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Amazon Relational Database Service
User Guide (API Version 2014-10-31)

AWS Documentation » Amazon Relational Database Service (RDS) » User Guide » MySQL on Amazon RDS » Working with MySQL Replication » Working with MySQL Read Replicas

Working with MySQL Read Replicas

This section contains specific information about working with Read Replicas on Amazon RDS MySQL. For general information about Read Replicas and instructions for using them, see Working with Read Replicas of MariaDB, MySQL, and PostgreSQL DB Instances.

Read Replica Configuration with MySQL

Before a MySQL DB instance can serve as a replication source, you must enable automatic backups on the source DB instance by setting the backup retention period to a value other than 0. This requirement also applies to a Read Replica that is the source DB instance for another Read Replica. Automatic backups are supported only for Read Replicas running any version of MySQL 5.6 and later. You can configure replication based on binary log coordinates for a MySQL DB instance.

You can create up to five Read Replicas from one DB instance. For replication to operate effectively, each Read Replica should have as the same amount of compute and storage resources as the source DB instance. If you scale the source DB instance, you should also scale the Read Replicas.

If a Read Replica is running any version of MySQL 5.6 and later, you can specify it as the source DB instance for another Read Replica. For example, you can create ReadReplica1 from MyDBInstance, and then create ReadReplica2 from ReadReplica1. Updates made to MyDBInstance are replicated to ReadReplica1 and then replicated from ReadReplica1 to ReadReplica2. You can't have more than four instances involved in a replication chain. For example, you can create ReadReplica1 from MySourceDBInstance, and then create ReadReplica2 from ReadReplica1, and then create ReadReplica3 from ReadReplica2, but you can't create a ReadReplica4 from ReadReplica3.

If you promote a MySQL Read Replica that is in turn replicating to other Read Replicas, those Read Replicas remain active. Consider an example where MyDBInstance1 replicates to MyDBInstance2, and MyDBInstance2 replicates to MyDBInstance3. If you promote MyDBInstance2, replication from MyDBInstance1 to MyDBInstance2 no longer occurs, but MyDBInstance2 still replicates to MyDBInstance3.

To enable automatic backups on a Read Replica for Amazon RDS MySQL version 5.6 and later, first create the Read Replica, then modify the Read Replica to enable automatic backups.

You can run multiple concurrent Read Replica create or delete actions that reference the same source DB instance, as long as you stay within the limit of five Read Replicas for the source instance.

Preparing MySQL DB Instances That Use MyISAM

If your MySQL DB instance uses a nontransactional engine such as MyISAM, you need to perform the following steps to successfully set up your Read Replica. These steps are required to ensure that the Read Replica has a consistent copy of your data. These steps are not required if all of your tables use a transactional engine such as InnoDB.

  1. Stop all data manipulation language (DML) and data definition language (DDL) operations on non-transactional tables in the source DB instance and wait for them to complete. SELECT statements can continue running.

  2. Flush and lock the tables in the source DB instance.

  3. Create the Read Replica using one of the methods in the following sections.

  4. Check the progress of the Read Replica creation using, for example, the DescribeDBInstances API operation. Once the Read Replica is available, unlock the tables of the source DB instance and resume normal database operations.

Configuring Delayed Replication with MySQL

You can use delayed replication as a strategy for disaster recovery. With delayed replication, you specify the minimum amount of time, in seconds, to delay replication from the master to the Read Replica. In the event of a disaster, such as a table deleted unintentionally, you complete the following steps to recover from the disaster quickly:

Note

  • On Amazon RDS MySQL 5.7, delayed replication supported for MySQL 5.7.22 and later. On Amazon RDS MySQL 5.6, delayed replication is supported for MySQL 5.6.40 and later.

  • You must use stored procedures to configure delayed replication. You can't configure delayed replication with the AWS Management Console, the AWS CLI, or the Amazon RDS API.

Configuring Delayed Replication During Read Replica Creation

To configure delayed replication for any future Read Replica created from a DB instance, run the mysql.rds_set_configuration stored procedure with the target delay parameter.

To configure delayed replication during Read Replica creation

  1. Using a MySQL client, connect to the MySQL DB instance that will be the source for Read Replicas as the master user.

  2. Run the mysql.rds_set_configuration stored procedure with the target delay parameter.

    For example, run the following stored procedure to specify that replication is delayed by at least one hour (3600 seconds) for any Read Replica created from the current DB instance. 

    call mysql.rds_set_configuration('target delay', 3600);

    Note

    After running this stored procedure, any Read Replica you create using the AWS CLI or Amazon RDS API is configured with replication delayed by the specified number of seconds.

Modifying Delayed Replication for an Existing Read Replica

To modify delayed replication for an existing Read Replica, run the mysql.rds_set_source_delay stored procedure.

To modify delayed replication for an existing Read Replica

  1. Using a MySQL client, connect to the Read Replica as the master user.

  2. Use the mysql.rds_stop_replication stored procedure to stop replication.

  3. Run the mysql.rds_set_source_delay stored procedure.

    For example, run the following stored procedure to specify that replication to the Read Replica is delayed by at least one hour (3600 seconds). 

    call mysql.rds_set_source_delay(3600);

  4. Use the mysql.rds_start_replication stored procedure to start replication.

Setting a Location to Stop Replication to a Read Replica

After stopping replication to the Read Replica, you can start replication and then stop it at a specified binary log file location using the mysql.rds_start_replication_until stored procedure.

To start replication to a Read Replica and stop replication at a specific location

  1. Using a MySQL client, connect to the source MySQL DB instance as the master user.

  2. Run the mysql.rds_start_replication_until stored procedure.

    The following example initiates replication and replicates changes until it reaches location 120 in the mysql-bin-changelog.000777 binary log file. In a disaster recovery scenario, assume that location 120 is just before the disaster. 

    call mysql.rds_start_replication_until(
  'mysql-bin-changelog.000777',
  120);

Replication stops automatically when the stop point is reached. The following RDS event is generated: Replication has been stopped since the replica reached the stop point specified by the rds_start_replication_until stored procedure.

After replication is stopped, in a disaster recovery scenario, you can Promoting a Read Replica to Be a Standalone DB Instance promote the Read Replica to be the new master DB instance. For information about promoting the Read Replica, see Promoting a Read Replica to Be a Standalone DB Instance.

Read Replica Updates with MySQL

Read Replicas are designed to support read queries, but you might need occasional updates. For example, you might need to add an index to speed the specific types of queries accessing the replica. You can enable updates by setting the read_only parameter to 0 in the DB parameter group for the Read Replica.

Multi-AZ Read Replica Deployments with MySQL

You can create a Read Replica from either single-AZ or Multi-AZ DB instance deployments. You use Multi-AZ deployments to improve the durability and availability of critical data, but you can't use the Multi-AZ secondary to serve read-only queries. Instead, you can create Read Replicas from high-traffic Multi-AZ DB instances to offload read-only queries. If the source instance of a Multi-AZ deployment fails over to the secondary, any associated Read Replicas automatically switch to use the secondary (now primary) as their replication source. For more information, see High Availability (Multi-AZ).

You can create a Read Replica as a Multi-AZ DB instance. Amazon RDS creates a standby of your replica in another Availability Zone for failover support for the replica. Creating your Read Replica as a Multi-AZ DB instance is independent of whether the source database is a Multi-AZ DB instance.

Monitoring MySQL Read Replicas

For MySQL Read Replicas, you can monitor replication lag in Amazon CloudWatch by viewing the Amazon RDS ReplicaLag metric. The ReplicaLag metric reports the value of the Seconds_Behind_Master field of the SHOW SLAVE STATUS command.

Common causes for replication lag for MySQL are the following:

  • A network outage.

  • Writing to tables with indexes on a Read Replica. If the read_only parameter is not set to 0 on the Read Replica, it can break replication.

  • Using a nontransactional storage engine such as MyISAM. Replication is only supported for the InnoDB storage engine on MySQL.

When the ReplicaLag metric reaches 0, the replica has caught up to the source DB instance. If the ReplicaLag metric returns -1, then replication is currently not active. ReplicaLag = -1 is equivalent to Seconds_Behind_Master = NULL.

Starting and Stopping Replication with MySQL Read Replicas

You can stop and restart the replication process on an Amazon RDS DB instance by calling the system stored procedures mysql.rds_stop_replication and mysql.rds_start_replication. You can do this when replicating between two Amazon RDS instances for long-running operations such as creating large indexes. You also need to stop and start replication when importing or exporting databases. For more information, see Importing Data to an Amazon RDS MySQL or MariaDB DB Instance with Reduced Downtime and Exporting Data from a MySQL DB Instance by Using Replication.

If replication is stopped for more than 30 consecutive days, either manually or due to a replication error, Amazon RDS terminates replication between the master DB instance and all Read Replicas. It does so to prevent increased storage requirements on the master DB instance and long failover times. The Read Replica DB instance is still available. However, replication can't be resumed because the binary logs required by the Read Replica are deleted from the master DB instance after replication is terminated. You can create a new Read Replica for the master DB instance to reestablish replication.

Deleting Read Replicas with MySQL

You must explicitly delete Read Replicas, using the same mechanisms for deleting a DB instance. If you delete the source DB instance without deleting the replicas, each replica is promoted to a standalone DB instance.

Troubleshooting a MySQL Read Replica Problem

For MySQL DB instances, in some cases Read Replicas can't be switched to the secondary if some binlog events aren't flushed during the failure. In these cases, you must manually delete and recreate the Read Replicas. You can reduce the chance of this happening by setting the following dynamic variable values: sync_binlog=1, innodb_flush_log_at_trx_commit=1, and innodb_support_xa=1. These settings might reduce performance, so test their impact before implementing the changes in a production environment. For MySQL 5.5, sync_binlog defaults to 0, but in MySQL 5.6 and later, problems are less likely to occur because these parameters are all set to the recommended values by default.

The replication technologies for MySQL are asynchronous. Because they are asynchronous, occasional BinLogDiskUsage increases on the source DB instance and ReplicaLag on the Read Replica are to be expected. For example, a high volume of write operations to the source DB instance can occur in parallel. In contrast, write operations to the Read Replica are serialized using a single I/O thread, which can lead to a lag between the source instance and Read Replica. For more information about read-only replicas in the MySQL documentation, see Replication Implementation Details.

You can do several things to reduce the lag between updates to a source DB instance and the subsequent updates to the Read Replica, such as the following:

  • Sizing a Read Replica to have a storage size and DB instance class comparable to the source DB instance.

  • Ensuring that parameter settings in the DB parameter groups used by the source DB instance and the Read Replica are compatible. For more information and an example, see the discussion of the max_allowed_packet parameter later in this section.

Amazon RDS monitors the replication status of your Read Replicas and updates the Replication State field of the Read Replica instance to Error if replication stops for any reason. An example might be if DML queries run on your Read Replica conflict with the updates made on the source DB instance.

You can review the details of the associated error thrown by the MySQL engine by viewing the Replication Error field. Events that indicate the status of the Read Replica are also generated, including RDS-EVENT-0045, RDS-EVENT-0046, and RDS-EVENT-0047. For more information about events and subscribing to events, see Using Amazon RDS Event Notification. If a MySQL error message is returned, review the error number in the MySQL error message documentation.

One common issue that can cause replication errors is when the value for the max_allowed_packet parameter for a Read Replica is less than the max_allowed_packet parameter for the source DB instance. The max_allowed_packet parameter is a custom parameter that you can set in a DB parameter group that is used to specify the maximum size of DML code that can be executed on the database. In some cases, the max_allowed_packet parameter value in the DB parameter group associated with a source DB instance is smaller than the max_allowed_packet parameter value in the DB parameter group associated with the source's Read Replica. In these cases, the replication process can throw an error (Packet bigger than 'max_allowed_packet' bytes) and stop replication. You can fix the error by having the source and Read Replica use DB parameter groups with the same max_allowed_packet parameter values.

Other common situations that can cause replication errors include the following:

  • Writing to tables on a Read Replica. If you are creating indexes on a Read Replica, you need to have the read_only parameter set to 0 to create the indexes. If you are writing to tables on the Read Replica, it might break replication.

  • Using a non-transactional storage engine such as MyISAM. Read replicas require a transactional storage engine. Replication is only supported for the InnoDB storage engine on MySQL.

  • Using unsafe nondeterministic queries such as SYSDATE(). For more information, see Determination of Safe and Unsafe Statements in Binary Logging.

If you decide that you can safely skip an error, you can follow the steps described in the section Skipping the Current Replication Error. Otherwise, you can delete the Read Replica and create an instance using the same DB instance identifier so that the endpoint remains the same as that of your old Read Replica. If a replication error is fixed, the Replication State changes to replicating.