21.6 Management of NDB Cluster

21.6.1 Commands in the NDB Cluster Management Client

21.6.2 NDB Cluster Log Messages

21.6.3 Event Reports Generated in NDB Cluster

21.6.4 Summary of NDB Cluster Start Phases

21.6.5 Performing a Rolling Restart of an NDB Cluster

21.6.6 NDB Cluster Single User Mode

21.6.7 Adding NDB Cluster Data Nodes Online

21.6.8 Online Backup of NDB Cluster

21.6.9 Importing Data Into MySQL Cluster

21.6.10 MySQL Server Usage for NDB Cluster

21.6.11 NDB Cluster Disk Data Tables

21.6.12 Online Operations with ALTER TABLE in NDB Cluster

21.6.13 Distributed Privileges Using Shared Grant Tables

21.6.14 NDB API Statistics Counters and Variables

21.6.15 ndbinfo: The NDB Cluster Information Database

21.6.16 INFORMATION_SCHEMA Tables for NDB Cluster

21.6.17 Quick Reference: NDB Cluster SQL Statements

21.6.18 NDB Cluster Security Issues

Managing an NDB Cluster involves a number of tasks, the first of which is to configure and start NDB Cluster. This is covered in Section 21.4, “Configuration of NDB Cluster”, and Section 21.5, “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, see Section 21.6.18, “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 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.

More detailed information about NDB Cluster operations is available in real time through an SQL interface using the ndbinfo database. For more information, see Section 21.6.15, “ndbinfo: The NDB Cluster Information Database”.

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 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 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 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 as mysqld server options and variables relating to NDB Cluster. See MySQL Cluster Manager 1.4.8 User Manual, for more information.