Table of Contents
Replication enables data from one MySQL database server (the master) to be replicated to one or more MySQL database servers (the slaves). Replication is asynchronous by default, therefore slaves do not need to be connected permanently to receive updates from the master. This means that updates can occur over long-distance connections and even over temporary or intermittent connections such as a dial-up service. Depending on the configuration, you can replicate all databases, selected databases, or even selected tables within a database.
For answers to some questions often asked by those who are new to MySQL Replication, see Section A.14, “MySQL 5.6 FAQ: Replication”.
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 - if a branch office would like to work with a copy of your main data, you can use replication to create a local copy of the data for their use without requiring permanent access to the master.
Replication in MySQL features support for 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 18, MySQL NDB Cluster 7.3 and NDB Cluster 7.4). In MySQL 5.6, an interface to 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 17.3.9, “Semisynchronous Replication” MySQL 5.6 also supports delayed replication such that a slave server deliberately lags behind the master by at least a specified amount of time. See Section 17.3.10, “Delayed Replication”. For scenarios where synchronous replication is required, use NDB Cluster (see Chapter 18, MySQL NDB Cluster 7.3 and NDB Cluster 7.4).
There are a number of solutions available for setting up replication between two servers, but 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 17.1.1, “How to Set Up 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 may also use a third variety, Mixed Based Replication (MBR). For more information on the different replication formats, see Section 17.1.2, “Replication Formats”. In MySQL 5.6, statement-based format is the default.
MySQL 5.6.5 and later supports transactional replication based on global transaction identifiers (GTIDs). When using this type of replication, it is not necessary to work directly with log files or positions within these files, which greatly simplifies many common replication tasks. Because replication using GTIDs is entirely transactional, consistency between master and slave is guaranteed 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, see Section 17.1.3, “Replication with Global Transaction Identifiers”.
Replication is controlled through a number of different options and variables. These control the core operation of the replication, timeouts, and the databases and filters that can be applied on databases and tables. For more information on the available options, see Section 17.1.4, “Replication and Binary Logging Options and Variables”.
You can use replication to solve a number of different problems, including problems with 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 17.3, “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 problems and their resolution, including an FAQ, see Section 17.4, “Replication Notes and Tips”.
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 replication, see Section 17.2, “Replication Implementation”.
Replication between servers in MySQL is based on the binary logging mechanism. 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.
You cannot configure the master to log only certain events.
The master is “dumb” in this scenario. Once binary logging has been enabled, all statements are recorded in the binary log. 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; you cannot configure the master to log only certain events. If you do not 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.
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 17.2.2, “Replication Relay and Status Logs”).
This section describes 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, Section 17.1.1, “How to Set Up Replication”, deals with the configuration of the systems and provides methods for copying data between the master and slaves.
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 17.1.2, “Replication Formats”.
Detailed information on the different configuration options and variables that apply to replication is provided in Section 17.1.4, “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 17.1.5, “Common Replication Administration Tasks”.
This section describes how to set up complete replication of a MySQL server. 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 replication setups:
On the master, you must enable binary logging and configure a unique server ID. This might require a server restart. See Section 17.1.1.1, “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 17.1.1.2, “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 17.1.1.3, “Creating a User for Replication”.
Before creating a data snapshot or starting the replication process, you should record the position of the binary log on the master. You will need this information when configuring the slave so that the slave knows where within the binary log to start executing events. See Section 17.1.1.4, “Obtaining the Replication Master Binary Log Coordinates”.
If you already have data on your master and want to use it to synchronize your slave, you need to create a data snapshot. There are different methods to create the database snapshot, depending on the size of the database and the location of the files. Create a snapshot using mysqldump (see Section 17.1.1.5, “Creating a Data Snapshot Using mysqldump”) or by copying the data files directly (see Section 17.1.1.6, “Creating a Data Snapshot Using Raw Data Files”).
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 17.1.1.10, “Setting the Master Configuration on the Slave”.
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 17.1.1.7, “Setting Up Replication with New Master and Slaves”.
To set up replication of a new master using the data from an existing MySQL server, see Section 17.1.1.8, “Setting Up Replication with Existing Data”.
To add replication slaves to an existing replication environment, see Section 17.1.1.9, “Introducing Additional Slaves to an Existing 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 17.1.4, “Replication and Binary Logging Options and Variables”.
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.
On a replication master, 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 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.
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 can not communicate
with the master and replication fails.
On a replication slave, you must establish 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.
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. 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 17.2.2.2, “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 have existing data on your master that you want to synchronize on your slaves before starting the replication process, you must stop processing statements on the master, and 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 that you use will not match and you will end up with inconsistent or corrupted databases on the slaves.
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 Position
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 will be 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.
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 and then proceed to Section 17.1.1.5, “Creating a Data Snapshot Using mysqldump”, or Section 17.1.1.6, “Creating a Data Snapshot Using Raw Data Files”. The idea here is to prevent any further changes so that the data copied to the slaves is in synchrony with the master.
If you are setting up a brand new master and slave replication group, you can exit the first session to release the read lock.
One way to create a snapshot of the data in an existing master database is to use the mysqldump tool to create a dump of all the databases you want to replicate. Once the data dump has been completed, you then import this data into the slave before starting the replication process.
The example shown here 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
(using FLUSH TABLES WITH READ
LOCK
) prior to running mysqldump,
then exiting or running UNLOCK TABLES from the second session to
release the locks. You must also obtain binary log position
information matching the snapshot, using
SHOW MASTER STATUS
, and use this
to issue the appropriate CHANGE MASTER
TO
statement when starting the slave.
When choosing databases to include in the dump, remember that you need to filter out databases on each slave that you do not want to include in the replication process.
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.
If your database is large, copying the raw data files can be
more efficient than using mysqldump and
importing the file on each slave. This technique skips the
overhead of updating indexes as the INSERT
statements are replayed.
Using this method with tables in storage engines with complex caching or logging algorithms requires extra steps to produce a perfect “point in time” snapshot: the initial copy command might 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.
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.
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 later used on the slave. MySQL Enterprise
Backup is a commercial product that is included as part of a
MySQL Enterprise subscription. See
Section 25.2, “MySQL Enterprise Backup Overview” for detailed
information.
Otherwise, use the cold
backup technique to obtain a reliable binary snapshot of
InnoDB
tables: copy all data files after
doing a slow shutdown
of the MySQL Server.
To create a raw data snapshot of MyISAM
tables, you can use standard 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, providing that your MySQL data files
exist on a single file system. 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.)
You might want to specifically exclude the following files from your archive:
Files relating to the mysql
database.
The master info repository file, if used (see Section 17.2.2, “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.
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 17.1.1.4, “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 17.1.1.4, “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 easiest and most straightforward method for setting up replication is to use new master and slave servers.
You can also use this method 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 will be automatically replicated to the slaves.
To set up replication between a new master and slave:
Configure the MySQL master with the necessary configuration properties. See Section 17.1.1.1, “Setting the Replication Master Configuration”.
Start up the MySQL master.
Set up a user. See Section 17.1.1.3, “Creating a User for Replication”.
Obtain 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 17.1.1.4, “Obtaining the Replication Master Binary Log Coordinates”.
On the master, release the read lock:
mysql> UNLOCK TABLES;
On the slave, edit the MySQL configuration. See Section 17.1.1.2, “Setting the Replication Slave Configuration”.
Start up the MySQL slave.
Execute a CHANGE MASTER TO
statement to set the master replication server
configuration. See
Section 17.1.1.10, “Setting the Master Configuration on the Slave”.
Perform the slave setup steps on each slave.
Because there is no data to load or exchange on a new server configuration you do not need to copy or import any information.
If you are setting up a new replication environment using the data from a different existing database server, you will now need to run the dump file generated from that server on the new master. The database updates will automatically be propagated to the slaves:
shell> mysql -h master < fulldb.dump
When setting up replication with existing data, you will need to decide how best to get the data from the master to the slave before starting the replication service.
The basic process for setting up replication with existing data is as follows:
With the MySQL master running, create a user to be used by the slave when connecting to the master during replication. See Section 17.1.1.3, “Creating a User for Replication”.
If you have not already configured the
server_id
system variable
and enabled binary logging on the master server, you will
need to shut it down to configure these options. See
Section 17.1.1.1, “Setting the Replication Master Configuration”.
If you have to shut down your master server, this is a good opportunity to take a snapshot of its databases. You should obtain the master status (see Section 17.1.1.4, “Obtaining the Replication Master Binary Log Coordinates”) before taking down the master, updating the configuration and taking a snapshot. For information on how to create a snapshot using raw data files, see Section 17.1.1.6, “Creating a Data Snapshot Using Raw Data Files”.
If your master server is already correctly configured, obtain its status (see Section 17.1.1.4, “Obtaining the Replication Master Binary Log Coordinates”) and then use mysqldump to take a snapshot (see Section 17.1.1.5, “Creating a Data Snapshot Using mysqldump”) or take a raw snapshot of the live server using the guide in Section 17.1.1.6, “Creating a Data Snapshot Using Raw Data Files”.
Update the configuration of the slave. See Section 17.1.1.2, “Setting the Replication Slave Configuration”.
The next step depends on how you created the snapshot of data on the master.
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 17.1.1.10, “Setting the Master Configuration on the Slave”.
Start the slave threads:
mysql> START SLAVE;
After you have performed this procedure, the slave should connect to the master and catch up on any updates that have occurred since the snapshot was taken.
If you have forgotten to set the
server_id
system variable for
the master, slaves cannot connect to it.
If you have forgotten to set the
server_id
system variable 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 uses information stored in its master info repository
to keep track of how much of the master's binary log it has
processed. The 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
,
you can find in its data directory two files, named
master.info
and
relay-log.info
. If
master_info_repository=TABLE
instead, this information is saved in the table
master_slave_info
in the
mysql
system database. In either case, do
not remove or edit the files or table
unless you know exactly what you are doing and fully understand
the implications. Even in that case, it is preferred that you
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 17.2.2, “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 17.1.4, “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 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 17.2.2, “Replication Relay and Status Logs”), which is the default in MySQL 5.6, 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 17.1.4, “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. 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.
To set up the slave to communicate with the master for replication, you must tell the slave 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”.
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 (often abbreviated as SBR), which corresponds to the standard MySQL statement-based binary logging format. Replication capabilities in MySQL version 5.1.4 and earlier used this format exclusively.
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 (often abbreviated as RBR). In row-based replication, the master writes events to the binary log that indicate how individual table rows are changed.
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 often referred to as mixed-based replication or mixed-format replication. For more information, see Section 5.4.4.3, “Mixed Binary Logging Format”.
In MySQL 5.6, statement-based format is the default.
NDB Cluster.
The default binary logging format in all MySQL NDB Cluster 7.3
and MySQL NDB Cluster 7.4 releases 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 18.6.2, “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 17.1.2.1, “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 20.7, “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 DML
(Data Modification Language) 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 17.4.1.16, “Replication of Invoked Features”, for more information.
DELETE
and
UPDATE
statements that
use a LIMIT
clause without an
ORDER BY
are nondeterministic. See
Section 17.4.1.17, “Replication and LIMIT”.
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 17.4.1.15, “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 17.4.1.27, “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 17.4.1.9, “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
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.
The technology is the same as in most other database management systems; knowledge about other systems transfers to MySQL.
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 taking and
restoring from 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 added in MySQL 5.6.2, 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 discusses some best practices using it in replication.
For additional information, see Section 17.1.2, “Replication Formats”, and Section 17.1.2.1, “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 18.6.3, “Known Issues in NDB Cluster Replication”.
Row-based logging of temporary tables. As noted in Section 17.4.1.29, “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 17.1.2.1, “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.
In MySQL 5.6, you can switch from
statement-based to row-based binary logging mode even when
temporary tables have been created. However, while using the
row-based format, the MySQL server cannot determine the
logging mode that was in effect when a given temporary table
was created. For this reason, the server in such cases logs
a DROP TEMPORARY
TABLE IF EXISTS
statement for each temporary table
that still exists for a given client session when that
session ends. While this means that it is possible that an
unnecessary DROP TEMPORARY TABLE
statement might be logged in some cases, the statement is
harmless, and does not cause an error even if the table does
not exist, due to the presence of the IF
EXISTS
option.
From MySQL 8.0, this behavior is changed because the MySQL
server tracks the logging mode that was in effect when
each temporary table was created. The
DROP TEMPORARY
TABLE IF EXISTS
statement is therefore not
necessarily logged for each temporary table. From that
release, 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.
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. (This may or may not be effective, depending on the engine used for the slave's copy of the table.)
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 4.6.8.2, “mysqlbinlog Row Event Display”.
Binary log execution errors and slave_exec_mode.
If 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”.
slave_exec_mode=IDEMPOTENT
is generally useful only for circular replication or
multi-master replication with NDB Cluster, for which
IDEMPOTENT
is the default value.
For other scenarios, setting
slave_exec_mode
to
STRICT
is normally sufficient; this is
the default value.
Formerly, the default value when using NDB Cluster was
slave_exec_mode=IDEMPOTENT
, but this is
no longer the case in MySQL NDB Cluster 7.3 and later.
Filtering based on server ID not supported.
In MySQL 5.6, 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 17.1.4, “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 17.4.1.12, “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 provides a warning suppression mechanism
(introduced in MySQL 5.6.7), 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 17.1.2, “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 17.4.1.15, “Replication and System Functions”.
References to system variables. Most system variables are not replicated correctly using the statement-based format. See Section 17.4.1.35, “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.
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 17.4.1.1, “Replication and AUTO_INCREMENT”.
INSERT DELAYED statement. This statement is considered unsafe because the insertion of the rows may interleave with concurrently executing statements.
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 beginning with
MySQL 5.6.6. (Bug #11765650, Bug #58637)
Updates using LIMIT. The order in which rows are retrieved is not specified, and is therefore considered unsafe. See Section 17.4.1.17, “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 17.4.1.32, “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.
For additional information, see Section 17.4.1, “Replication Features and Issues”.
This section explains transaction-based replication using global transaction identifiers (GTIDs), introduced in MySQL 5.6.5. 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 17.1.2, “Replication Formats”); however, for best results, we recommend that you use the row-based format.
This section discusses the following topics:
How GTIDs are defined and created, and how they are represented in the MySQL Server (see Section 17.1.3.1, “GTID Concepts”).
A general procedure for setting up and starting GTID-based replication (see Section 17.1.3.2, “Setting Up Replication Using GTIDs”).
Suggested methods for provisioning new replication servers when using GTIDs (see Section 17.1.3.3, “Using GTIDs for Failover and Scaleout”).
Restrictions and limitations that you should be aware of when using GTID-based replication (see Section 17.1.3.4, “Restrictions on Replication with GTIDs”).
A procedure for disabling GTIDs, which you must do if you have enabled GTIDs and are downgrading to a MySQL release that does not support GTIDs (see Section 17.1.3.5, “Disabling GTID Transactions”).
For information about MySQL Server options and variables relating to GTID-based replication, see Section 17.1.4.5, “Global Transaction ID Options and Variables”. See also Section 12.17, “Functions Used with Global Transaction IDs”, which describes SQL functions supported by MySQL 5.6 for use with GTIDs.
GTIDs are not compatible or supported with the
NDB
storage engine used by NDB
Cluster. Enabling GTIDs in NDB Cluster is very likely to cause
problems with NDB
, and to cause NDB Cluster
Replication to fail as well.
A global transaction identifier (GTID) is a unique identifier created and associated with each transaction committed on the server of origin (master). This identifier is unique not only to the server on which it originated, but is unique across all servers in a given replication setup. There is a 1-to-1 mapping between all transactions and all GTIDs.
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 server'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 this server; 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
This format is used to represent GTIDs in the output of
statements such as SHOW SLAVE
STATUS
as well as in the binary log. They can also be
seen when viewing the log file with
mysqlbinlog
--base64-output=DECODE-ROWS
or in the output from SHOW BINLOG
EVENTS
.
As written in the output of statements such as
SHOW MASTER STATUS
or
SHOW SLAVE STATUS
, a sequence of GTIDs
originating from the same server may be collapsed into a single
expression, as shown here.
3E11FA47-71CA-11E1-9E33-C80AA9429562:1-5
The example just shown represents the first through fifth
transactions originating on the MySQL Server whose
server_uuid
is
3E11FA47-71CA-11E1-9E33-C80AA9429562
.
In MySQL 5.6.6 and later, this format is also used to supply the
argument required by the START
SLAVE
options SQL_BEFORE_GTIDS
and
SQL_AFTER_GTIDS
.
A GTID set is a set of global transaction identifiers which is represented as shown here:
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)
GTID sets are used in the MySQL Server in several ways. For
example, the values stored by the
gtid_executed
and
gtid_purged
system variables
are represented as GTID sets. In addition, the functions
GTID_SUBSET()
and
GTID_SUBTRACT()
require GTID
sets as input.
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.
When GTIDs are in use, the slave has no need for any nonlocal
data, such as the name of a file on the master and a position
within that file. All necessary information for synchronizing
with the master is obtained directly from the replication data
stream. From the perspective of the database administrator or
developer, GTIDs entirely take the place of the file-offset
pairs previously required to determine points for starting,
stopping, or resuming the flow of data between master and
slave. This means that, when you are using GTIDs for
replication, you do not need (or want) to include
MASTER_LOG_FILE
or
MASTER_LOG_POS
options in the
CHANGE MASTER TO
statement used
to direct a slave to replicate from a given master; in place
of these options, it is necessary only to enable the
MASTER_AUTO_POSITION
option introduced in
MySQL 5.6.5. For the exact steps needed to configure and start
masters and slaves using GTID-based replication, see
Section 17.1.3.2, “Setting Up Replication Using GTIDs”.
The generation and lifecycle of a GTID consists of the following steps:
A transaction is executed and committed on the master.
This transaction is assigned a GTID using 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).
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 17.2, “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.
The slave sets gtid_next
in a session
context.
The slave checks to make sure that this GTID has not already been used to log a transaction in its own binary log. If and only if this GTID has not been used, the slave then writes the GTID and applies the transaction (and writes the transaction to its binary log). By reading and checking the 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. In other words, multiple clients are not permitted to apply the same transaction concurrently.
Because gtid_next
is not
empty, the slave does not attempt to generate a GTID for
this transaction but instead writes the GTID stored in
this variable—that is, the GTID obtained from the
master—immediately preceding the transaction in its
binary log.
This section describes a process for configuring and starting GTID-based replication in MySQL 5.6. 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 17.1.3.3, “Using GTIDs for Failover and Scaleout”.
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, binary logging, and slave update logging enabled, and with statements that are unsafe for GTID-based replication disabled. In addition, the servers should be started in read-only mode, and the slave SQL and I/O threads should be prevented from starting on the slave.
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 again 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 “classic” file-based replication protocol.
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.
Make the servers read-only. To do this, enable the
read_only
system variable by
executing the following statement on both servers:
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: Restart both servers with GTIDs enabled. To enable binary logging with global transaction identifiers, each server must be started with GTID mode, binary logging, slave update logging enabled, and with statements that are unsafe for GTID-based replication disabled. In addition, you should prevent unwanted or accidental updates from being performed on either server by starting both in read-only mode. This means that both servers must be started with (at least) the options shown in the following invocation of mysqld_safe:
shell> mysqld_safe --gtid_mode=ON --log-bin --log-slave-updates --enforce-gtid-consistency &
In addition, you should start the slave with the
--skip-slave-start
option along
with the other server options specified in the example just
shown.
gtid_mode
is not a boolean,
but an enumeration. Use one of the values
ON
or OFF
only, when
setting this option. Using a numeric value such as 0 or 1 can
lead to unexpected results.
For more information about the
gtid_mode
and
enforce_gtid_consistency
system
variables, see Section 17.1.4.5, “Global Transaction ID Options and Variables”.
Depending on your configuration, supply additional options to mysqld_safe or other mysqld startup script.
Step 4: Direct the slave to use the master.
Tell the slave to use the master as the replication data
source, and to use GTID-based auto-positioning rather than
file-based positioning. Execute a CHANGE
MASTER TO
statement on the slave, using the
MASTER_AUTO_POSITION
option to tell the
slave that transactions will be 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;
Allow the master to begin accepting updates once again by running 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 17.1.3.3, “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) in MySQL 5.6.9 and later for provisioning a new slave which can then be used for scaleout, being promoted to master as necessary for failover. In this section, we discuss the four techniques listed here:
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. This is the easiest way to reproduce all identifiers and transactions on a new server; you simply 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 17.1.3.2, “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. Playing back the entire transaction history can be time-consuming, and represents 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 master contains is imported to the slave. The the binary log is played back, after which replication can be started, allowing the slave to become current with any remaining transactions.
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:
Data Set | Transaction History |
---|---|
|
If
|
See also Section 4.6.8.3, “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.
Prior to MySQL 5.6.9,
gtid_purged
was not settable.
(Bug #14797808)
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.
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.
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
is not safe for statement-based
replication. When using row-based replication, this statement
is actually logged as two separate events—one for the
creation of the table, and another for the insertion of rows
from the source table into the new table just created. When
this statement is executed within a transaction, it is
possible in some cases for these two events to receive the
same transaction identifier, which means that the transaction
containing the inserts is skipped by the slave. Therefore,
CREATE TABLE ... SELECT
is not supported
when using GTID-based replication.
Temporary tables.
CREATE TEMPORARY
TABLE
and
DROP TEMPORARY
TABLE
statements are not supported inside
transactions when using GTIDs (that is, when the server was
started with the
--enforce-gtid-consistency
option). 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.
In order 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.
For information about other required startup options when enabling GTIDs, see Section 17.1.3.2, “Setting Up Replication Using GTIDs”.
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.
GTID mode and mysqldump. In MySQL 5.6.9 and later, 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.
Prior to MySQL 5.6.9, mysqldump did not record global transaction IDs, and it was necessary to use the binary log and mysqlbinlog to restore GTIDs. (Bug #14797808, Bug #14832472)
GTID mode and mysql_upgrade.
Prior to MySQL 5.6.7, mysql_upgrade could
not connect to a MySQL Server that was running with global
transaction identifiers (GTIDs) enabled
(gtid_mode=ON
) unless
mysql_upgrade was run with
--write-binlog=OFF
.
Otherwise, mysqld had to be restarted with
gtid_mode=OFF
before running
mysql_upgrade, then restarted with
gtid_mode=ON
afterwards. In
MySQL 5.6.7 and later, where mysql_upgrade
runs with --write-binlog=OFF
by default. (Bug
#13833710). Do not enable this option when the server is
running with (gtid_mode=ON
).
If you have enabled GTIDs in MySQL 5.6 and want to downgrade to a MySQL release that does not support GTIDs, you must carry out this procedure to disable GTIDs before downgrading. In MySQL 5.6, you must take the servers offline in order to disable GTIDs.
On each slave, disable auto-positioning by running the following statements:
STOP SLAVE;
CHANGE MASTER TO MASTER_AUTO_POSITION = 0, MASTER_LOG_FILE = file, \
MASTER_LOG_POS = position;
START SLAVE;
On each server, stop updates by running the following statement:
SET @@GLOBAL.READ_ONLY = ON;
Wait for all ongoing transactions to commit or roll back. Then, wait for a safe period of time, depending on your deployment, for all transactions that currently exist in any binary log to replicate to all slaves. It is extremely important that you make sure all slaves have 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 GTID transactions. 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 GTID transactions cannot be used on servers where GTIDs are disabled. Before proceeding, you must be sure that GTID transactions do not exist anywhere in the topology.
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.
On each server, set
gtid_mode=OFF
and
enforce_gtid_consistency=OFF
in my.cnf
.
Restart each server in read-only mode, using
mysqld_safe or another
mysqld startup script, and specifying the
option --read_only=ON
on
the command line. Starting the servers in read-only mode
prevents unwanted or accidental updates from being performed
on any server.
Take a new backup at this point, so that you are not left
without a usable backup. Existing backups that were made
before you disabled GTIDs can no longer be used on these
servers now that you have disabled GTIDs. 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.
On each server, re-enable updates by running the following statement:
SET @@GLOBAL.READ_ONLY = OFF;
If you want to downgrade to an earlier version of MySQL, you can do so now, using the normal downgrade procedure.
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. 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.
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 17.1.4.2, “Replication Master Options and Variables”, and
Section 17.1.4.3, “Replication Slave Options and Variables”.
If you do not specify server_id
,
the default server ID is 0. 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.
In MySQL 5.6, whether the server ID is set to 0
explicitly or the default is allowed to be used, the server sets the
server_id
system variable to 1; this is a known
issue that is fixed in MySQL 5.7.
For more information, see Section 17.1.1.2, “Setting the Replication Slave Configuration”.
Beginning with MySQL 5.6, 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.
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 5.6, 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.
Also beginning with MySQL 5.6, when using MySQL replication, masters
and slaves know one another'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 (but
not before), 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 17.1.3, “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 addition of the server_uuid
system variable in MySQL 5.6 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.
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 17.1.4.2, “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 17.1.4.3, “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_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.
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_no_slave
:
Whether master waits for timeout even with no slaves.
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.
simplified_binlog_gtid_recovery
:
Renamed to binlog_gtid_simple_recovery.
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_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_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.
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 17.1.4.4, “Binary Log 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_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.
binlogging_impossible_mode
:
Deprecated and later removed. Use binlog_error_action instead.
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 17.1.4.4, “Binary Log 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.
These two variables 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 17.4.1.1, “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. 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_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 |
With semisynchronous replication, for each transaction, the master waits until timeout for acknowledgment of receipt from some semisynchronous slave. If no response occurs during this period, the master reverts to normal replication. This variable controls whether the master waits for the timeout to expire before reverting to normal replication even if the slave count drops to zero during the timeout period.
If the value is ON
(the default), it is
permissible for the slave count to drop to zero during the
timeout period (for example, if slaves disconnect). The
master still waits for the timeout, so as long as some slave
reconnects and acknowledges the transaction within the
timeout interval, semisynchronous replication continues.
If the value is OFF
, the master reverts
to normal replication if the slave count drops to zero
during the timeout period.
This variable is available only if the master-side semisynchronous replication plugin is installed.
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 | --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.
This option is used internally by the MySQL test suite for replication testing and debugging. It is not intended for use in a production setting.
--disconnect-slave-event-count
Property | Value |
---|---|
Command-Line Format | --disconnect-slave-event-count=# |
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 | --log-slow-slave-statements[={OFF|ON}] (5.6.10) |
Removed | 5.6.11 |
Type | Boolean |
Default Value | OFF |
This command-line option was removed in MySQL 5.6.11 and
replaced by the
log_slow_slave_statements
system variable. The system variable can be set on the
command line or in option files the same way as the option,
so there is no need for any changes at server startup, but
the system variable also makes it possible to examine or set
the value at runtime.
Property | Value |
---|---|
Command-Line Format | --log-warnings[=#] |
System Variable | log_warnings |
Scope | Global |
Dynamic | Yes |
Type | Integer |
Default Value | 1 |
Minimum Value | 0 |
Maximum Value (64-bit platforms) | 18446744073709551615 |
Maximum Value (32-bit platforms) | 4294967295 |
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 option
is enabled (1) by default; to disable it, use
--log-warnings=0
. If the
value is greater than 1, aborted connections are written to
the error log, and access-denied errors for new connection
attempts are written. See
Section B.4.2.11, “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 17.2.2.2, “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 connect to the
master before giving up. Reconnects are attempted at
intervals set by the MASTER_CONNECT_RETRY
option of the CHANGE MASTER
TO
statement (default 60). Reconnection attempts
are triggered when the slave reaches its connection timeout
(specified by the
slave_net_timeout
system
variable) without receiving data from the master. The
default value is 86400. A value of 0 means
“infinite”; the slave attempts to connect
forever.
This option is deprecated and will be removed in a future
MySQL release. Applications should be updated to 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 17.2.2.1, “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 |
The effects of this option depend on whether statement-based or row-based replication is in use.
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 17.2.3, “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 |
As with --replicate-do-db
,
the effects of this option depend on whether statement-based
or row-based replication is in use.
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 17.2.3, “How Servers Evaluate Replication Filtering Rules”.
If you need cross-database updates to work, use
--replicate-wild-ignore-table=
instead. See Section 17.2.3, “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 17.2.3, “How Servers Evaluate Replication Filtering Rules”.
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 17.2.3, “How Servers Evaluate Replication Filtering Rules”.
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.
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 17.2.3, “How Servers Evaluate Replication Filtering Rules”.
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.
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 17.2.3, “How Servers Evaluate Replication Filtering Rules”.
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. This gives you the opportunity to resolve the inconsistency in the data manually. This option tells 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.
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.
MySQL 5.6 as well as MySQL NDB Cluster 7.3 and
later support an additional shorthand value
ddl_exist_errors
, which is equivalent to
the error code list
1007,1008,1050,1051,1054,1060,1061,1068,1094,1146
.
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.
MySQL 5.6 and higher 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 17.1.4.3, “Replication Slave Options and Variables”.
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 17.2.2, “Replication Relay and Status Logs”.
The following options have been removed and replaced by the
functions of the CHANGE MASTER TO ...
statement (see Section 13.4.2.1, “CHANGE MASTER TO Statement”). If you
attempt to start mysqld with any of these
options in MySQL 5.6, the server aborts with an
unknown variable error.
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 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 13.4.2.5, “START SLAVE Statement”, for more
information.
Property | Value |
---|---|
Command-Line Format | --log-slow-slave-statements[={OFF|ON}] |
Introduced | 5.6.11 |
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
).
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.
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 17.2.1, “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 the relay log. The default base name is
.
host_name
-relay-bin
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. The default name is
in the data directory, where
host_name
-relay-bin.indexhost_name
is the name of the
slave server.
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. The default name is
relay-log.info
in the data directory.
For information about the format of this file, see
Section 17.2.2.2, “Slave Status Logs”.
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
).
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 descrption for further
information.
This option can be used to make a replication slave resilient to unexpected halts. See Section 17.3.2, “Handling an Unexpected Halt of a Replication Slave”, for more information.
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 17.3.2, “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 relay_log_recovery
is
enabled and the slave has stopped due to errors encountered
while running in multithreaded mode, you cannot execute
CHANGE MASTER TO
if there are
any gaps in the log. The solution in this situation is to
issue START
SLAVE UNTIL SQL_AFTER_MTS_GAPS
to ensure that all
gaps are processed before switching back to single-threaded
mode or executing a CHANGE MASTER TO
statement.
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 |
Introduced | 5.6.13 |
System Variable | rpl_stop_slave_timeout |
Scope | Global |
Dynamic | Yes |
Type | Integer |
Default Value | 31536000 |
Minimum Value | 2 |
Maximum Value | 31536000 |
In MySQL 5.6.13 and higher, 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.
Multithreaded slaves are not currently supported by NDB Cluster, which silently ignores the setting for this variable. See Section 18.6.3, “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.
Multithreaded slaves are not currently supported by NDB Cluster, which silently ignores the setting for this variable. See Section 18.6.3, “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. 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 18.6.10, “NDB Cluster Replication: Multi-Master and Circular Replication”,
and
Section 18.6.11, “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 5.6, 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
.
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 | 3600 |
Minimum Value | 1 |
The number of seconds to wait for more data from the master
before the slave considers the connection broken, aborts the
read, and tries to reconnect. 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.
The default is 3600 seconds (one hour).
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 worker threads for executing replication events (transactions) in parallel. Setting this variable to 0 (the default) disables parallel execution. The maximum is 1024.
Multithreaded slaves are not currently supported by NDB Cluster, which silently ignores the setting for this variable. See Section 18.6.3, “Known Issues in NDB Cluster Replication”, for more information.
When parallel execution is enabled, the slave SQL thread acts as the coordinator for the slave worker threads, among which transactions are distributed on a per-database basis. This means that a worker thread on the slave can process successive transactions on a given database without waiting for updates to other databases to complete. The current implementation of multithreading on the slave assumes that the data is partitioned per database, and that updates within a given database occur in the same relative order as they do on the master, in order to work correctly. However, transactions do not need to be coordinated between any two databases.
Due to the fact that transactions on different databases can
occur in a different order on the slave than on the master,
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
information about how to interpret binary logging
information when using multithreading on the slave, see
Section 13.7.5.35, “SHOW SLAVE STATUS Statement”. In addition, this means
that START
SLAVE UNTIL
is not supported with a multithreaded
slave.
When multithreading is enabled,
slave_transaction_retries
is treated as equal to 0, and cannot be changed. (Currently,
retrying of transactions is not supported with multithreaded
slaves.)
You should also note that enforcing foreign key relationships between tables in different databases causes multithreaded slaves to use sequential rather than parallel mode, which can have a negative impact on performance. (Bug #14092635)
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.
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-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—that is, whether or not hashing is used for searches using a primary or unique key, some other key, or using no key at all. Setting this variable takes effect for all replication channels immediately, including running channels. option.
Specify a comma-separated list of any 2 (or all 3) 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. Possible
combinations (lists) and their effects are shown in the
following table:
Index used / option value | INDEX_SCAN,HASH_SCAN or
INDEX_SCAN,TABLE_SCAN,HASH_SCAN |
INDEX_SCAN,TABLE_SCAN |
TABLE_SCAN,HASH_SCAN |
---|---|---|---|
Primary key or unique key | Index scan | Index scan | Hash scan over index |
(Other) Key | Hash scan over index | Index scan | Hash scan over index |
No index | Hash scan | Table scan | Hash scan |
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
(which is the same as that used in the table just shown
previously).
The default value is
TABLE_SCAN,INDEX_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 this option to
INDEX_SCAN,HASH_SCAN
. Specifying
INDEX_SCAN,TABLE_SCAN,HASH_SCAN
has
the same effect as specifying
INDEX_SCAN,HASH_SCAN
.
To force hashing for all searches,
set this option to
TABLE_SCAN,HASH_SCAN
.
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.
There is a performance advantage for
INDEX_SCAN
and
HASH_SCAN
only if the row events are
big enough. The size of row events is configured using
--binlog-row-event-max-size
. For
example, suppose a DELETE
statement which deletes 25,000 rows generates large
Delete_row_event
events. In this case
if
slave_rows_search_algorithms
is set to INDEX_SCAN
or
HASH_SCAN
there is a performance
improvement. However, if there are 25,000
DELETE
statements and each
is represented by a separate event then setting
slave_rows_search_algorithms
to INDEX_SCAN
or
HASH_SCAN
provides no performance
improvement while executing these separate events.
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. This gives you the opportunity to resolve the inconsistency in the data manually. This variable tells 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.
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. The default value is
10.
Transactions cannot be retried when using a multithreaded
slave. In other words, whenever
slave_parallel_workers
is
greater than 0, slave_transaction_retries
is treated as equal to 0, and cannot be changed.
Property | Value |
---|---|
Command-Line Format | --slave-type-conversions=set |
System Variable | slave_type_conversions |
Scope | Global |
Dynamic | No |
Type | Set |
Default Value |
|
Valid Values (>= 5.6.13) |
|
Valid Values (<= 5.6.12) |
|
Controls the type conversion mode in effect on the slave
when using row-based replication. In MySQL 5.6.13 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. Changes require a restart of the slave to
take effect.
ALL_SIGNED
and
ALL_UNSIGNED
were added in MySQL 5.6.13
(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.
This option is incompatible with GTID-based replication, and
must not be set to a nonzero value when
gtid_mode=ON
. In MySQL
5.6.10 and higher, trying to do so is specifically
disallowed. (Bug #15833516) 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 13.4.2.4, “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.
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 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.
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. See Section 17.1.2, “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”.
The option value, if given, is the base name for the log
sequence. The server creates binary log files in sequence by
adding a numeric suffix to the base name. It is recommended
that you specify a base name (see
Section B.4.7, “Known Issues in MySQL”, for the reason). Otherwise,
MySQL uses
as the base name.
host_name
-bin
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 5.6, the
default base name is the name of the process ID file, with
the suffix -bin
. That name can be set
with the --pid-file
option,
and it defaults to the name of the host machine. It is
recommended that you specify a base name using the
--log-bin
option, so that you can continue
to use the same binary log file names regardless of changes
to the default name.
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.
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 17.1.4.3, “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 5.6.12, 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 5.6.12 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.
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
.
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.
In MySQL 5.6, this variable has no effect when
the binary log format is ROW
or
MIXED
. (Bug #51291)
Property | Value |
---|---|
Command-Line Format | --binlog-error-action[=value] |
Introduced | 5.6.22 |
System Variable | binlog_error_action |
Scope | Global |
Dynamic | Yes |
Type | Enumeration |
Default Value | IGNORE_ERROR |
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 5.6, this variable defaults 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.
Setting this variable to ABORT_SERVER
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 17.3.2, “Handling an Unexpected Halt of a Replication Slave”).
This is the recommended setting, particularly in complex
replication environments.
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 (>= 5.6.10-ndb-7.3.1) | MIXED |
Default Value | STATEMENT |
Valid Values |
|
This variable sets the binary logging format, and can be any
one of STATEMENT
, ROW
,
or MIXED
. See
Section 17.1.2, “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.
In MySQL 5.6, the default format is
STATEMENT
.
Exception: In MySQL NDB Cluster 7.3 and
later, 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 20.7, “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.
Property | Value |
---|---|
Command-Line Format | --binlogging-impossible-mode[=value] |
Introduced | 5.6.20 |
Deprecated | 5.6.22 |
System Variable | binlogging_impossible_mode |
Scope | Global, Session |
Dynamic | Yes |
Type | Enumeration |
Default Value | IGNORE_ERROR |
Valid Values |
|
This option is deprecated and will be removed in a future
MySQL release. Use the renamed
binlog_error_action
to
control what happens when the server cannot write to the
binary log.
Property | Value |
---|---|
Command-Line Format | --binlog-max-flush-queue-time=# |
System Variable | binlog_max_flush_queue_time |
Scope | Global |
Dynamic | Yes |
Type | Integer |
Default Value | 0 |
Minimum Value | 0 |
Maximum Value | 100000 |
How long in microseconds to keep reading transactions from
the flush queue before proceeding with the group commit (and
syncing the log to disk, if
sync_binlog
is greater than
0). If the value is 0 (the default), there is no timeout and
the server keeps reading new transactions until the queue is
empty.
Normally,
binlog_max_flush_queue_time
can remain set to 0. If the server processes a large number
of connections (for example, 100 or more) and many short
transactions with low-latency requirements, it may be useful
to set the value larger than 0 to force more frequent
flushes to disk.
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.
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. (Bug #16316828)
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 has
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.
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 5.6, the default base name is the
name of the process ID file, with the suffix
-bin
. That name can be set with the
--pid-file
option, and it
defaults to the name of the host machine. The default
location for the binary log files 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 20.7, “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 5.6 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 7.3 and higher use 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 18.6.11, “NDB Cluster Replication Conflict Resolution”.
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 17.1.4, “Replication and Binary Logging Options and Variables”. A warning is issued
if you enable
log_slave_updates
without
also starting the server with the
--log-bin
option.
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.
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.
In MySQL 5.6, the visibility to sessions of
max_binlog_cache_size
matches that of the
binlog_cache_size
system
variable; in other words, changing its value effects 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 once again, the GTIDs written into the log
from this point do not account for any transactions that
occurred in the meantime—in effect, those transactions
are lost.
As of MySQL 5.6.22, 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.
Prior to 5.6.22,
sql_log_bin
can be set as a
global or session variable. Setting
sql_log_bin
globally is
only detected when a new session is started. Any sessions
previously running are not impacted when setting
sql_log_bin
globally.
Incorrect use of
sql_log_bin
with a global
scope means any changes made in an already running session
are still being recorded to the
binary log and therefore replicated. Exercise extreme
caution using sql_log_bin
with a global scope as the above situation could cause
unexpected results including replication failure.
Property | Value |
---|---|
Command-Line Format | --sync-binlog=# |
System Variable | sync_binlog |
Scope | Global |
Dynamic | Yes |
Type | Integer |
Default Value | 0 |
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.
The MySQL Server system variables described in this section are used to monitor and control Global Transaction Identifiers (GTIDs). For additional information, see Section 17.1.3, “Replication with Global Transaction Identifiers”.
The following system variables are used with GTID-based replication:
Property | Value |
---|---|
Command-Line Format | --binlog-gtid-simple-recovery[={OFF|ON}] |
Introduced | 5.6.23 |
System Variable | binlog_gtid_simple_recovery |
Scope | Global |
Dynamic | No |
Type | Boolean |
Default Value | OFF |
This variable controls how binary log files are iterated
during the search for GTIDs when MySQL starts or restarts.
In MySQL version 5.6.21, this variable was added as
simplified_binlog_gtid_recovery
and in
MySQL version 5.6.23 it was renamed to
binlog_gtid_simple_recovery
.
When
binlog_gtid_simple_recovery=FALSE
,
the iteration starts from the newest file to initialize
gtid_executed
, and starts
from the oldest file to initialize
gtid_purged
. This process
could take a long time if you had a large number of binary
log files without GTID events, for example created when
gtid_mode=OFF
.
When
binlog_gtid_simple_recovery=TRUE
,
the server does not open more than two binary logs when
iterating to populate
gtid_purged
and
gtid_executed
, either
during server restart or when binary logs are being purged.
If this option is enabled,
gtid_executed
and
gtid_purged
may be
initialized incorrectly in the following situations:
If an incorrect GTID set is computed in either situation, it will remain incorrect even if the server is later restarted, regardless of the value of this option.
Property | Value |
---|---|
Command-Line Format | --enforce-gtid-consistency[=value] |
System Variable | enforce_gtid_consistency |
Scope | Global |
Dynamic | No |
Type | Boolean |
Default Value | OFF |
When this variable is true, the server enforces GTID
consistency by allowing execution of only those statements
that can be logged in a transactionally safe manner. You
must enable GTID consistency (by
enabling
enforce_gtid_consistency
)
before you can start the server with
gtid_mode=ON
; otherwise,
enabling GTID mode fails with an error. You
can (and should)
enable GTID consistency prior to using
gtid_mode
, in order to test
whether the system is ready to use GTIDs.
Since only transactionally safe statements can be logged
when enforce_gtid_consistency
is true, it
follows that the operations listed here cannot be used when
this is the case:
CREATE
TABLE ... SELECT
statements
CREATE
TEMPORARY TABLE
statements inside transactions
Transactions or statements that update both transactional and nontransactional tables.
This variable is read-only at runtime and must be set at server startup.
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).
In MySQL 5.6, it is possible but not recommended to run
mysql_upgrade on a server where
gtid_mode=ON
, since the
MySQL system tables use the
MyISAM
storage engine, which is
nontransactional.
This option allows single statements updating nontransactional tables, which is intended chiefly for use with programs such as mysql_install_db and mysql_upgrade. (Bug #14722659)
Property | Value |
---|---|
System Variable | gtid_executed |
Scope | Global, Session |
Dynamic | No |
Type | String |
When used with global scope, this variable contains a
representation of the set of all transactions that are
logged in the binary log. This is the same as the value of
the Executed_Gtid_Set
column in the
output of SHOW MASTER STATUS
and SHOW SLAVE STATUS
.
When used with session scope, this variable contains a representation of the set of transactions that are written to the cache in the current session.
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.
When the server starts,
@@GLOBAL.gtid_executed
is initialized to
the union of the following two sets:
The GTIDs listed in the
Previous_gtids_log_event
of the
newest binary log
The GTIDs found in every
Gtid_log_event
in the newest binary
log.
Thereafter, GTIDs are added to the set as transactions are executed.
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
. The set is
also cleared if the server is shut down and all binary logs
are removed.
Property | Value |
---|---|
Command-Line Format | --gtid-mode=MODE |
System Variable | gtid_mode |
Scope | Global |
Dynamic | No |
Type | Enumeration |
Default Value | OFF |
Valid Values |
|
This variable specifies whether global transaction identifiers (GTIDs) are used to identify transactions. This variable is read-only at runtime and must be set at server startup.
Starting the server with gtid_mode=ON
requires that the server also be started with the
--log-bin
,
--log-slave-updates
, and
--enforce-gtid-consistency
options.
Setting this option to OFF
when there are
GTIDs in the binary log or in the relay log, or to
ON
when there remain anonymous
transactions to be executed, causes an error.
This option does not employ boolean values; its values are
in fact enumerated. You should not attempt to use numeric
values when setting this option, as these may lead to
unexpected results. The values
UPGRADE_STEP_1
and
UPGRADE_STEP_2
are reserved for future
use, but currently are not supported in production; if you
set gtid_mode
to either of these two
values, the server refuses to start.
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.
Setting this variable has no effect if
gtid_mode
is
OFF
.
Prior to MySQL 5.6.20, when GTIDs were enabled but
gtid_next
was not
AUTOMATIC
, DROP
TABLE
did not work correctly 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. In
MySQL 5.6.20 and higher, DROP TABLE
or
DROP TEMPORARY TABLE
fails with an
explicit error when used with either of these combinations
of tables. (Bug #17620053)
In MySQL 5.6.11 only, 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 5.6.12 and
later. (Bug #16062608, Bug #16715809, Bug #69045)
Property | Value |
---|---|
System Variable | gtid_owned |
Scope | Global, Session |
Dynamic | No |
Type | String |
This read-only variable holds a list whose contents depend on its scope. When used with session scope, the list holds all GTIDs that are owned by this client; when used with global scope, it holds a list of all GTIDs along with their owners.
Property | Value |
---|---|
System Variable | gtid_purged |
Scope | Global |
Dynamic | Yes |
Type | String |
The set of all transactions that have been purged from the
binary log. This is a subset of the set of transactions in
gtid_executed
.
When the server starts, the global value of
gtid_purged
is initialized
to the set of GTIDs contained by the
Previous_gtid_log_event
of the oldest
binary log. When a binary log is purged,
gtid_purged
is re-read from
the binary log that has now become the oldest one.
To update the value of this variable,
gtid_mode
must be
ON
,
gtid_executed
must be the
empty string, and therefore
gtid_purged
will also be
the empty string. This can occur either when replication has
not been started previously, or when replication was not
previously using GTIDs.
After executing SET gtid_purged
, you
should 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 use
binlog_gtid_simple_recovery=0
(the default in 5.6) to avoid
gtid_purged
or
gtid_executed
being
computed incorrectly.
Issuing RESET MASTER
causes
the value of this variable to be reset to an empty string.
simplified_binlog_gtid_recovery
Property | Value |
---|---|
Command-Line Format | --simplified-binlog-gtid-recovery[={OFF|ON}] |
Introduced | 5.6.21 |
Deprecated | 5.6.23 |
System Variable | simplified_binlog_gtid_recovery |
Scope | Global |
Dynamic | No |
Type | Boolean |
Default Value | OFF |
This option is deprecated and will be removed in a future
MySQL release. Use the renamed
binlog_gtid_simple_recovery
to control how MySQL iterates through binary log files after
a crash.
Once replication has been started it should execute without requiring much regular administration. Depending on your replication environment, you will want to check the replication status of each slave periodically, daily, or even more frequently.
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 primary
statement for this is SHOW SLAVE
STATUS
, which you must execute on each slave:
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 8.14.6, “Replication Slave I/O Thread States”, and
Section 8.14.7, “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.
The SHOW STATUS
statement also
provides some information relating specifically to replication
slaves. The replication heartbeat information displayed by
SHOW STATUS
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
Slave_last_heartbeat
variable
for SHOW STATUS
shows when the
replication slave last received a heartbeat signal.
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 the replication of statements 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 17.2.1, “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 17.2.2, “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 17.2.3, “How Servers Evaluate Replication Filtering Rules”.
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 8.14.5, “Replication Master Thread States”. For
slave states, see Section 8.14.6, “Replication Slave I/O Thread States”, and
Section 8.14.7, “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 5.6 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 17.1.5.1, “Checking Replication Status”.
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 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 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.
Prior to MySQL 5.6, this log was always a file
(master.info
), but in MySQL 5.6 and
later, 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 info log holds status information about the execution point within the slave's relay log.
Prior to MySQL 5.6, this log was always a file
(relay-log.info
), but in MySQL 5.6 and
later, 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.
In MySQL 5.6.5 and earlier, the
slave_master_info
and
slave_relay_log_info
tables used
MyISAM
by default, which meant that
it was necessary before starting replication to change the storage
engine used by these tables by issuing
ALTER TABLE ...
ENGINE=InnoDB
, as shown here:
ALTER TABLE mysql.slave_master_info ENGINE=InnoDB; ALTER TABLE mysql.slave_relay_log_info ENGINE=InnoDB;
The ALTER TABLE
statements must be
executed by the MySQL root
or other user
account with the appropriate privileges on the
mysql
system database. You should not attempt
to do this while replication is running; beginning with MySQL
5.6.3, trying to execute an ALTER
TABLE
on either these tables while replication is
ongoing is disallowed. Starting with MySQL 5.6.4, execution of any
statement requiring a write lock on either or both of these tables
is disallowed while replication is ongoing, while statements that
perform only reads are permitted at any time.
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.
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 17.3.2, “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 4.6.8, “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 17.1.4, “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. In MySQL 5.6 and later, either or
both of these logs can also be written to tables in the
mysql
system 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 17.1.4, “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 17.3.2, “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.
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_crl_path |
[None] | Path to a directory containing SSL certificate revocation-list files |
23 | Enabled_auto_position |
Auto_position |
If autopositioning is in use or not (added in MySQL version 5.6.5) |
The slave SQL thread updates the relay log info log. In MySQL
5.6, 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 |
5 | Sql_delay |
SQL_Delay |
The number of seconds that the slave must lag the master |
6 | Number_of_workers |
[None] | The number of slave worker threads for executing replication events (transactions) in parallel |
7 | Id |
[None] | ID used for internal purposes; currently this is always 1 |
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 17.2.3.1, “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 17.1.4, “Replication and Binary Logging Options and Variables”.)
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 17.2.3.1, “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 17.2.3.2, “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.
In MySQL 5.6, 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.
This is a change from previous versions of MySQL. (Bug #51639)
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 17.2.3.2, “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 17.2.3.1, “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 17.2.3.1, “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 17.3.1, “Using Replication for Backups”.
For advice and tips on using different storage engines on the master and slaves, see Section 17.3.3, “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 17.3.4, “Using Replication for Scale-Out”.
For performance or data distribution reasons, you may want to replicate different databases to different replication slaves. See Section 17.3.5, “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 17.3.6, “Improving Replication Performance”.
For guidance on switching masters, or converting slaves into masters as part of an emergency failover solution, see Section 17.3.7, “Switching Masters During Failover”.
To secure your replication communication, you can encrypt the communication channel. For step-by-step instructions, see Section 17.3.8, “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 17.3.1.1, “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 17.3.1.2, “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 17.3.1.3, “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 17.1.5.1, “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 17.3.5, “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 5.6\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 5.6 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 5.6 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 17.2.2, “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 17.1 Factors Influencing Single-threaded Replication Slave Recovery
GTID |
MASTER_AUTO_POSITION |
Crash type |
Recovery guaranteed |
Relay log impact |
||
---|---|---|---|---|---|---|
OFF |
Not relevant |
1 |
TABLE |
Server |
Yes |
Lost |
OFF |
Not relevant |
1 |
Any |
OS |
No |
Lost |
OFF |
Not relevant |
0 |
TABLE |
Server |
Yes |
Remains |
OFF |
Not relevant |
0 |
TABLE |
OS |
No |
Remains |
ON |
ON |
1 | Not relevant |
Not relevant |
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
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 17.2 Factors Influencing Multithreaded Replication Slave Recovery
GTID |
|
Crash type |
Recovery guaranteed |
Relay log impact |
|||
---|---|---|---|---|---|---|---|
OFF |
1 |
Not relevant |
1 |
TABLE |
Any |
Yes |
Lost |
OFF |
>1 |
Not relevant |
1 |
TABLE |
Server |
Yes |
Lost |
OFF |
>1 |
Not relevant |
1 |
Any |
OS |
No |
Lost |
OFF |
1 |
Not relevant |
0 |
TABLE |
Server |
Yes |
Remains |
OFF |
1 |
Not relevant |
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
,
set relay_log_recovery=1
.
With this configuration the setting of
relay_log_info_repository
and
other variables does not impact on recovery.
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
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 is not automatic and requires
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 17.3.4, “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 17.1, “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 17.2, “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 17.2, “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 17.3, “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 17.3.5, “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 17.3.3, “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. 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 17.4, “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 17.3.4, “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 17.5, “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.
On the slave, there are two ways to specify the information
required for connecting using encryption to the master. You can
either name the slave certificate and key files in the
[client]
section of the slave's
my.cnf
file, or you can explicitly specify
that information using the 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, using the MASTER_SSL
option to connect using encryption:
mysql>CHANGE MASTER TO
->MASTER_HOST='master_hostname',
->MASTER_USER='replicate',
->MASTER_PASSWORD='
->password
',MASTER_SSL=1;
To specify the certificate and key names using the
CHANGE MASTER TO
statement,
append the appropriate
MASTER_SSL_
options:
xxx
mysql>CHANGE MASTER TO
->MASTER_HOST='master_hostname',
->MASTER_USER='replicate',
->MASTER_PASSWORD='
->password
',MASTER_SSL=1,
->MASTER_SSL_CA = 'ca_file_name',
->MASTER_SSL_CAPATH = 'ca_directory_name',
->MASTER_SSL_CERT = 'cert_file_name',
->MASTER_SSL_KEY = 'key_file_name';
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.
For more information on the CHANGE MASTER
TO
statement, see Section 13.4.2.1, “CHANGE MASTER TO Statement”.
If you want to enforce the use of encrypted connections during
replication, create a user with the
REPLICATION SLAVE
privilege and use
the REQUIRE SSL
option for that user. For
example:
mysql>CREATE USER 'repl'@'%.example.com' IDENTIFIED BY '
mysql>password
';GRANT REPLICATION SLAVE ON *.*
->TO 'repl'@'%.example.com' REQUIRE SSL;
If the account already exists, you can add REQUIRE
SSL
to it with this statement:
mysql>GRANT USAGE ON *.*
->TO 'repl'@'%.example.com' REQUIRE SSL;
In addition to the built-in asynchronous replication, MySQL 5.6 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 after the commit is done 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 after having performed a commit), 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.
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
after committing 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 after commit 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. When a commit returns successfully, it is known that the data exists in at least two places (on the master and at least one slave). If the master commits but a crash occurs while the master is waiting for acknowledgment from a slave, it is possible that the transaction may not have reached any slave.
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 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 17.1, “Replication Configuration”.
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 5.6 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 relay-log.info
file now contains the
delay value, so the file format has changed. See
Section 17.2.2.2, “Slave Status Logs”. In particular, the first line
of the file now indicates how many lines are in the file. If you
downgrade a slave server to a version older than MySQL 5.6, the
older server will not read the file correctly. To address this,
modify the file in a text editor to delete the initial line
containing the number of lines.
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 SBR requires that any SQL features used be supported by both the master and the slave servers. For example, if you use a feature on the master server that exists in MySQL 5.6 but was removed in MySQL 5.7, errors will occur if you replicate to a slave that uses MySQL 5.7. Such incompatibilities also can occur within a release series when using pre-production releases of MySQL.
For this reason, use Generally Available (GA) releases of MySQL for statement-based replication in a production setting, since we do not introduce new SQL statements or change their behavior within a given release series once that series reaches GA release status.
If you are planning to use statement-based replication between MySQL 5.6 and a previous MySQL release series, it is also 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 20.7, “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 17.1.2, “Replication Formats”.
For additional information specific to replication and
InnoDB
, see
Section 14.19, “InnoDB and MySQL Replication”. For information
relating to replication with NDB Cluster, see
Section 18.6, “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
5.6.10, 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.
(Bug #12669186)
A statement invoking a trigger or function that causes an
update to an AUTO_INCREMENT
column is not
replicated correctly using statement-based replication. In
MySQL 5.6, such 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. Beginning with MySQL
5.6.6, such 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. In MySQL 5.6.12 and later, 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.
In MySQL 5.6, 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.
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 17.4.1.7, “Replication of CREATE TABLE ... SELECT Statements”, for
more information.
CREATE EVENT
IF NOT EXISTS
is always replicated in MySQL
5.6, whether or not the event named in the
statement already exists on the master.
See also Bug #45574.
MySQL applies these rules when
CREATE
TABLE ... SELECT
statements are replicated:
CREATE
TABLE ... SELECT
always performs an implicit
commit (Section 13.3.3, “Statements That Cause an Implicit Commit”).
If the 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.
If the destination table exists and IF NOT
EXISTS
is given, MySQL ignores the statement
completely; nothing is inserted or logged.
MySQL 5.6 does not allow a
CREATE
TABLE ... SELECT
statement to make any changes in
tables other than the table that is created by the statement.
This is a change in behavior from previous versions of MySQL,
which 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 keep 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 5.6 (or later).
(If you choose to upgrade the master, keep in mind that such a
CREATE
TABLE ... SELECT
statement will fail 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
.
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.
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 17.4.1.23, “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 11.5, “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, beginning with MySQL 5.1.21, this is not always strictly enforced, as long as certain conditions are met.
All other things being equal, it is always 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 5.6.10, 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 in MySQL 5.6 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 5.6.13, 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 12.21.4, “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”.
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.
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”.
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
.
MySQL 5.6.4 and up 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 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.
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 17.1.2, “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 17.4.1.8, “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 17.4.1.31, “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 5.6.15, 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 21.8, “The INFORMATION_SCHEMA EVENTS Table”, and
Section 13.7.5.19, “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 17.1.2.3, “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 4.6.8, “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 to be emptied by writing a
DELETE
statement for that table
to the binary log.
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 17.4.1.35, “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 17.4.1.17, “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 17.4.1.9, “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 range
on a 5.0 master that is
replicating to a 5.1 or higher slave because
RANGE
is a reserved word beginning in MySQL
5.1. 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 5.1.7, “Server System Variables”.
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 17.4.1.29, “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. The default
value of
sync_relay_log_info
is 0,
which does not cause writes to be forced to disk; 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”.
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 17.4.1.15, “Replication and System Functions”.
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 MySQL 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. In MySQL 5.6, a statement that references both nontransactional and transactional tables and updates any of the tables involved, is considered a “mixed” statement. (In previous MySQL release series, a statement that changed 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 17.1.2.3, “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.
In MySQL 5.6, 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
system
variable is read-only as long as a transaction is in progress.
(Bug #47863)
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. In MySQL 5.6, this true is even for
statements affecting tables that use a nontransactional storage
engine (such as MyISAM
).
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
5.6 marks such statements as unsafe. (Bug #45677)
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 13.1.33, “TRUNCATE TABLE Statement” governing such tables. (Bug
#36763)
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 17.4.1.20, “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 17.1.2, “Replication Formats”.
In MySQL 5.6, 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.
In previous versions of MySQL, when a case-sensitive file system was in use, setting this variable to 1 on the slave and to a different value on the master could lead to replication failure. This issue is fixed in MySQL 5.6.1. (Bug #37656)
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 samed-named view is supported using statement-based logging, but not when using row-based logging. In MySQL 5.6.11 and later, 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 5.6.39, MySQL 5.6.40, and MySQL 5.6.41 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. For example, the binary log format
implemented in MySQL 5.0 changed considerably from that used
in previous versions, especially with regard to handling of
character sets, LOAD DATA
,
and time zones. This means that replication from a MySQL 5.0
(or later) master to a MySQL 4.1 (or earlier) slave is
generally not supported.
This also has significant implications for upgrading replication servers; see Section 17.4.3, “Upgrading a Replication Setup”, for more information.
Use of row-based replication. Row-based replication was implemented in MySQL 5.1.5, so you cannot replicate using row-based replication from any MySQL 5.6 or later master to a slave older than MySQL 5.1.5.
For more information about row-based replication, see Section 17.1.2, “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.
Important Variables in MySQL 5.6. Features have been added to MySQL 5.6 which need to be disabled when replicating to earlier MySQL versions. To avoid incompatibilities, set the following variables on the MySQL 5.6 master:
For more information on potential replication issues, see Section 17.4.1, “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 5.6 from an earlier MySQL release series, you should first ensure that all the slaves of this master are using the same 5.6.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 5.6.x version, restart it, and restart replication. Relay logs created by the slave after the upgrade are in 5.6 format.
Changes affecting operations in strict SQL mode may result in
replication failure on an updated slave. For example, as of MySQL
5.6.13, the server restricts insertion of a
DEFAULT
value of 0 for temporal data types in
strict mode (STRICT_TRANS_TABLES
or STRICT_ALL_TABLES
). A
resulting incompatibility for replication if you use
statement-based logging
(binlog_format=STATEMENT
) is that
if a slave is upgraded, a 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 5.6.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 5.6 master is able to read the old binary logs written prior to the upgrade and to send them to the 5.6 slaves. The slaves recognize the old format and handle it properly. Binary logs created by the master subsequent to the upgrade are in 5.6 format. These too are recognized by the 5.6 slaves.
In other words, when upgrading to MySQL 5.6, the slaves must be MySQL 5.6 before you can upgrade the master to 5.6. Note that downgrading from 5.6 to older versions does not work so simply: You must ensure that any 5.6 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 5.6”. 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.
Replication with global transaction identifiers was introduced in MySQL 5.6.7. If you are upgrading an existing replication setup from a version of MySQL that does not support GTIDs 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. See Section 17.1.3.2, “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 17.2.1, “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 17.4.1, “Replication Features and Issues”. If it is a bug, see Section 17.4.5, “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 13.4.2.4, “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”.