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Managing an NDB Cluster involves a number of tasks, the first of which is to configure and start NDB Cluster. This is covered inSection 25.4, “Configuration of NDB Cluster”, andSection 25.5, “NDB Cluster Programs”.

The next few sections cover the management of a running NDB Cluster.

For information about security issues relating to management and deployment of an NDB Cluster, seeSection 25.6.21, “NDB Cluster Security Issues”.

There are essentially two methods of actively managing a running NDB Cluster. The first of these is through the use of commands entered into the management client whereby cluster status can be checked, log levels changed, backups started and stopped, and nodes stopped and started. The second method involves studying the contents of the cluster logndb_node_id_cluster.log; this is usually found in the management server'sDataDir directory, but this location can be overridden using theLogDestination option. (Recall thatnode_id represents the unique identifier of the node whose activity is being logged.) The cluster log contains event reports generated byndbd. It is also possible to send cluster log entries to a Unix system log.

Some aspects of the cluster's operation can be also be monitored from an SQL node using theSHOW ENGINE NDB STATUS statement.

More detailed information about NDB Cluster operations is available in real time through an SQL interface using thendbinfo database. For more information, seeSection 25.6.17, “ndbinfo: The NDB Cluster Information Database”.

NDB statistics counters provide improved monitoring using themysql client. These counters, implemented in the NDB kernel, relate to operations performed by or affectingNdb objects, such as starting, closing, and aborting transactions; primary key and unique key operations; table, range, and pruned scans; blocked threads waiting for various operations to complete; and data and events sent and received by NDB Cluster. The counters are incremented by the NDB kernel whenever NDB API calls are made or data is sent to or received by the data nodes.

mysqld exposes the NDB API statistics counters as system status variables, which can be identified from the prefix common to all of their names (Ndb_api_). The values of these variables can be read in themysql client from the output of aSHOW STATUS statement, or by querying either the Performance Schemasession_status orglobal_status table. By comparing the values of the status variables before and after the execution of an SQL statement that acts onNDB tables, you can observe the actions taken on the NDB API level that correspond to this statement, which can be beneficial for monitoring and performance tuning of NDB Cluster.

MySQL Cluster Manager provides an advanced command-line interface that simplifies many otherwise complex NDB Cluster management tasks, such as starting, stopping, or restarting an NDB Cluster with a large number of nodes. The MySQL Cluster Manager client also supports commands for getting and setting the values of most node configuration parameters as well asmysqld server options and variables relating to NDB Cluster. SeeMySQL Cluster Manager 9.1.0 User Manual, for more information.