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MySQL 8.0 Reference Manual  /  ...  /  Adding NDB Cluster Data Nodes Online: Basic procedure

25.6.7.2 Adding NDB Cluster Data Nodes Online: Basic procedure

In this section, we list the basic steps required to add new data nodes to an NDB Cluster. This procedure applies whether you are using ndbd or ndbmtd binaries for the data node processes. For a more detailed example, see Section 25.6.7.3, “Adding NDB Cluster Data Nodes Online: Detailed Example”.

Assuming that you already have a running NDB Cluster, adding data nodes online requires the following steps:

  1. Edit the cluster configuration config.ini file, adding new [ndbd] sections corresponding to the nodes to be added. In the case where the cluster uses multiple management servers, these changes need to be made to all config.ini files used by the management servers.

    You must be careful that node IDs for any new data nodes added in the config.ini file do not overlap node IDs used by existing nodes. In the event that you have API nodes using dynamically allocated node IDs and these IDs match node IDs that you want to use for new data nodes, it is possible to force any such API nodes to migrate, as described later in this procedure.

  2. Perform a rolling restart of all NDB Cluster management servers.

    Important

    All management servers must be restarted with the --reload or --initial option to force the reading of the new configuration.

  3. Perform a rolling restart of all existing NDB Cluster data nodes. It is not necessary (or usually even desirable) to use --initial when restarting the existing data nodes.

    If you are using API nodes with dynamically allocated IDs matching any node IDs that you wish to assign to new data nodes, you must restart all API nodes (including SQL nodes) before restarting any of the data nodes processes in this step. This causes any API nodes with node IDs that were previously not explicitly assigned to relinquish those node IDs and acquire new ones.

  4. Perform a rolling restart of any SQL or API nodes connected to the NDB Cluster.

  5. Start the new data nodes.

    The new data nodes may be started in any order. They can also be started concurrently, as long as they are started after the rolling restarts of all existing data nodes have been completed, and before proceeding to the next step.

  6. Execute one or more CREATE NODEGROUP commands in the NDB Cluster management client to create the new node group or node groups to which the new data nodes belong.

  7. Redistribute the cluster's data among all data nodes, including the new ones. Normally this is done by issuing an ALTER TABLE ... ALGORITHM=INPLACE, REORGANIZE PARTITION statement in the mysql client for each NDBCLUSTER table.

    Exception: For tables created using the MAX_ROWS option, this statement does not work; instead, use ALTER TABLE ... ALGORITHM=INPLACE MAX_ROWS=... to reorganize such tables. You should also bear in mind that using MAX_ROWS to set the number of partitions in this fashion is deprecated, and you should use PARTITION_BALANCE instead; see Section 15.1.20.12, “Setting NDB Comment Options”, for more information.

    Note

    This needs to be done only for tables already existing at the time the new node group is added. Data in tables created after the new node group is added is distributed automatically; however, data added to any given table tbl that existed before the new nodes were added is not distributed using the new nodes until that table has been reorganized.

  8. ALTER TABLE ... REORGANIZE PARTITION ALGORITHM=INPLACE reorganizes partitions but does not reclaim the space freed on the old nodes. You can do this by issuing, for each NDBCLUSTER table, an OPTIMIZE TABLE statement in the mysql client.

    This works for space used by variable-width columns of in-memory NDB tables. OPTIMIZE TABLE is not supported for fixed-width columns of in-memory tables; it is also not supported for Disk Data tables.

You can add all the nodes desired, then issue several CREATE NODEGROUP commands in succession to add the new node groups to the cluster.