17.5 Management of MySQL Cluster

17.5.1 Summary of MySQL Cluster Start Phases
17.5.2 Commands in the MySQL Cluster Management Client
17.5.3 Online Backup of MySQL Cluster
17.5.4 MySQL Server Usage for MySQL Cluster
17.5.5 Performing a Rolling Restart of a MySQL Cluster
17.5.6 Event Reports Generated in MySQL Cluster
17.5.7 MySQL Cluster Log Messages
17.5.8 MySQL Cluster Single User Mode
17.5.9 Quick Reference: MySQL Cluster SQL Statements
17.5.10 The ndbinfo MySQL Cluster Information Database
17.5.11 MySQL Cluster Security Issues
17.5.12 MySQL Cluster Disk Data Tables
17.5.13 Adding MySQL Cluster Data Nodes Online
17.5.14 Distributed MySQL Privileges for MySQL Cluster
17.5.15 NDB API Statistics Counters and Variables

Managing a MySQL Cluster involves a number of tasks, the first of which is to configure and start MySQL Cluster. This is covered in Section 17.3, “Configuration of MySQL Cluster NDB 6.1-7.1”, and Section 17.4, “MySQL Cluster Programs”.

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

For information about security issues relating to management and deployment of a MySQL Cluster, see Section 17.5.11, “MySQL Cluster Security Issues”.

There are essentially two methods of actively managing a running MySQL 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 log ndb_node_id_cluster.log; this is usually found in the management server's DataDir directory, but this location can be overridden using the LogDestination option. (Recall that node_id represents the unique identifier of the node whose activity is being logged.) The cluster log contains event reports generated by ndbd. 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 the SHOW ENGINE NDB STATUS statement.

In MySQL Cluster NDB 7.1.1 and later, detailed information about cluster operations is available in real time through an SQL interface using the ndbinfo database. For more information, see Section 17.5.10, “The ndbinfo MySQL Cluster Information Database”.

Beginning with MySQL Cluster NDB 7.0.22 and MySQL Cluster NDB 7.1.11, NDB statistics counters provide improved monitoring using the mysql client. These counters, implemented in the NDB kernel, relate to operations performed by or affecting Ndb 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 MySQL 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 the mysql client from the output of a SHOW STATUS statement, or by querying either the SESSION_STATUS table or the GLOBAL_STATUS table (in the INFORMATION_SCHEMA database). By comparing the values of the status variables before and after the execution of an SQL statement that acts on NDB 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 MySQL Cluster.

MySQL Cluster Manager provides an advanced command-line interface that simplifies many otherwise complex MySQL Cluster management tasks, such as starting, stopping, or restarting a MySQL 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 as mysqld server options and variables relating to MySQL Cluster. See MySQL™ Cluster Manager 1.3.6 User Manual, for more information.