the slave has not applied,
and the slave is therefore not up to date.
To perform the check with GTID_SUBTRACT
,
execute the following statement on the slave:
SELECT GTID_SUBTRACT(master_gtid_executed
,slave_gtid_executed
)
This statement returns any GTIDs that are in
master_gtid_executed
but not in
slave_gtid_executed
. If any GTIDs are
returned, the master has applied some transactions that the
slave has not applied, and the slave is therefore not up to
date.
Example 16.2 Backup and restore scenario
The stored functions GTID_IS_EQUAL
,
GTID_IS_DISJOINT
, and
GTID_IS_DISJOINT_UNION
could be used to
verify backup and restore operations involving multiple
databases and servers. In this example scenario,
server1
contains database
db1
, and server2
contains
database db2
. The goal is to copy database
db2
to server1
, and the
result on server1
should be the union of the
two databases. The procedure used is to back up
server2
using mysqlpump or
mysqldump, then restore this backup on
server1
.
Provided the backup program's option
--set-gtid-purged
was set to
ON
or the default of AUTO
,
the program's output contains a SET
@@GLOBAL.gtid_purged
statement that will add the
gtid_executed
set from
server2
to the
gtid_purged
set on
server1
. The
gtid_purged
set contains the
GTIDs of all the transactions that have been committed on a
server but do not exist in any binary log file on the server.
When database db2
is copied to
server1
, the GTIDs of the transactions
committed on server2
, which are not in the
binary log files on server1
, must be added to
server1
's
gtid_purged
set to make the set
complete.
The stored functions can be used to assist with the following steps in this scenario:
Use GTID_IS_EQUAL
to verify that the
backup operation computed the correct GTID set for the
SET @@GLOBAL.gtid_purged
statement. On
server2
, extract that statement from the
mysqlpump or mysqldump
output, and store the GTID set into a local variable, such
as $gtid_purged_set
. Then execute the
following statement:
server2> SELECT GTID_IS_EQUAL($gtid_purged_set, @@GLOBAL.gtid_executed);
If the result is 1, the two GTID sets are equal, and the set has been computed correctly.
Use GTID_IS_DISJOINT
to verify that the
GTID set in the mysqlpump or
mysqldump output does not overlap with
the gtid_executed
set on
server1
. If there is any overlap, with
identical GTIDs present on both servers for some reason, you
will see errors when copying database db2
to server1
. To check, on
server1
, extract and store the
gtid_purged
set from the
output into a local variable as above, then execute the
following statement:
server1> SELECT GTID_IS_DISJOINT($gtid_purged_set, @@GLOBAL.gtid_executed);
If the result is 1, there is no overlap between the two GTID sets, so no duplicate GTIDs are present.
Use GTID_IS_DISJOINT_UNION
to verify
that the restore operation resulted in the correct GTID
state on server1
. Before restoring the
backup, on server1
, obtain the existing
gtid_executed
set by
executing the following statement:
server1> SELECT @@GLOBAL.gtid_executed;
Store the result in a local variable
$original_gtid_executed
. Also store the
gtid_purged
set in a local
variable as described above. When the backup from
server2
has been restored onto
server1
, execute the following statement
to verify the GTID state:
server1> SELECT GTID_IS_DISJOINT_UNION($original_gtid_executed, $gtid_purged_set, @@GLOBAL.gtid_executed);
If the result is 1, the stored function has verified that
the original gtid_executed
set from server1
($original_gtid_executed
) and the
gtid_purged
set that was
added from server2
($gtid_purged_set
) have no overlap, and
also that the updated
gtid_executed
set on
server1
now consists of the previous
gtid_executed
set from
server1
plus the
gtid_purged
set from
server2
, which is the desired result.
Ensure that this check is carried out before any further
transactions take place on server1
,
otherwise the new transactions in the
gtid_executed
set will
cause it to fail.
Example 16.3 Selecting the most up-to-date slave for manual failover
The stored function GTID_UNION
could be
used to identify the most up-to-date replication slave from a
set of slaves, in order to perform a manual failover operation
after a replication master has stopped unexpectedly. If some of
the slaves are experiencing replication lag, this stored
function can be used to compute the most up-to-date slave
without waiting for all the slaves to apply their existing relay
logs, and therefore to minimize the failover time. The function
can return the union of the
gtid_executed
set on each slave
with the set of transactions received by the slave, which is
recorded in the Performance Schema table
replication_connection_status
. You
can compare these results to find which slave's record of
transactions is the most up-to-date, even if not all of the
transactions have been committed yet.
On each replication slave, compute the complete record of transactions by issuing the following statement:
SELECT GTID_UNION(RECEIVED_TRANSACTION_SET, @@GLOBAL.gtid_executed) FROM performance_schema.replication_connection_status WHERE channel_name = 'name';
You can then compare the results from each slave to see which one has the most up-to-date record of transactions, and use this slave as the new replication master.
Example 16.4 Checking for extraneous transactions on a replication slave
The stored function GTID_SUBTRACT_UUID
could be used to check whether a replication slave has received
transactions that did not originate from its designated master
or masters. If it has, there might be an issue with your
replication setup, or with a proxy, router, or load balancer.
This function works by removing from a GTID set all the GTIDs
from a specified originating server, and returning the remaining
GTIDs, if any.
For a replication slave with a single master, issue the
following statement, giving the identifier of the originating
replication master, which is normally the
server_uuid
value:
SELECT GTID_SUBTRACT_UUID(@@GLOBAL.gtid_executed, server_uuid_of_master);
If the result is not empty, the transactions returned are extra transactions that did not originate from the designated master.
For a slave in a multi-master replication topology, repeat the function, for example:
SELECT GTID_SUBTRACT_UUID(GTID_SUBTRACT_UUID(@@GLOBAL.gtid_executed, server_uuid_of_master_1), server_uuid_of_master_2);
If the result is not empty, the transactions returned are extra transactions that did not originate from any of the designated masters.
Example 16.5 Verifying that a server in a replication topology is read-only
The stored function
GTID_INTERSECTION_WITH_UUID
could be used
to verify that a server has not originated any GTIDs and is in a
read-only state. The function returns only those GTIDs from the
GTID set that originate from the server with the specified
identifier. If any of the transactions in the server's
gtid_executed
set have the
server's own identifier, the server itself originated those
transactions. You can issue the following statement on the
server to check:
SELECT GTID_INTERSECTION_WITH_UUID(@@GLOBAL.gtid_executed, my_server_uuid);
Example 16.6 Validating an additional slave in a multi-master replication setup
The stored function
GTID_INTERSECTION_WITH_UUID
could be used
to find out if a slave attached to a multi-master replication
setup has applied all the transactions originating from one
particular master. In this scenario, master1
and master2
are both masters and slaves and
replicate to each other. master2
also has its
own replication slave. The replication slave will also receive
and apply master1
's transactions if
master2
is configured with
log_slave_updates=ON
, but it
will not do so if master2
uses
log_slave_updates=OFF
. Whatever
the case, we currently only want to find out if the replication
slave is up to date with master2
. In this
situation, the stored function
GTID_INTERSECTION_WITH_UUID
can be used to
identify the transactions that master2
originated, discarding the transactions that
master2
has replicated from
master1
. The built-in function
GTID_SUBSET
can then be used to compare the
result to the gtid_executed
set
on the slave. If the slave is up to date with
master2
, the
gtid_executed
set on the slave
contains all the transactions in the intersection set (the
transactions that originated from master2
).
To carry out this check, store master2
's
gtid_executed
set,
master2
's server UUID, and the slave's
gtid_executed
set, into
client-side variables as follows:
$master2_gtid_executed := master2> SELECT @@GLOBAL.gtid_executed; $master2_server_uuid := master2> SELECT @@GLOBAL.server_uuid; $slave_gtid_executed := slave> SELECT @@GLOBAL.gtid_executed;
Then use GTID_INTERSECTION_WITH_UUID
and
GTID_SUBSET
with these variables as input,
as follows:
SELECT GTID_SUBSET(GTID_INTERSECTION_WITH_UUID($master2_gtid_executed, $master2_server_uuid), $slave_gtid_executed);
The server identifier from master2
($master2_server_uuid
) is used with
GTID_INTERSECTION_WITH_UUID
to identify and
return only those GTIDs from master2
's
gtid_executed
set that
originated on master2
, omitting those that
originated on master1
. The resulting GTID set
is then compared with the set of all executed GTIDs on the
slave, using GTID_SUBSET
. If this statement
returns nonzero (true), all the identified GTIDs from
master2
(the first set input) are also in the
slave's gtid_executed
set (the
second set input), meaning that the slave has replicated all the
transactions that originated from master2
.
MySQL multi-source replication enables a replication slave to receive transactions from multiple immediate masters in parallel. In a multi-source replication topology, a slave creates a replication channel for each master that it should receive transactions from. For more information on how replication channels function, see Section 16.2.3, “Replication Channels”.
You might choose to implement multi-source replication to achieve goals like these:
Backing up multiple servers to a single server.
Merging table shards.
Consolidating data from multiple servers to a single server.
Multi-source replication does not implement any conflict detection or resolution when applying transactions, and those tasks are left to the application if required.
Each channel on a multi-source replication slave must replicate from a different master. You cannot set up multiple replication channels from a single slave to a single master. This is because the server IDs of replication slaves must be unique in a replication topology. The master distinguishes slaves only by their server IDs, not by the names of the replication channels, so it cannot recognize different replication channels from the same slave.
A rmulti-source replication slave can also be set up as a
multi-threaded replication slave, by setting the
slave_parallel_workers
system
variable to a value greater than 0. When you do this on a
multi-source replication slave, each channel on the slave has the
specified number of applier threads, plus a coordinator thread to
manage them. You cannot configure the number of applier threads for
individual channels.
This section provides tutorials on how to configure masters and slaves for multi-source replication, how to start, stop and reset multi-source slaves, and how to monitor multi-source replication.
A multi-source replication topology requires at least two masters
and one slave configured. In these tutorials, we will assume you
have two masters master1
and
master2
, and a replication slave
slavehost
. The slave will replicate one
database from each of the masters, db1
from
master1
and db2
from
master2
.
Masters in a multi-source replication topology can be configured to use either GTID-based replication, or binary log position-based replication. See Section 16.1.3.4, “Setting Up Replication Using GTIDs” for how to configure a master using GTID-based replication. See Section 16.1.2.1, “Setting the Replication Master Configuration” for how to configure a master using file position based replication.
Slaves in a multi-source replication topology require
TABLE
repositories for the master info log and
relay log info log, as specified by the
master_info_repository
and
relay_log_info_repository
system
variables. Multi-source replication is not compatible with
FILE
repositories.
To modify an existing replication slave that is using a
FILE
repository for the slave status logs to
use TABLE
repositories, you can convert the
existing replication repositories dynamically by using the
mysql client to issue the following statements
on the slave:
mysql>STOP SLAVE;
mysql>SET GLOBAL master_info_repository = 'TABLE';
mysql>SET GLOBAL relay_log_info_repository = 'TABLE';
Create a suitable user account on all the masters that the slave
can use to connect. You can use the same account on all the
masters, or a different account on each. If you create an account
solely for the purposes of replication, that account needs only
the REPLICATION SLAVE
privilege.
For example, to set up a new user, ted
, that
can connect from the replication slave
slavehost
, use the mysql
client to issue these statements on each of the masters:
mysql>CREATE USER 'ted'@'slavehost' IDENTIFIED BY '
mysql>password
';GRANT REPLICATION SLAVE ON *.* TO 'ted'@'slavehost';
For more details, see Section 16.1.2.2, “Creating a User for Replication”.
If the masters in the multi-source replication topology have existing data, it can save time to provision the slave with the relevant data before starting replication. In a multi-source replication topology, copying the data directory cannot be used to provision the slave with data from all of the masters, and you might also want to replicate only specific databases from each master. The best strategy for provisioning such a slave is therefore to use mysqldump to create an appropriate dump file on each master, then use the mysql client to import the dump file on the slave.
If you are using GTID-based replication, you need to pay attention
to the SET @@GLOBAL.gtid_purged
statement that
mysqldump places in the dump output. This
statement transfers the GTIDs for the transactions executed on the
master to the slave, and the slave requires this information.
However, for any case more complex than provisioning one new,
empty slave from one master, you need to check what effect the
statement will have in the slave's MySQL release, and handle the
statement accordingly. The following guidance summarizes suitable
actions, but for more details, see the
mysqldump documentation.
In MySQL 5.6 and 5.7, the SET
@@GLOBAL.gtid_purged
statement written by
mysqldump replaces the value of
gtid_purged
on the slave. Also in
those releases that value can only be changed when the slave's
record of transactions with GTIDs (the
gtid_executed
set) is empty. In a
multi-source replication topology, you must therefore remove the
SET @@GLOBAL.gtid_purged
statement from the
dump output before replaying the dump files, because you will not
be able to apply a second or subsequent dump file including this
statement. As an alternative to removing the SET
@@GLOBAL.gtid_purged
statement, if you are provisioning
the slave with two partial dumps from the same master, and the
GTID set in the second dump is the same as the first (so no new
transactions have been executed on the master in between the
dumps), you can set mysqldump's
--set-gtid-purged
option to
OFF
when you output the second dump file, to
omit the statement.
For MySQL 5.6 and 5.7, these limitations mean all the dump files
from the masters must be applied in a single operation on a slave
with an empty gtid_executed
set.
You can clear a slave's GTID execution history by issuing
RESET MASTER
on the slave, but if
you have other, wanted transactions with GTIDs on the slave,
choose an alternative method of provisioning from those described
in Section 16.1.3.5, “Using GTIDs for Failover and Scaleout”.
In the following provisioning example, we assume that the
SET @@GLOBAL.gtid_purged
statement needs to be
removed from the files and handled manually. We also assume that
there are no wanted transactions with GTIDs on the slave before
provisioning starts.
To create dump files for a database named
db1
on master1
and a
database named db2
on
master2
, run mysqldump
for master1
as follows:
mysqldump -u<user
> -p<password
> --single-transaction --triggers --routines --set-gtid-purged=ON --databases db1 > dumpM1.sql
Then run mysqldump for
master2
as follows:
mysqldump -u<user
> -p<password
> --single-transaction --triggers --routines --set-gtid-purged=ON --databases db2 > dumpM2.sql
Record the gtid_purged
value
that mysqldump added to each of the dump
files. For example, for dump files created on MySQL 5.6 or
5.7, you can extract the value like this:
cat dumpM1.sql | grep GTID_PURGED | cut -f2 -d'=' | cut -f2 -d$'\''
cat dumpM2.sql | grep GTID_PURGED | cut -f2 -d'=' | cut -f2 -d$'\''
The result in each case should be a GTID set, for example:
master1: 2174B383-5441-11E8-B90A-C80AA9429562:1-1029 master2: 224DA167-0C0C-11E8-8442-00059A3C7B00:1-2695
Remove the line from each dump file that contains the
SET @@GLOBAL.gtid_purged
statement. For
example:
sed '/GTID_PURGED/d' dumpM1.sql > dumpM1_nopurge.sql
sed '/GTID_PURGED/d' dumpM2.sql > dumpM2_nopurge.sql
Use the mysql client to import each edited dump file into the slave. For example:
mysql -u<
user
> -p<password
> < dumpM1_nopurge.sqlmysql -u<
user
> -p<password
> < dumpM2_nopurge.sql
On the slave, issue RESET
MASTER
to clear the GTID execution history
(assuming, as explained above, that all the dump files have
been imported and that there are no wanted transactions with
GTIDs on the slave). Then issue a SET
@@GLOBAL.gtid_purged
statement to set the
gtid_purged
value to the
union of all the GTID sets from all the dump files, as you
recorded in Step 2. For example:
mysql>RESET MASTER;
mysql>SET @@GLOBAL.gtid_purged = "2174B383-5441-11E8-B90A-C80AA9429562:1-1029, 224DA167-0C0C-11E8-8442-00059A3C7B00:1-2695";
If there are, or might be, overlapping transactions between the GTID sets in the dump files, you can use the stored functions described in Section 16.1.3.7, “Stored Function Examples to Manipulate GTIDs” to check this beforehand and to calculate the union of all the GTID sets.
These steps assume you have enabled GTIDs for transactions on the
masters using gtid_mode=ON
,
created a replication user, ensured that the slave is using
TABLE
based replication repositories, and
provisioned the slave with data from the masters if appropriate.
Use the CHANGE MASTER TO
statement
to configure a replication channel for each master on the
replication slave (see Section 16.2.3, “Replication Channels”).
The FOR CHANNEL
clause is used to specify the
channel. For GTID-based replication, GTID auto-positioning is used
to synchronize with the master (see
Section 16.1.3.3, “GTID Auto-Positioning”). The
MASTER_AUTO_POSITION
option is set to specify
the use of auto-positioning.
For example, to add master1
and
master2
as masters to the replication slave,
use the mysql client to issue the
CHANGE MASTER TO
statement twice on
the slave, like this:
mysql>CHANGE MASTER TO MASTER_HOST="master1", MASTER_USER="ted", \ MASTER_PASSWORD="
mysql>password
", MASTER_AUTO_POSITION=1 FOR CHANNEL "master_1";CHANGE MASTER TO MASTER_HOST="master2", MASTER_USER="ted", \ MASTER_PASSWORD="
password
", MASTER_AUTO_POSITION=1 FOR CHANNEL "master_2";
For the full syntax of the CHANGE MASTER
TO
statement and other available options, see
Section 13.4.2.1, “CHANGE MASTER TO Statement”.
To make the replication slave replicate only database
db1
from master1
, and only
database db2
from master2
,
use the mysql client to issue the
CHANGE REPLICATION FILTER
statement
for each channel, like this:
mysql>CHANGE REPLICATION FILTER REPLICATE_WILD_DO_TABLE = ('db1.%') FOR CHANNEL "master_1";
mysql>CHANGE REPLICATION FILTER REPLICATE_WILD_DO_TABLE = ('db2.%') FOR CHANNEL "master_2";
For the full syntax of the CHANGE REPLICATION
FILTER
statement and other available options, see
Section 13.4.2.2, “CHANGE REPLICATION FILTER Statement”.
These steps assume that you have enabled binary logging on the
master using --log-bin
, the slave
is using TABLE
based replication repositories,
and that you have enabled a replication user and noted the current
binary log position. You need to know the current
MASTER_LOG_FILE
and
MASTER_LOG_POSITION
.
Use the CHANGE MASTER TO
statement
to configure a replication channel for each master on the
replication slave (see Section 16.2.3, “Replication Channels”).
The FOR CHANNEL
clause is used to specify the
channel. For example, to add master1
and
master2
as masters to the replication slave,
use the mysql client to issue the
CHANGE MASTER TO
statement twice on
the slave, like this:
mysql>CHANGE MASTER TO MASTER_HOST="master1", MASTER_USER="ted", MASTER_PASSWORD="
mysql>password
", \ MASTER_LOG_FILE='master1-bin.000006', MASTER_LOG_POS=628 FOR CHANNEL "master_1";CHANGE MASTER TO MASTER_HOST="master2", MASTER_USER="ted", MASTER_PASSWORD="
password
", \ MASTER_LOG_FILE='master2-bin.000018', MASTER_LOG_POS=104 FOR CHANNEL "master_2";
For the full syntax of the CHANGE MASTER
TO
statement and other available options, see
Section 13.4.2.1, “CHANGE MASTER TO Statement”.
To make the replication slave replicate only database
db1
from master1
, and only
database db2
from master2
,
use the mysql client to issue the
CHANGE REPLICATION FILTER
statement
for each channel, like this:
mysql>CHANGE REPLICATION FILTER REPLICATE_WILD_DO_TABLE = ('db1.%') FOR CHANNEL "master_1";
mysql>CHANGE REPLICATION FILTER REPLICATE_WILD_DO_TABLE = ('db2.%') FOR CHANNEL "master_2";
For the full syntax of the CHANGE REPLICATION
FILTER
statement and other available options, see
Section 13.4.2.2, “CHANGE REPLICATION FILTER Statement”.
Once you have added channels for all of the replication masters,
issue a START SLAVE
statement to
start replication. When you have enabled multiple channels on a
slave, you can choose to either start all channels, or select a
specific channel to start. For example, to start the two channels
separately, use the mysql client to issue the
following statements:
mysql>START SLAVE FOR CHANNEL "master_1";
mysql>START SLAVE FOR CHANNEL "master_2";
For the full syntax of the START
SLAVE
command and other available options, see
Section 13.4.2.6, “START SLAVE Statement”.
To verify that both channels have started and are operating
correctly, you can issue SHOW SLAVE
STATUS
statements on the slave, for example:
mysql>SHOW SLAVE STATUS FOR CHANNEL "master_1"\G
mysql>SHOW SLAVE STATUS FOR CHANNEL "master_2"\G
The STOP SLAVE
statement can be
used to stop a multi-source replication slave. By default, if you
use the STOP SLAVE
statement on a
multi-source replication slave all channels are stopped.
Optionally, use the FOR CHANNEL
clause to stop only a
specific channel.
channel
To stop all currently configured replication channels:
STOP SLAVE;
To stop only a named channel, use a FOR CHANNEL
clause:
channel
STOP SLAVE FOR CHANNEL "master_1";
For the full syntax of the STOP
SLAVE
command and other available options, see
Section 13.4.2.7, “STOP SLAVE Statement”.
The RESET SLAVE
statement can be
used to reset a multi-source replication slave. By default, if you
use the RESET SLAVE
statement on a
multi-source replication slave all channels are reset. Optionally,
use the FOR CHANNEL
clause to reset only
a specific channel.
channel
To reset all currently configured replication channels:
RESET SLAVE;
To reset only a named channel, use a FOR CHANNEL
clause:
channel
RESET SLAVE FOR CHANNEL "master_1";
For GTID-based replication, note that RESET
SLAVE
has no effect on the slave's GTID execution
history. If you want to clear this, issue
RESET MASTER
on the slave.
RESET SLAVE
makes the slave forget
its replication position, and clears the relay log, but it does
not change any replication connection parameters (such as the
master host) or replication filters. If you want to remove these
for a channel, issue RESET SLAVE ALL
.
For the full syntax of the RESET
SLAVE
command and other available options, see
Section 13.4.2.4, “RESET SLAVE Statement”.
To monitor the status of replication channels the following options exist:
Using the replication Performance Schema tables. The first
column of these tables is Channel_Name
.
This enables you to write complex queries based on
Channel_Name
as a key. See
Section 25.12.11, “Performance Schema Replication Tables”.
Using SHOW SLAVE STATUS FOR CHANNEL
. By default, if
the channel
FOR CHANNEL
clause is not
used, this statement shows the slave status for all channels
with one row per channel. The identifier
channel
Channel_name
is added as a column in the
result set. If a FOR CHANNEL
clause is
provided, the results show the status of only the named
replication channel.
channel
The SHOW VARIABLES
statement does
not work with multiple replication channels. The information
that was available through these variables has been migrated to
the replication performance tables. Using a
SHOW VARIABLES
statement in a
topology with multiple channels shows the status of only the
default channel.
This section explains how to use the replication Performance Schema tables to monitor channels. You can choose to monitor all channels, or a subset of the existing channels.
To monitor the connection status of all channels:
mysql> SELECT * FROM replication_connection_status\G;
*************************** 1. row ***************************
CHANNEL_NAME: master_1
GROUP_NAME:
SOURCE_UUID: 046e41f8-a223-11e4-a975-0811960cc264
THREAD_ID: 24
SERVICE_STATE: ON
COUNT_RECEIVED_HEARTBEATS: 0
LAST_HEARTBEAT_TIMESTAMP: 0000-00-00 00:00:00
RECEIVED_TRANSACTION_SET: 046e41f8-a223-11e4-a975-0811960cc264:4-37
LAST_ERROR_NUMBER: 0
LAST_ERROR_MESSAGE:
LAST_ERROR_TIMESTAMP: 0000-00-00 00:00:00
*************************** 2. row ***************************
CHANNEL_NAME: master_2
GROUP_NAME:
SOURCE_UUID: 7475e474-a223-11e4-a978-0811960cc264
THREAD_ID: 26
SERVICE_STATE: ON
COUNT_RECEIVED_HEARTBEATS: 0
LAST_HEARTBEAT_TIMESTAMP: 0000-00-00 00:00:00
RECEIVED_TRANSACTION_SET: 7475e474-a223-11e4-a978-0811960cc264:4-6
LAST_ERROR_NUMBER: 0
LAST_ERROR_MESSAGE:
LAST_ERROR_TIMESTAMP: 0000-00-00 00:00:00
2 rows in set (0.00 sec)
In the above output there are two channels enabled, and as shown
by the CHANNEL_NAME
field they are called
master_1
and master_2
.
The addition of the CHANNEL_NAME
field
enables you to query the Performance Schema tables for a
specific channel. To monitor the connection status of a named
channel, use a WHERE
CHANNEL_NAME=
clause:
channel
mysql> SELECT * FROM replication_connection_status WHERE CHANNEL_NAME='master_1'\G
*************************** 1. row ***************************
CHANNEL_NAME: master_1
GROUP_NAME:
SOURCE_UUID: 046e41f8-a223-11e4-a975-0811960cc264
THREAD_ID: 24
SERVICE_STATE: ON
COUNT_RECEIVED_HEARTBEATS: 0
LAST_HEARTBEAT_TIMESTAMP: 0000-00-00 00:00:00
RECEIVED_TRANSACTION_SET: 046e41f8-a223-11e4-a975-0811960cc264:4-37
LAST_ERROR_NUMBER: 0
LAST_ERROR_MESSAGE:
LAST_ERROR_TIMESTAMP: 0000-00-00 00:00:00
1 row in set (0.00 sec)
Similarly, the WHERE
CHANNEL_NAME=
clause
can be used to monitor the other replication Performance Schema
tables for a specific channel. For more information, see
Section 25.12.11, “Performance Schema Replication Tables”.
channel
This section describes how to change the mode of replication being used without having to take the server offline.
To be able to safely configure the replication mode of an online server it is important to understand some key concepts of replication. This section explains these concepts and is essential reading before attempting to modify the replication mode of an online server.
The modes of replication available in MySQL rely on different techniques for identifying transactions which are logged. The types of transactions used by replication are as follows:
GTID transactions are identified by a global transaction
identifier (GTID) in the form UUID:NUMBER
.
Every GTID transaction in a log is always preceded by a
Gtid_log_event
. GTID transactions can be
addressed using either the GTID or using the file name and
position.
Anonymous transactions do not have a GTID assigned, and MySQL
ensures that every anonymous transaction in a log is preceded
by an Anonymous_gtid_log_event
. In previous
versions, anonymous transactions were not preceded by any
particular event. Anonymous transactions can only be addressed
using file name and position.
When using GTIDs you can take advantage of auto-positioning and
automatic fail-over, as well as use
WAIT_FOR_EXECUTED_GTID_SET()
,
session_track_gtids
, and monitor
replicated transactions using Performance Schema tables. With
GTIDs enabled you cannot use
sql_slave_skip_counter
, instead
use empty transactions.
Transactions in a relay log that was received from a master
running a previous version of MySQL may not be preceded by any
particular event at all, but after being replayed and logged in
the slave's binary log, they are preceded with an
Anonymous_gtid_log_event
.
The ability to configure the replication mode online means that
the gtid_mode
and
enforce_gtid_consistency
variables are now both dynamic and can be set from a top-level
statement by an account that has privileges sufficient to set
global system variables. See
Section 5.1.8.1, “System Variable Privileges”. In previous
versions, both of these variables could only be configured using
the appropriate option at server start, meaning that changes to
the replication mode required a server restart. In all versions
gtid_mode
could be set to
ON
or OFF
, which
corresponded to whether GTIDs were used to identify transactions
or not. When gtid_mode=ON
it is
not possible to replicate anonymous transactions, and when
gtid_mode=OFF
only anonymous
transactions can be replicated. As of MySQL 5.7.6, the
gtid_mode
variable has two
additional states, OFF_PERMISSIVE
and
ON_PERMISSIVE
. When
gtid_mode=OFF_PERMISSIVE
then
new transactions are anonymous while
permitting replicated transactions to be either GTID or anonymous
transactions. When
gtid_mode=ON_PERMISSIVE
then
new transactions use GTIDs while permitting
replicated transactions to be either GTID or anonymous
transactions. This means it is possible to have a replication
topology that has servers using both anonymous and GTID
transactions. For example a master with
gtid_mode=ON
could be replicating
to a slave with
gtid_mode=ON_PERMISSIVE
. The
valid values for gtid_mode
are as
follows and in this order:
OFF
OFF_PERMISSIVE
ON_PERMISSIVE
ON
It is important to note that the state of
gtid_mode
can only be changed by
one step at a time based on the above order. For example, if
gtid_mode
is currently set to
OFF_PERMISSIVE
, it is possible to change to
OFF
or ON_PERMISSIVE
but not
to ON
. This is to ensure that the process of
changing from anonymous transactions to GTID transactions online
is correctly handled by the server. When you switch between
gtid_mode=ON
and
gtid_mode=OFF
, the GTID state (in
other words the value of
gtid_executed
) is persistent.
This ensures that the GTID set that has been applied by the server
is always retained, regardless of changes between types of
gtid_mode
.
As part of the changes introduced by MySQL 5.7.6, the fields
related to GTIDs have been modified so that they display the
correct information regardless of the currently selected
gtid_mode
. This means that fields
which display GTID sets, such as
gtid_executed
,
gtid_purged
,
RECEIVED_TRANSACTION_SET
in the
replication_connection_status
Performance Schema table, and the GTID related results of
SHOW SLAVE STATUS
, now return the
empty string when there are no GTIDs present. Fields that display
a single GTID, such as CURRENT_TRANSACTION
in
the Performance Schema
replication_applier_status_by_worker
table, now display ANONYMOUS
when GTID
transactions are not being used.
Replication from a master using
gtid_mode=ON
provides the ability
to use auto-positioning, configured using the CHANGE
MASTER TO MASTER_AUTO_POSITION = 1;
statement. The
replication topology being used impacts on whether it is possible
to enable auto-positioning or not, as this feature relies on GTIDs
and is not compatible with anonymous transactions. An error is
generated if auto-positioning is enabled and an anonymous
transaction is encountered. It is strongly recommended to ensure
there are no anonymous transactions remaining in the topology
before enabling auto-positioning, see
Section 16.1.5.2, “Enabling GTID Transactions Online”. The
valid combinations of gtid_mode
and auto-positioning on master and slave are shown in the
following table, where the master's
gtid_mode
is shown on the
horizontal and the slave's
gtid_mode
is on the vertical:
Table 16.1 Valid Combinations of Master and Slave gtid_mode
Master/Slave |
|
|
|
|
---|---|---|---|---|
|
Y |
Y |
N |
N |
|
Y |
Y |
Y |
Y* |
|
Y |
Y |
Y |
Y* |
|
N |
N |
Y |
Y* |
In the above table, the entries are:
The currently selected gtid_mode
also impacts on the gtid_next
variable. The following table shows the behavior of the server for
the different values of gtid_mode
and gtid_next
.
Table 16.2 Valid Combinations of gtid_mode and gtid_next
AUTOMATIC binary log on |
AUTOMATIC binary log off |
ANONYMOUS |
UUID:NUMBER |
|
---|---|---|---|---|
|
ANONYMOUS |
ANONYMOUS |
ANONYMOUS | Error |
|
ANONYMOUS |
ANONYMOUS |
ANONYMOUS |
UUID:NUMBER |
|
New GTID |
ANONYMOUS |
ANONYMOUS |
UUID:NUMBER |
|
New GTID |
ANONYMOUS |
Error |
UUID:NUMBER |
In the above table, the entries are:
ANONYMOUS
: generate an anonymous
transaction.
Error
: generate an error and fail to
execute SET GTID_NEXT
.
UUID:NUMBER
: generate a GTID with the
specified UUID:NUMBER.
New GTID
: generate a GTID with an
automatically generated number.
When the binary log is off and
gtid_next
is set to
AUTOMATIC
, then no GTID is generated. This is
consistent with the behavior of previous versions.
This section describes how to enable GTID transactions, and optionally auto-positioning, on servers that are already online and using anonymous transactions. This procedure does not require taking the server offline and is suited to use in production. However, if you have the possibility to take the servers offline when enabling GTID transactions that process is easier.
Before you start, ensure that the servers meet the following pre-conditions:
All servers in your topology must use MySQL 5.7.6 or later. You cannot enable GTID transactions online on any single server unless all servers which are in the topology are using this version.
All servers have gtid_mode
set to the default value OFF
.
The following procedure can be paused at any time and later resumed where it was, or reversed by jumping to the corresponding step of Section 16.1.5.3, “Disabling GTID Transactions Online”, the online procedure to disable GTIDs. This makes the procedure fault-tolerant because any unrelated issues that may appear in the middle of the procedure can be handled as usual, and then the procedure continued where it was left off.
It is crucial that you complete every step before continuing to the next step.
To enable GTID transactions:
On each server, execute:
SET @@GLOBAL.ENFORCE_GTID_CONSISTENCY = WARN;
Let the server run for a while with your normal workload and monitor the logs. If this step causes any warnings in the log, adjust your application so that it only uses GTID-compatible features and does not generate any warnings.
This is the first important step. You must ensure that no warnings are being generated in the error logs before going to the next step.
On each server, execute:
SET @@GLOBAL.ENFORCE_GTID_CONSISTENCY = ON;
On each server, execute:
SET @@GLOBAL.GTID_MODE = OFF_PERMISSIVE;
It does not matter which server executes this statement first, but it is important that all servers complete this step before any server begins the next step.
On each server, execute:
SET @@GLOBAL.GTID_MODE = ON_PERMISSIVE;
It does not matter which server executes this statement first.
On each server, wait until the status variable
ONGOING_ANONYMOUS_TRANSACTION_COUNT
is
zero. This can be checked using:
SHOW STATUS LIKE 'ONGOING_ANONYMOUS_TRANSACTION_COUNT';
On a replication slave, it is theoretically possible that this shows zero and then nonzero again. This is not a problem, it suffices that it shows zero once.
Wait for all transactions generated up to step 5 to replicate to all servers. You can do this without stopping updates: the only important thing is that all anonymous transactions get replicated.
See Section 16.1.5.4, “Verifying Replication of Anonymous Transactions” for one method of checking that all anonymous transactions have replicated to all servers.
If you use binary logs for anything other than replication, for example point in time backup and restore, wait until you do not need the old binary logs having transactions without GTIDs.
For instance, after step 6 has completed, you can execute
FLUSH LOGS
on the server where
you are taking backups. Then either explicitly take a backup
or wait for the next iteration of any periodic backup routine
you may have set up.
Ideally, wait for the server to purge all binary logs that existed when step 6 was completed. Also wait for any backup taken before step 6 to expire.
This is the second important point. It is vital to understand that binary logs containing anonymous transactions, without GTIDs cannot be used after the next step. After this step, you must be sure that transactions without GTIDs do not exist anywhere in the topology.
On each server, execute:
SET @@GLOBAL.GTID_MODE = ON;
On each server, add gtid_mode=ON
and
enforce_gtid_consistency=ON
to
my.cnf
.
You are now guaranteed that all transactions have a GTID
(except transactions generated in step 5 or earlier, which
have already been processed). To start using the GTID protocol
so that you can later perform automatic fail-over, execute the
following on each slave. Optionally, if you use multi-source
replication, do this for each channel and include the
FOR CHANNEL
clause:
channel
STOP SLAVE [FOR CHANNEL 'channel']; CHANGE MASTER TO MASTER_AUTO_POSITION = 1 [FOR CHANNEL 'channel']; START SLAVE [FOR CHANNEL 'channel'];
This section describes how to disable GTID transactions on servers that are already online. This procedure does not require taking the server offline and is suited to use in production. However, if you have the possibility to take the servers offline when disabling GTIDs mode that process is easier.
The process is similar to enabling GTID transactions while the server is online, but reversing the steps. The only thing that differs is the point at which you wait for logged transactions to replicate.
Before you start, ensure that the servers meet the following pre-conditions:
All servers in your topology must use MySQL 5.7.6 or later. You cannot disable GTID transactions online on any single server unless all servers which are in the topology are using this version.
All servers have gtid_mode
set to ON
.
Execute the following on each slave, and if you using
multi-source replication, do it for each channel and include
the FOR CHANNEL
channel clause:
STOP SLAVE [FOR CHANNEL 'channel']; CHANGE MASTER TO MASTER_AUTO_POSITION = 0, MASTER_LOG_FILE = file, \ MASTER_LOG_POS = position [FOR CHANNEL 'channel']; START SLAVE [FOR CHANNEL 'channel'];
On each server, execute:
SET @@GLOBAL.GTID_MODE = ON_PERMISSIVE;
On each server, execute:
SET @@GLOBAL.GTID_MODE = OFF_PERMISSIVE;
On each server, wait until the variable @@GLOBAL.GTID_OWNED is equal to the empty string. This can be checked using:
SELECT @@GLOBAL.GTID_OWNED;
On a replication slave, it is theoretically possible that this is empty and then nonempty again. This is not a problem, it suffices that it is empty once.
Wait for all transactions that currently exist in any binary log to replicate to all slaves. See Section 16.1.5.4, “Verifying Replication of Anonymous Transactions” for one method of checking that all anonymous transactions have replicated to all servers.
If you use binary logs for anything else than replication, for example to do point in time backup or restore: wait until you do not need the old binary logs having GTID transactions.
For instance, after step 5 has completed, you can execute
FLUSH LOGS
on the server where
you are taking the backup. Then either explicitly take a
backup or wait for the next iteration of any periodic backup
routine you may have set up.
Ideally, wait for the server to purge all binary logs that existed when step 5 was completed. Also wait for any backup taken before step 5 to expire.
This is the one important point during this procedure. It is important to understand that logs containing GTID transactions cannot be used after the next step. Before proceeding you must be sure that GTID transactions do not exist anywhere in the topology.
On each server, execute:
SET @@GLOBAL.GTID_MODE = OFF;
On each server, set
gtid_mode=OFF
in
my.cnf
.
If you want to set
enforce_gtid_consistency=OFF
,
you can do so now. After setting it, you should add
enforce_gtid_consistency=OFF
to your configuration file.
If you want to downgrade to an earlier version of MySQL, you can do so now, using the normal downgrade procedure.
This section explains how to monitor a replication topology and verify that all anonymous transactions have been replicated. This is helpful when changing the replication mode online as you can verify that it is safe to change to GTID transactions.
There are several possible ways to wait for transactions to replicate:
The simplest method, which works regardless of your topology but relies on timing is as follows: if you are sure that the slave never lags more than N seconds, just wait for a bit more than N seconds. Or wait for a day, or whatever time period you consider safe for your deployment.
A safer method in the sense that it does not depend on timing: if you only have a master with one or more slaves, do the following:
On the master, execute:
SHOW MASTER STATUS;
Note down the values in the File
and
Position
column.
On every slave, use the file and position information from the master to execute:
SELECT MASTER_POS_WAIT(file, position);
If you have a master and multiple levels of slaves, or in other words you have slaves of slaves, repeat step 2 on each level, starting from the master, then all the direct slaves, then all the slaves of slaves, and so on.
If you use a circular replication topology where multiple servers may have write clients, perform step 2 for each master-slave connection, until you have completed the full circle. Repeat the whole process so that you do the full circle twice.
For example, suppose you have three servers A, B, and C, replicating in a circle so that A -> B -> C -> A. The procedure is then:
Do step 1 on A and step 2 on B.
Do step 1 on B and step 2 on C.
Do step 1 on C and step 2 on A.
Do step 1 on A and step 2 on B.
Do step 1 on B and step 2 on C.
Do step 1 on C and step 2 on A.
The following sections contain information about mysqld options and server variables that are used in replication and for controlling the binary log. Options and variables for use on replication masters and replication slaves are covered separately, as are options and variables relating to binary logging and global transaction identifiers (GTIDs). A set of quick-reference tables providing basic information about these options and variables is also included.
Of particular importance is the
server_id
system variable.
Property | Value |
---|---|
Command-Line Format | --server-id=# |
System Variable | server_id |
Scope | Global |
Dynamic | Yes |
Type | Integer |
Default Value | 0 |
Minimum Value | 0 |
Maximum Value | 4294967295 |
This variable specifies the server ID. In MySQL 5.7,
server_id
must be specified if
binary logging is enabled, otherwise the server is not allowed to
start.
server_id
is set to 0 by default.
On a replication master and each replication slave, you
must specify
server_id
to establish a unique
replication ID in the range from 1 to 232
− 1. “Unique”, means that each ID must be
different from every other ID in use by any other replication master
or slave. For additional information, see
Section 16.1.6.2, “Replication Master Options and Variables”, and
Section 16.1.6.3, “Replication Slave Options and Variables”.
If the server ID is set to 0, binary logging takes place, but a master with a server ID of 0 refuses any connections from slaves, and a slave with a server ID of 0 refuses to connect to a master. Note that although you can change the server ID dynamically to a nonzero value, doing so does not enable replication to start immediately. You must change the server ID and then restart the server to initialize the replication slave.
For more information, see Section 16.1.2.5.1, “Setting the Replication Slave Configuration”.
In MySQL 5.7, the server generates a true UUID in
addition to the server_id
value
supplied by the user. This is available as the global, read-only
server_uuid
system variable.
The presence of the server_uuid
system variable in MySQL 5.7 does not change the
requirement for setting a unique
server_id
value for each MySQL
server as part of preparing and running MySQL replication, as
described earlier in this section.
Property | Value |
---|---|
System Variable | server_uuid |
Scope | Global |
Dynamic | No |
Type | String |
When starting, the MySQL server automatically obtains a UUID as follows:
The auto.cnf
file has a format similar to that
used for my.cnf
or my.ini
files. In MySQL 5.7, auto.cnf
has
only a single [auto]
section containing a single
server_uuid
setting and value; the
file's contents appear similar to what is shown here:
[auto] server_uuid=8a94f357-aab4-11df-86ab-c80aa9429562
The auto.cnf
file is automatically generated;
do not attempt to write or modify this file.
When using MySQL replication, masters and slaves know each
other's UUIDs. The value of a slave's UUID can be seen in
the output of SHOW SLAVE HOSTS
. Once
START SLAVE
has been executed, the
value of the master's UUID is available on the slave in the
output of SHOW SLAVE STATUS
.
Issuing a STOP SLAVE
or
RESET SLAVE
statement does
not reset the master's UUID as used on
the slave.
A server's server_uuid
is also used in GTIDs
for transactions originating on that server. For more information,
see Section 16.1.3, “Replication with Global Transaction Identifiers”.
When starting, the slave I/O thread generates an error and aborts if
its master's UUID is equal to its own unless the
--replicate-same-server-id
option has
been set. In addition, the slave I/O thread generates a warning if
either of the following is true:
No master having the expected
server_uuid
exists.
The master's server_uuid
has changed, although no CHANGE MASTER
TO
statement has ever been executed.
The following two sections provide basic information about the MySQL command-line options and system variables applicable to replication and the binary log.
The command-line options and system variables in the following list relate to replication masters and replication slaves. Section 16.1.6.2, “Replication Master Options and Variables”, provides more detailed information about options and variables relating to replication master servers. For more information about options and variables relating to replication slaves, see Section 16.1.6.3, “Replication Slave Options and Variables”.
abort-slave-event-count
:
Option used by mysql-test for debugging and testing of
replication.
auto_increment_increment
:
AUTO_INCREMENT columns are incremented by this value.
auto_increment_offset
:
Offset added to AUTO_INCREMENT columns.
binlog_gtid_simple_recovery
:
Controls how binary logs are iterated during GTID recovery.
Com_change_master
:
Count of CHANGE MASTER TO statements.
Com_show_master_status
:
Count of SHOW MASTER STATUS statements.
Com_show_slave_hosts
:
Count of SHOW SLAVE HOSTS statements.
Com_show_slave_status
:
Count of SHOW SLAVE STATUS statements.
Com_slave_start
:
Count of START SLAVE statements.
Com_slave_stop
:
Count of STOP SLAVE statements.
disconnect-slave-event-count
:
Option used by mysql-test for debugging and testing of
replication.
enforce_gtid_consistency
:
Prevents execution of statements that cannot be logged in a
transactionally safe manner.
expire_logs_days
:
Purge binary logs after this many days.
gtid_executed
:
Global: All GTIDs in the binary log (global) or current
transaction (session). Read-only.
gtid_executed_compression_period
:
Compress gtid_executed table each time this many transactions
have occurred. 0 means never compress this table. Applies only
when binary logging is disabled.
gtid_mode
:
Controls whether GTID based logging is enabled and what type of
transactions the logs can contain.
gtid_next
:
Specifies the GTID for the next statement to execute; see
documentation for details.
gtid_owned
:
The set of GTIDs owned by this client (session), or by all
clients, together with the thread ID of the owner (global).
Read-only.
gtid_purged
:
The set of all GTIDs that have been purged from the binary log.
init_slave
:
Statements that are executed when a slave connects to a master.
log_bin_trust_function_creators
:
If equal to 0 (the default), then when --log-bin is used,
creation of a stored function is allowed only to users having
the SUPER privilege and only if the function created does not
break binary logging.
log_builtin_as_identified_by_password
:
Whether to log CREATE/ALTER USER, GRANT in backward-compatible
fashion.
log_statements_unsafe_for_binlog
:
Disables error 1592 warnings being written to the error log.
master-info-file
:
The location and name of the file that remembers the master and
where the I/O replication thread is in the master's binary logs.
master-retry-count
:
Number of tries the slave makes to connect to the master before
giving up.
master_info_repository
:
Whether to write master status information and replication I/O
thread location in the master's binary logs to a file or table.
max_relay_log_size
:
If nonzero, relay log is rotated automatically when its size
exceeds this value. If zero, size at which rotation occurs is
determined by the value of max_binlog_size.
relay_log
:
The location and base name to use for relay logs.
relay_log_basename
:
Complete path to relay log, including file name.
relay_log_index
:
The location and name to use for the file that keeps a list of
the last relay logs.
relay_log_info_file
:
File in which the slave records information about the relay
logs.
relay_log_info_repository
:
Whether to write the replication SQL thread's location in the
relay logs to a file or a table.
relay_log_purge
:
Determines whether relay logs are purged.
relay_log_recovery
:
Whether automatic recovery of relay log files from master at
startup is enabled; must be enabled for a crash-safe slave.
relay_log_space_limit
:
Maximum space to use for all relay logs.
replicate-do-db
:
Tells the slave SQL thread to restrict replication to the
specified database.
replicate-do-table
:
Tells the slave SQL thread to restrict replication to the
specified table.
replicate-ignore-db
:
Tells the slave SQL thread not to replicate to the specified
database.
replicate-ignore-table
:
Tells the slave SQL thread not to replicate to the specified
table.
replicate-rewrite-db
:
Updates to a database with a different name than the original.
replicate-same-server-id
:
In replication, if enabled, do not skip events having our server
id.
replicate-wild-do-table
:
Tells the slave thread to restrict replication to the tables
that match the specified wildcard pattern.
replicate-wild-ignore-table
:
Tells the slave thread not to replicate to the tables that match
the given wildcard pattern.
report_host
:
Host name or IP of the slave to be reported to the master during
slave registration.
report_password
:
An arbitrary password that the slave server should report to the
master. Not the same as the password for the MySQL replication
user account.
report_port
:
Port for connecting to slave reported to the master during slave
registration.
report_user
:
An arbitrary user name that a slave server should report to the
master. Not the same as the name used with the MySQL replication
user account.
Rpl_semi_sync_master_clients
:
Number of semisynchronous slaves.
rpl_semi_sync_master_enabled
:
Whether semisynchronous replication is enabled on the master.
Rpl_semi_sync_master_net_avg_wait_time
:
The average time the master waited for a slave reply.
Rpl_semi_sync_master_net_wait_time
:
The total time the master waited for slave replies.
Rpl_semi_sync_master_net_waits
:
The total number of times the master waited for slave replies.
Rpl_semi_sync_master_no_times
:
Number of times the master turned off semisynchronous
replication.
Rpl_semi_sync_master_no_tx
:
Number of commits not acknowledged successfully.
Rpl_semi_sync_master_status
:
Whether semisynchronous replication is operational on the
master.
Rpl_semi_sync_master_timefunc_failures
:
Number of times the master failed when calling time functions.
rpl_semi_sync_master_timeout
:
Number of milliseconds to wait for slave acknowledgment.
rpl_semi_sync_master_trace_level
:
The semisynchronous replication debug trace level on the master.
Rpl_semi_sync_master_tx_avg_wait_time
:
The average time the master waited for each transaction.
Rpl_semi_sync_master_tx_wait_time
:
The total time the master waited for transactions.
Rpl_semi_sync_master_tx_waits
:
The total number of times the master waited for transactions.
rpl_semi_sync_master_wait_for_slave_count
:
How many slave acknowledgments the master must receive per
transaction before proceeding.
rpl_semi_sync_master_wait_no_slave
:
Whether master waits for timeout even with no slaves.
rpl_semi_sync_master_wait_point
:
The wait point for slave transaction receipt acknowledgment.
Rpl_semi_sync_master_wait_pos_backtraverse
:
The total number of times the master waited for an event with
binary coordinates lower than events waited for previously.
Rpl_semi_sync_master_wait_sessions
:
Number of sessions currently waiting for slave replies.
Rpl_semi_sync_master_yes_tx
:
Number of commits acknowledged successfully.
rpl_semi_sync_slave_enabled
:
Whether semisynchronous replication is enabled on slave.
Rpl_semi_sync_slave_status
:
Whether semisynchronous replication is operational on slave.
rpl_semi_sync_slave_trace_level
:
The semisynchronous replication debug trace level on the slave.
rpl_stop_slave_timeout
:
Set the number of seconds that STOP SLAVE waits before timing
out.
server_uuid
:
The server's globally unique ID, automatically (re)generated at
server start.
show-slave-auth-info
:
Show user name and password in SHOW SLAVE HOSTS on this master.
skip-slave-start
:
If set, slave is not autostarted.
slave_load_tmpdir
:
The location where the slave should put its temporary files when
replicating LOAD DATA statements.
slave_net_timeout
:
Number of seconds to wait for more data from a master/slave
connection before aborting the read.
slave-skip-errors
:
Tells the slave thread to continue replication when a query
returns an error from the provided list.
slave_checkpoint_group
:
Maximum number of transactions processed by a multithreaded
slave before a checkpoint operation is called to update progress
status. Not supported by NDB Cluster.
slave_checkpoint_period
:
Update progress status of multithreaded slave and flush relay
log info to disk after this number of milliseconds. Not
supported by NDB Cluster.
slave_compressed_protocol
:
Use compression of master/slave protocol.
slave_exec_mode
:
Allows for switching the slave thread between IDEMPOTENT mode
(key and some other errors suppressed) and STRICT mode; STRICT
mode is the default, except for NDB Cluster, where IDEMPOTENT is
always used.
Slave_heartbeat_period
:
The slave's replication heartbeat interval, in seconds.
Slave_last_heartbeat
:
Shows when the latest heartbeat signal was received, in
TIMESTAMP format.
slave_max_allowed_packet
:
Maximum size, in bytes, of a packet that can be sent from a
replication master to a slave; overrides max_allowed_packet.
Slave_open_temp_tables
:
Number of temporary tables that the slave SQL thread currently
has open.
slave_parallel_type
:
Tells the slave to use timestamp information (LOGICAL_CLOCK) or
database partioning (DATABASE) to parallelize transactions.
slave_parallel_workers
:
Number of applier threads for executing replication transactions
in parallel. A value of 0 disables slave multithreading. Not
supported by MySQL Cluster.
slave_pending_jobs_size_max
:
Maximum size of slave worker queues holding events not yet
applied.
slave_preserve_commit_order
:
Ensures that all commits by slave workers happen in the same
order as on the master to maintain consistency when using
parallel applier threads.
Slave_received_heartbeats
:
Number of heartbeats received by a replication slave since
previous reset.
Slave_retried_transactions
:
The total number of times since startup that the replication
slave SQL thread has retried transactions.
slave_rows_search_algorithms
:
Determines search algorithms used for slave update batching. Any
2 or 3 from the list INDEX_SEARCH, TABLE_SCAN, HASH_SCAN.
Slave_rows_last_search_algorithm_used
:
Search algorithm most recently used by this slave to locate rows
for row-based replication (index, table, or hash scan).
Slave_running
:
The state of this server as a replication slave (slave I/O
thread status).
slave_transaction_retries
:
Number of times the slave SQL thread will retry a transaction in
case it failed with a deadlock or elapsed lock wait timeout,
before giving up and stopping.
slave_type_conversions
:
Controls type conversion mode on replication slave. Value is a
list of zero or more elements from the list: ALL_LOSSY,
ALL_NON_LOSSY. Set to an empty string to disallow type
conversions between master and slave.
sql_log_bin
:
Controls binary logging for the current session.
sql_slave_skip_counter
:
Number of events from the master that a slave server should
skip. Not compatible with GTID replication.
sync_master_info
:
Synchronize master.info to disk after every #th event.
sync_relay_log
:
Synchronize relay log to disk after every #th event.
sync_relay_log_info
:
Synchronize relay.info file to disk after every #th event.
transaction_write_set_extraction
:
Defines the algorithm used to hash the writes extracted during a
transaction.
For a listing of all command-line options, system and status variables used with mysqld, see Section 5.1.3, “Server Option, System Variable, and Status Variable Reference”.
The command-line options and system variables in the following list relate to the binary log. Section 16.1.6.4, “Binary Logging Options and Variables”, provides more detailed information about options and variables relating to binary logging. For additional general information about the binary log, see Section 5.4.4, “The Binary Log”.
binlog-checksum
:
Enable/disable binary log checksums.
binlog-do-db
:
Limits binary logging to specific databases.
binlog_format
:
Specifies the format of the binary log.
binlog-ignore-db
:
Tells the master that updates to the given database should not
be logged to the binary log.
binlog-row-event-max-size
:
Binary log max event size.
Binlog_cache_disk_use
:
Number of transactions that used a temporary file instead of the
binary log cache.
binlog_cache_size
:
Size of the cache to hold the SQL statements for the binary log
during a transaction.
Binlog_cache_use
:
Number of transactions that used the temporary binary log cache.
binlog_checksum
:
Enable/disable binary log checksums.
binlog_direct_non_transactional_updates
:
Causes updates using statement format to nontransactional
engines to be written directly to binary log. See documentation
before using.
binlog_error_action
:
Controls what happens when the server cannot write to the binary
log.
binlog_group_commit_sync_delay
:
Sets the number of microseconds to wait before synchronizing
transactions to disk.
binlog_group_commit_sync_no_delay_count
:
Sets the maximum number of transactions to wait for before
aborting the current delay specified by
binlog_group_commit_sync_delay.
binlog_max_flush_queue_time
:
How long to read transactions before flushing to binary log.
binlog_order_commits
:
Whether to commit in same order as writes to binary log.
binlog_row_image
:
Use full or minimal images when logging row changes.
binlog_rows_query_log_events
:
When enabled, enables logging of rows query log events when
using row-based logging. Disabled by default. Do not enable when
producing logs for pre-5.6 slaves/readers.
Binlog_stmt_cache_disk_use
:
Number of nontransactional statements that used a temporary file
instead of the binary log statement cache.
binlog_stmt_cache_size
:
Size of the cache to hold nontransactional statements for the
binary log during a transaction.
Binlog_stmt_cache_use
:
Number of statements that used the temporary binary log
statement cache.
binlog_transaction_dependency_tracking
:
Source of dependency information (commit timestamps or
transaction write sets) from which to assess which transactions
can be executed in parallel by slave's multithreaded applier.
binlog_transaction_dependency_history_size
:
Number of row hashes kept for looking up transaction that last
updated some row.
Com_show_binlog_events
:
Count of SHOW BINLOG EVENTS statements.
Com_show_binlogs
:
Count of SHOW BINLOGS statements.
log-bin
:
Specifies the base name for binary log files.
log-bin-index
:
Specifies the name for the binary log index file.
log_bin
:
Whether the binary log is enabled.
log_bin_basename
:
Path and base name for binary log files.
log_bin_use_v1_row_events
:
Whether server is using version 1 binary log row events.
log_slave_updates
:
Whether the slave should log the updates performed by its SQL
thread to its own binary log.
master_verify_checksum
:
Cause master to examine checksums when reading from the binary
log.
max-binlog-dump-events
:
Option used by mysql-test for debugging and testing of
replication.
max_binlog_cache_size
:
Can be used to restrict the total size used to cache a
multi-statement transaction.
max_binlog_size
:
Binary log will be rotated automatically when size exceeds this
value.
max_binlog_stmt_cache_size
:
Can be used to restrict the total size used to cache all
nontransactional statements during a transaction.
slave-sql-verify-checksum
:
Cause slave to examine checksums when reading from the relay
log.
slave_sql_verify_checksum
:
Cause slave to examine checksums when reading from relay log.
sporadic-binlog-dump-fail
:
Option used by mysql-test for debugging and testing of
replication.
sync_binlog
:
Synchronously flush binary log to disk after every #th event.
For a listing of all command-line options, system and status variables used with mysqld, see Section 5.1.3, “Server Option, System Variable, and Status Variable Reference”.
This section describes the server options and system variables
that you can use on replication master servers. You can specify
the options either on the
command line or in an
option file. You can specify
system variable values using
SET
.
On the master and each slave, you must set the
server_id
system variable to
establish a unique replication ID. For each server, you should
pick a unique positive integer in the range from 1 to
232 − 1, and each ID must be
different from every other ID in use by any other replication
master or slave. Example: server-id=3
.
For options used on the master for controlling binary logging, see Section 16.1.6.4, “Binary Logging Options and Variables”.
The following list describes startup options for controlling replication master servers. Replication-related system variables are discussed later in this section.
Property | Value |
---|---|
Command-Line Format | --show-slave-auth-info[={OFF|ON}] |
Type | Boolean |
Default Value | OFF |
Display slave user names and passwords in the output of
SHOW SLAVE HOSTS
on the
master server for slaves started with the
--report-user
and
--report-password
options.
The following system variables are used to control replication masters:
Property | Value |
---|---|
Command-Line Format | --auto-increment-increment=# |
System Variable | auto_increment_increment |
Scope | Global, Session |
Dynamic | Yes |
Type | Integer |
Default Value | 1 |
Minimum Value | 1 |
Maximum Value | 65535 |
auto_increment_increment
and auto_increment_offset
are intended for use with master-to-master replication, and
can be used to control the operation of
AUTO_INCREMENT
columns. Both variables
have global and session values, and each can assume an
integer value between 1 and 65,535 inclusive. Setting the
value of either of these two variables to 0 causes its value
to be set to 1 instead. Attempting to set the value of
either of these two variables to an integer greater than
65,535 or less than 0 causes its value to be set to 65,535
instead. Attempting to set the value of
auto_increment_increment
or
auto_increment_offset
to a
noninteger value produces an error, and the actual value of
the variable remains unchanged.
auto_increment_increment
is also supported for use with
NDB
tables.
When Group Replication is started on a server, the value of
auto_increment_increment
is
changed to the value of
group_replication_auto_increment_increment
,
which defaults to 7, and the value of
auto_increment_offset
is
changed to the server ID. The changes are reverted when
Group Replication is stopped. These changes are only made
and reverted if
auto_increment_increment
and auto_increment_offset
each have their default value of 1. If their values have
already been modified from the default, Group Replication
does not alter them.
auto_increment_increment
and auto_increment_offset
affect AUTO_INCREMENT
column behavior as
follows:
auto_increment_increment
controls the interval between successive column values.
For example:
mysql>SHOW VARIABLES LIKE 'auto_inc%';
+--------------------------+-------+ | Variable_name | Value | +--------------------------+-------+ | auto_increment_increment | 1 | | auto_increment_offset | 1 | +--------------------------+-------+ 2 rows in set (0.00 sec) mysql>CREATE TABLE autoinc1
->(col INT NOT NULL AUTO_INCREMENT PRIMARY KEY);
Query OK, 0 rows affected (0.04 sec) mysql>SET @@auto_increment_increment=10;
Query OK, 0 rows affected (0.00 sec) mysql>SHOW VARIABLES LIKE 'auto_inc%';
+--------------------------+-------+ | Variable_name | Value | +--------------------------+-------+ | auto_increment_increment | 10 | | auto_increment_offset | 1 | +--------------------------+-------+ 2 rows in set (0.01 sec) mysql>INSERT INTO autoinc1 VALUES (NULL), (NULL), (NULL), (NULL);
Query OK, 4 rows affected (0.00 sec) Records: 4 Duplicates: 0 Warnings: 0 mysql>SELECT col FROM autoinc1;
+-----+ | col | +-----+ | 1 | | 11 | | 21 | | 31 | +-----+ 4 rows in set (0.00 sec)
auto_increment_offset
determines the starting point for the
AUTO_INCREMENT
column value. Consider
the following, assuming that these statements are
executed during the same session as the example given in
the description for
auto_increment_increment
:
mysql>SET @@auto_increment_offset=5;
Query OK, 0 rows affected (0.00 sec) mysql>SHOW VARIABLES LIKE 'auto_inc%';
+--------------------------+-------+ | Variable_name | Value | +--------------------------+-------+ | auto_increment_increment | 10 | | auto_increment_offset | 5 | +--------------------------+-------+ 2 rows in set (0.00 sec) mysql>CREATE TABLE autoinc2
->(col INT NOT NULL AUTO_INCREMENT PRIMARY KEY);
Query OK, 0 rows affected (0.06 sec) mysql>INSERT INTO autoinc2 VALUES (NULL), (NULL), (NULL), (NULL);
Query OK, 4 rows affected (0.00 sec) Records: 4 Duplicates: 0 Warnings: 0 mysql>SELECT col FROM autoinc2;
+-----+ | col | +-----+ | 5 | | 15 | | 25 | | 35 | +-----+ 4 rows in set (0.02 sec)
When the value of
auto_increment_offset
is greater than that of
auto_increment_increment
,
the value of
auto_increment_offset
is ignored.
If either of these variables is changed, and then new rows
inserted into a table containing an
AUTO_INCREMENT
column, the results may
seem counterintuitive because the series of
AUTO_INCREMENT
values is calculated
without regard to any values already present in the column,
and the next value inserted is the least value in the series
that is greater than the maximum existing value in the
AUTO_INCREMENT
column. The series is
calculated like this:
auto_increment_offset
+
N
×
auto_increment_increment
where N
is a positive integer
value in the series [1, 2, 3, ...]. For example:
mysql>SHOW VARIABLES LIKE 'auto_inc%';
+--------------------------+-------+ | Variable_name | Value | +--------------------------+-------+ | auto_increment_increment | 10 | | auto_increment_offset | 5 | +--------------------------+-------+ 2 rows in set (0.00 sec) mysql>SELECT col FROM autoinc1;
+-----+ | col | +-----+ | 1 | | 11 | | 21 | | 31 | +-----+ 4 rows in set (0.00 sec) mysql>INSERT INTO autoinc1 VALUES (NULL), (NULL), (NULL), (NULL);
Query OK, 4 rows affected (0.00 sec) Records: 4 Duplicates: 0 Warnings: 0 mysql>SELECT col FROM autoinc1;
+-----+ | col | +-----+ | 1 | | 11 | | 21 | | 31 | | 35 | | 45 | | 55 | | 65 | +-----+ 8 rows in set (0.00 sec)
The values shown for
auto_increment_increment
and auto_increment_offset
generate the series 5 + N
×
10, that is, [5, 15, 25, 35, 45, ...]. The highest value
present in the col
column prior to the
INSERT
is 31, and the next
available value in the AUTO_INCREMENT
series is 35, so the inserted values for
col
begin at that point and the results
are as shown for the SELECT
query.
It is not possible to restrict the effects of these two
variables to a single table; these variables control the
behavior of all AUTO_INCREMENT
columns in
all tables on the MySQL server. If the
global value of either variable is set, its effects persist
until the global value is changed or overridden by setting
the session value, or until mysqld is
restarted. If the local value is set, the new value affects
AUTO_INCREMENT
columns for all tables
into which new rows are inserted by the current user for the
duration of the session, unless the values are changed
during that session.
The default value of
auto_increment_increment
is
1. See
Section 16.4.1.1, “Replication and AUTO_INCREMENT”.
Property | Value |
---|---|
Command-Line Format | --auto-increment-offset=# |
System Variable | auto_increment_offset |
Scope | Global, Session |
Dynamic | Yes |
Type | Integer |
Default Value | 1 |
Minimum Value | 1 |
Maximum Value | 65535 |
This variable has a default value of 1. If it is left with
its default value, and Group Replication is started on the
server, it is changed to the server ID. For more
information, see the description for
auto_increment_increment
.
auto_increment_offset
is also supported
for use with NDB
tables.
Property | Value |
---|---|
Command-Line Format | --rpl-semi-sync-master-enabled[={OFF|ON}] |
System Variable | rpl_semi_sync_master_enabled |
Scope | Global |
Dynamic | Yes |
Type | Boolean |
Default Value | OFF |
Controls whether semisynchronous replication is enabled on
the master. To enable or disable the plugin, set this
variable to ON
or OFF
(or 1 or 0), respectively. The default is
OFF
.
This variable is available only if the master-side semisynchronous replication plugin is installed.
Property | Value |
---|---|
Command-Line Format | --rpl-semi-sync-master-timeout=# |
System Variable | rpl_semi_sync_master_timeout |
Scope | Global |
Dynamic | Yes |
Type | Integer |
Default Value | 10000 |
A value in milliseconds that controls how long the master waits on a commit for acknowledgment from a slave before timing out and reverting to asynchronous replication. The default value is 10000 (10 seconds).
This variable is available only if the master-side semisynchronous replication plugin is installed.
rpl_semi_sync_master_trace_level
Property | Value |
---|---|
Command-Line Format | --rpl-semi-sync-master-trace-level=# |
System Variable | rpl_semi_sync_master_trace_level |
Scope | Global |
Dynamic | Yes |
Type | Integer |
Default Value | 32 |
The semisynchronous replication debug trace level on the master. Four levels are defined:
1 = general level (for example, time function failures)
16 = detail level (more verbose information)
32 = net wait level (more information about network waits)
64 = function level (information about function entry and exit)
This variable is available only if the master-side semisynchronous replication plugin is installed.
rpl_semi_sync_master_wait_for_slave_count
Property | Value |
---|---|
Command-Line Format | --rpl-semi-sync-master-wait-for-slave-count=# |
System Variable | rpl_semi_sync_master_wait_for_slave_count |
Scope | Global |
Dynamic | Yes |
Type | Integer |
Default Value | 1 |
Minimum Value | 1 |
Maximum Value | 65535 |
The number of slave acknowledgments the master must receive
per transaction before proceeding. By default
rpl_semi_sync_master_wait_for_slave_count
is 1
, meaning that semisynchronous
replication proceeds after receiving a single slave
acknowledgment. Performance is best for small values of this
variable.
For example, if
rpl_semi_sync_master_wait_for_slave_count
is 2
, then 2 slaves must acknowledge
receipt of the transaction before the timeout period
configured by
rpl_semi_sync_master_timeout
for semisynchronous replication to proceed. If less slaves
acknowledge receipt of the transaction during the timeout
period, the master reverts to normal replication.
This behavior also depends on
rpl_semi_sync_master_wait_no_slave
This variable is available only if the master-side semisynchronous replication plugin is installed.
rpl_semi_sync_master_wait_no_slave
Property | Value |
---|---|
Command-Line Format | --rpl-semi-sync-master-wait-no-slave[={OFF|ON}] |
System Variable | rpl_semi_sync_master_wait_no_slave |
Scope | Global |
Dynamic | Yes |
Type | Boolean |
Default Value | ON |
Controls whether the master waits for the timeout period
configured by
rpl_semi_sync_master_timeout
to expire, even if the slave count drops to less than the
number of slaves configured by
rpl_semi_sync_master_wait_for_slave_count
during the timeout period.
When the value of
rpl_semi_sync_master_wait_no_slave
is
ON
(the default), it is permissible for
the slave count to drop to less than
rpl_semi_sync_master_wait_for_slave_count
during the timeout period. As long as enough slaves
acknowledge the transaction before the timeout period
expires, semisynchronous replication continues.
When the value of
rpl_semi_sync_master_wait_no_slave
is
OFF
, if the slave count drops to less
than the number configured in
rpl_semi_sync_master_wait_for_slave_count
at any time during the timeout period configured by
rpl_semi_sync_master_timeout
,
the master reverts to normal replication.
This variable is available only if the master-side semisynchronous replication plugin is installed.
rpl_semi_sync_master_wait_point
Property | Value |
---|---|
Command-Line Format | --rpl-semi-sync-master-wait-point=value |
System Variable | rpl_semi_sync_master_wait_point |
Scope | Global |
Dynamic | Yes |
Type | Enumeration |
Default Value | AFTER_SYNC |
Valid Values |
|
This variable controls the point at which a semisynchronous replication master waits for slave acknowledgment of transaction receipt before returning a status to the client that committed the transaction. These values are permitted:
AFTER_SYNC
(the default): The master
writes each transaction to its binary log and the slave,
and syncs the binary log to disk. The master waits for
slave acknowledgment of transaction receipt after the
sync. Upon receiving acknowledgment, the master commits
the transaction to the storage engine and returns a
result to the client, which then can proceed.
AFTER_COMMIT
: The master writes each
transaction to its binary log and the slave, syncs the
binary log, and commits the transaction to the storage
engine. The master waits for slave acknowledgment of
transaction receipt after the commit. Upon receiving
acknowledgment, the master returns a result to the
client, which then can proceed.
The replication characteristics of these settings differ as follows:
With AFTER_SYNC
, all clients see the
committed transaction at the same time: After it has
been acknowledged by the slave and committed to the
storage engine on the master. Thus, all clients see the
same data on the master.
In the event of master failure, all transactions committed on the master have been replicated to the slave (saved to its relay log). A crash of the master and failover to the slave is lossless because the slave is up to date. Note, however, that the master cannot be restarted in this scenario and must be discarded, because its binary log might contain uncommitted transactions that would cause a conflict with the slave when externalized after binary log recovery.
With AFTER_COMMIT
, the client issuing
the transaction gets a return status only after the
server commits to the storage engine and receives slave
acknowledgment. After the commit and before slave
acknowledgment, other clients can see the committed
transaction before the committing client.
If something goes wrong such that the slave does not process the transaction, then in the event of a master crash and failover to the slave, it is possible that such clients will see a loss of data relative to what they saw on the master.
This variable is available only if the master-side semisynchronous replication plugin is installed.
rpl_semi_sync_master_wait_point
was added in MySQL 5.7.2. For older versions,
semisynchronous master behavior is equivalent to a setting
of AFTER_COMMIT
.
This change introduces a version compatibility constraint because it increments the semisynchronous interface version: Servers for MySQL 5.7.2 and up do not work with semisynchronous replication plugins from older versions, nor do servers from older versions work with semisynchronous replication plugins for MySQL 5.7.2 and up.
This section explains the server options and system variables that apply to slave replication servers and contains the following:
Specify the options either on the
command line or in an
option file. Many of the
options can be set while the server is running by using the
CHANGE MASTER TO
statement. Specify
system variable values using
SET
.
Server ID.
On the master and each slave, you must set the
server_id
system variable to
establish a unique replication ID in the range from 1 to
232 − 1. “Unique”
means that each ID must be different from every other ID in use
by any other replication master or slave. Example
my.cnf
file:
[mysqld] server-id=3
This section explains startup options for controlling
replication slave servers. Many of these options can be set
while the server is running by using the
CHANGE MASTER TO
statement.
Others, such as the --replicate-*
options, can
be set only when the slave server starts. Replication-related
system variables are discussed later in this section.
Property | Value |
---|---|
Command-Line Format | --log-warnings[=#] |
Deprecated | Yes |
System Variable | log_warnings |
Scope | Global |
Dynamic | Yes |
Type | Integer |
Default Value | 2 |
Minimum Value | 0 |
Maximum Value (64-bit platforms) | 18446744073709551615 |
Maximum Value (32-bit platforms) | 4294967295 |
The log_error_verbosity
system variable is preferred over, and should be used
instead of, the
--log-warnings
option or
log_warnings
system
variable. For more information, see the descriptions of
log_error_verbosity
and
log_warnings
. The
--log-warnings
command-line
option and log_warnings
system variable are deprecated and will be removed in a
future MySQL release.
Causes the server to record more messages to the error log about what it is doing. With respect to replication, the server generates warnings that it succeeded in reconnecting after a network or connection failure, and provides information about how each slave thread started. This variable is set to 2 by default. To disable it, set it to 0. The server logs messages about statements that are unsafe for statement-based logging if the value is greater than 0. Aborted connections and access-denied errors for new connection attempts are logged if the value is greater than 1. See Section B.4.2.10, “Communication Errors and Aborted Connections”.
The effects of this option are not limited to replication. It affects diagnostic messages across a spectrum of server activities.
Property | Value |
---|---|
Command-Line Format | --master-info-file=file_name |
Type | File name |
Default Value | master.info |
The name to use for the file in which the slave records
information about the master. The default name is
master.info
in the data directory. For
information about the format of this file, see
Section 16.2.4.2, “Slave Status Logs”.
Property | Value |
---|---|
Command-Line Format | --master-retry-count=# |
Deprecated | Yes |
Type | Integer |
Default Value | 86400 |
Minimum Value | 0 |
Maximum Value (64-bit platforms) | 18446744073709551615 |
Maximum Value (32-bit platforms) | 4294967295 |
The number of times that the slave tries to reconnect to the
master before giving up. The default value is 86400 times. A
value of 0 means “infinite”, and the slave
attempts to connect forever. Reconnection attempts are
triggered when the slave reaches its connection timeout
(specified by the
slave_net_timeout
system
variable) without receiving data or a heartbeat signal from
the master. Reconnection is attempted at intervals set by
the MASTER_CONNECT_RETRY
option of the
CHANGE MASTER TO
statement
(which defaults to every 60 seconds).
This option is deprecated and will be removed in a future
MySQL release. Use the MASTER_RETRY_COUNT
option of the CHANGE MASTER
TO
statement instead.
Property | Value |
---|---|
Command-Line Format | --max-relay-log-size=# |
System Variable | max_relay_log_size |
Scope | Global |
Dynamic | Yes |
Type | Integer |
Default Value | 0 |
Minimum Value | 0 |
Maximum Value | 1073741824 |
The size at which the server rotates relay log files
automatically. If this value is nonzero, the relay log is
rotated automatically when its size exceeds this value. If
this value is zero (the default), the size at which relay
log rotation occurs is determined by the value of
max_binlog_size
. For more
information, see Section 16.2.4.1, “The Slave Relay Log”.
Property | Value |
---|---|
Command-Line Format | --relay-log-purge[={OFF|ON}] |
System Variable | relay_log_purge |
Scope | Global |
Dynamic | Yes |
Type | Boolean |
Default Value | ON |
Disable or enable automatic purging of relay logs as soon as
they are no longer needed. The default value is 1 (enabled).
This is a global variable that can be changed dynamically
with SET GLOBAL relay_log_purge =
. Disabling purging of
relay logs when enabling the
N
--relay-log-recovery
option
puts data consistency at risk.
Property | Value |
---|---|
Command-Line Format | --relay-log-space-limit=# |
System Variable | relay_log_space_limit |
Scope | Global |
Dynamic | No |
Type | Integer |
Default Value | 0 |
Minimum Value | 0 |
Maximum Value (64-bit platforms) | 18446744073709551615 |
Maximum Value (32-bit platforms) | 4294967295 |
This option places an upper limit on the total size in bytes
of all relay logs on the slave. A value of 0 means “no
limit”. This is useful for a slave server host that
has limited disk space. When the limit is reached, the I/O
thread stops reading binary log events from the master
server until the SQL thread has caught up and deleted some
unused relay logs. Note that this limit is not absolute:
There are cases where the SQL thread needs more events
before it can delete relay logs. In that case, the I/O
thread exceeds the limit until it becomes possible for the
SQL thread to delete some relay logs because not doing so
would cause a deadlock. You should not set
--relay-log-space-limit
to
less than twice the value of
--max-relay-log-size
(or
--max-binlog-size
if
--max-relay-log-size
is 0).
In that case, there is a chance that the I/O thread waits
for free space because
--relay-log-space-limit
is
exceeded, but the SQL thread has no relay log to purge and
is unable to satisfy the I/O thread. This forces the I/O
thread to ignore
--relay-log-space-limit
temporarily.
Property | Value |
---|---|
Command-Line Format | --replicate-do-db=name |
Type | String |
Creates a replication filter using the name of a database.
Such filters can also be created using
CHANGE
REPLICATION FILTER REPLICATE_DO_DB
. The precise
effect of this filtering depends on whether statement-based
or row-based replication is in use, and are described in the
next several paragraphs.
Replication filters cannot be used on a MySQL server instance that is configured for Group Replication, because filtering transactions on some servers would make the group unable to reach agreement on a consistent state.
Statement-based replication.
Tell the slave SQL thread to restrict replication to
statements where the default database (that is, the one
selected by USE
) is
db_name
. To specify more than
one database, use this option multiple times, once for
each database; however, doing so does
not replicate cross-database
statements such as UPDATE
while a different database (or no
database) is selected.
some_db.some_table
SET
foo='bar'
To specify multiple databases you must use multiple instances of this option. Because database names can contain commas, if you supply a comma separated list then the list will be treated as the name of a single database.
An example of what does not work as you might expect when
using statement-based replication: If the slave is started
with --replicate-do-db=sales
and you issue the following statements on the master, the
UPDATE
statement is
not replicated:
USE prices; UPDATE sales.january SET amount=amount+1000;
The main reason for this “check just the default
database” behavior is that it is difficult from the
statement alone to know whether it should be replicated (for
example, if you are using multiple-table
DELETE
statements or
multiple-table UPDATE
statements that act across multiple databases). It is also
faster to check only the default database rather than all
databases if there is no need.
Row-based replication.
Tells the slave SQL thread to restrict replication to
database db_name
. Only tables
belonging to db_name
are
changed; the current database has no effect on this.
Suppose that the slave is started with
--replicate-do-db=sales
and
row-based replication is in effect, and then the following
statements are run on the master:
USE prices; UPDATE sales.february SET amount=amount+100;
The february
table in the
sales
database on the slave is changed in
accordance with the UPDATE
statement; this occurs whether or not the
USE
statement was issued.
However, issuing the following statements on the master has
no effect on the slave when using row-based replication and
--replicate-do-db=sales
:
USE prices; UPDATE prices.march SET amount=amount-25;
Even if the statement USE prices
were
changed to USE sales
, the
UPDATE
statement's
effects would still not be replicated.
Another important difference in how
--replicate-do-db
is handled
in statement-based replication as opposed to row-based
replication occurs with regard to statements that refer to
multiple databases. Suppose that the slave is started with
--replicate-do-db=db1
, and
the following statements are executed on the master:
USE db1; UPDATE db1.table1 SET col1 = 10, db2.table2 SET col2 = 20;
If you are using statement-based replication, then both
tables are updated on the slave. However, when using
row-based replication, only table1
is
affected on the slave; since table2
is in
a different database, table2
on the slave
is not changed by the UPDATE
.
Now suppose that, instead of the USE db1
statement, a USE db4
statement had been
used:
USE db4; UPDATE db1.table1 SET col1 = 10, db2.table2 SET col2 = 20;
In this case, the UPDATE
statement would have no effect on the slave when using
statement-based replication. However, if you are using
row-based replication, the
UPDATE
would change
table1
on the slave, but not
table2
—in other words, only tables
in the database named by
--replicate-do-db
are
changed, and the choice of default database has no effect on
this behavior.
If you need cross-database updates to work, use
--replicate-wild-do-table=
instead. See Section 16.2.5, “How Servers Evaluate Replication Filtering Rules”.
db_name
.%
This option affects replication in the same manner that
--binlog-do-db
affects
binary logging, and the effects of the replication format
on how --replicate-do-db
affects replication behavior are the same as those of the
logging format on the behavior of
--binlog-do-db
.
This option has no effect on
BEGIN
,
COMMIT
, or
ROLLBACK
statements.
Property | Value |
---|---|
Command-Line Format | --replicate-ignore-db=name |
Type | String |
Creates a replication filter using the name of a database.
Such filters can also be created using
CHANGE
REPLICATION FILTER REPLICATE_IGNORE_DB
. As with
--replicate-do-db
, the
precise effect of this filtering depends on whether
statement-based or row-based replication is in use, and are
described in the next several paragraphs.
Replication filters cannot be used on a MySQL server instance that is configured for Group Replication, because filtering transactions on some servers would make the group unable to reach agreement on a consistent state.
Statement-based replication.
Tells the slave SQL thread not to replicate any statement
where the default database (that is, the one selected by
USE
) is
db_name
.
Row-based replication.
Tells the slave SQL thread not to update any tables in the
database db_name
. The default
database has no effect.
When using statement-based replication, the following
example does not work as you might expect. Suppose that the
slave is started with
--replicate-ignore-db=sales
and you issue the following statements on the master:
USE prices; UPDATE sales.january SET amount=amount+1000;
The UPDATE
statement
is replicated in such a case because
--replicate-ignore-db
applies
only to the default database (determined by the
USE
statement). Because the
sales
database was specified explicitly
in the statement, the statement has not been filtered.
However, when using row-based replication, the
UPDATE
statement's
effects are not propagated to the
slave, and the slave's copy of the
sales.january
table is unchanged; in this
instance,
--replicate-ignore-db=sales
causes all changes made to tables in
the master's copy of the sales
database to be ignored by the slave.
To specify more than one database to ignore, use this option multiple times, once for each database. Because database names can contain commas, if you supply a comma separated list then the list will be treated as the name of a single database.
You should not use this option if you are using cross-database updates and you do not want these updates to be replicated. See Section 16.2.5, “How Servers Evaluate Replication Filtering Rules”.
If you need cross-database updates to work, use
--replicate-wild-ignore-table=
instead. See Section 16.2.5, “How Servers Evaluate Replication Filtering Rules”.
db_name
.%
This option affects replication in the same manner that
--binlog-ignore-db
affects
binary logging, and the effects of the replication format
on how
--replicate-ignore-db
affects replication behavior are the same as those of the
logging format on the behavior of
--binlog-ignore-db
.
This option has no effect on
BEGIN
,
COMMIT
, or
ROLLBACK
statements.
--replicate-do-table=
db_name.tbl_name
Property | Value |
---|---|
Command-Line Format | --replicate-do-table=name |
Type | String |
Creates a replication filter by telling the slave SQL thread
to restrict replication to a given table. To specify more
than one table, use this option multiple times, once for
each table. This works for both cross-database updates and
default database updates, in contrast to
--replicate-do-db
. See
Section 16.2.5, “How Servers Evaluate Replication Filtering Rules”. You can also create
such a filter by issuing a
CHANGE
REPLICATION FILTER REPLICATE_DO_TABLE
statement.
Replication filters cannot be used on a MySQL server instance that is configured for Group Replication, because filtering transactions on some servers would make the group unable to reach agreement on a consistent state.
This option affects only statements that apply to tables. It
does not affect statements that apply only to other database
objects, such as stored routines. To filter statements
operating on stored routines, use one or more of the
--replicate-*-db
options.
--replicate-ignore-table=
db_name.tbl_name
Property | Value |
---|---|
Command-Line Format | --replicate-ignore-table=name |
Type | String |
Creates a replication filter by telling the slave SQL thread
not to replicate any statement that updates the specified
table, even if any other tables might be updated by the same
statement. To specify more than one table to ignore, use
this option multiple times, once for each table. This works
for cross-database updates, in contrast to
--replicate-ignore-db
. See
Section 16.2.5, “How Servers Evaluate Replication Filtering Rules”. You can also create
such a filter by issuing a
CHANGE
REPLICATION FILTER REPLICATE_IGNORE_TABLE
statement.
Replication filters cannot be used on a MySQL server instance that is configured for Group Replication, because filtering transactions on some servers would make the group unable to reach agreement on a consistent state.
This option affects only statements that apply to tables. It
does not affect statements that apply only to other database
objects, such as stored routines. To filter statements
operating on stored routines, use one or more of the
--replicate-*-db
options.
--replicate-rewrite-db=
from_name
->to_name
Property | Value |
---|---|
Command-Line Format | --replicate-rewrite-db=old_name->new_name |
Type | String |
Tells the slave to create a replication filter that
translates the default database (that is, the one selected
by USE
) to
to_name
if it was
from_name
on the master. Only
statements involving tables are affected (not statements
such as CREATE DATABASE
,
DROP DATABASE
, and
ALTER DATABASE
), and only if
from_name
is the default database
on the master. To specify multiple rewrites, use this option
multiple times. The server uses the first one with a
from_name
value that matches. The
database name translation is done
before the
--replicate-*
rules are tested. You can
also create such a filter by issuing a
CHANGE
REPLICATION FILTER REPLICATE_REWRITE_DB
statement.
Replication filters cannot be used on a MySQL server instance that is configured for Group Replication, because filtering transactions on some servers would make the group unable to reach agreement on a consistent state.
Statements in which table names are qualified with database
names when using this option do not work with table-level
replication filtering options such as
--replicate-do-table
. Suppose
we have a database named a
on the master,
one named b
on the slave, each containing
a table t
, and have started the master
with --replicate-rewrite-db='a->b'
. At a
later point in time, we execute
DELETE FROM
a.t
. In this case, no relevant filtering rule
works, for the reasons shown here:
--replicate-do-table=a.t
does not work
because the slave has table t
in
database b
.
--replicate-do-table=b.t
does not match
the original statement and so is ignored.
--replicate-do-table=*.t
is handled
identically to
--replicate-do-table=a.t
, and thus does
not work, either.
Similarly, the --replication-rewrite-db
option does not work with cross-database updates.
If you use this option on the command line and the
>
character is special to your command
interpreter, quote the option value. For example:
shell> mysqld --replicate-rewrite-db="olddb
->newdb
"
Property | Value |
---|---|
Command-Line Format | --replicate-same-server-id[={OFF|ON}] |
Type | Boolean |
Default Value | OFF |
To be used on slave servers. Usually you should use the
default setting of 0, to prevent infinite loops caused by
circular replication. If set to 1, the slave does not skip
events having its own server ID. Normally, this is useful
only in rare configurations. Cannot be set to 1 if
log_slave_updates
is
enabled. By default, the slave I/O thread does not write
binary log events to the relay log if they have the slave's
server ID (this optimization helps save disk usage). If you
want to use
--replicate-same-server-id
,
be sure to start the slave with this option before you make
the slave read its own events that you want the slave SQL
thread to execute.
--replicate-wild-do-table=
db_name.tbl_name
Property | Value |
---|---|
Command-Line Format | --replicate-wild-do-table=name |
Type | String |
Creates a replication filter by telling the slave thread to
restrict replication to statements where any of the updated
tables match the specified database and table name patterns.
Patterns can contain the %
and
_
wildcard characters, which have the
same meaning as for the LIKE
pattern-matching operator. To specify more than one table,
use this option multiple times, once for each table. This
works for cross-database updates. See
Section 16.2.5, “How Servers Evaluate Replication Filtering Rules”. You can also create
such a filter by issuing a
CHANGE
REPLICATION FILTER REPLICATE_WILD_DO_TABLE
statement.
Replication filters cannot be used on a MySQL server instance that is configured for Group Replication, because filtering transactions on some servers would make the group unable to reach agreement on a consistent state.
This option applies to tables, views, and triggers. It does
not apply to stored procedures and functions, or events. To
filter statements operating on the latter objects, use one
or more of the --replicate-*-db
options.
As an example,
--replicate-wild-do-table=foo%.bar%
replicates only updates that use a table where the database
name starts with foo
and the table name
starts with bar
.
If the table name pattern is %
, it
matches any table name and the option also applies to
database-level statements (CREATE
DATABASE
, DROP
DATABASE
, and ALTER
DATABASE
). For example, if you use
--replicate-wild-do-table=foo%.%
,
database-level statements are replicated if the database
name matches the pattern foo%
.
To include literal wildcard characters in the database or
table name patterns, escape them with a backslash. For
example, to replicate all tables of a database that is named
my_own%db
, but not replicate tables from
the my1ownAABCdb
database, you should
escape the _
and %
characters like this:
--replicate-wild-do-table=my\_own\%db
.
If you use the option on the command line, you might need to
double the backslashes or quote the option value, depending
on your command interpreter. For example, with the
bash shell, you would need to type
--replicate-wild-do-table=my\\_own\\%db
.
--replicate-wild-ignore-table=
db_name.tbl_name
Property | Value |
---|---|
Command-Line Format | --replicate-wild-ignore-table=name |
Type | String |
Creates a replication filter which keeps the slave thread
from replicating a statement in which any table matches the
given wildcard pattern. To specify more than one table to
ignore, use this option multiple times, once for each table.
This works for cross-database updates. See
Section 16.2.5, “How Servers Evaluate Replication Filtering Rules”. You can also create
such a filter by issuing a
CHANGE
REPLICATION FILTER REPLICATE_WILD_IGNORE_TABLE
statement.
Replication filters cannot be used on a MySQL server instance that is configured for Group Replication, because filtering transactions on some servers would make the group unable to reach agreement on a consistent state.
As an example,
--replicate-wild-ignore-table=foo%.bar%
does not replicate updates that use a table where the
database name starts with foo
and the
table name starts with bar
.
For information about how matching works, see the
description of the
--replicate-wild-do-table
option. The rules for including literal wildcard characters
in the option value are the same as for
--replicate-wild-ignore-table
as well.
Property | Value |
---|---|
Command-Line Format | --skip-slave-start[={OFF|ON}] |
Type | Boolean |
Default Value | OFF |
Tells the slave server not to start the slave threads when
the server starts. To start the threads later, use a
START SLAVE
statement.
--slave-skip-errors=[
err_code1
,err_code2
,...|all|ddl_exist_errors]
Property | Value |
---|---|
Command-Line Format | --slave-skip-errors=name |
System Variable | slave_skip_errors |
Scope | Global |
Dynamic | No |
Type | String |
Default Value | OFF |
Valid Values |
|
Normally, replication stops when an error occurs on the slave, which gives you the opportunity to resolve the inconsistency in the data manually. This option causes the slave SQL thread to continue replication when a statement returns any of the errors listed in the option value.
Do not use this option unless you fully understand why you are getting errors. If there are no bugs in your replication setup and client programs, and no bugs in MySQL itself, an error that stops replication should never occur. Indiscriminate use of this option results in slaves becoming hopelessly out of synchrony with the master, with you having no idea why this has occurred.
For error codes, you should use the numbers provided by the
error message in your slave error log and in the output of
SHOW SLAVE STATUS
.
Appendix B, Errors, Error Codes, and Common Problems, lists server error codes.
The shorthand value ddl_exist_errors
is
equivalent to the error code list
1007,1008,1050,1051,1054,1060,1061,1068,1094,1146
.
You can also (but should not) use the very nonrecommended
value of all
to cause the slave to ignore
all error messages and keeps going regardless of what
happens. Needless to say, if you use all
,
there are no guarantees regarding the integrity of your
data. Please do not complain (or file bug reports) in this
case if the slave's data is not anywhere close to what it is
on the master. You have been warned.
Examples:
--slave-skip-errors=1062,1053 --slave-skip-errors=all --slave-skip-errors=ddl_exist_errors
--slave-sql-verify-checksum={0|1}
Property | Value |
---|---|
Command-Line Format | --slave-sql-verify-checksum[={OFF|ON}] |
Type | Boolean |
Default Value | ON |
When this option is enabled, the slave examines checksums read from the relay log, in the event of a mismatch, the slave stops with an error.
The following options are used internally by the MySQL test suite for replication testing and debugging. They are not intended for use in a production setting.
Property | Value |
---|---|
Command-Line Format | --abort-slave-event-count=# |
Type | Integer |
Default Value | 0 |
Minimum Value | 0 |
When this option is set to some positive integer
value
other than 0 (the default)
it affects replication behavior as follows: After the slave
SQL thread has started, value
log
events are permitted to be executed; after that, the slave
SQL thread does not receive any more events, just as if the
network connection from the master were cut. The slave
thread continues to run, and the output from
SHOW SLAVE STATUS
displays
Yes
in both the
Slave_IO_Running
and the
Slave_SQL_Running
columns, but no further
events are read from the relay log.
--disconnect-slave-event-count
Property | Value |
---|---|
Command-Line Format | --disconnect-slave-event-count=# |
Type | Integer |
Default Value | 0 |
MySQL 5.7 supports logging of replication slave status information to tables rather than files. Writing of the master info log and the relay log info log can be configured separately using these two system variables:
For information about these variables, see Section 16.1.6.3, “Replication Slave Options and Variables”.
These variables can be used to make a replication slave resilient to unexpected halts. See Section 16.3.2, “Handling an Unexpected Halt of a Replication Slave”, for more information.
The info log tables and their contents are considered local to a given MySQL Server. They are not replicated, and changes to them are not written to the binary log.
For more information, see Section 16.2.4, “Replication Relay and Status Logs”.
The following list describes system variables for controlling
replication slave servers. They can be set at server startup and
some of them can be changed at runtime using
SET
.
Server options used with replication slaves are listed earlier
in this section.
Property | Value |
---|---|
Command-Line Format | --init-slave=name |
System Variable | init_slave |
Scope | Global |
Dynamic | Yes |
Type | String |
This variable is similar to
init_connect
, but is a
string to be executed by a slave server each time the SQL
thread starts. The format of the string is the same as for
the init_connect
variable.
The setting of this variable takes effect for subsequent
START SLAVE
statements.
The SQL thread sends an acknowledgment to the client
before it executes
init_slave
. Therefore, it
is not guaranteed that
init_slave
has been
executed when START SLAVE
returns. See Section 13.4.2.6, “START SLAVE Statement”, for more
information.
Property | Value |
---|---|
Command-Line Format | --log-slow-slave-statements[={OFF|ON}] |
System Variable | log_slow_slave_statements |
Scope | Global |
Dynamic | Yes |
Type | Boolean |
Default Value | OFF |
When the slow query log is enabled, this variable enables
logging for queries that have taken more than
long_query_time
seconds to
execute on the slave. Note that if row-based replication is
in use (binlog_format=ROW
),
log_slow_slave_statements
has no effect. Queries are only added to the slave's slow
query log when they are logged in statement format in the
binary log, that is, when
binlog_format=STATEMENT
is
set, or when
binlog_format=MIXED
is set
and the statement is logged in statement format. Slow
queries that are logged in row format when
binlog_format=MIXED
is set,
or that are logged when
binlog_format=ROW
is set,
are not added to the slave's slow query log, even if
log_slow_slave_statements
is enabled.
Setting
log_slow_slave_statements
has no immediate effect. The state of the variable applies
on all subsequent START SLAVE
statements. Also note that the global setting for
long_query_time
applies for
the lifetime of the SQL thread. If you change that setting,
you must stop and restart the slave's SQL thread to
implement the change there (for example, by issuing
STOP SLAVE
and
START SLAVE
statements with
the SQL_THREAD
option).
Property | Value |
---|---|
Command-Line Format | --master-info-repository={FILE|TABLE} |
System Variable | master_info_repository |
Scope | Global |
Dynamic | Yes |
Type | String |
Default Value | FILE |
Valid Values |
|
The setting of this variable determines whether the slave
server logs master status and connection information to a
FILE
(master.info
),
or to a TABLE
(mysql.slave_master_info
). You can change
the value of this variable only when no replication threads
are executing.
The setting of this variable also has a direct influence on
the effect had by the setting of the
sync_master_info
system
variable; see that variable description for further
information.
For FILE
logging, you can change the name
of the file using the
--master-info-file
server
option.
This variable must be set to TABLE
before
configuring multiple replication channels. If you are using
multiple replication channels, you cannot set the value back
to FILE
.
Property | Value |
---|---|
Command-Line Format | --max-relay-log-size=# |
System Variable | max_relay_log_size |
Scope | Global |
Dynamic | Yes |
Type | Integer |
Default Value | 0 |
Minimum Value | 0 |
Maximum Value | 1073741824 |
If a write by a replication slave to its relay log causes
the current log file size to exceed the value of this
variable, the slave rotates the relay logs (closes the
current file and opens the next one). If
max_relay_log_size
is 0,
the server uses
max_binlog_size
for both
the binary log and the relay log. If
max_relay_log_size
is
greater than 0, it constrains the size of the relay log,
which enables you to have different sizes for the two logs.
You must set
max_relay_log_size
to
between 4096 bytes and 1GB (inclusive), or to 0. The default
value is 0. See
Section 16.2.2, “Replication Implementation Details”.
Property | Value |
---|---|
Command-Line Format | --relay-log=file_name |
System Variable | relay_log |
Scope | Global |
Dynamic | No |
Type | File name |
The base name for relay log files. For the default
replication channel, the default base name for relay logs is
.
For non-default replication channels, the default base name
for relay logs is
host_name
-relay-bin
,
where host_name
-relay-bin-channel
channel
is the name of the
replication channel recorded in this relay log.
The server writes the file in the data directory unless the base name is given with a leading absolute path name to specify a different directory. The server creates relay log files in sequence by adding a numeric suffix to the base name.
Due to the manner in which MySQL parses server options, if
you specify this variable at server startup, you must supply
a value; the default base name is used only if the
option is not actually specified. If you specify
the relay_log
system
variable at server startup without specifying a value,
unexpected behavior is likely to result; this behavior
depends on the other options used, the order in which they
are specified, and whether they are specified on the command
line or in an option file. For more information about how
MySQL handles server options, see
Section 4.2.2, “Specifying Program Options”.
If you specify this variable, the value specified is also
used as the base name for the relay log index file. You can
override this behavior by specifying a different relay log
index file base name using the
relay_log_index
system
variable.
When the server reads an entry from the index file, it
checks whether the entry contains a relative path. If it
does, the relative part of the path is replaced with the
absolute path set using the
relay_log
system variable.
An absolute path remains unchanged; in such a case, the
index must be edited manually to enable the new path or
paths to be used.
You may find the relay_log
system variable useful in performing the following tasks:
Creating relay logs whose names are independent of host names.
If you need to put the relay logs in some area other
than the data directory because your relay logs tend to
be very large and you do not want to decrease
max_relay_log_size
.
To increase speed by using load-balancing between disks.
You can obtain the relay log file name (and path) from the
relay_log_basename
system
variable.
Property | Value |
---|---|
System Variable | relay_log_basename |
Scope | Global |
Dynamic | No |
Type | File name |
Default Value | datadir + '/' + hostname + '-relay-bin' |
Holds the name and complete path to the relay log file. This variable is set by the server and is read only.
Property | Value |
---|---|
Command-Line Format | --relay-log-index=file_name |
System Variable | relay_log_index |
Scope | Global |
Dynamic | No |
Type | File name |
Default Value | *host_name*-relay-bin.index |
The name for the relay log index file. For the default
replication channel, the default name is
.
For non-default replication channels, the default name is
host_name
-relay-bin.index
,
where host_name
-relay-bin-channel
.indexchannel
is the name of the
replication channel recorded in this relay log index.
The server writes the file in the data directory unless the name is given with a leading absolute path name to specify a different directory. name.
Due to the manner in which MySQL parses server options, if
you specify this variable at server startup, you must supply
a value; the default base name is used only if the
option is not actually specified. If you specify
the relay_log_index
system
variable at server startup without specifying a value,
unexpected behavior is likely to result; this behavior
depends on the other options used, the order in which they
are specified, and whether they are specified on the command
line or in an option file. For more information about how
MySQL handles server options, see
Section 4.2.2, “Specifying Program Options”.
Property | Value |
---|---|
Command-Line Format | --relay-log-info-file=file_name |
System Variable | relay_log_info_file |
Scope | Global |
Dynamic | No |
Type | File name |
Default Value | relay-log.info |
The name of the file in which the slave records information
about the relay logs, when
relay_log_info_repository=FILE
.
If
relay_log_info_repository=TABLE
,
it is the file name that would be used in case the
repository was changed to FILE
). The
default name is relay-log.info
in the
data directory.
Property | Value |
---|---|
Command-Line Format | --relay-log-info-repository=value |
System Variable | relay_log_info_repository |
Scope | Global |
Dynamic | Yes |
Type | String |
Default Value | FILE |
Valid Values |
|
This variable determines whether the slave's position
in the relay logs is written to a FILE
(relay-log.info
) or to a
TABLE
(mysql.slave_relay_log_info
). You can
change the value of this variable only when no replication
threads are executing.
The setting of this variable also has a direct influence on
the effect had by the setting of the
sync_relay_log_info
system
variable; see that variable description for further
information.
This variable must be set to TABLE
before
configuring multiple replication channels. If you are using
multiple replication channels then you cannot set the value
back to FILE
.
Property | Value |
---|---|
Command-Line Format | --relay-log-purge[={OFF|ON}] |
System Variable | relay_log_purge |
Scope | Global |
Dynamic | Yes |
Type | Boolean |
Default Value | ON |
Disables or enables automatic purging of relay log files as
soon as they are not needed any more. The default value is 1
(ON
).
Property | Value |
---|---|
Command-Line Format | --relay-log-recovery[={OFF|ON}] |
System Variable | relay_log_recovery |
Scope | Global |
Dynamic | No |
Type | Boolean |
Default Value | OFF |
If enabled, this variable enables automatic relay log
recovery immediately following server startup. The recovery
process creates a new relay log file, initializes the SQL
thread position to this new relay log, and initializes the
I/O thread to the SQL thread position. Reading of the relay
log from the master then continues. This global variable is
read-only at runtime. Its value can set with the
--relay-log-recovery
option
at slave startup, which should be used following an
unexpected halt of a replication slave to ensure that no
possibly corrupted relay logs are processed. This option can
be enabled to make a slave resilient to unexpected halts.
See
Section 16.3.2, “Handling an Unexpected Halt of a Replication Slave”
for more information.
This variable also interacts with the
relay_log_purge
variable,
which controls purging of logs when they are no longer
needed. Enabling
relay_log_recovery
when
relay_log_purge
is disabled
risks reading the relay log from files that were not purged,
leading to data inconsistency.
When using a multithreaded slave (in other words
slave_parallel_workers
is
greater than 0), inconsistencies such as gaps can occur in
the sequence of transactions that have been executed from
the relay log. Enabling
relay_log_recovery
when
there are inconsistencies causes an error and the option has
no effect. The solution in this situation is to issue
START SLAVE
UNTIL SQL_AFTER_MTS_GAPS
, which brings the server
to a more consistent state, then issue
RESET SLAVE
to remove the
relay logs. See
Section 16.4.1.32, “Replication and Transaction Inconsistencies”
for more information.
This variable does not affect the following Group Replication channels:
group_replication_applier
group_replication_recovery
Any other channels running on a group are affected, such as a channel which is replicating from an outside master or another group.
Property | Value |
---|---|
Command-Line Format | --relay-log-space-limit=# |
System Variable | relay_log_space_limit |
Scope | Global |
Dynamic | No |
Type | Integer |
Default Value | 0 |
Minimum Value | 0 |
Maximum Value (64-bit platforms) | 18446744073709551615 |
Maximum Value (32-bit platforms) | 4294967295 |
The maximum amount of space to use for all relay logs.
Property | Value |
---|---|
Command-Line Format | --report-host=host_name |
System Variable | report_host |
Scope | Global |
Dynamic | No |
Type | String |
The host name or IP address of the slave to be reported to
the master during slave registration. This value appears in
the output of SHOW SLAVE
HOSTS
on the master server. Leave the value unset
if you do not want the slave to register itself with the
master.
It is not sufficient for the master to simply read the IP address of the slave from the TCP/IP socket after the slave connects. Due to NAT and other routing issues, that IP may not be valid for connecting to the slave from the master or other hosts.
Property | Value |
---|---|
Command-Line Format | --report-password=name |
System Variable | report_password |
Scope | Global |
Dynamic | No |
Type | String |
The account password of the slave to be reported to the
master during slave registration. This value appears in the
output of SHOW SLAVE HOSTS
on
the master server if the master was started with
--show-slave-auth-info
.
Although the name of this variable might imply otherwise,
report_password
is not
connected to the MySQL user privilege system and so is not
necessarily (or even likely to be) the same as the password
for the MySQL replication user account.
Property | Value |
---|---|
Command-Line Format | --report-port=port_num |
System Variable | report_port |
Scope | Global |
Dynamic | No |
Type | Integer |
Default Value | [slave_port] |
Minimum Value | 0 |
Maximum Value | 65535 |
The TCP/IP port number for connecting to the slave, to be reported to the master during slave registration. Set this only if the slave is listening on a nondefault port or if you have a special tunnel from the master or other clients to the slave. If you are not sure, do not use this option.
The default value for this option is the port number
actually used by the slave. This is also the default value
displayed by SHOW SLAVE
HOSTS
.
Property | Value |
---|---|
Command-Line Format | --report-user=name |
System Variable | report_user |
Scope | Global |
Dynamic | No |
Type | String |
The account user name of the slave to be reported to the
master during slave registration. This value appears in the
output of SHOW SLAVE HOSTS
on
the master server if the master was started with
--show-slave-auth-info
.
Although the name of this variable might imply otherwise,
report_user
is not
connected to the MySQL user privilege system and so is not
necessarily (or even likely to be) the same as the name of
the MySQL replication user account.
Property | Value |
---|---|
Command-Line Format | --rpl-semi-sync-slave-enabled[={OFF|ON}] |
System Variable | rpl_semi_sync_slave_enabled |
Scope | Global |
Dynamic | Yes |
Type | Boolean |
Default Value | OFF |
Controls whether semisynchronous replication is enabled on
the slave. To enable or disable the plugin, set this
variable to ON
or OFF
(or 1 or 0), respectively. The default is
OFF
.
This variable is available only if the slave-side semisynchronous replication plugin is installed.
rpl_semi_sync_slave_trace_level
Property | Value |
---|---|
Command-Line Format | --rpl-semi-sync-slave-trace-level=# |
System Variable | rpl_semi_sync_slave_trace_level |
Scope | Global |
Dynamic | Yes |
Type | Integer |
Default Value | 32 |
The semisynchronous replication debug trace level on the
slave. See
rpl_semi_sync_master_trace_level
for the permissible values.
This variable is available only if the slave-side semisynchronous replication plugin is installed.
Property | Value |
---|---|
Command-Line Format | --rpl-stop-slave-timeout=seconds |
System Variable | rpl_stop_slave_timeout |
Scope | Global |
Dynamic | Yes |
Type | Integer |
Default Value | 31536000 |
Minimum Value | 2 |
Maximum Value | 31536000 |
You can control the length of time (in seconds) that
STOP SLAVE
waits before
timing out by setting this variable. This can be used to
avoid deadlocks between STOP SLAVE
and
other slave SQL statements using different client
connections to the slave.
The maximum and default value of
rpl_stop_slave_timeout
is 31536000
seconds (1 year). The minimum is 2 seconds. Changes to this
variable take effect for subsequent
STOP SLAVE
statements.
This variable affects only the client that issues a
STOP SLAVE
statement. When the timeout is
reached, the issuing client returns an error message stating
that the command execution is incomplete. The client then
stops waiting for the slave threads to stop, but the slave
threads continue to try to stop, and the STOP
SLAVE
instruction remains in effect. Once the
slave threads are no longer busy, the STOP
SLAVE
statement is executed and the slave stops.
Property | Value |
---|---|
Command-Line Format | --slave-checkpoint-group=# |
System Variable | slave_checkpoint_group |
Scope | Global |
Dynamic | Yes |
Type | Integer |
Default Value | 512 |
Minimum Value | 32 |
Maximum Value | 524280 |
Block Size | 8 |
Sets the maximum number of transactions that can be
processed by a multithreaded slave before a checkpoint
operation is called to update its status as shown by
SHOW SLAVE STATUS
. Setting
this variable has no effect on slaves for which
multithreading is not enabled. Setting this variable has no
immediate effect. The state of the variable applies on all
subsequent START SLAVE
commands.
Multithreaded slaves are not currently supported by NDB Cluster, which silently ignores the setting for this variable. See Section 21.6.3, “Known Issues in NDB Cluster Replication”, for more information.
This variable works in combination with the
slave_checkpoint_period
system variable in such a way that, when either limit is
exceeded, the checkpoint is executed and the counters
tracking both the number of transactions and the time
elapsed since the last checkpoint are reset.
The minimum allowed value for this variable is 32, unless
the server was built using
-DWITH_DEBUG
, in which case
the minimum value is 1. The effective value is always a
multiple of 8; you can set it to a value that is not such a
multiple, but the server rounds it down to the next lower
multiple of 8 before storing the value.
(Exception: No such rounding is
performed by the debug server.) Regardless of how the server
was built, the default value is 512, and the maximum allowed
value is 524280.
Property | Value |
---|---|
Command-Line Format | --slave-checkpoint-period=# |
System Variable | slave_checkpoint_period |
Scope | Global |
Dynamic | Yes |
Type | Integer |
Default Value | 300 |
Minimum Value | 1 |
Maximum Value | 4G |
Sets the maximum time (in milliseconds) that is allowed to
pass before a checkpoint operation is called to update the
status of a multithreaded slave as shown by
SHOW SLAVE STATUS
. Setting
this variable has no effect on slaves for which
multithreading is not enabled. Setting this variable takes
effect for all replication channels immediately, including
running channels.
Multithreaded slaves are not currently supported by NDB Cluster, which silently ignores the setting for this variable. See Section 21.6.3, “Known Issues in NDB Cluster Replication”, for more information.
This variable works in combination with the
slave_checkpoint_group
system variable in such a way that, when either limit is
exceeded, the checkpoint is executed and the counters
tracking both the number of transactions and the time
elapsed since the last checkpoint are reset.
The minimum allowed value for this variable is 1, unless the
server was built using
-DWITH_DEBUG
, in which case
the minimum value is 0. Regardless of how the server was
built, the default value is 300, and the maximum possible
value is 4294967296 (4GB).
Property | Value |
---|---|
Command-Line Format | --slave-compressed-protocol[={OFF|ON}] |
System Variable | slave_compressed_protocol |
Scope | Global |
Dynamic | Yes |
Type | Boolean |
Default Value | OFF |
Whether to use compression of the master/slave protocol if
both master and slave support it. If this variable is
disabled (the default), connections are uncompressed.
Changes to this variable take effect on subsequent
connection attempts; this includes after issuing a
START SLAVE
statement, as
well as reconnections made by a running I/O thread (for
example, after setting the
MASTER_RETRY_COUNT
option for the
CHANGE MASTER TO
statement).
See also Section 4.2.5, “Connection Compression Control”.
Property | Value |
---|---|
Command-Line Format | --slave-exec-mode=mode |
System Variable | slave_exec_mode |
Scope | Global |
Dynamic | Yes |
Type | Enumeration |
Default Value |
|
Valid Values |
|
Controls how a slave thread resolves conflicts and errors
during replication. IDEMPOTENT
mode
causes suppression of duplicate-key and no-key-found errors;
STRICT
means no such suppression takes
place.
IDEMPOTENT
mode is intended for use in
multi-master replication, circular replication, and some
other special replication scenarios for NDB Cluster
Replication. (See
Section 21.6.10, “NDB Cluster Replication: Multi-Master and Circular Replication”,
and
Section 21.6.11, “NDB Cluster Replication Conflict Resolution”,
for more information.) NDB Cluster ignores any value
explicitly set for
slave_exec_mode
, and always
treats it as IDEMPOTENT
.
In MySQL Server 5.7, STRICT
mode is the default value.
For storage engines other than
NDB
,
IDEMPOTENT
mode should be used
only when you are absolutely sure that duplicate-key errors
and key-not-found errors can safely be ignored.
It is meant to be used in fail-over scenarios for NDB
Cluster where multi-master replication or circular
replication is employed, and is not recommended for use in
other cases.
Property | Value |
---|---|
Command-Line Format | --slave-load-tmpdir=dir_name |
System Variable | slave_load_tmpdir |
Scope | Global |
Dynamic | No |
Type | Directory name |
Default Value | Value of --tmpdir |
The name of the directory where the slave creates temporary
files. Setting this variable takes effect for all
replication channels immediately, including running
channels. The variable value is by default equal to the
value of the tmpdir
system
variable, or the default that applies when that system
variable is not specified.
When the slave SQL thread replicates a
LOAD DATA
statement, it
extracts the file to be loaded from the relay log into
temporary files, and then loads these into the table. If the
file loaded on the master is huge, the temporary files on
the slave are huge, too. Therefore, it might be advisable to
use this option to tell the slave to put temporary files in
a directory located in some file system that has a lot of
available space. In that case, the relay logs are huge as
well, so you might also want to set the
relay_log
system variable
to place the relay logs in that file system.
The directory specified by this option should be located in
a disk-based file system (not a memory-based file system) so
that the temporary files used to replicate
LOAD DATA
statements can
survive machine restarts. The directory also should not be
one that is cleared by the operating system during the
system startup process. However, replication can now
continue after a restart if the temporary files have been
removed.
Property | Value |
---|---|
Command-Line Format | --slave-max-allowed-packet=# |
System Variable | slave_max_allowed_packet |
Scope | Global |
Dynamic | Yes |
Type | Integer |
Default Value | 1073741824 |
Minimum Value | 1024 |
Maximum Value | 1073741824 |
This variable sets the maximum packet size for the slave SQL
and I/O threads, so that large updates using row-based
replication do not cause replication to fail because an
update exceeded
max_allowed_packet
. Setting
this variable takes effect for all replication channels
immediately, including running channels.
This global variable always has a value that is a positive
integer multiple of 1024; if you set it to some value that
is not, the value is rounded down to the next highest
multiple of 1024 for it is stored or used; setting
slave_max_allowed_packet
to 0 causes 1024
to be used. (A truncation warning is issued in all such
cases.) The default and maximum value is 1073741824 (1 GB);
the minimum is 1024.
Property | Value |
---|---|
Command-Line Format | --slave-net-timeout=# |
System Variable | slave_net_timeout |
Scope | Global |
Dynamic | Yes |
Type | Integer |
Default Value | 60 |
Minimum Value | 1 |
The number of seconds to wait for more data or a heartbeat
signal from the master before the slave considers the
connection broken, aborts the read, and tries to reconnect.
Setting this variable has no immediate effect. The state of
the variable applies on all subsequent
START SLAVE
commands.
The first retry occurs immediately after the timeout. The
interval between retries is controlled by the
MASTER_CONNECT_RETRY
option for the
CHANGE MASTER TO
statement,
and the number of reconnection attempts is limited by the
MASTER_RETRY_COUNT
option for the
CHANGE MASTER TO
statement.
The heartbeat interval, which stops the connection timeout
occurring in the absence of data if the connection is still
good, is controlled by the
MASTER_HEARTBEAT_PERIOD
option for the
CHANGE MASTER TO
statement.
The heartbeat interval defaults to half the value of
slave_net_timeout
, and it
is recorded in the master info log and shown in the
replication_connection_configuration
Performance Schema table. Note that a change to the value or
default setting of
slave_net_timeout
does not
automatically change the heartbeat interval, whether that
has been set explicitly or is using a previously calculated
default. If the connection timeout is changed, you must also
issue CHANGE MASTER TO
to
adjust the heartbeat interval to an appropriate value so
that it occurs before the connection timeout.
Property | Value |
---|---|
Command-Line Format | --slave-parallel-type=value |
System Variable | slave_parallel_type |
Scope | Global |
Dynamic | Yes |
Type | Enumeration |
Default Value | DATABASE |
Valid Values |
|
When using a multithreaded slave
(slave_parallel_workers
is
greater than 0), this variable specifies the policy used to
decide which transactions are allowed to execute in parallel
on the slave. The variable has no effect on slaves for which
multithreading is not enabled. The possible values are:
LOGICAL_CLOCK
: Transactions that are
part of the same binary log group commit on a master are
applied in parallel on a slave. The dependencies between
transactions are tracked based on their timestamps to
provide additional parallelization where possible. When
this value is set, the
binlog_transaction_dependency_tracking
system variable can be used on the master to specify
that write sets are used for parallelization in place of
timestamps, if a write set is available for the
transaction and gives improved results compared to
timestamps.
DATABASE
: Transactions that update
different databases are applied in parallel. This value
is only appropriate if data is partitioned into multiple
databases which are being updated independently and
concurrently on the master. There must be no
cross-database constraints, as such constraints may be
violated on the slave.
When
slave_preserve_commit_order=1
is set, you can only use LOGICAL_CLOCK
.
If your replication topology uses multiple levels of slaves,
LOGICAL_CLOCK
may achieve less
parallelization for each level the slave is away from the
master. You can reduce this effect by using
binlog_transaction_dependency_tracking
on the master to specify that write sets are used instead of
timestamps for parallelization where possible.
Property | Value |
---|---|
Command-Line Format | --slave-parallel-workers=# |
System Variable | slave_parallel_workers |
Scope | Global |
Dynamic | Yes |
Type | Integer |
Default Value | 0 |
Minimum Value | 0 |
Maximum Value | 1024 |
Sets the number of slave applier threads for executing
replication transactions in parallel. Setting this variable
to a number greater than 0 creates a multithreaded slave
with this number of applier threads. When set to 0 (the
default) parallel execution is disabled and the slave uses a
single applier thread. Setting
slave_parallel_workers
has
no immediate effect. The state of the variable applies on
all subsequent START SLAVE
statements.
Multithreaded slaves are not currently supported by NDB Cluster, which silently ignores the setting for this variable. See Section 21.6.3, “Known Issues in NDB Cluster Replication”, for more information.
A multithreaded slave provides parallel execution by using a
coordinator thread and the number of applier threads
configured by this variable. The way which transactions are
distributed among applier threads is configured by
slave_parallel_type
. The
transactions that the slave applies in parallel may commit
out of order, unless
slave_preserve_commit_order=1
.
Therefore, checking for the most recently executed
transaction does not guarantee that all previous
transactions from the master have been executed on the
slave. This has implications for logging and recovery when
using a multithreaded slave. For example, on a multithreaded
slave the START
SLAVE UNTIL
statement only supports using
SQL_AFTER_MTS_GAPS
.
In MySQL 5.7, retrying of transactions is
supported when multithreading is enabled on a slave. In
previous versions,
slave_transaction_retries
was treated as equal to 0 when using multithreaded slaves.
Property | Value |
---|---|
Command-Line Format | --slave-pending-jobs-size-max=# |
System Variable | slave_pending_jobs_size_max |
Scope | Global |
Dynamic | Yes |
Type | Integer |
Default Value | 16M |
Minimum Value | 1024 |
Maximum Value | 16EiB |
Block Size | 1024 |
For multithreaded slaves, this variable sets the maximum
amount of memory (in bytes) available to slave worker queues
holding events not yet applied. Setting this variable has no
effect on slaves for which multithreading is not enabled.
Setting this variable has no immediate effect. The state of
the variable applies on all subsequent
START SLAVE
commands.
The minimum possible value for this variable is 1024; the default is 16MB. The maximum possible value is 18446744073709551615 (16 exabytes). Values that are not exact multiples of 1024 are rounded down to the next-highest multiple of 1024 prior to being stored.
The value of this variable is a soft limit and can be set to match the normal workload. If an unusually large event exceeds this size, the transaction is held until all the slave workers have empty queues, and then processed. All subsequent transactions are held until the large transaction has been completed.
Property | Value |
---|---|
Command-Line Format | --slave-preserve-commit-order[={OFF|ON}] |
System Variable | slave_preserve_commit_order |
Scope | Global |
Dynamic | Yes |
Type | Boolean |
Default Value | OFF |
For multithreaded slaves, the setting 1 for this variable
ensures that transactions are externalized on the slave in
the same order as they appear in the slave's relay log,
and prevents gaps in the sequence of transactions that have
been executed from the relay log. This variable has no
effect on slaves for which multithreading is not enabled.
Note that
slave_preserve_commit_order=1
does not preserve the order of non-transactional DML
updates, so these might commit before transactions that
precede them in the relay log, which might result in gaps.
slave_preserve_commit_order=1
requires that --log-bin
and
--log-slave-updates
are
enabled on the slave, and
slave_parallel_type
is set
to LOGICAL_CLOCK
. Before changing this
variable, all replication threads (for all replication
channels if you are using multiple replication channels)
must be stopped.
With
slave_preserve_commit_order
enabled, the executing thread waits until all previous
transactions are committed before committing. While the
slave thread is waiting for other workers to commit their
transactions it reports its status as Waiting for
preceding transaction to commit
. (Prior to MySQL
5.7.8, this was shown as Waiting for its turn to
commit
.) Enabling this mode on a multithreaded
slave ensures that it never enters a state that the master
was not in. This supports the use of replication for read
scale-out. See
Section 16.3.4, “Using Replication for Scale-Out”.
If
slave_preserve_commit_order=0
is set, the transactions that the slave applies in parallel
may commit out of order. Therefore, checking for the most
recently executed transaction does not guarantee that all
previous transactions from the master have been executed on
the slave. There is a chance of gaps in the sequence of
transactions that have been executed from the slave's relay
log. This has implications for logging and recovery when
using a multithreaded slave. Note that the setting
slave_preserve_commit_order=1
prevents gaps, but does not prevent master log position lag
(where Exec_master_log_pos
is behind the
position up to which transactions have been executed). See
Section 16.4.1.32, “Replication and Transaction Inconsistencies”
for more information.
Property | Value |
---|---|
Command-Line Format | --slave-rows-search-algorithms=value |
System Variable | slave_rows_search_algorithms |
Scope | Global |
Dynamic | Yes |
Type | Set |
Default Value | TABLE_SCAN,INDEX_SCAN |
Valid Values |
|
When preparing batches of rows for row-based logging and replication, this variable controls how the rows are searched for matches, in particular whether hash scans are used. Setting this variable takes effect for all replication channels immediately, including running channels.
Specify a comma-separated list of the following combinations
of 2 values from the list INDEX_SCAN
,
TABLE_SCAN
, HASH_SCAN
.
The value is expected as a string, so if set at runtime
rather than at server startup, the value must be quoted. In
addition, the value must not contain any spaces. The
recommended combinations (lists) and their effects are shown
in the following table:
Index used / option value | INDEX_SCAN,HASH_SCAN |
INDEX_SCAN,TABLE_SCAN |
---|---|---|
Primary key or unique key | Index scan | Index scan |
(Other) Key | Hash scan over index | Index scan |
No index | Hash scan | Table scan |
The default value is
INDEX_SCAN,TABLE_SCAN
, which means
that all searches that can use indexes do use them, and
searches without any indexes use table scans.
To use hashing for any searches that do not use a
primary or unique key, set
INDEX_SCAN,HASH_SCAN
. Specifying
INDEX_SCAN,HASH_SCAN
has the same
effect as specifying
INDEX_SCAN,TABLE_SCAN,HASH_SCAN
,
which is allowed.
Do not use the combination
TABLE_SCAN,HASH_SCAN
. This setting
forces hashing for all searches. It has no advantage
over INDEX_SCAN,HASH_SCAN
, and it can
lead to “record not found” errors or
duplicate key errors in the case of a single event
containing multiple updates to the same row, or updates
that are order-dependent.
The order in which the algorithms are specified in the list
makes no difference to the order in which they are displayed
by a SELECT
or
SHOW VARIABLES
statement.
It is possible to specify a single value, but this is not
optimal, because setting a single value limits searches to
using only that algorithm. In particular, setting
INDEX_SCAN
alone is not recommended, as
in that case searches are unable to find rows at all if no
index is present.
Property | Value |
---|---|
Command-Line Format | --slave-skip-errors=name |
System Variable | slave_skip_errors |
Scope | Global |
Dynamic | No |
Type | String |
Default Value | OFF |
Valid Values |
|
Normally, replication stops when an error occurs on the slave, which gives you the opportunity to resolve the inconsistency in the data manually. This variable causes the slave SQL thread to continue replication when a statement returns any of the errors listed in the variable value.
Property | Value |
---|---|
Command-Line Format | --slave-sql-verify-checksum[={OFF|ON}] |
System Variable | slave_sql_verify_checksum |
Scope | Global |
Dynamic | Yes |
Type | Boolean |
Default Value | ON |
Cause the slave SQL thread to verify data using the checksums read from the relay log. In the event of a mismatch, the slave stops with an error. Setting this variable takes effect for all replication channels immediately, including running channels.
The slave I/O thread always reads checksums if possible when accepting events from over the network.
Property | Value |
---|---|
Command-Line Format | --slave-transaction-retries=# |
System Variable | slave_transaction_retries |
Scope | Global |
Dynamic | Yes |
Type | Integer |
Default Value | 10 |
Minimum Value | 0 |
Maximum Value (64-bit platforms) | 18446744073709551615 |
Maximum Value (32-bit platforms) | 4294967295 |
If a replication slave SQL thread fails to execute a
transaction because of an
InnoDB
deadlock or because the
transaction's execution time exceeded
InnoDB
's
innodb_lock_wait_timeout
or
NDB
's
TransactionDeadlockDetectionTimeout
or
TransactionInactiveTimeout
,
it automatically retries
slave_transaction_retries
times before stopping with an error. Transactions with a
non-temporary error are not retried.
The default value for
slave_transaction_retries
is 10. Setting the variable to 0 disables automatic retrying
of transactions. Setting the variable takes effect for all
replication channels immediately, including running
channels.
As of MySQL 5.7.5, retrying of transactions is supported
when multithreading is enabled on a slave. In previous
versions,
slave_transaction_retries
was treated as equal to 0 when using multithreaded slaves.
The Performance Schema table
replication_applier_status
shows the number of retries that took place on each
replication channel, in the
COUNT_TRANSACTIONS_RETRIES
column.
Property | Value |
---|---|
Command-Line Format | --slave-type-conversions=set |
System Variable | slave_type_conversions |
Scope | Global |
Dynamic | No |
Type | Set |
Default Value |
|
Valid Values |
|
Controls the type conversion mode in effect on the slave
when using row-based replication. In MySQL 5.7.2 and higher,
its value is a comma-delimited set of zero or more elements
from the list: ALL_LOSSY
,
ALL_NON_LOSSY
,
ALL_SIGNED
,
ALL_UNSIGNED
. Set this variable to an
empty string to disallow type conversions between the master
and the slave. Setting this variable takes effect for all
replication channels immediately, including running
channels.
ALL_SIGNED
and
ALL_UNSIGNED
were added in MySQL 5.7.2
(Bug#15831300). For additional information on type
conversion modes applicable to attribute promotion and
demotion in row-based replication, see
Row-based replication: attribute promotion and demotion.
Property | Value |
---|---|
System Variable | sql_slave_skip_counter |
Scope | Global |
Dynamic | Yes |
Type | Integer |
The number of events from the master that a slave server
should skip. Setting the option has no immediate effect. The
variable applies to the next START
SLAVE
statement; the next
START SLAVE
statement also
changes the value back to 0. When this variable is set to a
nonzero value and there are multiple replication channels
configured, the START SLAVE
statement can only be used with the FOR CHANNEL
clause.
channel
This option is incompatible with GTID-based replication, and
must not be set to a nonzero value when
gtid_mode=ON
. If you need
to skip transactions when employing GTIDs, use
gtid_executed
from the
master instead. See
Injecting empty transactions, for
information about how to do this.
If skipping the number of events specified by setting this variable would cause the slave to begin in the middle of an event group, the slave continues to skip until it finds the beginning of the next event group and begins from that point. For more information, see Section 13.4.2.5, “SET GLOBAL sql_slave_skip_counter Statement”.
Property | Value |
---|---|
Command-Line Format | --sync-master-info=# |
System Variable | sync_master_info |
Scope | Global |
Dynamic | Yes |
Type | Integer |
Default Value | 10000 |
Minimum Value | 0 |
Maximum Value (64-bit platforms) | 18446744073709551615 |
Maximum Value (32-bit platforms) | 4294967295 |
The effects of this variable on a replication slave depend
on whether the slave's
master_info_repository
is
set to FILE
or TABLE
,
as explained in the following paragraphs.
master_info_repository = FILE.
If the value of sync_master_info
is
greater than 0, the slave synchronizes its
master.info
file to disk (using
fdatasync()
) after every
sync_master_info
events. If it is 0,
the MySQL server performs no synchronization of the
master.info
file to disk; instead,
the server relies on the operating system to flush its
contents periodically as with any other file.
master_info_repository = TABLE.
If the value of sync_master_info
is
greater than 0, the slave updates its master info
repository table after every
sync_master_info
events. If it is 0,
the table is never updated.
The default value for sync_master_info
is
10000. Setting this variable takes effect for all
replication channels immediately, including running
channels.
Property | Value |
---|---|
Command-Line Format | --sync-relay-log=# |
System Variable | sync_relay_log |
Scope | Global |
Dynamic | Yes |
Type | Integer |
Default Value | 10000 |
Minimum Value | 0 |
Maximum Value (64-bit platforms) | 18446744073709551615 |
Maximum Value (32-bit platforms) | 4294967295 |
If the value of this variable is greater than 0, the MySQL
server synchronizes its relay log to disk (using
fdatasync()
) after every
sync_relay_log
events are written to the
relay log. Setting this variable takes effect for all
replication channels immediately, including running
channels.
Setting sync_relay_log
to 0 causes no
synchronization to be done to disk; in this case, the server
relies on the operating system to flush the relay log's
contents from time to time as for any other file.
A value of 1 is the safest choice because in the event of a crash you lose at most one event from the relay log. However, it is also the slowest choice (unless the disk has a battery-backed cache, which makes synchronization very fast).
Property | Value |
---|---|
Command-Line Format | --sync-relay-log-info=# |
System Variable | sync_relay_log_info |
Scope | Global |
Dynamic | Yes |
Type | Integer |
Default Value | 10000 |
Minimum Value | 0 |
Maximum Value (64-bit platforms) | 18446744073709551615 |
Maximum Value (32-bit platforms) | 4294967295 |
The default value for sync_relay_log_info
is 10000. Setting this variable takes effect for all
replication channels immediately, including running
channels.
The effects of this variable on the replication slave depend
on the server's
relay_log_info_repository
setting (FILE
or
TABLE
). If the setting is
TABLE
, the effects of the variable also
depend on whether the storage engine used by the relay log
info table is transactional (such as
InnoDB
) or not transactional
(MyISAM
). The effects of these
factors on the behavior of the server for
sync_relay_log_info
values of zero and
greater than zero are as follows:
sync_relay_log_info = 0
If
relay_log_info_repository
is set to FILE
, the MySQL
server performs no synchronization of the
relay-log.info
file to disk;
instead, the server relies on the operating system
to flush its contents periodically as with any
other file.
If
relay_log_info_repository
is set to TABLE
, and the
storage engine for that table is transactional,
the table is updated after each transaction. (The
sync_relay_log_info
setting is
effectively ignored in this case.)
If
relay_log_info_repository
is set to TABLE
, and the
storage engine for that table is not
transactional, the table is never updated.
sync_relay_log_info =
N
> 0
If
relay_log_info_repository
is set to FILE
, the slave
synchronizes its
relay-log.info
file to disk
(using fdatasync()
) after every
N
transactions.
If
relay_log_info_repository
is set to TABLE
, and the
storage engine for that table is transactional,
the table is updated after each transaction. (The
sync_relay_log_info
setting is
effectively ignored in this case.)
If
relay_log_info_repository
is set to TABLE
, and the
storage engine for that table is not
transactional, the table is updated after every
N
events.
You can use the mysqld options and system variables that are described in this section to affect the operation of the binary log as well as to control which statements are written to the binary log. For additional information about the binary log, see Section 5.4.4, “The Binary Log”. For additional information about using MySQL server options and system variables, see Section 5.1.6, “Server Command Options”, and Section 5.1.7, “Server System Variables”.
The following list describes startup options for enabling and configuring the binary log. System variables used with binary logging are discussed later in this section.
Property | Value |
---|---|
Command-Line Format | --binlog-row-event-max-size=# |
Type | Integer |
Default Value | 8192 |
Minimum Value | 256 |
Maximum Value (64-bit platforms) | 18446744073709551615 |
Maximum Value (32-bit platforms) | 4294967295 |
Specify the maximum size of a row-based binary log event, in bytes. Rows are grouped into events smaller than this size if possible. The value should be a multiple of 256. The default is 8192. See Section 16.2.1, “Replication Formats”.
Property | Value |
---|---|
Command-Line Format | --log-bin=file_name |
Type | File name |
Enables binary logging. With binary logging enabled, the server logs all statements that change data to the binary log, which is used for backup and replication. The binary log is a sequence of files with a base name and numeric extension. For information on the format and management of the binary log, see Section 5.4.4, “The Binary Log”.
If you supply a value for the --log-bin
option, the value is used as the base name for the log
sequence. The server creates binary log files in sequence by
adding a numeric suffix to the base name. In MySQL 5.7, the
base name defaults to
,
using the name of the host machine. It is recommended that
you specify a base name, so that you can continue to use the
same binary log file names regardless of changes to the
default name.
host_name
-bin
The default location for binary log files is the data
directory. You can use the --log-bin
option
to specify an alternative location, by adding a leading
absolute path name to the base name to specify a different
directory. When the server reads an entry from the binary
log index file, which tracks the binary log files that have
been used, it checks whether the entry contains a relative
path. If it does, the relative part of the path is replaced
with the absolute path set using the
--log-bin
option. An absolute path recorded
in the binary log index file remains unchanged; in such a
case, the index file must be edited manually to enable a new
path or paths to be used. (In older versions of MySQL,
manual intervention was required whenever relocating the
binary log or relay log files.) (Bug #11745230, Bug #12133)
Setting this option causes the
log_bin
system variable to
be set to ON
(or 1
),
and not to the base name. The binary log file base name and
any specified path are available as the
log_bin_basename
system
variable.
If you specify the --log-bin
option without
also specifying the
server_id
system variable,
the server is not allowed to start. (Bug #11763963, Bug
#56739)
When GTIDs are in use on the server, if binary logging is
not enabled when restarting the server after an abnormal
shutdown, some GTIDs are likely to be lost, causing
replication to fail. In a normal shutdown, the set of GTIDs
from the current binary log file is saved in the
mysql.gtid_executed
table. Following an
abnormal shutdown where this did not happen, during recovery
the GTIDs are added to the table from the binary log file,
provided that binary logging is still enabled. If binary
logging is disabled for the server restart, the server
cannot access the binary log file to recover the GTIDs, so
replication cannot be started. Binary logging can be
disabled safely after a normal shutdown.
Property | Value |
---|---|
Command-Line Format | --log-bin-index=file_name |
System Variable | log_bin_index |
Scope | Global |
Dynamic | No |
Type | File name |
The name for the binary log index file, which contains the
names of the binary log files. By default, it has the same
location and base name as the value specified for the binary
log files using the --log-bin
option, plus the extension .index
. If
you do not specify --log-bin
,
the default binary log index file name is
binlog.index
. If you omit the file name
and do not specify one with
--log-bin
, the default binary
log index file name is
,
using the name of the host machine.
host_name
-bin.index
For information on the format and management of the binary log, see Section 5.4.4, “The Binary Log”.
Statement selection options. The options in the following list affect which statements are written to the binary log, and thus sent by a replication master server to its slaves. There are also options for slave servers that control which statements received from the master should be executed or ignored. For details, see Section 16.1.6.3, “Replication Slave Options and Variables”.
Property | Value |
---|---|
Command-Line Format | --binlog-do-db=name |
Type | String |
This option affects binary logging in a manner similar to
the way that
--replicate-do-db
affects
replication.
The effects of this option depend on whether the
statement-based or row-based logging format is in use, in
the same way that the effects of
--replicate-do-db
depend on
whether statement-based or row-based replication is in use.
You should keep in mind that the format used to log a given
statement may not necessarily be the same as that indicated
by the value of
binlog_format
. For example,
DDL statements such as CREATE
TABLE
and ALTER
TABLE
are always logged as statements, without
regard to the logging format in effect, so the following
statement-based rules for --binlog-do-db
always apply in determining whether or not the statement is
logged.
Statement-based logging.
Only those statements are written to the binary log where
the default database (that is, the one selected by
USE
) is
db_name
. To specify more than
one database, use this option multiple times, once for
each database; however, doing so does
not cause cross-database statements
such as UPDATE
to be logged while a different
database (or no database) is selected.
some_db.some_table
SET
foo='bar'
To specify multiple databases you must use multiple instances of this option. Because database names can contain commas, the list will be treated as the name of a single database if you supply a comma-separated list.
An example of what does not work as you might expect when
using statement-based logging: If the server is started with
--binlog-do-db=sales
and you
issue the following statements, the
UPDATE
statement is
not logged:
USE prices; UPDATE sales.january SET amount=amount+1000;
The main reason for this “just check the default
database” behavior is that it is difficult from the
statement alone to know whether it should be replicated (for
example, if you are using multiple-table
DELETE
statements or
multiple-table UPDATE
statements that act across multiple databases). It is also
faster to check only the default database rather than all
databases if there is no need.
Another case which may not be self-evident occurs when a
given database is replicated even though it was not
specified when setting the option. If the server is started
with --binlog-do-db=sales
, the following
UPDATE
statement is logged
even though prices
was not included when
setting --binlog-do-db
:
USE sales; UPDATE prices.discounts SET percentage = percentage + 10;
Because sales
is the default database
when the UPDATE
statement is
issued, the UPDATE
is logged.
Row-based logging.
Logging is restricted to database
db_name
. Only changes to tables
belonging to db_name
are
logged; the default database has no effect on this.
Suppose that the server is started with
--binlog-do-db=sales
and
row-based logging is in effect, and then the following
statements are executed:
USE prices; UPDATE sales.february SET amount=amount+100;
The changes to the february
table in the
sales
database are logged in accordance
with the UPDATE
statement;
this occurs whether or not the
USE
statement was issued.
However, when using the row-based logging format and
--binlog-do-db=sales
, changes
made by the following UPDATE
are not logged:
USE prices; UPDATE prices.march SET amount=amount-25;
Even if the USE prices
statement were
changed to USE sales
, the
UPDATE
statement's
effects would still not be written to the binary log.
Another important difference in
--binlog-do-db
handling for
statement-based logging as opposed to the row-based logging
occurs with regard to statements that refer to multiple
databases. Suppose that the server is started with
--binlog-do-db=db1
, and the
following statements are executed:
USE db1; UPDATE db1.table1 SET col1 = 10, db2.table2 SET col2 = 20;
If you are using statement-based logging, the updates to
both tables are written to the binary log. However, when
using the row-based format, only the changes to
table1
are logged;
table2
is in a different database, so it
is not changed by the UPDATE
.
Now suppose that, instead of the USE db1
statement, a USE db4
statement had been
used:
USE db4; UPDATE db1.table1 SET col1 = 10, db2.table2 SET col2 = 20;
In this case, the UPDATE
statement is not written to the binary log when using
statement-based logging. However, when using row-based
logging, the change to table1
is logged,
but not that to table2
—in other
words, only changes to tables in the database named by
--binlog-do-db
are logged,
and the choice of default database has no effect on this
behavior.
Property | Value |
---|---|
Command-Line Format | --binlog-ignore-db=name |
Type | String |
This option affects binary logging in a manner similar to
the way that
--replicate-ignore-db
affects
replication.
The effects of this option depend on whether the
statement-based or row-based logging format is in use, in
the same way that the effects of
--replicate-ignore-db
depend
on whether statement-based or row-based replication is in
use. You should keep in mind that the format used to log a
given statement may not necessarily be the same as that
indicated by the value of
binlog_format
. For example,
DDL statements such as CREATE
TABLE
and ALTER
TABLE
are always logged as statements, without
regard to the logging format in effect, so the following
statement-based rules for
--binlog-ignore-db
always apply in
determining whether or not the statement is logged.
Statement-based logging.
Tells the server to not log any statement where the
default database (that is, the one selected by
USE
) is
db_name
.
Prior to MySQL 5.7.2, this option caused any statements
containing fully qualified table names not to be logged if
there was no default database specified (that is, when
SELECT
DATABASE()
returned
NULL
). In MySQL 5.7.2 and higher, when
there is no default database, no
--binlog-ignore-db
options are applied, and
such statements are always logged. (Bug #11829838, Bug
#60188)
Row-based format.
Tells the server not to log updates to any tables in the
database db_name
. The current
database has no effect.
When using statement-based logging, the following example
does not work as you might expect. Suppose that the server
is started with
--binlog-ignore-db=sales
and
you issue the following statements:
USE prices; UPDATE sales.january SET amount=amount+1000;
The UPDATE
statement
is logged in such a case because
--binlog-ignore-db
applies
only to the default database (determined by the
USE
statement). Because the
sales
database was specified explicitly
in the statement, the statement has not been filtered.
However, when using row-based logging, the
UPDATE
statement's
effects are not written to the binary
log, which means that no changes to the
sales.january
table are logged; in this
instance,
--binlog-ignore-db=sales
causes all changes made to tables in
the master's copy of the sales
database to be ignored for purposes of binary logging.
To specify more than one database to ignore, use this option multiple times, once for each database. Because database names can contain commas, the list will be treated as the name of a single database if you supply a comma-separated list.
You should not use this option if you are using cross-database updates and you do not want these updates to be logged.
Checksum options. MySQL supports reading and writing of binary log checksums. These are enabled using the two options listed here:
--binlog-checksum={NONE|CRC32}
Property | Value |
---|---|
Command-Line Format | --binlog-checksum=type |
Type | String |
Default Value | CRC32 |
Valid Values |
|
Enabling this option causes the master to write checksums
for events written to the binary log. Set to
NONE
to disable, or the name of the
algorithm to be used for generating checksums; currently,
only CRC32 checksums are supported, and CRC32 is the
default. You cannot change the setting for this option
within a transaction.
To control reading of checksums by the slave (from the relay
log), use the
--slave-sql-verify-checksum
option.
Testing and debugging options. The following binary log options are used in replication testing and debugging. They are not intended for use in normal operations.
Property | Value |
---|---|
Command-Line Format | --max-binlog-dump-events=# |
Type | Integer |
Default Value | 0 |
This option is used internally by the MySQL test suite for replication testing and debugging.
Property | Value |
---|---|
Command-Line Format | --sporadic-binlog-dump-fail[={OFF|ON}] |
Type | Boolean |
Default Value | OFF |
This option is used internally by the MySQL test suite for replication testing and debugging.
The following list describes system variables for controlling
binary logging. They can be set at server startup and some of
them can be changed at runtime using
SET
.
Server options used to control binary logging are listed earlier
in this section.
Property | Value |
---|---|
Command-Line Format | --binlog-cache-size=# |
System Variable | binlog_cache_size |
Scope | Global |
Dynamic | Yes |
Type | Integer |
Default Value | 32768 |
Minimum Value | 4096 |
Maximum Value (64-bit platforms) | 18446744073709551615 |
Maximum Value (32-bit platforms) | 4294967295 |
The size of the cache to hold changes to the binary log
during a transaction. A binary log cache is allocated for
each client if the server supports any transactional storage
engines and if the server has the binary log enabled
(--log-bin
option). If you
often use large transactions, you can increase this cache
size to get better performance. The
Binlog_cache_use
and
Binlog_cache_disk_use
status variables can be useful for tuning the size of this
variable. See Section 5.4.4, “The Binary Log”.
binlog_cache_size
sets the size for the
transaction cache only; the size of the statement cache is
governed by the
binlog_stmt_cache_size
system variable.
Property | Value |
---|---|
Command-Line Format | --binlog-checksum=name |
System Variable | binlog_checksum |
Scope | Global |
Dynamic | Yes |
Type | String |
Default Value | CRC32 |
Valid Values |
|
When enabled, this variable causes the master to write a
checksum for each event in the binary log.
binlog_checksum
supports the values
NONE
(disabled) and
CRC32
. The default is
CRC32
. You cannot change the value of
binlog_checksum
within a transaction.
When binlog_checksum
is disabled (value
NONE
), the server verifies that it is
writing only complete events to the binary log by writing
and checking the event length (rather than a checksum) for
each event.
Changing the value of this variable causes the binary log to be rotated; checksums are always written to an entire binary log file, and never to only part of one.
Setting this variable on the master to a value unrecognized
by the slave causes the slave to set its own
binlog_checksum
value to
NONE
, and to stop replication with an
error. (Bug #13553750, Bug #61096) If backward compatibility
with older slaves is a concern, you may want to set the
value explicitly to NONE
.
binlog_direct_non_transactional_updates
Property | Value |
---|---|
Command-Line Format | --binlog-direct-non-transactional-updates[={OFF|ON}] |
System Variable | binlog_direct_non_transactional_updates |
Scope | Global, Session |
Dynamic | Yes |
Type | Boolean |
Default Value | OFF |
Due to concurrency issues, a slave can become inconsistent when a transaction contains updates to both transactional and nontransactional tables. MySQL tries to preserve causality among these statements by writing nontransactional statements to the transaction cache, which is flushed upon commit. However, problems arise when modifications done to nontransactional tables on behalf of a transaction become immediately visible to other connections because these changes may not be written immediately into the binary log.
The
binlog_direct_non_transactional_updates
variable offers one possible workaround to this issue. By
default, this variable is disabled. Enabling
binlog_direct_non_transactional_updates
causes updates to nontransactional tables to be written
directly to the binary log, rather than to the transaction
cache.
binlog_direct_non_transactional_updates
works only for statements that are replicated using the
statement-based binary logging format; that is,
it works only when the value of
binlog_format
is
STATEMENT
, or when
binlog_format
is
MIXED
and a given statement is being
replicated using the statement-based format. This variable
has no effect when the binary log format is
ROW
, or when
binlog_format
is set to
MIXED
and a given statement is replicated
using the row-based format.
Before enabling this variable, you must make certain that
there are no dependencies between transactional and
nontransactional tables; an example of such a dependency
would be the statement INSERT INTO myisam_table
SELECT * FROM innodb_table
. Otherwise, such
statements are likely to cause the slave to diverge from
the master.
This variable has no effect when the binary log format is
ROW
or MIXED
.
Property | Value |
---|---|
Command-Line Format | --binlog-error-action[=value] |
System Variable | binlog_error_action |
Scope | Global |
Dynamic | Yes |
Type | Enumeration |
Default Value | ABORT_SERVER |
Valid Values |
|
Controls what happens when the server encounters an error such as not being able to write to, flush or synchronize the binary log, which can cause the master's binary log to become inconsistent and replication slaves to lose synchronization.
In MySQL 5.7.7 and higher, this variable defaults to
ABORT_SERVER
, which makes the server halt
logging and shut down whenever it encounters such an error
with the binary log. On restart, recovery proceeds as in the
case of an unexpected server halt (see
Section 16.3.2, “Handling an Unexpected Halt of a Replication Slave”).
When binlog_error_action
is set to
IGNORE_ERROR
, if the server encounters
such an error it continues the ongoing transaction, logs the
error then halts logging, and continues performing updates.
To resume binary logging
log_bin
must be enabled
again, which requires a server restart. This setting
provides backward compatibility with older versions of
MySQL.
In previous releases this variable was named
binlogging_impossible_mode
.
Property | Value |
---|---|
Command-Line Format | --binlog-format=format |
System Variable | binlog_format |
Scope | Global, Session |
Dynamic | Yes |
Type | Enumeration |
Default Value | ROW |
Valid Values |
|
This variable sets the binary logging format, and can be any
one of STATEMENT
, ROW
,
or MIXED
. See
Section 16.2.1, “Replication Formats”.
binlog_format
can be set at
startup or at runtime, except that under some conditions,
changing this variable at runtime is not possible or causes
replication to fail, as described later.
Prior to MySQL 5.7.7, the default format was
STATEMENT
. In MySQL 5.7.7 and higher, the
default is ROW
.
Exception: In NDB Cluster, the default
is MIXED
; statement-based replication is
not supported for NDB Cluster.
Setting the session value of this system variable is a restricted operation. The session user must have privileges sufficient to set restricted session variables. See Section 5.1.8.1, “System Variable Privileges”.
The rules governing when changes to this variable take effect and how long the effect lasts are the same as for other MySQL server system variables. For more information, see Section 13.7.4.1, “SET Syntax for Variable Assignment”.
When MIXED
is specified, statement-based
replication is used, except for cases where only row-based
replication is guaranteed to lead to proper results. For
example, this happens when statements contain user-defined
functions (UDF) or the UUID()
function.
For details of how stored programs (stored procedures and functions, triggers, and events) are handled when each binary logging format is set, see Section 23.7, “Stored Program Binary Logging”.
There are exceptions when you cannot switch the replication format at runtime:
From within a stored function or a trigger.
If the session is currently in row-based replication mode and has open temporary tables.
From within a transaction.
Trying to switch the format in those cases results in an error.
Changing the logging format on a replication master does not
cause a replication slave to change its logging format to
match. Switching the replication format while replication is
ongoing can cause issues if a replication slave has binary
logging enabled, and the change results in the slave using
STATEMENT
format logging while the master
is using ROW
or MIXED
format logging. A replication slave is not able to convert
binary log entries received in ROW
logging format to STATEMENT
format for
use in its own binary log, so this situation can cause
replication to fail. For more information, see
Section 5.4.4.2, “Setting The Binary Log Format”.
The binary log format affects the behavior of the following server options:
These effects are discussed in detail in the descriptions of the individual options.
binlog_group_commit_sync_delay
Property | Value |
---|---|
Command-Line Format | --binlog-group-commit-sync-delay=# |
System Variable | binlog_group_commit_sync_delay |
Scope | Global |
Dynamic | Yes |
Type | Integer |
Default Value | 0 |
Minimum Value | 0 |
Maximum Value | 1000000 |
Controls how many microseconds the binary log commit waits
before synchronizing the binary log file to disk. By default
binlog_group_commit_sync_delay
is set to 0, meaning that there is no delay. Setting
binlog_group_commit_sync_delay
to a microsecond delay enables more transactions to be
synchronized together to disk at once, reducing the overall
time to commit a group of transactions because the larger
groups require fewer time units per group.
When sync_binlog=0
or
sync_binlog=1
is set, the
delay specified by
binlog_group_commit_sync_delay
is applied for every binary log commit group before
synchronization (or in the case of
sync_binlog=0
, before
proceeding). When
sync_binlog
is set to a
value n greater than 1, the delay is
applied after every n binary log commit
groups.
Setting
binlog_group_commit_sync_delay
can increase the number of parallel committing transactions
on any server that has (or might have after a failover) a
replication slave, and therefore can increase parallel
execution on the replication slaves. To benefit from this
effect, the slave servers must have
slave_parallel_type=LOGICAL_CLOCK
set, and the effect is more significant when
binlog_transaction_dependency_tracking=COMMIT_ORDER
is also set. It is important to take into account both the
master's throughput and the slaves' throughput when you are
tuning the setting for
binlog_group_commit_sync_delay
.
Setting
binlog_group_commit_sync_delay
can also reduce the number of fsync()
calls to the binary log on any server (master or slave) that
has a binary log.
Note that setting
binlog_group_commit_sync_delay
increases the latency of transactions on the server, which
might affect client applications. Also, on highly concurrent
workloads, it is possible for the delay to increase
contention and therefore reduce throughput. Typically, the
benefits of setting a delay outweigh the drawbacks, but
tuning should always be carried out to determine the optimal
setting.
binlog_group_commit_sync_no_delay_count
Property | Value |
---|---|
Command-Line Format | --binlog-group-commit-sync-no-delay-count=# |
System Variable | binlog_group_commit_sync_no_delay_count |
Scope | Global |
Dynamic | Yes |
Type | Integer |
Default Value | 0 |
Minimum Value | 0 |
Maximum Value | 1000000 |
The maximum number of transactions to wait for before
aborting the current delay as specified by
binlog_group_commit_sync_delay
.
If
binlog_group_commit_sync_delay
is set to 0, then this option has no effect.
Property | Value |
---|---|
Command-Line Format | --binlog-max-flush-queue-time=# |
Deprecated | Yes |
System Variable | binlog_max_flush_queue_time |
Scope | Global |
Dynamic | Yes |
Type | Integer |
Default Value | 0 |
Minimum Value | 0 |
Maximum Value | 100000 |
Formerly, this controlled the time in microseconds to continue reading transactions from the flush queue before proceeding with group commit. In MySQL 5.7, this variable no longer has any effect.
binlog_max_flush_queue_time
is deprecated
as of MySQL 5.7.9, and is marked for eventual removal in a
future MySQL release.
Property | Value |
---|---|
Command-Line Format | --binlog-order-commits[={OFF|ON}] |
System Variable | binlog_order_commits |
Scope | Global |
Dynamic | Yes |
Type | Boolean |
Default Value | ON |
When this variable is enabled on a replication master (which is the default), transaction commit instructions issued to storage engines are serialized on a single thread, so that transactions are always committed in the same order as they are written to the binary log. Disabling this variable permits transaction commit instructions to be issued using multiple threads. Used in combination with binary log group commit, this prevents the commit rate of a single transaction being a bottleneck to throughput, and might therefore produce a performance improvement.
Transactions are written to the binary log at the point when
all the storage engines involved have confirmed that the
transaction is prepared to commit. The binary log group
commit logic then commits a group of transactions after
their binary log write has taken place. When
binlog_order_commits
is
disabled, because multiple threads are used for this
process, transactions in a commit group might be committed
in a different order from their order in the binary log.
(Transactions from a single client always commit in
chronological order.) In many cases this does not matter, as
operations carried out in separate transactions should
produce consistent results, and if that is not the case, a
single transaction ought to be used instead.
If you want to ensure that the transaction history on the
master and on a multithreaded replication slave remains
identical, set
slave_preserve_commit_order=1
on the replication slave.
Property | Value |
---|---|
Command-Line Format | --binlog-row-image=image_type |
System Variable | binlog_row_image |
Scope | Global, Session |
Dynamic | Yes |
Type | Enumeration |
Default Value | full |
Valid Values |
|
For MySQL row-based replication, this variable determines how row images are written to the binary log.
In MySQL row-based replication, each row change event contains two images, a “before” image whose columns are matched against when searching for the row to be updated, and an “after” image containing the changes. Normally, MySQL logs full rows (that is, all columns) for both the before and after images. However, it is not strictly necessary to include every column in both images, and we can often save disk, memory, and network usage by logging only those columns which are actually required.
When deleting a row, only the before image is logged, since there are no changed values to propagate following the deletion. When inserting a row, only the after image is logged, since there is no existing row to be matched. Only when updating a row are both the before and after images required, and both written to the binary log.
For the before image, it is necessary only that the minimum
set of columns required to uniquely identify rows is logged.
If the table containing the row has a primary key, then only
the primary key column or columns are written to the binary
log. Otherwise, if the table has a unique key all of whose
columns are NOT NULL
, then only the
columns in the unique key need be logged. (If the table has
neither a primary key nor a unique key without any
NULL
columns, then all columns must be
used in the before image, and logged.) In the after image,
it is necessary to log only the columns which have actually
changed.
You can cause the server to log full or minimal rows using
the binlog_row_image
system variable.
This variable actually takes one of three possible values,
as shown in the following list:
full
: Log all columns in both the
before image and the after image.
minimal
: Log only those columns in
the before image that are required to identify the row
to be changed; log only those columns in the after image
where a value was specified by the SQL statement, or
generated by auto-increment.
noblob
: Log all columns (same as
full
), except for
BLOB
and
TEXT
columns that are not
required to identify rows, or that have not changed.
This variable is not supported by NDB Cluster; setting it
has no effect on the logging of
NDB
tables.
The default value is full
.
When using minimal
or
noblob
, deletes and updates are
guaranteed to work correctly for a given table if and only
if the following conditions are true for both the source and
destination tables:
All columns must be present and in the same order; each column must use the same data type as its counterpart in the other table.
The tables must have identical primary key definitions.
(In other words, the tables must be identical with the possible exception of indexes that are not part of the tables' primary keys.)
If these conditions are not met, it is possible that the primary key column values in the destination table may prove insufficient to provide a unique match for a delete or update. In this event, no warning or error is issued; the master and slave silently diverge, thus breaking consistency.
Setting this variable has no effect when the binary logging
format is STATEMENT
. When
binlog_format
is
MIXED
, the setting for
binlog_row_image
is applied to changes
that are logged using row-based format, but this setting no
effect on changes logged as statements.
Setting binlog_row_image
on either the
global or session level does not cause an implicit commit;
this means that this variable can be changed while a
transaction is in progress without affecting the
transaction.
Property | Value |
---|---|
Command-Line Format | --binlog-rows-query-log-events[={OFF|ON}] |
System Variable | binlog_rows_query_log_events |
Scope | Global, Session |
Dynamic | Yes |
Type | Boolean |
Default Value | OFF |
This system variable affects row-based logging only. When enabled, it causes the server to write informational log events such as row query log events into its binary log. This information can be used for debugging and related purposes, such as obtaining the original query issued on the master when it cannot be reconstructed from the row updates.
These informational events are normally ignored by MySQL
programs reading the binary log and so cause no issues when
replicating or restoring from backup. To view them, increase
the verbosity level by using mysqlbinlog's
--verbose
option twice,
either as -vv
or --verbose
--verbose
.
Property | Value |
---|---|
Command-Line Format | --binlog-stmt-cache-size=# |
System Variable | binlog_stmt_cache_size |
Scope | Global |
Dynamic | Yes |
Type | Integer |
Default Value | 32768 |
Minimum Value | 4096 |
Maximum Value (64-bit platforms) | 18446744073709551615 |
Maximum Value (32-bit platforms) | 4294967295 |
This variable determines the size of the cache for the
binary log to hold nontransactional statements issued during
a transaction. Separate binary log transaction and statement
caches are allocated for each client if the server supports
any transactional storage engines and if the server has the
binary log enabled (--log-bin
option). If you often use large nontransactional statements
during transactions, you can increase this cache size to get
better performance. The
Binlog_stmt_cache_use
and
Binlog_stmt_cache_disk_use
status variables can be useful for tuning the size of this
variable. See Section 5.4.4, “The Binary Log”.
The binlog_cache_size
system variable sets the size for the transaction cache.
binlog_transaction_dependency_tracking
Property | Value |
---|---|
Command-Line Format | --binlog-transaction-dependency-tracking=value |
Introduced | 5.7.22 |
System Variable | binlog_transaction_dependency_tracking |
Scope | Global |
Dynamic | Yes |
Type | Enumeration |
Default Value | COMMIT_ORDER |
Valid Values |
|
The source of dependency information that the master uses to determine which transactions can be executed in parallel by the slave's multithreaded applier. This variable can take one of the three values described in the following list:
COMMIT_ORDER
: Dependency information
is generated from the master's commit timestamps.
This is the default. This mode is also used for any
transactions without write sets, even if this
variable's is WRITESET
or
WRITESET_SESSION
; this is also the
case for transactions updating tables without primary
keys and transactions updating tables having foreign key
constraints.
WRITESET
: Dependency information is
generated from the master's write set, and any
transactions which write different tuples can be
parallelized.
WRITESET_SESSION
: Dependency
information is generated from the master's write
set, but no two updates from the same session can be
reordered.
WRITESET
and
WRITESET_SESSION
modes do not deliver any
transaction dependencies that are newer than those that
would have been returned in COMMIT_ORDER
mode.
The value of this variable cannot be set to anything other
than COMMIT_ORDER
if
transaction_write_set_extraction
is OFF
. You should also note that the
value of transaction_write_set_extraction
cannot be changed if the current value of
binlog_transaction_dependency_tracking
is
WRITESET
or
WRITESET_SESSION
.
The number of row hashes to be kept and checked for the
latest transaction to have changed a given row is determined
by the value of
binlog_transaction_dependency_history_size
.
binlog_transaction_dependency_history_size
Property | Value |
---|---|
Command-Line Format | --binlog-transaction-dependency-history-size=# |
Introduced | 5.7.22 |
System Variable | binlog_transaction_dependency_history_size |
Scope | Global |
Dynamic | Yes |
Type | Integer |
Default Value | 25000 |
Minimum Value | 1 |
Maximum Value | 1000000 |
Sets an upper limit on the number of row hashes which are kept in memory and used for looking up the transaction that last modified a given row. Once this number of hashes has been reached, the history is purged.
Property | Value |
---|---|
Command-Line Format | --expire-logs-days=# |
System Variable | expire_logs_days |
Scope | Global |
Dynamic | Yes |
Type | Integer |
Default Value | 0 |
Minimum Value | 0 |
Maximum Value | 99 |
The number of days for automatic binary log file removal. The default is 0, which means “no automatic removal.” Possible removals happen at startup and when the binary log is flushed. Log flushing occurs as indicated in Section 5.4, “MySQL Server Logs”.
To remove binary log files manually, use the
PURGE BINARY LOGS
statement.
See Section 13.4.1.1, “PURGE BINARY LOGS Statement”.
Property | Value |
---|---|
System Variable | log_bin |
Scope | Global |
Dynamic | No |
Type | Boolean |
Whether the binary log is enabled. If the
--log-bin
option is used,
then the value of this variable is ON
;
otherwise it is OFF
. This variable
reports only on the status of binary logging (enabled or
disabled); it does not actually report the value to which
--log-bin
is set.
Property | Value |
---|---|
System Variable | log_bin_basename |
Scope | Global |
Dynamic | No |
Type | File name |
Holds the base name and path for the binary log files, which
can be set with the --log-bin
server option. In MySQL 5.7, the default base name is the
name of the host machine with the suffix
-bin
. The default location is the data
directory.
Property | Value |
---|---|
Command-Line Format | --log-bin-index=file_name |
System Variable | log_bin_index |
Scope | Global |
Dynamic | No |
Type | File name |
Holds the base name and path for the binary log index file,
which can be set with the
--log-bin-index
server
option.
log_bin_trust_function_creators
Property | Value |
---|---|
Command-Line Format | --log-bin-trust-function-creators[={OFF|ON}] |
System Variable | log_bin_trust_function_creators |
Scope | Global |
Dynamic | Yes |
Type | Boolean |
Default Value | OFF |
This variable applies when binary logging is enabled. It
controls whether stored function creators can be trusted not
to create stored functions that will cause unsafe events to
be written to the binary log. If set to 0 (the default),
users are not permitted to create or alter stored functions
unless they have the SUPER
privilege in addition to the CREATE
ROUTINE
or ALTER
ROUTINE
privilege. A setting of 0 also enforces
the restriction that a function must be declared with the
DETERMINISTIC
characteristic, or with the
READS SQL DATA
or NO
SQL
characteristic. If the variable is set to 1,
MySQL does not enforce these restrictions on stored function
creation. This variable also applies to trigger creation.
See Section 23.7, “Stored Program Binary Logging”.
Property | Value |
---|---|
Command-Line Format | --log-bin-use-v1-row-events[={OFF|ON}] |
System Variable | log_bin_use_v1_row_events |
Scope | Global |
Dynamic | No |
Type | Boolean |
Default Value | OFF |
Whether Version 2 binary logging is in use. If this variable is 0 (disabled, the default), Version 2 binary log events are in use. If this variable is 1 (enabled), the server writes the binary log using Version 1 logging events (the only version of binary log events used in previous releases), and thus produces a binary log that can be read by older slaves.
MySQL 5.7 uses Version 2 binary log row events
by default. However, Version 2 events cannot be read by
MySQL Server releases prior to MySQL 5.6.6. Enabling
log_bin_use_v1_row_events
causes mysqld to write the binary log
using Version 1 logging events.
This variable is read-only at runtime. To switch between
Version 1 and Version 2 binary event binary logging, it is
necessary to set
log_bin_use_v1_row_events
at server startup.
Other than when performing upgrades of NDB Cluster
Replication,
log_bin_use_v1_row_events
is chiefly of interest when setting up replication conflict
detection and resolution using
NDB$EPOCH_TRANS()
as the conflict
detection function, which requires Version 2 binary log row
events. Thus, this variable and
--ndb-log-transaction-id
are
not compatible.
MySQL NDB Cluster 7.5 uses Version 2 binary log row events by default. You should keep this mind when planning upgrades or downgrades, and for setups using NDB Cluster Replication.
For more information, see Section 21.6.11, “NDB Cluster Replication Conflict Resolution”.
log_builtin_as_identified_by_password
Property | Value |
---|---|
Command-Line Format | --log-builtin-as-identified-by-password[={OFF|ON}] |
System Variable | log_builtin_as_identified_by_password |
Scope | Global |
Dynamic | Yes |
Type | Boolean |
Default Value | OFF |
This variable affects binary logging of user-management statements. When enabled, the variable has the following effects:
Binary logging for CREATE
USER
statements involving built-in
authentication plugins rewrites the statements to
include an IDENTIFIED BY PASSWORD
clause.
SET PASSWORD
statements
are logged as SET
PASSWORD
statements, rather than being
rewritten to ALTER USER
statements.
SET PASSWORD
statements
are changed to log the hash of the password instead of
the supplied cleartext (unencrypted) password.
Enabling this variable ensures better compatibility for cross-version replication with 5.6 and pre-5.7.6 slaves, and for applications that expect this syntax in the binary log.
Property | Value |
---|---|
Command-Line Format | --log-slave-updates[={OFF|ON}] |
System Variable | log_slave_updates |
Scope | Global |
Dynamic | No |
Type | Boolean |
Default Value | OFF |
Whether updates received by a slave server from a master server should be logged to the slave's own binary log.
Normally, a slave does not log to its own binary log any
updates that are received from a master server. Enabling
this variable causes the slave to write the updates
performed by its SQL thread to its own binary log. For this
option to have any effect, the slave must also be started
with the --log-bin
option to
enable binary logging. See
Section 16.1.6, “Replication and Binary Logging Options and Variables”.
log_slave_updates
is
enabled when you want to chain replication servers. For
example, you might want to set up replication servers using
this arrangement:
A -> B -> C
Here, A
serves as the master for the
slave B
, and B
serves
as the master for the slave C
. For this
to work, B
must be both a master
and a slave. You must start both
A
and B
with
--log-bin
to enable binary
logging, and B
with
log_slave_updates
enabled
so that updates received from A
are
logged by B
to its binary log.
log_statements_unsafe_for_binlog
Property | Value |
---|---|
Command-Line Format | --log-statements-unsafe-for-binlog[={OFF|ON}] |
Introduced | 5.7.11 |
System Variable | log_statements_unsafe_for_binlog |
Scope | Global |
Dynamic | Yes |
Type | Boolean |
Default Value | ON |
If error 1592 is encountered, controls whether the generated warnings are added to the error log or not.
Property | Value |
---|---|
Command-Line Format | --master-verify-checksum[={OFF|ON}] |
System Variable | master_verify_checksum |
Scope | Global |
Dynamic | Yes |
Type | Boolean |
Default Value | OFF |
Enabling this variable causes the master to verify events
read from the binary log by examining checksums, and to stop
with an error in the event of a mismatch.
master_verify_checksum
is
disabled by default; in this case, the master uses the event
length from the binary log to verify events, so that only
complete events are read from the binary log.
Property | Value |
---|---|
Command-Line Format | --max-binlog-cache-size=# |
System Variable | max_binlog_cache_size |
Scope | Global |
Dynamic | Yes |
Type | Integer |
Default Value | 18446744073709551615 |
Minimum Value | 4096 |
Maximum Value | 18446744073709551615 |
If a transaction requires more than this many bytes of memory, the server generates a Multi-statement transaction required more than 'max_binlog_cache_size' bytes of storage error. The minimum value is 4096. The maximum possible value is 16EB (exabytes). The maximum recommended value is 4GB; this is due to the fact that MySQL currently cannot work with binary log positions greater than 4GB.
max_binlog_cache_size
sets the size for
the transaction cache only; the upper limit for the
statement cache is governed by the
max_binlog_stmt_cache_size
system variable.
The visibility to sessions of
max_binlog_cache_size
matches that of the
binlog_cache_size
system
variable; in other words, changing its value affects only
new sessions that are started after the value is changed.
Property | Value |
---|---|
Command-Line Format | --max-binlog-size=# |
System Variable | max_binlog_size |
Scope | Global |
Dynamic | Yes |
Type | Integer |
Default Value | 1073741824 |
Minimum Value | 4096 |
Maximum Value | 1073741824 |
If a write to the binary log causes the current log file size to exceed the value of this variable, the server rotates the binary logs (closes the current file and opens the next one). The minimum value is 4096 bytes. The maximum and default value is 1GB.
A transaction is written in one chunk to the binary log, so
it is never split between several binary logs. Therefore, if
you have big transactions, you might see binary log files
larger than
max_binlog_size
.
If max_relay_log_size
is 0,
the value of
max_binlog_size
applies to
relay logs as well.
Property | Value |
---|---|
Command-Line Format | --max-binlog-stmt-cache-size=# |
System Variable | max_binlog_stmt_cache_size |
Scope | Global |
Dynamic | Yes |
Type | Integer |
Default Value | 18446744073709547520 |
Minimum Value | 4096 |
Maximum Value | 18446744073709547520 |
If nontransactional statements within a transaction require more than this many bytes of memory, the server generates an error. The minimum value is 4096. The maximum and default values are 4GB on 32-bit platforms and 16EB (exabytes) on 64-bit platforms.
max_binlog_stmt_cache_size
sets the size
for the statement cache only; the upper limit for the
transaction cache is governed exclusively by the
max_binlog_cache_size
system variable.
Property | Value |
---|---|
System Variable | sql_log_bin |
Scope | Session |
Dynamic | Yes |
Type | Boolean |
Default Value | ON |
This variable controls whether logging to the binary log is
enabled for the current session (assuming that the binary
log itself is enabled). The default value is
ON
. To disable or enable binary logging
for the current session, set the session
sql_log_bin
variable to
OFF
or ON
.
Set this variable to OFF
for a session to
temporarily disable binary logging while making changes to
the master you do not want replicated to the slave.
Setting the session value of this system variable is a restricted operation. The session user must have privileges sufficient to set restricted session variables. See Section 5.1.8.1, “System Variable Privileges”.
It is not possible to set the session value of
sql_log_bin
within a
transaction or subquery.
Setting this variable to OFF
prevents GTIDs from being assigned to transactions in the
binary log. If you are using GTIDs for
replication, this means that even when binary logging is
later enabled again, the GTIDs written into the log from
this point do not account for any transactions that occurred
in the meantime, so in effect those transactions are lost.
The global sql_log_bin
variable is read only and cannot be modified. The global
scope is deprecated and will be removed in a future MySQL
release.
Property | Value |
---|---|
Command-Line Format | --sync-binlog=# |
System Variable | sync_binlog |
Scope | Global |
Dynamic | Yes |
Type | Integer |
Default Value | 1 |
Minimum Value | 0 |
Maximum Value | 4294967295 |
Controls how often the MySQL server synchronizes the binary log to disk.
sync_binlog=0
: Disables
synchronization of the binary log to disk by the MySQL
server. Instead, the MySQL server relies on the
operating system to flush the binary log to disk from
time to time as it does for any other file. This setting
provides the best performance, but in the event of a
power failure or operating system crash, it is possible
that the server has committed transactions that have not
been synchronized to the binary log.
sync_binlog=1
: Enables
synchronization of the binary log to disk before
transactions are committed. This is the safest setting
but can have a negative impact on performance due to the
increased number of disk writes. In the event of a power
failure or operating system crash, transactions that are
missing from the binary log are only in a prepared
state. This permits the automatic recovery routine to
roll back the transactions, which guarantees that no
transaction is lost from the binary log.
sync_binlog=
,
where N
N
is a value other than
0 or 1: The binary log is synchronized to disk after
N
binary log commit groups have been
collected. In the event of a power failure or operating
system crash, it is possible that the server has
committed transactions that have not been flushed to the
binary log. This setting can have a negative impact on
performance due to the increased number of disk writes.
A higher value improves performance, but with an
increased risk of data loss.
For the greatest possible durability and consistency in a
replication setup that uses InnoDB
with
transactions, use these settings:
Many operating systems and some disk hardware fool the
flush-to-disk operation. They may tell
mysqld that the flush has taken place,
even though it has not. In this case, the durability of
transactions is not guaranteed even with the recommended
settings, and in the worst case, a power outage can
corrupt InnoDB
data. Using a
battery-backed disk cache in the SCSI disk controller or
in the disk itself speeds up file flushes, and makes the
operation safer. You can also try to disable the caching
of disk writes in hardware caches.
transaction_write_set_extraction
Property | Value |
---|---|
Command-Line Format | --transaction-write-set-extraction[=value] |
System Variable | transaction_write_set_extraction |
Scope | Global, Session |
Dynamic | Yes |
Type | Enumeration |
Default Value | OFF |
Valid Values (>= 5.7.14) |
|
Valid Values (<= 5.7.13) |
|
Defines the algorithm used to generate a hash identifying
the writes associated with a transaction. If you are using
Group Replication, the hash value is used for distributed
conflict detection and handling. On 64-bit systems running
Group Replication, we recommend setting this to
XXHASH64
in order to avoid unnecessary
hash collisions which result in certification failures and
the roll back of user transactions. See
Section 17.7.1, “Group Replication Requirements”.
The value of this variable cannot be changed when
binlog_transaction_dependency_tracking
is set to either of WRITESET
or
WRITESET_SESSION
.
The MySQL Server system variables described in this section are used to monitor and control Global Transaction Identifiers (GTIDs). For additional information, see Section 16.1.3, “Replication with Global Transaction Identifiers”.
Property | Value |
---|---|
Command-Line Format | --binlog-gtid-simple-recovery[={OFF|ON}] |
System Variable | binlog_gtid_simple_recovery |
Scope | Global |
Dynamic | No |
Type | Boolean |
Default Value | ON |
This variable controls how binary log files are iterated during the search for GTIDs when MySQL starts or restarts.
When
binlog_gtid_simple_recovery=TRUE
,
which is the default, the values of
gtid_executed
and
gtid_purged
are computed at
startup based on the values of
Previous_gtids_log_event
in the most recent
and oldest binary log files. For a description of the
computation, see
The gtid_purged
System Variable. This setting
accesses only two binary log files during server restart. If
all binary logs on the server were generated using MySQL 5.7.8
or later and you are using MySQL 5.7.8 or later,
binlog_gtid_simple_recovery=TRUE
can always safely be used.
With
binlog_gtid_simple_recovery=TRUE
,
gtid_executed
and
gtid_purged
might be
initialized incorrectly in the following two situations:
The newest binary log was generated by MySQL 5.7.5 or
earlier, and gtid_mode
was ON
for some binary logs but
OFF
for the newest binary log.
A SET @@GLOBAL.gtid_purged
statement
was issued on MySQL 5.7.7 or earlier, and the binary log
that was active at the time of the SET
@@GLOBAL.gtid_purged
statement has not yet been
purged.
If an incorrect GTID set is computed in either situation, it
will remain incorrect even if the server is later restarted
with
binlog_gtid_simple_recovery=FALSE
.
If either of these situations apply on the server, set
binlog_gtid_simple_recovery=FALSE
before starting or restarting the server. To check for the
second situation, if you are using MySQL 5.7.7 or earlier,
after issuing a SET @@GLOBAL.gtid_purged
statement note down the current binary log file name, which
can be checked using SHOW MASTER
STATUS
. If the server is restarted before this file
has been purged, then you should set
binlog_gtid_simple_recovery=FALSE
.
When
binlog_gtid_simple_recovery=FALSE
is set, the method of computing
gtid_executed
and
gtid_purged
as described in
The gtid_purged
System Variable is changed to
iterate the binary log files as follows:
Instead of using the value of
Previous_gtids_log_event
and GTID log
events from the newest binary log file, the computation
for gtid_executed
iterates from the newest binary log file, and uses the
value of Previous_gtids_log_event
and
any GTID log events from the first binary log file where
it finds a Previous_gtids_log_event
value. If the server's most recent binary log files do not
have GTID log events, for example if
gtid_mode=ON
was used but
the server was later changed to
gtid_mode=OFF
, this
process can take a long time.
Instead of using the value of
Previous_gtids_log_event
from the
oldest binary log file, the computation for
gtid_purged
iterates from
the oldest binary log file, and uses the value of
Previous_gtids_log_event
from the first
binary log file where it finds either a nonempty
Previous_gtids_log_event
value, or at
least one GTID log event (indicating that the use of GTIDs
starts at that point). If the server's older binary log
files do not have GTID log events, for example if
gtid_mode=ON
was only set
recently on the server, this process can take a long time.
In MySQL version 5.7.5, this variable was added as
simplified_binlog_gtid_recovery
and in
MySQL version 5.7.6 it was renamed to
binlog_gtid_simple_recovery
.
Property | Value |
---|---|
Command-Line Format | --enforce-gtid-consistency[=value] |
System Variable | enforce_gtid_consistency |
Scope | Global |
Dynamic | Yes |
Type | Enumeration |
Default Value | OFF |
Valid Values |
|
Depending on the value of this variable, the server enforces
GTID consistency by allowing execution of only statements that
can be safely logged using a GTID. You
must set this variable to
ON
before enabling GTID based replication.
The values that
enforce_gtid_consistency
can
be configured to are:
OFF
: all transactions are allowed to
violate GTID consistency.
ON
: no transaction is allowed to
violate GTID consistency.
WARN
: all transactions are allowed to
violate GTID consistency, but a warning is generated in
this case. WARN
was added in MySQL
5.7.6.
Only statements that can be logged using GTID safe statements
can be logged when
enforce_gtid_consistency
is
set to ON
, so the operations listed here
cannot be used with this option:
CREATE
TABLE ... SELECT
statements
CREATE
TEMPORARY TABLE
or
DROP TEMPORARY
TABLE
statements inside transactions
Transactions or statements that update both transactional and nontransactional tables. There is an exception that nontransactional DML is allowed in the same transaction or in the same statement as transactional DML, if all nontransactional tables are temporary.
--enforce-gtid-consistency
only
takes effect if binary logging takes place for a statement. If
binary logging is disabled on the server, or if statements are
not written to the binary log because they are removed by a
filter, GTID consistency is not checked or enforced for the
statements that are not logged.
For more information, see Section 16.1.3.6, “Restrictions on Replication with GTIDs”.
Prior to MySQL 5.7.6, the boolean
enforce_gtid_consistency
defaulted to OFF
. To maintain compatibility
with previous releases, in MySQL 5.7.6 the enumeration
defaults to OFF
, and setting
--enforce-gtid-consistency
without a value is interpreted as setting the value to
ON
. The variable also has multiple textual
aliases for the values: 0=OFF=FALSE
,
1=ON=TRUE
,2=WARN
. This
differs from other enumeration types but maintains
compatibility with the boolean type used in previous versions.
These changes impact on what is returned by the variable.
Using SELECT @@ENFORCE_GTID_CONSISTENCY
,
SHOW VARIABLES LIKE
'ENFORCE_GTID_CONSISTENCY'
, and SELECT *
FROM INFORMATION_SCHEMA.VARIABLES WHERE 'VARIABLE_NAME' =
'ENFORCE_GTID_CONSISTENCY'
, all return the textual
form, not the numeric form. This is an incompatible change,
since @@ENFORCE_GTID_CONSISTENCY
returns
the numeric form for booleans but returns the textual form for
SHOW
and the Information Schema.
Property | Value |
---|---|
System Variable | gtid_executed |
System Variable | gtid_executed |
Scope | Global |
Scope | Global, Session |
Dynamic | No |
Dynamic | No |
Type | String |
When used with global scope, this variable contains a
representation of the set of all transactions executed on the
server and GTIDs that have been set by a
SET
gtid_purged
statement. This
is the same as the value of the
Executed_Gtid_Set
column in the output of
SHOW MASTER STATUS
and
SHOW SLAVE STATUS
. The value of
this variable is a GTID set, see
GTID Sets for
more information.
When the server starts,
@@GLOBAL.gtid_executed
is initialized. See
binlog_gtid_simple_recovery
for more information on how binary logs are iterated to
populate gtid_executed
. GTIDs
are then added to the set as transactions are executed, or if
any
SET
gtid_purged
statement is
executed.
The set of transactions that can be found in the binary logs
at any given time is equal to
GTID_SUBTRACT(@@GLOBAL.gtid_executed,
@@GLOBAL.gtid_purged)
; that is, to all transactions
in the binary log that have not yet been purged.
Issuing RESET MASTER
causes the
global value (but not the session value) of this variable to
be reset to an empty string. GTIDs are not otherwise removed
from this set other than when the set is cleared due to
RESET MASTER
.
Prior to MySQL 5.7.7, this variable could also be used with session scope, where it contained a representation of the set of transactions that are written to the cache in the current session. The session scope was deprecated in MySQL 5.7.7.
gtid_executed_compression_period
Property | Value |
---|---|
Command-Line Format | --gtid-executed-compression-period=# |
System Variable | gtid_executed_compression_period |
Scope | Global |
Dynamic | Yes |
Type | Integer |
Default Value | 1000 |
Minimum Value | 0 |
Maximum Value | 4294967295 |
Compress the mysql.gtid_executed
table each
time this many transactions have been processed. A setting of
0 means that this table is not compressed. Since no
compression of the table occurs when using the binary log,
setting the value of the variable has no effect unless binary
logging is disabled.
See mysql.gtid_executed Table Compression, for more information.
This variable was added in MySQL version 5.7.5 as
executed_gtids_compression_period
and
renamed in MySQL version 5.7.6 to
gtid_executed_compression_period
.
Property | Value |
---|---|
Command-Line Format | --gtid-mode=MODE |
System Variable | gtid_mode |
Scope | Global |
Dynamic | Yes |
Type | Enumeration |
Default Value | OFF |
Valid Values |
|
Controls whether GTID based logging is enabled and what type
of transactions the logs can contain. Prior to MySQL 5.7.6,
this variable was read-only and was set using
--gtid-mode
at server startup
only. Prior to MySQL 5.7.5, starting the server with
--gtid-mode=ON
required that
the server also be started with the
--log-bin
and
--log-slave-updates
options. As
of MySQL 5.7.5, this is no longer a requirement. See
mysql.gtid_executed Table.
MySQL 5.7.6 enables this variable to be set dynamically. You
must have privileges sufficient to set global system
variables. See Section 5.1.8.1, “System Variable Privileges”.
enforce_gtid_consistency
must
be true before you can set
gtid_mode=ON
. Before
modifying this variable, see
Section 16.1.5, “Changing Replication Modes on Online Servers”.
Transactions logged in MySQL 5.7.6 and higher can be either
anonymous or use GTIDs. Anonymous transactions rely on binary
log file and position to identify specific transactions. GTID
transactions have a unique identifier that is used to refer to
transactions. The OFF_PERMISSIVE
and
ON_PERMISSIVE
modes added in MySQL 5.7.6
permit a mix of these transaction types in the topology. The
different modes are now:
OFF
: Both new and replicated
transactions must be anonymous.
OFF_PERMISSIVE
: New transactions are
anonymous. Replicated transactions can be either anonymous
or GTID transactions.
ON_PERMISSIVE
: New transactions are
GTID transactions. Replicated transactions can be either
anonymous or GTID transactions.
ON
: Both new and replicated
transactions must be GTID transactions.
Changes from one value to another can only be one step at a
time. For example, if
gtid_mode
is currently set to
OFF_PERMISSIVE
, it is possible to change to
OFF
or ON_PERMISSIVE
but
not to ON
.
In MySQL 5.7.6 and higher, the values of
gtid_purged
and
gtid_executed
are persistent
regardless of the value of
gtid_mode
. Therefore even
after changing the value of
gtid_mode
, these variables
contain the correct values. In MySQL 5.7.5 and earlier, the
values of gtid_purged
and
gtid_executed
are not
persistent while
gtid_mode=OFF
. Therefore,
after changing gtid_mode
to
OFF
, once all binary logs containing GTIDs
are purged, the values of these variables are lost.
Property | Value |
---|---|
System Variable | gtid_next |
Scope | Session |
Dynamic | Yes |
Type | Enumeration |
Default Value | AUTOMATIC |
Valid Values |
|
This variable is used to specify whether and how the next GTID is obtained.
Setting the session value of this system variable is a restricted operation. The session user must have privileges sufficient to set restricted session variables. See Section 5.1.8.1, “System Variable Privileges”.
gtid_next
can take any of the following
values:
AUTOMATIC
: Use the next
automatically-generated global transaction ID.
ANONYMOUS
: Transactions do not have
global identifiers, and are identified by file and
position only.
A global transaction ID in
UUID
:NUMBER
format.
Exactly which of the above options are valid depends on the
setting of gtid_mode
, see
Section 16.1.5.1, “Replication Mode Concepts” for
more information. Setting this variable has no effect if
gtid_mode
is
OFF
.
After this variable has been set to
UUID
:NUMBER
,
and a transaction has been committed or rolled back, an
explicit SET GTID_NEXT
statement must again
be issued before any other statement.
In MySQL 5.7.5 and higher, DROP TABLE
or
DROP TEMPORARY TABLE
fails with an explicit
error when used on a combination of nontemporary tables with
temporary tables, or of temporary tables using transactional
storage engines with temporary tables using nontransactional
storage engines. Prior to MySQL 5.7.5, when GTIDs were enabled
but gtid_next
was not
AUTOMATIC
, DROP
TABLE
did not work correctly when used with either
of these combinations of tables. (Bug #17620053)
In MySQL 5.7.1, you cannot execute any of the statements
CHANGE MASTER TO
,
START SLAVE
,
STOP SLAVE
,
REPAIR TABLE
,
OPTIMIZE TABLE
,
ANALYZE TABLE
,
CHECK TABLE
,
CREATE SERVER
,
ALTER SERVER
,
DROP SERVER
,
CACHE INDEX
,
LOAD INDEX INTO
CACHE
, FLUSH
, or
RESET
when
gtid_next
is set to any value
other than AUTOMATIC
; in such cases, the
statement fails with an error. Such statements are
not disallowed in MySQL 5.7.2 and later.
(Bug #16062608, Bug #16715809, Bug #69045) (Bug #16062608)
Property | Value |
---|---|
System Variable | gtid_owned |
Scope | Global, Session |
Dynamic | No |
Type | String |
This read-only variable is primarily for internal use. Its contents depend on its scope.
When used with global scope,
gtid_owned
holds a list
of all the GTIDs that are currently in use on the server,
with the IDs of the threads that own them. This variable
is mainly useful for a multi-threaded replication slave to
check whether a transaction is already being applied on
another thread. An applier thread takes ownership of a
transaction's GTID all the time it is processing the
transaction, so @@global.gtid_owned
shows the GTID and owner for the duration of processing.
When a transaction has been committed (or rolled back),
the applier thread releases ownership of the GTID.
When used with session scope,
gtid_owned
holds a single
GTID that is currently in use by and owned by this
session. This variable is mainly useful for testing and
debugging the use of GTIDs when the client has explicitly
assigned a GTID for the transaction by setting
gtid_next
. In this case,
@@session.gtid_owned
displays the GTID
all the time the client is processing the transaction,
until the transaction has been committed (or rolled back).
When the client has finished processing the transaction,
the variable is cleared. If
gtid_next=AUTOMATIC
is
used for the session,
gtid_owned
is only
populated briefly during the execution of the commit
statement for the transaction, so it cannot be observed
from the session concerned, although it will be listed if
@@global.gtid_owned
is read at the
right point. If you have a requirement to track the GTIDs
that are handled by a client in a session, you can enable
the session state tracker controlled by the
session_track_gtids
system variable.
Property | Value |
---|---|
System Variable | gtid_purged |
Scope | Global |
Dynamic | Yes |
Type | String |
The global value of the
gtid_purged
system variable
(@@GLOBAL.gtid_purged
) is a GTID set
consisting of the GTIDs of all the transactions that have been
committed on the server, but do not exist in any binary log
file on the server.
gtid_purged
is a subset of
gtid_executed
. The following
categories of GTIDs are in
gtid_purged
:
GTIDs of replicated transactions that were committed with binary logging disabled on the slave.
GTIDs of transactions that were written to a binary log file that has now been purged.
GTIDs that were added explicitly to the set by the
statement SET @@GLOBAL.gtid_purged
.
When the server starts or restarts, the global value of
gtid_purged
is initialized to
a set of GTIDs. For information on how this GTID set is
computed, see The gtid_purged
System Variable.
If binary logs from MySQL 5.7.7 or older are present on the
server, you might need to set
binlog_gtid_simple_recovery=FALSE
in the server's configuration file to produce the correct
computation. See the description for
binlog_gtid_simple_recovery
for details of the situations in which this setting is needed.
Issuing RESET MASTER
causes the
value of gtid_purged
to be
reset to an empty string.
You can set the value of
gtid_purged
in order to
record on the server that the transactions in a certain GTID
set have been applied, although they do not exist in any
binary log on the server. An example use case for this action
is when you are restoring a backup of one or more databases on
a server, but you do not have the relevant binary logs
containing the transactions on the server.
In MySQL 5.7, it is possible to update the value of
gtid_purged
only when
gtid_executed
is the empty
string, and therefore
gtid_purged
is the empty
string. This is the case either when replication has not been
started previously, or when replication did not previously use
GTIDs. Prior to MySQL 5.7.6,
gtid_purged
was also settable
only when gtid_mode=ON
. In
MySQL 5.7.6 and higher,
gtid_purged
is settable
regardless of the value of
gtid_mode
.
To replace the value of
gtid_purged
with your
specified GTID set, use the following statement:
SET @@GLOBAL.gtid_purged = 'gtid_set'
If you are using MySQL 5.7.7 or earlier, after issuing a
SET @@GLOBAL.gtid_purged
statement, you
might need to set
binlog_gtid_simple_recovery=FALSE
in the server's configuration file before restarting the
server, otherwise
gtid_purged
can be computed
incorrectly. See the description for
binlog_gtid_simple_recovery
for details of the situations in which this setting is
needed. If all binary logs on the server were generated
using MySQL 5.7.8 or later and you are using MySQL 5.7.8 or
later,
binlog_gtid_simple_recovery=TRUE
(which is the default setting from MySQL 5.7.7) can always
safely be used.
Once replication has been started it executes without requiring much regular administration. This section describes how to check the status of replication and how to pause a slave.
The most common task when managing a replication process is to ensure that replication is taking place and that there have been no errors between the slave and the master.
The SHOW SLAVE STATUS
statement,
which you must execute on each slave, provides information about
the configuration and status of the connection between the slave
server and the master server. From MySQL 5.7, the Performance
Schema has replication tables that provide this information in a
more accessible form. See
Section 25.12.11, “Performance Schema Replication Tables”.
The SHOW STATUS
statement also
provided some information relating specifically to replication
slaves. As of MySQL version 5.7.5, the following status
variables previously monitored using SHOW
STATUS
were deprecated and moved to the Performance
Schema replication tables:
The replication heartbeat information shown in the Performance
Schema replication tables lets you check that the replication
connection is active even if the master has not sent events to
the slave recently. The master sends a heartbeat signal to a
slave if there are no updates to, and no unsent events in, the
binary log for a longer period than the heartbeat interval. The
MASTER_HEARTBEAT_PERIOD
setting on the master
(set by the CHANGE MASTER TO
statement) specifies the frequency of the heartbeat, which
defaults to half of the connection timeout interval for the
slave (slave_net_timeout
). The
replication_connection_status
Performance Schema table shows when the most recent heartbeat
signal was received by a replication slave, and how many
heartbeat signals it has received.
If you are using the SHOW SLAVE
STATUS
statement to check on the status of an
individual slave, the statement provides the following
information:
mysql> SHOW SLAVE STATUS\G
*************************** 1. row ***************************
Slave_IO_State: Waiting for master to send event
Master_Host: master1
Master_User: root
Master_Port: 3306
Connect_Retry: 60
Master_Log_File: mysql-bin.000004
Read_Master_Log_Pos: 931
Relay_Log_File: slave1-relay-bin.000056
Relay_Log_Pos: 950
Relay_Master_Log_File: mysql-bin.000004
Slave_IO_Running: Yes
Slave_SQL_Running: Yes
Replicate_Do_DB:
Replicate_Ignore_DB:
Replicate_Do_Table:
Replicate_Ignore_Table:
Replicate_Wild_Do_Table:
Replicate_Wild_Ignore_Table:
Last_Errno: 0
Last_Error:
Skip_Counter: 0
Exec_Master_Log_Pos: 931
Relay_Log_Space: 1365
Until_Condition: None
Until_Log_File:
Until_Log_Pos: 0
Master_SSL_Allowed: No
Master_SSL_CA_File:
Master_SSL_CA_Path:
Master_SSL_Cert:
Master_SSL_Cipher:
Master_SSL_Key:
Seconds_Behind_Master: 0
Master_SSL_Verify_Server_Cert: No
Last_IO_Errno: 0
Last_IO_Error:
Last_SQL_Errno: 0
Last_SQL_Error:
Replicate_Ignore_Server_Ids: 0
The key fields from the status report to examine are:
Slave_IO_State
: The current status of the
slave. See Section 8.14.5, “Replication Slave I/O Thread States”, and
Section 8.14.6, “Replication Slave SQL Thread States”, for more
information.
Slave_IO_Running
: Whether the I/O thread
for reading the master's binary log is running. Normally,
you want this to be Yes
unless you have
not yet started replication or have explicitly stopped it
with STOP SLAVE
.
Slave_SQL_Running
: Whether the SQL thread
for executing events in the relay log is running. As with
the I/O thread, this should normally be
Yes
.
Last_IO_Error
,
Last_SQL_Error
: The last errors
registered by the I/O and SQL threads when processing the
relay log. Ideally these should be blank, indicating no
errors.
Seconds_Behind_Master
: The number of
seconds that the slave SQL thread is behind processing the
master binary log. A high number (or an increasing one) can
indicate that the slave is unable to handle events from the
master in a timely fashion.
A value of 0 for Seconds_Behind_Master
can usually be interpreted as meaning that the slave has
caught up with the master, but there are some cases where
this is not strictly true. For example, this can occur if
the network connection between master and slave is broken
but the slave I/O thread has not yet noticed this—that
is, slave_net_timeout
has
not yet elapsed.
It is also possible that transient values for
Seconds_Behind_Master
may not reflect the
situation accurately. When the slave SQL thread has caught
up on I/O, Seconds_Behind_Master
displays
0; but when the slave I/O thread is still queuing up a new
event, Seconds_Behind_Master
may show a
large value until the SQL thread finishes executing the new
event. This is especially likely when the events have old
timestamps; in such cases, if you execute
SHOW SLAVE STATUS
several
times in a relatively short period, you may see this value
change back and forth repeatedly between 0 and a relatively
large value.
Several pairs of fields provide information about the progress of the slave in reading events from the master binary log and processing them in the relay log:
(Master_Log_file
,
Read_Master_Log_Pos
): Coordinates in the
master binary log indicating how far the slave I/O thread
has read events from that log.
(Relay_Master_Log_File
,
Exec_Master_Log_Pos
): Coordinates in the
master binary log indicating how far the slave SQL thread
has executed events received from that log.
(Relay_Log_File
,
Relay_Log_Pos
): Coordinates in the slave
relay log indicating how far the slave SQL thread has
executed the relay log. These correspond to the preceding
coordinates, but are expressed in slave relay log
coordinates rather than master binary log coordinates.
On the master, you can check the status of connected slaves
using SHOW PROCESSLIST
to examine
the list of running processes. Slave connections have
Binlog Dump
in the Command
field:
mysql> SHOW PROCESSLIST \G;
*************************** 4. row ***************************
Id: 10
User: root
Host: slave1:58371
db: NULL
Command: Binlog Dump
Time: 777
State: Has sent all binlog to slave; waiting for binlog to be updated
Info: NULL
Because it is the slave that drives the replication process, very little information is available in this report.
For slaves that were started with the
--report-host
option and are
connected to the master, the SHOW SLAVE
HOSTS
statement on the master shows basic information
about the slaves. The output includes the ID of the slave
server, the value of the
--report-host
option, the
connecting port, and master ID:
mysql> SHOW SLAVE HOSTS;
+-----------+--------+------+-------------------+-----------+
| Server_id | Host | Port | Rpl_recovery_rank | Master_id |
+-----------+--------+------+-------------------+-----------+
| 10 | slave1 | 3306 | 0 | 1 |
+-----------+--------+------+-------------------+-----------+
1 row in set (0.00 sec)
You can stop and start replication on the slave using the
STOP SLAVE
and
START SLAVE
statements.
To stop processing of the binary log from the master, use
STOP SLAVE
:
mysql> STOP SLAVE;
When replication is stopped, the slave I/O thread stops reading events from the master binary log and writing them to the relay log, and the SQL thread stops reading events from the relay log and executing them. You can pause the I/O or SQL thread individually by specifying the thread type:
mysql>STOP SLAVE IO_THREAD;
mysql>STOP SLAVE SQL_THREAD;
To start execution again, use the START
SLAVE
statement:
mysql> START SLAVE;
To start a particular thread, specify the thread type:
mysql>START SLAVE IO_THREAD;
mysql>START SLAVE SQL_THREAD;
For a slave that performs updates only by processing events from the master, stopping only the SQL thread can be useful if you want to perform a backup or other task. The I/O thread will continue to read events from the master but they are not executed. This makes it easier for the slave to catch up when you restart the SQL thread.
Stopping only the I/O thread enables the events in the relay log to be executed by the SQL thread up to the point where the relay log ends. This can be useful when you want to pause execution to catch up with events already received from the master, when you want to perform administration on the slave but also ensure that it has processed all updates to a specific point. This method can also be used to pause event receipt on the slave while you conduct administration on the master. Stopping the I/O thread but permitting the SQL thread to run helps ensure that there is not a massive backlog of events to be executed when replication is started again.
Replication is based on the master server keeping track of all
changes to its databases (updates, deletes, and so on) in its binary
log. The binary log serves as a written record of all events that
modify database structure or content (data) from the moment the
server was started. Typically, SELECT
statements are not recorded because they modify neither database
structure nor content.
Each slave that connects to the master requests a copy of the binary log. That is, it pulls the data from the master, rather than the master pushing the data to the slave. The slave also executes the events from the binary log that it receives. This has the effect of repeating the original changes just as they were made on the master. Tables are created or their structure modified, and data is inserted, deleted, and updated according to the changes that were originally made on the master.
Because each slave is independent, the replaying of the changes from the master's binary log occurs independently on each slave that is connected to the master. In addition, because each slave receives a copy of the binary log only by requesting it from the master, the slave is able to read and update the copy of the database at its own pace and can start and stop the replication process at will without affecting the ability to update to the latest database status on either the master or slave side.
For more information on the specifics of the replication implementation, see Section 16.2.2, “Replication Implementation Details”.
Masters and slaves report their status in respect of the replication process regularly so that you can monitor them. See Section 8.14, “Examining Thread Information”, for descriptions of all replicated-related states.
The master binary log is written to a local relay log on the slave before it is processed. The slave also records information about the current position with the master's binary log and the local relay log. See Section 16.2.4, “Replication Relay and Status Logs”.
Database changes are filtered on the slave according to a set of rules that are applied according to the various configuration options and variables that control event evaluation. For details on how these rules are applied, see Section 16.2.5, “How Servers Evaluate Replication Filtering Rules”.
Replication works because events written to the binary log are read from the master and then processed on the slave. The events are recorded within the binary log in different formats according to the type of event. The different replication formats used correspond to the binary logging format used when the events were recorded in the master's binary log. The correlation between binary logging formats and the terms used during replication are:
When using statement-based binary logging, the master writes SQL statements to the binary log. Replication of the master to the slave works by executing the SQL statements on the slave. This is called statement-based replication (which can be abbreviated as SBR), which corresponds to the MySQL statement-based binary logging format.
When using row-based logging, the master writes events to the binary log that indicate how individual table rows are changed. Replication of the master to the slave works by copying the events representing the changes to the table rows to the slave. This is called row-based replication (which can be abbreviated as RBR).
You can also configure MySQL to use a mix of both statement-based and row-based logging, depending on which is most appropriate for the change to be logged. This is called mixed-format logging. When using mixed-format logging, a statement-based log is used by default. Depending on certain statements, and also the storage engine being used, the log is automatically switched to row-based in particular cases. Replication using the mixed format is referred to as mixed-based replication or mixed-format replication. For more information, see Section 5.4.4.3, “Mixed Binary Logging Format”.
Prior to MySQL 5.7.7, statement-based format was the default. In MySQL 5.7.7 and later, row-based format is the default.
NDB Cluster.
The default binary logging format in MySQL NDB Cluster 7.5 is
MIXED
. You should note that NDB Cluster
Replication always uses row-based replication, and that the
NDB
storage engine is incompatible
with statement-based replication. See
Section 21.6.2, “General Requirements for NDB Cluster Replication”, for more
information.
When using MIXED
format, the binary logging
format is determined in part by the storage engine being used and
the statement being executed. For more information on mixed-format
logging and the rules governing the support of different logging
formats, see Section 5.4.4.3, “Mixed Binary Logging Format”.
The logging format in a running MySQL server is controlled by
setting the binlog_format
server
system variable. This variable can be set with session or global
scope. The rules governing when and how the new setting takes
effect are the same as for other MySQL server system variables.
Setting the variable for the current session lasts only until the
end of that session, and the change is not visible to other
sessions. Setting the variable globally takes effect for clients
that connect after the change, but not for any current client
sessions, including the session where the variable setting was
changed. To make the global system variable setting permanent so
that it applies across server restarts, you must set it in an
option file. For more information, see
Section 13.7.4.1, “SET Syntax for Variable Assignment”.
There are conditions under which you cannot change the binary logging format at runtime or doing so causes replication to fail. See Section 5.4.4.2, “Setting The Binary Log Format”.
Changing the global binlog_format
value requires privileges sufficient to set global system
variables. Changing the session
binlog_format
value requires
privileges sufficient to set restricted session system variables.
See Section 5.1.8.1, “System Variable Privileges”.
The statement-based and row-based replication formats have different issues and limitations. For a comparison of their relative advantages and disadvantages, see Section 16.2.1.1, “Advantages and Disadvantages of Statement-Based and Row-Based Replication”.
With statement-based replication, you may encounter issues with replicating stored routines or triggers. You can avoid these issues by using row-based replication instead. For more information, see Section 23.7, “Stored Program Binary Logging”.
Each binary logging format has advantages and disadvantages. For most users, the mixed replication format should provide the best combination of data integrity and performance. If, however, you want to take advantage of the features specific to the statement-based or row-based replication format when performing certain tasks, you can use the information in this section, which provides a summary of their relative advantages and disadvantages, to determine which is best for your needs.
Proven technology.
Less data written to log files. When updates or deletes affect many rows, this results in much less storage space required for log files. This also means that taking and restoring from backups can be accomplished more quickly.
Log files contain all statements that made any changes, so they can be used to audit the database.
Statements that are unsafe for SBR.
Not all statements which modify data (such as
INSERT
DELETE
,
UPDATE
, and
REPLACE
statements) can be
replicated using statement-based replication. Any
nondeterministic behavior is difficult to replicate when
using statement-based replication. Examples of such Data
Modification Language (DML) statements include the
following:
A statement that depends on a UDF or stored program that is nondeterministic, since the value returned by such a UDF or stored program or depends on factors other than the parameters supplied to it. (Row-based replication, however, simply replicates the value returned by the UDF or stored program, so its effect on table rows and data is the same on both the master and slave.) See Section 16.4.1.16, “Replication of Invoked Features”, for more information.
DELETE
and
UPDATE
statements that
use a LIMIT
clause without an
ORDER BY
are nondeterministic. See
Section 16.4.1.17, “Replication and LIMIT”.
Deterministic UDFs must be applied on the slaves.
Statements using any of the following functions cannot be replicated properly using statement-based replication:
SYSDATE()
(unless
both the master and the slave are started with the
--sysdate-is-now
option)
However, all other functions are replicated correctly
using statement-based replication, including
NOW()
and so forth.
For more information, see Section 16.4.1.15, “Replication and System Functions”.
Statements that cannot be replicated correctly using statement-based replication are logged with a warning like the one shown here:
[Warning] Statement is not safe to log in statement format.
A similar warning is also issued to the client in such
cases. The client can display it using
SHOW WARNINGS
.
INSERT ...
SELECT
requires a greater number of row-level
locks than with row-based replication.
UPDATE
statements that
require a table scan (because no index is used in the
WHERE
clause) must lock a greater number
of rows than with row-based replication.
For InnoDB
: An
INSERT
statement that uses
AUTO_INCREMENT
blocks other
nonconflicting INSERT
statements.
For complex statements, the statement must be evaluated and executed on the slave before the rows are updated or inserted. With row-based replication, the slave only has to modify the affected rows, not execute the full statement.
If there is an error in evaluation on the slave, particularly when executing complex statements, statement-based replication may slowly increase the margin of error across the affected rows over time. See Section 16.4.1.27, “Slave Errors During Replication”.
Stored functions execute with the same
NOW()
value as the calling
statement. However, this is not true of stored procedures.
Deterministic UDFs must be applied on the slaves.
Table definitions must be (nearly) identical on master and slave. See Section 16.4.1.10, “Replication with Differing Table Definitions on Master and Slave”, for more information.
All changes can be replicated. This is the safest form of replication.
Statements that update the information in the
mysql
system database—such as
GRANT
,
REVOKE
and the manipulation
of triggers, stored routines (including stored
procedures), and views—are all replicated to slaves
using statement-based replication.
For statements such as
CREATE TABLE
... SELECT
, a CREATE
statement is generated from the table definition and
replicated using statement-based format, while the row
insertions are replicated using row-based format.
Fewer row locks are required on the master, which thus achieves higher concurrency, for the following types of statements:
Fewer row locks are required on the slave for any
INSERT
,
UPDATE
, or
DELETE
statement.
RBR can generate more data that must be logged. To replicate
a DML statement (such as an
UPDATE
or
DELETE
statement),
statement-based replication writes only the statement to the
binary log. By contrast, row-based replication writes each
changed row to the binary log. If the statement changes many
rows, row-based replication may write significantly more
data to the binary log; this is true even for statements
that are rolled back. This also means that making and
restoring a backup can require more time. In addition, the
binary log is locked for a longer time to write the data,
which may cause concurrency problems. Use
binlog_row_image=minimal
to
reduce the disadvantage considerably.
Deterministic UDFs that generate large
BLOB
values take longer to
replicate with row-based replication than with
statement-based replication. This is because the
BLOB
column value is logged,
rather than the statement generating the data.
You cannot see on the slave what statements were received
from the master and executed. However, you can see what data
was changed using mysqlbinlog with the
options
--base64-output=DECODE-ROWS
and --verbose
.
Alternatively, use the
binlog_rows_query_log_events
variable, which if enabled adds a
Rows_query
event with the statement to
mysqlbinlog output when the
-vv
option is used.
For tables using the MyISAM
storage engine, a stronger lock is required on the slave for
INSERT
statements when
applying them as row-based events to the binary log than
when applying them as statements. This means that concurrent
inserts on MyISAM
tables are
not supported when using row-based replication.
MySQL uses statement-based logging (SBL), row-based logging (RBL) or mixed-format logging. The type of binary log used impacts the size and efficiency of logging. Therefore the choice between row-based replication (RBR) or statement-based replication (SBR) depends on your application and environment. This section describes known issues when using a row-based format log, and describes some best practices using it in replication.
For additional information, see Section 16.2.1, “Replication Formats”, and Section 16.2.1.1, “Advantages and Disadvantages of Statement-Based and Row-Based Replication”.
For information about issues specific to NDB Cluster Replication (which depends on row-based replication), see Section 21.6.3, “Known Issues in NDB Cluster Replication”.
Row-based logging of temporary tables. As noted in Section 16.4.1.29, “Replication and Temporary Tables”, temporary tables are not replicated when using row-based format. When using mixed format logging, “safe” statements involving temporary tables are logged using statement-based format. For more information, see Section 16.2.1.1, “Advantages and Disadvantages of Statement-Based and Row-Based Replication”.
Temporary tables are not replicated when using row-based format because there is no need. In addition, because temporary tables can be read only from the thread which created them, there is seldom if ever any benefit obtained from replicating them, even when using statement-based format.
You can switch from statement-based to row-based binary
logging format at runtime even when temporary tables have
been created. From MySQL 5.7.25, the MySQL server tracks the
logging mode that was in effect when each temporary table
was created. When a given client session ends, the server
logs a DROP TEMPORARY TABLE IF EXISTS
statement for each temporary table that still exists and was
created when statement-based binary logging was in use. If
row-based or mixed format binary logging was in use when the
table was created, the DROP TEMPORARY TABLE IF
EXISTS
statement is not logged. In previous
releases, the DROP TEMPORARY TABLE IF
EXISTS
statement was logged regardless of the
logging mode that was in effect.
Nontransactional DML statements involving temporary tables
are allowed when using
binlog_format=ROW
, as long
as any nontransactional tables affected by the statements
are temporary tables (Bug #14272672).
RBL and synchronization of nontransactional tables. When many rows are affected, the set of changes is split into several events; when the statement commits, all of these events are written to the binary log. When executing on the slave, a table lock is taken on all tables involved, and then the rows are applied in batch mode. Depending on the engine used for the slave's copy of the table, this may or may not be effective.
Latency and binary log size. RBL writes changes for each row to the binary log and so its size can increase quite rapidly. This can significantly increase the time required to make changes on the slave that match those on the master. You should be aware of the potential for this delay in your applications.
Reading the binary log.
mysqlbinlog displays row-based events
in the binary log using the BINLOG
statement (see Section 13.7.6.1, “BINLOG Statement”). This statement
displays an event as a base 64-encoded string, the meaning
of which is not evident. When invoked with the
--base64-output=DECODE-ROWS
and --verbose
options,
mysqlbinlog formats the contents of the
binary log to be human readable. When binary log events
were written in row-based format and you want to read or
recover from a replication or database failure you can use
this command to read contents of the binary log. For more
information, see Section 4.6.7.2, “mysqlbinlog Row Event Display”.
Binary log execution errors and slave_exec_mode.
Using
slave_exec_mode=IDEMPOTENT
is generally only useful with MySQL NDB Cluster
replication, for which IDEMPOTENT
is
the default value. (See
Section 21.6.10, “NDB Cluster Replication: Multi-Master and Circular Replication”).
When slave_exec_mode
is
IDEMPOTENT
, a failure to apply changes
from RBL because the original row cannot be found does not
trigger an error or cause replication to fail. This means
that it is possible that updates are not applied on the
slave, so that the master and slave are no longer
synchronized. Latency issues and use of nontransactional
tables with RBR when
slave_exec_mode
is
IDEMPOTENT
can cause the master and
slave to diverge even further. For more information about
slave_exec_mode
, see
Section 5.1.7, “Server System Variables”.
For other scenarios, setting
slave_exec_mode
to
STRICT
is normally sufficient; this is
the default value for storage engines other than
NDB
.
Filtering based on server ID not supported.
You can filter based on server ID by using the
IGNORE_SERVER_IDS
option for the
CHANGE MASTER TO
statement.
This option works with statement-based and row-based
logging formats. Another method to filter out changes on
some slaves is to use a WHERE
clause
that includes the relation @@server_id <>
clause with
id_value
UPDATE
and
DELETE
statements. For
example, WHERE @@server_id <> 1
.
However, this does not work correctly with row-based
logging. To use the
server_id
system variable
for statement filtering, use statement-based logging.
Database-level replication options.
The effects of the
--replicate-do-db
,
--replicate-ignore-db
, and
--replicate-rewrite-db
options differ considerably depending on whether row-based
or statement-based logging is used. Therefore, it is
recommended to avoid database-level options and instead
use table-level options such as
--replicate-do-table
and
--replicate-ignore-table
.
For more information about these options and the impact
replication format has on how they operate, see
Section 16.1.6, “Replication and Binary Logging Options and Variables”.
RBL, nontransactional tables, and stopped slaves.
When using row-based logging, if the slave server is
stopped while a slave thread is updating a
nontransactional table, the slave database can reach an
inconsistent state. For this reason, it is recommended
that you use a transactional storage engine such as
InnoDB
for all tables
replicated using the row-based format. Use of
STOP SLAVE
or
STOP SLAVE
SQL_THREAD
prior to shutting down the slave
MySQL server helps prevent issues from occurring, and is
always recommended regardless of the logging format or
storage engine you use.
The “safeness” of a statement in MySQL Replication, refers to whether the statement and its effects can be replicated correctly using statement-based format. If this is true of the statement, we refer to the statement as safe; otherwise, we refer to it as unsafe.
In general, a statement is safe if it deterministic, and unsafe if it is not. However, certain nondeterministic functions are not considered unsafe (see Nondeterministic functions not considered unsafe, later in this section). In addition, statements using results from floating-point math functions—which are hardware-dependent—are always considered unsafe (see Section 16.4.1.12, “Replication and Floating-Point Values”).
Handling of safe and unsafe statements.
A statement is treated differently depending on whether the
statement is considered safe, and with respect to the binary
logging format (that is, the current value of
binlog_format
).
When using row-based logging, no distinction is made in the treatment of safe and unsafe statements.
When using mixed-format logging, statements flagged as unsafe are logged using the row-based format; statements regarded as safe are logged using the statement-based format.
When using statement-based logging, statements flagged as being unsafe generate a warning to this effect. Safe statements are logged normally.
Each statement flagged as unsafe generates a warning. Formerly,
if a large number of such statements were executed on the
master, this could lead to excessively large error log files. To
prevent this, MySQL 5.7 provides a warning suppression
mechanism, which behaves as follows: Whenever the 50 most recent
ER_BINLOG_UNSAFE_STATEMENT
warnings have been generated more than 50 times in any 50-second
period, warning suppression is enabled. When activated, this
causes such warnings not to be written to the error log;
instead, for each 50 warnings of this type, a note The
last warning was repeated
is written
to the error log. This continues as long as the 50 most recent
such warnings were issued in 50 seconds or less; once the rate
has decreased below this threshold, the warnings are once again
logged normally. Warning suppression has no effect on how the
safety of statements for statement-based logging is determined,
nor on how warnings are sent to the client. MySQL clients still
receive one warning for each such statement.
N
times in
last S
seconds
For more information, see Section 16.2.1, “Replication Formats”.
Statements considered unsafe. Statements with the following characteristics are considered unsafe:
Statements containing system functions that may return a different value
on slave.
These functions include
FOUND_ROWS()
,
GET_LOCK()
,
IS_FREE_LOCK()
,
IS_USED_LOCK()
,
LOAD_FILE()
,
MASTER_POS_WAIT()
,
PASSWORD()
,
RAND()
,
RELEASE_LOCK()
,
ROW_COUNT()
,
SESSION_USER()
,
SLEEP()
,
SYSDATE()
,
SYSTEM_USER()
,
USER()
,
UUID()
, and
UUID_SHORT()
.
Nondeterministic functions not considered unsafe.
Although these functions are not deterministic, they are
treated as safe for purposes of logging and replication:
CONNECTION_ID()
,
CURDATE()
,
CURRENT_DATE()
,
CURRENT_TIME()
,
CURRENT_TIMESTAMP()
,
CURTIME()
,,
LAST_INSERT_ID()
,
LOCALTIME()
,
LOCALTIMESTAMP()
,
NOW()
,
UNIX_TIMESTAMP()
,
UTC_DATE()
,
UTC_TIME()
, and
UTC_TIMESTAMP()
.
For more information, see Section 16.4.1.15, “Replication and System Functions”.
References to system variables. Most system variables are not replicated correctly using the statement-based format. See Section 16.4.1.37, “Replication and Variables”. For exceptions, see Section 5.4.4.3, “Mixed Binary Logging Format”.
UDFs. Since we have no control over what a UDF does, we must assume that it is executing unsafe statements.
Fulltext plugin. This plugin may behave differently on different MySQL servers; therefore, statements depending on it could have different results. For this reason, all statements relying on the fulltext plugin are treated as unsafe (Bug #11756280, Bug #48183).
Trigger or stored program updates a table having an AUTO_INCREMENT column. This is unsafe because the order in which the rows are updated may differ on the master and the slave.
In addition, an INSERT
into a
table that has a composite primary key containing an
AUTO_INCREMENT
column that is not the
first column of this composite key is unsafe.
For more information, see Section 16.4.1.1, “Replication and AUTO_INCREMENT”.
INSERT ... ON DUPLICATE KEY UPDATE statements on tables with multiple primary or unique keys. When executed against a table that contains more than one primary or unique key, this statement is considered unsafe, being sensitive to the order in which the storage engine checks the keys, which is not deterministic, and on which the choice of rows updated by the MySQL Server depends.
An
INSERT
... ON DUPLICATE KEY UPDATE
statement against a
table having more than one unique or primary key is marked
as unsafe for statement-based replication. (Bug #11765650,
Bug #58637)
Updates using LIMIT. The order in which rows are retrieved is not specified, and is therefore considered unsafe. See Section 16.4.1.17, “Replication and LIMIT”.
Accesses or references log tables. The contents of the system log table may differ between master and slave.
Nontransactional operations after transactional operations. Within a transaction, allowing any nontransactional reads or writes to execute after any transactional reads or writes is considered unsafe.
For more information, see Section 16.4.1.33, “Replication and Transactions”.
Accesses or references self-logging tables. All reads and writes to self-logging tables are considered unsafe. Within a transaction, any statement following a read or write to self-logging tables is also considered unsafe.
LOAD DATA statements.
LOAD DATA
is treated as
unsafe and when
binlog_format=mixed
the
statement is logged in row-based format. When
binlog_format=statement
LOAD DATA
does not generate
a warning, unlike other unsafe statements.
XA transactions.
If two XA transactions committed in parallel on the master
are being prepared on the slave in the inverse order,
locking dependencies can occur with statement-based
replication that cannot be safely resolved, and it is
possible for replication to fail with deadlock on the
slave. When
binlog_format=STATEMENT
is set, DML statements inside XA transactions are flagged
as being unsafe and generate a warning. When
binlog_format=MIXED
or
binlog_format=ROW
is set,
DML statements inside XA transactions are logged using
row-based replication, and the potential issue is not
present.
For additional information, see Section 16.4.1, “Replication Features and Issues”.
MySQL replication capabilities are implemented using three threads, one on the master server and two on the slave:
Binlog dump thread.
The master creates a thread to send the binary log contents
to a slave when the slave connects. This thread can be
identified in the output of SHOW
PROCESSLIST
on the master as the Binlog
Dump
thread.
The binary log dump thread acquires a lock on the master's binary log for reading each event that is to be sent to the slave. As soon as the event has been read, the lock is released, even before the event is sent to the slave.
Slave I/O thread.
When a START SLAVE
statement
is issued on a slave server, the slave creates an I/O
thread, which connects to the master and asks it to send the
updates recorded in its binary logs.
The slave I/O thread reads the updates that the master's
Binlog Dump
thread sends (see previous
item) and copies them to local files that comprise the slave's
relay log.
The state of this thread is shown as
Slave_IO_running
in the output of
SHOW SLAVE STATUS
or as
Slave_running
in the output
of SHOW STATUS
.
Slave SQL thread. The slave creates an SQL thread to read the relay log that is written by the slave I/O thread and execute the events contained therein.
In the preceding description, there are three threads per master/slave connection. A master that has multiple slaves creates one binary log dump thread for each currently connected slave, and each slave has its own I/O and SQL threads.
A slave uses two threads to separate reading updates from the master and executing them into independent tasks. Thus, the task of reading statements is not slowed down if statement execution is slow. For example, if the slave server has not been running for a while, its I/O thread can quickly fetch all the binary log contents from the master when the slave starts, even if the SQL thread lags far behind. If the slave stops before the SQL thread has executed all the fetched statements, the I/O thread has at least fetched everything so that a safe copy of the statements is stored locally in the slave's relay logs, ready for execution the next time that the slave starts.
The SHOW PROCESSLIST
statement
provides information that tells you what is happening on the
master and on the slave regarding replication. For information on
master states, see Section 8.14.4, “Replication Master Thread States”. For
slave states, see Section 8.14.5, “Replication Slave I/O Thread States”, and
Section 8.14.6, “Replication Slave SQL Thread States”.
The following example illustrates how the three threads show up in
the output from SHOW PROCESSLIST
.
On the master server, the output from SHOW
PROCESSLIST
looks like this:
mysql> SHOW PROCESSLIST\G
*************************** 1. row ***************************
Id: 2
User: root
Host: localhost:32931
db: NULL
Command: Binlog Dump
Time: 94
State: Has sent all binlog to slave; waiting for binlog to
be updated
Info: NULL
Here, thread 2 is a Binlog Dump
replication
thread that services a connected slave. The
State
information indicates that all
outstanding updates have been sent to the slave and that the
master is waiting for more updates to occur. If you see no
Binlog Dump
threads on a master server, this
means that replication is not running; that is, no slaves are
currently connected.
On a slave server, the output from SHOW
PROCESSLIST
looks like this:
mysql> SHOW PROCESSLIST\G
*************************** 1. row ***************************
Id: 10
User: system user
Host:
db: NULL
Command: Connect
Time: 11
State: Waiting for master to send event
Info: NULL
*************************** 2. row ***************************
Id: 11
User: system user
Host:
db: NULL
Command: Connect
Time: 11
State: Has read all relay log; waiting for the slave I/O
thread to update it
Info: NULL
The State
information indicates that thread 10
is the I/O thread that is communicating with the master server,
and thread 11 is the SQL thread that is processing the updates
stored in the relay logs. At the time that
SHOW PROCESSLIST
was run, both
threads were idle, waiting for further updates.
The value in the Time
column can show how late
the slave is compared to the master. See
Section A.14, “MySQL 5.7 FAQ: Replication”. If sufficient time elapses on
the master side without activity on the Binlog
Dump
thread, the master determines that the slave is no
longer connected. As for any other client connection, the timeouts
for this depend on the values of
net_write_timeout
and
net_retry_count
; for more information about
these, see Section 5.1.7, “Server System Variables”.
The SHOW SLAVE STATUS
statement
provides additional information about replication processing on a
slave server. See
Section 16.1.7.1, “Checking Replication Status”.
In MySQL multi-source replication, a slave opens multiple replication channels, one for each master. The replication channels represent the path of transactions flowing from a master to the slave. Each replication channel has its own receiver (I/O) thread, one or more applier (SQL) threads, and relay log. When transactions from a master are received by a channel's receiver thread, they are added to the channel's relay log file and passed through to the channel's applier threads. This enables each channel to function independently.
This section describes how channels can be used in a replication topology, and the impact they have on single-source replication. For instructions to configure masters and slaves for multi-source replication, to start, stop and reset multi-source slaves, and to monitor multi-source replication, see Section 16.1.4, “MySQL Multi-Source Replication”.
The maximum number of channels that can be created on one slave in a multi-source replication topology is 256. Each replication channel must have a unique (nonempty) name, as explained in Section 16.2.3.4, “Replication Channel Naming Conventions”. The error codes and messages that are issued when multi-source replication is enabled specify the channel that generated the error.
Each channel on a multi-source replication slave must replicate from a different master. You cannot set up multiple replication channels from a single slave to a single master. This is because the server IDs of replication slaves must be unique in a replication topology. The master distinguishes slaves only by their server IDs, not by the names of the replication channels, so it cannot recognize different replication channels from the same slave.
A multi-source replication slave can also be set up as a
multi-threaded replication slave, by setting the
slave_parallel_workers
system
variable to a value greater than 0. When you do this on a
multi-source replication slave, each channel on the slave has the
specified number of applier threads, plus a coordinator thread to
manage them. You cannot configure the number of applier threads for
individual channels.
To provide compatibility with previous versions, the MySQL server
automatically creates on startup a default channel whose name is the
empty string (""
). This channel is always
present; it cannot be created or destroyed by the user. If no other
channels (having nonempty names) have been created, replication
statements act on the default channel only, so that all replication
statements from older slaves function as expected (see
Section 16.2.3.2, “Compatibility with Previous Replication Statements”. Statements
applying to replication channels as described in this section can be
used only when there is at least one named channel.
To enable MySQL replication operations to act on individual
replication channels, use the FOR CHANNEL
clause with the
following replication statements:
channel
Similarly, an additional channel
parameter is
introduced for the following functions:
The following statements are disallowed for the
group_replication_recovery
channel:
The following statements are disallowed for the
group_replication_applier
channel:
When a replication slave has multiple channels and a FOR
CHANNEL
option is not
specified, a valid statement generally acts on all available
channels, with some specific exceptions.
channel
For example, the following statements behave as expected for all except certain Group Replication channels:
START SLAVE
starts replication
threads for all channels, except the
group_replication_recovery
and
group_replication_applier
channels.
STOP SLAVE
stops replication
threads for all channels, except the
group_replication_recovery
and
group_replication_applier
channels.
SHOW SLAVE STATUS
reports the
status for all channels, except the
group_replication_applier
channel.
FLUSH RELAY
LOGS
flushes the relay logs for all channels, except
the group_replication_applier
channel.
RESET
SLAVE
resets all channels.
Use RESET SLAVE
with caution as this
statement deletes all existing channels, purges their relay log
files, and recreates only the default channel.
Some replication statements cannot operate on all channels. In
this case, error 1964 Multiple channels exist on the
slave. Please provide channel name as an argument. is
generated. The following statements and functions generate this
error when used in a multi-source replication topology and a
FOR CHANNEL
option is not used to specify which channel to act on:
channel
Note that a default channel always exists in a single source replication topology, where statements and functions behave as in previous versions of MySQL.
This section describes startup options which are impacted by the addition of replication channels.
The following startup settings must be configured correctly to use multi-source replication.
This must be set to TABLE
. If this variable
is set to FILE
, attempting to add more
sources to a slave fails with
ER_SLAVE_NEW_CHANNEL_WRONG_REPOSITORY
.
This must be set to TABLE
. If this variable
is set to FILE
, attempting to add more
sources to a slave fails with
ER_SLAVE_NEW_CHANNEL_WRONG_REPOSITORY
.
The following startup options now affect all channels in a replication topology.
All transactions received by the slave (even from multiple sources) are written in the binary log.
When set, each channel purges its own relay log automatically.
Applier threads of all channels retry transactions.
No replication threads start on any channels.
Execution continues and errors are skipped for all channels.
The values set for the following startup options apply on each channel; since these are mysqld startup options, they are applied on every channel.
--max-relay-log-size=
size
Maximum size of the individual relay log file for each channel; after reaching this limit, the file is rotated.
--relay-log-space-limit=
size
Upper limit for the total size of all relay logs combined, for
each individual channel. For N
channels, the combined size of these logs is limited to
relay_log_space_limit *
.
N
--slave-parallel-workers=
value
Number of slave parallel workers per channel.
Waiting time by an I/O thread for each source.
--relay-log-index=filename
Base name for each channel's relay log index file. See Section 16.2.3.4, “Replication Channel Naming Conventions”.
--relay-log=filename
Denotes the base name of each channel's relay log file. See Section 16.2.3.4, “Replication Channel Naming Conventions”.
--slave_net-timeout=N
This value is set per channel, so that each channel waits for
N
seconds to check for a broken
connection.
--slave-skip-counter=N
This value is set per channel, so that each channel skips
N
events from its master.
This section describes how naming conventions are impacted by replication channels.
Each replication channel has a unique name which is a string with a maximum length of 64 characters and is case-insensitive. Because channel names are used in slave tables, the character set used for these is always UTF-8. Although you are generally free to use any name for channels, the following names are reserved:
group_replication_applier
group_replication_recovery
The name you choose for a replication channel also influences the
file names used by a multi-source replication slave. The relay log
files and index files for each channel are named
,
where relay_log_basename
-channel
.xxxxxxrelay_log_basename
is a base name
specified using the relay_log
system variable, and channel
is the
name of the channel logged to this file. If you do not specify the
relay_log
system variable, a
default file name is used that also includes the name of the
channel.
During replication, a slave server creates several logs that hold the binary log events relayed from the master to the slave, and to record information about the current status and location within the relay log. There are three types of logs used in the process, listed here:
The master info log contains status and current configuration information for the slave's connection to the master. This log holds information on the master host name, login credentials, and coordinates indicating how far the slave has read from the master's binary log.
This log can be written to the
mysql.slave_master_info
table instead of a
file, by starting the slave with
master_info_repository=TABLE
.
The relay log consists of the events read from the binary log of the master and written by the slave I/O thread. Events in the relay log are executed on the slave as part of the SQL thread.
The relay log info log holds status information about the execution point within the slave's relay log.
This log can be written to the
mysql.slave_relay_log_info
table instead of
a file by starting the slave with
relay_log_info_repository=TABLE
.
When tables are used for the slave status logs, a warning is given if mysqld is unable to initialize the replication logging tables, but the slave is allowed to continue starting. This situation is most likely to occur when upgrading from a version of MySQL that does not support slave logging tables to one in which they are supported.
Do not attempt to update or insert rows in the
slave_master_info
or
slave_relay_log_info
table manually. Doing so
can cause undefined behavior, and is not supported.
Execution of any statement requiring a write lock on either or
both of the slave_master_info
and
slave_relay_log_info
tables is disallowed while
replication is ongoing, while statements that perform only reads
are permitted at any time.
If you set master_info_repository
and relay_log_info_repository
to
TABLE
, the
mysql.slave_master_info
and
mysql.slave_relay_log_info
tables are created
using the transactional storage engine
InnoDB
. As a table, updates to the
relay log info log are committed together with the transactions,
meaning that the slave's progress information recorded in that log
is always consistent with what has been applied to the database,
even in the event of an unexpected server halt. The
--relay-log-recovery
option must be
enabled on the slave to guarantee resilience. For more details,
see Section 16.3.2, “Handling an Unexpected Halt of a Replication Slave”.
The relay log, like the binary log, consists of a set of numbered files containing events that describe database changes, and an index file that contains the names of all used relay log files.
The term “relay log file” generally denotes an individual numbered file containing database events. The term “relay log” collectively denotes the set of numbered relay log files plus the index file.
Relay log files have the same format as binary log files and can be read using mysqlbinlog (see Section 4.6.7, “mysqlbinlog — Utility for Processing Binary Log Files”).
By default, relay log file names have the form
in the data directory, where
host_name
-relay-bin.nnnnnn
host_name
is the name of the slave
server host and nnnnnn
is a sequence
number. Successive relay log files are created using successive
sequence numbers, beginning with 000001
. The
slave uses an index file to track the relay log files currently
in use. The default relay log index file name is
in the data directory.
host_name
-relay-bin.index
The default relay log file and relay log index file names can be
overridden with, respectively, the
relay_log
and
relay_log_index
system
variables (see Section 16.1.6, “Replication and Binary Logging Options and Variables”).
If a slave uses the default host-based relay log file names,
changing a slave's host name after replication has been set up
can cause replication to fail with the errors Failed
to open the relay log and Could not find
target log during relay log initialization. This is
a known issue (see Bug #2122). If you anticipate that a slave's
host name might change in the future (for example, if networking
is set up on the slave such that its host name can be modified
using DHCP), you can avoid this issue entirely by using the
relay_log
and
relay_log_index
system
variables to specify relay log file names explicitly when you
initially set up the slave. This will make the names independent
of server host name changes.
If you encounter the issue after replication has already begun, one way to work around it is to stop the slave server, prepend the contents of the old relay log index file to the new one, and then restart the slave. On a Unix system, this can be done as shown here:
shell>cat
shell>new_relay_log_name
.index >>old_relay_log_name
.indexmv
old_relay_log_name
.indexnew_relay_log_name
.index
A slave server creates a new relay log file under the following conditions:
Each time the I/O thread starts.
When the logs are flushed (for example, with
FLUSH LOGS
or
mysqladmin flush-logs).
When the size of the current relay log file becomes “too large,” determined as follows:
If the value of
max_relay_log_size
is
greater than 0, that is the maximum relay log file size.
If the value of
max_relay_log_size
is
0, max_binlog_size
determines the maximum relay log file size.
The SQL thread automatically deletes each relay log file after
it has executed all events in the file and no longer needs it.
There is no explicit mechanism for deleting relay logs because
the SQL thread takes care of doing so. However,
FLUSH LOGS
rotates relay logs,
which influences when the SQL thread deletes them.
A replication slave server creates two logs. By default, these
logs are files named master.info
and
relay-log.info
and created in the data
directory. The names and locations of these files can be changed
by using the --master-info-file
option and relay_log_info_file
system variable, respectively. Either or both of these logs can
also be written to tables in the mysql
database by starting the server with the appropriate option: use
the master_info_repository
system variable to have the master info log written to the
mysql.slave_master_info
table, and use the
relay_log_info_repository
system variable to have the relay log info log written to the
mysql.slave_relay_log_info
table. See
Section 16.1.6, “Replication and Binary Logging Options and Variables”.
The two status logs contain information similar to that shown in
the output of the SHOW SLAVE
STATUS
statement, which is discussed in
Section 13.4.2, “SQL Statements for Controlling Slave Servers”. Because the
status logs are stored on disk, they survive a slave
server's shutdown. The next time the slave starts up, it
reads the two logs to determine how far it has proceeded in
reading binary logs from the master and in processing its own
relay logs.
Access to the master info log file or table should be restricted because it contains the password for connecting to the master. See Section 6.1.2.3, “Passwords and Logging”.
If you set
master_info_repository
and
relay_log_info_repository
to
TABLE
, the
mysql.slave_master_info
and
mysql.slave_relay_log_info
tables are created
using the InnoDB
transactional
storage engine. As a table, updates to the relay log info log
are committed together with the transactions, meaning that the
slave's progress information recorded in that log is always
consistent with what has been applied to the database, even in
the event of an unexpected server halt. The
--relay-log-recovery
option must
be enabled on the slave to guarantee resilience. For more
details, see
Section 16.3.2, “Handling an Unexpected Halt of a Replication Slave”.
One additional slave status log is created primarily for
internal use, and holds status information about worker threads
on a multithreaded replication slave. This slave worker log
includes the names and positions for the relay log file and
master binary log file for each worker thread. If the relay log
info log for the slave is created as a table, the slave worker
log is written to the mysql.slave_worker_info
table. If the relay log info log is written to a file, the slave
worker log is written to the
worker-relay-log.info
file. For external
use, status information for worker threads is presented in the
Performance Schema
replication_applier_status_by_worker
table.
The slave I/O thread updates the master info log. The following
table shows the correspondence between the lines in the
master.info
file, the columns in the
mysql.slave_master_info
table, and the
columns displayed by SHOW SLAVE
STATUS
.
master.info File Line |
slave_master_info Table Column |
SHOW SLAVE STATUS Column |
Description |
---|---|---|---|
1 | Number_of_lines |
[None] | Number of lines in the file, or columns in the table |
2 | Master_log_name |
Master_Log_File |
The name of the master binary log currently being read from the master |
3 | Master_log_pos |
Read_Master_Log_Pos |
The current position within the master binary log that have been read from the master |
4 | Host |
Master_Host |
The host name of the master |
5 | User_name |
Master_User |
The user name used to connect to the master |
6 | User_password |
Password (not shown by SHOW SLAVE STATUS ) |
The password used to connect to the master |
7 | Port |
Master_Port |
The network port used to connect to the master |
8 | Connect_retry |
Connect_Retry |
The period (in seconds) that the slave will wait before trying to reconnect to the master |
9 | Enabled_ssl |
Master_SSL_Allowed |
Indicates whether the server supports SSL connections |
10 | Ssl_ca |
Master_SSL_CA_File |
The file used for the Certificate Authority (CA) certificate |
11 | Ssl_capath |
Master_SSL_CA_Path |
The path to the Certificate Authority (CA) certificates |
12 | Ssl_cert |
Master_SSL_Cert |
The name of the SSL certificate file |
13 | Ssl_cipher |
Master_SSL_Cipher |
The list of possible ciphers used in the handshake for the SSL connection |
14 | Ssl_key |
Master_SSL_Key |
The name of the SSL key file |
15 | Ssl_verify_server_cert |
Master_SSL_Verify_Server_Cert |
Whether to verify the server certificate |
16 | Heartbeat |
[None] | Interval between replication heartbeats, in seconds |
17 | Bind |
Master_Bind |
Which of the slave's network interfaces should be used for connecting to the master |
18 | Ignored_server_ids |
Replicate_Ignore_Server_Ids |
The list of server IDs to be ignored. Note that for
Ignored_server_ids the list of server
IDs is preceded by the total number of server IDs to
ignore. |
19 | Uuid |
Master_UUID |
The master's unique ID |
20 | Retry_count |
Master_Retry_Count |
Maximum number of reconnection attempts permitted |
21 | Ssl_crl |
[None] | Path to an SSL certificate revocation-list file |
22 | Ssl_crlpath |
[None] | Path to a directory containing SSL certificate revocation-list files |
23 | Enabled_auto_position |
Auto_position |
If autopositioning is in use or not |
24 | Channel_name |
Channel_name |
The name of the replication channel |
25 | Tls_version |
Master_TLS_Version |
TLS version on master |
The slave SQL thread updates the relay log info log. The
relay-log.info
file includes a line count
and a replication delay value. The following table shows the
correspondence between the lines in the
relay-log.info
file, the columns in the
mysql.slave_relay_log_info
table, and the
columns displayed by SHOW SLAVE
STATUS
.
Line in relay-log.info |
slave_relay_log_info Table Column |
SHOW SLAVE STATUS Column |
Description |
---|---|---|---|
1 | Number_of_lines |
[None] | Number of lines in the file or columns in the table |
2 | Relay_log_name |
Relay_Log_File |
The name of the current relay log file |
3 | Relay_log_pos |
Relay_Log_Pos |
The current position within the relay log file; events up to this position have been executed on the slave database |
4 | Master_log_name |
Relay_Master_Log_File |
The name of the master binary log file from which the events in the relay log file were read |
5 | Master_log_pos |
Exec_Master_Log_Pos |
The equivalent position within the master's binary log file of events that have already been executed |
6 | Sql_delay |
SQL_Delay |
The number of seconds that the slave must lag the master |
7 | Number_of_workers |
[None] | The number of slave worker threads for executing replication events (transactions) in parallel |
8 | Id |
[None] | ID used for internal purposes; currently this is always 1 |
9 | Channel_name |
Channel_name | The name of the replication channel |
In versions of MySQL prior to MySQL 5.6, the
relay-log.info
file does not include a line
count or a delay value (and the
slave_relay_log_info
table is not available).
Line | Status Column | Description |
---|---|---|
1 | Relay_Log_File |
The name of the current relay log file |
2 | Relay_Log_Pos |
The current position within the relay log file; events up to this position have been executed on the slave database |
3 | Relay_Master_Log_File |
The name of the master binary log file from which the events in the relay log file were read |
4 | Exec_Master_Log_Pos |
The equivalent position within the master's binary log file of events that have already been executed |
If you downgrade a slave server to a version older than MySQL
5.6, the older server does not read the
relay-log.info
file correctly. To address
this, modify the file in a text editor by deleting the initial
line containing the number of lines.
The contents of the relay-log.info
file and
the states shown by the SHOW SLAVE
STATUS
statement might not match if the
relay-log.info
file has not been flushed to
disk. Ideally, you should only view
relay-log.info
on a slave that is offline
(that is, mysqld
is not running). For a
running system, you can use SHOW SLAVE
STATUS
, or query the
slave_master_info
and
slave_relay_log_info
tables if you are
writing the status logs to tables.
When you back up the slave's data, you should back up these
two status logs, along with the relay log files. The status logs
are needed to resume replication after you restore the data from
the slave. If you lose the relay logs but still have the relay
log info log, you can check it to determine how far the SQL
thread has executed in the master binary logs. Then you can use
CHANGE MASTER TO
with the
MASTER_LOG_FILE
and
MASTER_LOG_POS
options to tell the slave to
re-read the binary logs from that point. Of course, this
requires that the binary logs still exist on the master.
If a master server does not write a statement to its binary log, the statement is not replicated. If the server does log the statement, the statement is sent to all slaves and each slave determines whether to execute it or ignore it.
On the master, you can control which databases to log changes for
by using the --binlog-do-db
and
--binlog-ignore-db
options to
control binary logging. For a description of the rules that
servers use in evaluating these options, see
Section 16.2.5.1, “Evaluation of Database-Level Replication and Binary Logging Options”. You should not use
these options to control which databases and tables are
replicated. Instead, use filtering on the slave to control the
events that are executed on the slave.
On the slave side, decisions about whether to execute or ignore
statements received from the master are made according to the
--replicate-*
options that the slave was started
with. (See Section 16.1.6, “Replication and Binary Logging Options and Variables”.) The filters
governed by these options can also be set dynamically using the
CHANGE REPLICATION FILTER
statement. The rules
governing such filters are the same whether they are created on
startup using --replicate-*
options or while the
slave server is running by CHANGE REPLICATION
FILTER
. Note that replication filters cannot be used on
a MySQL server instance that is configured for Group Replication,
because filtering transactions on some servers would make the
group unable to reach agreement on a consistent state.
In the simplest case, when there are no
--replicate-*
options, the slave executes all
statements that it receives from the master. Otherwise, the result
depends on the particular options given.
Database-level options
(--replicate-do-db
,
--replicate-ignore-db
) are checked
first; see Section 16.2.5.1, “Evaluation of Database-Level Replication and Binary Logging Options”, for a
description of this process. If no database-level options are
used, option checking proceeds to any table-level options that may
be in use (see Section 16.2.5.2, “Evaluation of Table-Level Replication Options”,
for a discussion of these). If one or more database-level options
are used but none are matched, the statement is not replicated.
For statements affecting databases only (that is,
CREATE DATABASE
,
DROP DATABASE
, and
ALTER DATABASE
), database-level
options always take precedence over any
--replicate-wild-do-table
options.
In other words, for such statements,
--replicate-wild-do-table
options
are checked if and only if there are no database-level options
that apply. This is a change in behavior from previous versions of
MySQL, where the statement
CREATE DATABASE
dbx
was not replicated if the slave had been started
with --replicate-do-db=dbx
--replicate-wild-do-table=db%.t1
.
(Bug #46110)
To make it easier to determine what effect an option set will have, it is recommended that you avoid mixing “do” and “ignore” options, or wildcard and nonwildcard options.
If any --replicate-rewrite-db
options were specified, they are applied before the
--replicate-*
filtering rules are tested.
All replication filtering options follow the same rules for case
sensitivity that apply to names of databases and tables
elsewhere in the MySQL server, including the effects of the
lower_case_table_names
system
variable.
When evaluating replication options, the slave begins by
checking to see whether there are any
--replicate-do-db
or
--replicate-ignore-db
options
that apply. When using
--binlog-do-db
or
--binlog-ignore-db
, the process
is similar, but the options are checked on the master.
The database that is checked for a match depends on the binary
log format of the statement that is being handled. If the
statement has been logged using the row format, the database
where data is to be changed is the database that is checked. If
the statement has been logged using the statement format, the
default database (specified with a
USE
statement) is the database
that is checked.
Only DML statements can be logged using the row format. DDL
statements are always logged as statements, even when
binlog_format=ROW
. All DDL
statements are therefore always filtered according to the
rules for statement-based replication. This means that you
must select the default database explicitly with a
USE
statement in order for a
DDL statement to be applied.
For replication, the steps involved are listed here:
Which logging format is used?
STATEMENT. Test the default database.
ROW. Test the database affected by the changes.
Are there any
--replicate-do-db
options?
Yes. Does the database match any of them?
Yes. Continue to Step 4.
No. Ignore the update and exit.
No. Continue to step 3.
Are there any
--replicate-ignore-db
options?
Yes. Does the database match any of them?
Yes. Ignore the update and exit.
No. Continue to step 4.
No. Continue to step 4.
Proceed to checking the table-level replication options, if there are any. For a description of how these options are checked, see Section 16.2.5.2, “Evaluation of Table-Level Replication Options”.
A statement that is still permitted at this stage is not yet actually executed. The statement is not executed until all table-level options (if any) have also been checked, and the outcome of that process permits execution of the statement.
For binary logging, the steps involved are listed here:
Are there any --binlog-do-db
or --binlog-ignore-db
options?
Yes. Continue to step 2.
No. Log the statement and exit.
Is there a default database (has any database been selected
by USE
)?
Yes. Continue to step 3.
No. Ignore the statement and exit.
There is a default database. Are there any
--binlog-do-db
options?
Yes. Do any of them match the database?
Yes. Log the statement and exit.
No. Ignore the statement and exit.
No. Continue to step 4.
Do any of the
--binlog-ignore-db
options
match the database?
Yes. Ignore the statement and exit.
No. Log the statement and exit.
For statement-based logging, an exception is made in the rules
just given for the CREATE
DATABASE
, ALTER
DATABASE
, and DROP
DATABASE
statements. In those cases, the database
being created, altered, or dropped
replaces the default database when determining whether to log
or ignore updates.
--binlog-do-db
can sometimes mean
“ignore other databases”. For example, when using
statement-based logging, a server running with only
--binlog-do-db=sales
does not
write to the binary log statements for which the default
database differs from sales
. When using
row-based logging with the same option, the server logs only
those updates that change data in sales
.
The slave checks for and evaluates table options only if either of the following two conditions is true:
No matching database options were found.
One or more database options were found, and were evaluated to arrive at an “execute” condition according to the rules described in the previous section (see Section 16.2.5.1, “Evaluation of Database-Level Replication and Binary Logging Options”).
First, as a preliminary condition, the slave checks whether statement-based replication is enabled. If so, and the statement occurs within a stored function, the slave executes the statement and exits. If row-based replication is enabled, the slave does not know whether a statement occurred within a stored function on the master, so this condition does not apply.
For statement-based replication, replication events represent
statements (all changes making up a given event are associated
with a single SQL statement); for row-based replication, each
event represents a change in a single table row (thus a single
statement such as UPDATE mytable SET mycol =
1
may yield many row-based events). When viewed in
terms of events, the process of checking table options is the
same for both row-based and statement-based replication.
Having reached this point, if there are no table options, the
slave simply executes all events. If there are any
--replicate-do-table
or
--replicate-wild-do-table
options, the event must match one of these if it is to be
executed; otherwise, it is ignored. If there are any
--replicate-ignore-table
or
--replicate-wild-ignore-table
options, all events are executed except those that match any of
these options.
The following steps describe this evaluation in more detail. The starting point is the end of the evaluation of the database-level options, as described in Section 16.2.5.1, “Evaluation of Database-Level Replication and Binary Logging Options”.
Are there any table replication options?
Yes. Continue to step 2.
No. Execute the update and exit.
Which logging format is used?
STATEMENT. Carry out the remaining steps for each statement that performs an update.
ROW. Carry out the remaining steps for each update of a table row.
Are there any
--replicate-do-table
options?
Yes. Does the table match any of them?
Yes. Execute the update and exit.
No. Continue to step 4.
No. Continue to step 4.
Are there any
--replicate-ignore-table
options?
Yes. Does the table match any of them?
Yes. Ignore the update and exit.
No. Continue to step 5.
No. Continue to step 5.
Are there any
--replicate-wild-do-table
options?
Yes. Does the table match any of them?
Yes. Execute the update and exit.
No. Continue to step 6.
No. Continue to step 6.
Are there any
--replicate-wild-ignore-table
options?
Yes. Does the table match any of them?
Yes. Ignore the update and exit.
No. Continue to step 7.
No. Continue to step 7.
Is there another table to be tested?
Yes. Go back to step 3.
No. Continue to step 8.
Are there any
--replicate-do-table
or
--replicate-wild-do-table
options?
Yes. Ignore the update and exit.
No. Execute the update and exit.
Statement-based replication stops if a single SQL statement
operates on both a table that is included by a
--replicate-do-table
or
--replicate-wild-do-table
option, and another table that is ignored by a
--replicate-ignore-table
or
--replicate-wild-ignore-table
option. The slave must either execute or ignore the complete
statement (which forms a replication event), and it cannot
logically do this. This also applies to row-based replication
for DDL statements, because DDL statements are always logged
as statements, without regard to the logging format in effect.
The only type of statement that can update both an included
and an ignored table and still be replicated successfully is a
DML statement that has been logged with
binlog_format=ROW
.
This section provides additional explanation and examples of usage for different combinations of replication filtering options.
Some typical combinations of replication filter rule types are given in the following table:
Condition (Types of Options) | Outcome |
---|---|
No --replicate-* options at all: |
The slave executes all events that it receives from the master. |
--replicate-*-db options, but no table options: |
The slave accepts or ignores events using the database options. It executes all events permitted by those options because there are no table restrictions. |
--replicate-*-table options, but no database options: |
All events are accepted at the database-checking stage because there are no database conditions. The slave executes or ignores events based solely on the table options. |
A combination of database and table options: | The slave accepts or ignores events using the database options. Then it evaluates all events permitted by those options according to the table options. This can sometimes lead to results that seem counterintuitive, and that may be different depending on whether you are using statement-based or row-based replication; see the text for an example. |
A more complex example follows, in which we examine the outcomes for both statement-based and row-based settings.
Suppose that we have two tables mytbl1
in
database db1
and mytbl2
in
database db2
on the master, and the slave is
running with the following options (and no other replication
filtering options):
replicate-ignore-db = db1 replicate-do-table = db2.tbl2
Now we execute the following statements on the master:
USE db1; INSERT INTO db2.tbl2 VALUES (1);
The results on the slave vary considerably depending on the binary log format, and may not match initial expectations in either case.
Statement-based replication.
The USE
statement causes
db1
to be the default database. Thus the
--replicate-ignore-db
option
matches, and the
INSERT
statement is
ignored. The table options are not checked.
Row-based replication.
The default database has no effect on how the slave reads
database options when using row-based replication. Thus, the
USE
statement makes no
difference in how the
--replicate-ignore-db
option is
handled: the database specified by this option does not match
the database where the INSERT
statement changes data, so the slave proceeds to check the
table options. The table specified by
--replicate-do-table
matches
the table to be updated, and the row is
inserted.
Replication can be used in many different environments for a range of purposes. This section provides general notes and advice on using replication for specific solution types.
For information on using replication in a backup environment, including notes on the setup, backup procedure, and files to back up, see Section 16.3.1, “Using Replication for Backups”.
For advice and tips on using different storage engines on the master and slaves, see Section 16.3.3, “Using Replication with Different Master and Slave Storage Engines”.
Using replication as a scale-out solution requires some changes in the logic and operation of applications that use the solution. See Section 16.3.4, “Using Replication for Scale-Out”.
For performance or data distribution reasons, you may want to replicate different databases to different replication slaves. See Section 16.3.5, “Replicating Different Databases to Different Slaves”
As the number of replication slaves increases, the load on the master can increase and lead to reduced performance (because of the need to replicate the binary log to each slave). For tips on improving your replication performance, including using a single secondary server as a replication master, see Section 16.3.6, “Improving Replication Performance”.
For guidance on switching masters, or converting slaves into masters as part of an emergency failover solution, see Section 16.3.7, “Switching Masters During Failover”.
To secure your replication communication, you can encrypt the communication channel. For step-by-step instructions, see Section 16.3.8, “Setting Up Replication to Use Encrypted Connections”.
To use replication as a backup solution, replicate data from the master to a slave, and then back up the data slave. The slave can be paused and shut down without affecting the running operation of the master, so you can produce an effective snapshot of “live” data that would otherwise require the master to be shut down.
How you back up a database depends on its size and whether you are backing up only the data, or the data and the replication slave state so that you can rebuild the slave in the event of failure. There are therefore two choices:
If you are using replication as a solution to enable you to back up the data on the master, and the size of your database is not too large, the mysqldump tool may be suitable. See Section 16.3.1.1, “Backing Up a Slave Using mysqldump”.
For larger databases, where mysqldump would be impractical or inefficient, you can back up the raw data files instead. Using the raw data files option also means that you can back up the binary and relay logs that will enable you to recreate the slave in the event of a slave failure. For more information, see Section 16.3.1.2, “Backing Up Raw Data from a Slave”.
Another backup strategy, which can be used for either master or slave servers, is to put the server in a read-only state. The backup is performed against the read-only server, which then is changed back to its usual read/write operational status. See Section 16.3.1.3, “Backing Up a Master or Slave by Making It Read Only”.
Using mysqldump to create a copy of a database enables you to capture all of the data in the database in a format that enables the information to be imported into another instance of MySQL Server (see Section 4.5.4, “mysqldump — A Database Backup Program”). Because the format of the information is SQL statements, the file can easily be distributed and applied to running servers in the event that you need access to the data in an emergency. However, if the size of your data set is very large, mysqldump may be impractical.
When using mysqldump, you should stop replication on the slave before starting the dump process to ensure that the dump contains a consistent set of data:
Stop the slave from processing requests. You can stop replication completely on the slave using mysqladmin:
shell> mysqladmin stop-slave
Alternatively, you can stop only the slave SQL thread to pause event execution:
shell> mysql -e 'STOP SLAVE SQL_THREAD;'
This enables the slave to continue to receive data change events from the master's binary log and store them in the relay logs using the I/O thread, but prevents the slave from executing these events and changing its data. Within busy replication environments, permitting the I/O thread to run during backup may speed up the catch-up process when you restart the slave SQL thread.
Run mysqldump to dump your databases. You may either dump all databases or select databases to be dumped. For example, to dump all databases:
shell> mysqldump --all-databases > fulldb.dump
Once the dump has completed, start slave operations again:
shell> mysqladmin start-slave
In the preceding example, you may want to add login credentials (user name, password) to the commands, and bundle the process up into a script that you can run automatically each day.
If you use this approach, make sure you monitor the slave replication process to ensure that the time taken to run the backup does not affect the slave's ability to keep up with events from the master. See Section 16.1.7.1, “Checking Replication Status”. If the slave is unable to keep up, you may want to add another slave and distribute the backup process. For an example of how to configure this scenario, see Section 16.3.5, “Replicating Different Databases to Different Slaves”.
To guarantee the integrity of the files that are copied, backing
up the raw data files on your MySQL replication slave should
take place while your slave server is shut down. If the MySQL
server is still running, background tasks may still be updating
the database files, particularly those involving storage engines
with background processes such as InnoDB
.
With InnoDB
, these problems should be
resolved during crash recovery, but since the slave server can
be shut down during the backup process without affecting the
execution of the master it makes sense to take advantage of this
capability.
To shut down the server and back up the files:
Shut down the slave MySQL server:
shell> mysqladmin shutdown
Copy the data files. You can use any suitable copying or archive utility, including cp, tar or WinZip. For example, assuming that the data directory is located under the current directory, you can archive the entire directory as follows:
shell> tar cf /tmp/dbbackup.tar ./data
Start the MySQL server again. Under Unix:
shell> mysqld_safe &
Under Windows:
C:\> "C:\Program Files\MySQL\MySQL Server 5.7\bin\mysqld"
Normally you should back up the entire data directory for the slave MySQL server. If you want to be able to restore the data and operate as a slave (for example, in the event of failure of the slave), then in addition to the slave's data, you should also back up the slave status files, the master info and relay log info repositories, and the relay log files. These files are needed to resume replication after you restore the slave's data.
If you lose the relay logs but still have the
relay-log.info
file, you can check it to
determine how far the SQL thread has executed in the master
binary logs. Then you can use CHANGE MASTER
TO
with the MASTER_LOG_FILE
and
MASTER_LOG_POS
options to tell the slave to
re-read the binary logs from that point. This requires that the
binary logs still exist on the master server.
If your slave is replicating LOAD
DATA
statements, you should also back up any
SQL_LOAD-*
files that exist in the
directory that the slave uses for this purpose. The slave needs
these files to resume replication of any interrupted
LOAD DATA
operations. The
location of this directory is the value of the
slave_load_tmpdir
system
variable. If the server was not started with that variable set,
the directory location is the value of the
tmpdir
system variable.
It is possible to back up either master or slave servers in a
replication setup by acquiring a global read lock and
manipulating the read_only
system variable to change the read-only state of the server to
be backed up:
Make the server read-only, so that it processes only retrievals and blocks updates.
Perform the backup.
Change the server back to its normal read/write state.
The instructions in this section place the server to be backed up in a state that is safe for backup methods that get the data from the server, such as mysqldump (see Section 4.5.4, “mysqldump — A Database Backup Program”). You should not attempt to use these instructions to make a binary backup by copying files directly because the server may still have modified data cached in memory and not flushed to disk.
The following instructions describe how to do this for a master server and for a slave server. For both scenarios discussed here, suppose that you have the following replication setup:
A master server M1
A slave server S1 that has M1 as its master
A client C1 connected to M1
A client C2 connected to S1
In either scenario, the statements to acquire the global read
lock and manipulate the
read_only
variable are
performed on the server to be backed up and do not propagate to
any slaves of that server.
Scenario 1: Backup with a Read-Only Master
Put the master M1 in a read-only state by executing these statements on it:
mysql>FLUSH TABLES WITH READ LOCK;
mysql>SET GLOBAL read_only = ON;
While M1 is in a read-only state, the following properties are true:
Requests for updates sent by C1 to M1 will block because the server is in read-only mode.
Requests for query results sent by C1 to M1 will succeed.
Making a backup on M1 is safe.
Making a backup on S1 is not safe. This server is still running, and might be processing the binary log or update requests coming from client C2
While M1 is read only, perform the backup. For example, you can use mysqldump.
After the backup operation on M1 completes, restore M1 to its normal operational state by executing these statements:
mysql>SET GLOBAL read_only = OFF;
mysql>UNLOCK TABLES;
Although performing the backup on M1 is safe (as far as the backup is concerned), it is not optimal for performance because clients of M1 are blocked from executing updates.
This strategy applies to backing up a master server in a replication setup, but can also be used for a single server in a nonreplication setting.
Scenario 2: Backup with a Read-Only Slave
Put the slave S1 in a read-only state by executing these statements on it:
mysql>FLUSH TABLES WITH READ LOCK;
mysql>SET GLOBAL read_only = ON;
While S1 is in a read-only state, the following properties are true:
The master M1 will continue to operate, so making a backup on the master is not safe.
The slave S1 is stopped, so making a backup on the slave S1 is safe.
These properties provide the basis for a popular backup scenario: Having one slave busy performing a backup for a while is not a problem because it does not affect the entire network, and the system is still running during the backup. In particular, clients can still perform updates on the master server, which remains unaffected by backup activity on the slave.
While S1 is read only, perform the backup. For example, you can use mysqldump.
After the backup operation on S1 completes, restore S1 to its normal operational state by executing these statements:
mysql>SET GLOBAL read_only = OFF;
mysql>UNLOCK TABLES;
After the slave is restored to normal operation, it again synchronizes to the master by catching up with any outstanding updates from the binary log of the master.
In order for replication to be resilient to unexpected halts of the server (sometimes described as crash-safe) it must be possible for the slave to recover its state before halting. This section describes the impact of an unexpected halt of a slave during replication and how to configure a slave for the best chance of recovery to continue replication.
After an unexpected halt of a replication slave, upon restart the
slave's SQL thread must recover which transactions have been
executed already. The information required for recovery is stored
in the slave's relay log info log. In older MySQL Server versions,
this log could only be created as a file in the data directory
that was updated after the transaction had been applied. This held
the risk of losing synchrony with the master depending at which
stage of processing a transaction the slave halted at, or even
corruption of the file itself. In MySQL 5.7 you can
instead use an InnoDB
table to store
the relay log info log. By using this transactional storage engine
the information is always recoverable upon restart. As a table,
updates to the relay log info log are committed together with the
transactions, meaning that the slave's progress information
recorded in that log is always consistent with what has been
applied to the database, even in the event of an unexpected server
halt.
To configure MySQL 5.7 to store the relay log info
log as an InnoDB
table, set the
system variable
relay_log_info_repository
to
TABLE
. The server then stores information
required for the recovery of the slave's SQL thread in the
mysql.slave_relay_log_info
table. For further
information on the slave logs, see Section 16.2.4, “Replication Relay and Status Logs”.
Exactly how a replication slave recovers from an unexpected halt
is influenced by the chosen method of replication, whether the
slave is single-threaded or multithreaded, the setting of
variables such as
relay_log_recovery
, and whether
features such as MASTER_AUTO_POSITION
are being
used.
The following table shows the impact of these different factors on how a single-threaded slave recovers from an unexpected halt.
Table 16.3 Factors Influencing Single-threaded Replication Slave Recovery
GTID |
MASTER_AUTO_POSITION |
Crash type |
Recovery guaranteed |
Relay log impact |
||
---|---|---|---|---|---|---|
OFF |
OFF |
1 |
TABLE |
Server |
Yes |
Lost |
OFF |
OFF |
1 |
Any |
OS |
No |
Lost |
OFF |
OFF |
0 |
TABLE |
Server |
Yes |
Remains |
OFF |
OFF |
0 |
TABLE |
OS |
No |
Remains |
ON |
ON |
1 |
Any |
Any |
Yes |
Lost |
ON |
OFF |
0 |
TABLE |
Server |
Yes |
Remains |
ON |
OFF |
0 |
Any |
OS |
No |
Remains |
As the table shows, when using a single-threaded slave the following configurations are most resilient to unexpected halts:
When using GTIDs and MASTER_AUTO_POSITION
,
set relay_log_recovery=1
.
With this configuration the setting of
relay_log_info_repository
and
other variables does not impact on recovery. Note that to
guarantee recovery,
sync_binlog=1
(which is the
default) must also be set on the slave, so that the slave's
binary log is synchronized to disk at each write. Otherwise,
committed transactions might not be present in the slave's
binary log.
When using file position based replication, set
relay_log_recovery=1
and
relay_log_info_repository=TABLE
.
During recovery the relay log is lost.
The following table shows the impact of these different factors on how a multithreaded slave recovers from an unexpected halt.
Table 16.4 Factors Influencing Multithreaded Replication Slave Recovery
GTID |
|
Crash type |
Recovery guaranteed |
Relay log impact |
|||
---|---|---|---|---|---|---|---|
OFF |
1 |
OFF |
1 |
TABLE |
Any |
Yes |
Lost |
OFF |
>1 |
OFF |
1 |
TABLE |
Server |
Yes |
Lost |
OFF |
>1 |
OFF |
1 |
Any |
OS |
No |
Lost |
OFF |
1 |
OFF |
0 |
TABLE |
Server |
Yes |
Remains |
OFF |
1 |
OFF |
0 |
TABLE |
OS |
No |
Remains |
ON |
Any | ON |
1 |
Any |
Any |
Yes |
Lost |
ON |
1 |
OFF |
0 |
TABLE |
Server |
Yes |
Remains |
ON |
1 |
OFF |
0 |
Any |
OS |
No |
Remains |
As the table shows, when using a multithreaded slave the following configurations are most resilient to unexpected halts:
When using GTIDs and
MASTER_AUTO_POSITION=ON
, set
relay_log_recovery=1
. With
this configuration the setting of
relay_log_info_repository
and
other variables does not impact on recovery. From MySQL 5.7.28
a multithreaded slave automatically skips relay log recovery
when MASTER_AUTO_POSITION
is set to
ON
, so the setting for
relay_log_recovery
makes no
difference.
When using file position based replication, set
relay_log_recovery=1
,
sync_relay_log=1
, and
relay_log_info_repository=TABLE
.
During recovery the relay log is lost.
It is important to note the impact of
sync_relay_log=1
, which requires
a write of to the relay log per transaction. Although this setting
is the most resilient to an unexpected halt, with at most one
unwritten transaction being lost, it also has the potential to
greatly increase the load on storage. Without
sync_relay_log=1
, the effect of
an unexpected halt depends on how the relay log is handled by the
operating system. Also note that when
relay_log_recovery=0
, the next
time the slave is started after an unexpected halt the relay log
is processed as part of recovery. After this process completes,
the relay log is deleted.
An unexpected halt of a multithreaded replication slave using the
recommended file position based replication configuration above
may result in a relay log with transaction inconsistencies (gaps
in the sequence of transactions) caused by the unexpected halt.
See
Section 16.4.1.32, “Replication and Transaction Inconsistencies”.
In MySQL 5.7.13 and later, if the relay log recovery process
encounters such transaction inconsistencies they are filled and
the recovery process continues automatically. In MySQL versions
prior to MySQL 5.7.13, this process was not automatic and required
starting the server with
relay_log_recovery=0
, starting
the slave with START
SLAVE UNTIL SQL_AFTER_MTS_GAPS
to fix any transaction
inconsistencies, and then restarting the slave with
relay_log_recovery=1
.
When you are using multi-source replication and
relay_log_recovery=1
, after
restarting due to an unexpected halt all replication channels go
through the relay log recovery process. Any inconsistencies found
in the relay log due to an unexpected halt of a multithreaded
slave are filled.
It does not matter for the replication process whether the source
table on the master and the replicated table on the slave use
different engine types. In fact, the
default_storage_engine
and
storage_engine
system variables
are not replicated.
This provides a number of benefits in the replication process in
that you can take advantage of different engine types for
different replication scenarios. For example, in a typical
scale-out scenario (see
Section 16.3.4, “Using Replication for Scale-Out”), you want to use
InnoDB
tables on the master to take advantage
of the transactional functionality, but use
MyISAM
on the slaves where transaction support
is not required because the data is only read. When using
replication in a data-logging environment you may want to use the
Archive
storage engine on the slave.
Configuring different engines on the master and slave depends on how you set up the initial replication process:
If you used mysqldump to create the database snapshot on your master, you could edit the dump file text to change the engine type used on each table.
Another alternative for mysqldump is to
disable engine types that you do not want to use on the slave
before using the dump to build the data on the slave. For
example, you can add the
--skip-federated
option on your slave to disable the
FEDERATED
engine. If a specific engine does
not exist for a table to be created, MySQL will use the
default engine type, usually MyISAM
. (This
requires that the
NO_ENGINE_SUBSTITUTION
SQL
mode is not enabled.) If you want to disable additional
engines in this way, you may want to consider building a
special binary to be used on the slave that only supports the
engines you want.
If you are using raw data files (a binary backup) to set up
the slave, you will be unable to change the initial table
format. Instead, use ALTER
TABLE
to change the table types after the slave has
been started.
For new master/slave replication setups where there are currently no tables on the master, avoid specifying the engine type when creating new tables.
If you are already running a replication solution and want to convert your existing tables to another engine type, follow these steps:
Stop the slave from running replication updates:
mysql> STOP SLAVE;
This will enable you to change engine types without interruptions.
Execute an ALTER TABLE ...
ENGINE='
for
each table to be changed.
engine_type
'
Start the slave replication process again:
mysql> START SLAVE;
Although the
default_storage_engine
variable
is not replicated, be aware that CREATE
TABLE
and ALTER TABLE
statements that include the engine specification will be correctly
replicated to the slave. For example, if you have a CSV table and
you execute:
mysql> ALTER TABLE csvtable Engine='MyISAM';
The above statement will be replicated to the slave and the engine
type on the slave will be converted to MyISAM
,
even if you have previously changed the table type on the slave to
an engine other than CSV. If you want to retain engine differences
on the master and slave, you should be careful to use the
default_storage_engine
variable
on the master when creating a new table. For example, instead of:
mysql> CREATE TABLE tablea (columna int) Engine=MyISAM;
Use this format:
mysql>SET default_storage_engine=MyISAM;
mysql>CREATE TABLE tablea (columna int);
When replicated, the
default_storage_engine
variable
will be ignored, and the CREATE
TABLE
statement will execute on the slave using the
slave's default engine.
You can use replication as a scale-out solution; that is, where you want to split up the load of database queries across multiple database servers, within some reasonable limitations.
Because replication works from the distribution of one master to one or more slaves, using replication for scale-out works best in an environment where you have a high number of reads and low number of writes/updates. Most websites fit into this category, where users are browsing the website, reading articles, posts, or viewing products. Updates only occur during session management, or when making a purchase or adding a comment/message to a forum.
Replication in this situation enables you to distribute the reads over the replication slaves, while still enabling your web servers to communicate with the replication master when a write is required. You can see a sample replication layout for this scenario in Figure 16.1, “Using Replication to Improve Performance During Scale-Out”.
If the part of your code that is responsible for database access has been properly abstracted/modularized, converting it to run with a replicated setup should be very smooth and easy. Change the implementation of your database access to send all writes to the master, and to send reads to either the master or a slave. If your code does not have this level of abstraction, setting up a replicated system gives you the opportunity and motivation to clean it up. Start by creating a wrapper library or module that implements the following functions:
safe_writer_connect()
safe_reader_connect()
safe_reader_statement()
safe_writer_statement()
safe_
in each function name means that the
function takes care of handling all error conditions. You can use
different names for the functions. The important thing is to have
a unified interface for connecting for reads, connecting for
writes, doing a read, and doing a write.
Then convert your client code to use the wrapper library. This may be a painful and scary process at first, but it pays off in the long run. All applications that use the approach just described are able to take advantage of a master/slave configuration, even one involving multiple slaves. The code is much easier to maintain, and adding troubleshooting options is trivial. You need modify only one or two functions (for example, to log how long each statement took, or which statement among those issued gave you an error).
If you have written a lot of code, you may want to automate the conversion task by using the replace utility that comes with standard MySQL distributions, or write your own conversion script. Ideally, your code uses consistent programming style conventions. If not, then you are probably better off rewriting it anyway, or at least going through and manually regularizing it to use a consistent style.
There may be situations where you have a single master and want to replicate different databases to different slaves. For example, you may want to distribute different sales data to different departments to help spread the load during data analysis. A sample of this layout is shown in Figure 16.2, “Using Replication to Replicate Databases to Separate Replication Slaves”.
You can achieve this separation by configuring the master and
slaves as normal, and then limiting the binary log statements that
each slave processes by using the
--replicate-wild-do-table
configuration option on each slave.
You should not use
--replicate-do-db
for this
purpose when using statement-based replication, since
statement-based replication causes this option's effects to
vary according to the database that is currently selected. This
applies to mixed-format replication as well, since this enables
some updates to be replicated using the statement-based format.
However, it should be safe to use
--replicate-do-db
for this
purpose if you are using row-based replication only, since in
this case the currently selected database has no effect on the
option's operation.
For example, to support the separation as shown in
Figure 16.2, “Using Replication to Replicate Databases to Separate Replication Slaves”, you should
configure each replication slave as follows, before executing
START SLAVE
:
Replication slave 1 should use
--replicate-wild-do-table=databaseA.%
.
Replication slave 2 should use
--replicate-wild-do-table=databaseB.%
.
Replication slave 3 should use
--replicate-wild-do-table=databaseC.%
.
Each slave in this configuration receives the entire binary log
from the master, but executes only those events from the binary
log that apply to the databases and tables included by the
--replicate-wild-do-table
option in
effect on that slave.
If you have data that must be synchronized to the slaves before replication starts, you have a number of choices:
Synchronize all the data to each slave, and delete the databases, tables, or both that you do not want to keep.
Use mysqldump to create a separate dump file for each database and load the appropriate dump file on each slave.
Use a raw data file dump and include only the specific files and databases that you need for each slave.
This does not work with InnoDB
databases unless you use
innodb_file_per_table
.
As the number of slaves connecting to a master increases, the load, although minimal, also increases, as each slave uses a client connection to the master. Also, as each slave must receive a full copy of the master binary log, the network load on the master may also increase and create a bottleneck.
If you are using a large number of slaves connected to one master, and that master is also busy processing requests (for example, as part of a scale-out solution), then you may want to improve the performance of the replication process.
One way to improve the performance of the replication process is to create a deeper replication structure that enables the master to replicate to only one slave, and for the remaining slaves to connect to this primary slave for their individual replication requirements. A sample of this structure is shown in Figure 16.3, “Using an Additional Replication Host to Improve Performance”.
For this to work, you must configure the MySQL instances as follows:
Master 1 is the primary master where all changes and updates are written to the database. Binary logging should be enabled on this machine.
Master 2 is the slave to the Master 1 that provides the
replication functionality to the remainder of the slaves in
the replication structure. Master 2 is the only machine
permitted to connect to Master 1. Master 2 also has binary
logging enabled, and the
log_slave_updates
system
variable enabled so that replication instructions from Master
1 are also written to Master 2's binary log so that they can
then be replicated to the true slaves.
Slave 1, Slave 2, and Slave 3 act as slaves to Master 2, and replicate the information from Master 2, which actually consists of the upgrades logged on Master 1.
The above solution reduces the client load and the network interface load on the primary master, which should improve the overall performance of the primary master when used as a direct database solution.
If your slaves are having trouble keeping up with the replication process on the master, there are a number of options available:
If possible, put the relay logs and the data files on
different physical drives. To do this, set the
relay_log
system variable to
specify the location of the relay log.
If the slaves are significantly slower than the master, you may want to divide up the responsibility for replicating different databases to different slaves. See Section 16.3.5, “Replicating Different Databases to Different Slaves”.
If your master makes use of transactions and you are not
concerned about transaction support on your slaves, use
MyISAM
or another nontransactional engine
on the slaves. See
Section 16.3.3, “Using Replication with Different Master and Slave Storage Engines”.
If your slaves are not acting as masters, and you have a
potential solution in place to ensure that you can bring up a
master in the event of failure, then you can disable the
log_slave_updates
system
variable on the slaves. This prevents “dumb”
slaves from also logging events they have executed into their
own binary log.
You can tell a slave to change to a new master using the
CHANGE MASTER TO
statement. The
slave does not check whether the databases on the master are
compatible with those on the slave; it simply begins reading and
executing events from the specified coordinates in the new
master's binary log. In a failover situation, all the servers
in the group are typically executing the same events from the same
binary log file, so changing the source of the events should not
affect the structure or integrity of the database, provided that
you exercise care in making the change.
Slaves should be run with the
--log-bin
option, and if not using
GTIDs then they should also be run without enabling the
log_slave_updates
system
variable. In this way, the slave is ready to become a master
without restarting the slave mysqld. Assume
that you have the structure shown in
Figure 16.4, “Redundancy Using Replication, Initial Structure”.
In this diagram, the MySQL Master
holds the
master database, the MySQL Slave
hosts are
replication slaves, and the Web Client
machines
are issuing database reads and writes. Web clients that issue only
reads (and would normally be connected to the slaves) are not
shown, as they do not need to switch to a new server in the event
of failure. For a more detailed example of a read/write scale-out
replication structure, see
Section 16.3.4, “Using Replication for Scale-Out”.
Each MySQL Slave (Slave 1
, Slave
2
, and Slave 3
) is a slave running
with --log-bin
and without enabling
the log_slave_updates
system
variable. Because updates received by a slave from the master are
not logged in the binary log unless
log_slave_updates
is enabled, the
binary log on each slave is empty initially. If for some reason
MySQL Master
becomes unavailable, you can pick
one of the slaves to become the new master. For example, if you
pick Slave 1
, all Web
Clients
should be redirected to Slave
1
, which writes the updates to its binary log.
Slave 2
and Slave 3
should
then replicate from Slave 1
.
The reason for running the slave without
log_slave_updates
enabled is to
prevent slaves from receiving updates twice in case you cause one
of the slaves to become the new master. If Slave
1
has log_slave_updates
enabled, it writes any updates that it receives from
Master
in its own binary log. This means that,
when Slave 2
changes from
Master
to Slave 1
as its
master, it may receive updates from Slave 1
that it has already received from Master
.
Make sure that all slaves have processed any statements in their
relay log. On each slave, issue STOP SLAVE
IO_THREAD
, then check the output of
SHOW PROCESSLIST
until you see
Has read all relay log
. When this is true for
all slaves, they can be reconfigured to the new setup. On the
slave Slave 1
being promoted to become the
master, issue STOP SLAVE
and
RESET MASTER
.
On the other slaves Slave 2
and Slave
3
, use STOP SLAVE
and
CHANGE MASTER TO MASTER_HOST='Slave1'
(where
'Slave1'
represents the real host name of
Slave 1
). To use CHANGE MASTER
TO
, add all information about how to connect to
Slave 1
from Slave 2
or
Slave 3
(user
,
password
,
port
). When issuing the CHANGE
MASTER TO
statement in this, there is no need to specify
the name of the Slave 1
binary log file or log
position to read from, since the first binary log file and
position 4, are the defaults. Finally, execute
START SLAVE
on Slave
2
and Slave 3
.
Once the new replication setup is in place, you need to tell each
Web Client
to direct its statements to
Slave 1
. From that point on, all updates
statements sent by Web Client
to Slave
1
are written to the binary log of Slave
1
, which then contains every update statement sent to
Slave 1
since Master
died.
The resulting server structure is shown in Figure 16.5, “Redundancy Using Replication, After Master Failure”.
When Master
becomes available again, you should
make it a slave of Slave 1
. To do this, issue
on Master
the same CHANGE
MASTER TO
statement as that issued on Slave
2
and Slave 3
previously.
Master
then becomes a slave of S1ave
1
and picks up the Web Client
writes
that it missed while it was offline.
To make Master
a master again, use the
preceding procedure as if Slave 1
was
unavailable and Master
was to be the new
master. During this procedure, do not forget to run
RESET MASTER
on
Master
before making Slave
1
, Slave 2
, and Slave
3
slaves of Master
. If you fail to do
this, the slaves may pick up stale writes from the Web
Client
applications dating from before the point at
which Master
became unavailable.
You should be aware that there is no synchronization between slaves, even when they share the same master, and thus some slaves might be considerably ahead of others. This means that in some cases the procedure outlined in the previous example might not work as expected. In practice, however, relay logs on all slaves should be relatively close together.
One way to keep applications informed about the location of the
master is to have a dynamic DNS entry for the master. With
bind
you can use nsupdate
to update the DNS dynamically.
To use an encrypted connection for the transfer of the binary log required during replication, both the master and the slave servers must support encrypted network connections. If either server does not support encrypted connections (because it has not been compiled or configured for them), replication through an encrypted connection is not possible.
Setting up encrypted connections for replication is similar to doing so for client/server connections. You must obtain (or create) a suitable security certificate that you can use on the master, and a similar certificate (from the same certificate authority) on each slave. You must also obtain suitable key files.
For more information on setting up a server and client for encrypted connections, see Section 6.3.1, “Configuring MySQL to Use Encrypted Connections”.
To enable encrypted connections on the master, you must create or
obtain suitable certificate and key files, and then add the
following configuration options to the master's configuration
within the [mysqld]
section of the master's
my.cnf
file, changing the file names as
necessary:
[mysqld] ssl-ca=cacert.pem ssl-cert=server-cert.pem ssl-key=server-key.pem
The paths to the files may be relative or absolute; we recommend that you always use complete paths for this purpose.
The options are as follows:
--ssl-ca
: The path name of the
Certificate Authority (CA) certificate file.
(--ssl-capath
is similar but specifies the
path name of a directory of CA certificate files.)
--ssl-cert
: The path name of
the server public key certificate file. This certificate can
be sent to the client and authenticated against the CA
certificate that it has.
--ssl-key
: The path name of
the server private key file.
To enable encrypted connections on the slave, use the
CHANGE MASTER TO
statement. You can
either name the slave certificate and SSL private key files
required for the encrypted connection in the
[client]
section of the slave's
my.cnf
file, or you can explicitly specify
that information using the CHANGE MASTER
TO
statement. For more information on the
CHANGE MASTER TO
statement, see
Section 13.4.2.1, “CHANGE MASTER TO Statement”.
To name the slave certificate and key files using an option
file, add the following lines to the
[client]
section of the slave's
my.cnf
file, changing the file names as
necessary:
[client] ssl-ca=cacert.pem ssl-cert=client-cert.pem ssl-key=client-key.pem
Restart the slave server, using the
--skip-slave-start
option to
prevent the slave from connecting to the master. Use
CHANGE MASTER TO
to specify the
master configuration, and add the
MASTER_SSL
option to connect using
encryption:
mysql>CHANGE MASTER TO
->MASTER_HOST='master_hostname',
->MASTER_USER='repl',
->MASTER_PASSWORD='
->password
',MASTER_SSL=1;
Setting MASTER_SSL=1
for a replication
connection and then setting no further
MASTER_SSL_
options corresponds to setting
xxx
--ssl-mode=REQUIRED
for the client, as
described in Command Options for Encrypted Connections.
With MASTER_SSL=1
, the connection attempt
only succeeds if an encrypted connection can be established. A
replication connection does not fall back to an unencrypted
connection, so there is no setting corresponding to the
--ssl-mode=PREFERRED
setting for
replication. If MASTER_SSL=0
is set, this
corresponds to --ssl-mode=DISABLED
.
To name the slave certificate and SSL private key files using
the CHANGE MASTER TO
statement,
if you did not do this in the slave's
my.cnf
file, add the appropriate
MASTER_SSL_
options:
xxx
->MASTER_SSL_CA = 'ca_file_name',
->MASTER_SSL_CAPATH = 'ca_directory_name',
->MASTER_SSL_CERT = 'cert_file_name',
->MASTER_SSL_KEY = 'key_file_name',
These options correspond to the
--ssl-
options with the same names, as described in
Command Options for Encrypted Connections. For these
options to take effect, xxx
MASTER_SSL=1
must
also be set. For a replication connection, specifying a value
for either of MASTER_SSL_CA
or
MASTER_SSL_CAPATH
, or specifying these
options in the slave's my.cnf
file,
corresponds to setting
--ssl-mode=VERIFY_CA
. The connection
attempt only succeeds if a valid matching Certificate
Authority (CA) certificate is found using the specified
information.
To activate host name identity verification, add the
MASTER_SSL_VERIFY_SERVER_CERT
option:
-> MASTER_SSL_VERIFY_SERVER_CERT=1,
This option corresponds to the
--ssl-verify-server-cert
option, which is
deprecated as of MySQL 5.7.11 and is removed in MySQL 8.0. For
a replication connection, specifying
MASTER_SSL_VERIFY_SERVER_CERT=1
corresponds
to setting --ssl-mode=VERIFY_IDENTITY
, as
described in Command Options for Encrypted Connections.
For this option to take effect,
MASTER_SSL=1
must also be set. Host name
identity verification does not work with self-signed
certificates.
To activate certificate revocation list (CRL) checks, add the
MASTER_SSL_CRL
or
MASTER_SSL_CRLPATH
option:
->MASTER_SSL_CRL = 'crl_file_name',
->MASTER_SSL_CRLPATH = 'crl_directory_name',
These options correspond to the
--ssl-
options with the same names, as described in
Command Options for Encrypted Connections. If they are
not specified, no CRL checking takes place.
xxx
To specify lists of ciphers and encryption protocols permitted
by the slave for the replication connection, add the
MASTER_SSL_CIPHER
and
MASTER_TLS_VERSION
options:
->MASTER_SSL_CIPHER = 'cipher_list',
->MASTER_TLS_VERSION = 'protocol_list',
The MASTER_SSL_CIPHER
option specifies the
list of ciphers permitted by the slave for the replication
connection, with one or more cipher names separated by colons.
The MASTER_TLS_VERSION
option specifies the
encryption protocols permitted by the slave for the
replication connection. The format is like that for the
tls_version
system variable,
with one or more comma-separated protocol versions. The
protocols and ciphers that you can use in these lists depend
on the SSL library used to compile MySQL. For information
about the formats and permitted values, see
Section 6.3.2, “Encrypted Connection TLS Protocols and Ciphers”.
After the master information has been updated, start the slave replication process:
mysql> START SLAVE;
You can use the SHOW SLAVE
STATUS
statement to confirm that an encrypted
connection was established successfully.
Requiring encrypted connections on the slave does not ensure
that the master requires encrypted connections from slaves. If
you want to ensure that the master only accepts replication
slaves that connect using encrypted connections, create a
replication user account on the master using the
REQUIRE SSL
option, then grant that user
the REPLICATION SLAVE
privilege. For example:
mysql>CREATE USER 'repl'@'%.example.com' IDENTIFIED BY '
->password
'REQUIRE SSL;
mysql>GRANT REPLICATION SLAVE ON *.*
->TO 'repl'@'%.example.com';
If you have an existing replication user account on the
master, you can add REQUIRE SSL
to it with
this statement:
mysql> ALTER USER 'repl'@'%.example.com' REQUIRE SSL;
In addition to the built-in asynchronous replication, MySQL 5.7 supports an interface to semisynchronous replication that is implemented by plugins. This section discusses what semisynchronous replication is and how it works. The following sections cover the administrative interface to semisynchronous replication and how to install, configure, and monitor it.
MySQL replication by default is asynchronous. The master writes events to its binary log but does not know whether or when a slave has retrieved and processed them. With asynchronous replication, if the master crashes, transactions that it has committed might not have been transmitted to any slave. Consequently, failover from master to slave in this case may result in failover to a server that is missing transactions relative to the master.
Semisynchronous replication can be used as an alternative to asynchronous replication:
A slave indicates whether it is semisynchronous-capable when it connects to the master.
If semisynchronous replication is enabled on the master side and there is at least one semisynchronous slave, a thread that performs a transaction commit on the master blocks and waits until at least one semisynchronous slave acknowledges that it has received all events for the transaction, or until a timeout occurs.
The slave acknowledges receipt of a transaction's events only after the events have been written to its relay log and flushed to disk.
If a timeout occurs without any slave having acknowledged the transaction, the master reverts to asynchronous replication. When at least one semisynchronous slave catches up, the master returns to semisynchronous replication.
Semisynchronous replication must be enabled on both the master and slave sides. If semisynchronous replication is disabled on the master, or enabled on the master but on no slaves, the master uses asynchronous replication.
While the master is blocking (waiting for acknowledgment from a slave), it does not return to the session that performed the transaction. When the block ends, the master returns to the session, which then can proceed to execute other statements. At this point, the transaction has committed on the master side, and receipt of its events has been acknowledged by at least one slave.
The number of slave acknowledgments the master must receive per
transaction before proceeding is configurable using the
rpl_semi_sync_master_wait_for_slave_count
system variable. The default value is 1.
Blocking also occurs after rollbacks that are written to the binary log, which occurs when a transaction that modifies nontransactional tables is rolled back. The rolled-back transaction is logged even though it has no effect for transactional tables because the modifications to the nontransactional tables cannot be rolled back and must be sent to slaves.
For statements that do not occur in transactional context (that
is, when no transaction has been started with
START
TRANSACTION
or
SET autocommit =
0
), autocommit is enabled and each statement commits
implicitly. With semisynchronous replication, the master blocks
for each such statement, just as it does for explicit transaction
commits.
To understand what the “semi” in “semisynchronous replication” means, compare it with asynchronous and fully synchronous replication:
With asynchronous replication, the master writes events to its binary log and slaves request them when they are ready. There is no guarantee that any event will ever reach any slave.
With fully synchronous replication, when a master commits a transaction, all slaves also will have committed the transaction before the master returns to the session that performed the transaction. The drawback of this is that there might be a lot of delay to complete a transaction.
Semisynchronous replication falls between asynchronous and fully synchronous replication. The master waits only until at least one slave has received and logged the events. It does not wait for all slaves to acknowledge receipt, and it requires only receipt, not that the events have been fully executed and committed on the slave side.
Compared to asynchronous replication, semisynchronous replication
provides improved data integrity because when a commit returns
successfully, it is known that the data exists in at least two
places. Until a semisynchronous master receives acknowledgment
from the number of slaves configured by
rpl_semi_sync_master_wait_for_slave_count
,
the transaction is on hold and not committed.
Semisynchronous replication also places a rate limit on busy sessions by constraining the speed at which binary log events can be sent from master to slave. When one user is too busy, this will slow it down, which is useful in some deployment situations.
Semisynchronous replication does have some performance impact because commits are slower due to the need to wait for slaves. This is the tradeoff for increased data integrity. The amount of slowdown is at least the TCP/IP roundtrip time to send the commit to the slave and wait for the acknowledgment of receipt by the slave. This means that semisynchronous replication works best for close servers communicating over fast networks, and worst for distant servers communicating over slow networks.
The
rpl_semi_sync_master_wait_point
system variable controls the point at which a semisynchronous
replication master waits for slave acknowledgment of transaction
receipt before returning a status to the client that committed the
transaction. These values are permitted:
AFTER_SYNC
(the default): The master writes
each transaction to its binary log and the slave, and syncs
the binary log to disk. The master waits for slave
acknowledgment of transaction receipt after the sync. Upon
receiving acknowledgment, the master commits the transaction
to the storage engine and returns a result to the client,
which then can proceed.
AFTER_COMMIT
: The master writes each
transaction to its binary log and the slave, syncs the binary
log, and commits the transaction to the storage engine. The
master waits for slave acknowledgment of transaction receipt
after the commit. Upon receiving acknowledgment, the master
returns a result to the client, which then can proceed.
The replication characteristics of these settings differ as follows:
With AFTER_SYNC
, all clients see the
committed transaction at the same time: After it has been
acknowledged by the slave and committed to the storage engine
on the master. Thus, all clients see the same data on the
master.
In the event of master failure, all transactions committed on the master have been replicated to the slave (saved to its relay log). A crash of the master and failover to the slave is lossless because the slave is up to date.
With AFTER_COMMIT
, the client issuing the
transaction gets a return status only after the server commits
to the storage engine and receives slave acknowledgment. After
the commit and before slave acknowledgment, other clients can
see the committed transaction before the committing client.
If something goes wrong such that the slave does not process the transaction, then in the event of a master crash and failover to the slave, it is possible that such clients will see a loss of data relative to what they saw on the master.
The administrative interface to semisynchronous replication has several components:
Two plugins implement semisynchronous capability. There is one plugin for the master side and one for the slave side.
System variables control plugin behavior. Some examples:
Controls whether semisynchronous replication is enabled on the master. To enable or disable the plugin, set this variable to 1 or 0, respectively. The default is 0 (off).
A value in milliseconds that controls how long the master waits on a commit for acknowledgment from a slave before timing out and reverting to asynchronous replication. The default value is 10000 (10 seconds).
Similar to
rpl_semi_sync_master_enabled
,
but controls the slave plugin.
All
rpl_semi_sync_
system variables are described at
Section 5.1.7, “Server System Variables”.
xxx
Status variables enable semisynchronous replication monitoring. Some examples:
The number of semisynchronous slaves.
Whether semisynchronous replication currently is operational on the master. The value is 1 if the plugin has been enabled and a commit acknowledgment has not occurred. It is 0 if the plugin is not enabled or the master has fallen back to asynchronous replication due to commit acknowledgment timeout.
The number of commits that were not acknowledged successfully by a slave.
The number of commits that were acknowledged successfully by a slave.
Whether semisynchronous replication currently is operational on the slave. This is 1 if the plugin has been enabled and the slave I/O thread is running, 0 otherwise.
All
Rpl_semi_sync_
status variables are described at
Section 5.1.9, “Server Status Variables”.
xxx
The system and status variables are available only if the
appropriate master or slave plugin has been installed with
INSTALL PLUGIN
.
Semisynchronous replication is implemented using plugins, so the plugins must be installed into the server to make them available. After a plugin has been installed, you control it by means of the system variables associated with it. These system variables are unavailable until the associated plugin has been installed.
This section describes how to install the semisynchronous replication plugins. For general information about installing plugins, see Section 5.5.1, “Installing and Uninstalling Plugins”.
To use semisynchronous replication, the following requirements must be satisfied:
The capability of installing plugins requires a MySQL server
that supports dynamic loading. To verify this, check that
the value of the
have_dynamic_loading
system
variable is YES
. Binary distributions
should support dynamic loading.
Replication must already be working, see Section 16.1, “Configuring Replication”.
There must not be multiple replication channels configured. Semisynchronous replication is only compatible with the default replication channel. See Section 16.2.3, “Replication Channels”.
To set up semisynchronous replication, use the following
instructions. The INSTALL PLUGIN
,
SET
GLOBAL
, STOP SLAVE
, and
START SLAVE
statements mentioned
here require the SUPER
privilege.
MySQL distributions include semisynchronous replication plugin files for the master side and the slave side.
To be usable by a master or slave server, the appropriate plugin
library file must be located in the MySQL plugin directory (the
directory named by the
plugin_dir
system variable). If
necessary, configure the plugin directory location by setting
the value of plugin_dir
at
server startup.
The plugin library file base names are
semisync_master
and
semisync_slave
. The file name suffix differs
per platform (for example, .so
for Unix and
Unix-like systems, .dll
for Windows).
The master plugin library file must be present in the plugin directory of the master server. The slave plugin library file must be present in the plugin directory of each slave server.
To load the plugins, use the INSTALL
PLUGIN
statement on the master and on each slave that
is to be semisynchronous (adjust the .so
suffix for your platform as necessary).
On the master:
INSTALL PLUGIN rpl_semi_sync_master SONAME 'semisync_master.so';
On each slave:
INSTALL PLUGIN rpl_semi_sync_slave SONAME 'semisync_slave.so';
If an attempt to install a plugin results in an error on Linux
similar to that shown here, you must install
libimf
:
mysql> INSTALL PLUGIN rpl_semi_sync_master SONAME 'semisync_master.so';
ERROR 1126 (HY000): Can't open shared library
'/usr/local/mysql/lib/plugin/semisync_master.so'
(errno: 22 libimf.so: cannot open shared object file:
No such file or directory)
You can obtain libimf
from
https://dev.mysql.com/downloads/os-linux.html.
To see which plugins are installed, use the
SHOW PLUGINS
statement, or query
the INFORMATION_SCHEMA.PLUGINS
table.
To verify plugin installation, examine the
INFORMATION_SCHEMA.PLUGINS
table or
use the SHOW PLUGINS
statement
(see Section 5.5.2, “Obtaining Server Plugin Information”). For
example:
mysql>SELECT PLUGIN_NAME, PLUGIN_STATUS
FROM INFORMATION_SCHEMA.PLUGINS
WHERE PLUGIN_NAME LIKE '%semi%';
+----------------------+---------------+ | PLUGIN_NAME | PLUGIN_STATUS | +----------------------+---------------+ | rpl_semi_sync_master | ACTIVE | +----------------------+---------------+
If the plugin fails to initialize, check the server error log for diagnostic messages.
After a semisynchronous replication plugin has been installed, it is disabled by default. The plugins must be enabled both on the master side and the slave side to enable semisynchronous replication. If only one side is enabled, replication will be asynchronous.
To control whether an installed plugin is enabled, set the
appropriate system variables. You can set these variables at
runtime using SET
GLOBAL
, or at server startup on the command line or in
an option file.
At runtime, these master-side system variables are available:
SET GLOBAL rpl_semi_sync_master_enabled = {0|1};
SET GLOBAL rpl_semi_sync_master_timeout = N
;
On the slave side, this system variable is available:
SET GLOBAL rpl_semi_sync_slave_enabled = {0|1};
For
rpl_semi_sync_master_enabled
or
rpl_semi_sync_slave_enabled
,
the value should be 1 to enable semisynchronous replication or 0
to disable it. By default, these variables are set to 0.
For
rpl_semi_sync_master_timeout
,
the value N
is given in milliseconds.
The default value is 10000 (10 seconds).
If you enable semisynchronous replication on a slave at runtime, you must also start the slave I/O thread (stopping it first if it is already running) to cause the slave to connect to the master and register as a semisynchronous slave:
STOP SLAVE IO_THREAD; START SLAVE IO_THREAD;
If the I/O thread is already running and you do not restart it, the slave continues to use asynchronous replication.
At server startup, the variables that control semisynchronous
replication can be set as command-line options or in an option
file. A setting listed in an option file takes effect each time
the server starts. For example, you can set the variables in
my.cnf
files on the master and slave sides
as follows.
On the master:
[mysqld] rpl_semi_sync_master_enabled=1 rpl_semi_sync_master_timeout=1000 # 1 second
On each slave:
[mysqld] rpl_semi_sync_slave_enabled=1
The plugins for the semisynchronous replication capability expose several system and status variables that you can examine to determine its configuration and operational state.
The system variable reflect how semisynchronous replication is
configured. To check their values, use SHOW
VARIABLES
:
mysql> SHOW VARIABLES LIKE 'rpl_semi_sync%';
The status variables enable you to monitor the operation of
semisynchronous replication. To check their values, use
SHOW STATUS
:
mysql> SHOW STATUS LIKE 'Rpl_semi_sync%';
When the master switches between asynchronous or semisynchronous
replication due to commit-blocking timeout or a slave catching
up, it sets the value of the
Rpl_semi_sync_master_status
status variable appropriately. Automatic fallback from
semisynchronous to asynchronous replication on the master means
that it is possible for the
rpl_semi_sync_master_enabled
system variable to have a value of 1 on the master side even
when semisynchronous replication is in fact not operational at
the moment. You can monitor the
Rpl_semi_sync_master_status
status variable to determine whether the master currently is
using asynchronous or semisynchronous replication.
To see how many semisynchronous slaves are connected, check
Rpl_semi_sync_master_clients
.
The number of commits that have been acknowledged successfully
or unsuccessfully by slaves are indicated by the
Rpl_semi_sync_master_yes_tx
and Rpl_semi_sync_master_no_tx
variables.
On the slave side,
Rpl_semi_sync_slave_status
indicates whether semisynchronous replication currently is
operational.
MySQL 5.7 supports delayed replication such that a
slave server deliberately lags behind the master by at least a
specified amount of time. The default delay is 0 seconds. Use the
MASTER_DELAY
option for
CHANGE MASTER TO
to set the delay
to N
seconds:
CHANGE MASTER TO MASTER_DELAY = N
;
An event received from the master is not executed until at least
N
seconds later than its execution on
the master. The exceptions are that there is no delay for format
description events or log file rotation events, which affect only
the internal state of the SQL thread.
Delayed replication can be used for several purposes:
To protect against user mistakes on the master. A DBA can roll back a delayed slave to the time just before the disaster.
To test how the system behaves when there is a lag. For example, in an application, a lag might be caused by a heavy load on the slave. However, it can be difficult to generate this load level. Delayed replication can simulate the lag without having to simulate the load. It can also be used to debug conditions related to a lagging slave.
To inspect what the database looked like long ago, without having to reload a backup. For example, if the delay is one week and the DBA needs to see what the database looked like before the last few days' worth of development, the delayed slave can be inspected.
START SLAVE
and
STOP SLAVE
take effect immediately
and ignore any delay. RESET SLAVE
resets the delay to 0.
SHOW SLAVE STATUS
has three fields
that provide information about the delay:
SQL_Delay
: A nonnegative integer indicating
the number of seconds that the slave must lag the master.
SQL_Remaining_Delay
: When
Slave_SQL_Running_State
is Waiting
until MASTER_DELAY seconds after master executed
event
, this field contains an integer indicating the
number of seconds left of the delay. At other times, this
field is NULL
.
Slave_SQL_Running_State
: A string
indicating the state of the SQL thread (analogous to
Slave_IO_State
). The value is identical to
the State
value of the SQL thread as
displayed by SHOW PROCESSLIST
.
When the slave SQL thread is waiting for the delay to elapse
before executing an event, SHOW
PROCESSLIST
displays its State
value
as Waiting until MASTER_DELAY seconds after master
executed event
.
The following sections provide information about what is supported and what is not in MySQL replication, and about specific issues and situations that may occur when replicating certain statements.
Statement-based replication depends on compatibility at the SQL level between the master and slave. In other words, successful statement-based replication requires that any SQL features used be supported by both the master and the slave servers. If you use a feature on the master server that is available only in the current version of MySQL, you cannot replicate to a slave that uses an earlier version of MySQL. Such incompatibilities can also occur within a release series as well as between versions.
If you are planning to use statement-based replication between MySQL 5.7 and a previous MySQL release series, it is a good idea to consult the edition of the MySQL Reference Manual corresponding to the earlier release series for information regarding the replication characteristics of that series.
With MySQL's statement-based replication, there may be issues with replicating stored routines or triggers. You can avoid these issues by using MySQL's row-based replication instead. For a detailed list of issues, see Section 23.7, “Stored Program Binary Logging”. For more information about row-based logging and row-based replication, see Section 5.4.4.1, “Binary Logging Formats”, and Section 16.2.1, “Replication Formats”.
For additional information specific to replication and
InnoDB
, see
Section 14.20, “InnoDB and MySQL Replication”. For information
relating to replication with NDB Cluster, see
Section 21.6, “NDB Cluster Replication”.
Statement-based replication of
AUTO_INCREMENT
,
LAST_INSERT_ID()
, and
TIMESTAMP
values is done
correctly, subject to the following exceptions:
When using statement-based replication prior to MySQL 5.7.1,
AUTO_INCREMENT
columns in tables on the
slave must match the same columns on the master; that is,
AUTO_INCREMENT
columns must be replicated
to AUTO_INCREMENT
columns.
A statement invoking a trigger or function that causes an
update to an AUTO_INCREMENT
column is not
replicated correctly using statement-based replication.
These statements are marked as unsafe. (Bug #45677)
An INSERT
into a table that
has a composite primary key that includes an
AUTO_INCREMENT
column that is not the
first column of this composite key is not safe for
statement-based logging or replication. These statements are
marked as unsafe. (Bug #11754117, Bug #45670)
This issue does not affect tables using the
InnoDB
storage engine, since an
InnoDB
table with an
AUTO_INCREMENT
column requires at least one key where the auto-increment
column is the only or leftmost column.
Adding an AUTO_INCREMENT
column to a
table with ALTER TABLE
might
not produce the same ordering of the rows on the slave and
the master. This occurs because the order in which the rows
are numbered depends on the specific storage engine used for
the table and the order in which the rows were inserted. If
it is important to have the same order on the master and
slave, the rows must be ordered before assigning an
AUTO_INCREMENT
number. Assuming that you
want to add an AUTO_INCREMENT
column to a
table t1
that has columns
col1
and col2
, the
following statements produce a new table
t2
identical to t1
but
with an AUTO_INCREMENT
column:
CREATE TABLE t2 LIKE t1; ALTER TABLE t2 ADD id INT AUTO_INCREMENT PRIMARY KEY; INSERT INTO t2 SELECT * FROM t1 ORDER BY col1, col2;
To guarantee the same ordering on both master and slave,
the ORDER BY
clause must name
all columns of t1
.
The instructions just given are subject to the limitations
of CREATE
TABLE ... LIKE
: Foreign key definitions are
ignored, as are the DATA DIRECTORY
and
INDEX DIRECTORY
table options. If a table
definition includes any of those characteristics, create
t2
using a CREATE
TABLE
statement that is identical to the one used
to create t1
, but with the addition of
the AUTO_INCREMENT
column.
Regardless of the method used to create and populate the
copy having the AUTO_INCREMENT
column,
the final step is to drop the original table and then rename
the copy:
DROP t1; ALTER TABLE t2 RENAME t1;
The BLACKHOLE
storage engine
accepts data but discards it and does not store it. When
performing binary logging, all inserts to such tables are always
logged, regardless of the logging format in use. Updates and
deletes are handled differently depending on whether statement
based or row based logging is in use. With the statement based
logging format, all statements affecting
BLACKHOLE
tables are logged, but their
effects ignored. When using row-based logging, updates and
deletes to such tables are simply skipped—they are not
written to the binary log. A warning is logged whenever this
occurs (Bug #13004581).
For this reason we recommend when you replicate to tables using
the BLACKHOLE
storage engine that
you have the binlog_format
server variable set to STATEMENT
, and not to
either ROW
or MIXED
.
The following applies to replication between MySQL servers that use different character sets:
If the master has databases with a character set different
from the global
character_set_server
value,
you should design your CREATE
TABLE
statements so that they do not implicitly
rely on the database default character set. A good
workaround is to state the character set and collation
explicitly in CREATE TABLE
statements.
CHECKSUM TABLE
returns a checksum
that is calculated row by row, using a method that depends on
the table row storage format. The storage format is not
guaranteed to remain the same between MySQL versions, so the
checksum value might change following an upgrade.
MySQL applies these rules when various CREATE ... IF
NOT EXISTS
statements are replicated:
Every
CREATE
DATABASE IF NOT EXISTS
statement is replicated,
whether or not the database already exists on the master.
Similarly, every
CREATE TABLE
IF NOT EXISTS
statement without a
SELECT
is replicated, whether
or not the table already exists on the master. This includes
CREATE
TABLE IF NOT EXISTS ... LIKE
. Replication of
CREATE
TABLE IF NOT EXISTS ... SELECT
follows somewhat
different rules; see
Section 16.4.1.6, “Replication of CREATE TABLE ... SELECT Statements”, for
more information.
CREATE EVENT
IF NOT EXISTS
is always replicated, whether or not
the event named in the statement already exists on the
master.
This section discusses how MySQL replicates
CREATE
TABLE ... SELECT
statements.
MySQL 5.7 does not allow a
CREATE
TABLE ... SELECT
statement to make any changes in
tables other than the table that is created by the statement.
Some older versions of MySQL permitted these statements to do
so; this means that, when using statement-based replication
between a MySQL 5.6 or later slave and a master running a
previous version of MySQL, a
CREATE
TABLE ... SELECT
statement causing changes in other
tables on the master fails on the slave, causing replication to
stop. To prevent this from happening, you should use row-based
replication, rewrite the offending statement before running it
on the master, or upgrade the master to MySQL 5.7.
(If you choose to upgrade the master, keep in mind that such a
CREATE
TABLE ... SELECT
statement fails following the upgrade
unless it is rewritten to remove any side effects on other
tables.) This is not an issue when using row-based replication,
because the statement is logged as a CREATE
TABLE
statement with any changes to table data logged
as row-insert events, rather than as the entire
CREATE
TABLE ... SELECT
.
These behaviors are not dependent on MySQL version:
CREATE
TABLE ... SELECT
always performs an implicit
commit (Section 13.3.3, “Statements That Cause an Implicit Commit”).
If destination table does not exist, logging occurs as
follows. It does not matter whether IF NOT
EXISTS
is present.
STATEMENT
or MIXED
format: The statement is logged as written.
ROW
format: The statement is logged
as a CREATE TABLE
statement followed by a series of insert-row events.
If the statement fails, nothing is logged. This includes the
case that the destination table exists and IF NOT
EXISTS
is not given.
When the destination table exists and IF NOT
EXISTS
is given, MySQL 5.7 ignores the
statement completely; nothing is inserted or logged.
The statements CREATE SERVER
,
ALTER SERVER
, and
DROP SERVER
are not written to
the binary log, regardless of the binary logging format that is
in use.
The following statements support use of the
CURRENT_USER()
function to take
the place of the name of, and possibly the host for, an affected
user or a definer:
When binary logging is enabled and
CURRENT_USER()
or
CURRENT_USER
is used as the
definer in any of these statements, MySQL Server ensures that
the statement is applied to the same user on both the master and
the slave when the statement is replicated. In some cases, such
as statements that change passwords, the function reference is
expanded before it is written to the binary log, so that the
statement includes the user name. For all other cases, the name
of the current user on the master is replicated to the slave as
metadata, and the slave applies the statement to the current
user named in the metadata, rather than to the current user on
the slave.
The DROP DATABASE
IF EXISTS
,
DROP TABLE IF
EXISTS
, and
DROP VIEW IF
EXISTS
statements are always replicated, even if the
database, table, or view to be dropped does not exist on the
master. This is to ensure that the object to be dropped no
longer exists on either the master or the slave, once the slave
has caught up with the master.
DROP ... IF EXISTS
statements for stored
programs (stored procedures and functions, triggers, and events)
are also replicated, even if the stored program to be dropped
does not exist on the master.
Source and target tables for replication do not have to be identical. A table on the master can have more or fewer columns than the slave's copy of the table. In addition, corresponding table columns on the master and the slave can use different data types, subject to certain conditions.
Replication between tables which are partitioned differently from one another is not supported. See Section 16.4.1.23, “Replication and Partitioning”.
In all cases where the source and target tables do not have identical definitions, the database and table names must be the same on both the master and the slave. Additional conditions are discussed, with examples, in the following two sections.
You can replicate a table from the master to the slave such that the master and slave copies of the table have differing numbers of columns, subject to the following conditions:
Columns common to both versions of the table must be defined in the same order on the master and the slave.
(This is true even if both tables have the same number of columns.)
Columns common to both versions of the table must be defined before any additional columns.
This means that executing an ALTER
TABLE
statement on the slave where a new column
is inserted into the table within the range of columns
common to both tables causes replication to fail, as shown
in the following example:
Suppose that a table t
, existing on the
master and the slave, is defined by the following
CREATE TABLE
statement:
CREATE TABLE t ( c1 INT, c2 INT, c3 INT );
Suppose that the ALTER
TABLE
statement shown here is executed on the
slave:
ALTER TABLE t ADD COLUMN cnew1 INT AFTER c3;
The previous ALTER TABLE
is
permitted on the slave because the columns
c1
, c2
, and
c3
that are common to both versions of
table t
remain grouped together in both
versions of the table, before any columns that differ.
However, the following ALTER
TABLE
statement cannot be executed on the slave
without causing replication to break:
ALTER TABLE t ADD COLUMN cnew2 INT AFTER c2;
Replication fails after execution on the slave of the
ALTER TABLE
statement just
shown, because the new column cnew2
comes between columns common to both versions of
t
.
Each “extra” column in the version of the table having more columns must have a default value.
A column's default value is determined by a number of
factors, including its type, whether it is defined with a
DEFAULT
option, whether it is declared
as NULL
, and the server SQL mode in
effect at the time of its creation; for more information,
see Section 11.6, “Data Type Default Values”).
In addition, when the slave's copy of the table has more columns than the master's copy, each column common to the tables must use the same data type in both tables.
Examples. The following examples illustrate some valid and invalid table definitions:
More columns on the master. The following table definitions are valid and replicate correctly:
master>CREATE TABLE t1 (c1 INT, c2 INT, c3 INT);
slave>CREATE TABLE t1 (c1 INT, c2 INT);
The following table definitions would raise an error because the definitions of the columns common to both versions of the table are in a different order on the slave than they are on the master:
master>CREATE TABLE t1 (c1 INT, c2 INT, c3 INT);
slave>CREATE TABLE t1 (c2 INT, c1 INT);
The following table definitions would also raise an error because the definition of the extra column on the master appears before the definitions of the columns common to both versions of the table:
master>CREATE TABLE t1 (c3 INT, c1 INT, c2 INT);
slave>CREATE TABLE t1 (c1 INT, c2 INT);
More columns on the slave. The following table definitions are valid and replicate correctly:
master>CREATE TABLE t1 (c1 INT, c2 INT);
slave>CREATE TABLE t1 (c1 INT, c2 INT, c3 INT);
The following definitions raise an error because the columns common to both versions of the table are not defined in the same order on both the master and the slave:
master>CREATE TABLE t1 (c1 INT, c2 INT);
slave>CREATE TABLE t1 (c2 INT, c1 INT, c3 INT);
The following table definitions also raise an error because the definition for the extra column in the slave's version of the table appears before the definitions for the columns which are common to both versions of the table:
master>CREATE TABLE t1 (c1 INT, c2 INT);
slave>CREATE TABLE t1 (c3 INT, c1 INT, c2 INT);
The following table definitions fail because the slave's
version of the table has additional columns compared to the
master's version, and the two versions of the table use
different data types for the common column
c2
:
master>CREATE TABLE t1 (c1 INT, c2 BIGINT);
slave>CREATE TABLE t1 (c1 INT, c2 INT, c3 INT);
Corresponding columns on the master's and the slave's copies of the same table ideally should have the same data type. However, this is not always strictly enforced, as long as certain conditions are met.
It is usually possible to replicate from a column of a given
data type to another column of the same type and same size or
width, where applicable, or larger. For example, you can
replicate from a CHAR(10)
column to another
CHAR(10)
, or from a
CHAR(10)
column to a
CHAR(25)
column without any problems. In
certain cases, it also possible to replicate from a column
having one data type (on the master) to a column having a
different data type (on the slave); when the data type of the
master's version of the column is promoted to a type that
is the same size or larger on the slave, this is known as
attribute promotion.
Attribute promotion can be used with both statement-based and row-based replication, and is not dependent on the storage engine used by either the master or the slave. However, the choice of logging format does have an effect on the type conversions that are permitted; the particulars are discussed later in this section.
Whether you use statement-based or row-based replication, the slave's copy of the table cannot contain more columns than the master's copy if you wish to employ attribute promotion.
Statement-based replication.
When using statement-based replication, a simple rule of
thumb to follow is, “If the statement run on the
master would also execute successfully on the slave, it
should also replicate successfully”. In other words,
if the statement uses a value that is compatible with the
type of a given column on the slave, the statement can be
replicated. For example, you can insert any value that fits
in a TINYINT
column into a
BIGINT
column as well; it follows that,
even if you change the type of a TINYINT
column in the slave's copy of a table to
BIGINT
, any insert into that column on
the master that succeeds should also succeed on the slave,
since it is impossible to have a legal
TINYINT
value that is large enough to
exceed a BIGINT
column.
Prior to MySQL 5.7.1, when using statement-based replication,
AUTO_INCREMENT
columns were required to be
the same on both the master and the slave; otherwise, updates
could be applied to the wrong table on the slave. (Bug
#12669186)
Row-based replication: attribute promotion and demotion. Row-based replication supports attribute promotion and demotion between smaller data types and larger types. It is also possible to specify whether or not to permit lossy (truncated) or non-lossy conversions of demoted column values, as explained later in this section.
Lossy and non-lossy conversions. In the event that the target type cannot represent the value being inserted, a decision must be made on how to handle the conversion. If we permit the conversion but truncate (or otherwise modify) the source value to achieve a “fit” in the target column, we make what is known as a lossy conversion. A conversion which does not require truncation or similar modifications to fit the source column value in the target column is a non-lossy conversion.
Type conversion modes (slave_type_conversions variable).
The setting of the slave_type_conversions
global server variable controls the type conversion mode
used on the slave. This variable takes a set of values from
the following table, which shows the effects of each mode on
the slave's type-conversion behavior:
Mode | Effect |
---|---|
ALL_LOSSY |
In this mode, type conversions that would mean loss of information are permitted.
This does not imply that non-lossy conversions are
permitted, merely that only cases requiring either
lossy conversions or no conversion at all are
permitted; for example, enabling
only this mode permits an
|
ALL_NON_LOSSY |
This mode permits conversions that do not require truncation or other special handling of the source value; that is, it permits conversions where the target type has a wider range than the source type.
Setting this mode has no bearing on whether lossy
conversions are permitted; this is controlled with the
|
ALL_LOSSY,ALL_NON_LOSSY |
When this mode is set, all supported type conversions are permitted, whether or not they are lossy conversions. |
ALL_SIGNED |
Treat promoted integer types as signed values (the default behavior). |
ALL_UNSIGNED |
Treat promoted integer types as unsigned values. |
ALL_SIGNED,ALL_UNSIGNED |
Treat promoted integer types as signed if possible, otherwise as unsigned. |
[empty] |
When This mode is the default. |
When an integer type is promoted, its signedness is not
preserved. By default, the slave treats all such values as
signed. Beginning with MySQL 5.7.2, you can control this
behavior using ALL_SIGNED
,
ALL_UNSIGNED
, or both. (Bug#15831300)
ALL_SIGNED
tells the slave to treat all
promoted integer types as signed;
ALL_UNSIGNED
instructs it to treat these as
unsigned. Specifying both causes the slave to treat the value
as signed if possible, otherwise to treat it as unsigned; the
order in which they are listed is not significant. Neither
ALL_SIGNED
nor
ALL_UNSIGNED
has any effect if at least one
of ALL_LOSSY
or
ALL_NONLOSSY
is not also used.
Changing the type conversion mode requires restarting the
slave with the new slave_type_conversions
setting.
Supported conversions. Supported conversions between different but similar data types are shown in the following list:
Between any of the integer types
TINYINT
,
SMALLINT
,
MEDIUMINT
,
INT
, and
BIGINT
.
This includes conversions between the signed and unsigned versions of these types.
Lossy conversions are made by truncating the source value
to the maximum (or minimum) permitted by the target
column. For ensuring non-lossy conversions when going from
unsigned to signed types, the target column must be large
enough to accommodate the range of values in the source
column. For example, you can demote TINYINT
UNSIGNED
non-lossily to
SMALLINT
, but not to
TINYINT
.
Between any of the decimal types
DECIMAL
,
FLOAT
,
DOUBLE
, and
NUMERIC
.
FLOAT
to DOUBLE
is a
non-lossy conversion; DOUBLE
to
FLOAT
can only be handled lossily. A
conversion from
DECIMAL(
to
M
,D
)DECIMAL(
where M'
,D'
)
and
D'
>=
D
(
)
is non-lossy; for any case where
M'
-D'
)
>=
(M
-D
,
M'
<
M
, or both, only a
lossy conversion can be made.
D'
<
D
For any of the decimal types, if a value to be stored cannot be fit in the target type, the value is rounded down according to the rounding rules defined for the server elsewhere in the documentation. See Section 12.22.4, “Rounding Behavior”, for information about how this is done for decimal types.
Between any of the string types
CHAR
,
VARCHAR
, and
TEXT
, including conversions
between different widths.
Conversion of a CHAR
,
VARCHAR
, or TEXT
to
a CHAR
, VARCHAR
, or
TEXT
column the same size or larger is
never lossy. Lossy conversion is handled by inserting only
the first N
characters of the
string on the slave, where N
is
the width of the target column.
Replication between columns using different character sets is not supported.
Between any of the binary data types
BINARY
,
VARBINARY
, and
BLOB
, including conversions
between different widths.
Conversion of a BINARY
,
VARBINARY
, or BLOB
to a BINARY
,
VARBINARY
, or BLOB
column the same size or larger is never lossy. Lossy
conversion is handled by inserting only the first
N
bytes of the string on the
slave, where N
is the width of
the target column.
Between any 2 BIT
columns
of any 2 sizes.
When inserting a value from a
BIT(
column into a
M
)BIT(
column, where M'
)
, the most
significant bits of the
M'
>
M
BIT(
columns are cleared (set to zero) and the
M'
)M
bits of the
BIT(
value
are set as the least significant bits of the
M
)BIT(
column.
M'
)
When inserting a value from a source
BIT(
column into a target
M
)BIT(
column, where M'
)
, the maximum
possible value for the
M'
<
M
BIT(
column is assigned; in other words, an
“all-set” value is assigned to the target
column.
M'
)
Conversions between types not in the previous list are not permitted.
If a DATA DIRECTORY
or INDEX
DIRECTORY
table option is used in a
CREATE TABLE
statement on the
master server, the table option is also used on the slave. This
can cause problems if no corresponding directory exists in the
slave host file system or if it exists but is not accessible to
the slave server. This can be overridden by using the
NO_DIR_IN_CREATE
server SQL
mode on the slave, which causes the slave to ignore the
DATA DIRECTORY
and INDEX
DIRECTORY
table options when replicating
CREATE TABLE
statements. The
result is that MyISAM
data and index files
are created in the table's database directory.
For more information, see Section 5.1.10, “Server SQL Modes”.
With statement-based replication, values are converted from decimal to binary. Because conversions between decimal and binary representations of them may be approximate, comparisons involving floating-point values are inexact. This is true for operations that use floating-point values explicitly, or that use values that are converted to floating-point implicitly. Comparisons of floating-point values might yield different results on master and slave servers due to differences in computer architecture, the compiler used to build MySQL, and so forth. See Section 12.2, “Type Conversion in Expression Evaluation”, and Section B.4.4.8, “Problems with Floating-Point Values”.
MySQL 5.7 permits fractional seconds for
TIME
,
DATETIME
, and
TIMESTAMP
values, with up to
microseconds (6 digits) precision. See
Section 11.2.7, “Fractional Seconds in Time Values”.
There may be problems replicating from a master server that understands fractional seconds to an older slave (MySQL 5.6.3 and earlier) that does not:
For CREATE TABLE
statements
containing columns that have an
fsp
(fractional seconds
precision) value greater than 0, replication will fail due
to parser errors.
Statements that use temporal data types with an
fsp
value of 0 will work for with
statement-based logging but not row-based logging. In the
latter case, the data types have binary formats and type
codes on the master that differ from those on the slave.
Some expression results will differ on master and slave.
Examples: On the master, the timestamp
system variable returns a value that includes a microseconds
fractional part; on the slave, it returns an integer. On the
master, functions that return a result that includes the
current time (such as
CURTIME()
,
SYSDATE()
, or
UTC_TIMESTAMP()
) interpret an
argument as an fsp
value and the
return value includes a fractional seconds part of that many
digits. On the slave, these functions permit an argument but
ignore it.
Some forms of the FLUSH
statement
are not logged because they could cause problems if replicated
to a slave: FLUSH LOGS
and
FLUSH TABLES WITH READ LOCK
. For
a syntax example, see Section 13.7.6.3, “FLUSH Statement”. The
FLUSH TABLES
,
ANALYZE TABLE
,
OPTIMIZE TABLE
, and
REPAIR TABLE
statements are
written to the binary log and thus replicated to slaves. This is
not normally a problem because these statements do not modify
table data.
However, this behavior can cause difficulties under certain
circumstances. If you replicate the privilege tables in the
mysql
database and update those tables
directly without using GRANT
, you
must issue a FLUSH PRIVILEGES
on
the slaves to put the new privileges into effect. In addition,
if you use FLUSH TABLES
when
renaming a MyISAM
table that is part of a
MERGE
table, you must issue
FLUSH TABLES
manually on the
slaves. These statements are written to the binary log unless
you specify NO_WRITE_TO_BINLOG
or its alias
LOCAL
.
Certain functions do not replicate well under some conditions:
The USER()
,
CURRENT_USER()
(or
CURRENT_USER
),
UUID()
,
VERSION()
, and
LOAD_FILE()
functions are
replicated without change and thus do not work reliably on
the slave unless row-based replication is enabled. (See
Section 16.2.1, “Replication Formats”.)
USER()
and
CURRENT_USER()
are
automatically replicated using row-based replication when
using MIXED
mode, and generate a warning
in STATEMENT
mode. (See also
Section 16.4.1.8, “Replication of CURRENT_USER()”.) This
is also true for VERSION()
and RAND()
.
For NOW()
, the binary log
includes the timestamp. This means that the value
as returned by the call to this function on the
master is replicated to the slave. To avoid
unexpected results when replicating between MySQL servers in
different time zones, set the time zone on both master and
slave. For more information, see
Section 16.4.1.31, “Replication and Time Zones”.
To explain the potential problems when replicating between
servers which are in different time zones, suppose that the
master is located in New York, the slave is located in
Stockholm, and both servers are using local time. Suppose
further that, on the master, you create a table
mytable
, perform an
INSERT
statement on this
table, and then select from the table, as shown here:
mysql>CREATE TABLE mytable (mycol TEXT);
Query OK, 0 rows affected (0.06 sec) mysql>INSERT INTO mytable VALUES ( NOW() );
Query OK, 1 row affected (0.00 sec) mysql>SELECT * FROM mytable;
+---------------------+ | mycol | +---------------------+ | 2009-09-01 12:00:00 | +---------------------+ 1 row in set (0.00 sec)
Local time in Stockholm is 6 hours later than in New York;
so, if you issue SELECT NOW()
on the
slave at that exact same instant, the value
2009-09-01 18:00:00
is returned. For this
reason, if you select from the slave's copy of
mytable
after the
CREATE TABLE
and
INSERT
statements just shown
have been replicated, you might expect
mycol
to contain the value
2009-09-01 18:00:00
. However, this is not
the case; when you select from the slave's copy of
mytable
, you obtain exactly the same
result as on the master:
mysql> SELECT * FROM mytable;
+---------------------+
| mycol |
+---------------------+
| 2009-09-01 12:00:00 |
+---------------------+
1 row in set (0.00 sec)
Unlike NOW()
, the
SYSDATE()
function is not
replication-safe because it is not affected by SET
TIMESTAMP
statements in the binary log and is
nondeterministic if statement-based logging is used. This is
not a problem if row-based logging is used.
An alternative is to use the
--sysdate-is-now
option to
cause SYSDATE()
to be an
alias for NOW()
. This must be
done on the master and the slave to work correctly. In such
cases, a warning is still issued by this function, but can
safely be ignored as long as
--sysdate-is-now
is used on
both the master and the slave.
SYSDATE()
is automatically
replicated using row-based replication when using
MIXED
mode, and generates a warning in
STATEMENT
mode.
The following restriction applies to
statement-based replication only, not to row-based
replication. The
GET_LOCK()
,
RELEASE_LOCK()
,
IS_FREE_LOCK()
, and
IS_USED_LOCK()
functions that
handle user-level locks are replicated without the slave
knowing the concurrency context on the master. Therefore,
these functions should not be used to insert into a master
table because the content on the slave would differ. For
example, do not issue a statement such as INSERT
INTO mytable VALUES(GET_LOCK(...))
.
These functions are automatically replicated using row-based
replication when using MIXED
mode, and
generate a warning in STATEMENT
mode.
As a workaround for the preceding limitations when
statement-based replication is in effect, you can use the
strategy of saving the problematic function result in a user
variable and referring to the variable in a later statement. For
example, the following single-row
INSERT
is problematic due to the
reference to the UUID()
function:
INSERT INTO t VALUES(UUID());
To work around the problem, do this instead:
SET @my_uuid = UUID(); INSERT INTO t VALUES(@my_uuid);
That sequence of statements replicates because the value of
@my_uuid
is stored in the binary log as a
user-variable event prior to the
INSERT
statement and is available
for use in the INSERT
.
The same idea applies to multiple-row inserts, but is more cumbersome to use. For a two-row insert, you can do this:
SET @my_uuid1 = UUID(); @my_uuid2 = UUID(); INSERT INTO t VALUES(@my_uuid1),(@my_uuid2);
However, if the number of rows is large or unknown, the workaround is difficult or impracticable. For example, you cannot convert the following statement to one in which a given individual user variable is associated with each row:
INSERT INTO t2 SELECT UUID(), * FROM t1;
Within a stored function, RAND()
replicates correctly as long as it is invoked only once during
the execution of the function. (You can consider the function
execution timestamp and random number seed as implicit inputs
that are identical on the master and slave.)
The FOUND_ROWS()
and
ROW_COUNT()
functions are not
replicated reliably using statement-based replication. A
workaround is to store the result of the function call in a user
variable, and then use that in the
INSERT
statement. For example, if
you wish to store the result in a table named
mytable
, you might normally do so like this:
SELECT SQL_CALC_FOUND_ROWS FROM mytable LIMIT 1; INSERT INTO mytable VALUES( FOUND_ROWS() );
However, if you are replicating mytable
, you
should use SELECT
... INTO
, and then store the variable in the table,
like this:
SELECT SQL_CALC_FOUND_ROWS INTO @found_rows FROM mytable LIMIT 1; INSERT INTO mytable VALUES(@found_rows);
In this way, the user variable is replicated as part of the context, and applied on the slave correctly.
These functions are automatically replicated using row-based
replication when using MIXED
mode, and
generate a warning in STATEMENT
mode. (Bug
#12092, Bug #30244)
Prior to MySQL 5.7.3, the value of
LAST_INSERT_ID()
was not
replicated correctly if any filtering options such as
--replicate-ignore-db
and
--replicate-do-table
were enabled
on the slave. (Bug #17234370, BUG# 69861)
Replication of invoked features such as user-defined functions (UDFs) and stored programs (stored procedures and functions, triggers, and events) provides the following characteristics:
The effects of the feature are always replicated.
The following statements are replicated using statement-based replication:
However, the effects of features created, modified, or dropped using these statements are replicated using row-based replication.
Attempting to replicate invoked features using statement-based replication produces the warning Statement is not safe to log in statement format. For example, trying to replicate a UDF with statement-based replication generates this warning because it currently cannot be determined by the MySQL server whether the UDF is deterministic. If you are absolutely certain that the invoked feature's effects are deterministic, you can safely disregard such warnings.
In the case of CREATE EVENT
and ALTER EVENT
:
The status of the event is set to
SLAVESIDE_DISABLED
on the slave
regardless of the state specified (this does not apply
to DROP EVENT
).
The master on which the event was created is identified
on the slave by its server ID. The
ORIGINATOR
column in
INFORMATION_SCHEMA.EVENTS
and the originator
column in
mysql.event
store this information.
See Section 24.8, “The INFORMATION_SCHEMA EVENTS Table”, and
Section 13.7.5.18, “SHOW EVENTS Statement”, for more information.
The feature implementation resides on the slave in a renewable state so that if the master fails, the slave can be used as the master without loss of event processing.
To determine whether there are any scheduled events on a MySQL
server that were created on a different server (that was acting
as a replication master), query the
INFORMATION_SCHEMA.EVENTS
table in
a manner similar to what is shown here:
SELECT EVENT_SCHEMA, EVENT_NAME FROM INFORMATION_SCHEMA.EVENTS WHERE STATUS = 'SLAVESIDE_DISABLED';
Alternatively, you can use the SHOW
EVENTS
statement, like this:
SHOW EVENTS WHERE STATUS = 'SLAVESIDE_DISABLED';
When promoting a replication slave having such events to a
replication master, you must enable each event using
ALTER EVENT
, where
event_name
ENABLEevent_name
is the name of the event.
If more than one master was involved in creating events on this
slave, and you wish to identify events that were created only on
a given master having the server ID
master_id
, modify the previous query
on the EVENTS
table to include the
ORIGINATOR
column, as shown here:
SELECT EVENT_SCHEMA, EVENT_NAME, ORIGINATOR
FROM INFORMATION_SCHEMA.EVENTS
WHERE STATUS = 'SLAVESIDE_DISABLED'
AND ORIGINATOR = 'master_id
'
You can employ ORIGINATOR
with the
SHOW EVENTS
statement in a
similar fashion:
SHOW EVENTS
WHERE STATUS = 'SLAVESIDE_DISABLED'
AND ORIGINATOR = 'master_id
'
Before enabling events that were replicated from the master, you
should disable the MySQL Event Scheduler on the slave (using a
statement such as SET GLOBAL event_scheduler =
OFF;
), run any necessary ALTER
EVENT
statements, restart the server, then re-enable
the Event Scheduler on the slave afterward (using a statement
such as SET GLOBAL event_scheduler = ON;
)-
If you later demote the new master back to being a replication
slave, you must disable manually all events enabled by the
ALTER EVENT
statements. You can
do this by storing in a separate table the event names from the
SELECT
statement shown
previously, or using ALTER EVENT
statements to rename the events with a common prefix such as
replicated_
to identify them.
If you rename the events, then when demoting this server back to
being a replication slave, you can identify the events by
querying the EVENTS
table, as shown
here:
SELECT CONCAT(EVENT_SCHEMA, '.', EVENT_NAME) AS 'Db.Event' FROM INFORMATION_SCHEMA.EVENTS WHERE INSTR(EVENT_NAME, 'replicated_') = 1;
Statement-based replication of LIMIT
clauses
in DELETE
,
UPDATE
, and
INSERT ...
SELECT
statements is unsafe since the order of the
rows affected is not defined. (Such statements can be replicated
correctly with statement-based replication only if they also
contain an ORDER BY
clause.) When such a
statement is encountered:
When using STATEMENT
mode, a warning that
the statement is not safe for statement-based replication is
now issued.
When using STATEMENT
mode, warnings are
issued for DML statements containing
LIMIT
even when they also have an
ORDER BY
clause (and so are made
deterministic). This is a known issue. (Bug #42851)
When using MIXED
mode, the statement is
now automatically replicated using row-based mode.
LOAD DATA
is considered unsafe
for statement-based logging (see
Section 16.2.1.3, “Determination of Safe and Unsafe Statements in Binary Logging”). When
binlog_format=MIXED
is set, the
statement is logged in row-based format. When
binlog_format=STATEMENT
is set,
note that LOAD DATA
does not
generate a warning, unlike other unsafe statements.
When mysqlbinlog reads log events for
LOAD DATA
statements logged in
statement-based format, a generated local file is created in a
temporary directory. These temporary files are not automatically
removed by mysqlbinlog or any other MySQL
program. If you do use LOAD DATA
statements with statement-based binary logging, you should
delete the temporary files yourself after you no longer need the
statement log. For more information, see
Section 4.6.7, “mysqlbinlog — Utility for Processing Binary Log Files”.
max_allowed_packet
sets an
upper limit on the size of any single message between the MySQL
server and clients, including replication slaves. If you are
replicating large column values (such as might be found in
TEXT
or
BLOB
columns) and
max_allowed_packet
is too small
on the master, the master fails with an error, and the slave
shuts down the I/O thread. If
max_allowed_packet
is too small
on the slave, this also causes the slave to stop the I/O thread.
Row-based replication currently sends all columns and column
values for updated rows from the master to the slave, including
values of columns that were not actually changed by the update.
This means that, when you are replicating large column values
using row-based replication, you must take care to set
max_allowed_packet
large enough
to accommodate the largest row in any table to be replicated,
even if you are replicating updates only, or you are inserting
only relatively small values.
When a master server shuts down and restarts, its
MEMORY
tables become empty. To
replicate this effect to slaves, the first time that the master
uses a given MEMORY
table after
startup, it logs an event that notifies slaves that the table
must be emptied by writing a
DELETE
statement for that table
to the binary log. This generated event is identifiable by a
comment in the binary log, and if GTIDs are in use on the
server, it has a GTID assigned.
When a slave server shuts down and restarts, its
MEMORY
tables become empty. This
causes the slave to be out of synchrony with the master and may
lead to other failures or cause the slave to stop:
Row-format updates and deletes received from the master may
fail with Can't find record in
'
.
memory_table
'
Statements such as
INSERT INTO
... SELECT FROM
may insert
a different set of rows on the master and slave.
memory_table
The safe way to restart a slave that is replicating
MEMORY
tables is to first drop or
delete all rows from the MEMORY
tables on the master and wait until those changes have
replicated to the slave. Then it is safe to restart the slave.
An alternative restart method may apply in some cases. When
binlog_format=ROW
, you can
prevent the slave from stopping if you set
slave_exec_mode=IDEMPOTENT
before you start the slave again. This allows the slave to
continue to replicate, but its
MEMORY
tables will still be
different from those on the master. This can be okay if the
application logic is such that the contents of
MEMORY
tables can be safely lost
(for example, if the MEMORY
tables
are used for caching).
slave_exec_mode=IDEMPOTENT
applies globally to all tables, so it may hide other replication
errors in non-MEMORY
tables.
(The method just described is not applicable in NDB Cluster,
where slave_exec_mode
is always
IDEMPOTENT
, and cannot be changed.)
The size of MEMORY
tables is
limited by the value of the
max_heap_table_size
system
variable, which is not replicated (see
Section 16.4.1.37, “Replication and Variables”). A change in
max_heap_table_size
takes effect for
MEMORY
tables that are created or updated
using ALTER TABLE
... ENGINE = MEMORY
or TRUNCATE
TABLE
following the change, or for all
MEMORY
tables following a server
restart. If you increase the value of this variable on the
master without doing so on the slave, it becomes possible for a
table on the master to grow larger than its counterpart on the
slave, leading to inserts that succeed on the master but fail on
the slave with Table is full errors. This
is a known issue (Bug #48666). In such cases, you must set the
global value of
max_heap_table_size
on the
slave as well as on the master, then restart replication. It is
also recommended that you restart both the master and slave
MySQL servers, to insure that the new value takes complete
(global) effect on each of them.
See Section 15.3, “The MEMORY Storage Engine”, for more
information about MEMORY
tables.
Data modification statements made to tables in the
mysql
database are replicated according to
the value of binlog_format
; if
this value is MIXED
, these statements are
replicated using row-based format. However, statements that
would normally update this information indirectly—such
GRANT
,
REVOKE
, and statements
manipulating triggers, stored routines, and views—are
replicated to slaves using statement-based replication.
It is possible for the data on the master and slave to become
different if a statement is written in such a way that the data
modification is nondeterministic; that is, left up the query
optimizer. (In general, this is not a good practice, even
outside of replication.) Examples of nondeterministic statements
include DELETE
or
UPDATE
statements that use
LIMIT
with no ORDER BY
clause; see Section 16.4.1.17, “Replication and LIMIT”, for a
detailed discussion of these.
Replication is supported between partitioned tables as long as they use the same partitioning scheme and otherwise have the same structure except where an exception is specifically allowed (see Section 16.4.1.10, “Replication with Differing Table Definitions on Master and Slave”).
Replication between tables having different partitioning is
generally not supported. This because statements (such as
ALTER
TABLE ... DROP PARTITION
) acting directly on
partitions in such cases may produce different results on master
and slave. In the case where a table is partitioned on the
master but not on the slave, any statements operating on
partitions on the master's copy of the slave fail on the
slave. When the slave's copy of the table is partitioned
but the master's copy is not, statements acting on
partitions cannot be run on the master without causing errors
there.
Due to these dangers of causing replication to fail entirely (on account of failed statements) and of inconsistencies (when the result of a partition-level SQL statement produces different results on master and slave), we recommend that insure that the partitioning of any tables to be replicated from the master is matched by the slave's versions of these tables.
When used on a corrupted or otherwise damaged table, it is
possible for the REPAIR TABLE
statement to delete rows that cannot be recovered. However, any
such modifications of table data performed by this statement are
not replicated, which can cause master and slave to lose
synchronization. For this reason, in the event that a table on
the master becomes damaged and you use
REPAIR TABLE
to repair it, you
should first stop replication (if it is still running) before
using REPAIR TABLE
, then
afterward compare the master's and slave's copies of
the table and be prepared to correct any discrepancies manually,
before restarting replication.
You can encounter problems when you attempt to replicate from an
older master to a newer slave and you make use of identifiers on
the master that are reserved words in the newer MySQL version
running on the slave. An example of this is using a table column
named virtual
on a 5.6 master that is
replicating to a 5.7 or higher slave because
VIRTUAL
is a reserved word beginning in MySQL
5.7. Replication can fail in such cases with Error 1064
You have an error in your SQL syntax...,
even if a database or table named using the reserved
word or a table having a column named using the reserved word is
excluded from replication. This is due to the fact
that each SQL event must be parsed by the slave prior to
execution, so that the slave knows which database object or
objects would be affected; only after the event is parsed can
the slave apply any filtering rules defined by
--replicate-do-db
,
--replicate-do-table
,
--replicate-ignore-db
, and
--replicate-ignore-table
.
To work around the problem of database, table, or column names on the master which would be regarded as reserved words by the slave, do one of the following:
Use one or more ALTER TABLE
statements on the master to change the names of any database
objects where these names would be considered reserved words
on the slave, and change any SQL statements that use the old
names to use the new names instead.
In any SQL statements using these database object names,
write the names as quoted identifiers using backtick
characters (`
).
For listings of reserved words by MySQL version, see Reserved Words, in the MySQL Server Version Reference. For identifier quoting rules, see Section 9.2, “Schema Object Names”.
It is safe to shut down a master server and restart it later.
When a slave loses its connection to the master, the slave tries
to reconnect immediately and retries periodically if that fails.
The default is to retry every 60 seconds. This may be changed
with the CHANGE MASTER TO
statement. A slave also is able to deal with network
connectivity outages. However, the slave notices the network
outage only after receiving no data from the master for
slave_net_timeout
seconds. If
your outages are short, you may want to decrease
slave_net_timeout
. See
Section 16.3.2, “Handling an Unexpected Halt of a Replication Slave”.
An unclean shutdown (for example, a crash) on the master side
can result in the master binary log having a final position less
than the most recent position read by the slave, due to the
master binary log file not being flushed. This can cause the
slave not to be able to replicate when the master comes back up.
Setting sync_binlog=1
in the
master my.cnf
file helps to minimize this
problem because it causes the master to flush its binary log
more frequently. For the greatest possible durability and
consistency in a replication setup using
InnoDB
with transactions, you should also set
innodb_flush_log_at_trx_commit=1
.
With this setting, the contents of the InnoDB
redo log buffer are written out to the log file at each
transaction commit and the log file is flushed to disk. Note
that the durability of transactions is still not guaranteed with
this setting, because operating systems or disk hardware may
tell mysqld that the flush-to-disk operation
has taken place, even though it has not.
Shutting down a slave cleanly is safe because it keeps track of where it left off. However, be careful that the slave does not have temporary tables open; see Section 16.4.1.29, “Replication and Temporary Tables”. Unclean shutdowns might produce problems, especially if the disk cache was not flushed to disk before the problem occurred:
For transactions, the slave commits and then updates
relay-log.info
. If a crash occurs
between these two operations, relay log processing will have
proceeded further than the information file indicates and
the slave will re-execute the events from the last
transaction in the relay log after it has been restarted.
A similar problem can occur if the slave updates
relay-log.info
but the server host
crashes before the write has been flushed to disk. To
minimize the chance of this occurring, set
sync_relay_log_info=1
in
the slave my.cnf
file. Setting
sync_relay_log_info
to 0
causes no writes to be forced to disk and the server relies
on the operating system to flush the file from time to time.
The fault tolerance of your system for these types of problems is greatly increased if you have a good uninterruptible power supply.
If a statement produces the same error (identical error code) on both the master and the slave, the error is logged, but replication continues.
If a statement produces different errors on the master and the
slave, the slave SQL thread terminates, and the slave writes a
message to its error log and waits for the database
administrator to decide what to do about the error. This
includes the case that a statement produces an error on the
master or the slave, but not both. To address the issue, connect
to the slave manually and determine the cause of the problem.
SHOW SLAVE STATUS
is useful for
this. Then fix the problem and run START
SLAVE
. For example, you might need to create a
nonexistent table before you can start the slave again.
If a temporary error is recorded in the slave's error log, you do not necessarily have to take any action suggested in the quoted error message. Temporary errors should be handled by the client retrying the transaction. For example, if the slave SQL thread records a temporary error relating to a deadlock, you do not need to restart the transaction manually on the slave, unless the slave SQL thread subsequently terminates with a nontemporary error message.
If this error code validation behavior is not desirable, some or
all errors can be masked out (ignored) with the
--slave-skip-errors
option.
For nontransactional storage engines such as
MyISAM
, it is possible to have a statement
that only partially updates a table and returns an error code.
This can happen, for example, on a multiple-row insert that has
one row violating a key constraint, or if a long update
statement is killed after updating some of the rows. If that
happens on the master, the slave expects execution of the
statement to result in the same error code. If it does not, the
slave SQL thread stops as described previously.
If you are replicating between tables that use different storage
engines on the master and slave, keep in mind that the same
statement might produce a different error when run against one
version of the table, but not the other, or might cause an error
for one version of the table, but not the other. For example,
since MyISAM
ignores foreign key constraints,
an INSERT
or
UPDATE
statement accessing an
InnoDB
table on the master might cause a
foreign key violation but the same statement performed on a
MyISAM
version of the same table on the slave
would produce no such error, causing replication to stop.
Using different server SQL mode settings on the master and the
slave may cause the same INSERT
statements to be handled differently on the master and the
slave, leading the master and slave to diverge. For best
results, you should always use the same server SQL mode on the
master and on the slave. This advice applies whether you are
using statement-based or row-based replication.
If you are replicating partitioned tables, using different SQL modes on the master and the slave is likely to cause issues. At a minimum, this is likely to cause the distribution of data among partitions to be different in the master's and slave's copies of a given table. It may also cause inserts into partitioned tables that succeed on the master to fail on the slave.
For more information, see Section 5.1.10, “Server SQL Modes”. In particular, see SQL Mode Changes in MySQL 5.7, which describes changes in MySQL 5.7, so that you can assess whether your applications will be affected.
The discussion in the following paragraphs does not apply when
binlog_format=ROW
because, in
that case, temporary tables are not replicated; this means that
there are never any temporary tables on the slave to be lost in
the event of an unplanned shutdown by the slave. The remainder
of this section applies only when using statement-based or
mixed-format replication. Loss of replicated temporary tables on
the slave can be an issue, whenever
binlog_format
is
STATEMENT
or MIXED
, for
statements involving temporary tables that can be logged safely
using statement-based format. For more information about
row-based replication and temporary tables, see
Row-based logging of temporary tables.
Safe slave shutdown when using temporary tables. Temporary tables are replicated except in the case where you stop the slave server (not just the slave threads) and you have replicated temporary tables that are open for use in updates that have not yet been executed on the slave. If you stop the slave server, the temporary tables needed by those updates are no longer available when the slave is restarted. To avoid this problem, do not shut down the slave while it has temporary tables open. Instead, use the following procedure:
Issue a STOP SLAVE SQL_THREAD
statement.
Use SHOW STATUS
to check the
value of the
Slave_open_temp_tables
variable.
If the value is not 0, restart the slave SQL thread with
START SLAVE SQL_THREAD
and repeat the
procedure later.
When the value is 0, issue a mysqladmin shutdown command to stop the slave.
Temporary tables and replication options.
By default, all temporary tables are replicated; this happens
whether or not there are any matching
--replicate-do-db
,
--replicate-do-table
, or
--replicate-wild-do-table
options in effect. However, the
--replicate-ignore-table
and
--replicate-wild-ignore-table
options are honored for temporary tables. The exception is
that to enable correct removal of temporary tables at the end
of a session, a replication slave always replicates a
DROP TEMPORARY TABLE IF EXISTS
statement,
regardless of any exclusion rules that would normally apply
for the specified table.
A recommended practice when using statement-based or
mixed-format replication is to designate a prefix for exclusive
use in naming temporary tables that you do not want replicated,
then employ a
--replicate-wild-ignore-table
option to match that prefix. For example, you might give all
such tables names beginning with norep
(such
as norepmytable
,
norepyourtable
, and so on), then use
--replicate-wild-ignore-table=norep%
to prevent them from being replicated.
The global system variable
slave_transaction_retries
affects replication as follows: If the slave SQL thread fails to
execute a transaction because of an InnoDB
deadlock or because it exceeded the InnoDB
innodb_lock_wait_timeout
value,
or the NDB
TransactionDeadlockDetectionTimeout
or
TransactionInactiveTimeout
value, the slave
automatically retries the transaction
slave_transaction_retries
times
before stopping with an error. The default value is 10. The
total retry count can be seen in the output of
SHOW STATUS
; see
Section 5.1.9, “Server Status Variables”.
By default, master and slave servers assume that they are in the
same time zone. If you are replicating between servers in
different time zones, the time zone must be set on both master
and slave. Otherwise, statements depending on the local time on
the master are not replicated properly, such as statements that
use the NOW()
or
FROM_UNIXTIME()
functions.
Verify that your combination of settings for the system time
zone (system_time_zone
), server
current time zone (the global value of
time_zone
), and per-session
time zones (the session value of
time_zone
) on the master and
slave is producing the correct results. In particular, if the
time_zone
system variable is
set to the value SYSTEM
, indicating that the
server time zone is the same as the system time zone, this can
cause the master and slave to apply different time zones. For
example, a master could write the following statement in the
binary log:
SET @@session.time_zone='SYSTEM';
If this master and its slave have a different setting for their
system time zones, this statement can produce unexpected results
on the slave, even if the slave's global
time_zone
value has been set to
match the master's. For an explanation of MySQL Server's time
zone settings, and how to change them, see
Section 5.1.12, “MySQL Server Time Zone Support”.
See also Section 16.4.1.15, “Replication and System Functions”.
Inconsistencies in the sequence of transactions that have been executed from the relay log can occur depending on your replication configuration. This section explains how to avoid inconsistencies and solve any problems they cause.
The following types of inconsistencies can exist:
Half-applied transactions. A transaction which updates non-transactional tables has applied some but not all of its changes.
Gaps. A gap is a transaction that has
not been fully applied, even though some transaction later
in the sequence has been applied. Gaps can only appear when
using a multithreaded slave. To avoid gaps occurring, set
slave_preserve_commit_order=1
,
which requires
slave_parallel_type=LOGICAL_CLOCK
,
and that log-bin
and
log-slave-updates
are also
enabled. Note that
slave_preserve_commit_order=1
does not preserve the order of non-transactional DML
updates, so these might commit before transactions that
precede them in the relay log, which might result in gaps.
Master log position lag. Even in the
absence of gaps, it is possible that transactions after
Exec_master_log_pos
have been applied.
That is, all transactions up to point N
have been applied, and no transactions after
N
have been applied, but
Exec_master_log_pos
has a value smaller
than N
. In this situation,
Exec_master_log_pos
is a “low-water
mark” of the transactions applied, and lags behind
the position of the most recently applied transaction. This
can only happen on multithreaded slaves. Enabling
slave_preserve_commit_order
does not prevent master log position lag.
The following scenarios are relevant to the existence of half-applied transactions, gaps, and master log position lag:
While slave threads are running, there may be gaps and half-applied transactions.
mysqld shuts down. Both clean and unclean shutdown abort ongoing transactions and may leave gaps and half-applied transactions.
KILL
of replication threads
(the SQL thread when using a single-threaded slave, the
coordinator thread when using a multithreaded slave). This
aborts ongoing transactions and may leave gaps and
half-applied transactions.
Error in applier threads. This may leave gaps. If the error is in a mixed transaction, that transaction is half-applied. When using a multithreaded slave, workers which have not received an error complete their queues, so it may take time to stop all threads.
STOP SLAVE
when using a
multithreaded slave. After issuing STOP
SLAVE
, the slave waits for any gaps to be filled
and then updates Exec_master_log_pos
.
This ensures it never leaves gaps or master log position
lag, unless any of the cases above applies, in other words,
before STOP SLAVE
completes,
either an error happens, or another thread issues
KILL
, or the server restarts.
In these cases, STOP SLAVE
returns successfully.
If the last transaction in the relay log is only
half-received and the multithreaded slave coordinator has
started to schedule the transaction to a worker, then
STOP SLAVE
waits up to 60
seconds for the transaction to be received. After this
timeout, the coordinator gives up and aborts the
transaction. If the transaction is mixed, it may be left
half-completed.
STOP SLAVE
when using a
single-threaded slave. If the ongoing transaction only
updates transactional tables, it is rolled back and
STOP SLAVE
stops immediately.
If the ongoing transaction is mixed,
STOP SLAVE
waits up to 60
seconds for the transaction to complete. After this timeout,
it aborts the transaction, so it may be left half-completed.
The global variable
rpl_stop_slave_timeout
is
unrelated to the process of stopping the replication threads. It
only makes the client that issues STOP
SLAVE
return to the client, but the replication
threads continue to try to stop.
If a replication channel has gaps, it has the following consequences:
The slave database is in a state that may never have existed on the master.
The field Exec_master_log_pos
in
SHOW SLAVE STATUS
is only a
“low-water mark”. In other words, transactions
appearing before the position are guaranteed to have
committed, but transactions after the position may have
committed or not.
CHANGE MASTER TO
statements
for that channel fail with an error, unless the applier
threads are running and the CHANGE
MASTER TO
statement only sets receiver options.
If mysqld is started with
--relay-log-recovery
, no
recovery is done for that channel, and a warning is printed.
If mysqldump is used with
--dump-slave
, it does not
record the existence of gaps; thus it prints
CHANGE MASTER TO
with
RELAY_LOG_POS
set to the “low-water
mark” position in
Exec_master_log_pos
.
After applying the dump on another server, and starting the
replication threads, transactions appearing after the
position are replicated again. Note that this is harmless if
GTIDs are enabled (however, in that case it is not
recommended to use
--dump-slave
).
If a replication channel has master log position lag but no gaps, cases 2 to 5 above apply, but case 1 does not.
The master log position information is persisted in binary
format in the internal table
mysql.slave_worker_info
.
START SLAVE
[SQL_THREAD]
always consults this information so that
it applies only the correct transactions. This remains true even
if slave_parallel_workers
has
been changed to 0 before START
SLAVE
, and even if START
SLAVE
is used with UNTIL
clauses.
START SLAVE UNTIL
SQL_AFTER_MTS_GAPS
only applies as many transactions
as needed in order to fill in the gaps. If
START SLAVE
is used with
UNTIL
clauses that tell it to stop before it
has consumed all the gaps, then it leaves remaining gaps.
RESET SLAVE
removes the relay
logs and resets the replication position. Thus issuing
RESET SLAVE
on a slave with
gaps means the slave loses any information about the gaps,
without correcting the gaps.
Mixing transactional and nontransactional statements within the same transaction. In general, you should avoid transactions that update both transactional and nontransactional tables in a replication environment. You should also avoid using any statement that accesses both transactional (or temporary) and nontransactional tables and writes to any of them.
The server uses these rules for binary logging:
If the initial statements in a transaction are nontransactional, they are written to the binary log immediately. The remaining statements in the transaction are cached and not written to the binary log until the transaction is committed. (If the transaction is rolled back, the cached statements are written to the binary log only if they make nontransactional changes that cannot be rolled back. Otherwise, they are discarded.)
For statement-based logging, logging of nontransactional
statements is affected by the
binlog_direct_non_transactional_updates
system variable. When this variable is
OFF
(the default), logging is as just
described. When this variable is ON
,
logging occurs immediately for nontransactional statements
occurring anywhere in the transaction (not just initial
nontransactional statements). Other statements are kept in
the transaction cache and logged when the transaction
commits.
binlog_direct_non_transactional_updates
has no effect for row-format or mixed-format binary logging.
Transactional, nontransactional, and mixed statements. To apply those rules, the server considers a statement nontransactional if it changes only nontransactional tables, and transactional if it changes only transactional tables. A statement that references both nontransactional and transactional tables and updates any of the tables involved, is considered a “mixed” statement. (In some past MySQL versions, only a statement that updated both nontransactional and transactional tables was considered mixed.) Mixed statements, like transactional statements, are cached and logged when the transaction commits.
A mixed statement that updates a transactional table is considered unsafe if the statement also performs either of the following actions:
Updates or reads a temporary table
Reads a nontransactional table and the transaction isolation level is less than REPEATABLE_READ
A mixed statement following the update of a transactional table within a transaction is considered unsafe if it performs either of the following actions:
Updates any table and reads from any temporary table
Updates a nontransactional table and
binlog_direct_non_transactional_updates
is OFF
For more information, see Section 16.2.1.3, “Determination of Safe and Unsafe Statements in Binary Logging”.
A mixed statement is unrelated to mixed binary logging format.
In situations where transactions mix updates to transactional
and nontransactional tables, the order of statements in the
binary log is correct, and all needed statements are written to
the binary log even in case of a
ROLLBACK
.
However, when a second connection updates the nontransactional
table before the first connection transaction is complete,
statements can be logged out of order because the second
connection update is written immediately after it is performed,
regardless of the state of the transaction being performed by
the first connection.
Using different storage engines on master and slave.
It is possible to replicate transactional tables on the master
using nontransactional tables on the slave. For example, you
can replicate an InnoDB
master table as a
MyISAM
slave table. However, if you do
this, there are problems if the slave is stopped in the middle
of a BEGIN
... COMMIT
block because the
slave restarts at the beginning of the
BEGIN
block.
It is also safe to replicate transactions from
MyISAM
tables on the master to
transactional tables—such as tables that use the
InnoDB
storage engine—on the
slave. In such cases, an
AUTOCOMMIT=1
statement issued on the master is replicated, thus enforcing
AUTOCOMMIT
mode on the slave.
When the storage engine type of the slave is nontransactional, transactions on the master that mix updates of transactional and nontransactional tables should be avoided because they can cause inconsistency of the data between the master transactional table and the slave nontransactional table. That is, such transactions can lead to master storage engine-specific behavior with the possible effect of replication going out of synchrony. MySQL does not issue a warning about this currently, so extra care should be taken when replicating transactional tables from the master to nontransactional tables on the slaves.
Changing the binary logging format within transactions.
The binlog_format
and
binlog_checksum
system
variables are read-only as long as a transaction is in
progress.
Every transaction (including
autocommit
transactions) is
recorded in the binary log as though it starts with a
BEGIN
statement, and ends with either a
COMMIT
or a
ROLLBACK
statement. This is even true for statements affecting tables
that use a nontransactional storage engine (such as
MyISAM
).
For restrictions that apply specifically to XA transactions, see Section 13.3.7.3, “Restrictions on XA Transactions”.
With statement-based replication, triggers executed on the master also execute on the slave. With row-based replication, triggers executed on the master do not execute on the slave. Instead, the row changes on the master resulting from trigger execution are replicated and applied on the slave.
This behavior is by design. If under row-based replication the slave applied the triggers as well as the row changes caused by them, the changes would in effect be applied twice on the slave, leading to different data on the master and the slave.
If you want triggers to execute on both the master and the slave—perhaps because you have different triggers on the master and slave—you must use statement-based replication. However, to enable slave-side triggers, it is not necessary to use statement-based replication exclusively. It is sufficient to switch to statement-based replication only for those statements where you want this effect, and to use row-based replication the rest of the time.
A statement invoking a trigger (or function) that causes an
update to an AUTO_INCREMENT
column is not
replicated correctly using statement-based replication. MySQL
5.7 marks such statements as unsafe. (Bug #45677)
A trigger can have triggers for different combinations of
trigger event (INSERT
,
UPDATE
,
DELETE
) and action time
(BEFORE
, AFTER
), but
before MySQL 5.7.2 cannot have multiple triggers that have the
same trigger event and action time. MySQL 5.7.2 lifts this
limitation and multiple triggers are permitted. This change has
replication implications for upgrades and downgrades.
For brevity, “multiple triggers” here is shorthand for “multiple triggers that have the same trigger event and action time.”
Upgrades. Suppose that you upgrade an old server that does not support multiple triggers to MySQL 5.7.2 or higher. If the new server is a replication master and has old slaves that do not support multiple triggers, an error occurs on those slaves if a trigger is created on the master for a table that already has a trigger with the same trigger event and action time. To avoid this problem, upgrade the slaves first, then upgrade the master.
Downgrades. If you downgrade a server that supports multiple triggers to an older version that does not, the downgrade has these effects:
For each table that has triggers, all trigger definitions
remain in the .TRG
file for the table.
However, if there are multiple triggers with the same
trigger event and action time, the server executes only one
of them when the trigger event occurs. For information about
.TRG
files, see the Table Trigger Storage
section of the MySQL Server Doxygen documentation, available
at https://dev.mysql.com/doc/index-other.html.
If triggers for the table are added or dropped subsequent to
the downgrade, the server rewrites the table's
.TRG
file. The rewritten file retains
only one trigger per combination of trigger event and action
time; the others are lost.
To avoid these problems, modify your triggers before downgrading. For each table that has multiple triggers per combination of trigger event and action time, convert each such set of triggers to a single trigger as follows:
For each trigger, create a stored routine that contains all
the code in the trigger. Values accessed using
NEW
and OLD
can be
passed to the routine using parameters. If the trigger needs
a single result value from the code, you can put the code in
a stored function and have the function return the value. If
the trigger needs multiple result values from the code, you
can put the code in a stored procedure and return the values
using OUT
parameters.
Drop all triggers for the table.
Create one new trigger for the table that invokes the stored routines just created. The effect for this trigger is thus the same as the multiple triggers it replaces.
TRUNCATE TABLE
is normally
regarded as a DML statement, and so would be expected to be
logged and replicated using row-based format when the binary
logging mode is ROW
or
MIXED
. However this caused issues when
logging or replicating, in STATEMENT
or
MIXED
mode, tables that used transactional
storage engines such as InnoDB
when
the transaction isolation level was READ
COMMITTED
or READ UNCOMMITTED
,
which precludes statement-based logging.
TRUNCATE TABLE
is treated for
purposes of logging and replication as DDL rather than DML so
that it can be logged and replicated as a statement. However,
the effects of the statement as applicable to
InnoDB
and other transactional
tables on replication slaves still follow the rules described in
Section 13.1.34, “TRUNCATE TABLE Statement” governing such tables. (Bug
#36763)
The maximum length of MySQL user names was increased from 16 characters to 32 characters in MySQL 5.7.8. Replication of user names longer than 16 characters to a slave that supports only shorter user names will fail. However, this should occur only when replicating from a newer master to an older slave, which is not a recommended configuration.
System variables are not replicated correctly when using
STATEMENT
mode, except for the following
variables when they are used with session scope:
When MIXED
mode is used, the variables in the
preceding list, when used with session scope, cause a switch
from statement-based to row-based logging. See
Section 5.4.4.3, “Mixed Binary Logging Format”.
sql_mode
is also replicated
except for the
NO_DIR_IN_CREATE
mode; the
slave always preserves its own value for
NO_DIR_IN_CREATE
, regardless
of changes to it on the master. This is true for all replication
formats.
However, when mysqlbinlog parses a
SET @@sql_mode =
statement, the full
mode
mode
value, including
NO_DIR_IN_CREATE
, is passed to
the receiving server. For this reason, replication of such a
statement may not be safe when STATEMENT
mode
is in use.
The default_storage_engine
and
storage_engine
system variables
are not replicated, regardless of the logging mode; this is
intended to facilitate replication between different storage
engines.
The read_only
system variable
is not replicated. In addition, the enabling this variable has
different effects with regard to temporary tables, table
locking, and the SET PASSWORD
statement in different MySQL versions.
The max_heap_table_size
system
variable is not replicated. Increasing the value of this
variable on the master without doing so on the slave can lead
eventually to Table is full errors on the
slave when trying to execute
INSERT
statements on a
MEMORY
table on the master that is
thus permitted to grow larger than its counterpart on the slave.
For more information, see
Section 16.4.1.20, “Replication and MEMORY Tables”.
In statement-based replication, session variables are not replicated properly when used in statements that update tables. For example, the following sequence of statements will not insert the same data on the master and the slave:
SET max_join_size=1000; INSERT INTO mytable VALUES(@@max_join_size);
This does not apply to the common sequence:
SET time_zone=...; INSERT INTO mytable VALUES(CONVERT_TZ(..., ..., @@time_zone));
Replication of session variables is not a problem when row-based replication is being used, in which case, session variables are always replicated safely. See Section 16.2.1, “Replication Formats”.
The following session variables are written to the binary log and honored by the replication slave when parsing the binary log, regardless of the logging format:
Even though session variables relating to character sets and collations are written to the binary log, replication between different character sets is not supported.
To help reduce possible confusion, we recommend that you always
use the same setting for the
lower_case_table_names
system
variable on both master and slave, especially when you are
running MySQL on platforms with case-sensitive file systems.
Views are always replicated to slaves. Views are filtered by
their own name, not by the tables they refer to. This means that
a view can be replicated to the slave even if the view contains
a table that would normally be filtered out by
replication-ignore-table
rules. Care should
therefore be taken to ensure that views do not replicate table
data that would normally be filtered for security reasons.
Replication from a table to a same-named view is supported using statement-based logging, but not when using row-based logging. Trying to do so when row-based logging is in effect causes an error. (Bug #11752707, Bug #43975)
MySQL supports replication from one release series to the next higher release series. For example, you can replicate from a master running MySQL 5.6 to a slave running MySQL 5.7, from a master running MySQL 5.7 to a slave running MySQL 8.0, and so on. However, you may encounter difficulties when replicating from an older master to a newer slave if the master uses statements or relies on behavior no longer supported in the version of MySQL used on the slave. For example, foreign key names longer than 64 characters are no longer supported from MySQL 8.0.
The use of more than two MySQL Server versions is not supported in replication setups involving multiple masters, regardless of the number of master or slave MySQL servers. This restriction applies not only to release series, but to version numbers within the same release series as well. For example, if you are using a chained or circular replication setup, you cannot use MySQL 5.7.22, MySQL 5.7.23, and MySQL 5.7.24 concurrently, although you could use any two of these releases together.
It is strongly recommended to use the most recent release available within a given MySQL release series because replication (and other) capabilities are continually being improved. It is also recommended to upgrade masters and slaves that use early releases of a release series of MySQL to GA (production) releases when the latter become available for that release series.
Replication from newer masters to older slaves may be possible, but is generally not supported. This is due to a number of factors:
Binary log format changes. The binary log format can change between major releases. While we attempt to maintain backward compatibility, this is not always possible.
This also has significant implications for upgrading replication servers; see Section 16.4.3, “Upgrading a Replication Setup”, for more information.
For more information about row-based replication, see Section 16.2.1, “Replication Formats”.
SQL incompatibilities. You cannot replicate from a newer master to an older slave using statement-based replication if the statements to be replicated use SQL features available on the master but not on the slave.
However, if both the master and the slave support row-based replication, and there are no data definition statements to be replicated that depend on SQL features found on the master but not on the slave, you can use row-based replication to replicate the effects of data modification statements even if the DDL run on the master is not supported on the slave.
For more information on potential replication issues, see Section 16.4.1, “Replication Features and Issues”.
When you upgrade servers that participate in a replication setup, the procedure for upgrading depends on the current server versions and the version to which you are upgrading. This section provides information about how upgrading affects replication. For general information about upgrading MySQL, see Section 2.11, “Upgrading MySQL”
When you upgrade a master to 5.7 from an earlier MySQL release series, you should first ensure that all the slaves of this master are using the same 5.7.x release. If this is not the case, you should first upgrade the slaves. To upgrade each slave, shut it down, upgrade it to the appropriate 5.7.x version, restart it, and restart replication. Relay logs created by the slave after the upgrade are in 5.7 format.
Changes affecting operations in strict SQL mode
(STRICT_TRANS_TABLES
or
STRICT_ALL_TABLES
) may result in
replication failure on an updated slave. For example, as of MySQL
5.7.2, the server restricts insertion of a
DEFAULT
value of 0 for temporal data types in
strict mode. If you use statement-based logging
(binlog_format=STATEMENT
), if a
slave is upgraded before the master, the nonupgraded master will
execute statements without error that may fail on the slave and
replication will stop. To deal with this, stop all new statements
on the master and wait until the slaves catch up. Then upgrade the
slaves. Alternatively, if you cannot stop new statements,
temporarily change to row-based logging on the master
(binlog_format=ROW
) and wait
until all slaves have processed all binary logs produced up to the
point of this change. Then upgrade the slaves.
After the slaves have been upgraded, shut down the master, upgrade it to the same 5.7.x release as the slaves, and restart it. If you had temporarily changed the master to row-based logging, change it back to statement-based logging. The 5.7 master is able to read the old binary logs written prior to the upgrade and to send them to the 5.7 slaves. The slaves recognize the old format and handle it properly. Binary logs created by the master subsequent to the upgrade are in 5.7 format. These too are recognized by the 5.7 slaves.
In other words, when upgrading to MySQL 5.7, the slaves must be MySQL 5.7 before you can upgrade the master to 5.7. Note that downgrading from 5.7 to older versions does not work so simply: You must ensure that any 5.7 binary log or relay log has been fully processed, so that you can remove it before proceeding with the downgrade.
Some upgrades may require that you drop and re-create database objects when you move from one MySQL series to the next. For example, collation changes might require that table indexes be rebuilt. Such operations, if necessary, are detailed at Section 2.11.3, “Changes in MySQL 5.7”. It is safest to perform these operations separately on the slaves and the master, and to disable replication of these operations from the master to the slave. To achieve this, use the following procedure:
Stop all the slaves and upgrade them. Restart them with the
--skip-slave-start
option so
that they do not connect to the master. Perform any table
repair or rebuilding operations needed to re-create database
objects, such as use of REPAIR TABLE
or
ALTER TABLE
, or dumping and reloading
tables or triggers.
Disable the binary log on the master. To do this without
restarting the master, execute a SET sql_log_bin =
OFF
statement. Alternatively, stop the master and
restart it without the
--log-bin
option. If you
restart the master, you might also want to disallow client
connections. For example, if all clients connect using TCP/IP,
enable the skip_networking
system variable when you restart the master.
With the binary log disabled, perform any table repair or rebuilding operations needed to re-create database objects. The binary log must be disabled during this step to prevent these operations from being logged and sent to the slaves later.
Re-enable the binary log on the master. If you set
sql_log_bin
to
OFF
earlier, execute a SET
sql_log_bin = ON
statement. If you restarted the
master to disable the binary log, restart it with
--log-bin
, and without enabling
the skip_networking
system
variable so that clients and slaves can connect.
Restart the slaves, this time without the
--skip-slave-start
option.
If you are upgrading an existing replication setup from a version
of MySQL that does not support global transaction identifiers to a
version that does, you should not enable GTIDs on either the
master or the slave before making sure that the setup meets all
the requirements for GTID-based replication. For example
server_uuid
, which was added in
MySQL 5.6, must exist for GTIDs to function correctly. See
Section 16.1.3.4, “Setting Up Replication Using GTIDs”, which contains
information about converting existing replication setups to use
GTID-based replication.
When the server is running with global transaction identifiers
(GTIDs) enabled (gtid_mode=ON
),
do not enable binary logging by mysql_upgrade.
It is not recommended to load a dump file when GTIDs are enabled
on the server (gtid_mode=ON
), if
your dump file includes system tables.
mysqldump issues DML instructions for the
system tables which use the non-transactional MyISAM storage
engine, and this combination is not permitted when GTIDs are
enabled. Also be aware that loading a dump file from a server with
GTIDs enabled, into another server with GTIDs enabled, causes
different transaction identifiers to be generated.
If you have followed the instructions but your replication setup is not working, the first thing to do is check the error log for messages. Many users have lost time by not doing this soon enough after encountering problems.
If you cannot tell from the error log what the problem was, try the following techniques:
Verify that the master has binary logging enabled by issuing a
SHOW MASTER STATUS
statement.
If logging is enabled, Position
is nonzero.
If binary logging is not enabled, verify that you are running
the master with the --log-bin
option.
Verify that the server_id
system variable was set at startup on both the master and
slave and that the ID value is unique on each server.
Verify that the slave is running. Use
SHOW SLAVE STATUS
to check
whether the Slave_IO_Running
and
Slave_SQL_Running
values are both
Yes
. If not, verify the options that were
used when starting the slave server. For example,
--skip-slave-start
prevents the
slave threads from starting until you issue a
START SLAVE
statement.
If the slave is running, check whether it established a
connection to the master. Use SHOW
PROCESSLIST
, find the I/O and SQL threads and check
their State
column to see what they
display. See
Section 16.2.2, “Replication Implementation Details”. If the
I/O thread state says Connecting to master
,
check the following:
Verify the privileges for the user being used for replication on the master.
Check that the host name of the master is correct and that
you are using the correct port to connect to the master.
The port used for replication is the same as used for
client network communication (the default is
3306
). For the host name, ensure that
the name resolves to the correct IP address.
Check the configuration file to see whether the
skip_networking
system
variable has been enabled on the master or slave to
disable networking. If so, comment the setting or remove
it.
If the master has a firewall or IP filtering configuration, ensure that the network port being used for MySQL is not being filtered.
Check that you can reach the master by using
ping
or
traceroute
/tracert
to reach the host.
If the slave was running previously but has stopped, the reason usually is that some statement that succeeded on the master failed on the slave. This should never happen if you have taken a proper snapshot of the master, and never modified the data on the slave outside of the slave thread. If the slave stops unexpectedly, it is a bug or you have encountered one of the known replication limitations described in Section 16.4.1, “Replication Features and Issues”. If it is a bug, see Section 16.4.5, “How to Report Replication Bugs or Problems”, for instructions on how to report it.
If a statement that succeeded on the master refuses to run on the slave, try the following procedure if it is not feasible to do a full database resynchronization by deleting the slave's databases and copying a new snapshot from the master:
Determine whether the affected table on the slave is
different from the master table. Try to understand how
this happened. Then make the slave's table identical to
the master's and run START
SLAVE
.
If the preceding step does not work or does not apply, try to understand whether it would be safe to make the update manually (if needed) and then ignore the next statement from the master.
If you decide that the slave can skip the next statement from the master, issue the following statements:
mysql>SET GLOBAL sql_slave_skip_counter =
mysql>N
;START SLAVE;
The value of N
should be 1 if
the next statement from the master does not use
AUTO_INCREMENT
or
LAST_INSERT_ID()
.
Otherwise, the value should be 2. The reason for using a
value of 2 for statements that use
AUTO_INCREMENT
or
LAST_INSERT_ID()
is that
they take two events in the binary log of the master.
See also Section 13.4.2.5, “SET GLOBAL sql_slave_skip_counter Statement”.
If you are sure that the slave started out perfectly synchronized with the master, and that no one has updated the tables involved outside of the slave thread, then presumably the discrepancy is the result of a bug. If you are running the most recent version of MySQL, please report the problem. If you are running an older version, try upgrading to the latest production release to determine whether the problem persists.
When you have determined that there is no user error involved, and replication still either does not work at all or is unstable, it is time to send us a bug report. We need to obtain as much information as possible from you to be able to track down the bug. Please spend some time and effort in preparing a good bug report.
If you have a repeatable test case that demonstrates the bug, please enter it into our bugs database using the instructions given in Section 1.7, “How to Report Bugs or Problems”. If you have a “phantom” problem (one that you cannot duplicate at will), use the following procedure:
Verify that no user error is involved. For example, if you update the slave outside of the slave thread, the data goes out of synchrony, and you can have unique key violations on updates. In this case, the slave thread stops and waits for you to clean up the tables manually to bring them into synchrony. This is not a replication problem. It is a problem of outside interference causing replication to fail.
Run the slave with the
--log-slave-updates
and
--log-bin
options. These
options cause the slave to log the updates that it receives
from the master into its own binary logs.
Save all evidence before resetting the replication state. If we have no information or only sketchy information, it becomes difficult or impossible for us to track down the problem. The evidence you should collect is:
All binary log files from the master
All binary log files from the slave
The output of SHOW MASTER
STATUS
from the master at the time you
discovered the problem
The output of SHOW SLAVE
STATUS
from the slave at the time you discovered
the problem
Error logs from the master and the slave
Use mysqlbinlog to examine the binary logs.
The following should be helpful to find the problem statement.
log_file
and
log_pos
are the
Master_Log_File
and
Read_Master_Log_Pos
values from
SHOW SLAVE STATUS
.
shell> mysqlbinlog --start-position=log_pos
log_file
| head
After you have collected the evidence for the problem, try to isolate it as a separate test case first. Then enter the problem with as much information as possible into our bugs database using the instructions at Section 1.7, “How to Report Bugs or Problems”.