It is possible to use NDB Cluster for bidirectional replication between two clusters, as well as for circular replication between any number of clusters.
Circular replication example. In the next few paragraphs we consider the example of a replication setup involving three NDB Clusters numbered 1, 2, and 3, in which Cluster 1 acts as the replication source for Cluster 2, Cluster 2 acts as the source for Cluster 3, and Cluster 3 acts as the source 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 sources and replicas are the same. 
- All SQL nodes acting as sources and replicas are started with the system variable - log_replica_updates(beginning with NDB 8.0.26) or- log_slave_updates(NDB 8.0.26 and earlier) enabled.
This type of circular replication setup is shown in the following diagram:
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 curved arrows in the diagram) directly connects all SQL nodes used as replication sources and replicas.
It is also possible to set up circular replication in such a way that not all source SQL nodes are also replicas, as shown here:
      In this case, different SQL nodes in each cluster are used as
      replication sources and replicas. You must
      not start any of the SQL nodes with the
      system variable
      log_replica_updates (NDB 8.0.26
      and later) or log_slave_updates
      (prior to NDB 8.0.26) enabled. This type of circular replication
      scheme for NDB Cluster, in which the line of replication (again
      indicated by the curved 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 replica cluster. 
        
        When setting up circular replication, it is possible to
        initialize the replica cluster by using the management client
        START BACKUP command on one
        NDB Cluster to create a backup and then applying this backup on
        another NDB Cluster using ndb_restore. This
        does not automatically create binary logs on the second NDB
        Cluster's SQL node acting as the replica; 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
        START REPLICA. This is a known
        issue.
      
Multi-source failover example. In this section, we discuss failover in a multi-source NDB Cluster replication setup with three NDB 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:
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-source replication must act as both source and replica, and a given NDB Cluster might use different SQL nodes for different replication channels. Such a case is shown here:
      MySQL servers acting as replicas must be run with the system
      variable log_replica_updates
      (beginning with NDB 8.0.26) or
      log_slave_updates (NDB 8.0.26 and
      earlier) enabled. Which mysqld processes
      require this option is also shown in the preceding diagram.
        Using the log_replica_updates
        or log_slave_updates system
        variable has no effect on servers not being run as replicas.
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 NDB 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 25.7.4, “NDB Cluster Replication Schema and Tables”, for more
        information.
      Copy over the values for @file and
      @pos manually from server C to server F
      (or have your application perform the equivalent). Then, on server
      F, execute the following CHANGE REPLICATION
      SOURCE TO statement (NDB 8.0.23 and later) or
      CHANGE MASTER TO statement (prior
      to NDB 8.0.23):
    
mysqlF> CHANGE MASTER TO
     ->     MASTER_HOST = 'serverC'
     ->     MASTER_LOG_FILE='@file',
     ->     MASTER_LOG_POS=@pos;Beginning with NDB 8.0.23, you can also use the following statement:
mysqlF> CHANGE REPLICATION SOURCE TO
     ->     SOURCE_HOST = 'serverC'
     ->     SOURCE_LOG_FILE='@file',
     ->     SOURCE_LOG_POS=@pos;
      Once this has been done, you can issue a
      START REPLICA statement on MySQL
      server F; this causes any missing updates originating from server
      B to be replicated to server F.
    
      The CHANGE REPLICATION SOURCE TO |
      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 15.4.2.1, “CHANGE MASTER TO Statement”, and
      Section 15.7.7.36, “SHOW SLAVE | REPLICA STATUS Statement”. For information about how
      this option interacts with the
      ndb_log_apply_status variable,
      see Section 25.7.8, “Implementing Failover with NDB Cluster Replication”.
 
 
 
