Beginning with MySQL 5.1.18, it is possible to use MySQL Cluster in multi-master replication, including circular replication between a number of MySQL Clusters.
Prior to MySQL 5.1.18, multi-master replication including circular replication was not supported with MySQL Cluster replication. This was because log events created in a particular MySQL Cluster were wrongly tagged with the server ID of the master rather than the server ID of the originating server.
Circular replication example. In the next few paragraphs we consider the example of a replication setup involving three MySQL Clusters numbered 1, 2, and 3, in which Cluster 1 acts as the replication master for Cluster 2, Cluster 2 acts as the master for Cluster 3, and Cluster 3 acts as the master for Cluster 1. Each cluster has two SQL nodes, with SQL nodes A and B belonging to Cluster 1, SQL nodes C and D belonging to Cluster 2, and SQL nodes E and F belonging to Cluster 3.
Circular replication using these clusters is supported as long as the following conditions are met:
- The SQL nodes on all masters and slaves are the same
- All SQL nodes acting as replication masters and slaves are started using the
This type of circular replication setup is shown in the following diagram:
Figure 17.18 MySQL Cluster Circular Replication with All Masters As Slaves
In this scenario, SQL node A in Cluster 1 replicates to SQL node C in Cluster 2; SQL node C replicates to SQL node E in Cluster 3; SQL node E replicates to SQL node A. In other words, the replication line (indicated by the red arrows in the diagram) directly connects all SQL nodes used as replication masters and slaves.
It is also possible to set up circular replication in such a way that not all master SQL nodes are also slaves, as shown here:
Figure 17.19 MySQL Cluster Circular Replication Where Not All Masters Are Slaves
In this case, different SQL nodes in each cluster are used as replication masters and slaves. However, you must not start any of the SQL nodes using
--log-slave-updates. This type of circular replication scheme for MySQL Cluster, in which the line of replication (again indicated by the red arrows in the diagram) is discontinuous, should be possible, but it should be noted that it has not yet been thoroughly tested and must therefore still be considered experimental.
Using NDB-native backup and restore to initialize a slave MySQL Cluster. When setting up circular replication, it is possible to initialize the slave cluster by using the management client
BACKUP command on one MySQL Cluster to create a backup and then applying this backup on another MySQL Cluster using ndb_restore. However, this does not automatically create binary logs on the second MySQL Cluster’s SQL node acting as the replication slave. In order to cause the binary logs to be created, you must issue a
SHOW TABLES statement on that SQL node; this should be done prior to running
This is a known issue which we intend to address in a future release.
Multi-master failover example. In this section, we discuss failover in a multi-master MySQL Cluster replication setup with three MySQL Clusters having server IDs 1, 2, and 3. In this scenario, Cluster 1 replicates to Clusters 2 and 3; Cluster 2 also replicates to Cluster 3. This relationship is shown here:
Figure 17.20 MySQL Cluster Multi-Master Replication With 3 Masters
In other words, data replicates from Cluster 1 to Cluster 3 through 2 different routes: directly, and by way of Cluster 2.
Not all MySQL servers taking part in multi-master replication must act as both master and slave, and a given MySQL Cluster might use different SQL nodes for different replication channels. Such a case is shown here:
--log-slave-updates option has no effect on servers not being run as replication slaves.
The need for failover arises when one of the replicating clusters goes down. In this example, we consider the case where Cluster 1 is lost to service, and so Cluster 3 loses 2 sources of updates from Cluster 1. Because replication between MySQL Clusters is asynchronous, there is no guarantee that Cluster 3’s updates originating directly from Cluster 1 are more recent than those received through Cluster 2. You can handle this by ensuring that Cluster 3 catches up to Cluster 2 with regard to updates from Cluster 1. In terms of MySQL servers, this means that you need to replicate any outstanding updates from MySQL server C to server F.
On server C, perform the following queries:
mysqlC> SELECT @latest:=MAX(epoch) -> FROM mysql.ndb_apply_status -> WHERE server_id=1; mysqlC> SELECT -> @file:=SUBSTRING_INDEX(File, '/', -1), -> @pos:=Position -> FROM mysql.ndb_binlog_index -> WHERE orig_epoch >= @latest -> AND orig_server_id = 1 -> ORDER BY epoch ASC LIMIT 1;
You can improve the performance of this query, and thus likely speed up failover times significantly, by adding the appropriate index to the
ndb_binlog_index table. See Section 17.6.4, “MySQL Cluster Replication Schema and Tables”, for more information.
Copy over the values for
@pos manually from server C to server F (or have your application perform the equivalent). Then, on server F, execute the following
CHANGE MASTER TO statement:
mysqlF> CHANGE MASTER TO -> MASTER_HOST = 'serverC' -> MASTER_LOG_FILE='@file', -> MASTER_LOG_POS=@pos;
Once this has been done, you can issue a
START SLAVE statement on MySQL server F, and any missing updates originating from server B will be replicated to server F.
Beginning with MySQL Cluster MySQL Cluster NDB 6.1.29, MySQL Cluster NDB 6.3.31, MySQL Cluster NDB 7.0.11, and MySQL Cluster NDB 7.1.0, the
CHANGE MASTER TO statement also supports an
IGNORE_SERVER_IDS option which takes a comma-separated list of server IDs and causes events originating from the corresponding servers to be ignored. For more information, see Section 220.127.116.11, “CHANGE MASTER TO Syntax”, andSection 18.104.22.168, “SHOW SLAVE STATUS Syntax”.
Source: MySQL documentation