Chapter 14 The InnoDB Storage Engine

MySQL stores data dictionary information for tables in .frm files in database directories. Unlike other MySQL storage engines, InnoDB also encodes information about the table in its own internal data dictionary inside the system tablespace. When MySQL drops a table or a database, it deletes one or more .frm files as well as the corresponding entries inside the InnoDB data dictionary. You cannot move InnoDB tables between databases simply by moving the .frm files. For information about moving InnoDB tables, see Section 14.6.1.4, “Moving or Copying InnoDB Tables”.

The default row format for InnoDB tables is defined by the innodb_default_row_format configuration option, which has a default value of DYNAMIC. Dynamic and Compressed row format allow you to take advantage of InnoDB features such as table compression and efficient off-page storage of long column values. To use these row formats, innodb_file_per_table must be enabled (the default as of MySQL 5.6.6) and innodb_file_format must be set to Barracuda.

SET GLOBAL innodb_file_per_table=1;
SET GLOBAL innodb_file_format=barracuda;
CREATE TABLE t3 (a INT, b CHAR (20), PRIMARY KEY (a)) ROW_FORMAT=DYNAMIC;
CREATE TABLE t4 (a INT, b CHAR (20), PRIMARY KEY (a)) ROW_FORMAT=COMPRESSED;

Alternatively, you can use CREATE TABLE ... TABLESPACE syntax to create an InnoDB table in a general tablespace. General tablespaces support all row formats. For more information, see Section 14.6.3.3, “General Tablespaces”.

CREATE TABLE t1 (c1 INT PRIMARY KEY) TABLESPACE ts1 ROW_FORMAT=DYNAMIC;

CREATE TABLE ... TABLESPACE syntax can also be used to create InnoDB tables with a Dynamic row format in the system tablespace, alongside tables with a Compact or Redundant row format.

CREATE TABLE t1 (c1 INT PRIMARY KEY) TABLESPACE = innodb_system ROW_FORMAT=DYNAMIC;

For more information about InnoDB row formats, see Section 14.11, “InnoDB Row Formats”. For how to determine the row format of an InnoDB table and the physical characteristics of InnoDB row formats, see Section 14.11, “InnoDB Row Formats”.

Always define a primary key for an InnoDB table, specifying the column or columns that:

For example, in a table containing information about people, you would not create a primary key on (firstname, lastname) because more than one person can have the same name, some people have blank last names, and sometimes people change their names. With so many constraints, often there is not an obvious set of columns to use as a primary key, so you create a new column with a numeric ID to serve as all or part of the primary key. You can declare an auto-increment column so that ascending values are filled in automatically as rows are inserted:

# The value of ID can act like a pointer between related items in different tables.
CREATE TABLE t5 (id INT AUTO_INCREMENT, b CHAR (20), PRIMARY KEY (id));

# The primary key can consist of more than one column. Any autoinc column must come first.
CREATE TABLE t6 (id INT AUTO_INCREMENT, a INT, b CHAR (20), PRIMARY KEY (id,a));

Although the table works correctly without defining a primary key, the primary key is involved with many aspects of performance and is a crucial design aspect for any large or frequently used table. It is recommended that you always specify a primary key in the CREATE TABLE statement. If you create the table, load data, and then run ALTER TABLE to add a primary key later, that operation is much slower than defining the primary key when creating the table.

To view the properties of an InnoDB table, issue a SHOW TABLE STATUS statement:

mysql> SHOW TABLE STATUS FROM test LIKE 't%' \G;
*************************** 1. row ***************************
           Name: t1
         Engine: InnoDB
        Version: 10
     Row_format: Compact
           Rows: 0
 Avg_row_length: 0
    Data_length: 16384
Max_data_length: 0
   Index_length: 0
      Data_free: 0
 Auto_increment: NULL
    Create_time: 2015-03-16 15:13:31
    Update_time: NULL
     Check_time: NULL
      Collation: latin1_swedish_ci
       Checksum: NULL
 Create_options:
        Comment:
1 row in set (0.00 sec)

For information about SHOW TABLE STATUS output, see Section 13.7.5.36, “SHOW TABLE STATUS Statement”.

InnoDB table properties may also be queried using the InnoDB Information Schema system tables:

mysql> SELECT * FROM INFORMATION_SCHEMA.INNODB_SYS_TABLES WHERE NAME='test/t1' \G
*************************** 1. row ***************************
     TABLE_ID: 45
         NAME: test/t1
         FLAG: 1
       N_COLS: 5
        SPACE: 35
  FILE_FORMAT: Antelope
   ROW_FORMAT: Compact
ZIP_PAGE_SIZE: 0
   SPACE_TYPE: Single
1 row in set (0.00 sec)

For more information, see Section 14.16.3, “InnoDB INFORMATION_SCHEMA System Tables”.

You can create an InnoDB table in an external directory by specifying a DATA DIRECTORY clause in the CREATE TABLE statement.

CREATE TABLE t1 (c1 INT PRIMARY KEY) DATA DIRECTORY = '/external/directory';

The DATA DIRECTORY clause is supported for tables created in file-per-table tablespaces. Tables are implicitly created in file-per-table tablespaces when the innodb_file_per_table variable is enabled, which it is by default.

mysql> SELECT @@innodb_file_per_table;
+-------------------------+
| @@innodb_file_per_table |
+-------------------------+
|                       1 |
+-------------------------+ 

For more information about file-per-table tablespaces, see Section 14.6.3.2, “File-Per-Table Tablespaces”.

Be sure of the directory location you choose, as the DATA DIRECTORY clause cannot be used with ALTER TABLE to change the location later.

When you specify a DATA DIRECTORY clause in a CREATE TABLE statement, the table's data file (table_name.ibd) is created in a schema directory under the specified directory, and an .isl file (table_name.isl) that contains the data file path is created in the schema directory under the MySQL data directory. An .isl file is similar in function to a symbolic link. (Actual symbolic links are not supported for use with InnoDB data files.)

The following example demonstrates creating a table in an external directory using the DATA DIRECTORY clause. It is assumed that the innodb_file_per_table variable is enabled.

mysql> USE test;
Database changed

mysql> CREATE TABLE t1 (c1 INT PRIMARY KEY) DATA DIRECTORY = '/external/directory';

# MySQL creates the table's data file in a schema directory 
# under the external directory

shell> cd /external/directory/test
shell> ls
t1.ibd

# An .isl file that contains the data file path is created
# in the schema directory under the MySQL data directory

shell> cd /path/to/mysql/data/test
shell> ls
db.opt  t1.frm  t1.isl

Usage Notes:

CREATE TABLE ... TABLESPACE syntax can be used in combination with the DATA DIRECTORY clause to create a table in an external directory. To do so, specify innodb_file_per_table as the tablespace name.

mysql> CREATE TABLE t2 (c1 INT PRIMARY KEY) TABLESPACE = innodb_file_per_table
       DATA DIRECTORY = '/external/directory';

This method is supported only for tables created in file-per-table tablespaces, but does not require the innodb_file_per_table variable to be enabled. In all other respects, this method is equivalent to the CREATE TABLE ... DATA DIRECTORY method described above. The same usage notes apply.

You can create a table in a general tablespace that resides in an external directory.

This example demonstrates how to import a regular non-partitioned table that resides in a file-per-table tablespace.

This example demonstrates how to import a partitioned table, where each table partition resides in a file-per-table tablespace.

This example demonstrates how to import individual table partitions, where each partition resides in a file-per-table tablespace file.

In the following example, two partitions (p2 and p3) of a four-partition table are imported.

The following information describes internals and messages written to the error log during a table import procedure.

When ALTER TABLE ... DISCARD TABLESPACE is run on the destination instance:

When FLUSH TABLES ... FOR EXPORT is run on the source instance:

Expected error log messages for this operation:

[Note] InnoDB: Sync to disk of '"test"."t1"' started.
[Note] InnoDB: Stopping purge
[Note] InnoDB: Writing table metadata to './test/t1.cfg'
[Note] InnoDB: Table '"test"."t1"' flushed to disk

When UNLOCK TABLES is run on the source instance:

Expected error log messages for this operation:

[Note] InnoDB: Deleting the meta-data file './test/t1.cfg'
[Note] InnoDB: Resuming purge

When ALTER TABLE ... IMPORT TABLESPACE is run on the destination instance, the import algorithm performs the following operations for each tablespace being imported:

Expected error log messages for this operation:

[Note] InnoDB: Importing tablespace for table 'test/t1' that was exported
from host 'host_name'
[Note] InnoDB: Phase I - Update all pages
[Note] InnoDB: Sync to disk
[Note] InnoDB: Sync to disk - done!
[Note] InnoDB: Phase III - Flush changes to disk
[Note] InnoDB: Phase IV - Flush complete

[Warning] InnoDB: Table "test"."t1" tablespace is set as discarded. 
7f34d9a37700 InnoDB: cannot calculate statistics for table 
"test"."t1" because the .ibd file is missing. For help, please refer to
http://dev.mysql.com/doc/refman/5.7/en/innodb-troubleshooting.html

As you transition away from MyISAM tables, lower the value of the key_buffer_size configuration option to free memory no longer needed for caching results. Increase the value of the innodb_buffer_pool_size configuration option, which performs a similar role of allocating cache memory for InnoDB tables. The InnoDB buffer pool caches both table data and index data, speeding up lookups for queries and keeping query results in memory for reuse. For guidance regarding buffer pool size configuration, see Section 8.12.4.1, “How MySQL Uses Memory”.

On a busy server, run benchmarks with the query cache turned off. The InnoDB buffer pool provides similar benefits, so the query cache might be tying up memory unnecessarily. For information about the query cache, see Section 8.10.3, “The MySQL Query Cache”.

Because MyISAM tables do not support transactions, you might not have paid much attention to the autocommit configuration option and the COMMIT and ROLLBACK statements. These keywords are important to allow multiple sessions to read and write InnoDB tables concurrently, providing substantial scalability benefits in write-heavy workloads.

While a transaction is open, the system keeps a snapshot of the data as seen at the beginning of the transaction, which can cause substantial overhead if the system inserts, updates, and deletes millions of rows while a stray transaction keeps running. Thus, take care to avoid transactions that run for too long:

The preceding tips save memory and disk space that can be wasted during too-long transactions. When transactions are shorter than they should be, the problem is excessive I/O. With each COMMIT, MySQL makes sure each change is safely recorded to disk, which involves some I/O.

You might see warning messages referring to “deadlocks” in the MySQL error log, or the output of SHOW ENGINE INNODB STATUS. Despite the scary-sounding name, a deadlock is not a serious issue for InnoDB tables, and often does not require any corrective action. When two transactions start modifying multiple tables, accessing the tables in a different order, they can reach a state where each transaction is waiting for the other and neither can proceed. When deadlock detection is enabled (the default), MySQL immediately detects this condition and cancels (rolls back) the “smaller” transaction, allowing the other to proceed. If deadlock detection is disabled using the innodb_deadlock_detect configuration option, InnoDB relies on the innodb_lock_wait_timeout setting to roll back transactions in case of a deadlock.

Either way, your applications need error-handling logic to restart a transaction that is forcibly cancelled due to a deadlock. When you re-issue the same SQL statements as before, the original timing issue no longer applies. Either the other transaction has already finished and yours can proceed, or the other transaction is still in progress and your transaction waits until it finishes.

If deadlock warnings occur constantly, you might review the application code to reorder the SQL operations in a consistent way, or to shorten the transactions. You can test with the innodb_print_all_deadlocks option enabled to see all deadlock warnings in the MySQL error log, rather than only the last warning in the SHOW ENGINE INNODB STATUS output.

For more information, see Section 14.7.5, “Deadlocks in InnoDB”.

To get the best performance from InnoDB tables, you can adjust a number of parameters related to storage layout.

When you convert MyISAM tables that are large, frequently accessed, and hold vital data, investigate and consider the innodb_file_per_table, innodb_file_format, and innodb_page_size configuration options, and the ROW_FORMAT and KEY_BLOCK_SIZE clauses of the CREATE TABLE statement.

During your initial experiments, the most important setting is innodb_file_per_table. When this setting is enabled, which is the default as of MySQL 5.6.6, new InnoDB tables are implicitly created in file-per-table tablespaces. In contrast with the InnoDB system tablespace, file-per-table tablespaces allow disk space to be reclaimed by the operating system when a table is truncated or dropped. File-per-table tablespaces also support the Barracuda file format and associated features such as table compression, efficient off-page storage for long variable-length columns, and large index prefixes. For more information, see Section 14.6.3.2, “File-Per-Table Tablespaces”.

You can also store InnoDB tables in a shared general tablespace. General tablespaces support the Barracuda file format and can contain multiple tables. For more information, see Section 14.6.3.3, “General Tablespaces”.

To convert a non-InnoDB table to use InnoDB use ALTER TABLE:

ALTER TABLE table_name ENGINE=InnoDB;

You might make an InnoDB table that is a clone of a MyISAM table, rather than using ALTER TABLE to perform conversion, to test the old and new table side-by-side before switching.

Create an empty InnoDB table with identical column and index definitions. Use SHOW CREATE TABLE table_name\G to see the full CREATE TABLE statement to use. Change the ENGINE clause to ENGINE=INNODB.

To transfer a large volume of data into an empty InnoDB table created as shown in the previous section, insert the rows with INSERT INTO innodb_table SELECT * FROM myisam_table ORDER BY primary_key_columns.

You can also create the indexes for the InnoDB table after inserting the data. Historically, creating new secondary indexes was a slow operation for InnoDB, but now you can create the indexes after the data is loaded with relatively little overhead from the index creation step.

If you have UNIQUE constraints on secondary keys, you can speed up a table import by turning off the uniqueness checks temporarily during the import operation:

SET unique_checks=0;... import operation ...
SET unique_checks=1;

For big tables, this saves disk I/O because InnoDB can use its change buffer to write secondary index records as a batch. Be certain that the data contains no duplicate keys. unique_checks permits but does not require storage engines to ignore duplicate keys.

For better control over the insertion process, you can insert big tables in pieces:

INSERT INTO newtable SELECT * FROM oldtable
   WHERE yourkey > something AND yourkey <= somethingelse;

After all records are inserted, you can rename the tables.

During the conversion of big tables, increase the size of the InnoDB buffer pool to reduce disk I/O, to a maximum of 80% of physical memory. You can also increase the size of InnoDB log files.

If you intend to make several temporary copies of your data in InnoDB tables during the conversion process, it is recommended that you create the tables in file-per-table tablespaces so that you can reclaim the disk space when you drop the tables. When the innodb_file_per_table configuration option is enabled (the default), newly created InnoDB tables are implicitly created in file-per-table tablespaces.

Whether you convert the MyISAM table directly or create a cloned InnoDB table, make sure that you have sufficient disk space to hold both the old and new tables during the process. InnoDB tables require more disk space than MyISAM tables. If an ALTER TABLE operation runs out of space, it starts a rollback, and that can take hours if it is disk-bound. For inserts, InnoDB uses the insert buffer to merge secondary index records to indexes in batches. That saves a lot of disk I/O. For rollback, no such mechanism is used, and the rollback can take 30 times longer than the insertion.

In the case of a runaway rollback, if you do not have valuable data in your database, it may be advisable to kill the database process rather than wait for millions of disk I/O operations to complete. For the complete procedure, see Section 14.22.2, “Forcing InnoDB Recovery”.

The PRIMARY KEY clause is a critical factor affecting the performance of MySQL queries and the space usage for tables and indexes. The primary key uniquely identifies a row in a table. Every row in the table must have a primary key value, and no two rows can have the same primary key value.

These are guidelines for the primary key, followed by more detailed explanations.

Consider adding a primary key to any table that does not already have one. Use the smallest practical numeric type based on the maximum projected size of the table. This can make each row slightly more compact, which can yield substantial space savings for large tables. The space savings are multiplied if the table has any secondary indexes, because the primary key value is repeated in each secondary index entry. In addition to reducing data size on disk, a small primary key also lets more data fit into the buffer pool, speeding up all kinds of operations and improving concurrency.

If the table already has a primary key on some longer column, such as a VARCHAR, consider adding a new unsigned AUTO_INCREMENT column and switching the primary key to that, even if that column is not referenced in queries. This design change can produce substantial space savings in the secondary indexes. You can designate the former primary key columns as UNIQUE NOT NULL to enforce the same constraints as the PRIMARY KEY clause, that is, to prevent duplicate or null values across all those columns.

If you spread related information across multiple tables, typically each table uses the same column for its primary key. For example, a personnel database might have several tables, each with a primary key of employee number. A sales database might have some tables with a primary key of customer number, and other tables with a primary key of order number. Because lookups using the primary key are very fast, you can construct efficient join queries for such tables.

If you leave the PRIMARY KEY clause out entirely, MySQL creates an invisible one for you. It is a 6-byte value that might be longer than you need, thus wasting space. Because it is hidden, you cannot refer to it in queries.

The reliability and scalability features of InnoDB require more disk storage than equivalent MyISAM tables. You might change the column and index definitions slightly, for better space utilization, reduced I/O and memory consumption when processing result sets, and better query optimization plans making efficient use of index lookups.

If you do set up a numeric ID column for the primary key, use that value to cross-reference with related values in any other tables, particularly for join queries. For example, rather than accepting a country name as input and doing queries searching for the same name, do one lookup to determine the country ID, then do other queries (or a single join query) to look up relevant information across several tables. Rather than storing a customer or catalog item number as a string of digits, potentially using up several bytes, convert it to a numeric ID for storing and querying. A 4-byte unsigned INT column can index over 4 billion items (with the US meaning of billion: 1000 million). For the ranges of the different integer types, see Section 11.1.2, “Integer Types (Exact Value) - INTEGER, INT, SMALLINT, TINYINT, MEDIUMINT, BIGINT”.

InnoDB files require more care and planning than MyISAM files do.

This section describes the behavior of AUTO_INCREMENT lock modes used to generate auto-increment values, and how each lock mode affects replication. Auto-increment lock modes are configured at startup using the innodb_autoinc_lock_mode configuration parameter.

The following terms are used in describing innodb_autoinc_lock_mode settings:

There are three possible settings for the innodb_autoinc_lock_mode configuration parameter. The settings are 0, 1, or 2, for “traditional”, “consecutive”, or “interleaved” lock mode, respectively.

This section describes how InnoDB initializes AUTO_INCREMENT counters.

If you specify an AUTO_INCREMENT column for an InnoDB table, the table handle in the InnoDB data dictionary contains a special counter called the auto-increment counter that is used in assigning new values for the column. This counter is stored only in main memory, not on disk.

To initialize an auto-increment counter after a server restart, InnoDB executes the equivalent of the following statement on the first insert into a table containing an AUTO_INCREMENT column.

SELECT MAX(ai_col) FROM table_name FOR UPDATE;

InnoDB increments the value retrieved by the statement and assigns it to the column and to the auto-increment counter for the table. By default, the value is incremented by 1. This default can be overridden by the auto_increment_increment configuration setting.

If the table is empty, InnoDB uses the value 1. This default can be overridden by the auto_increment_offset configuration setting.

If a SHOW TABLE STATUS statement examines the table before the auto-increment counter is initialized, InnoDB initializes but does not increment the value. The value is stored for use by later inserts. This initialization uses a normal exclusive-locking read on the table and the lock lasts to the end of the transaction. InnoDB follows the same procedure for initializing the auto-increment counter for a newly created table.

After the auto-increment counter has been initialized, if you do not explicitly specify a value for an AUTO_INCREMENT column, InnoDB increments the counter and assigns the new value to the column. If you insert a row that explicitly specifies the column value, and the value is greater than the current counter value, the counter is set to the specified column value.

InnoDB uses the in-memory auto-increment counter as long as the server runs. When the server is stopped and restarted, InnoDB reinitializes the counter for each table for the first INSERT to the table, as described earlier.

A server restart also cancels the effect of the AUTO_INCREMENT = N table option in CREATE TABLE and ALTER TABLE statements, which you can use with InnoDB tables to set the initial counter value or alter the current counter value.

Accessing a row through the clustered index is fast because the index search leads directly to the page with all the row data. If a table is large, the clustered index architecture often saves a disk I/O operation when compared to storage organizations that store row data using a different page from the index record.

All indexes other than the clustered index are known as secondary indexes. In InnoDB, each record in a secondary index contains the primary key columns for the row, as well as the columns specified for the secondary index. InnoDB uses this primary key value to search for the row in the clustered index.

If the primary key is long, the secondary indexes use more space, so it is advantageous to have a short primary key.

For guidelines to take advantage of InnoDB clustered and secondary indexes, see Section 8.3, “Optimization and Indexes”.

InnoDB FULLTEXT indexes have an inverted index design. Inverted indexes store a list of words, and for each word, a list of documents that the word appears in. To support proximity search, position information for each word is also stored, as a byte offset.

When creating an InnoDB FULLTEXT index, a set of index tables is created, as shown in the following example:

mysql> CREATE TABLE opening_lines (
       id INT UNSIGNED AUTO_INCREMENT NOT NULL PRIMARY KEY,
       opening_line TEXT(500),
       author VARCHAR(200),
       title VARCHAR(200),
       FULLTEXT idx (opening_line)
       ) ENGINE=InnoDB;

mysql> SELECT table_id, name, space from INFORMATION_SCHEMA.INNODB_SYS_TABLES
       WHERE name LIKE 'test/%';
+----------+----------------------------------------------------+-------+
| table_id | name                                               | space |
+----------+----------------------------------------------------+-------+
|      333 | test/FTS_0000000000000147_00000000000001c9_INDEX_1 |   289 |
|      334 | test/FTS_0000000000000147_00000000000001c9_INDEX_2 |   290 |
|      335 | test/FTS_0000000000000147_00000000000001c9_INDEX_3 |   291 |
|      336 | test/FTS_0000000000000147_00000000000001c9_INDEX_4 |   292 |
|      337 | test/FTS_0000000000000147_00000000000001c9_INDEX_5 |   293 |
|      338 | test/FTS_0000000000000147_00000000000001c9_INDEX_6 |   294 |
|      330 | test/FTS_0000000000000147_BEING_DELETED            |   286 |
|      331 | test/FTS_0000000000000147_BEING_DELETED_CACHE      |   287 |
|      332 | test/FTS_0000000000000147_CONFIG                   |   288 |
|      328 | test/FTS_0000000000000147_DELETED                  |   284 |
|      329 | test/FTS_0000000000000147_DELETED_CACHE            |   285 |
|      327 | test/opening_lines                                 |   283 |
+----------+----------------------------------------------------+-------+ 

The first six tables represent the inverted index and are referred to as auxiliary index tables. When incoming documents are tokenized, the individual words (also referred to as “tokens”) are inserted into the index tables along with position information and the associated Document ID (DOC_ID). The words are fully sorted and partitioned among the six index tables based on the character set sort weight of the word's first character.

The inverted index is partitioned into six auxiliary index tables to support parallel index creation. By default, two threads tokenize, sort, and insert words and associated data into the index tables. The number of threads is configurable using the innodb_ft_sort_pll_degree option. Consider increasing the number of threads when creating FULLTEXT indexes on large tables.

Auxiliary index table names are prefixed with FTS_ and postfixed with INDEX_*. Each index table is associated with the indexed table by a hex value in the index table name that matches the table_id of the indexed table. For example, the table_id of the test/opening_lines table is 327, for which the hex value is 0x147. As shown in the preceding example, the “147” hex value appears in the names of index tables that are associated with the test/opening_lines table.

A hex value representing the index_id of the FULLTEXT index also appears in auxiliary index table names. For example, in the auxiliary table name test/FTS_0000000000000147_00000000000001c9_INDEX_1, the hex value 1c9 has a decimal value of 457. The index defined on the opening_lines table (idx) can be identified by querying the INFORMATION_SCHEMA.INNODB_SYS_INDEXES table for this value (457).

mysql> SELECT index_id, name, table_id, space from INFORMATION_SCHEMA.INNODB_SYS_INDEXES
       WHERE index_id=457;
+----------+------+----------+-------+
| index_id | name | table_id | space |
+----------+------+----------+-------+
|      457 | idx  |      327 |   283 |
+----------+------+----------+-------+

Index tables are stored in their own tablespace if the primary table is created in a file-per-table tablespace.

The other index tables shown in the preceding example are referred to as common index tables and are used for deletion handling and storing the internal state of FULLTEXT indexes. Unlike the inverted index tables, which are created for each full-text index, this set of tables is common to all full-text indexes created on a particular table.

Common auxiliary tables are retained even if full-text indexes are dropped. When a full-text index is dropped, the FTS_DOC_ID column that was created for the index is retained, as removing the FTS_DOC_ID column would require rebuilding the table. Common axillary tables are required to manage the FTS_DOC_ID column.

When a document is inserted, it is tokenized, and the individual words and associated data are inserted into the FULLTEXT index. This process, even for small documents, could result in numerous small insertions into the auxiliary index tables, making concurrent access to these tables a point of contention. To avoid this problem, InnoDB uses a FULLTEXT index cache to temporarily cache index table insertions for recently inserted rows. This in-memory cache structure holds insertions until the cache is full and then batch flushes them to disk (to the auxiliary index tables). You can query the INFORMATION_SCHEMA.INNODB_FT_INDEX_CACHE table to view tokenized data for recently inserted rows.

The caching and batch flushing behavior avoids frequent updates to auxiliary index tables, which could result in concurrent access issues during busy insert and update times. The batching technique also avoids multiple insertions for the same word, and minimizes duplicate entries. Instead of flushing each word individually, insertions for the same word are merged and flushed to disk as a single entry, improving insertion efficiency while keeping auxiliary index tables as small as possible.

The innodb_ft_cache_size variable is used to configure the full-text index cache size (on a per-table basis), which affects how often the full-text index cache is flushed. You can also define a global full-text index cache size limit for all tables in a given instance using the innodb_ft_total_cache_size option.

The full-text index cache stores the same information as auxiliary index tables. However, the full-text index cache only caches tokenized data for recently inserted rows. The data that is already flushed to disk (to the full-text auxiliary tables) is not brought back into the full-text index cache when queried. The data in auxiliary index tables is queried directly, and results from the auxiliary index tables are merged with results from the full-text index cache before being returned.

InnoDB uses a unique document identifier referred to as a Document ID (DOC_ID) to map words in the full-text index to document records where the word appears. The mapping requires an FTS_DOC_ID column on the indexed table. If an FTS_DOC_ID column is not defined, InnoDB automatically adds a hidden FTS_DOC_ID column when the full-text index is created. The following example demonstrates this behavior.

The following table definition does not include an FTS_DOC_ID column:

mysql> CREATE TABLE opening_lines (
       id INT UNSIGNED AUTO_INCREMENT NOT NULL PRIMARY KEY,
       opening_line TEXT(500),
       author VARCHAR(200),
       title VARCHAR(200)
       ) ENGINE=InnoDB;   

When you create a full-text index on the table using CREATE FULLTEXT INDEX syntax, a warning is returned which reports that InnoDB is rebuilding the table to add the FTS_DOC_ID column.

mysql> CREATE FULLTEXT INDEX idx ON opening_lines(opening_line);
Query OK, 0 rows affected, 1 warning (0.19 sec)
Records: 0  Duplicates: 0  Warnings: 1

mysql> SHOW WARNINGS;
+---------+------+--------------------------------------------------+
| Level   | Code | Message                                          |
+---------+------+--------------------------------------------------+
| Warning |  124 | InnoDB rebuilding table to add column FTS_DOC_ID |
+---------+------+--------------------------------------------------+

The same warning is returned when using ALTER TABLE to add a full-text index to a table that does not have an FTS_DOC_ID column. If you create a full-text index at CREATE TABLE time and do not specify an FTS_DOC_ID column, InnoDB adds a hidden FTS_DOC_ID column, without warning.

Defining an FTS_DOC_ID column at CREATE TABLE time is less expensive than creating a full-text index on a table that is already loaded with data. If an FTS_DOC_ID column is defined on a table prior to loading data, the table and its indexes do not have to be rebuilt to add the new column. If you are not concerned with CREATE FULLTEXT INDEX performance, leave out the FTS_DOC_ID column to have InnoDB create it for you. InnoDB creates a hidden FTS_DOC_ID column along with a unique index (FTS_DOC_ID_INDEX) on the FTS_DOC_ID column. If you want to create your own FTS_DOC_ID column, the column must be defined as BIGINT UNSIGNED NOT NULL and named FTS_DOC_ID (all uppercase), as in the following example:

mysql> CREATE TABLE opening_lines (
       FTS_DOC_ID BIGINT UNSIGNED AUTO_INCREMENT NOT NULL PRIMARY KEY,
       opening_line TEXT(500),
       author VARCHAR(200),
       title VARCHAR(200)
       ) ENGINE=InnoDB;    

If you choose to define the FTS_DOC_ID column yourself, you are responsible for managing the column to avoid empty or duplicate values. FTS_DOC_ID values cannot be reused, which means FTS_DOC_ID values must be ever increasing.

Optionally, you can create the required unique FTS_DOC_ID_INDEX (all uppercase) on the FTS_DOC_ID column.

mysql> CREATE UNIQUE INDEX FTS_DOC_ID_INDEX on opening_lines(FTS_DOC_ID);

If you do not create the FTS_DOC_ID_INDEX, InnoDB creates it automatically.

Before MySQL 5.7.13, the permitted gap between the largest used FTS_DOC_ID value and new FTS_DOC_ID value is 10000. In MySQL 5.7.13 and later, the permitted gap is 65535.

To avoid rebuilding the table, the FTS_DOC_ID column is retained when dropping a full-text index.

Deleting a record that has a full-text index column could result in numerous small deletions in the auxiliary index tables, making concurrent access to these tables a point of contention. To avoid this problem, the Document ID (DOC_ID) of a deleted document is logged in a special FTS_*_DELETED table whenever a record is deleted from an indexed table, and the indexed record remains in the full-text index. Before returning query results, information in the FTS_*_DELETED table is used to filter out deleted Document IDs. The benefit of this design is that deletions are fast and inexpensive. The drawback is that the size of the index is not immediately reduced after deleting records. To remove full-text index entries for deleted records, run OPTIMIZE TABLE on the indexed table with innodb_optimize_fulltext_only=ON to rebuild the full-text index. For more information, see Optimizing InnoDB Full-Text Indexes.

InnoDB FULLTEXT indexes have special transaction handling characteristics due its caching and batch processing behavior. Specifically, updates and insertions on a FULLTEXT index are processed at transaction commit time, which means that a FULLTEXT search can only see committed data. The following example demonstrates this behavior. The FULLTEXT search only returns a result after the inserted lines are committed.

mysql> CREATE TABLE opening_lines (
       id INT UNSIGNED AUTO_INCREMENT NOT NULL PRIMARY KEY,
       opening_line TEXT(500),
       author VARCHAR(200),
       title VARCHAR(200),
       FULLTEXT idx (opening_line)
       ) ENGINE=InnoDB;

mysql> BEGIN;

mysql> INSERT INTO opening_lines(opening_line,author,title) VALUES
       ('Call me Ishmael.','Herman Melville','Moby-Dick'),
       ('A screaming comes across the sky.','Thomas Pynchon','Gravity\'s Rainbow'),
       ('I am an invisible man.','Ralph Ellison','Invisible Man'),
       ('Where now? Who now? When now?','Samuel Beckett','The Unnamable'),
       ('It was love at first sight.','Joseph Heller','Catch-22'),
       ('All this happened, more or less.','Kurt Vonnegut','Slaughterhouse-Five'),
       ('Mrs. Dalloway said she would buy the flowers herself.','Virginia Woolf','Mrs. Dalloway'),
       ('It was a pleasure to burn.','Ray Bradbury','Fahrenheit 451');

mysql> SELECT COUNT(*) FROM opening_lines WHERE MATCH(opening_line) AGAINST('Ishmael');
+----------+
| COUNT(*) |
+----------+
|        0 |
+----------+

mysql> COMMIT;

mysql> SELECT COUNT(*) FROM opening_lines WHERE MATCH(opening_line) AGAINST('Ishmael');
+----------+
| COUNT(*) |
+----------+
|        1 |
+----------+

You can monitor and examine the special text-processing aspects of InnoDB FULLTEXT indexes by querying the following INFORMATION_SCHEMA tables:

You can also view basic information for FULLTEXT indexes and tables by querying INNODB_SYS_INDEXES and INNODB_SYS_TABLES.

For more information, see Section 14.16.4, “InnoDB INFORMATION_SCHEMA FULLTEXT Index Tables”.

This section describes how to increase or decrease the size of the system tablespace.

Increasing the Size of the System Tablespace

The easiest way to increase the size of the system tablespace is to configure it to be auto-extending. To do so, specify the autoextend attribute for the last data file in the innodb_data_file_path setting, and restart the server. For example:

innodb_data_file_path=ibdata1:10M:autoextend        

When the autoextend attribute is specified, the data file automatically increases in size by 8MB increments as space is required. The innodb_autoextend_increment variable controls the increment size.

You can also increase system tablespace size by adding another data file. To do so:

For example, this tablespace has one auto-extending data file:

innodb_data_home_dir =
innodb_data_file_path = /ibdata/ibdata1:10M:autoextend

Suppose that the data file has grown to 988MB over time. This is the innodb_data_file_path setting after modifying the size attribute to reflect the current data file size, and after specifying a new 50MB auto-extending data file:

innodb_data_home_dir =
innodb_data_file_path = /ibdata/ibdata1:988M;/disk2/ibdata2:50M:autoextend

When adding a new data file, do not specify an existing file name. InnoDB creates and initializes the new data file when you start the server.

[ERROR] [MY-012263] [InnoDB] The Auto-extending innodb_system 
data file './ibdata1' is of a different size 640 pages (rounded down to MB) than 
specified in the .cnf file: initial 768 pages, max 0 (relevant if non-zero) pages!

Decreasing the Size of the InnoDB System Tablespace

You cannot remove a data file from the system tablespace. To decrease the system tablespace size, use this procedure:

To avoid large system tablespaces, consider using file-per-table tablespaces for your data. File-per-table tablespaces are the default tablespace type and are used implicitly when creating an InnoDB table. Unlike the system tablespace, disk space is returned to the operating system after truncating or dropping a table created in a file-per-table tablespace. For more information, see Section 14.6.3.2, “File-Per-Table Tablespaces”.

You can use raw disk partitions as data files in the InnoDB system tablespace. This technique enables nonbuffered I/O on Windows and on some Linux and Unix systems without file system overhead. Perform tests with and without raw partitions to verify whether this change actually improves performance on your system.

When you use a raw disk partition, ensure that the user ID that runs the MySQL server has read and write privileges for that partition. For example, if you run the server as the mysql user, the partition must be readable and writeable by mysql. If you run the server with the --memlock option, the server must be run as root, so the partition must be readable and writeable by root.

The procedures described below involve option file modification. For additional information, see Section 4.2.2.2, “Using Option Files”.

Allocating a Raw Disk Partition on Linux and Unix Systems

Allocating a Raw Disk Partition on Windows

On Windows systems, the same steps and accompanying guidelines described for Linux and Unix systems apply except that the innodb_data_file_path setting differs slightly on Windows.

InnoDB creates tables in file-per-table tablespaces by default. This behavior is controlled by the innodb_file_per_table variable. Disabling innodb_file_per_table causes InnoDB to create tables in the system tablespace.

An innodb_file_per_table setting can be specified in an option file or configured at runtime using a SET GLOBAL statement. Changing the setting at runtime requires privileges sufficient to set global system variables. See Section 5.1.8.1, “System Variable Privileges”.

Option file:

[mysqld]
innodb_file_per_table=ON

Using SET GLOBAL at runtime:

mysql> SET GLOBAL innodb_file_per_table=ON;

innodb_file_per_table is enabled by default in MySQL 5.6 and higher. You might consider disabling it if backward compatibility with earlier versions of MySQL is a concern.

A file-per-table tablespace is created in an .idb data file in a schema directory under the MySQL data directory. The .ibd file is named for the table (table_name.ibd). For example, the data file for table test.t1 is created in the test directory under the MySQL data directory:

mysql> USE test;  
  
mysql> CREATE TABLE t1 (
   id INT PRIMARY KEY AUTO_INCREMENT,
   name VARCHAR(100) 
 ) ENGINE = InnoDB; 
 
shell> cd /path/to/mysql/data/test
shell> ls 
t1.ibd

You can use the DATA DIRECTORY clause of the CREATE TABLE statement to implicitly create a file-per-table tablespace data file outside of the data directory. For more information, see Section 14.6.1.2, “Creating Tables Externally”.

File-per-table tablespaces have the following advantages over shared tablespaces such as the system tablespace or general tablespaces.

File-per-table tablespaces have the following disadvantages compared to shared tablespaces such as the system tablespace or general tablespaces.

The general tablespace feature provides the following capabilities:

General tablespaces are created using CREATE TABLESPACE syntax.

CREATE TABLESPACE tablespace_name
    ADD DATAFILE 'file_name'
    [FILE_BLOCK_SIZE = value]
        [ENGINE [=] engine_name]

A general tablespace can be created in the data directory or outside of it. To avoid conflicts with implicitly created file-per-table tablespaces, creating a general tablespace in a subdirectory under the data directory is not supported. When creating a general tablespace outside of the data directory, the directory must exist prior to creating the tablespace.

An .isl file is created in the MySQL data directory when a general tablespace is created outside of the MySQL data directory.

Examples:

Creating a general tablespace in the data directory:

mysql> CREATE TABLESPACE `ts1` ADD DATAFILE 'ts1.ibd' Engine=InnoDB;

Creating a general tablespace in a directory outside of the data directory:

mysql> CREATE TABLESPACE `ts1` ADD DATAFILE '/my/tablespace/directory/ts1.ibd' Engine=InnoDB;

You can specify a path that is relative to the data directory as long as the tablespace directory is not under the data directory. In this example, the my_tablespace directory is at the same level as the data directory:

mysql> CREATE TABLESPACE `ts1` ADD DATAFILE '../my_tablespace/ts1.ibd' Engine=InnoDB;

After creating an InnoDB general tablespace, you can use CREATE TABLE tbl_name ... TABLESPACE [=] tablespace_name or ALTER TABLE tbl_name TABLESPACE [=] tablespace_name to add tables to the tablespace, as shown in the following examples:

CREATE TABLE:

mysql> CREATE TABLE t1 (c1 INT PRIMARY KEY) TABLESPACE ts1;

ALTER TABLE:

mysql> ALTER TABLE t2 TABLESPACE ts1;

For detailed syntax information, see CREATE TABLE and ALTER TABLE.

General tablespaces support all table row formats (REDUNDANT, COMPACT, DYNAMIC, COMPRESSED) with the caveat that compressed and uncompressed tables cannot coexist in the same general tablespace due to different physical page sizes.

For a general tablespace to contain compressed tables (ROW_FORMAT=COMPRESSED), FILE_BLOCK_SIZE must be specified, and the FILE_BLOCK_SIZE value must be a valid compressed page size in relation to the innodb_page_size value. Also, the physical page size of the compressed table (KEY_BLOCK_SIZE) must be equal to FILE_BLOCK_SIZE/1024. For example, if innodb_page_size=16KB and FILE_BLOCK_SIZE=8K, the KEY_BLOCK_SIZE of the table must be 8.

The following table shows permitted innodb_page_size, FILE_BLOCK_SIZE, and KEY_BLOCK_SIZE combinations. FILE_BLOCK_SIZE values may also be specified in bytes. To determine a valid KEY_BLOCK_SIZE value for a given FILE_BLOCK_SIZE, divide the FILE_BLOCK_SIZE value by 1024. Table compression is not support for 32K and 64K InnoDB page sizes. For more information about KEY_BLOCK_SIZE, see CREATE TABLE, and Section 14.9.1.2, “Creating Compressed Tables”.

This example demonstrates creating a general tablespace and adding a compressed table. The example assumes a default innodb_page_size of 16KB. The FILE_BLOCK_SIZE of 8192 requires that the compressed table have a KEY_BLOCK_SIZE of 8.

mysql> CREATE TABLESPACE `ts2` ADD DATAFILE 'ts2.ibd' FILE_BLOCK_SIZE = 8192 Engine=InnoDB;

mysql> CREATE TABLE t4 (c1 INT PRIMARY KEY) TABLESPACE ts2 ROW_FORMAT=COMPRESSED KEY_BLOCK_SIZE=8;

If you do not specify FILE_BLOCK_SIZE when creating a general tablespace, FILE_BLOCK_SIZE defaults to innodb_page_size. When FILE_BLOCK_SIZE is equal to innodb_page_size, the tablespace may only contain tables with an uncompressed row format (COMPACT, REDUNDANT, and DYNAMIC row formats).

You can use ALTER TABLE with the TABLESPACE option to move a table to an existing general tablespace, to a new file-per-table tablespace, or to the system tablespace.

To move a table from a file-per-table tablespace or from the system tablespace to a general tablespace, specify the name of the general tablespace. The general tablespace must exist. See CREATE TABLESPACE for more information.

ALTER TABLE tbl_name TABLESPACE [=] tablespace_name;

To move a table from a general tablespace or file-per-table tablespace to the system tablespace, specify innodb_system as the tablespace name.

ALTER TABLE tbl_name TABLESPACE [=] innodb_system;

To move a table from the system tablespace or a general tablespace to a file-per-table tablespace, specify innodb_file_per_table as the tablespace name.

ALTER TABLE tbl_name TABLESPACE [=] innodb_file_per_table;

ALTER TABLE ... TABLESPACE operations always cause a full table rebuild, even if the TABLESPACE attribute has not changed from its previous value.

ALTER TABLE ... TABLESPACE syntax does not support moving a table from a temporary tablespace to a persistent tablespace.

The DATA DIRECTORY clause is permitted with CREATE TABLE ... TABLESPACE=innodb_file_per_table but is otherwise not supported for use in combination with the TABLESPACE option.

Restrictions apply when moving tables from encrypted tablespaces. See Encryption Limitations.

The DROP TABLESPACE statement is used to drop an InnoDB general tablespace.

All tables must be dropped from the tablespace prior to a DROP TABLESPACE operation. If the tablespace is not empty, DROP TABLESPACE returns an error.

Use a query similar to the following to identify tables in a general tablespace.

mysql> SELECT a.NAME AS space_name, b.NAME AS table_name FROM INFORMATION_SCHEMA.INNODB_TABLESPACES a, 
       INFORMATION_SCHEMA.INNODB_TABLES b WHERE a.SPACE=b.SPACE AND a.NAME LIKE 'ts1';
+------------+------------+
| space_name | table_name |
+------------+------------+
| ts1        | test/t1    |
| ts1        | test/t2    |
| ts1        | test/t3    |
+------------+------------+

If a DROP TABLESPACE operation on an empty general tablespace returns an error, the tablespace may contain an orphan temporary or intermediate table that was left by an ALTER TABLE operation that was interrupted by a server exit. For more information, see Section 14.22.3, “Troubleshooting InnoDB Data Dictionary Operations”.

A general InnoDB tablespace is not deleted automatically when the last table in the tablespace is dropped. The tablespace must be dropped explicitly using DROP TABLESPACE tablespace_name.

A general tablespace does not belong to any particular database. A DROP DATABASE operation can drop tables that belong to a general tablespace but it cannot drop the tablespace, even if the DROP DATABASE operation drops all tables that belong to the tablespace. A general tablespace must be dropped explicitly using DROP TABLESPACE tablespace_name.

Similar to the system tablespace, truncating or dropping tables stored in a general tablespace creates free space internally in the general tablespace .ibd data file which can only be used for new InnoDB data. Space is not released back to the operating system as it is when a file-per-table tablespace is deleted during a DROP TABLE operation.

This example demonstrates how to drop an InnoDB general tablespace. The general tablespace ts1 is created with a single table. The table must be dropped before dropping the tablespace.

mysql> CREATE TABLESPACE `ts1` ADD DATAFILE 'ts1.ibd' Engine=InnoDB;

mysql> CREATE TABLE t1 (c1 INT PRIMARY KEY) TABLESPACE ts1 Engine=InnoDB;

mysql> DROP TABLE t1;

mysql> DROP TABLESPACE ts1;

To configure undo tablespaces for a MySQL instance, perform the following steps. It is assumed that you are performing the procedure on a test instance prior to deploying the configuration to a production system.

Truncating undo tablespaces requires that the MySQL instance have a minimum of two active undo tablespaces, which ensures that one undo tablespace remains active while the other is taken offline to be truncated. The number of undo tablespaces is defined by the innodb_undo_tablespaces variable. The default value is 0. Use this statement to check the value of innodb_undo_tablespaces:

mysql> SELECT @@innodb_undo_tablespaces;
+---------------------------+
| @@innodb_undo_tablespaces |
+---------------------------+
|                         2 |
+---------------------------+

To have undo tablespaces truncated, enable the innodb_undo_log_truncate variable. For example:

mysql> SET GLOBAL innodb_undo_log_truncate=ON;

When the innodb_undo_log_truncate variable is enabled, undo tablespaces that exceed the size limit defined by the innodb_max_undo_log_size variable are subject to truncation. The innodb_max_undo_log_size variable is dynamic and has a default value of 1073741824 bytes (1024 MiB).

mysql> SELECT @@innodb_max_undo_log_size;
+----------------------------+
| @@innodb_max_undo_log_size |
+----------------------------+
|                 1073741824 |
+----------------------------+

When the innodb_undo_log_truncate variable is enabled:

Expediting Truncation of Undo Tablespaces

The purge thread is responsible for emptying and truncating undo tablespaces. By default, the purge thread looks for undo tablespaces to truncate once every 128 times that purge is invoked. The frequency with which the purge thread looks for undo tablespaces to truncate is controlled by the innodb_purge_rseg_truncate_frequency variable, which has a default setting of 128.

mysql> SELECT @@innodb_purge_rseg_truncate_frequency;
+----------------------------------------+
| @@innodb_purge_rseg_truncate_frequency |
+----------------------------------------+
|                                    128 |
+----------------------------------------+

To increase that frequency, decrease the innodb_purge_rseg_truncate_frequency setting. For example, to have the purge thread look for undo tabespaces once every 32 timees that purge is invoked, set innodb_purge_rseg_truncate_frequency to 32.

mysql> SET GLOBAL innodb_purge_rseg_truncate_frequency=32;

When the purge thread finds an undo tablespace that requires truncation, the purge thread returns with increased frequency to quickly empty and truncate the undo tablespace.

Performance Impact of Truncating Undo Tablespace Files

When an undo tablespace is truncated, the rollback segments in the undo tablespace are deactivated. The active rollback segments in other undo tablespaces assume responsibility for the entire system load, which may result in a slight performance degradation. The amount of performance degradation depends on a number of factors:

The easiest way to avoid impacting performance when truncating undo tablespaces is to increase the number of undo tablespaces.

By default, the temporary tablespace data file is autoextending and increases in size as necessary to accommodate on-disk temporary tables. For example, if an operation creates a temporary table that is 20MB in size, the temporary tablespace data file, which is 12MB in size by default when created, extends in size to accommodate it. When temporary tables are dropped, freed space can be reused for new temporary tables, but the data file remains at the extended size.

An autoextending temporary tablespace data file can become large in environments that use large temporary tables or that use temporary tables extensively. A large data file can also result from long running queries that use temporary tables.

To determine if a temporary tablespace data file is autoextending, check the innodb_temp_data_file_path setting:

mysql> SELECT @@innodb_temp_data_file_path;
+------------------------------+
| @@innodb_temp_data_file_path |
+------------------------------+
| ibtmp1:12M:autoextend        |
+------------------------------+

To check the size of temporary tablespace data files, query the INFORMATION_SCHEMA.FILES table using a query similar to this:

mysql> SELECT FILE_NAME, TABLESPACE_NAME, ENGINE, INITIAL_SIZE, TOTAL_EXTENTS*EXTENT_SIZE 
       AS TotalSizeBytes, DATA_FREE, MAXIMUM_SIZE FROM INFORMATION_SCHEMA.FILES 
       WHERE TABLESPACE_NAME = 'innodb_temporary'\G
*************************** 1. row ***************************
      FILE_NAME: ./ibtmp1
TABLESPACE_NAME: innodb_temporary
         ENGINE: InnoDB
   INITIAL_SIZE: 12582912
 TotalSizeBytes: 12582912
      DATA_FREE: 6291456
   MAXIMUM_SIZE: NULL

The TotalSizeBytes value reports the current size of the temporary tablespace data file. For information about other field values, see Section 24.9, “The INFORMATION_SCHEMA FILES Table”.

Alternatively, check the temporary tablespace data file size on your operating system. By default, the temporary tablespace data file is located in the directory defined by the innodb_temp_data_file_path configuration option. If a value was not specified for this option explicitly, a temporary tablespace data file named ibtmp1 is created in innodb_data_home_dir, which defaults to the MySQL data directory if unspecified.

To reclaim disk space occupied by a temporary tablespace data file, restart the MySQL server. Restarting the server removes and recreates the temporary tablespace data file according to the attributes defined by innodb_temp_data_file_path.

To prevent the temporary data file from becoming too large, you can configure the innodb_temp_data_file_path option to specify a maximum file size. For example:

[mysqld]
innodb_temp_data_file_path=ibtmp1:12M:autoextend:max:500M

When the data file reaches the maximum size, queries fail with an error indicating that the table is full. Configuring innodb_temp_data_file_path requires restarting the server.

Alternatively, configure the default_tmp_storage_engine and internal_tmp_disk_storage_engine options, which define the storage engine to use for user-created and on-disk internal temporary tables, respectively. Both options are set to InnoDB by default. The MyISAM storage engine uses an individual file for each temporary table, which is removed when the temporary table is dropped.

By default, connection to the MySQL server begins with autocommit mode enabled, which automatically commits every SQL statement as you execute it. This mode of operation might be unfamiliar if you have experience with other database systems, where it is standard practice to issue a sequence of DML statements and commit them or roll them back all together.

To use multiple-statement transactions, switch autocommit off with the SQL statement SET autocommit = 0 and end each transaction with COMMIT or ROLLBACK as appropriate. To leave autocommit on, begin each transaction with START TRANSACTION and end it with COMMIT or ROLLBACK. The following example shows two transactions. The first is committed; the second is rolled back.

shell> mysql test

mysql> CREATE TABLE customer (a INT, b CHAR (20), INDEX (a));
Query OK, 0 rows affected (0.00 sec)
mysql> -- Do a transaction with autocommit turned on.
mysql> START TRANSACTION;
Query OK, 0 rows affected (0.00 sec)
mysql> INSERT INTO customer VALUES (10, 'Heikki');
Query OK, 1 row affected (0.00 sec)
mysql> COMMIT;
Query OK, 0 rows affected (0.00 sec)
mysql> -- Do another transaction with autocommit turned off.
mysql> SET autocommit=0;
Query OK, 0 rows affected (0.00 sec)
mysql> INSERT INTO customer VALUES (15, 'John');
Query OK, 1 row affected (0.00 sec)
mysql> INSERT INTO customer VALUES (20, 'Paul');
Query OK, 1 row affected (0.00 sec)
mysql> DELETE FROM customer WHERE b = 'Heikki';
Query OK, 1 row affected (0.00 sec)
mysql> -- Now we undo those last 2 inserts and the delete.
mysql> ROLLBACK;
Query OK, 0 rows affected (0.00 sec)
mysql> SELECT * FROM customer;
+------+--------+
| a    | b      |
+------+--------+
|   10 | Heikki |
+------+--------+
1 row in set (0.00 sec)
mysql>

Transactions in Client-Side Languages

In APIs such as PHP, Perl DBI, JDBC, ODBC, or the standard C call interface of MySQL, you can send transaction control statements such as COMMIT to the MySQL server as strings just like any other SQL statements such as SELECT or INSERT. Some APIs also offer separate special transaction commit and rollback functions or methods.

Suppose that you want to insert a new row into a table child, and make sure that the child row has a parent row in table parent. Your application code can ensure referential integrity throughout this sequence of operations.

First, use a consistent read to query the table PARENT and verify that the parent row exists. Can you safely insert the child row to table CHILD? No, because some other session could delete the parent row in the moment between your SELECT and your INSERT, without you being aware of it.

To avoid this potential issue, perform the SELECT using LOCK IN SHARE MODE:

SELECT * FROM parent WHERE NAME = 'Jones' LOCK IN SHARE MODE;

After the LOCK IN SHARE MODE query returns the parent 'Jones', you can safely add the child record to the CHILD table and commit the transaction. Any transaction that tries to acquire an exclusive lock in the applicable row in the PARENT table waits until you are finished, that is, until the data in all tables is in a consistent state.

For another example, consider an integer counter field in a table CHILD_CODES, used to assign a unique identifier to each child added to table CHILD. Do not use either consistent read or a shared mode read to read the present value of the counter, because two users of the database could see the same value for the counter, and a duplicate-key error occurs if two transactions attempt to add rows with the same identifier to the CHILD table.

Here, LOCK IN SHARE MODE is not a good solution because if two users read the counter at the same time, at least one of them ends up in deadlock when it attempts to update the counter.

To implement reading and incrementing the counter, first perform a locking read of the counter using FOR UPDATE, and then increment the counter. For example:

SELECT counter_field FROM child_codes FOR UPDATE;
UPDATE child_codes SET counter_field = counter_field + 1;

A SELECT ... FOR UPDATE reads the latest available data, setting exclusive locks on each row it reads. Thus, it sets the same locks a searched SQL UPDATE would set on the rows.

The preceding description is merely an example of how SELECT ... FOR UPDATE works. In MySQL, the specific task of generating a unique identifier actually can be accomplished using only a single access to the table:

UPDATE child_codes SET counter_field = LAST_INSERT_ID(counter_field + 1);
SELECT LAST_INSERT_ID();

The SELECT statement merely retrieves the identifier information (specific to the current connection). It does not access any table.

On high concurrency systems, deadlock detection can cause a slowdown when numerous threads wait for the same lock. At times, it may be more efficient to disable deadlock detection and rely on the innodb_lock_wait_timeout setting for transaction rollback when a deadlock occurs. Deadlock detection can be disabled using the innodb_deadlock_detect configuration option.

innodb_buffer_pool_chunk_size can be increased or decreased in 1MB (1048576 byte) units but can only be modified at startup, in a command line string or in a MySQL configuration file.

Command line:

shell> mysqld --innodb-buffer-pool-chunk-size=134217728

Configuration file:

[mysqld]
innodb_buffer_pool_chunk_size=134217728

The following conditions apply when altering innodb_buffer_pool_chunk_size:

The innodb_buffer_pool_size configuration option can be set dynamically using a SET statement, allowing you to resize the buffer pool without restarting the server. For example:

mysql> SET GLOBAL innodb_buffer_pool_size=402653184;

Active transactions and operations performed through InnoDB APIs should be completed before resizing the buffer pool. When initiating a resizing operation, the operation does not start until all active transactions are completed. Once the resizing operation is in progress, new transactions and operations that require access to the buffer pool must wait until the resizing operation finishes. The exception to the rule is that concurrent access to the buffer pool is permitted while the buffer pool is defragmented and pages are withdrawn when buffer pool size is decreased. A drawback of allowing concurrent access is that it could result in a temporary shortage of available pages while pages are being withdrawn.

The Innodb_buffer_pool_resize_status reports buffer pool resizing progress. For example:

mysql> SHOW STATUS WHERE Variable_name='InnoDB_buffer_pool_resize_status';
+----------------------------------+----------------------------------+
| Variable_name                    | Value                            |
+----------------------------------+----------------------------------+
| Innodb_buffer_pool_resize_status | Resizing also other hash tables. |
+----------------------------------+----------------------------------+

Buffer pool resizing progress is also logged in the server error log. This example shows notes that are logged when increasing the size of the buffer pool:

[Note] InnoDB: Resizing buffer pool from 134217728 to 4294967296. (unit=134217728)
[Note] InnoDB: disabled adaptive hash index.
[Note] InnoDB: buffer pool 0 : 31 chunks (253952 blocks) was added.
[Note] InnoDB: buffer pool 0 : hash tables were resized.
[Note] InnoDB: Resized hash tables at lock_sys, adaptive hash index, dictionary.
[Note] InnoDB: completed to resize buffer pool from 134217728 to 4294967296.
[Note] InnoDB: re-enabled adaptive hash index.

This example shows notes that are logged when decreasing the size of the buffer pool:

[Note] InnoDB: Resizing buffer pool from 4294967296 to 134217728. (unit=134217728)
[Note] InnoDB: disabled adaptive hash index.
[Note] InnoDB: buffer pool 0 : start to withdraw the last 253952 blocks.
[Note] InnoDB: buffer pool 0 : withdrew 253952 blocks from free list. tried to relocate 0 pages.
(253952/253952)
[Note] InnoDB: buffer pool 0 : withdrawn target 253952 blocks.
[Note] InnoDB: buffer pool 0 : 31 chunks (253952 blocks) was freed.
[Note] InnoDB: buffer pool 0 : hash tables were resized.
[Note] InnoDB: Resized hash tables at lock_sys, adaptive hash index, dictionary.
[Note] InnoDB: completed to resize buffer pool from 4294967296 to 134217728.
[Note] InnoDB: re-enabled adaptive hash index.

The resizing operation is performed by a background thread. When increasing the size of the buffer pool, the resizing operation:

While these operations are in progress, other threads are blocked from accessing the buffer pool.

When decreasing the size of the buffer pool, the resizing operation:

Of these operations, only defragmenting the buffer pool and withdrawing pages allow other threads to access to the buffer pool concurrently.