Table of Contents
This chapter contains information about
MySQL Cluster, which is a
high-availability, high-redundancy version of MySQL adapted for the
distributed computing environment. Recent MySQL Cluster release
series use version 7 of the NDB
storage
engine (also known as NDBCLUSTER
) to
enable running several computers with MySQL servers and other
software in a cluster. MySQL Cluster NDB 7.5, now available as a
Developer Milestone release, incorporates version 7.5 of the
NDB
storage engine. The latest releases available
for production, MySQL Cluster NDB 7.3 and MySQL Cluster NDB 7.4,
incorporate NDB
versions 7.3 and 7.4,
respectively.
Support for the NDB
storage engine is
not included in standard MySQL Server 5.7 binaries built by Oracle.
Instead, users of MySQL Cluster binaries from Oracle should upgrade
to the most recent binary release of MySQL Cluster for supported
platforms—these include RPMs that should work with most Linux
distributions. MySQL Cluster users who build from source should use
the sources provided for MySQL Cluster. (Locations where the sources
can be obtained are listed later in this section.)
This chapter contains information about MySQL Cluster NDB 7.5 releases through 5.7.11-ndb-7.5.2. MySQL Cluster NDB 7.5 is currently available as a Developer Milestone release. The MySQL Cluster NDB 7.4 and MySQL Cluster NDB 7.3 release series are Generally Available (GA). MySQL Cluster NDB 7.2 is a previous GA release series which is still available. We currently recommend that new deployments for production use MySQL Cluster NDB 7.4. For more information about MySQL Cluster NDB 7.4 and MySQL Cluster NDB 7.3, see MySQL Cluster NDB 7.3 and MySQL Cluster NDB 7.4. For information about MySQL Cluster NDB 7.2, see MySQL Cluster NDB 7.2.
Supported Platforms. MySQL Cluster is currently available and supported on a number of platforms. For exact levels of support available for on specific combinations of operating system versions, operating system distributions, and hardware platforms, please refer to http://www.mysql.com/support/supportedplatforms/cluster.html.
Availability. MySQL Cluster binary and source packages are available for supported platforms from http://dev.mysql.com/downloads/cluster/.
MySQL Cluster release numbers.
MySQL Cluster follows a somewhat different release pattern from
the mainline MySQL Server 5.7 series of releases. In this
Manual and other MySQL documentation, we
identify these and later MySQL Cluster releases employing a
version number that begins with “NDB”. This version
number is that of the NDBCLUSTER
storage engine used in the release, and not of the MySQL server
version on which the MySQL Cluster release is based.
Version strings used in MySQL Cluster software. The version string displayed by MySQL Cluster programs uses this format:
mysql-mysql_server_version
-ndb-ndb_engine_version
mysql_server_version
represents the
version of the MySQL Server on which the MySQL Cluster release is
based. For all MySQL Cluster NDB 7.5 releases, this is
“5.7”. ndb_engine_version
is
the version of the NDB
storage engine
used by this release of the MySQL Cluster software. You can see this
format used in the mysql client, as shown here:
shell>mysql
Welcome to the MySQL monitor. Commands end with ; or \g. Your MySQL connection id is 2 Server version: 5.7.11-ndb-7.5.2 Source distribution Type 'help;' or '\h' for help. Type '\c' to clear the buffer. mysql>SELECT VERSION()\G
*************************** 1. row *************************** VERSION(): 5.7.11-ndb-7.5.2 1 row in set (0.00 sec)
This version string is also displayed in the output of the
SHOW
command in the ndb_mgm
client:
ndb_mgm> SHOW
Connected to Management Server at: localhost:1186
Cluster Configuration
---------------------
[ndbd(NDB)] 2 node(s)
id=1 @10.0.10.6 (5.7.11-ndb-7.5.2, Nodegroup: 0, *)
id=2 @10.0.10.8 (5.7.11-ndb-7.5.2, Nodegroup: 0)
[ndb_mgmd(MGM)] 1 node(s)
id=3 @10.0.10.2 (5.7.11-ndb-7.5.2)
[mysqld(API)] 2 node(s)
id=4 @10.0.10.10 (5.7.11-ndb-7.5.2)
id=5 (not connected, accepting connect from any host)
The version string identifies the mainline MySQL version from which
the MySQL Cluster release was branched and the version of the
NDB
storage engine used. For example,
the full version string for MySQL Cluster NDB 7.4.4 (the first MySQL
Cluster NDB 7.4 GA release) was
mysql-5.6.23-ndb-7.4.4
. From this we can
determine the following:
Since the portion of the version string preceding
“-ndb-
” is the base MySQL Server
version, this means that MySQL Cluster NDB 7.4.4 derived from
MySQL 5.6.23, and contained all feature enhancements and bug
fixes from MySQL 5.6 up to and including MySQL 5.6.23.
Since the portion of the version string following
“-ndb-
” represents the version
number of the NDB
(or
NDBCLUSTER
) storage engine, MySQL
Cluster NDB 7.4.4 used version 7.4.4 of the
NDBCLUSTER
storage engine.
New MySQL Cluster releases are numbered according to updates in the
NDB
storage engine, and do not necessarily
correspond in a one-to-one fashion with mainline MySQL Server
releases. For example, MySQL Cluster NDB 7.4.4 (as previously noted)
was based on MySQL 5.6.23, while MySQL Cluster NDB 7.4.3 was based
on MySQL 5.6.22 (version string:
mysql-5.6.22-ndb-7.4.3
).
Compatibility with standard MySQL 5.7 releases.
While many standard MySQL schemas and applications can work using
MySQL Cluster, it is also true that unmodified applications and
database schemas may be slightly incompatible or have suboptimal
performance when run using MySQL Cluster (see
Section 18.1.6, “Known Limitations of MySQL Cluster”). Most of these issues
can be overcome, but this also means that you are very unlikely to
be able to switch an existing application datastore—that
currently uses, for example, MyISAM
or InnoDB
—to use the
NDB
storage engine without allowing
for the possibility of changes in schemas, queries, and
applications. In addition, the MySQL Server and MySQL Cluster
codebases diverge considerably, so that the standard
mysqld cannot function as a drop-in replacement
for the version of mysqld supplied with MySQL
Cluster.
MySQL Cluster development source trees. MySQL Cluster development trees can also be accessed from https://github.com/mysql/mysql-server.
The MySQL Cluster development sources maintained at https://github.com/mysql/mysql-server are licensed under the GPL. For information about obtaining MySQL sources using Bazaar and building them yourself, see Section 2.9.3, “Installing MySQL Using a Development Source Tree”.
As with MySQL Server 5.7, MySQL Cluster NDB 7.5 releases are built using CMake.
Currently, MySQL Cluster NDB 7.3 and MySQL Cluster NDB 7.4 releases are Generally Available (GA). We recommend that new deployments use MySQL Cluster NDB 7.4. MySQL Cluster NDB 7.1 and earlier versions are no longer in active development. For an overview of major features added in MySQL Cluster NDB 7.4, see What is New in MySQL Cluster NDB 7.4. For similar information about MySQL Cluster NDB 7.3, see What is New in MySQL Cluster NDB 7.3. For an overview of major features added in previous MySQL Cluster releases, see What is New in MySQL Cluster.
The contents of this chapter are subject to revision as MySQL Cluster continues to evolve. Additional information regarding MySQL Cluster can be found on the MySQL Web site at http://www.mysql.com/products/cluster/.
Additional Resources. More information about MySQL Cluster can be found in the following places:
For answers to some commonly asked questions about MySQL Cluster, see Section A.10, “MySQL 5.7 FAQ: MySQL Cluster”.
The MySQL Cluster mailing list: http://lists.mysql.com/cluster.
The MySQL Cluster Forum: http://forums.mysql.com/list.php?25.
Many MySQL Cluster users and developers blog about their experiences with MySQL Cluster, and make feeds of these available through PlanetMySQL.
MySQL Cluster is a technology that enables clustering of in-memory databases in a shared-nothing system. The shared-nothing architecture enables the system to work with very inexpensive hardware, and with a minimum of specific requirements for hardware or software.
MySQL Cluster is designed not to have any single point of failure. In a shared-nothing system, each component is expected to have its own memory and disk, and the use of shared storage mechanisms such as network shares, network file systems, and SANs is not recommended or supported.
MySQL Cluster integrates the standard MySQL server with an in-memory
clustered storage engine called NDB
(which stands for “Network
DataBase”). In our
documentation, the term NDB
refers to
the part of the setup that is specific to the storage engine,
whereas “MySQL Cluster” refers to the combination of
one or more MySQL servers with the NDB
storage engine.
A MySQL Cluster consists of a set of computers, known as hosts, each running one or more processes. These processes, known as nodes, may include MySQL servers (for access to NDB data), data nodes (for storage of the data), one or more management servers, and possibly other specialized data access programs. The relationship of these components in a MySQL Cluster is shown here:
All these programs work together to form a MySQL Cluster (see
Section 18.4, “MySQL Cluster Programs”. When data is stored by the
NDB
storage engine, the tables (and
table data) are stored in the data nodes. Such tables are directly
accessible from all other MySQL servers (SQL nodes) in the cluster.
Thus, in a payroll application storing data in a cluster, if one
application updates the salary of an employee, all other MySQL
servers that query this data can see this change immediately.
Although a MySQL Cluster SQL node uses the mysqld server daemon, it differs in a number of critical respects from the mysqld binary supplied with the MySQL 5.7 distributions, and the two versions of mysqld are not interchangeable.
In addition, a MySQL server that is not connected to a MySQL Cluster
cannot use the NDB
storage engine and
cannot access any MySQL Cluster data.
The data stored in the data nodes for MySQL Cluster can be mirrored; the cluster can handle failures of individual data nodes with no other impact than that a small number of transactions are aborted due to losing the transaction state. Because transactional applications are expected to handle transaction failure, this should not be a source of problems.
Individual nodes can be stopped and restarted, and can then rejoin the system (cluster). Rolling restarts (in which all nodes are restarted in turn) are used in making configuration changes and software upgrades (see Section 18.5.5, “Performing a Rolling Restart of a MySQL Cluster”). Rolling restarts are also used as part of the process of adding new data nodes online (see Section 18.5.14, “Adding MySQL Cluster Data Nodes Online”). For more information about data nodes, how they are organized in a MySQL Cluster, and how they handle and store MySQL Cluster data, see Section 18.1.2, “MySQL Cluster Nodes, Node Groups, Replicas, and Partitions”.
Backing up and restoring MySQL Cluster databases can be done using
the NDB
-native functionality found in the MySQL
Cluster management client and the ndb_restore
program included in the MySQL Cluster distribution. For more
information, see Section 18.5.3, “Online Backup of MySQL Cluster”, and
Section 18.4.20, “ndb_restore — Restore a MySQL Cluster Backup”. You can also
use the standard MySQL functionality provided for this purpose in
mysqldump and the MySQL server. See
Section 4.5.4, “mysqldump — A Database Backup Program”, for more information.
MySQL Cluster nodes can use a number of different transport mechanisms for inter-node communications, including TCP/IP using standard 100 Mbps or faster Ethernet hardware. It is also possible to use the high-speed Scalable Coherent Interface (SCI) protocol with MySQL Cluster, although this is not required to use MySQL Cluster. SCI requires special hardware and software; see Section 18.3.4, “Using High-Speed Interconnects with MySQL Cluster”, for more about SCI and using it with MySQL Cluster.
NDBCLUSTER
(also known as NDB
) is an in-memory
storage engine offering high-availability and data-persistence
features.
The NDBCLUSTER
storage engine can be
configured with a range of failover and load-balancing options,
but it is easiest to start with the storage engine at the cluster
level. MySQL Cluster's NDB
storage
engine contains a complete set of data, dependent only on other
data within the cluster itself.
The “Cluster” portion of MySQL Cluster is configured independently of the MySQL servers. In a MySQL Cluster, each part of the cluster is considered to be a node.
In many contexts, the term “node” is used to indicate a computer, but when discussing MySQL Cluster it means a process. It is possible to run multiple nodes on a single computer; for a computer on which one or more cluster nodes are being run we use the term cluster host.
There are three types of cluster nodes, and in a minimal MySQL Cluster configuration, there will be at least three nodes, one of each of these types:
Management node: The role of this type of node is to manage the other nodes within the MySQL Cluster, performing such functions as providing configuration data, starting and stopping nodes, running backup, and so forth. Because this node type manages the configuration of the other nodes, a node of this type should be started first, before any other node. An MGM node is started with the command ndb_mgmd.
Data node: This type of node stores cluster data. There are as many data nodes as there are replicas, times the number of fragments (see Section 18.1.2, “MySQL Cluster Nodes, Node Groups, Replicas, and Partitions”). For example, with two replicas, each having two fragments, you need four data nodes. One replica is sufficient for data storage, but provides no redundancy; therefore, it is recommended to have 2 (or more) replicas to provide redundancy, and thus high availability. A data node is started with the command ndbd (see Section 18.4.1, “ndbd — The MySQL Cluster Data Node Daemon”) or ndbmtd (see Section 18.4.3, “ndbmtd — The MySQL Cluster Data Node Daemon (Multi-Threaded)”).
MySQL Cluster tables are normally stored completely in memory rather than on disk (this is why we refer to MySQL Cluster as an in-memory database). However, some MySQL Cluster data can be stored on disk; see Section 18.5.13, “MySQL Cluster Disk Data Tables”, for more information.
SQL node: This is a node
that accesses the cluster data. In the case of MySQL Cluster,
an SQL node is a traditional MySQL server that uses the
NDBCLUSTER
storage engine. An SQL
node is a mysqld process started with the
--ndbcluster
and
--ndb-connectstring
options, which are
explained elsewhere in this chapter, possibly with additional
MySQL server options as well.
An SQL node is actually just a specialized type of API node, which designates any application which accesses MySQL Cluster data. Another example of an API node is the ndb_restore utility that is used to restore a cluster backup. It is possible to write such applications using the NDB API. For basic information about the NDB API, see Getting Started with the NDB API.
It is not realistic to expect to employ a three-node setup in a production environment. Such a configuration provides no redundancy; to benefit from MySQL Cluster's high-availability features, you must use multiple data and SQL nodes. The use of multiple management nodes is also highly recommended.
For a brief introduction to the relationships between nodes, node groups, replicas, and partitions in MySQL Cluster, see Section 18.1.2, “MySQL Cluster Nodes, Node Groups, Replicas, and Partitions”.
Configuration of a cluster involves configuring each individual node in the cluster and setting up individual communication links between nodes. MySQL Cluster is currently designed with the intention that data nodes are homogeneous in terms of processor power, memory space, and bandwidth. In addition, to provide a single point of configuration, all configuration data for the cluster as a whole is located in one configuration file.
The management server manages the cluster configuration file and the cluster log. Each node in the cluster retrieves the configuration data from the management server, and so requires a way to determine where the management server resides. When interesting events occur in the data nodes, the nodes transfer information about these events to the management server, which then writes the information to the cluster log.
In addition, there can be any number of cluster client processes
or applications. These include standard MySQL clients,
NDB
-specific API programs, and management
clients. These are described in the next few paragraphs.
Standard MySQL clients. MySQL Cluster can be used with existing MySQL applications written in PHP, Perl, C, C++, Java, Python, Ruby, and so on. Such client applications send SQL statements to and receive responses from MySQL servers acting as MySQL Cluster SQL nodes in much the same way that they interact with standalone MySQL servers.
MySQL clients using a MySQL Cluster as a data source can be
modified to take advantage of the ability to connect with multiple
MySQL servers to achieve load balancing and failover. For example,
Java clients using Connector/J 5.0.6 and later can use
jdbc:mysql:loadbalance://
URLs (improved in
Connector/J 5.1.7) to achieve load balancing transparently; for
more information about using Connector/J with MySQL Cluster, see
Using Connector/J with MySQL Cluster.
NDB client programs.
Client programs can be written that access MySQL Cluster data
directly from the NDBCLUSTER
storage engine,
bypassing any MySQL Servers that may be connected to the
cluster, using the NDB
API, a high-level C++ API. Such applications may be
useful for specialized purposes where an SQL interface to the
data is not needed. For more information, see
The NDB API.
NDB
-specific Java applications can also be
written for MySQL Cluster using the
MySQL Cluster Connector for
Java. This MySQL Cluster Connector includes
ClusterJ, a high-level
database API similar to object-relational mapping persistence
frameworks such as Hibernate and JPA that connect directly to
NDBCLUSTER
, and so does not require access to a
MySQL Server. Support is also provided in MySQL Cluster
ClusterJPA, an OpenJPA
implementation for MySQL Cluster that leverages the strengths of
ClusterJ and JDBC; ID lookups and other fast operations are
performed using ClusterJ (bypassing the MySQL Server), while more
complex queries that can benefit from MySQL's query optimizer
are sent through the MySQL Server, using JDBC. See
Java and MySQL Cluster, and
The ClusterJ API and Data Object Model, for more
information.
MySQL Cluster also supports applications written in JavaScript
using Node.js. The MySQL Connector for JavaScript includes
adapters for direct access to the NDB
storage
engine and as well as for the MySQL Server. Applications using
this Connector are typically event-driven and use a domain object
model similar in many ways to that employed by ClusterJ. For more
information, see MySQL NoSQL Connector for JavaScript.
The Memcache API for MySQL Cluster, implemented as the loadable ndbmemcache storage engine for memcached version 1.6 and later, can be used to provide a persistent MySQL Cluster data store, accessed using the memcache protocol.
The standard memcached caching engine is included in the MySQL Cluster NDB 7.5 distribution. Each memcached server has direct access to data stored in MySQL Cluster, but is also able to cache data locally and to serve (some) requests from this local cache.
For more information, see ndbmemcache—Memcache API for MySQL Cluster.
Management clients. These clients connect to the management server and provide commands for starting and stopping nodes gracefully, starting and stopping message tracing (debug versions only), showing node versions and status, starting and stopping backups, and so on. An example of this type of program is the ndb_mgm management client supplied with MySQL Cluster (see Section 18.4.5, “ndb_mgm — The MySQL Cluster Management Client”). Such applications can be written using the MGM API, a C-language API that communicates directly with one or more MySQL Cluster management servers. For more information, see The MGM API.
Oracle also makes available MySQL Cluster Manager, which provides an advanced command-line interface simplifying many complex MySQL Cluster management tasks, such 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 1.4.0 User Manual, for more information.
Event logs. MySQL Cluster logs events by category (startup, shutdown, errors, checkpoints, and so on), priority, and severity. A complete listing of all reportable events may be found in Section 18.5.6, “Event Reports Generated in MySQL Cluster”. Event logs are of the two types listed here:
Cluster log: Keeps a record of all desired reportable events for the cluster as a whole.
Node log: A separate log which is also kept for each individual node.
Under normal circumstances, it is necessary and sufficient to keep and examine only the cluster log. The node logs need be consulted only for application development and debugging purposes.
Checkpoint.
Generally speaking, when data is saved to disk, it is said that
a checkpoint has been
reached. More specific to MySQL Cluster, a checkpoint is a point
in time where all committed transactions are stored on disk.
With regard to the NDB
storage
engine, there are two types of checkpoints which work together
to ensure that a consistent view of the cluster's data is
maintained. These are shown in the following list:
Local Checkpoint (LCP): This is a checkpoint that is specific to a single node; however, LCPs take place for all nodes in the cluster more or less concurrently. An LCP involves saving all of a node's data to disk, and so usually occurs every few minutes. The precise interval varies, and depends upon the amount of data stored by the node, the level of cluster activity, and other factors.
Global Checkpoint (GCP): A GCP occurs every few seconds, when transactions for all nodes are synchronized and the redo-log is flushed to disk.
For more information about the files and directories created by local checkpoints and global checkpoints, see MySQL Cluster Data Node File System Directory Files.
This section discusses the manner in which MySQL Cluster divides and duplicates data for storage.
A number of concepts central to an understanding of this topic are discussed in the next few paragraphs.
(Data) Node. An ndbd process, which stores a replica —that is, a copy of the partition (see below) assigned to the node group of which the node is a member.
Each data node should be located on a separate computer. While it is also possible to host multiple ndbd processes on a single computer, such a configuration is not supported.
It is common for the terms “node” and “data node” to be used interchangeably when referring to an ndbd process; where mentioned, management nodes (ndb_mgmd processes) and SQL nodes (mysqld processes) are specified as such in this discussion.
Node Group. A node group consists of one or more nodes, and stores partitions, or sets of replicas (see next item).
The number of node groups in a MySQL Cluster is not directly
configurable; it is a function of the number of data nodes and of
the number of replicas
(NoOfReplicas
configuration parameter), as shown here:
[number_of_node_groups
] =number_of_data_nodes
/NoOfReplicas
Thus, a MySQL Cluster with 4 data nodes has 4 node groups if
NoOfReplicas
is set to 1
in the config.ini
file, 2 node groups if
NoOfReplicas
is set to 2,
and 1 node group if
NoOfReplicas
is set to 4.
Replicas are discussed later in this section; for more information
about NoOfReplicas
, see
Section 18.3.3.6, “Defining MySQL Cluster Data Nodes”.
All node groups in a MySQL Cluster must have the same number of data nodes.
You can add new node groups (and thus new data nodes) online, to a running MySQL Cluster; see Section 18.5.14, “Adding MySQL Cluster Data Nodes Online”, for more information.
Partition. This is a portion of the data stored by the cluster. There are as many cluster partitions as nodes participating in the cluster. Each node is responsible for keeping at least one copy of any partitions assigned to it (that is, at least one replica) available to the cluster.
A replica belongs entirely to a single node; a node can (and usually does) store several replicas.
NDB and user-defined partitioning.
MySQL Cluster normally partitions
NDBCLUSTER
tables automatically.
However, it is also possible to employ user-defined partitioning
with NDBCLUSTER
tables. This is
subject to the following limitations:
Only the KEY
and LINEAR
KEY
partitioning schemes are supported in production
with NDB
tables.
When using ndbd, the maximum number of
partitions that may be defined explicitly for any
NDB
table is 8 *
[
.
(The number of node groups in a MySQL Cluster is determined as
discussed previously in this section.)
number of node groups
]
When using ndbmtd, this maximum is also
affected by the number of local query handler threads, which
is determined by the value of the
MaxNoOfExecutionThreads
configuration parameter. In such cases, the maximum number of
partitions that may be defined explicitly for an
NDB
table is equal to 4
* MaxNoOfExecutionThreads * [
.
number of node
groups
]
See Section 18.4.3, “ndbmtd — The MySQL Cluster Data Node Daemon (Multi-Threaded)”, for more information.
For more information relating to MySQL Cluster and user-defined partitioning, see Section 18.1.6, “Known Limitations of MySQL Cluster”, and Section 19.6.2, “Partitioning Limitations Relating to Storage Engines”.
Replica. This is a copy of a cluster partition. Each node in a node group stores a replica. Also sometimes known as a partition replica. The number of replicas is equal to the number of nodes per node group.
The following diagram illustrates a MySQL Cluster with four data nodes, arranged in two node groups of two nodes each; nodes 1 and 2 belong to node group 0, and nodes 3 and 4 belong to node group 1.
Only data (ndbd) nodes are shown here; although a working cluster requires an ndb_mgm process for cluster management and at least one SQL node to access the data stored by the cluster, these have been omitted in the figure for clarity.
The data stored by the cluster is divided into four partitions, numbered 0, 1, 2, and 3. Each partition is stored—in multiple copies—on the same node group. Partitions are stored on alternate node groups as follows:
Partition 0 is stored on node group 0; a primary replica (primary copy) is stored on node 1, and a backup replica (backup copy of the partition) is stored on node 2.
Partition 1 is stored on the other node group (node group 1); this partition's primary replica is on node 3, and its backup replica is on node 4.
Partition 2 is stored on node group 0. However, the placing of its two replicas is reversed from that of Partition 0; for Partition 2, the primary replica is stored on node 2, and the backup on node 1.
Partition 3 is stored on node group 1, and the placement of its two replicas are reversed from those of partition 1. That is, its primary replica is located on node 4, with the backup on node 3.
What this means regarding the continued operation of a MySQL Cluster is this: so long as each node group participating in the cluster has at least one node operating, the cluster has a complete copy of all data and remains viable. This is illustrated in the next diagram.
In this example, where the cluster consists of two node groups of two nodes each, any combination of at least one node in node group 0 and at least one node in node group 1 is sufficient to keep the cluster “alive” (indicated by arrows in the diagram). However, if both nodes from either node group fail, the remaining two nodes are not sufficient (shown by the arrows marked out with an X); in either case, the cluster has lost an entire partition and so can no longer provide access to a complete set of all cluster data.
One of the strengths of MySQL Cluster is that it can be run on commodity hardware and has no unusual requirements in this regard, other than for large amounts of RAM, due to the fact that all live data storage is done in memory. (It is possible to reduce this requirement using Disk Data tables—see Section 18.5.13, “MySQL Cluster Disk Data Tables”, for more information about these.) Naturally, multiple and faster CPUs can enhance performance. Memory requirements for other MySQL Cluster processes are relatively small.
The software requirements for MySQL Cluster are also modest. Host operating systems do not require any unusual modules, services, applications, or configuration to support MySQL Cluster. For supported operating systems, a standard installation should be sufficient. The MySQL software requirements are simple: all that is needed is a production release of MySQL Cluster. It is not strictly necessary to compile MySQL yourself merely to be able to use MySQL Cluster. We assume that you are using the binaries appropriate to your platform, available from the MySQL Cluster software downloads page at http://dev.mysql.com/downloads/cluster/.
For communication between nodes, MySQL Cluster supports TCP/IP networking in any standard topology, and the minimum expected for each host is a standard 100 Mbps Ethernet card, plus a switch, hub, or router to provide network connectivity for the cluster as a whole. We strongly recommend that a MySQL Cluster be run on its own subnet which is not shared with machines not forming part of the cluster for the following reasons:
Security. Communications between MySQL Cluster nodes are not encrypted or shielded in any way. The only means of protecting transmissions within a MySQL Cluster is to run your MySQL Cluster on a protected network. If you intend to use MySQL Cluster for Web applications, the cluster should definitely reside behind your firewall and not in your network's De-Militarized Zone (DMZ) or elsewhere.
See Section 18.5.12.1, “MySQL Cluster Security and Networking Issues”, for more information.
Efficiency. Setting up a MySQL Cluster on a private or protected network enables the cluster to make exclusive use of bandwidth between cluster hosts. Using a separate switch for your MySQL Cluster not only helps protect against unauthorized access to MySQL Cluster data, it also ensures that MySQL Cluster nodes are shielded from interference caused by transmissions between other computers on the network. For enhanced reliability, you can use dual switches and dual cards to remove the network as a single point of failure; many device drivers support failover for such communication links.
Network communication and latency. MySQL Cluster requires communication between data nodes and API nodes (including SQL nodes), as well as between data nodes and other data nodes, to execute queries and updates. Communication latency between these processes can directly affect the observed performance and latency of user queries. In addition, to maintain consistency and service despite the silent failure of nodes, MySQL Cluster uses heartbeating and timeout mechanisms which treat an extended loss of communication from a node as node failure. This can lead to reduced redundancy. Recall that, to maintain data consistency, a MySQL Cluster shuts down when the last node in a node group fails. Thus, to avoid increasing the risk of a forced shutdown, breaks in communication between nodes should be avoided wherever possible.
The failure of a data or API node results in the abort of all uncommitted transactions involving the failed node. Data node recovery requires synchronization of the failed node's data from a surviving data node, and re-establishment of disk-based redo and checkpoint logs, before the data node returns to service. This recovery can take some time, during which the Cluster operates with reduced redundancy.
Heartbeating relies on timely generation of heartbeat signals by all nodes. This may not be possible if the node is overloaded, has insufficient machine CPU due to sharing with other programs, or is experiencing delays due to swapping. If heartbeat generation is sufficiently delayed, other nodes treat the node that is slow to respond as failed.
This treatment of a slow node as a failed one may or may not be
desirable in some circumstances, depending on the impact of the
node's slowed operation on the rest of the cluster. When
setting timeout values such as
HeartbeatIntervalDbDb
and
HeartbeatIntervalDbApi
for
MySQL Cluster, care must be taken care to achieve quick detection,
failover, and return to service, while avoiding potentially
expensive false positives.
Where communication latencies between data nodes are expected to be higher than would be expected in a LAN environment (on the order of 100 µs), timeout parameters must be increased to ensure that any allowed periods of latency periods are well within configured timeouts. Increasing timeouts in this way has a corresponding effect on the worst-case time to detect failure and therefore time to service recovery.
LAN environments can typically be configured with stable low latency, and such that they can provide redundancy with fast failover. Individual link failures can be recovered from with minimal and controlled latency visible at the TCP level (where MySQL Cluster normally operates). WAN environments may offer a range of latencies, as well as redundancy with slower failover times. Individual link failures may require route changes to propagate before end-to-end connectivity is restored. At the TCP level this can appear as large latencies on individual channels. The worst-case observed TCP latency in these scenarios is related to the worst-case time for the IP layer to reroute around the failures.
SCI support. It is also possible to use the high-speed Scalable Coherent Interface (SCI) with MySQL Cluster, but this is not a requirement. See Section 18.3.4, “Using High-Speed Interconnects with MySQL Cluster”, for more about this protocol and its use with MySQL Cluster.
In this section, we describe changes in the implementation of MySQL Cluster in MySQL MySQL Cluster NDB 7.5 as compared to MySQL Cluster NDB 7.4 and earlier release series. Changes and features most likely to be of interest are shown in the following list:
ndbinfo Enhancements.
A number of changes are made in the
ndbinfo
database, chief of
which is that it now provides detailed information about
MySQL Cluster node configuration parameters.
The config_params
table has
been made read-only, and has been enhanced with additional
columns providing information about each configuration
parameter, including the parameter's type, default value,
maximum and minimum values (where applicable), a brief
description of the parameter, and whether the parameter is
required. This table also provides each parameter with a
unique param_number
.
A row in the config_values
table shows the current value of a given parameter on the node
having a specified ID. The parameter is identified by the
value of the config_param
column, which
maps to the config_params
table's
param_number
.
Using this relationship you can write a join on these two tables to obtain the default, maximum, minimum, and current values for one or more MySQL Cluster configuration parameters by name. An example SQL statement using such a join is shown here:
SELECT p.param_name AS Name, v.node_id AS Node, p.param_type AS Type, p.param_default AS 'Default', p.param_min AS Minimum, p.param_max AS Maximum, CASE p.param_mandatory WHEN 1 THEN 'Y' ELSE 'N' END AS 'Required', v.config_value AS Current FROM config_params p JOIN config_values v ON p.param_number = v.config_param WHERE p. param_name IN ('NodeId', 'HostName','DataMemory', 'IndexMemory');
For more information these changes, see Section 18.5.10.6, “The ndbinfo config_params Table”. See Section 18.5.10.7, “The ndbinfo config_values Table”, for further information and examples.
In addition, the ndbinfo database no longer depends on the
MyISAM storage engine. All ndbinfo
tables
and views now use NDB
(shown as
NDBINFO
).
ALTER TABLE Changes.
MySQL Cluster formerly supported an alternative syntax for
online ALTER TABLE
. This is
no longer supported in MySQL Cluster NDB 7.5, which makes
exclusive use of ALGORITHM =
DEFAULT|COPY|INPLACE
for table DDL, as in the
standard MySQL Server.
Another change affecting the use of this statement is that
ALTER TABLE ... ALGORITHM=INPLACE RENAME
may now contain DDL operations in addition to the renaming.
ExecuteOnComputer Parameter Deprecated.
The ExecuteOnComputer
configuration
parameter for
management
nodes,
data
nodes, and
API
nodes has been deprecated and is now subject to
removal in a future release of MySQL Cluster. You should use
the equivalent HostName
parameter for all
three types of nodes.
records-per-key Optimization. The NDB handler now uses the records-per-key interface for index statistics implemented for the optimizer in MySQL 5.7.5. Some of the benefits from this change include those listed here:
The optimizer now chooses better execution plans in many cases where a less optimal join index or table join order would previously have been chosen
Row estimates shown by
EXPLAIN
are more accurate
Cardinality estimates shown by SHOW
INDEX
are improved
Connection Pool Node IDs.
MySQL Cluster NDB 7.5.0 adds the mysqld
--ndb-cluster-connection-pool-nodeids
option, which allows a set of node IDs to be set for the
connection pool. This setting overrides
--ndb-nodeid
, which means
that it also overrides both the
--ndb-connectstring
option
and the NDB_CONNECTSTRING
environment
variable.
You can set the size for the connection pool using the
--ndb-cluster-connection-pool
option for mysqld.
create_old_temporals Removed.
The create_old_temporals
system variable
was deprecated in MySQL Cluster NDB 7.4, and has now been
removed.
ndb_mgm Client PROMPT Command.
MySQL Cluster NDB 7.5 adds a new command for setting the
client's command-line prompt. The following example
illustrates the use of the PROMPT
command:
ndb_mgm>PROMPT mgm#1:
mgm#1:SHOW
Cluster Configuration --------------------- [ndbd(NDB)] 4 node(s) id=5 @10.100.1.1 (mysql-5.7.11-ndb-7.5.2, Nodegroup: 0, *) id=6 @10.100.1.3 (mysql-5.7.11-ndb-7.5.2, Nodegroup: 0) id=7 @10.100.1.9 (mysql-5.7.11-ndb-7.5.2, Nodegroup: 1) id=8 @10.100.1.11 (mysql-5.7.11-ndb-7.5.2, Nodegroup: 1) [ndb_mgmd(MGM)] 1 node(s) id=50 @10.100.1.8 (mysql-5.7.11-ndb-7.5.2) [mysqld(API)] 2 node(s) id=100 @10.100.1.8 (5.7.11-ndb-7.5.2) id=101 @10.100.1.10 (5.7.11-ndb-7.5.2) mgm#1:PROMPT
ndb_mgm>EXIT
jon@valhaj:/usr/local/mysql/bin>
For additional information and examples, see Section 18.5.2, “Commands in the MySQL Cluster Management Client”.
Deprecated Parameters Removed. The following MySQL Cluster data node configuration parameters were deprecated in previous releases of MySQL Cluster, and were removed in MySQL Cluster NDB 7.5.0:
Id
: deprecated in NDB 7.1.9; replaced
by NodeId
.
NoOfDiskPagesToDiskDuringRestartTUP
,
NoOfDiskPagesToDiskDuringRestartACC
:
both deprecated, had no effect; replaced in MySQL 5.1.6 by
DiskCheckpointSpeedInRestart
, which
itself was later deprecated (in NDB 7.4.1) and is now also
removed.
NoOfDiskPagesToDiskAfterRestartACC
,
NoOfDiskPagesToDiskAfterRestartTUP
:
both deprecated, had no effect; replaced in MySQL 5.1.6 by
DiskCheckpointSpeed
, which itself was
later deprecated (in NDB 7.4.1) and is now also removed.
ReservedSendBufferMemory
: deprecated in
NDB 7.2.5; no longer had any effect.
MaxNoOfIndexes
: archaic (pre-MySQL
4.1), had no effect; long since replaced by
MaxNoOfOrderedIndexes
or
MaxNoOfUniqueHashIndexes
.
Discless
: archaic (pre-MySQL 4.1)
synonym for and long since replaced by
Diskless
.
The archaic and unused (and for this reason also previously
undocumented) ByteOrder
computer
configuration parameter was also removed in MySQL Cluster NDB
7.5.0.
The parameters just described are not supported in MySQL Cluster NDB 7.5. Attempting to use any of these parameters in a MySQL Cluster configuration file now results in an error.
DBTC Scan Enhancements.
Scans have been improved by reducing the number of signals
used for communication between the DBTC
and DBDIH
kernel blocks in
NDB
, enabling higher
scalability of data nodes when used for scan operations by
decreasing the use of CPU resources for scan operations, in
some cases by an estimated five percent.
Also as result of these changes response times should be
greatly improved, which could help prevent issues with
overload of the main threads. In addition, scans made in the
BACKUP
kernel block have also been improved
and made more efficient than in previous releases.
MySQL Server offers a number of choices in storage engines. Since
both NDB
and
InnoDB
can serve as transactional
MySQL storage engines, users of MySQL Server sometimes become
interested in MySQL Cluster. They see
NDB
as a possible alternative or
upgrade to the default InnoDB
storage
engine in MySQL 5.7. While NDB
and
InnoDB
share common characteristics,
there are differences in architecture and implementation, so that
some existing MySQL Server applications and usage scenarios can be
a good fit for MySQL Cluster, but not all of them.
In this section, we discuss and compare some characteristics of
the NDB
storage engine used by MySQL
Cluster NDB 7.5 with InnoDB
used in
MySQL 5.7. The next few sections provide a technical comparison.
In many instances, decisions about when and where to use MySQL
Cluster must be made on a case-by-case basis, taking all factors
into consideration. While it is beyond the scope of this
documentation to provide specifics for every conceivable usage
scenario, we also attempt to offer some very general guidance on
the relative suitability of some common types of applications for
NDB
as opposed to
InnoDB
backends.
MySQL Cluster NDB 7.5 uses a mysqld based on
MySQL 5.7, including support for
InnoDB
1.1. While it is possible to
use InnoDB
tables with MySQL Cluster, such
tables are not clustered. It is also not possible to use programs
or libraries from a MySQL Cluster NDB 7.5 distribution with MySQL
Server 5.7, or the reverse.
While it is also true that some types of common business
applications can be run either on MySQL Cluster or on MySQL Server
(most likely using the InnoDB
storage
engine), there are some important architectural and implementation
differences. Section 18.1.5.1, “Differences Between the NDB and InnoDB Storage Engines”,
provides a summary of the these differences. Due to the
differences, some usage scenarios are clearly more suitable for
one engine or the other; see
Section 18.1.5.2, “NDB and InnoDB Workloads”. This in turn
has an impact on the types of applications that better suited for
use with NDB
or
InnoDB
. See
Section 18.1.5.3, “NDB and InnoDB Feature Usage Summary”, for a comparison
of the relative suitability of each for use in common types of
database applications.
For information about the relative characteristics of the
NDB
and
MEMORY
storage engines, see
When to Use MEMORY or MySQL Cluster.
See Chapter 15, Alternative Storage Engines, for additional information about MySQL storage engines.
The MySQL Cluster NDB
storage
engine is implemented using a distributed, shared-nothing
architecture, which causes it to behave differently from
InnoDB
in a number of ways. For
those unaccustomed to working with
NDB
, unexpected behaviors can arise
due to its distributed nature with regard to transactions,
foreign keys, table limits, and other characteristics. These are
shown in the following table:
Feature |
|
MySQL Cluster |
---|---|---|
MySQL Server Version | 5.7 | 5.7 |
|
|
|
MySQL Cluster Version | N/A |
|
Storage Limits | 64TB | 3TB (Practical upper limit based on 48 data nodes with 64GB RAM each; can be increased with disk-based data and BLOBs) |
Foreign Keys | Yes | Yes. |
Transactions | All standard types | |
MVCC | Yes | No |
Data Compression | Yes | No (MySQL Cluster checkpoint and backup files can be compressed) |
Large Row Support (> 14K) |
Supported for (Using these types to store very large amounts of data can lower MySQL Cluster performance) | |
Replication Support | Asynchronous and semisynchronous replication using MySQL Replication | Automatic synchronous replication within a MySQL Cluster. Asynchronous replication between MySQL Clusters, using MySQL Replication |
Scaleout for Read Operations | Yes (MySQL Replication) | Yes (Automatic partitioning in MySQL Cluster; MySQL Cluster Replication) |
Scaleout for Write Operations | Requires application-level partitioning (sharding) | Yes (Automatic partitioning in MySQL Cluster is transparent to applications) |
High Availability (HA) | Requires additional software | Yes (Designed for 99.999% uptime) |
Node Failure Recovery and Failover | Requires additional software | Automatic (Key element in MySQL Cluster architecture) |
Time for Node Failure Recovery | 30 seconds or longer | Typically < 1 second |
Real-Time Performance | No | Yes |
In-Memory Tables | No | Yes (Some data can optionally be stored on disk; both in-memory and disk data storage are durable) |
NoSQL Access to Storage Engine | Yes | Yes Multiple APIs, including Memcached, Node.js/JavaScript, Java, JPA, C++, and HTTP/REST |
Concurrent and Parallel Writes | Not supported | Up to 48 writers, optimized for concurrent writes |
Conflict Detection and Resolution (Multiple Replication Masters) | No | Yes |
Hash Indexes | No | Yes |
Online Addition of Nodes | Read-only replicas using MySQL Replication | Yes (all node types) |
Online Upgrades | No | Yes |
Online Schema Modifications | Yes, as part of MySQL 5.6. | Yes. |
MySQL Cluster has a range of unique attributes that make it
ideal to serve applications requiring high availability, fast
failover, high throughput, and low latency. Due to its
distributed architecture and multi-node implementation, MySQL
Cluster also has specific constraints that may keep some
workloads from performing well. A number of major differences in
behavior between the NDB
and
InnoDB
storage engines with regard
to some common types of database-driven application workloads
are shown in the following table::
Workload |
MySQL Cluster ( | |
---|---|---|
High-Volume OLTP Applications | Yes | Yes |
DSS Applications (data marts, analytics) | Yes | Limited (Join operations across OLTP datasets not exceeding 3TB in size) |
Custom Applications | Yes | Yes |
Packaged Applications | Yes | Limited (should be mostly primary key access). MySQL Cluster NDB 7.5 supports foreign keys. |
In-Network Telecoms Applications (HLR, HSS, SDP) | No | Yes |
Session Management and Caching | Yes | Yes |
E-Commerce Applications | Yes | Yes |
User Profile Management, AAA Protocol | Yes | Yes |
When comparing application feature requirements to the
capabilities of InnoDB
with
NDB
, some are clearly more
compatible with one storage engine than the other.
The following table lists supported application features according to the storage engine to which each feature is typically better suited.
Preferred application requirements for
|
Preferred application requirements for
|
---|---|
|
|
In the sections that follow, we discuss known limitations in
current releases of MySQL Cluster as compared with the features
available when using the MyISAM
and
InnoDB
storage engines. If you check the
“Cluster” category in the MySQL bugs database at
http://bugs.mysql.com, you can find known bugs in
the following categories under “MySQL Server:” in the
MySQL bugs database at http://bugs.mysql.com, which
we intend to correct in upcoming releases of MySQL Cluster:
MySQL Cluster
Cluster Direct API (NDBAPI)
Cluster Disk Data
Cluster Replication
ClusterJ
This information is intended to be complete with respect to the conditions just set forth. You can report any discrepancies that you encounter to the MySQL bugs database using the instructions given in Section 1.7, “How to Report Bugs or Problems”. If we do not plan to fix the problem in MySQL Cluster NDB 7.5, we will add it to the list.
See Previous MySQL Cluster Issues Resolved in MySQL Cluster NDB 7.3 for a list of issues in earlier releases that have been resolved in MySQL Cluster NDB 7.5.
Limitations and other issues specific to MySQL Cluster Replication are described in Section 18.6.3, “Known Issues in MySQL Cluster Replication”.
Some SQL statements relating to certain MySQL features produce
errors when used with NDB
tables,
as described in the following list:
Temporary tables.
Temporary tables are not supported. Trying either to
create a temporary table that uses the
NDB
storage engine or to
alter an existing temporary table to use
NDB
fails with the error
Table storage engine 'ndbcluster' does not
support the create option 'TEMPORARY'.
Indexes and keys in NDB tables. Keys and indexes on MySQL Cluster tables are subject to the following limitations:
Column width.
Attempting to create an index on an
NDB
table column whose width is
greater than 3072 bytes succeeds, but only the first
3072 bytes are actually used for the index. In such
cases, a warning Specified key was too
long; max key length is 3072 bytes is
issued, and a SHOW CREATE
TABLE
statement shows the length of the
index as 3072.
TEXT and BLOB columns.
You cannot create indexes on
NDB
table columns that
use any of the TEXT
or
BLOB
data types.
FULLTEXT indexes.
The NDB
storage engine
does not support FULLTEXT
indexes,
which are possible for
MyISAM
and
InnoDB
tables only.
However, you can create indexes on
VARCHAR
columns of
NDB
tables.
USING HASH keys and NULL.
Using nullable columns in unique keys and primary keys
means that queries using these columns are handled as
full table scans. To work around this issue, make the
column NOT NULL
, or re-create the
index without the USING HASH
option.
Prefixes.
There are no prefix indexes; only entire columns can
be indexed. (The size of an NDB
column index is always the same as the width of the
column in bytes, up to and including 3072 bytes, as
described earlier in this section. Also see
Section 18.1.6.6, “Unsupported or Missing Features in MySQL Cluster”,
for additional information.)
BIT columns.
A BIT
column cannot be
a primary key, unique key, or index, nor can it be
part of a composite primary key, unique key, or index.
AUTO_INCREMENT columns.
Like other MySQL storage engines, the
NDB
storage engine can
handle a maximum of one
AUTO_INCREMENT
column per table.
However, in the case of a Cluster table with no
explicit primary key, an
AUTO_INCREMENT
column is
automatically defined and used as a
“hidden” primary key. For this reason,
you cannot define a table that has an explicit
AUTO_INCREMENT
column unless that
column is also declared using the PRIMARY
KEY
option. Attempting to create a table
with an AUTO_INCREMENT
column that
is not the table's primary key, and using the
NDB
storage engine, fails
with an error.
Restrictions on foreign keys.
Support for foreign key constraints in MySQL Cluster NDB
7.5 is comparable to that provided by
InnoDB
, subject to the
following restrictions:
Every column referenced as a foreign key requires an explicit unique key, if it is not the table's primary key.
ON UPDATE CASCADE
is not supported
when the reference is to the parent table's primary
key.
SET DEFAULT
is not supported. (Also
not supported by InnoDB
.)
The NO ACTION
keywords are accepted
but treated as RESCRICT
. (Also the
same as with InnoDB
.)
In earlier versions of MySQL Cluster, when creating a table with foreign key referencing an index in another table, it sometimes appeared possible to create the foreign key even if the order of the columns in the indexes did not match, due to the fact that an appropriate error was not always returned internally. A partial fix for this issue improved the error used internally to work in most cases; however, it remains possible for this situation to occur in the event that the parent index is a unique index. (Bug #18094360)
For more information, see Section 13.1.18.3, “Using FOREIGN KEY Constraints”, and Section 1.8.3.2, “FOREIGN KEY Constraints”.
MySQL Cluster and geometry data types.
Geometry data types (WKT
and
WKB
) are supported for
NDB
tables. However, spatial
indexes are not supported.
Character sets and binary log files.
Currently, the ndb_apply_status
and
ndb_binlog_index
tables are created
using the latin1
(ASCII) character set.
Because names of binary logs are recorded in this table,
binary log files named using non-Latin characters are not
referenced correctly in these tables. This is a known
issue, which we are working to fix. (Bug #50226)
To work around this problem, use only Latin-1 characters
when naming binary log files or setting any the
--basedir
,
--log-bin
, or
--log-bin-index
options.
Creating NDB tables with user-defined partitioning.
Support for user-defined partitioning in MySQL Cluster is
restricted to [LINEAR
]
KEY
partitioning. Using any other
partitioning type with ENGINE=NDB
or
ENGINE=NDBCLUSTER
in a
CREATE TABLE
statement
results in an error.
It is possible to override this restriction, but doing so is not supported for use in production settings. For details, see User-defined partitioning and the NDB storage engine (MySQL Cluster).
Default partitioning scheme.
All MySQL Cluster tables are by default partitioned by
KEY
using the table's primary key
as the partitioning key. If no primary key is explicitly
set for the table, the “hidden” primary key
automatically created by the
NDB
storage engine is used
instead. For additional discussion of these and related
issues, see Section 19.2.5, “KEY Partitioning”.
CREATE TABLE
and
ALTER TABLE
statements that
would cause a user-partitioned
NDBCLUSTER
table not to meet
either or both of the following two requirements are not
permitted, and fail with an error:
The table must have an explicit primary key.
All columns listed in the table's partitioning expression must be part of the primary key.
Exception.
If a user-partitioned
NDBCLUSTER
table is created
using an empty column-list (that is, using
PARTITION BY [LINEAR] KEY()
), then no
explicit primary key is required.
Maximum number of partitions for NDBCLUSTER tables.
The maximum number of partitions that can defined for a
NDBCLUSTER
table when
employing user-defined partitioning is 8 per node group.
(See Section 18.1.2, “MySQL Cluster Nodes, Node Groups, Replicas, and Partitions”, for
more information about MySQL Cluster node groups.
DROP PARTITION not supported.
It is not possible to drop partitions from
NDB
tables using
ALTER TABLE ... DROP PARTITION
. The
other partitioning extensions to
ALTER
TABLE
—ADD PARTITION
,
REORGANIZE PARTITION
, and
COALESCE PARTITION
—are supported
for Cluster tables, but use copying and so are not
optimized. See
Section 19.3.1, “Management of RANGE and LIST Partitions” and
Section 13.1.8, “ALTER TABLE Syntax”.
Row-based replication.
When using row-based replication with MySQL Cluster,
binary logging cannot be disabled. That is, the
NDB
storage engine ignores
the value of sql_log_bin
.
In this section, we list limits found in MySQL Cluster that either differ from limits found in, or that are not found in, standard MySQL.
Memory usage and recovery.
Memory consumed when data is inserted into an
NDB
table is not automatically
recovered when deleted, as it is with other storage engines.
Instead, the following rules hold true:
A DELETE
statement on an
NDB
table makes the memory
formerly used by the deleted rows available for re-use by
inserts on the same table only. However, this memory can be
made available for general re-use by performing
OPTIMIZE TABLE
.
A rolling restart of the cluster also frees any memory used by deleted rows. See Section 18.5.5, “Performing a Rolling Restart of a MySQL Cluster”.
A DROP TABLE
or
TRUNCATE TABLE
operation on
an NDB
table frees the memory
that was used by this table for re-use by any
NDB
table, either by the same
table or by another NDB
table.
Recall that TRUNCATE TABLE
drops and re-creates the table. See
Section 13.1.34, “TRUNCATE TABLE Syntax”.
Limits imposed by the cluster's configuration. A number of hard limits exist which are configurable, but available main memory in the cluster sets limits. See the complete list of configuration parameters in Section 18.3.3, “MySQL Cluster Configuration Files”. Most configuration parameters can be upgraded online. These hard limits include:
Database memory size and index memory size
(DataMemory
and
IndexMemory
,
respectively).
DataMemory
is
allocated as 32KB pages. As each
DataMemory
page
is used, it is assigned to a specific table; once
allocated, this memory cannot be freed except by
dropping the table.
See Section 18.3.3.6, “Defining MySQL Cluster Data Nodes”, for more information.
The maximum number of operations that can be performed
per transaction is set using the configuration
parameters
MaxNoOfConcurrentOperations
and
MaxNoOfLocalOperations
.
Bulk loading, TRUNCATE
TABLE
, and ALTER
TABLE
are handled as special cases by
running multiple transactions, and so are not subject
to this limitation.
Different limits related to tables and indexes. For
example, the maximum number of ordered indexes in the
cluster is determined by
MaxNoOfOrderedIndexes
,
and the maximum number of ordered indexes per table is
16.
Node and data object maximums. The following limits apply to numbers of cluster nodes and metadata objects:
The maximum number of data nodes is 48.
A data node must have a node ID in the range of 1 to 48, inclusive. (Management and API nodes may use node IDs in the range 1 to 255, inclusive.)
The total maximum number of nodes in a MySQL Cluster is 255. This number includes all SQL nodes (MySQL Servers), API nodes (applications accessing the cluster other than MySQL servers), data nodes, and management servers.
The maximum number of metadata objects in current versions of MySQL Cluster is 20320. This limit is hard-coded.
See Previous MySQL Cluster Issues Resolved in MySQL Cluster NDB 7.3, for more information.
A number of limitations exist in MySQL Cluster with regard to the handling of transactions. These include the following:
Transaction isolation level.
The NDBCLUSTER
storage engine
supports only the READ
COMMITTED
transaction isolation level.
(InnoDB
, for example, supports
READ COMMITTED
,
READ UNCOMMITTED
,
REPEATABLE READ
, and
SERIALIZABLE
.) See
Section 18.5.3.4, “MySQL Cluster Backup Troubleshooting”,
for information on how this can affect backing up and
restoring Cluster databases.)
Transactions and BLOB or TEXT columns.
NDBCLUSTER
stores only part
of a column value that uses any of MySQL's
BLOB
or
TEXT
data types in the
table visible to MySQL; the remainder of the
BLOB
or
TEXT
is stored in a
separate internal table that is not accessible to MySQL.
This gives rise to two related issues of which you should
be aware whenever executing
SELECT
statements on tables
that contain columns of these types:
For any SELECT
from a
MySQL Cluster table: If the
SELECT
includes a
BLOB
or
TEXT
column, the
READ COMMITTED
transaction isolation level is converted to a read with
read lock. This is done to guarantee consistency.
For any SELECT
which uses
a unique key lookup to retrieve any columns that use any
of the BLOB
or
TEXT
data types and that
is executed within a transaction, a shared read lock is
held on the table for the duration of the
transaction—that is, until the transaction is
either committed or aborted.
This issue does not occur for queries that use index or
table scans, even against
NDB
tables having
BLOB
or
TEXT
columns.
For example, consider the table t
defined by the following CREATE
TABLE
statement:
CREATE TABLE t ( a INT NOT NULL AUTO_INCREMENT PRIMARY KEY, b INT NOT NULL, c INT NOT NULL, d TEXT, INDEX i(b), UNIQUE KEY u(c) ) ENGINE = NDB,
Either of the following queries on t
causes a shared read lock, because the first query uses
a primary key lookup and the second uses a unique key
lookup:
SELECT * FROM t WHERE a = 1; SELECT * FROM t WHERE c = 1;
However, none of the four queries shown here causes a shared read lock:
SELECT * FROM t WHERE b = 1; SELECT * FROM t WHERE d = '1'; SELECT * FROM t; SELECT b,c WHERE a = 1;
This is because, of these four queries, the first uses
an index scan, the second and third use table scans, and
the fourth, while using a primary key lookup, does not
retrieve the value of any
BLOB
or
TEXT
columns.
You can help minimize issues with shared read locks by
avoiding queries that use unique key lookups that
retrieve BLOB
or
TEXT
columns, or, in
cases where such queries are not avoidable, by
committing transactions as soon as possible afterward.
Rollbacks. There are no partial transactions, and no partial rollbacks of transactions. A duplicate key or similar error causes the entire transaction to be rolled back.
This behavior differs from that of other transactional
storage engines such as InnoDB
that may roll back individual statements.
Transactions and memory usage. As noted elsewhere in this chapter, MySQL Cluster does not handle large transactions well; it is better to perform a number of small transactions with a few operations each than to attempt a single large transaction containing a great many operations. Among other considerations, large transactions require very large amounts of memory. Because of this, the transactional behavior of a number of MySQL statements is effected as described in the following list:
TRUNCATE TABLE
is not
transactional when used on
NDB
tables. If a
TRUNCATE TABLE
fails to
empty the table, then it must be re-run until it is
successful.
DELETE FROM
(even with no
WHERE
clause) is
transactional. For tables containing a great many rows,
you may find that performance is improved by using
several DELETE FROM ... LIMIT ...
statements to “chunk” the delete operation.
If your objective is to empty the table, then you may
wish to use TRUNCATE
TABLE
instead.
LOAD DATA statements.
LOAD DATA
INFILE
is not transactional when used on
NDB
tables.
When executing a
LOAD DATA
INFILE
statement, the
NDB
engine performs
commits at irregular intervals that enable better
utilization of the communication network. It is not
possible to know ahead of time when such commits take
place.
ALTER TABLE and transactions.
When copying an NDB
table
as part of an ALTER
TABLE
, the creation of the copy is
nontransactional. (In any case, this operation is
rolled back when the copy is deleted.)
Transactions and the COUNT() function.
When using MySQL Cluster Replication, it is not possible
to guarantee the transactional consistency of the
COUNT()
function on the
slave. In other words, when performing on the master a
series of statements
(INSERT
,
DELETE
, or both) that
changes the number of rows in a table within a single
transaction, executing SELECT COUNT(*) FROM
queries on the
slave may yield intermediate results. This is due to the
fact that table
SELECT COUNT(...)
may perform
dirty reads, and is not a bug in the
NDB
storage engine.
Starting, stopping, or restarting a node may give rise to temporary errors causing some transactions to fail. These include the following cases:
Temporary errors. When first starting a node, it is possible that you may see Error 1204 Temporary failure, distribution changed and similar temporary errors.
Errors due to node failure. The stopping or failure of any data node can result in a number of different node failure errors. (However, there should be no aborted transactions when performing a planned shutdown of the cluster.)
In either of these cases, any errors that are generated must be handled within the application. This should be done by retrying the transaction.
See also Section 18.1.6.2, “Limits and Differences of MySQL Cluster from Standard MySQL Limits”.
Some database objects such as tables and indexes have different
limitations when using the
NDBCLUSTER
storage engine:
Database and table names.
When using the NDB
storage engine, the
maximum allowed length both for database names and for
table names is 63 characters. A statement using a database
name or table name longer than this limit fails with an
appropriate error.
Number of database objects.
The maximum number of all
NDB
database objects in a
single MySQL Cluster—including databases, tables,
and indexes—is limited to 20320.
Attributes per table. The maximum number of attributes (that is, columns and indexes) that can belong to a given table is 512.
Attributes per key. The maximum number of attributes per key is 32.
Row size.
The maximum permitted size of any one row is 14000 bytes.
Each BLOB
or
TEXT
column contributes 256
+ 8 = 264 bytes to this total.
BIT column storage per table.
The maximum combined width for all
BIT
columns used in a given
NDB
table is 4096.
A number of features supported by other storage engines are not
supported for NDB
tables. Trying to
use any of these features in MySQL Cluster does not cause errors
in or of itself; however, errors may occur in applications that
expects the features to be supported or enforced. Statements
referencing such features, even if effectively ignored by
NDB
, must be syntactically and otherwise
valid.
Index prefixes.
Prefixes on indexes are not supported for
NDB
tables. If a prefix is used as part
of an index specification in a statement such as
CREATE TABLE
,
ALTER TABLE
, or
CREATE INDEX
, the prefix is
not created by NDB
.
A statement containing an index prefix, and creating or
modifying an NDB
table, must still be
syntactically valid. For example, the following statement
always fails with Error 1089 Incorrect prefix
key; the used key part isn't a string, the used length is
longer than the key part, or the storage engine doesn't
support unique prefix keys, regardless of
storage engine:
CREATE TABLE
t1 (
c1 INT NOT NULL,
c2 VARCHAR(100),
INDEX i1 (c2(500))
);
This happens on account of the SQL syntax rule that no index may have a prefix larger than itself.
Savepoints and rollbacks.
Savepoints and rollbacks to savepoints are ignored as in
MyISAM
.
Durability of commits. There are no durable commits on disk. Commits are replicated, but there is no guarantee that logs are flushed to disk on commit.
Replication.
Statement-based replication is not supported. Use
--binlog-format=ROW
(or
--binlog-format=MIXED
) when
setting up cluster replication. See
Section 18.6, “MySQL Cluster Replication”, for more
information.
Replication using global transaction identifiers (GTIDs) is
not compatible with MySQL Cluster, and is not supported in
MySQL Cluster NDB 7.5. Do not enable GTIDs when using the
NDB
storage engine, as this is very
likely to cause problems up to and including failure of
MySQL Cluster Replication.
See Section 18.1.6.3, “Limits Relating to Transaction Handling in MySQL Cluster”,
for more information relating to limitations on transaction
handling in NDB
.
The following performance issues are specific to or especially pronounced in MySQL Cluster:
Range scans.
There are query performance issues due to sequential
access to the NDB
storage
engine; it is also relatively more expensive to do many
range scans than it is with either
MyISAM
or InnoDB
.
Reliability of Records in range.
The Records in range
statistic is
available but is not completely tested or officially
supported. This may result in nonoptimal query plans in
some cases. If necessary, you can employ USE
INDEX
or FORCE INDEX
to alter
the execution plan. See Section 8.9.4, “Index Hints”, for
more information on how to do this.
Unique hash indexes.
Unique hash indexes created with USING
HASH
cannot be used for accessing a table if
NULL
is given as part of the key.
The following are limitations specific to the
NDB
storage engine:
Machine architecture. All machines used in the cluster must have the same architecture. That is, all machines hosting nodes must be either big-endian or little-endian, and you cannot use a mixture of both. For example, you cannot have a management node running on a PowerPC which directs a data node that is running on an x86 machine. This restriction does not apply to machines simply running mysql or other clients that may be accessing the cluster's SQL nodes.
Binary logging. MySQL Cluster has the following limitations or restrictions with regard to binary logging:
sql_log_bin
has no
effect on data operations; however, it is supported for
schema operations.
MySQL Cluster cannot produce a binary log for tables
having BLOB
columns but
no primary key.
Only the following schema operations are logged in a cluster binary log which is not on the mysqld executing the statement:
See also Section 18.1.6.10, “Limitations Relating to Multiple MySQL Cluster Nodes”.
Disk Data object maximums and minimums. Disk data objects are subject to the following maximums and minimums:
Maximum number of tablespaces: 232 (4294967296)
Maximum number of data files per tablespace: 216 (65536)
Maximum data file size: The theoretical limit is 64G; however, the practical upper limit is 32G. This is equivalent to 32768 extents of 1M each.
Since a MySQL Cluster Disk Data table can use at most 1
tablespace, this means that the theoretical upper limit to
the amount of data (in bytes) that can be stored on disk by
a single NDB
table is 32G * 65536 =
2251799813685248, or approximately 2 petabytes.
The theoretical maximum number of extents per tablespace data file is 216 (65536); however, for practical purposes, the recommended maximum number of extents per data file is 215 (32768).
The minimum and maximum possible sizes of extents for tablespace data files are 32K and 2G, respectively. See Section 13.1.19, “CREATE TABLESPACE Syntax”, for more information.
Disk Data tables and diskless mode. Use of Disk Data tables is not supported when running the cluster in diskless mode.
Multiple SQL nodes.
The following are issues relating to the use of multiple MySQL
servers as MySQL Cluster SQL nodes, and are specific to the
NDBCLUSTER
storage engine:
No distributed table locks.
A LOCK TABLES
works only
for the SQL node on which the lock is issued; no other SQL
node in the cluster “sees” this lock. This is
also true for a lock issued by any statement that locks
tables as part of its operations. (See next item for an
example.)
ALTER TABLE operations.
ALTER TABLE
is not fully
locking when running multiple MySQL servers (SQL nodes).
(As discussed in the previous item, MySQL Cluster does not
support distributed table locks.)
Multiple management nodes. When using multiple management servers:
If any of the management servers are running on the same host, you must give nodes explicit IDs in connection strings because automatic allocation of node IDs does not work across multiple management servers on the same host. This is not required if every management server resides on a different host.
When a management server starts, it first checks for any
other management server in the same MySQL Cluster, and upon
successful connection to the other management server uses
its configuration data. This means that the management
server --reload
and
--initial
startup options
are ignored unless the management server is the only one
running. It also means that, when performing a rolling
restart of a MySQL Cluster with multiple management nodes,
the management server reads its own configuration file if
(and only if) it is the only management server running in
this MySQL Cluster. See
Section 18.5.5, “Performing a Rolling Restart of a MySQL Cluster”, for more
information.
Multiple network addresses. Multiple network addresses per data node are not supported. Use of these is liable to cause problems: In the event of a data node failure, an SQL node waits for confirmation that the data node went down but never receives it because another route to that data node remains open. This can effectively make the cluster inoperable.
It is possible to use multiple network hardware
interfaces (such as Ethernet cards) for a
single data node, but these must be bound to the same address.
This also means that it not possible to use more than one
[tcp]
section per connection in the
config.ini
file. See
Section 18.3.3.9, “MySQL Cluster TCP/IP Connections”, for more
information.
This section describes the basics for planning, installing, configuring, and running a MySQL Cluster. Whereas the examples in Section 18.3, “Configuration of MySQL Cluster” provide more in-depth information on a variety of clustering options and configuration, the result of following the guidelines and procedures outlined here should be a usable MySQL Cluster which meets the minimum requirements for availability and safeguarding of data.
For information about upgrading or downgrading a MySQL Cluster between release versions, see Section 18.2.8, “Upgrading and Downgrading MySQL Cluster”.
This section covers hardware and software requirements; networking issues; installation of MySQL Cluster; basic configuration issues; starting, stopping, and restarting the cluster; loading of a sample database; and performing queries.
MySQL Cluster NDB 7.5 also provides a MySQL Cluster Auto-Installer, a web-based graphical installer, as part of the MySQL Cluster distribution. The Auto-Installer can be used to perform basic installation and setup of a MySQL Cluster on one (for testing) or more host computers. See Section 18.2.1, “The MySQL Cluster Auto-Installer”, for more information.
Assumptions. The following sections make a number of assumptions regarding the cluster's physical and network configuration. These assumptions are discussed in the next few paragraphs.
Cluster nodes and host computers. The cluster consists of four nodes, each on a separate host computer, and each with a fixed network address on a typical Ethernet network as shown here:
Node | IP Address |
---|---|
Management node (mgmd) | 192.168.0.10 |
SQL node (mysqld) | 192.168.0.20 |
Data node "A" (ndbd) | 192.168.0.30 |
Data node "B" (ndbd) | 192.168.0.40 |
This may be made clearer by the following diagram:
Network addressing.
In the interest of simplicity (and reliability), this
How-To uses only numeric IP addresses.
However, if DNS resolution is available on your network, it is
possible to use host names in lieu of IP addresses in configuring
Cluster. Alternatively, you can use the hosts
file (typically /etc/hosts
for Linux and
other Unix-like operating systems,
C:\WINDOWS\system32\drivers\etc\hosts
on
Windows, or your operating system's equivalent) for providing
a means to do host lookup if such is available.
Potential hosts file issues.
A common problem when trying to use host names for Cluster nodes
arises because of the way in which some operating systems
(including some Linux distributions) set up the system's own
host name in the /etc/hosts
during
installation. Consider two machines with the host names
ndb1
and ndb2
, both in the
cluster
network domain. Red Hat Linux
(including some derivatives such as CentOS and Fedora) places the
following entries in these machines'
/etc/hosts
files:
# ndb1 /etc/hosts
:
127.0.0.1 ndb1.cluster ndb1 localhost.localdomain localhost
# ndb2 /etc/hosts
:
127.0.0.1 ndb2.cluster ndb2 localhost.localdomain localhost
SUSE Linux (including OpenSUSE) places these entries in the
machines' /etc/hosts
files:
# ndb1 /etc/hosts
:
127.0.0.1 localhost
127.0.0.2 ndb1.cluster ndb1
# ndb2 /etc/hosts
:
127.0.0.1 localhost
127.0.0.2 ndb2.cluster ndb2
In both instances, ndb1
routes
ndb1.cluster
to a loopback IP address, but gets a
public IP address from DNS for ndb2.cluster
,
while ndb2
routes ndb2.cluster
to a loopback address and obtains a public address for
ndb1.cluster
. The result is that each data node
connects to the management server, but cannot tell when any other
data nodes have connected, and so the data nodes appear to hang
while starting.
You cannot mix localhost
and other host names
or IP addresses in config.ini
. For these
reasons, the solution in such cases (other than to use IP
addresses for all
config.ini
HostName
entries) is to remove the fully qualified host names from
/etc/hosts
and use these in
config.ini
for all cluster hosts.
Host computer type. Each host computer in our installation scenario is an Intel-based desktop PC running a supported operating system installed to disk in a standard configuration, and running no unnecessary services. The core operating system with standard TCP/IP networking capabilities should be sufficient. Also for the sake of simplicity, we also assume that the file systems on all hosts are set up identically. In the event that they are not, you should adapt these instructions accordingly.
Network hardware. Standard 100 Mbps or 1 gigabit Ethernet cards are installed on each machine, along with the proper drivers for the cards, and that all four hosts are connected through a standard-issue Ethernet networking appliance such as a switch. (All machines should use network cards with the same throughput. That is, all four machines in the cluster should have 100 Mbps cards or all four machines should have 1 Gbps cards.) MySQL Cluster works in a 100 Mbps network; however, gigabit Ethernet provides better performance.
MySQL Cluster is not intended for use in a network for which throughput is less than 100 Mbps or which experiences a high degree of latency. For this reason (among others), attempting to run a MySQL Cluster over a wide area network such as the Internet is not likely to be successful, and is not supported in production.
Sample data.
We use the world
database which is available
for download from the MySQL Web site (see
http://dev.mysql.com/doc/index-other.html). We assume that
each machine has sufficient memory for running the operating
system, required MySQL Cluster processes, and (on the data nodes)
storing the database.
For general information about installing MySQL, see Chapter 2, Installing and Upgrading MySQL. For information about installation of MySQL Cluster on Linux and other Unix-like operating systems, see Section 18.2.2, “Installation of MySQL Cluster on Linux”. For information about installation of MySQL Cluster on Windows operating systems, see Section 18.2.3, “Installing MySQL Cluster on Windows”.
For general information about MySQL Cluster hardware, software, and networking requirements, see Section 18.1.3, “MySQL Cluster Hardware, Software, and Networking Requirements”.
This section describes the web-based graphical configuration installer included as part of the MySQL Cluster distribution. Topics discussed include an overview of the installer and its parts, software and other requirements for running the installer, navigating the GUI, and using the installer to set up and start or stop a MySQL Cluster on one or more host computers.
This section provides information on supported operating platforms and software, required software, and other prerequisites for running the MySQL Cluster Auto-Installer.
Supported platforms. The MySQL Cluster Auto-Installer is available with most MySQL Cluster NDB 7.5 distributions for recent versions of Linux, Windows, Solaris, and MacOS X. For more detailed information about platform support for MySQL Cluster and the MySQL Cluster Auto-Installer, see http://www.mysql.com/support/supportedplatforms/cluster.html.
Supported Web browsers. The Web-based installer is supported with recent versions of Firefox and Microsoft Internet Explorer. It should also work with recent versions of Opera, Safari, and Chrome, although we have not thoroughly tested for compability with these browsers.
Required software—setup host. The following software must be installed on the host where the Auto-Installer is run:
Python 2.6 or newer. The Auto-Installer requires the Python interpreter and standard libraries. If these are not already installed on the system, you may be able to add them using the system's package manager. Otherwise, they can be downloaded from http://python.org/download/.
Paramiko 1.7.7.1 or newer. This is required to communicate with remote hosts using SSH. You can download it from http://www.lag.net/paramiko/. Paramiko may also be available from your system's package manager.
Pycrypto version 2.6 or newer. This cryptography module is required by Paramiko. If it is not available using your system's package manage, you can download it from https://www.dlitz.net/software/pycrypto/.
All of the software in the preceding list is included in the Windows version of the configuration tool, and does not need to be installed separately.
The Paramiko and Pycrypto libraries are required only if you intend to deploy MySQL Cluster nodes on remote hosts, and are not needed if all nodes are on the same host where the installer is run.
Required software—remote hosts. The only software required for remote hosts where you wish to deploy MySQL Cluster nodes is the SSH server, which is usually installed by default on Linux and Solaris systems. Several alternatives are available for Windows; for an overview of these, see http://en.wikipedia.org/wiki/Comparison_of_SSH_servers.
An additional requirement when using multiple hosts is that it is possible to authenticate to any of the remote hosts using SSH and the proper keys or user credentials, as discussed in the next few paragraphs:
Authentication and security. Three basic security or authentication mechanisms for remote access are available to the Auto-Installer, which we list and describe here:
SSH. A secure shell connection is used to enable the back end to perform actions on remote hosts. For this reason, an SSH server must be running on the remote host. In addition, the system user running the installer must have access to the remote server, either with a user name and password, or by using public and private keys.
You should never use the system root
account for remote access, as this is extremely insecure.
In addition, mysqld cannot normally be
started by system root
. For these and
other reasons, you should provide SSH credentials for a
regular user account on the target system, and not for
system root
. For more information about
this issue, see Section 6.1.5, “How to Run MySQL as a Normal User”.
HTTPS.
Remote communication between the Web browser front end and
the back end is not encrypted by default, which means that
information such as the user's SSH password is
transmitted in clear text that is readable to anyone. For
communication from a remote client to be encrypted, the
back end must have a certificate, and the front end must
communicate with the back end using HTTPS rather than
HTTP. Enabling HTTPS is accomplished most easily through
issuing a self-signed certificate. Once the certificate is
issued, you must make sure that it is used. You can do
this by starting ndb_setup.py from the
command line with the
--use-https
and
--cert-file
options.
Certificate-based authentication.
The back end ndb_setup.py process can
execute commands on the local host as well as remote
hosts. This means that anyone connecting to the back end
can take charge of how commands are executed. To reject
unwanted connections to the back end, a certificate may be
required for authentication of the client. In this case, a
certificate must be issued by the user, installed in the
browser, and made available to the back end for
authentication purposes. You can enact this requirement
(together with or in place of password or key
authentication) by starting
ndb_setup.py with the
--ca-certs-file
option.
There is no need or requirement for secure authentication when the client browser is running on the same host as the Auto-Installer back end.
See also Section 18.5.12, “MySQL Cluster Security Issues”, which discusses security considerations to take into account when deploying MySQL Cluster, as well as Chapter 6, Security, for more general MySQL security information.
The MySQL Cluster Auto-Installer is made up of two components. The front end is a GUI client implemented as a Web page that loads and runs in a standard Web browser such as Firefox or Microsoft Internet Explorer (see Section 18.2.1.1, “MySQL Cluster Auto-Installer Requirements”). The back end is a server process (ndb_setup.py) that runs on the local machine or on another host to which you have access.
These two components (client and server) communicate with each other using standard HTTP requests and responses. The back end can manage MySQL Cluster software programs on any host where the back end user has granted access. If the MySQL Cluster software is on a different host, the back end relies on SSH for access, using the Paramiko library for executing commands remotely (see Section 18.2.1.1, “MySQL Cluster Auto-Installer Requirements”).
The remainder of this section is concerned primarily with the Web client. For more information about using the command-line tool, see Section 18.4.23, “ndb_setup.py — Start browser-based Auto-Installer for MySQL Cluster”.
MySQL Cluster Auto-Installer Interface. This section describes the layout and navigation of the MySQL Cluster Auto-Installer, whose Welcome screen looks similar to what is shown here when it is first opened in the Web browser:
You can access the installer UI by selecting either of the options Create New MySQL Cluster or Continue Previous Cluster Configuration. A typical screen in the Auto-Installer includes the following elements:
Display panel. The central area where data regarding configuration settings and controls for changing them are displayed.
Breadcrumb navigation. Located in the top left and top center of the GUI, the breadcrumb navigation bar consists of a series of titles linking to screens that correspond to steps in the configuration of a MySQL Cluster. The breadcrumb allows you to jump between these stages in arbritrary order.
Sequential navigation. This consists of a set of buttons labelled
, , and , and can be found in the lower right-hand corner of the GUI. The sequential navigation is used to move between steps in the suggested order.Settings and Help menus. These menus can be found in the top right corner of the GUI (to the right of the breadcrumb navigation bar).
provides a way check and possibly alter configuration settings for the Auto-Installer; can be used to access the installer's built-in help files.The locations of the elements just described are shown here in a typical page in the Auto-Installer; the numbers superimposed thereupon correspond to those used in the preceding list.
All of these elements except for the display panel are described in greater detail in the remainder of this section. Section 18.2.1.3, “Using the MySQL Cluster Auto-Installer”, describes the panels shown in the display area as well as the functionality of each panel and the controls it contains.
Arbitrary and sequential navigation. The Auto-Installer can display any of a number of pages covering different stages in the setup and configuration of a MySQL Cluster deployment. You can navigate between pages in either of two ways. The first of these is the breadcrumb trail navigation toolbar displaying the titles of the various pages (in which the title of the current page is highlighted and disabled). From these, any desired page, in any desired order, can be reached by selecting the title of the corresponding page. This toolbar is shown here:
The second navigation mechanism provided by the Auto-Installer consists of the
, , and sequential navigation buttons at the bottom right of the page. These can be used to move to the next or previous page in predetermined order, or to go to the very last page. The buttons are enabled and disabled as needed, so that you cannot, for example, advance beyond the last page.Settings and Help menus. These menus are positioned adjacent to one another in the top right corner of the GUI, as shown earlier in this section. The
menu is shown here in more detail:The entries in the
menu are described here, in the following list:: Remove all hosts and processes; reset all parameter values to their defaults; start the installer over at the first page.
: Save your configuration information—such as host names, process data, and parameter values—as a cookie in the browser. When this option is chosen, all information except any SSH password is saved. This means that you can quit and restart the browser, and continue working on the same configuration from where you left off at the end of the previous session).
Since the SSH password is never saved, you must supply this once again at the beginning of a new session, if one is used.
: Show advanced configuration parameters in the Auto-Installer and make these settable by the user.
Once set, the advanced parameters continue to be used in the configuration file until they are explicitly changed or reset. This is regardless of whether the advanced parameters are currently visible in the installer; in other words, disabling the menu item does not reset the values of any of these parameters.
: Query new hosts automatically for hardware resource information to pre-populate a number of configuration options and values. In this case, the suggested values are not mandatory, but they are used unless explicitly changed using the appropriate editing options in the installer.
As with the installer's navigation elements, one or more of the entries in the
menu may be disabled due to choices you have made previously.The
menu is shown here, as it appears when expanded:The
menu provides several options, described in the following list:: Show the built-in user guide. This is opened in a separate browser window, so that it can be used simultaneously with the installer without interrupting workflow.
: Open the built-in user guide to the section describing the page currently displayed in the installer.
: This will show a small dialog displaying the installer name and the version number of the MySQL Cluster distribution it was supplied with, similar to what is shown here:
The Auto-Installer also provides context-sensitive help in the form of tooltips for most input widgets. One of these tooltips is displayed when the mouse hovers over a widget or the small question mark which can sometimes appear next to a widget label.
In addition, the names of MySQL Cluster configuration parameters are linked to their descriptions in the online MySQL Cluster documentation, so that if you click on the name of a given parameter, the documentation for that parameter is shown in a separate window.
Section 18.2.1.3.1, “Starting the MySQL Cluster Auto-Installer”
Section 18.2.1.3.2, “MySQL Cluster Auto-Installer Welcome Screen”
Section 18.2.1.3.3, “MySQL Cluster Auto-Installer Define Cluster Screen”
Section 18.2.1.3.4, “MySQL Cluster Auto-Installer Define Hosts Screen”
Section 18.2.1.3.5, “MySQL Cluster Auto-Installer Define Processes Screen”
Section 18.2.1.3.6, “MySQL Cluster Auto-Installer Define Attributes Screen”
Section 18.2.1.3.7, “MySQL Cluster Auto-Installer Deploy Cluster Screen”
The MySQL Cluster Auto-Installer consists of several pages, each corresponding to a step in the process used to configure and deploy a MySQL Cluster, and listed here:
Welcome: Begin using the Auto-Installer by choosing either to configure a new MySQL Cluster, or to continue configuring an existing one.
Define Cluster: Set basic information about the cluster as a whole, such as name, hosts, and load type. Here you can also set the SSH authentication type for accessing remote hosts, if needed.
Define Hosts: Identify the hosts where you intend to run MySQL Cluster processes.
Define Processes: Assign one or more processes of a given type or types to each cluster host.
Define Attributes: Set configuration attributes for processes or types of processes.
Deploy Cluster: Deploy the cluster with the configuration set previously; start and stop the deployed cluster.
The following sections describe in greater detail the purpose and function of each of these pages, in the order just listed.
The Auto-Installer is provided together with the MySQL Cluster
software. (See Section 18.2, “MySQL Cluster Installation”.)
The present section explains how to start the installer. You
can do by invoking the ndb_setup.py
executable. ndb_setup.py is found in the
bin
within the MySQL Cluster installation
directory; a typical location might be
/usr/local/mysql/bin
on a Linux system or
C:\Program Files\MySQL\MySQL Server
5.6\bin
on a Windows system, but this can vary
according to where the MySQL Cluster software is installed on
your system.
On Windows, you can also start the installer by running setup.bat in the MySQL Cluster installation directory. When invoked from the command line, it accepts the same options as does ndb_setup.py.
ndb_setup.py can be started with any of several options that affect its operation, but it is usually sufficient to allow the default settings be used, in which case you can start ndb_setup.py by either of the following two methods:
Navigate to the MySQL Cluster bin
directory in a terminal and invoke it from the command
line, without any additional arguments or options, like
this:
shell> ndb_setup
This works regardless of operating platform.
Navigate to the MySQL Cluster bin
directory in a file browser (such Windows Explorer on
Windows, or Konqueror, Dolphin, or Nautilus on Linux) and
activate (usually by double-clicking) the
ndb_setup.py file icon. This works on
Windows, and should work with most common Linux desktops
as well.
On Windows, you can also navigate to the MySQL Cluster installation directory and activate the setup.bat file icon.
In either case, once ndb_setup.py is invoked, the Auto-Installer's Welcome screen should open in the system's default Web browser.
In some cases, you may wish to use non-default settings for the installer, such as specifying a different port for the Auto-Installer's included Web server to run on, in which case you must invoke ndb_setup.py with one or more startup options with values overriding the necessary defaults. The same startup options can be used on Windows systems with the setup.bat file supplied for such platforms in the MySQL Cluster software distribution. This can be done using the command line, but if you want or need to start the installer from a desktop or file browser while emplying one or more of these options, it is also possible to create a script or batch file containing the proper invocation, then to double-click its file icon in the file browser to start the installer. (On Linux systems, you might also need to make the script file executable first.) For information about advanced startup options for the MySQL Cluster Auto-Installer, see Section 18.4.23, “ndb_setup.py — Start browser-based Auto-Installer for MySQL Cluster”.
The Welcome screen is loaded in the default browser when ndb_setup.py is invoked, as shown here:
This screen provides the following two choices for entering the installer, one of which must be selected to continue:
Create New MySQL Cluster: Start the Auto-Installer with a completely new cluster to be set up and deployed.
Continue Previous Cluster Configuration: Start the Auto-Installer at the same point where the previous session ended, with all previous settings preserved.
The second option requires that the browser be able to access its cookies from the previous session, as these provide the mechanism by which configuration and other information generated during a session is stored. In other words, to continue the previous session with the Auto-Installer, you must use the same web browser running on the same host as you did for the previous session.
The Define Cluster screen is the first screen to appear following the choice made in the Welcome screen, and is used for setting general properties of the cluster. The layout of the Define Cluster screen is shown here:
The Define Cluster screen allows you to set a number of general properties for the cluster, as described in this list:
Cluster name: A name that identifies
the cluster. The default is MyCluster
.
Host list: A comma-delimited list of
one or more hosts where cluster processes should run. By
default, this is 127.0.0.1
. If you add
remote hosts to the list, you must be able to connect to
them using the SSH Credentials
supplied.
Application type: Choose one of the following:
Not intended for production environments.
: Minimal resource usage for small-scale testing. This the default.: Maximize performance for the given hardware.
: Maximize performance while maximizing sensitivity to timeouts in order to minimize the time needed to detect failed cluster processes.
Write load: Choose a level for the anticipated number of writes for the cluster as a whole. You can choose any one of the following levels:
: The expected load includes fewer than 100 write transactions for second.
: The expected load includes 100 to 1000 write transactions per second.
: The expected load includes more than 1000 write transactions per second.
SSH Credentials: Choose Key-Based SSH or enter User and Password credentials. The SSH key or a user name with password is required for connecting to any remote hosts specified in the Host list. By default, Key-Based SSH is selected, and the User and Password fileds are blank.
The Define Hosts screen, shown here, provides a means of viewing and specifying several key properties of each cluster host:
The hosts currently entered are displayed in the grid with various pieces of information. You can add hosts by clicking the Define Cluster screen).
button and entering a list of one or more comma-separated host names, IP addresses, or both (as when editing the host list on theSimilarly, you can remove one or more hosts using the button labelled
. When you remove a host in this fashion, any process which was configured for that host is also removed.If Automatically get resource information for new hosts is checked in the , the Auto-Installer attempts to retrieve the platform name, amount of memory, and number of CPU cores and to fill these in automatically. The status of this is displayed in the menuResource info column. Fetching the information from remote hosts is not instantaneous and may take some time, particularly from remote hosts running Windows.
If the SSH user credentials on the Define Cluster screen are changed, the tool tries to refresh the hardware information from any hosts for which information is missing. However, if a given field has already been edited, the user-supplied information is not overwritten by any value fetched from that host.
The hardware resource information, platform name, installation directory, and data directory can be edited by the user by clicking the corresponding cell in the grid, by selecting one or more hosts and clicking the button labelled Edit selected host(s). This causes a dialog box to appear, in which these fields can be edited, as shown here:
When more than one host is selected, any edited values are applied to all selected hosts.
The Define Processes screen, shown here, provides a way to assign MySQL Cluster processes (nodes) to cluster hosts:
The left-hand portion of this screen contains a process tree showing cluster hosts and processes set up to run on each one. On the right is a panel which displays information about the item currently selected in the tree.
When this screen is accessed for the first time for a given cluster, a default set of processes is defined for you, based on the number of hosts. If you later return to the Define Hosts screen, remove all hosts, and add new hosts, this also causes a new default set of processes to be defined.
MySQL Cluster processes are of the following types:
Management node. Performs administrative tasks such as stopping individual data nodes, querying node and cluster status, and making backups. Executable: ndb_mgmd.
Single-threaded data node. Stores data and executes queries. Executable: ndbd.
Multi threaded data node. Stores data and executes queries with multiple worker threads executing in parallel. Executable: ndbmtd.
SQL node.
MySQL server for executing SQL queries against
NDB
. Executable:
mysqld.
API node.
A client accessing data in
NDB
by means of the NDB API
or other low-level client API, rather than by using SQL.
See MySQL Cluster API Developer Guide, for more information.
For more information about process (node) types, see Section 18.1.1, “MySQL Cluster Core Concepts”.
Processes shown in the tree are numbered sequentially by type,
for each host—for example, SQL node
1
, SQL node 2
, and so on—to
simplify identification.
Each management node, data node, or SQL process must be assigned to a specific host, and is not allowed to run on any other host. An API node may be assigned to a single host, but this is not required. Instead, you can assign it to the special entry which the tree also contains in addition to any other hosts, and which acts as a placeholder for processes that are allowed to run on any host. Only API processes may use this . entry
Adding processes. To add a new process to a given host, either right-click that host's entry in the tree, then select the Add process popup when it appears, or select a host in the process tree, and press the button below the process tree. Performing either of these actions opens the add process dialog, as shown here:
Here you can select from among the available process types described earlier this section; you can also enter an arbitrary process name to take the place of the suggested value, if desired.
Removing processes. To delete a process, right-click on a process in the tree and select delete process from the pop up menu that appears, or select a process, then use the button below the process tree.
When a process is selected in the process tree, information about that process is displayed in the panel to the right of the tree, where you can change the process name and possibly its type. Important: Currently, you can change a single-threaded data node (ndbd) to a multi-threaded data node (ndbmtd), or the reverse, only; no other process type changes are allowed. If you want to make a change between any other process types, you must delete the original process first, then add a new process of the desired type.
This screen has a layout similar to that of the Define Processes screen, with a process tree at the left. Unlike that screen's tree, the Define Attributes process tree is organized by process or node type, with single-threaded and multi-threaded data nodes considered to be of the same type for this purpose, in groups labelled , , , and . A panel to the right of this tree displays information regarding the item currently selected. The Define Attributes screen is shown here:
A checkbox labelled Show advanced configuration is located below the process tree. Checking this box makes advanced options visible in the information pane. These options are set and used whether or not they are visible.
You can edit attributes for a single process by selecting that process from the tree, or for all processes of the same type in the cluster by selecting one of the
folders. A per-process value set for a given attribute overrides any per-group setting for that attribute that would otherwise apply to the process in question. An example of such an information panel (for an SQL process) is shown here:For some of the attributes shown in the information panel, a button bearing a plus sign is displayed to the right, which means that the value of this attribute can be overridden. This
button activates an input widget for the attribute, enabling you to change its value. When the value has been overridden, this button changes into a button showing an , as shown here:Clicking the
button next to an attribute undoes any changes made to it; it immediately reverts to the predefined value.All configuration attributes have predefined values calculated by the installer, based such factors as host name, node ID, node type, and so on. In most cases, these values may be left as they are. If you are not familiar with it already, it is highly recommended that you read the applicable documentation before making changes to any of the attribute values. To make finding this information easier, each attribute name shown in the information panel is linked to its description in the online MySQL Cluster documentation.
This screen allows you to perform the following tasks:
Review process startup commands and configuration files to be applied
Distribute configuration files by creating any necessary files and directories on all cluster hosts—that is, deploy the cluster as presently configured
Start and stop the cluster
The Deploy Cluster screen is shown here:
Like the Define Attributes screen, this screens features a process tree, organized by process type, on the left hand side. Next to each process is a status icon whose color indicates the current status of the process: green if it is running; yellow if it is starting or stopping; red if the process is stopped.
To the right of the process tree are two information panels, the upper panel showing the startup command or commands needed to start the selected process. (For some processes, more than one command may be required—for example, if initialization is necessary.) The lower panel shows the contents of the configuration file, if any, for the given process; currently, the management node process is only type of process having a configuration file. Other process types are configured using command-line parameters when starting the process, or by obtaining configuration information from the management nodes as needed in real time.
Three buttons are located immediately below the process tree. These are labelled as and perform the functions described in the following list:
: Verify that the configuration is valid. Create any directories required on the cluster hosts, and distribute the configuration files onto the hosts. A progress bar shows how far the deployment has proceeded.
: The cluster is deployed as with , after which all cluster processes are started in the correct order.
Starting these processes may take some time. If the estimated time to completion is too large, the installer provides an opportunity to cancel or to continue of the startup procedure. A progress bar indicates the current status of the startup procedure, as shown here:
The process status icons adjoining the process tree mentioned previously also update with the status of each process.
: After the cluster has been started, you can stop it using the this. As with starting the cluster, cluster shutdown is not instantaneous, and may require some time complete. A progress bar, similar to that displayed during cluster startup, shows the approximate current status of the cluster shutdown procedure, as do the process status icons adjoining the process tree.
The Auto-Installer generates a my.cnf
file containing the appropriate options for each
mysqld process in the cluster.
This section covers installation methods for MySQL Cluster on Linux and other Unix-like operating systems. While the next few sections refer to a Linux operating system, the instructions and procedures given there should be easily adaptable to other supported Unix-like platforms. For manual installation and setup instructions specific to Windows systems, see Section 18.2.3, “Installing MySQL Cluster on Windows”.
Each MySQL Cluster host computer must have the correct executable programs installed. A host running an SQL node must have installed on it a MySQL Server binary (mysqld). Management nodes require the management server daemon (ndb_mgmd); data nodes require the data node daemon (ndbd or ndbmtd). It is not necessary to install the MySQL Server binary on management node hosts and data node hosts. It is recommended that you also install the management client (ndb_mgm) on the management server host.
Installation of MySQL Cluster on Linux can be done using precompiled binaries from Oracle (downloaded as a .tar.gz archive), with RPM packages (also available from Oracle), or from source code. All three of these installation methods are described in the section that follow.
Regardless of the method used, it is still necessary following installation of the MySQL Cluster binaries to create configuration files for all cluster nodes, before you can start the cluster. See Section 18.2.4, “Initial Configuration of MySQL Cluster”.
This section covers the steps necessary to install the correct executables for each type of Cluster node from precompiled binaries supplied by Oracle.
For setting up a cluster using precompiled binaries, the first
step in the installation process for each cluster host is to
download the latest MySQL Cluster NDB 7.5 binary archive
(mysql-cluster-gpl-7.5.2-linux-i686-glibc23.tar.gz
from the MySQL Cluster
downloads area. We assume that you have placed this file
in each machine's /var/tmp
directory.
(If you do require a custom binary, see
Section 2.9.3, “Installing MySQL Using a Development Source Tree”.)
After completing the installation, do not yet start any of the binaries. We show you how to do so following the configuration of the nodes (see Section 18.2.4, “Initial Configuration of MySQL Cluster”).
SQL nodes.
On each of the machines designated to host SQL nodes, perform
the following steps as the system root
user:
Check your /etc/passwd
and
/etc/group
files (or use whatever tools
are provided by your operating system for managing users and
groups) to see whether there is already a
mysql
group and mysql
user on the system. Some OS distributions create these as
part of the operating system installation process. If they
are not already present, create a new
mysql
user group, and then add a
mysql
user to this group:
shell>groupadd mysql
shell>useradd -g mysql -s /bin/false mysql
The syntax for useradd and groupadd may differ slightly on different versions of Unix, or they may have different names such as adduser and addgroup.
Change location to the directory containing the downloaded
file, unpack the archive, and create a symbolic link named
mysql
to the mysql
directory.
The actual file and directory names vary according to the MySQL Cluster version number.
shell>cd /var/tmp
shell>tar -C /usr/local -xzvf mysql-cluster-gpl-7.5.2-linux2.6.tar.gz
shell>ln -s /usr/local/mysql-cluster-gpl-7.5.2-linux2.6-i686 /usr/local/mysql
Change location to the mysql
directory
and run the supplied script for creating the system
databases:
shell>cd mysql
shell>scripts/mysql_install_db --user=mysql
Set the necessary permissions for the MySQL server and data directories:
shell>chown -R root .
shell>chown -R mysql data
shell>chgrp -R mysql .
Copy the MySQL startup script to the appropriate directory, make it executable, and set it to start when the operating system is booted up:
shell>cp support-files/mysql.server /etc/rc.d/init.d/
shell>chmod +x /etc/rc.d/init.d/mysql.server
shell>chkconfig --add mysql.server
(The startup scripts directory may vary depending on your
operating system and version—for example, in some
Linux distributions, it is
/etc/init.d
.)
Here we use Red Hat's chkconfig for creating links to the startup scripts; use whatever means is appropriate for this purpose on your platform, such as update-rc.d on Debian.
Remember that the preceding steps must be repeated on each machine where an SQL node is to reside.
Data nodes.
Installation of the data nodes does not require the
mysqld binary. Only the MySQL Cluster data
node executable ndbd (single-threaded) or
ndbmtd (multi-threaded) is required. These
binaries can also be found in the .tar.gz
archive. Again, we assume that you have placed this archive in
/var/tmp
.
As system root
(that is, after using
sudo, su root, or your
system's equivalent for temporarily assuming the system
administrator account's privileges), perform the following steps
to install the data node binaries on the data node hosts:
Change location to the /var/tmp
directory, and extract the ndbd and
ndbmtd binaries from the archive into a
suitable directory such as
/usr/local/bin
:
shell>cd /var/tmp
shell>tar -zxvf mysql-5.7.11-ndb-7.5.2-linux-i686-glibc23.tar.gz
shell>cd mysql-5.7.11-ndb-7.5.2-linux-i686-glibc23
shell>cp bin/ndbd /usr/local/bin/ndbd
shell>cp bin/ndbmtd /usr/local/bin/ndbmtd
(You can safely delete the directory created by unpacking
the downloaded archive, and the files it contains, from
/var/tmp
once
ndb_mgm and ndb_mgmd
have been copied to the executables directory.)
Change location to the directory into which you copied the files, and then make both of them executable:
shell>cd /usr/local/bin
shell>chmod +x ndb*
The preceding steps should be repeated on each data node host.
Although only one of the data node executables is required to run a MySQL Cluster data node, we have shown you how to install both ndbd and ndbmtd in the preceding instructions. We recommend that you do this when installing or upgrading MySQL Cluster, even if you plan to use only one of them, since this will save time and trouble in the event that you later decide to change from one to the other.
The data directory on each machine hosting a data node is
/usr/local/mysql/data
. This piece of
information is essential when configuring the management node.
(See Section 18.2.4, “Initial Configuration of MySQL Cluster”.)
Management nodes.
Installation of the management node does not require the
mysqld binary. Only the MySQL Cluster
management server (ndb_mgmd) is required;
you most likely want to install the management client
(ndb_mgm) as well. Both of these binaries
also be found in the .tar.gz
archive.
Again, we assume that you have placed this archive in
/var/tmp
.
As system root
, perform the following steps
to install ndb_mgmd and
ndb_mgm on the management node host:
Change location to the /var/tmp
directory, and extract the ndb_mgm and
ndb_mgmd from the archive into a suitable
directory such as /usr/local/bin
:
shell>cd /var/tmp
shell>tar -zxvf mysql-5.7.11-ndb-7.5.2-linux2.6-i686.tar.gz
shell>cd mysql-5.7.11-ndb-7.5.2-linux2.6-i686
shell>cp bin/ndb_mgm* /usr/local/bin
(You can safely delete the directory created by unpacking
the downloaded archive, and the files it contains, from
/var/tmp
once
ndb_mgm and ndb_mgmd
have been copied to the executables directory.)
Change location to the directory into which you copied the files, and then make both of them executable:
shell>cd /usr/local/bin
shell>chmod +x ndb_mgm*
In Section 18.2.4, “Initial Configuration of MySQL Cluster”, we create configuration files for all of the nodes in our example MySQL Cluster.
This section covers the steps necessary to install the correct executables for each type of MySQL Cluster node using RPM packages supplied by Oracle.
RPMs are available for both 32-bit and 64-bit Linux platforms. The filenames for these RPMs use the following pattern:
MySQL-Cluster-component
-producttype
-ndbversion
.distribution
.architecture
.rpmcomponent
:= {server | client [|other
]}producttype
:= {gpl | advanced}ndbversion
:=major
.minor
.release
distribution
:= {sles10 | rhel5 | el6}architecture
:= {i386 | x86_64}
The component
can be
server
or client
. (Other
values are possible, but since only the
server
and client
components are required for a working MySQL Cluster
installation, we do not discuss them here.) The
producttype
for Community RPMs
downloaded from http://dev.mysql.com/downloads/cluster/ is
always gpl
; advanced
is
used to indicate commercial releases.
ndbversion
represents the three-part
NDB
storage engine version number in
7.5.x
format. The
distribution
can be one of
sles11
(SUSE Enterprise Linux 11),
rhel5
(Oracle Linux 5, Red Hat Enterprise
Linux 4 and 5), or el6
(Oracle Linux 6, Red
Hat Enterprise Linux 6) The
architecture
is
i386
for 32-bit RPMs and
x86_64
for 64-bit versions.
For a MySQL Cluster, one and possibly two RPMs are required:
The server
RPM (for example,
MySQL-Cluster-server-gpl-7.5.2-1.sles11.i386.rpm
),
which supplies the core files needed to run a MySQL Server
with NDBCLUSTER
storage engine
support (that is, as a MySQL Cluster SQL node) as well as
all MySQL Cluster executables, including the management
node, data node, and ndb_mgm client
binaries. This RPM is always required for installing MySQL
Cluster.
If you do not have your own client application capable of
administering a MySQL server, you should also obtain and
install the client
RPM (for example,
MySQL-Cluster-client-gpl-7.5.2-1.sles11.i386.rpm
),
which supplies the mysql client
The MySQL Cluster version number in the RPM file names (shown
here as 7.5.2
) can vary
according to the version which you are actually using.
It is very important that all of the Cluster RPMs to
be installed have the same version number. The
architecture
designation should also
be appropriate to the machine on which the RPM is to be
installed; in particular, you should keep in mind that 64-bit
RPMs cannot be used with 32-bit operating system.
Data nodes.
On a computer that is to host a cluster data node it is
necessary to install only the server
RPM.
To do so, copy this RPM to the data node host, and run the
following command as the system root user, replacing the name
shown for the RPM as necessary to match that of the RPM
downloaded from the MySQL web site:
shell> rpm -Uhv MySQL-Cluster-server-gpl-7.5.2-1.sles11.i386.rpm
Although this installs all MySQL Cluster binaries, only the
program ndbd or ndbmtd
(both in /usr/sbin
) is actually needed to
run a MySQL Cluster data node.
SQL nodes.
On each machine to be used for hosting a cluster SQL node,
install the server
RPM by executing the
following command as the system root user, replacing the name
shown for the RPM as necessary to match the name of the RPM
downloaded from the MySQL web site:
shell> rpm -Uhv MySQL-Cluster-server-gpl-7.5.2-1.sles11.i386.rpm
This installs the MySQL server binary
(mysqld) with
NDB
storage engine support in the
/usr/sbin
directory, as well as all needed
MySQL Server support files. It also installs the
mysql.server and
mysqld_safe startup scripts (in
/usr/share/mysql
and
/usr/bin
, respectively). The RPM installer
should take care of general configuration issues (such as
creating the mysql
user and group, if needed)
automatically.
To administer the SQL node (MySQL server), you should also
install the client
RPM, as shown here:
shell> rpm -Uhv MySQL-Cluster-client-gpl-7.5.2-1.sles11.i386.rpm
This installs the mysql client program.
Management nodes.
To install the MySQL Cluster management server, it is
necessary only to use the server
RPM. Copy
this RPM to the computer intended to host the management node,
and then install it by running the following command as the
system root user (replace the name shown for the RPM as
necessary to match that of the server
RPM
downloaded from the MySQL web site):
shell> rpm -Uhv MySQL-Cluster-server-gpl-7.5.2-1.sles11.i386.rpm
Although this RPM installs many other files, only the management
server binary ndb_mgmd (in the
/usr/sbin
directory) is actually required
for running a management node. The server
RPM
also installs ndb_mgm, the
NDB
management client.
See Section 2.5.5, “Installing MySQL on Linux Using RPM Packages from Oracle”, for general information about installing MySQL using RPMs supplied by Oracle.
After installing from RPM, you still need to configure the cluster as discussed in Section 18.2.4, “Initial Configuration of MySQL Cluster”.
The section provides information about installing MySQL Cluster on Debian and related Linux distributions such Ubuntu using the .deb files supplied by Oracle for this purpose.
Oracle provides .deb
installer files for
MySQL Cluster NDB 7.5 for 32-bit and 64-bit platforms. For a
Debian-based system, only a single installer file is necessary.
This file is named using the pattern shown here, according to
the applicable MySQL Cluster version, Debian version, and
architecture:
mysql-cluster-gpl-ndbver
-debiandebianver
-arch
.deb
Here, ndbver
is the 3-part
NDB
engine version number,
debianver
is the major version of
Debian (6.0
or 7
), and
arch
is one of
i686
or x86_64
.
In the examples that follow, we assume you wish to install MySQL
Cluster NDB 7.5.0 on a 64-bit Debian 7 system; in this case, the
installer file is named
mysql-cluster-gpl-7.5.0-debian7-x86_64.deb
.
Once you have downloaded the appropriate
.deb
file, you can install it from the
command line using dpkg
, like this:
shell> dpkg -i mysql-cluster-gpl-7.5.0-debian7-i686.deb
You can also remove it using dpkg
as shown
here:
shell> dpkg -r mysql
The installer file should also be compatible with most graphical
package managers that work with .deb
files,
such as GDebi
for the Gnome desktop.
The .deb
file installs MySQL Cluster under
/opt/mysql/server-
,
where version
/version
is the 2-part release
series version for the included MySQL server. For MySQL Cluster
NDB 7.5, this is always 5.7
. The directory
layout is the same as that for the generic Linux binary
distribution (see Table 2.3, “MySQL Installation Layout for Generic Unix/Linux Binary Package”),
with the exception that startup scripts and configuration files
are found in support-files
instead of
share
. All MySQL Cluster executables, such
as ndb_mgm, ndbd, and
ndb_mgmd, are placed in the
bin
directory.
This section provides information about compiling MySQL Cluster on Linux and other Unix-like platforms. Building MySQL Cluster from source is similar to building the standard MySQL Server, although it differs in a few key respects discussed here. For general information about building MySQL from source, see Section 2.9, “Installing MySQL from Source”. For information about compiling MySQL Cluster on Windows platforms, see Section 18.2.3.2, “Compiling and Installing MySQL Cluster from Source on Windows”.
Building MySQL Cluster requires using the MySQL Cluster sources.
These are available from the MySQL Cluster downloads page at
http://dev.mysql.com/downloads/cluster/. The archived source
file should have a name similar to
mysql-cluster-gpl-7.5.2.tar.gz
.
You can also obtain MySQL development sources from
launchpad.net. Building MySQL Cluster
from standard MySQL Server 5.7 sources is not
supported.
The WITH_NDBCLUSTER_STORAGE_ENGINE
option for CMake causes the binaries for the
management nodes, data nodes, and other MySQL Cluster programs
to be built; it also causes mysqld to be
compiled with NDB
storage engine
support. This option (or its alias
WITH_NDBCLUSTER
) is required when
building MySQL Cluster.
The WITH_NDB_JAVA
option is
enabled by default. This means that, by default, if
CMake cannot find the location of Java on
your system, the configuration process fails; if you do not
wish to enable Java and ClusterJ support, you must indicate
this explicitly by configuring the build using
-DWITH_NDB_JAVA=OFF
. Use
WITH_CLASSPATH
to provide the
Java classpath if needed.
For more information about CMake options specific to building MySQL Cluster, see Options for Compiling MySQL Cluster.
After you have run make && make install (or your system's equivalent), the result is similar to what is obtained by unpacking a precompiled binary to the same location.
Management nodes.
When building from source and running the default
make install, the management server and
management client binaries (ndb_mgmd and
ndb_mgm) can be found in
/usr/local/mysql/bin
. Only
ndb_mgmd is required to be present on a
management node host; however, it is also a good idea to have
ndb_mgm present on the same host machine.
Neither of these executables requires a specific location on
the host machine's file system.
Data nodes.
The only executable required on a data node host is the data
node binary ndbd or
ndbmtd. (mysqld, for
example, does not have to be present on the host machine.) By
default, when building from source, this file is placed in the
directory /usr/local/mysql/bin
. For
installing on multiple data node hosts, only
ndbd or ndbmtd need be
copied to the other host machine or machines. (This assumes
that all data node hosts use the same architecture and
operating system; otherwise you may need to compile separately
for each different platform.) The data node binary need not be
in any particular location on the host's file system, as long
as the location is known.
When compiling MySQL Cluster from source, no special options are
required for building multi-threaded data node binaries.
Configuring the build with NDB
storage engine support causes ndbmtd to be
built automatically; make install places the
ndbmtd binary in the installation
bin
directory along with
mysqld, ndbd, and
ndb_mgm.
SQL nodes.
If you compile MySQL with clustering support, and perform the
default installation (using make install as
the system root
user),
mysqld is placed in
/usr/local/mysql/bin
. Follow the steps
given in Section 2.9, “Installing MySQL from Source” to make
mysqld ready for use. If you want to run
multiple SQL nodes, you can use a copy of the same
mysqld executable and its associated
support files on several machines. The easiest way to do this
is to copy the entire /usr/local/mysql
directory and all directories and files contained within it to
the other SQL node host or hosts, then repeat the steps from
Section 2.9, “Installing MySQL from Source” on each machine. If you
configure the build with a nondefault PREFIX
option, you must adjust the directory accordingly.
In Section 18.2.4, “Initial Configuration of MySQL Cluster”, we create configuration files for all of the nodes in our example MySQL Cluster.
This section describes installation procedures for MySQL Cluster on Windows hosts. MySQL Cluster NDB 7.5 binaries for Windows can be obtained from http://dev.mysql.com/downloads/cluster/. For information about installing MySQL Cluster on Windows from a binary release provided by Oracle, see Section 18.2.3.1, “Installing MySQL Cluster on Windows from a Binary Release”.
It is also possible to compile and install MySQL Cluster from source on Windows using Microsoft Visual Studio. For more information, see Section 18.2.3.2, “Compiling and Installing MySQL Cluster from Source on Windows”.
This section describes a basic installation of MySQL Cluster on
Windows using a binary no-install
MySQL
Cluster release provided by Oracle, using the same 4-node setup
outlined in the beginning of this section (see
Section 18.2, “MySQL Cluster Installation”), as shown in the
following table:
Node | IP Address |
---|---|
Management (MGMD) node | 192.168.0.10 |
MySQL server (SQL) node | 192.168.0.20 |
Data (NDBD) node "A" | 192.168.0.30 |
Data (NDBD) node "B" | 192.168.0.40 |
As on other platforms, the MySQL Cluster host computer running an SQL node must have installed on it a MySQL Server binary (mysqld.exe). You should also have the MySQL client (mysql.exe) on this host. For management nodes and data nodes, it is not necessary to install the MySQL Server binary; however, each management node requires the management server daemon (ndb_mgmd.exe); each data node requires the data node daemon (ndbd.exe or ndbmtd.exe). For this example, we refer to ndbd.exe as the data node executable, but you can install ndbmtd.exe, the multi-threaded version of this program, instead, in exactly the same way. You should also install the management client (ndb_mgm.exe) on the management server host. This section covers the steps necessary to install the correct Windows binaries for each type of MySQL Cluster node.
As with other Windows programs, MySQL Cluster executables are
named with the .exe
file extension.
However, it is not necessary to include the
.exe
extension when invoking these
programs from the command line. Therefore, we often simply
refer to these programs in this documentation as
mysqld, mysql,
ndb_mgmd, and so on. You should understand
that, whether we refer (for example) to
mysqld or mysqld.exe,
either name means the same thing (the MySQL Server program).
For setting up a MySQL Cluster using Oracles's
no-install
binaries, the first step in the
installation process is to download the latest MySQL Cluster
Windows binary archive from
http://dev.mysql.com/downloads/cluster/. This archive has a
filename of the form
mysql-cluster-gpl-noinstall-
,
where ver
-winarch
.zipver
is the
NDB
storage engine version (such as
7.5.2
), and
arch
is the architecture
(32
for 32-bit binaries, and
64
for 64-bit binaries). For example, the
MySQL Cluster NDB 7.5.2
no-install
archive for 32-bit Windows systems
is named
mysql-cluster-gpl-noinstall-7.5.2-win32.zip
.
You can run 32-bit MySQL Cluster binaries on both 32-bit and 64-bit versions of Windows; however, 64-bit MySQL Cluster binaries can be used only on 64-bit versions of Windows. If you are using a 32-bit version of Windows on a computer that has a 64-bit CPU, then you must use the 32-bit MySQL Cluster binaries.
To minimize the number of files that need to be downloaded from the Internet or copied between machines, we start with the computer where you intend to run the SQL node.
SQL node.
We assume that you have placed a copy of the
no-install
archive in the directory
C:\Documents and
Settings\
on the computer having the IP
address 192.168.0.20, where
username
\My
Documents\Downloadsusername
is the name of the current
user. (You can obtain this name using ECHO
%USERNAME%
on the command line.) To install and run
MySQL Cluster executables as Windows services, this user
should be a member of the Administrators
group.
Extract all the files from the archive. The Extraction Wizard
integrated with Windows Explorer is adequate for this task. (If
you use a different archive program, be sure that it extracts
all files and directories from the archive, and that it
preserves the archive's directory structure.) When you are
asked for a destination directory, enter
C:\
, which causes the Extraction Wizard to
extract the archive to the directory
C:\mysql-cluster-gpl-noinstall-
.
Rename this directory to ver
-winarch
C:\mysql
.
It is possible to install the MySQL Cluster binaries to
directories other than C:\mysql\bin
;
however, if you do so, you must modify the paths shown in this
procedure accordingly. In particular, if the MySQL Server (SQL
node) binary is installed to a location other than
C:\mysql
or C:\Program
Files\MySQL\MySQL Server 5.7
, or if the
SQL node's data directory is in a location other than
C:\mysql\data
or C:\Program
Files\MySQL\MySQL Server 5.7\data
, extra
configuration options must be used on the command line or added
to the my.ini
or
my.cnf
file when starting the SQL node. For
more information about configuring a MySQL Server to run in a
nonstandard location, see
Section 2.3.5, “Installing MySQL on Microsoft Windows Using a noinstall Zip Archive”.
For a MySQL Server with MySQL Cluster support to run as part of
a MySQL Cluster, it must be started with the options
--ndbcluster
and
--ndb-connectstring
. While you
can specify these options on the command line, it is usually
more convenient to place them in an option file. To do this,
create a new text file in Notepad or another text editor. Enter
the following configuration information into this file:
[mysqld] # Options for mysqld process: ndbcluster # run NDB storage engine ndb-connectstring=192.168.0.10 # location of management server
You can add other options used by this MySQL Server if desired
(see Section 2.3.5.2, “Creating an Option File”), but the file
must contain the options shown, at a minimum. Save this file as
C:\mysql\my.ini
. This completes the
installation and setup for the SQL node.
Data nodes.
A MySQL Cluster data node on a Windows host requires only a
single executable, one of either ndbd.exe
or ndbmtd.exe. For this example, we assume
that you are using ndbd.exe, but the same
instructions apply when using ndbmtd.exe.
On each computer where you wish to run a data node (the
computers having the IP addresses 192.168.0.30 and
192.168.0.40), create the directories
C:\mysql
,
C:\mysql\bin
, and
C:\mysql\cluster-data
; then, on the
computer where you downloaded and extracted the
no-install
archive, locate
ndbd.exe
in the
C:\mysql\bin
directory. Copy this file to
the C:\mysql\bin
directory on each of the
two data node hosts.
To function as part of a MySQL Cluster, each data node must be
given the address or hostname of the management server. You can
supply this information on the command line using the
--ndb-connectstring
or
-c
option when starting each data node process.
However, it is usually preferable to put this information in an
option file. To do this, create a new text file in Notepad or
another text editor and enter the following text:
[mysql_cluster] # Options for data node process: ndb-connectstring=192.168.0.10 # location of management server
Save this file as C:\mysql\my.ini
on the
data node host. Create another text file containing the same
information and save it on as
C:mysql\my.ini
on the other data node host,
or copy the my.ini file from the first data node host to the
second one, making sure to place the copy in the second data
node's C:\mysql
directory. Both data
node hosts are now ready to be used in the MySQL Cluster, which
leaves only the management node to be installed and configured.
Management node.
The only executable program required on a computer used for
hosting a MySQL Cluster management node is the management
server program ndb_mgmd.exe. However, in
order to administer the MySQL Cluster once it has been
started, you should also install the MySQL Cluster management
client program ndb_mgm.exe on the same
machine as the management server. Locate these two programs on
the machine where you downloaded and extracted the
no-install
archive; this should be the
directory C:\mysql\bin
on the SQL node
host. Create the directory C:\mysql\bin
on the computer having the IP address 192.168.0.10, then copy
both programs to this directory.
You should now create two configuration files for use by
ndb_mgmd.exe
:
A local configuration file to supply configuration data specific to the management node itself. Typically, this file needs only to supply the location of the MySQL Cluster global configuration file (see item 2).
To create this file, start a new text file in Notepad or another text editor, and enter the following information:
[mysql_cluster] # Options for management node process config-file=C:/mysql/bin/config.ini
Save this file as the text file
C:\mysql\bin\my.ini
.
A global configuration file from which the management node
can obtain configuration information governing the MySQL
Cluster as a whole. At a minimum, this file must contain a
section for each node in the MySQL Cluster, and the IP
addresses or hostnames for the management node and all data
nodes (HostName
configuration parameter).
It is also advisable to include the following additional
information:
The IP address or hostname of any SQL nodes
The data memory and index memory allocated to each data
node (DataMemory
and IndexMemory
configuration parameters)
The number of replicas, using the
NoOfReplicas
configuration parameter (see
Section 18.1.2, “MySQL Cluster Nodes, Node Groups, Replicas, and Partitions”)
The directory where each data node stores it data and
log file, and the directory where the management node
keeps its log files (in both cases, the
DataDir
configuration parameter)
Create a new text file using a text editor such as Notepad, and input the following information:
[ndbd default]
# Options affecting ndbd processes on all data nodes:
NoOfReplicas=2 # Number of replicas
DataDir=C:/mysql/cluster-data # Directory for each data node's data files
# Forward slashes used in directory path,
# rather than backslashes. This is correct;
# see Important note in text
DataMemory=80M # Memory allocated to data storage
IndexMemory=18M # Memory allocated to index storage
# For DataMemory and IndexMemory, we have used the
# default values. Since the "world" database takes up
# only about 500KB, this should be more than enough for
# this example Cluster setup.
[ndb_mgmd]
# Management process options:
HostName=192.168.0.10 # Hostname or IP address of management node
DataDir=C:/mysql/bin/cluster-logs # Directory for management node log files
[ndbd]
# Options for data node "A":
# (one [ndbd] section per data node)
HostName=192.168.0.30 # Hostname or IP address
[ndbd]
# Options for data node "B":
HostName=192.168.0.40 # Hostname or IP address
[mysqld]
# SQL node options:
HostName=192.168.0.20 # Hostname or IP address
Save this file as the text file
C:\mysql\bin\config.ini
.
A single backslash character (\
) cannot be
used when specifying directory paths in program options or
configuration files used by MySQL Cluster on Windows. Instead,
you must either escape each backslash character with a second
backslash (\\
), or replace the backslash
with a forward slash character (/
). For
example, the following line from the
[ndb_mgmd]
section of a MySQL Cluster
config.ini
file does not work:
DataDir=C:\mysql\bin\cluster-logs
Instead, you may use either of the following:
DataDir=C:\\mysql\\bin\\cluster-logs # Escaped backslashes
DataDir=C:/mysql/bin/cluster-logs # Forward slashes
For reasons of brevity and legibility, we recommend that you use forward slashes in directory paths used in MySQL Cluster program options and configuration files on Windows.
Oracle provides precompiled MySQL Cluster binaries for Windows which should be adequate for most users. However, if you wish, it is also possible to compile MySQL Cluster for Windows from source code. The procedure for doing this is almost identical to the procedure used to compile the standard MySQL Server binaries for Windows, and uses the same tools. However, there are two major differences:
To build MySQL Cluster, you must use the MySQL Cluster sources, which you can obtain from http://dev.mysql.com/downloads/cluster/.
Attempting to build MySQL Cluster from the source code for the standard MySQL Server is likely not to be successful, and is not supported by Oracle.
You must configure the build using the
WITH_NDBCLUSTER_STORAGE_ENGINE
or WITH_NDBCLUSTER
option in
addition to any other build options you wish to use with
CMake. (WITH_NDBCLUSTER
is supported as an alias for
WITH_NDBCLUSTER_STORAGE_ENGINE
, and works
in exactly the same way.)
The WITH_NDB_JAVA
option is
enabled by default. This means that, by default, if
CMake cannot find the location of Java on
your system, the configuration process fails; if you do not
wish to enable Java and ClusterJ support, you must indicate
this explicitly by configuring the build using
-DWITH_NDB_JAVA=OFF
. (Bug #12379735) Use
WITH_CLASSPATH
to provide the
Java classpath if needed.
For more information about CMake options specific to building MySQL Cluster, see Options for Compiling MySQL Cluster.
Once the build process is complete, you can create a Zip archive
containing the compiled binaries;
Section 2.9.2, “Installing MySQL Using a Standard Source Distribution” provides the
commands needed to perform this task on Windows systems. The
MySQL Cluster binaries can be found in the
bin
directory of the resulting archive,
which is equivalent to the no-install
archive, and which can be installed and configured in the same
manner. For more information, see
Section 18.2.3.1, “Installing MySQL Cluster on Windows from a Binary Release”.
Once the MySQL Cluster executables and needed configuration files are in place, performing an initial start of the cluster is simply a matter of starting the MySQL Cluster executables for all nodes in the cluster. Each cluster node process must be started separately, and on the host computer where it resides. The management node should be started first, followed by the data nodes, and then finally by any SQL nodes.
On the management node host, issue the following command from the command line to start the management node process. The output should appear similar to what is shown here:
C:\mysql\bin> ndb_mgmd
2010-06-23 07:53:34 [MgmtSrvr] INFO -- NDB Cluster Management Server. mysql-5.7.11-ndb-7.5.2
2010-06-23 07:53:34 [MgmtSrvr] INFO -- Reading cluster configuration from 'config.ini'
The management node process continues to print logging output to the console. This is normal, because the management node is not running as a Windows service. (If you have used MySQL Cluster on a Unix-like platform such as Linux, you may notice that the management node's default behavior in this regard on Windows is effectively the opposite of its behavior on Unix systems, where it runs by default as a Unix daemon process. This behavior is also true of MySQL Cluster data node processes running on Windows.) For this reason, do not close the window in which ndb_mgmd.exe is running; doing so kills the management node process. (See Section 18.2.3.4, “Installing MySQL Cluster Processes as Windows Services”, where we show how to install and run MySQL Cluster processes as Windows services.)
The required -f
option tells the management
node where to find the global configuration file
(config.ini
). The long form of this
option is --config-file
.
A MySQL Cluster management node caches the configuration
data that it reads from config.ini
;
once it has created a configuration cache, it ignores the
config.ini
file on subsequent starts
unless forced to do otherwise. This means that, if the
management node fails to start due to an error in this
file, you must make the management node re-read
config.ini
after you have corrected
any errors in it. You can do this by starting
ndb_mgmd.exe with the
--reload
or
--initial
option on the
command line. Either of these options works to refresh the
configuration cache.
It is not necessary or advisable to use either of these
options in the management node's
my.ini
file.
For additional information about options which can be used with ndb_mgmd, see Section 18.4.4, “ndb_mgmd — The MySQL Cluster Management Server Daemon”, as well as Section 18.4.27, “Options Common to MySQL Cluster Programs — Options Common to MySQL Cluster Programs”.
On each of the data node hosts, run the command shown here to start the data node processes:
C:\mysql\bin> ndbd
2010-06-23 07:53:46 [ndbd] INFO -- Configuration fetched from 'localhost:1186', generation: 1
In each case, the first line of output from the data node process should resemble what is shown in the preceding example, and is followed by additional lines of logging output. As with the management node process, this is normal, because the data node is not running as a Windows service. For this reason, do not close the console window in which the data node process is running; doing so kills ndbd.exe. (For more information, see Section 18.2.3.4, “Installing MySQL Cluster Processes as Windows Services”.)
Do not start the SQL node yet; it cannot connect to the
cluster until the data nodes have finished starting, which
may take some time. Instead, in a new console window on the
management node host, start the MySQL Cluster management
client ndb_mgm.exe, which should be in
C:\mysql\bin
on the management node
host. (Do not try to re-use the console window where
ndb_mgmd.exe is running by typing
CTRL+C, as this kills the
management node.) The resulting output should look like
this:
C:\mysql\bin> ndb_mgm
-- NDB Cluster -- Management Client --
ndb_mgm>
When the prompt ndb_mgm>
appears, this
indicates that the management client is ready to receive
MySQL Cluster management commands. You can observe the
status of the data nodes as they start by entering
ALL STATUS
at the management client
prompt. This command causes a running report of the data
nodes's startup sequence, which should look something
like this:
ndb_mgm> ALL STATUS
Connected to Management Server at: localhost:1186
Node 2: starting (Last completed phase 3) (mysql-5.7.11-ndb-7.5.2)
Node 3: starting (Last completed phase 3) (mysql-5.7.11-ndb-7.5.2)
Node 2: starting (Last completed phase 4) (mysql-5.7.11-ndb-7.5.2)
Node 3: starting (Last completed phase 4) (mysql-5.7.11-ndb-7.5.2)
Node 2: Started (version 7.5.2)
Node 3: Started (version 7.5.2)
ndb_mgm>
Commands issued in the management client are not case-sensitive; we use uppercase as the canonical form of these commands, but you are not required to observe this convention when inputting them into the ndb_mgm client. For more information, see Section 18.5.2, “Commands in the MySQL Cluster Management Client”.
The output produced by ALL STATUS
is
likely to vary from what is shown here, according to the
speed at which the data nodes are able to start, the release
version number of the MySQL Cluster software you are using,
and other factors. What is significant is that, when you see
that both data nodes have started, you are ready to start
the SQL node.
You can leave ndb_mgm.exe running; it has no negative impact on the performance of the MySQL Cluster, and we use it in the next step to verify that the SQL node is connected to the cluster after you have started it.
On the computer designated as the SQL node host, open a
console window and navigate to the directory where you
unpacked the MySQL Cluster binaries (if you are following
our example, this is C:\mysql\bin
).
Start the SQL node by invoking mysqld.exe from the command line, as shown here:
C:\mysql\bin> mysqld --console
The --console
option causes
logging information to be written to the console, which can
be helpful in the event of problems. (Once you are satisfied
that the SQL node is running in a satisfactory manner, you
can stop it and restart it out without the
--console
option, so that
logging is performed normally.)
In the console window where the management client
(ndb_mgm.exe) is running on the
management node host, enter the SHOW
command, which should produce output similar to what is
shown here:
ndb_mgm> SHOW
Connected to Management Server at: localhost:1186
Cluster Configuration
---------------------
[ndbd(NDB)] 2 node(s)
id=2 @192.168.0.30 (Version: 5.7.11-ndb-7.5.2, Nodegroup: 0, *)
id=3 @192.168.0.40 (Version: 5.7.11-ndb-7.5.2, Nodegroup: 0)
[ndb_mgmd(MGM)] 1 node(s)
id=1 @192.168.0.10 (Version: 5.7.11-ndb-7.5.2)
[mysqld(API)] 1 node(s)
id=4 @192.168.0.20 (Version: 5.7.11-ndb-7.5.2)
You can also verify that the SQL node is connected to the
MySQL Cluster in the mysql client
(mysql.exe) using the
SHOW ENGINE NDB STATUS
statement.
You should now be ready to work with database objects and data
using MySQL Cluster's
NDBCLUSTER
storage engine. See
Section 18.2.6, “MySQL Cluster Example with Tables and Data”, for more
information and examples.
You can also install ndb_mgmd.exe, ndbd.exe, and ndbmtd.exe as Windows services. For information on how to do this, see Section 18.2.3.4, “Installing MySQL Cluster Processes as Windows Services”).
Once you are satisfied that MySQL Cluster is running as desired, you can install the management nodes and data nodes as Windows services, so that these processes are started and stopped automatically whenever Windows is started or stopped. This also makes it possible to control these processes from the command line with the appropriate NET START or NET STOP command, or using the Windows graphical Services utility.
Installing programs as Windows services usually must be done using an account that has Administrator rights on the system.
To install the management node as a service on Windows, invoke
ndb_mgmd.exe from the command line on the
machine hosting the management node, using the
--install
option, as shown
here:
C:\> C:\mysql\bin\ndb_mgmd.exe --install
Installing service 'MySQL Cluster Management Server'
as '"C:\mysql\bin\ndbd.exe" "--service=ndb_mgmd"'
Service successfully installed.
When installing a MySQL Cluster program as a Windows service, you should always specify the complete path; otherwise the service installation may fail with the error The system cannot find the file specified.
The --install
option must be
used first, ahead of any other options that might be specified
for ndb_mgmd.exe. However, it is preferable
to specify such options in an options file instead. If your
options file is not in one of the default locations as shown in
the output of ndb_mgmd.exe
--help
, you can specify the
location using the
--config-file
option.
Now you should be able to start and stop the management server like this:
C:\>NET START ndb_mgmd
The MySQL Cluster Management Server service is starting. The MySQL Cluster Management Server service was started successfully. C:\>NET STOP ndb_mgmd
The MySQL Cluster Management Server service is stopping.. The MySQL Cluster Management Server service was stopped successfully.
You can also start or stop the management server as a Windows service using the descriptive name, as shown here:
C:\>NET START 'MySQL Cluster Management Server'
The MySQL Cluster Management Server service is starting. The MySQL Cluster Management Server service was started successfully. C:\>NET STOP 'MySQL Cluster Management Server'
The MySQL Cluster Management Server service is stopping.. The MySQL Cluster Management Server service was stopped successfully.
However, it is usually simpler to specify a short service name
or to permit the default service name to be used when installing
the service, and then reference that name when starting or
stopping the service. To specify a service name other than
ndb_mgmd
, append it to the
--install
option, as shown in
this example:
C:\> C:\mysql\bin\ndb_mgmd.exe --install=mgmd1
Installing service 'MySQL Cluster Management Server'
as '"C:\mysql\bin\ndb_mgmd.exe" "--service=mgmd1"'
Service successfully installed.
Now you should be able to start or stop the service using the name you have specified, like this:
C:\>NET START mgmd1
The MySQL Cluster Management Server service is starting. The MySQL Cluster Management Server service was started successfully. C:\>NET STOP mgmd1
The MySQL Cluster Management Server service is stopping.. The MySQL Cluster Management Server service was stopped successfully.
To remove the management node service, invoke
ndb_mgmd.exe with the
--remove
option, as shown here:
C:\> C:\mysql\bin\ndb_mgmd.exe --remove
Removing service 'MySQL Cluster Management Server'
Service successfully removed.
If you installed the service using a service name other than the
default, you can remove the service by passing this name as the
value of the --remove
option,
like this:
C:\> C:\mysql\bin\ndb_mgmd.exe --remove=mgmd1
Removing service 'mgmd1'
Service successfully removed.
Installation of a MySQL Cluster data node process as a Windows
service can be done in a similar fashion, using the
--install
option for
ndbd.exe (or ndbmtd.exe),
as shown here:
C:\> C:\mysql\bin\ndbd.exe --install
Installing service 'MySQL Cluster Data Node Daemon' as '"C:\mysql\bin\ndbd.exe" "--service=ndbd"'
Service successfully installed.
Now you can start or stop the data node using either the default service name or the descriptive name with net start or net stop, as shown in the following example:
C:\>NET START ndbd
The MySQL Cluster Data Node Daemon service is starting. The MySQL Cluster Data Node Daemon service was started successfully. C:\>NET STOP ndbd
The MySQL Cluster Data Node Daemon service is stopping.. The MySQL Cluster Data Node Daemon service was stopped successfully. C:\>NET START 'MySQL Cluster Data Node Daemon'
The MySQL Cluster Data Node Daemon service is starting. The MySQL Cluster Data Node Daemon service was started successfully. C:\>NET STOP 'MySQL Cluster Data Node Daemon'
The MySQL Cluster Data Node Daemon service is stopping.. The MySQL Cluster Data Node Daemon service was stopped successfully.
To remove the data node service, invoke
ndbd.exe with the
--remove
option, as shown here:
C:\> C:\mysql\bin\ndbd.exe --remove
Removing service 'MySQL Cluster Data Node Daemon'
Service successfully removed.
As with ndb_mgmd.exe (and
mysqld.exe), when installing
ndbd.exe as a Windows service, you can also
specify a name for the service as the value of
--install
, and then use it when
starting or stopping the service, like this:
C:\>C:\mysql\bin\ndbd.exe --install=dnode1
Installing service 'dnode1' as '"C:\mysql\bin\ndbd.exe" "--service=dnode1"' Service successfully installed. C:\>NET START dnode1
The MySQL Cluster Data Node Daemon service is starting. The MySQL Cluster Data Node Daemon service was started successfully. C:\>NET STOP dnode1
The MySQL Cluster Data Node Daemon service is stopping.. The MySQL Cluster Data Node Daemon service was stopped successfully.
If you specified a service name when installing the data node
service, you can use this name when removing it as well, by
passing it as the value of the
--remove
option, as shown here:
C:\> C:\mysql\bin\ndbd.exe --remove=dnode1
Removing service 'dnode1'
Service successfully removed.
Installation of the SQL node as a Windows service, starting the
service, stopping the service, and removing the service are done
in a similar fashion, using mysqld
--install
, NET START,
NET STOP, and mysqld
--remove
. For additional
information, see Section 2.3.5.8, “Starting MySQL as a Windows Service”.
In this section, we discuss manual configuration of an installed MySQL Cluster by creating and editing configuration files.
MySQL Cluster also provides a GUI installer which can be used to perform the configuration without the need to edit text files in a separate application. For more information, see Section 18.2.1, “The MySQL Cluster Auto-Installer”.
For our four-node, four-host MySQL Cluster (see Cluster nodes and host computers), it is necessary to write four configuration files, one per node host.
Each data node or SQL node requires a
my.cnf
file that provides two pieces of
information: a connection
string that tells the node where to find the
management node, and a line telling the MySQL server on this
host (the machine hosting the data node) to enable the
NDBCLUSTER
storage engine.
For more information on connection strings, see Section 18.3.3.3, “MySQL Cluster Connection Strings”.
The management node needs a config.ini
file telling it how many replicas to maintain, how much memory
to allocate for data and indexes on each data node, where to
find the data nodes, where to save data to disk on each data
node, and where to find any SQL nodes.
Configuring the data nodes and SQL nodes.
The my.cnf
file needed for the data nodes
is fairly simple. The configuration file should be located in
the /etc
directory and can be edited using
any text editor. (Create the file if it does not exist.) For
example:
shell> vi /etc/my.cnf
We show vi being used here to create the file, but any text editor should work just as well.
For each data node and SQL node in our example setup,
my.cnf
should look like this:
[mysqld] # Options for mysqld process: ndbcluster # run NDB storage engine [mysql_cluster] # Options for MySQL Cluster processes: ndb-connectstring=192.168.0.10 # location of management server
After entering the preceding information, save this file and exit the text editor. Do this for the machines hosting data node “A”, data node “B”, and the SQL node.
Once you have started a mysqld process with
the ndbcluster
and
ndb-connectstring
parameters in the
[mysqld]
and
[mysql_cluster]
sections of the
my.cnf
file as shown previously, you cannot
execute any CREATE TABLE
or
ALTER TABLE
statements without
having actually started the cluster. Otherwise, these statements
will fail with an error. This is by design.
Configuring the management node.
The first step in configuring the management node is to create
the directory in which the configuration file can be found and
then to create the file itself. For example (running as
root
):
shell>mkdir /var/lib/mysql-cluster
shell>cd /var/lib/mysql-cluster
shell>vi config.ini
For our representative setup, the config.ini
file should read as follows:
[ndbd default] # Options affecting ndbd processes on all data nodes: NoOfReplicas=2 # Number of replicas DataMemory=80M # How much memory to allocate for data storage IndexMemory=18M # How much memory to allocate for index storage # For DataMemory and IndexMemory, we have used the # default values. Since the "world" database takes up # only about 500KB, this should be more than enough for # this example Cluster setup. [tcp default] # TCP/IP options: portnumber=2202 # This the default; however, you can use any # port that is free for all the hosts in the cluster # Note: It is recommended that you do not specify the port # number at all and simply allow the default value to be used # instead [ndb_mgmd] # Management process options: hostname=192.168.0.10 # Hostname or IP address of MGM node datadir=/var/lib/mysql-cluster # Directory for MGM node log files [ndbd] # Options for data node "A": # (one [ndbd] section per data node) hostname=192.168.0.30 # Hostname or IP address datadir=/usr/local/mysql/data # Directory for this data node's data files [ndbd] # Options for data node "B": hostname=192.168.0.40 # Hostname or IP address datadir=/usr/local/mysql/data # Directory for this data node's data files [mysqld] # SQL node options: hostname=192.168.0.20 # Hostname or IP address # (additional mysqld connections can be # specified for this node for various # purposes such as running ndb_restore)
The world
database can be downloaded from
http://dev.mysql.com/doc/, where it can be found listed
under “Examples”.
After all the configuration files have been created and these minimal options have been specified, you are ready to proceed with starting the cluster and verifying that all processes are running. We discuss how this is done in Section 18.2.5, “Initial Startup of MySQL Cluster”.
For more detailed information about the available MySQL Cluster configuration parameters and their uses, see Section 18.3.3, “MySQL Cluster Configuration Files”, and Section 18.3, “Configuration of MySQL Cluster”. For configuration of MySQL Cluster as relates to making backups, see Section 18.5.3.3, “Configuration for MySQL Cluster Backups”.
The default port for Cluster management nodes is 1186; the default port for data nodes is 2202. However, the cluster can automatically allocate ports for data nodes from those that are already free.
Starting the cluster is not very difficult after it has been configured. Each cluster node process must be started separately, and on the host where it resides. The management node should be started first, followed by the data nodes, and then finally by any SQL nodes:
On the management host, issue the following command from the system shell to start the management node process:
shell> ndb_mgmd -f /var/lib/mysql-cluster/config.ini
The first time that it is started, ndb_mgmd
must be told where to find its configuration file, using the
-f
or
--config-file
option. (See
Section 18.4.4, “ndb_mgmd — The MySQL Cluster Management Server Daemon”, for
details.)
For additional options which can be used with ndb_mgmd, see Section 18.4.27, “Options Common to MySQL Cluster Programs — Options Common to MySQL Cluster Programs”.
On each of the data node hosts, run this command to start the ndbd process:
shell> ndbd
If you used RPM files to install MySQL on the cluster host where the SQL node is to reside, you can (and should) use the supplied startup script to start the MySQL server process on the SQL node.
If all has gone well, and the cluster has been set up correctly, the cluster should now be operational. You can test this by invoking the ndb_mgm management node client. The output should look like that shown here, although you might see some slight differences in the output depending upon the exact version of MySQL that you are using:
shell>ndb_mgm
-- NDB Cluster -- Management Client -- ndb_mgm>SHOW
Connected to Management Server at: localhost:1186 Cluster Configuration --------------------- [ndbd(NDB)] 2 node(s) id=2 @192.168.0.30 (Version: 5.7.11-ndb-7.5.2, Nodegroup: 0, *) id=3 @192.168.0.40 (Version: 5.7.11-ndb-7.5.2, Nodegroup: 0) [ndb_mgmd(MGM)] 1 node(s) id=1 @192.168.0.10 (Version: 5.7.11-ndb-7.5.2) [mysqld(API)] 1 node(s) id=4 @192.168.0.20 (Version: 5.7.11-ndb-7.5.2)
The SQL node is referenced here as
[mysqld(API)]
, which reflects the fact that the
mysqld process is acting as a MySQL Cluster API
node.
The IP address shown for a given MySQL Cluster SQL or other API
node in the output of SHOW
is the address used by the SQL or API node to connect to the
cluster data nodes, and not to any management node.
You should now be ready to work with databases, tables, and data in MySQL Cluster. See Section 18.2.6, “MySQL Cluster Example with Tables and Data”, for a brief discussion.
The information in this section applies to MySQL Cluster running on both Unix and Windows platforms.
Working with database tables and data in MySQL Cluster is not much different from doing so in standard MySQL. There are two key points to keep in mind:
For a table to be replicated in the cluster, it must use the
NDBCLUSTER
storage engine. To
specify this, use the ENGINE=NDBCLUSTER
or
ENGINE=NDB
option when creating the table:
CREATE TABLEtbl_name
(col_name
column_definitions
) ENGINE=NDBCLUSTER;
Alternatively, for an existing table that uses a different
storage engine, use ALTER TABLE
to change the table to use
NDBCLUSTER
:
ALTER TABLE tbl_name
ENGINE=NDBCLUSTER;
Every NDBCLUSTER
table has a
primary key. If no primary key is defined by the user when a
table is created, the NDBCLUSTER
storage engine automatically generates a hidden one. Such a
key takes up space just as does any other table index. (It is
not uncommon to encounter problems due to insufficient memory
for accommodating these automatically created indexes.)
If you are importing tables from an existing database using the
output of mysqldump, you can open the SQL
script in a text editor and add the ENGINE
option to any table creation statements, or replace any existing
ENGINE
options. Suppose that you have the
world
sample database on another MySQL server
that does not support MySQL Cluster, and you want to export the
City
table:
shell> mysqldump --add-drop-table world City > city_table.sql
The resulting city_table.sql
file will
contain this table creation statement (and the
INSERT
statements necessary to
import the table data):
DROP TABLE IF EXISTS `City`;
CREATE TABLE `City` (
`ID` int(11) NOT NULL auto_increment,
`Name` char(35) NOT NULL default '',
`CountryCode` char(3) NOT NULL default '',
`District` char(20) NOT NULL default '',
`Population` int(11) NOT NULL default '0',
PRIMARY KEY (`ID`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
INSERT INTO `City` VALUES (1,'Kabul','AFG','Kabol',1780000);
INSERT INTO `City` VALUES (2,'Qandahar','AFG','Qandahar',237500);
INSERT INTO `City` VALUES (3,'Herat','AFG','Herat',186800);
(remaining INSERT statements omitted)
You need to make sure that MySQL uses the
NDBCLUSTER
storage engine for this
table. There are two ways that this can be accomplished. One of
these is to modify the table definition
before importing it into the Cluster
database. Using the City
table as an example,
modify the ENGINE
option of the definition as
follows:
DROP TABLE IF EXISTS `City`;
CREATE TABLE `City` (
`ID` int(11) NOT NULL auto_increment,
`Name` char(35) NOT NULL default '',
`CountryCode` char(3) NOT NULL default '',
`District` char(20) NOT NULL default '',
`Population` int(11) NOT NULL default '0',
PRIMARY KEY (`ID`)
) ENGINE=NDBCLUSTER DEFAULT CHARSET=latin1;
INSERT INTO `City` VALUES (1,'Kabul','AFG','Kabol',1780000);
INSERT INTO `City` VALUES (2,'Qandahar','AFG','Qandahar',237500);
INSERT INTO `City` VALUES (3,'Herat','AFG','Herat',186800);
(remaining INSERT statements omitted)
This must be done for the definition of each table that is to be
part of the clustered database. The easiest way to accomplish this
is to do a search-and-replace on the file that contains the
definitions and replace all instances of
TYPE=
or
engine_name
ENGINE=
with engine_name
ENGINE=NDBCLUSTER
. If you do not want to
modify the file, you can use the unmodified file to create the
tables, and then use ALTER TABLE
to
change their storage engine. The particulars are given later in
this section.
Assuming that you have already created a database named
world
on the SQL node of the cluster, you can
then use the mysql command-line client to read
city_table.sql
, and create and populate the
corresponding table in the usual manner:
shell> mysql world < city_table.sql
It is very important to keep in mind that the preceding command
must be executed on the host where the SQL node is running (in
this case, on the machine with the IP address
192.168.0.20
).
To create a copy of the entire world
database
on the SQL node, use mysqldump on the
noncluster server to export the database to a file named
world.sql
; for example, in the
/tmp
directory. Then modify the table
definitions as just described and import the file into the SQL
node of the cluster like this:
shell> mysql world < /tmp/world.sql
If you save the file to a different location, adjust the preceding instructions accordingly.
Running SELECT
queries on the SQL
node is no different from running them on any other instance of a
MySQL server. To run queries from the command line, you first need
to log in to the MySQL Monitor in the usual way (specify the
root
password at the Enter
password:
prompt):
shell> mysql -u root -p
Enter password:
Welcome to the MySQL monitor. Commands end with ; or \g.
Your MySQL connection id is 1 to server version: 5.7.11-ndb-7.5.2
Type 'help;' or '\h' for help. Type '\c' to clear the buffer.
mysql>
We simply use the MySQL server's root
account and assume that you have followed the standard security
precautions for installing a MySQL server, including setting a
strong root
password. For more information, see
Section 2.10.4, “Securing the Initial MySQL Accounts”.
It is worth taking into account that Cluster nodes do
not make use of the MySQL privilege system
when accessing one another. Setting or changing MySQL user
accounts (including the root
account) effects
only applications that access the SQL node, not interaction
between nodes. See
Section 18.5.12.2, “MySQL Cluster and MySQL Privileges”, for
more information.
If you did not modify the ENGINE
clauses in the
table definitions prior to importing the SQL script, you should
run the following statements at this point:
mysql>USE world;
mysql>ALTER TABLE City ENGINE=NDBCLUSTER;
mysql>ALTER TABLE Country ENGINE=NDBCLUSTER;
mysql>ALTER TABLE CountryLanguage ENGINE=NDBCLUSTER;
Selecting a database and running a SELECT query against a table in that database is also accomplished in the usual manner, as is exiting the MySQL Monitor:
mysql>USE world;
mysql>SELECT Name, Population FROM City ORDER BY Population DESC LIMIT 5;
+-----------+------------+ | Name | Population | +-----------+------------+ | Bombay | 10500000 | | Seoul | 9981619 | | São Paulo | 9968485 | | Shanghai | 9696300 | | Jakarta | 9604900 | +-----------+------------+ 5 rows in set (0.34 sec) mysql>\q
Bye shell>
Applications that use MySQL can employ standard APIs to access
NDB
tables. It is important to
remember that your application must access the SQL node, and not
the management or data nodes. This brief example shows how we
might execute the SELECT
statement
just shown by using the PHP 5.X mysqli
extension running on a Web server elsewhere on the network:
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"
"http://www.w3.org/TR/html4/loose.dtd">
<html>
<head>
<meta http-equiv="Content-Type"
content="text/html; charset=iso-8859-1">
<title>SIMPLE mysqli SELECT</title>
</head>
<body>
<?php
# connect to SQL node:
$link = new mysqli('192.168.0.20', 'root', 'root_password
', 'world');
# parameters for mysqli constructor are:
# host, user, password, database
if( mysqli_connect_errno() )
die("Connect failed: " . mysqli_connect_error());
$query = "SELECT Name, Population
FROM City
ORDER BY Population DESC
LIMIT 5";
# if no errors...
if( $result = $link->query($query) )
{
?>
<table border="1" width="40%" cellpadding="4" cellspacing ="1">
<tbody>
<tr>
<th width="10%">City</th>
<th>Population</th>
</tr>
<?
# then display the results...
while($row = $result->fetch_object())
printf("<tr>\n <td align=\"center\">%s</td><td>%d</td>\n</tr>\n",
$row->Name, $row->Population);
?>
</tbody
</table>
<?
# ...and verify the number of rows that were retrieved
printf("<p>Affected rows: %d</p>\n", $link->affected_rows);
}
else
# otherwise, tell us what went wrong
echo mysqli_error();
# free the result set and the mysqli connection object
$result->close();
$link->close();
?>
</body>
</html>
We assume that the process running on the Web server can reach the IP address of the SQL node.
In a similar fashion, you can use the MySQL C API, Perl-DBI, Python-mysql, or MySQL Connectors to perform the tasks of data definition and manipulation just as you would normally with MySQL.
To shut down the cluster, enter the following command in a shell on the machine hosting the management node:
shell> ndb_mgm -e shutdown
The -e
option here is used to pass a command to
the ndb_mgm client from the shell. (See
Section 18.4.27, “Options Common to MySQL Cluster Programs — Options Common to MySQL Cluster Programs”, for more
information about this option.) The command causes the
ndb_mgm, ndb_mgmd, and any
ndbd or ndbmtd processes to
terminate gracefully. Any SQL nodes can be terminated using
mysqladmin shutdown and other means. On Windows
platforms, assuming that you have installed the SQL node as a
Windows service, you can use NET STOP MYSQL.
To restart the cluster on Unix platforms, run these commands:
On the management host (192.168.0.10
in our
example setup):
shell> ndb_mgmd -f /var/lib/mysql-cluster/config.ini
On each of the data node hosts
(192.168.0.30
and
192.168.0.40
):
shell> ndbd
Use the ndb_mgm client to verify that both data nodes have started successfully.
On the SQL host (192.168.0.20
):
shell> mysqld_safe &
On Windows platforms, assuming that you have installed all MySQL Cluster processes as Windows services using the default service names (see Section 18.2.3.4, “Installing MySQL Cluster Processes as Windows Services”), you can restart the cluster as follows:
On the management host (192.168.0.10
in our
example setup), execute the following command:
C:\> NET START ndb_mgmd
On each of the data node hosts
(192.168.0.30
and
192.168.0.40
), execute the following
command:
C:\> NET START ndbd
On the management node host, use the ndb_mgm client to verify that the management node and both data nodes have started successfully (see Section 18.2.3.3, “Initial Startup of MySQL Cluster on Windows”).
On the SQL node host (192.168.0.20
),
execute the following command:
C:\> NET START mysql
In a production setting, it is usually not desirable to shut down the cluster completely. In many cases, even when making configuration changes, or performing upgrades to the cluster hardware or software (or both), which require shutting down individual host machines, it is possible to do so without shutting down the cluster as a whole by performing a rolling restart of the cluster. For more information about doing this, see Section 18.5.5, “Performing a Rolling Restart of a MySQL Cluster”.
This section provides information about MySQL Cluster software and table file compatibility between different MySQL Cluster NDB 7.5 releases with regard to performing upgrades and downgrades as well as compatibility matrices and notes. You are expected already to be familiar with installing and configuring a MySQL Cluster prior to attempting an upgrade or downgrade. See Section 18.3, “Configuration of MySQL Cluster”.
Only compatibility between MySQL versions with regard to
NDBCLUSTER
is taken into account in
this section, and there are likely other issues to be
considered. As with any other MySQL software upgrade
or downgrade, you are strongly encouraged to review the relevant
portions of the MySQL Manual for the MySQL versions from which
and to which you intend to migrate, before attempting an upgrade
or downgrade of the MySQL Cluster software. See
Section 2.11.1, “Upgrading MySQL”.
A MySQL server that is part of a MySQL Cluster differs in one chief
respect from a normal (nonclustered) MySQL server, in that it
employs the NDB
storage engine. This
engine is also referred to sometimes as
NDBCLUSTER
, although
NDB
is preferred.
To avoid unnecessary allocation of resources, the server is
configured by default with the NDB
storage engine disabled. To enable NDB
,
you must modify the server's my.cnf
configuration file, or start the server with the
--ndbcluster
option.
This MySQL server is a part of the cluster, so it also must know how
to access a management node to obtain the cluster configuration
data. The default behavior is to look for the management node on
localhost
. However, should you need to specify
that its location is elsewhere, this can be done in
my.cnf
, or with the mysql
client. Before the NDB
storage engine
can be used, at least one management node must be operational, as
well as any desired data nodes.
For more information about
--ndbcluster
and other
mysqld options specific to MySQL Cluster, see
Section 18.3.3.8.1, “MySQL Server Options for MySQL Cluster”.
You can use also the MySQL Cluster Auto-Installer to set up and deploy a MySQL Cluster on one or more hosts using a browser-based GUI. For more information, see Section 18.2.1, “The MySQL Cluster Auto-Installer”.
For general information about installing MySQL Cluster, see Section 18.2, “MySQL Cluster Installation”.
To familiarize you with the basics, we will describe the simplest possible configuration for a functional MySQL Cluster. After this, you should be able to design your desired setup from the information provided in the other relevant sections of this chapter.
First, you need to create a configuration directory such as
/var/lib/mysql-cluster
, by executing the
following command as the system root
user:
shell> mkdir /var/lib/mysql-cluster
In this directory, create a file named
config.ini
that contains the following
information. Substitute appropriate values for
HostName
and DataDir
as
necessary for your system.
# file "config.ini" - showing minimal setup consisting of 1 data node, # 1 management server, and 3 MySQL servers. # The empty default sections are not required, and are shown only for # the sake of completeness. # Data nodes must provide a hostname but MySQL Servers are not required # to do so. # If you don't know the hostname for your machine, use localhost. # The DataDir parameter also has a default value, but it is recommended to # set it explicitly. # Note: [db], [api], and [mgm] are aliases for [ndbd], [mysqld], and [ndb_mgmd], # respectively. [db] is deprecated and should not be used in new installations. [ndbd default] NoOfReplicas= 1 [mysqld default] [ndb_mgmd default] [tcp default] [ndb_mgmd] HostName= myhost.example.com [ndbd] HostName= myhost.example.com DataDir= /var/lib/mysql-cluster [mysqld] [mysqld] [mysqld]
You can now start the ndb_mgmd management
server. By default, it attempts to read the
config.ini
file in its current working
directory, so change location into the directory where the file is
located and then invoke ndb_mgmd:
shell>cd /var/lib/mysql-cluster
shell>ndb_mgmd
Then start a single data node by running ndbd:
shell> ndbd
For command-line options which can be used when starting ndbd, see Section 18.4.27, “Options Common to MySQL Cluster Programs — Options Common to MySQL Cluster Programs”.
By default, ndbd looks for the management
server at localhost
on port 1186.
If you have installed MySQL from a binary tarball, you will need
to specify the path of the ndb_mgmd and
ndbd servers explicitly. (Normally, these
will be found in /usr/local/mysql/bin
.)
Finally, change location to the MySQL data directory (usually
/var/lib/mysql
or
/usr/local/mysql/data
), and make sure that
the my.cnf
file contains the option necessary
to enable the NDB storage engine:
[mysqld] ndbcluster
You can now start the MySQL server as usual:
shell> mysqld_safe --user=mysql &
Wait a moment to make sure the MySQL server is running properly.
If you see the notice mysql ended
, check the
server's .err
file to find out what went
wrong.
If all has gone well so far, you now can start using the cluster.
Connect to the server and verify that the
NDBCLUSTER
storage engine is enabled:
shell>mysql
Welcome to the MySQL monitor. Commands end with ; or \g. Your MySQL connection id is 1 to server version: 5.7.13 Type 'help;' or '\h' for help. Type '\c' to clear the buffer. mysql>SHOW ENGINES\G
... *************************** 12. row *************************** Engine: NDBCLUSTER Support: YES Comment: Clustered, fault-tolerant, memory-based tables *************************** 13. row *************************** Engine: NDB Support: YES Comment: Alias for NDBCLUSTER ...
The row numbers shown in the preceding example output may be different from those shown on your system, depending upon how your server is configured.
Try to create an NDBCLUSTER
table:
shell>mysql
mysql>USE test;
Database changed mysql>CREATE TABLE ctest (i INT) ENGINE=NDBCLUSTER;
Query OK, 0 rows affected (0.09 sec) mysql>SHOW CREATE TABLE ctest \G
*************************** 1. row *************************** Table: ctest Create Table: CREATE TABLE `ctest` ( `i` int(11) default NULL ) ENGINE=ndbcluster DEFAULT CHARSET=latin1 1 row in set (0.00 sec)
To check that your nodes were set up properly, start the management client:
shell> ndb_mgm
Use the SHOW command from within the management client to obtain a report on the cluster's status:
ndb_mgm> SHOW
Cluster Configuration
---------------------
[ndbd(NDB)] 1 node(s)
id=2 @127.0.0.1 (Version: 5.7.11-ndb-7.5.2, Nodegroup: 0, *)
[ndb_mgmd(MGM)] 1 node(s)
id=1 @127.0.0.1 (Version: 5.7.11-ndb-7.5.2)
[mysqld(API)] 3 node(s)
id=3 @127.0.0.1 (Version: 5.7.11-ndb-7.5.2)
id=4 (not connected, accepting connect from any host)
id=5 (not connected, accepting connect from any host)
At this point, you have successfully set up a working MySQL
Cluster. You can now store data in the cluster by using any table
created with ENGINE=NDBCLUSTER
or its alias
ENGINE=NDB
.
The next several sections provide summary tables of MySQL Cluster
node configuration parameters used in the
config.ini
file to govern various aspects of
node behavior, as well as of options and variables read by
mysqld from a my.cnf
file
or from the command line when run as a MySQL Cluster process. Each
of the node parameter tables lists the parameters for a given type
(ndbd
, ndb_mgmd
,
mysqld
, computer
,
tcp
, shm
, or
sci
). All tables include the data type for the
parameter, option, or variable, as well as its default, mimimum,
and maximum values as applicable.
Considerations when restarting nodes.
For node parameters, these tables also indicate what type of
restart is required (node restart or system restart)—and
whether the restart must be done with
--initial
—to change the value of a given
configuration parameter. When performing a node restart or an
initial node restart, all of the cluster's data nodes must
be restarted in turn (also referred to as a
rolling restart). It is
possible to update cluster configuration parameters marked as
node
online—that is, without shutting
down the cluster—in this fashion. An initial node restart
requires restarting each ndbd process with
the --initial
option.
A system restart requires a complete shutdown and restart of the entire cluster. An initial system restart requires taking a backup of the cluster, wiping the cluster file system after shutdown, and then restoring from the backup following the restart.
In any cluster restart, all of the cluster's management servers must be restarted for them to read the updated configuration parameter values.
Values for numeric cluster parameters can generally be increased without any problems, although it is advisable to do so progressively, making such adjustments in relatively small increments. Many of these can be increased online, using a rolling restart.
However, decreasing the values of such parameters—whether this is done using a node restart, node initial restart, or even a complete system restart of the cluster—is not to be undertaken lightly; it is recommended that you do so only after careful planning and testing. This is especially true with regard to those parameters that relate to memory usage and disk space. In addition, it is the generally the case that configuration parameters relating to memory and disk usage can be raised using a simple node restart, but they require an initial node restart to be lowered.
Because some of these parameters can be used for configuring more than one type of cluster node, they may appear in more than one of the tables.
4294967039
often appears as a maximum value
in these tables. This value is defined in the
NDBCLUSTER
sources as
MAX_INT_RNIL
and is equal to
0xFFFFFEFF
, or
232 −
28 − 1
.
The summary table in this section provides information about
parameters used in the [ndbd]
or
[ndbd default]
sections of a
config.ini
file for configuring MySQL
Cluster data nodes. For detailed descriptions and other
additional information about each of these parameters, see
Section 18.3.3.6, “Defining MySQL Cluster Data Nodes”.
These parameters also apply to ndbmtd, the multi-threaded version of ndbd. For more information, see Section 18.4.3, “ndbmtd — The MySQL Cluster Data Node Daemon (Multi-Threaded)”.
Restart types. Changes in MySQL Cluster configuration parameters do not take effect until the cluster is restarted. The type of restart required to change a given parameter is indicated in the summary table as follows:
N
—Node restart: The parameter can
be updated using a rolling restart (see
Section 18.5.5, “Performing a Rolling Restart of a MySQL Cluster”).
S
—System restart: The cluster must
be shut down completely, then restarted, to effect a change
in this parameter.
I
—Initial restart: Data nodes must
be restarted using the
--initial
option.
For more information about restart types, see Section 18.3.2, “Overview of MySQL Cluster Configuration Parameters, Options, and Variables”.
MySQL Cluster also supports the addition of new data node groups online, to a running cluster. For more information, see Section 18.5.14, “Adding MySQL Cluster Data Nodes Online”.
Table 18.1 Data Node Configuration Parameters
Parameter Name | Type or Units | Restart Type | In Version ... (and later) |
---|---|---|---|
Default Value | |||
Minimum/Maximum or Permitted Values | |||
enumeration | N | NDB 7.5.0 | |
Default | |||
Default, Disabled, WaitExternal | |||
milliseconds | N | NDB 7.5.0 | |
7500 | |||
10 / 4294967039 (0xFFFFFEFF) | |||
bytes | N | NDB 7.5.1 | |
16M | |||
512K / 4294967039 (0xFFFFFEFF) | |||
path | IN | NDB 7.5.0 | |
FileSystemPath | |||
... | |||
percent | N | NDB 7.5.0 | |
50 | |||
0 / 90 | |||
bytes | N | NDB 7.5.0 | |
16M | |||
2M / 4294967039 (0xFFFFFEFF) | |||
bytes | N | NDB 7.5.0 | |
1M | |||
256K / 4294967039 (0xFFFFFEFF) | |||
bytes | N | NDB 7.5.0 | |
32M | |||
0 / 4294967039 (0xFFFFFEFF) | |||
seconds | N | NDB 7.5.0 | |
0 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
bytes | N | NDB 7.5.0 | |
256K | |||
32K / 4294967039 (0xFFFFFEFF) | |||
integer | N | NDB 7.5.0 | |
256 | |||
1 / 992 | |||
numeric | S | NDB 7.5.0 | |
0 | |||
0 / 128 | |||
boolean | N | NDB 7.5.0 | |
false | |||
true, false | |||
boolean | N | NDB 7.5.0 | |
false | |||
true, false | |||
milliseconds | N | NDB 7.5.0 | |
0 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
boolean | S | NDB 7.5.0 | |
true | |||
true, false | |||
path | IN | NDB 7.5.0 | |
. | |||
... | |||
bytes | N | NDB 7.5.0 | |
80M | |||
1M / 1024G | |||
LDM threads | N | NDB 7.5.0 | |
3840 | |||
0 / 3840 | |||
bytes | N | NDB 7.5.0 | |
undefined | |||
0 / 100 | |||
threads | N | NDB 7.5.0 | |
2 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
true|false (1|0) | IS | NDB 7.5.0 | |
false | |||
true, false | |||
32K pages | N | NDB 7.5.0 | |
10 | |||
1 / 1000 | |||
bytes | N | NDB 7.5.0 | |
64M | |||
4M / 1T | |||
bytes | N | NDB 7.5.0 | |
4M | |||
32K / 4294967039 (0xFFFFFEFF) | |||
name | S | NDB 7.5.0 | |
[none] | |||
... | |||
bytes | N | NDB 7.5.0 | |
0 | |||
0 / 32G | |||
path | IN | NDB 7.5.0 | |
DataDir | |||
... | |||
filename | IN | NDB 7.5.0 | |
[see text] | |||
... | |||
filename | IN | NDB 7.5.0 | |
FileSystemPath | |||
... | |||
filename | IN | NDB 7.5.0 | |
[see text] | |||
... | |||
bytes | IN | NDB 7.5.0 | |
16M | |||
4M / 1G | |||
milliseconds | N | NDB 7.5.0 | |
1500 | |||
100 / 4294967039 (0xFFFFFEFF) | |||
milliseconds | N | NDB 7.5.0 | |
5000 | |||
10 / 4294967039 (0xFFFFFEFF) | |||
numeric | S | NDB 7.5.0 | |
0 | |||
0 / 65535 | |||
name or IP address | N | NDB 7.5.0 | |
localhost | |||
... | |||
bytes | N | NDB 7.5.0 | |
18M | |||
1M / 1T | |||
boolean | S | NDB 7.5.0 | |
false | |||
false, true | |||
boolean | S | NDB 7.5.0 | |
false | |||
false, true | |||
percentage | IN | NDB 7.5.0 | |
100 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
bytes | IN | NDB 7.5.0 | |
32768 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
percentage | IN | NDB 7.5.0 | |
100 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
percentage | IN | NDB 7.5.0 | |
100 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
seconds | IN | NDB 7.5.0 | |
60 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
[see values] | IN | NDB 7.5.0 | |
SPARSE | |||
SPARSE, FULL | |||
string | S | NDB 7.5.0 | |
[see text] | |||
... | |||
files | N | NDB 7.5.0 | |
27 | |||
20 / 4294967039 (0xFFFFFEFF) | |||
string | S | NDB 7.5.0 | |
[see text] | |||
... | |||
numeric | N | NDB 7.5.0 | |
1 | |||
0 / 1 | |||
second | N | NDB 7.5.0 | |
60 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
CPU ID | N | NDB 7.5.0 | |
64K | |||
0 / 64K | |||
CPU ID | N | NDB 7.5.0 | |
[none] | |||
0 / 64K | |||
numeric | N | NDB 7.5.0 | |
0 | |||
0 / 2 | |||
log level | N | NDB 7.5.0 | |
0 | |||
0 / 15 | |||
levelr | N | NDB 7.5.0 | |
0 | |||
0 / 15 | |||
integer | N | NDB 7.5.0 | |
0 | |||
0 / 15 | |||
integer | N | NDB 7.5.0 | |
0 | |||
0 / 15 | |||
integer | N | NDB 7.5.0 | |
0 | |||
0 / 15 | |||
integer | N | NDB 7.5.0 | |
0 | |||
0 / 15 | |||
integer | N | NDB 7.5.0 | |
0 | |||
0 / 15 | |||
integer | N | NDB 7.5.0 | |
1 | |||
0 / 15 | |||
integer | N | NDB 7.5.0 | |
0 | |||
0 / 15 | |||
bytes | N | NDB 7.5.0 | |
64M | |||
512K / 4294967039 (0xFFFFFEFF) | |||
unsigned | N | NDB 7.5.0 | |
32M | |||
1M / 1G | |||
epochs | N | NDB 7.5.0 | |
100 | |||
0 / 100000 | |||
bytes | N | NDB 7.5.0 | |
26214400 | |||
26214400 (0x01900000) / 4294967039 (0xFFFFFEFF) | |||
numeric | S | NDB 7.5.0 | |
20M | |||
1M / 1024G | |||
numeric | S | NDB 7.5.0 | |
50M | |||
1M / 1024G | |||
numeric | S | NDB 7.5.0 | |
200M | |||
1M / 1024G | |||
operations (DML) | N | NDB 7.5.0 | |
4294967295 | |||
32 / 4294967295 | |||
seconds | N | NDB 7.5.0 | |
0 | |||
0 / 600 | |||
integer | N | NDB 7.5.0 | |
1000 | |||
32 / 4294967039 (0xFFFFFEFF) | |||
integer | N | NDB 7.5.0 | |
8K | |||
0 / 4294967039 (0xFFFFFEFF) | |||
integer | N | NDB 7.5.0 | |
32K | |||
32 / 4294967039 (0xFFFFFEFF) | |||
integer | N | NDB 7.5.0 | |
256 | |||
2 / 500 | |||
unsigned | N | NDB 7.5.0 | |
256 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
integer | N | NDB 7.5.0 | |
4096 | |||
32 / 4294967039 (0xFFFFFEFF) | |||
integer | N | NDB 7.5.0 | |
4000 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
integer | N | NDB 7.5.0 | |
UNDEFINED | |||
32 / 4294967039 (0xFFFFFEFF) | |||
integer | N | NDB 7.5.0 | |
[see text] | |||
32 / 4294967039 (0xFFFFFEFF) | |||
unsigned | N | NDB 7.5.0 | |
0 | |||
20 / 4294967039 (0xFFFFFEFF) | |||
integer | N | NDB 7.5.0 | |
128 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
integer | N | NDB 7.5.0 | |
25 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
unsigned | N | NDB 7.5.0 | |
0 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
unsigned | N | NDB 7.5.0 | |
0 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
integer | N | NDB 7.5.0 | |
128 | |||
8 / 20320 | |||
integer | N | NDB 7.5.0 | |
768 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
integer | S | NDB 7.5.0 | |
0 | |||
0 / 64 | |||
bytes | N | NDB 7.5.0 | |
256 | |||
1 / 4294967039 (0xFFFFFEFF) | |||
unsigned | N | NDB 7.5.0 | |
3 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
unsigned | N | NDB 7.5.0 | |
0 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
numeric | S | NDB 7.5.0 | |
10M | |||
1M / 1024G | |||
unsigned | N | NDB 7.5.0 | |
5 | |||
0 / 100 | |||
IS | NDB 7.5.0 | ||
[none] | |||
0 / 65536 | |||
unsigned | IS | NDB 7.5.0 | |
[none] | |||
1 / 48 | |||
integer | IN | NDB 7.5.0 | |
16 | |||
3 / 4294967039 (0xFFFFFEFF) | |||
integer | IS | NDB 7.5.0 | |
2 | |||
1 / 4 | |||
boolean | N | NDB 7.5.0 | |
1 | |||
... | |||
boolean | N | NDB 7.5.0 | |
false | |||
true, false | |||
boolean | N | NDB 7.5.0 | |
false | |||
true, false | |||
bytes | N | NDB 7.5.0 | |
32M | |||
1M / 4294967039 (0xFFFFFEFF) | |||
numeric | N | NDB 7.5.0 | |
3 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
seconds | N | NDB 7.5.0 | |
20 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
error code | N | NDB 7.5.0 | |
2 | |||
0 / 4 | |||
µs | N | NDB 7.5.0 | |
50 | |||
0 / 11000 | |||
integer | S | NDB 7.5.0 | |
5 | |||
0 / 10 | |||
µs | N | NDB 7.5.0 | |
0 | |||
0 / 500 | |||
unsigned | S | NDB 7.5.0 | |
[none] | |||
1 / 64K | |||
bytes | N | NDB 7.5.0 | |
128M | |||
0 / 64T | |||
unsigned | N | NDB 7.5.0 | |
0 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
milliseconds | N | NDB 7.5.0 | |
0 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
milliseconds | N | NDB 7.5.0 | |
15000 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
milliseconds | N | NDB 7.5.0 | |
30000 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
milliseconds | N | NDB 7.5.0 | |
60000 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
seconds | N | NDB 7.5.0 | |
0 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
boolean | N | NDB 7.5.0 | |
1 | |||
0, 1 | |||
% or bytes | S | NDB 7.5.0 | |
25 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
boolean | N | NDB 7.5.0 | |
false | |||
true, false | |||
milliseconds | N | NDB 7.5.0 | |
100 | |||
0 / 32000 | |||
milliseconds | N | NDB 7.5.0 | |
0 | |||
0 / 256000 | |||
milliseconds | N | NDB 7.5.0 | |
2000 | |||
20 / 32000 | |||
milliseconds | N | NDB 7.5.0 | |
120000 | |||
10 / 4294967039 (0xFFFFFEFF) | |||
milliseconds | N | NDB 7.5.0 | |
1000 | |||
1000 / 4294967039 (0xFFFFFEFF) | |||
number of 4-byte words, as a base-2 logarithm | N | NDB 7.5.0 | |
20 | |||
0 / 31 | |||
milliseconds | N | NDB 7.5.0 | |
6000 | |||
70 / 4294967039 (0xFFFFFEFF) | |||
milliseconds | N | NDB 7.5.0 | |
6000 | |||
70 / 4294967039 (0xFFFFFEFF) | |||
bytes | N | NDB 7.5.0 | |
0 | |||
256K / 4294967039 (0xFFFFFEFF) | |||
bytes | N | NDB 7.5.0 | |
1M | |||
1K / 4294967039 (0xFFFFFEFF) | |||
milliseconds | N | NDB 7.5.0 | |
1200 | |||
50 / 4294967039 (0xFFFFFEFF) | |||
milliseconds | N | NDB 7.5.0 | |
[see text] | |||
0 / 4294967039 (0xFFFFFEFF) | |||
boolean | N | NDB 7.5.0 | |
false | |||
true, false | |||
unsigned | N | NDB 7.5.0 | |
16M | |||
1M / 4294967039 (0xFFFFFEFF) | |||
unsigned | N | NDB 7.5.0 | |
2M | |||
1M / 4294967039 (0xFFFFFEFF) |
Table 18.2 Multi-Threaded Data Node Configuration Parameters
Parameter Name | Type or Units | Restart Type | In Version ... (and later) |
---|---|---|---|
Default Value | |||
Minimum/Maximum or Permitted Values | |||
integer | IS | NDB 7.5.0 | |
2 | |||
2 / 72 | |||
numeric | IN | NDB 7.5.0 | |
4 | |||
4, 8, 12, 16, 24, 32 | |||
string | IS | NDB 7.5.0 | |
'' | |||
... |
The summary table in this section provides information about
parameters used in the [ndb_mgmd]
or
[mgm]
sections of a
config.ini
file for configuring MySQL
Cluster management nodes. For detailed descriptions and other
additional information about each of these parameters, see
Section 18.3.3.5, “Defining a MySQL Cluster Management Server”.
Restart types. Changes in MySQL Cluster configuration parameters do not take effect until the cluster is restarted. The type of restart required to change a given parameter is indicated in the summary table as follows:
N
—Node restart: The parameter can
be updated using a rolling restart (see
Section 18.5.5, “Performing a Rolling Restart of a MySQL Cluster”).
S
—System restart: The cluster must
be shut down completely, then restarted, to effect a change
in this parameter.
I
—Initial restart: Data nodes must
be restarted using the
--initial
option.
For more information about restart types, see Section 18.3.2, “Overview of MySQL Cluster Configuration Parameters, Options, and Variables”.
Table 18.3 Management Node Configuration Parameters
Parameter Name | Type or Units | Restart Type | In Version ... (and later) |
---|---|---|---|
Default Value | |||
Minimum/Maximum or Permitted Values | |||
milliseconds | N | NDB 7.5.0 | |
0 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
0-2 | N | NDB 7.5.0 | |
1 | |||
0 / 2 | |||
path | N | NDB 7.5.0 | |
. | |||
... | |||
name | S | NDB 7.5.0 | |
[none] | |||
... | |||
milliseconds | N | NDB 7.5.0 | |
1500 | |||
100 / 4294967039 (0xFFFFFEFF) | |||
string | S | NDB 7.5.0 | |
[none] | |||
... | |||
name or IP address | N | NDB 7.5.0 | |
[none] | |||
... | |||
unsigned | IS | NDB 7.5.0 | |
[none] | |||
1 / 255 | |||
{CONSOLE|SYSLOG|FILE} | N | NDB 7.5.0 | |
[see text] | |||
... | |||
unsigned | IS | NDB 7.5.0 | |
[none] | |||
1 / 255 | |||
unsigned | S | NDB 7.5.0 | |
1186 | |||
0 / 64K | |||
unsigned | N | NDB 7.5.0 | |
[none] | |||
0 / 64K | |||
bytes | N | NDB 7.5.0 | |
0 | |||
256K / 4294967039 (0xFFFFFEFF) | |||
boolean | N | NDB 7.5.0 | |
false | |||
true, false |
After making changes in a management node's configuration, it is necessary to perform a rolling restart of the cluster for the new configuration to take effect. See Section 18.3.3.5, “Defining a MySQL Cluster Management Server”, for more information.
To add new management servers to a running MySQL Cluster, it
is also necessary perform a rolling restart of all cluster
nodes after modifying any existing
config.ini
files. For more information
about issues arising when using multiple management nodes, see
Section 18.1.6.10, “Limitations Relating to Multiple MySQL Cluster Nodes”.
The summary table in this section provides information about
parameters used in the [mysqld]
and
[api]
sections of a
config.ini
file for configuring MySQL
Cluster SQL nodes and API nodes. For detailed descriptions and
other additional information about each of these parameters, see
Section 18.3.3.7, “Defining SQL and Other API Nodes in a MySQL Cluster”.
For a discussion of MySQL server options for MySQL Cluster, see Section 18.3.3.8.1, “MySQL Server Options for MySQL Cluster”; for information about MySQL server system variables relating to MySQL Cluster, see Section 18.3.3.8.2, “MySQL Cluster System Variables”.
Restart types. Changes in MySQL Cluster configuration parameters do not take effect until the cluster is restarted. The type of restart required to change a given parameter is indicated in the summary table as follows:
N
—Node restart: The parameter can
be updated using a rolling restart (see
Section 18.5.5, “Performing a Rolling Restart of a MySQL Cluster”).
S
—System restart: The cluster must
be shut down completely, then restarted, to effect a change
in this parameter.
I
—Initial restart: Data nodes must
be restarted using the
--initial
option.
For more information about restart types, see Section 18.3.2, “Overview of MySQL Cluster Configuration Parameters, Options, and Variables”.
Table 18.4 SQL Node / API Node Configuration Parameters
Parameter Name | Type or Units | Restart Type | In Version ... (and later) |
---|---|---|---|
Default Value | |||
Minimum/Maximum or Permitted Values | |||
milliseconds | N | NDB 7.5.0 | |
0 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
0-2 | N | NDB 7.5.0 | |
0 | |||
0 / 2 | |||
boolean | N | NDB 7.5.0 | |
false | |||
true, false | |||
bytes | N | NDB 7.5.0 | |
16K | |||
1024 / 1M | |||
records | N | NDB 7.5.0 | |
256 | |||
1 / 992 | |||
integer | N | NDB 7.5.0 | |
0 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
string | N | NDB 7.5.0 | |
[none] | |||
... | |||
buckets | N | NDB 7.5.0 | |
3840 | |||
0 / 3840 | |||
enumeration | S | NDB 7.5.0 | |
QUEUE | |||
ABORT, QUEUE | |||
bytes | S | NDB 7.5.0 | |
8192 | |||
0 / 64K | |||
name | S | NDB 7.5.0 | |
[none] | |||
... | |||
bytes | N | NDB 7.5.0 | |
0 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
string | S | NDB 7.5.0 | |
[none] | |||
... | |||
name or IP address | N | NDB 7.5.0 | |
[none] | |||
... | |||
unsigned | IS | NDB 7.5.0 | |
[none] | |||
1 / 255 | |||
bytes | N | NDB 7.5.0 | |
256K | |||
32K / 16M | |||
unsigned | IS | NDB 7.5.0 | |
[none] | |||
1 / 255 | |||
integer | N | NDB 7.5.0 | |
0 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
bytes | N | NDB 7.5.0 | |
0 | |||
256K / 4294967039 (0xFFFFFEFF) | |||
boolean | N | NDB 7.5.0 | |
false | |||
true, false |
To add new SQL or API nodes to the configuration of a running
MySQL Cluster, it is necessary to perform a rolling restart of
all cluster nodes after adding new [mysqld]
or [api]
sections to the
config.ini
file (or files, if you are
using more than one management server). This must be done
before the new SQL or API nodes can connect to the cluster.
It is not necessary to perform any restart of the cluster if new SQL or API nodes can employ previously unused API slots in the cluster configuration to connect to the cluster.
The summary tables in this section provide information about
parameters used in the [computer]
,
[tcp]
, [shm]
, and
[sci]
sections of a
config.ini
file for configuring MySQL
Cluster management nodes. For detailed descriptions and other
additional information about individual parameters, see
Section 18.3.3.9, “MySQL Cluster TCP/IP Connections”,
Section 18.3.3.11, “MySQL Cluster Shared-Memory Connections”, or
Section 18.3.3.12, “SCI Transport Connections in MySQL Cluster”, as appropriate.
Restart types. Changes in MySQL Cluster configuration parameters do not take effect until the cluster is restarted. The type of restart required to change a given parameter is indicated in the summary tables as follows:
N
—Node restart: The parameter can
be updated using a rolling restart (see
Section 18.5.5, “Performing a Rolling Restart of a MySQL Cluster”).
S
—System restart: The cluster must
be shut down completely, then restarted, to effect a change
in this parameter.
I
—Initial restart: Data nodes must
be restarted using the
--initial
option.
For more information about restart types, see Section 18.3.2, “Overview of MySQL Cluster Configuration Parameters, Options, and Variables”.
Table 18.6 TCP Configuration Parameters
Parameter Name | Type or Units | Restart Type | In Version ... (and later) |
---|---|---|---|
Default Value | |||
Minimum/Maximum or Permitted Values | |||
boolean | N | NDB 7.5.0 | |
false | |||
true, false | |||
| unsigned | N | NDB 7.5.0 |
55 | |||
0 / 200 | |||
numeric | N | NDB 7.5.0 | |
[none] | |||
... | |||
numeric | N | NDB 7.5.0 | |
[none] | |||
... | |||
| numeric | N | NDB 7.5.0 |
[none] | |||
... | |||
bytes | N | NDB 7.5.0 | |
0 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
unsigned | S | NDB 7.5.0 | |
[none] | |||
0 / 64K | |||
| string | N | NDB 7.5.0 |
[none] | |||
... | |||
bytes | N | NDB 7.5.0 | |
2M | |||
16K / 4294967039 (0xFFFFFEFF) | |||
unsigned | N | NDB 7.5.0 | |
2M | |||
256K / 4294967039 (0xFFFFFEFF) | |||
boolean | N | NDB 7.5.0 | |
[see text] | |||
true, false | |||
unsigned | N | NDB 7.5.0 | |
0 | |||
0 / 2G | |||
unsigned | N | NDB 7.5.0 | |
0 | |||
0 / 2G | |||
unsigned | N | NDB 7.5.0 | |
0 | |||
0 / 2G | |||
boolean | N | NDB 7.5.0 | |
false | |||
true, false |
Table 18.7 Shared Memory Configuration Parameters
Parameter Name | Type or Units | Restart Type | In Version ... (and later) |
---|---|---|---|
Default Value | |||
Minimum/Maximum or Permitted Values | |||
boolean | N | NDB 7.5.0 | |
true | |||
true, false | |||
| unsigned | N | NDB 7.5.0 |
35 | |||
0 / 200 | |||
numeric | N | NDB 7.5.0 | |
[none] | |||
... | |||
numeric | N | NDB 7.5.0 | |
[none] | |||
... | |||
| numeric | N | NDB 7.5.0 |
[none] | |||
... | |||
bytes | N | NDB 7.5.0 | |
0 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
| unsigned | S | NDB 7.5.0 |
[none] | |||
0 / 64K | |||
boolean | N | NDB 7.5.0 | |
false | |||
true, false | |||
unsigned | N | NDB 7.5.0 | |
[none] | |||
0 / 4294967039 (0xFFFFFEFF) | |||
bytes | N | NDB 7.5.0 | |
1M | |||
64K / 4294967039 (0xFFFFFEFF) | |||
unsigned | N | NDB 7.5.0 | |
[none] | |||
0 / 4294967039 (0xFFFFFEFF) |
Table 18.8 SCI Configuration Parameters
Parameter Name | Type or Units | Restart Type | In Version ... (and later) |
---|---|---|---|
Default Value | |||
Minimum/Maximum or Permitted Values | |||
boolean | N | NDB 7.5.0 | |
false | |||
true, false | |||
| unsigned | N | NDB 7.5.0 |
15 | |||
0 / 200 | |||
unsigned | N | NDB 7.5.0 | |
[none] | |||
0 / 4294967039 (0xFFFFFEFF) | |||
unsigned | N | NDB 7.5.0 | |
0 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
unsigned | N | NDB 7.5.0 | |
[none] | |||
0 / 4294967039 (0xFFFFFEFF) | |||
unsigned | N | NDB 7.5.0 | |
0 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
numeric | N | NDB 7.5.0 | |
[none] | |||
... | |||
numeric | N | NDB 7.5.0 | |
[none] | |||
... | |||
| numeric | N | NDB 7.5.0 |
[none] | |||
... | |||
bytes | N | NDB 7.5.0 | |
0 | |||
0 / 4294967039 (0xFFFFFEFF) | |||
| unsigned | S | NDB 7.5.0 |
[none] | |||
0 / 64K | |||
unsigned | N | NDB 7.5.0 | |
8K | |||
128 / 32K | |||
boolean | N | NDB 7.5.0 | |
true | |||
true, false | |||
unsigned | N | NDB 7.5.0 | |
10M | |||
64K / 4294967039 (0xFFFFFEFF) |
The following table provides a list of the command-line options,
server and status variables applicable within
mysqld
when it is running as an SQL node in a
MySQL Cluster. For a table showing all
command-line options, server and status variables available for
use with mysqld, see
Section 5.1.1, “Server Option and Variable Reference”.
Table 18.9 MySQL Server Options and Variables for MySQL Cluster: MySQL Cluster NDB 7.4
Option or Variable Name | ||
---|---|---|
Command Line | System Variable | Status Variable |
Option File | Scope | Dynamic |
Notes | ||
No | No | Yes |
No | Both | No |
DESCRIPTION: Count of SHOW NDB STATUS statements |
||
No | No | Yes |
No | Both | No |
DESCRIPTION: Number of times that tables have been discovered |
||
Yes | Yes | No |
Yes | Global | No |
DESCRIPTION: Size (in bytes) to use for NDB transaction batches |
||
Yes | Yes | No |
Yes | Both | Yes |
DESCRIPTION: Specifies size in bytes that large BLOB reads should be batched into. 0 = no limit. |
||
Yes | Yes | No |
Yes | Both | Yes |
DESCRIPTION: Specifies size in bytes that large BLOB writes should be batched into. 0 = no limit. |
||
Yes | Yes | Yes |
Yes | Global | No |
DESCRIPTION: Number of connections to the cluster used by MySQL |
||
Yes | Yes | No |
Yes | Global | No |
DESCRIPTION: Comma-separated list of node IDs for connections to the cluster used by MySQL; the number of nodes in the list must be the same as the value set for --ndb-cluster-connection-pool |
||
Yes | No | No |
Yes | No | |
DESCRIPTION: Point to the management server that distributes the cluster configuration |
||
Yes | Yes | No |
Yes | Both | Yes |
DESCRIPTION: Specifies that constraint checks on unique indexes (where these are supported) should be deferred until commit time. Not normally needed or used; for testing purposes only. |
||
Yes | Yes | No |
Yes | Global | Yes |
DESCRIPTION: Default distribution for new tables in NDBCLUSTER (KEYHASH or LINHASH, default is KEYHASH) |
||
Yes | Yes | No |
Yes | Global | No |
DESCRIPTION: Cause a MySQL server acting as a slave to log mysql.ndb_apply_status updates received from its immediate master in its own binary log, using its own server ID. Effective only if the server is started with the --ndbcluster option. |
||
Yes | Yes | No |
Yes | Global | Yes |
DESCRIPTION: When enabled, causes epochs in which there were no changes to be written to the ndb_apply_status and ndb_binlog_index tables, even when --log-slave-updates is enabled. |
||
Yes | Yes | No |
Yes | Both | Yes |
DESCRIPTION: Log primary key reads with exclusive locks; allow conflict resolution based on read conflicts. |
||
Yes | Yes | No |
Yes | Global | No |
DESCRIPTION: Log originating server id and epoch in mysql.ndb_binlog_index table. |
||
Yes | Yes | No |
Yes | Global | No |
DESCRIPTION: Write NDB transaction IDs in the binary log. Requires --log-bin-v1-events=OFF. |
||
Yes | No | No |
Yes | No | |
DESCRIPTION: Set the host (and port, if desired) for connecting to management server |
||
Yes | No | Yes |
Yes | Global | No |
DESCRIPTION: MySQL Cluster node ID for this MySQL server |
||
Yes | No | No |
Yes | No | |
DESCRIPTION: Activation threshold when receive thread takes over the polling of the cluster connection (measured in concurrently active threads) |
||
Yes | No | No |
Yes | No | |
DESCRIPTION: CPU mask for locking receiver threads to specific CPUs; specified as hexadecimal. See documentation for details. |
||
Yes | No | No |
No | No | |
DESCRIPTION: Enable or disable the ndb_transid_mysql_connection_map plugin; that is, enable or disable the INFORMATION_SCHEMA table having that name. |
||
Yes | Yes | No |
Yes | Global | No |
DESCRIPTION: Time (in seconds) for the MySQL server to wait for connection to cluster management and data nodes before accepting MySQL client connections. |
||
Yes | Yes | No |
Yes | Global | No |
DESCRIPTION: Time (in seconds) for the MySQL server to wait for NDB engine setup to complete. |
||
Yes | Yes | No |
Yes | Both | Yes |
DESCRIPTION: Set to OFF to keep ALTER TABLE from using copying operations on NDB tables |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Amount of data (in bytes) received from the data nodes by this MySQL Server (SQL node). |
||
No | No | Yes |
No | Session | No |
DESCRIPTION: Amount of data (in bytes) received from the data nodes in this client session. |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Amount of data (in bytes) received from the data nodes by this slave. |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Amount of data (in bytes) sent to the data nodes by this MySQL Server (SQL node). |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Amount of data (in bytes) sent to the data nodes by this slave. |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Number of bytes of events received by the NDB binary log injector thread. |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Number of row change events received by the NDB binary log injector thread. |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Number of events received, other than row change events, by the NDB binary log injector thread. |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Number of operations based on or using primary keys by this MySQL Server (SQL node). |
||
No | No | Yes |
No | Session | No |
DESCRIPTION: Number of operations based on or using primary keys in this client session. |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Number of operations based on or using primary keys by this slave. |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Number of scans that have been pruned to a single partition by this MySQL Server (SQL node). |
||
No | No | Yes |
No | Session | No |
DESCRIPTION: Number of scans that have been pruned to a single partition in this client session. |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Number of range scans that have been started by this slave. |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Total number of rows that have been read by this MySQL Server (SQL node). |
||
No | No | Yes |
No | Session | No |
DESCRIPTION: Total number of rows that have been read in this client session. |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Number of batches of rows received by this slave. |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Number of table scans that have been started, including scans of internal tables, by this MySQL Server (SQL node). |
||
No | No | Yes |
No | Session | No |
DESCRIPTION: Number of table scans that have been started, including scans of internal tables, in this client session. |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Number of transactions aborted by this MySQL Server (SQL node). |
||
No | No | Yes |
No | Session | No |
DESCRIPTION: Number of transactions aborted in this client session. |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Number of transactions aborted by this slave. |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Number of transactions aborted (may be greater than the sum of TransCommitCount and TransAbortCount) by this MySQL Server (SQL node). |
||
No | No | Yes |
No | Session | No |
DESCRIPTION: Number of transactions aborted (may be greater than the sum of TransCommitCount and TransAbortCount) in this client session. |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Number of transactions aborted (may be greater than the sum of TransCommitCount and TransAbortCount) by this slave. |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Number of transactions committed by this MySQL Server (SQL node). |
||
No | No | Yes |
No | Session | No |
DESCRIPTION: Number of transactions committed in this client session. |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Number of transactions committed by this slave. |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Total number of rows that have been read by this slave. |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Number of transactions started by this MySQL Server (SQL node). |
||
No | No | Yes |
No | Session | No |
DESCRIPTION: Number of transactions started in this client session. |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Number of transactions started by this slave. |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Number of operations based on or using unique keys by this MySQL Server (SQL node). |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Number of operations based on or using unique keys by this slave. |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Number of times thread has been blocked while waiting for execution of an operation to complete by this MySQL Server (SQL node). |
||
No | No | Yes |
No | Session | No |
DESCRIPTION: Number of times thread has been blocked while waiting for execution of an operation to complete in this client session. |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Number of times thread has been blocked while waiting for execution of an operation to complete by this slave. |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Number of times thread has been blocked waiting for a metadata-based signal by this MySQL Server (SQL node). |
||
No | No | Yes |
No | Session | No |
DESCRIPTION: Number of times thread has been blocked waiting for a metadata-based signal in this client session. |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Total time (in nanoseconds) spent waiting for some type of signal from the data nodes by this MySQL Server (SQL node). |
||
No | No | Yes |
No | Session | No |
DESCRIPTION: Total time (in nanoseconds) spent waiting for some type of signal from the data nodes in this client session. |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Total time (in nanoseconds) spent waiting for some type of signal from the data nodes by this slave. |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Number of times thread has been blocked while waiting for a scan-based signal by this MySQL Server (SQL node). |
||
No | No | Yes |
No | Session | No |
DESCRIPTION: Number of times thread has been blocked while waiting for a scan-based signal in this client session. |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Number of times thread has been blocked while waiting for a scan-based signal by this slave. |
||
Yes | Yes | No |
Yes | Both | Yes |
DESCRIPTION: NDB auto-increment prefetch size |
||
Yes | Yes | No |
Yes | Global | Yes |
DESCRIPTION: Number of milliseconds between checks of cluster SQL nodes made by the MySQL query cache |
||
Yes | Yes | No |
No | Global | Yes |
DESCRIPTION: Causes RESET SLAVE to clear all rows from the ndb_apply_status table. ON by default. |
||
No | No | Yes |
No | Both | No |
DESCRIPTION: If the server is acting as a MySQL Cluster node, then the value of this variable its node ID in the cluster |
||
No | No | Yes |
No | Both | No |
DESCRIPTION: The host name or IP address of the Cluster management server. Formerly Ndb_connected_host |
||
No | No | Yes |
No | Both | No |
DESCRIPTION: The port for connecting to Cluster management server. Formerly Ndb_connected_port |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Number of rows that have been found in conflict by the NDB$EPOCH_TRANS() conflict detection function |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: If the server is part of a MySQL Cluster involved in cluster replication, the value of this variable indicates the number of times that conflict resolution based on "greater timestamp wins" has been applied |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: If the server is part of a MySQL Cluster involved in cluster replication, the value of this variable indicates the number of times that "same timestamp wins" conflict resolution has been applied |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Number of internal iterations required to commit an epoch transaction. Should be (slightly) greater than or equal to Ndb_conflict_trans_conflict_commit_count. |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Total number of rows realigned after being found in conflict by a transactional conflict function. Includes Ndb_conflict_trans_row_conflict_count and any rows included in or dependent on conflicting transactions. |
||
Yes | Yes | No |
Yes | Both | Yes |
DESCRIPTION: Specifies that constraint checks should be deferred (where these are supported). Not normally needed or used; for testing purposes only. |
||
Yes | Yes | No |
Yes | Global | Yes |
DESCRIPTION: Default distribution for new tables in NDBCLUSTER (KEYHASH or LINHASH, default is KEYHASH) |
||
Yes | Yes | No |
Yes | Global | Yes |
DESCRIPTION: Percentage of free memory that should be available in event buffer before resumption of buffering, after reaching limit set by ndb_eventbuffer_max_alloc. |
||
Yes | Yes | No |
Yes | Global | Yes |
DESCRIPTION: Maximum memory that can be allocated for buffering events by the NDB API. Defaults to 0 (no limit). |
||
Yes | Yes | No |
Yes | Global | Yes |
DESCRIPTION: Controls logging of MySQL Cluster schema, connection, and data distribution events in the MySQL error log |
||
Yes | Yes | No |
Yes | Both | Yes |
DESCRIPTION: Forces sending of buffers to NDB immediately, without waiting for other threads |
||
Yes | Yes | No |
Yes | Both | Yes |
DESCRIPTION: Use NDB index statistics in query optimization |
||
Yes | Yes | No |
Yes | Both | Yes |
DESCRIPTION: Comma-separated list of tunable options for NDB index statistics; the list should contain no spaces |
||
No | Yes | No |
No | Both | Yes |
DESCRIPTION: Enables pushing down of joins to data nodes |
||
Yes | Yes | No |
Yes | Global | No |
DESCRIPTION: Whether or not a MySQL server acting as a slave logs mysql.ndb_apply_status updates received from its immediate master in its own binary log, using its own server ID. |
||
Yes | Yes | No |
No | Both | Yes |
DESCRIPTION: Write updates to NDB tables in the binary log. Effective only if binary logging is enabled with --log-bin. |
||
Yes | Yes | No |
No | Global | Yes |
DESCRIPTION: Insert mapping between epochs and binary log positions into the ndb_binlog_index table. Defaults to ON. Effective only if binary logging is enabled on the server. |
||
Yes | Yes | No |
Yes | Global | Yes |
DESCRIPTION: When enabled, epochs in which there were no changes are written to the ndb_apply_status and ndb_binlog_index tables, even when log_slave_updates is enabled. |
||
Yes | Yes | No |
Yes | Both | Yes |
DESCRIPTION: Log primary key reads with exclusive locks; allow conflict resolution based on read conflicts. |
||
Yes | Yes | No |
Yes | Global | No |
DESCRIPTION: Whether the id and epoch of the originating server are recorded in the mysql.ndb_binlog_index table. Set using the --ndb-log-orig option when starting mysqld. |
||
No | Yes | No |
No | Global | No |
DESCRIPTION: Whether NDB transaction IDs are written into the binary log. (Read-only.) |
||
Yes | Yes | No |
Yes | Global | Yes |
DESCRIPTION: Log complete rows (ON) or updates only (OFF) |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: If the server is part of a MySQL Cluster, the value of this variable is the number of data nodes in the cluster |
||
No | Yes | No |
No | Global | Yes |
DESCRIPTION: Sets the number of milliseconds to wait between processing sets of rows by OPTIMIZE TABLE on NDB tables. |
||
Yes | Yes | No |
Yes | Global | No |
DESCRIPTION: Determines how an SQL node chooses a cluster data node to use as transaction coordinator |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Number of joins that API nodes have attempted to push down to the data nodes |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: Number of joins successfully pushed down and executed on the data nodes |
||
No | No | No |
No | No | |
DESCRIPTION: Activation threshold when receive thread takes over the polling of the cluster connection (measured in concurrently active threads) |
||
No | Yes | No |
No | Global | Yes |
DESCRIPTION: CPU mask for locking receiver threads to specific CPUs; specified as hexadecimal. See documentation for details. |
||
Yes | No | No |
Yes | No | |
DESCRIPTION: This is a threshold on the number of epochs to be behind before reporting binary log status |
||
Yes | No | No |
Yes | No | |
DESCRIPTION: This is a threshold on the percentage of free memory remaining before reporting binary log status |
||
No | No | Yes |
No | Global | No |
DESCRIPTION: The total number of scans executed by NDB since the cluster was last started |
||
Yes | Yes | No |
Yes | Global | Yes |
DESCRIPTION: Show the mock tables used to support foreign_key_checks=0. |
||
Yes | Yes | No |
Yes | Global | Yes |
DESCRIPTION: Role for slave to play in conflict detection and resolution. Value is one of PRIMARY, SECONDARY, PASS, or NONE (default). Can be changed only when slave SQL thread is stopped. See documentation for further information. |
||
No | Yes | No |
No | Global | No |
DESCRIPTION: The most recently committed NDB epoch on this slave. When this value is greater than or equal to Ndb_conflict_last_conflict_epoch, no conflicts have yet been detected. |
||
No | Yes | No |
No | Session | Yes |
DESCRIPTION: NDB tables created when this setting is enabled are not checkpointed to disk (although table schema files are created). The setting in effect when the table is created with or altered to use NDBCLUSTER persists for the lifetime of the table. |
||
No | Yes | No |
No | Session | Yes |
DESCRIPTION: NDB tables are not persistent on disk: no schema files are created and the tables are not logged |
||
No | Yes | No |
No | Both | Yes |
DESCRIPTION: Use exact row count when planning queries |
||
Yes | Yes | No |
Yes | Both | Yes |
DESCRIPTION: Forces NDB to use a count of records during SELECT COUNT(*) query planning to speed up this type of query |
||
No | Yes | No |
No | Global | No |
DESCRIPTION: Shows build and NDB engine version as an integer. |
||
No | Yes | No |
No | Global | No |
DESCRIPTION: Shows build information including NDB engine version in ndb-x.y.z format. |
||
Yes | No | No |
Yes | No | |
DESCRIPTION: Enable NDB Cluster (if this version of MySQL supports it)
Disabled by |
||
No | Yes | No |
No | Global | No |
DESCRIPTION: The name used for the NDB information database; read only. |
||
Yes | Yes | No |
No | Both | Yes |
DESCRIPTION: Used for debugging only. |
||
Yes | Yes | No |
No | Both | Yes |
DESCRIPTION: Used for debugging only. |
||
No | Yes | No |
No | Global | Yes |
DESCRIPTION: Put the ndbinfo database into offline mode, in which no rows are returned from tables or views. |
||
Yes | Yes | No |
No | Both | Yes |
DESCRIPTION: Whether to show ndbinfo internal base tables in the mysql client. The default is OFF. |
||
Yes | Yes | No |
No | Both | Yes |
DESCRIPTION: The prefix to use for naming ndbinfo internal base tables |
||
No | Yes | No |
No | Global | No |
DESCRIPTION: The version of the ndbinfo engine; read only. |
||
Yes | Yes | No |
Yes | Global | No |
DESCRIPTION: Sets the number of least significant bits in the server_id actually used for identifying the server, permitting NDB API applications to store application data in the most significant bits. server_id must be less than 2 to the power of this value. |
||
Yes | Yes | No |
Yes | Global | No |
DESCRIPTION: The effective value of server_id if the server was started with the --server-id-bits option set to a nondefault value. |
||
Yes | Yes | No |
Yes | Global | Yes |
DESCRIPTION: Turns update batching on and off for a replication slave |
||
No | Yes | No |
No | Session | Yes |
DESCRIPTION: Allows batching of statements within a transaction. Disable AUTOCOMMIT to use. |
Configuring MySQL Cluster requires working with two files:
my.cnf
: Specifies options for all MySQL
Cluster executables. This file, with which you should be
familiar with from previous work with MySQL, must be
accessible by each executable running in the cluster.
config.ini
: This file, sometimes known as
the global configuration
file, is read only by the MySQL Cluster management
server, which then distributes the information contained
therein to all processes participating in the cluster.
config.ini
contains a description of each
node involved in the cluster. This includes configuration
parameters for data nodes and configuration parameters for
connections between all nodes in the cluster. For a quick
reference to the sections that can appear in this file, and
what sorts of configuration parameters may be placed in each
section, see
Sections of
the config.ini
File.
Caching of configuration data.
NDB
uses stateful
configuration. Rather than reading the global
configuration file every time the management server is
restarted, the management server caches the configuration the
first time it is started, and thereafter, the global
configuration file is read only when one of the following
conditions is true:
The management server is started using the --initial option. In this case, the global configuration file is re-read, any existing cache files are deleted, and the management server creates a new configuration cache.
The management server is started using the --reload option. In this case, the management server compares its cache with the global configuration file. If they differ, the management server creates a new configuration cache; any existing configuration cache is preserved, but not used. If the management server's cache and the global configuration file contain the same configuration data, then the existing cache is used, and no new cache is created.
The management server is started using a --config-cache option.
This option can be used to force the management server to
bypass configuration caching altogether. In this case, the
management server ignores any configuration files that may
be present, always reading its configuration data from the
config.ini
file instead.
No configuration cache is found. In this case, the management server reads the global configuration file and creates a cache containing the same configuration data as found in the file.
Configuration cache files.
The management server by default creates configuration cache
files in a directory named mysql-cluster
in
the MySQL installation directory. (If you build MySQL Cluster
from source on a Unix system, the default location is
/usr/local/mysql-cluster
.) This can be
overridden at runtime by starting the management server with the
--configdir
option.
Configuration cache files are binary files named according to
the pattern
ndb_
,
where node_id
_config.bin.seq_id
node_id
is the management
server's node ID in the cluster, and
seq_id
is a cache idenitifer. Cache
files are numbered sequentially using
seq_id
, in the order in which they
are created. The management server uses the latest cache file as
determined by the seq_id
.
It is possible to roll back to a previous configuration by
deleting later configuration cache files, or by renaming an
earlier cache file so that it has a higher
seq_id
. However, since configuration
cache files are written in a binary format, you should not
attempt to edit their contents by hand.
For more information about the
--configdir
,
--config-cache
,
--initial
, and
--reload
options for the MySQL
Cluster management server, see
Section 18.4.4, “ndb_mgmd — The MySQL Cluster Management Server Daemon”.
We are continuously making improvements in Cluster configuration and attempting to simplify this process. Although we strive to maintain backward compatibility, there may be times when introduce an incompatible change. In such cases we will try to let Cluster users know in advance if a change is not backward compatible. If you find such a change and we have not documented it, please report it in the MySQL bugs database using the instructions given in Section 1.7, “How to Report Bugs or Problems”.
To support MySQL Cluster, you will need to update
my.cnf
as shown in the following example.
You may also specify these parameters on the command line when
invoking the executables.
The options shown here should not be confused with those that
are used in config.ini
global
configuration files. Global configuration options are
discussed later in this section.
# my.cnf # example additions to my.cnf for MySQL Cluster # (valid in MySQL 5.7) # enable ndbcluster storage engine, and provide connection string for # management server host (default port is 1186) [mysqld] ndbcluster ndb-connectstring=ndb_mgmd.mysql.com # provide connection string for management server host (default port: 1186) [ndbd] connect-string=ndb_mgmd.mysql.com # provide connection string for management server host (default port: 1186) [ndb_mgm] connect-string=ndb_mgmd.mysql.com # provide location of cluster configuration file [ndb_mgmd] config-file=/etc/config.ini
(For more information on connection strings, see Section 18.3.3.3, “MySQL Cluster Connection Strings”.)
# my.cnf # example additions to my.cnf for MySQL Cluster # (will work on all versions) # enable ndbcluster storage engine, and provide connection string for management # server host to the default port 1186 [mysqld] ndbcluster ndb-connectstring=ndb_mgmd.mysql.com:1186
Once you have started a mysqld process with
the NDBCLUSTER
and
ndb-connectstring
parameters in the
[mysqld]
in the my.cnf
file as shown previously, you cannot execute any
CREATE TABLE
or
ALTER TABLE
statements without
having actually started the cluster. Otherwise, these
statements will fail with an error. This is by
design.
You may also use a separate [mysql_cluster]
section in the cluster my.cnf
file for
settings to be read and used by all executables:
# cluster-specific settings [mysql_cluster] ndb-connectstring=ndb_mgmd.mysql.com:1186
For additional NDB
variables that
can be set in the my.cnf
file, see
Section 18.3.3.8.2, “MySQL Cluster System Variables”.
The MySQL Cluster global configuration file is by convention
named config.ini
(but this is not
required). If needed, it is read by ndb_mgmd
at startup and can be placed in any location that can be read by
it. The location and name of the configuration are specified
using
--config-file=
with ndb_mgmd on the command line. This
option has no default value, and is ignored if
ndb_mgmd uses the configuration cache.
path_name
The global configuration file for MySQL Cluster uses INI format,
which consists of sections preceded by section headings
(surrounded by square brackets), followed by the appropriate
parameter names and values. One deviation from the standard INI
format is that the parameter name and value can be separated by
a colon (“:
”) as well as the
equal sign (“=
”); however, the
equal sign is preferred. Another deviation is that sections are
not uniquely identified by section name. Instead, unique
sections (such as two different nodes of the same type) are
identified by a unique ID specified as a parameter within the
section.
Default values are defined for most parameters, and can also be
specified in config.ini
. To create a
default value section, simply add the word
default
to the section name. For example, an
[ndbd]
section contains parameters that apply
to a particular data node, whereas an [ndbd
default]
section contains parameters that apply to all
data nodes. Suppose that all data nodes should use the same data
memory size. To configure them all, create an [ndbd
default]
section that contains a
DataMemory
line to
specify the data memory size.
In some older releases of MySQL Cluster, there was no default
value for
NoOfReplicas
, which
always had to be specified explicitly in the [ndbd
default]
section. Although this parameter now has a
default value of 2, which is the recommended setting in most
common usage scenarios, it is still recommended practice to
set this parameter explicitly.
The global configuration file must define the computers and nodes involved in the cluster and on which computers these nodes are located. An example of a simple configuration file for a cluster consisting of one management server, two data nodes and two MySQL servers is shown here:
# file "config.ini" - 2 data nodes and 2 SQL nodes # This file is placed in the startup directory of ndb_mgmd (the # management server) # The first MySQL Server can be started from any host. The second # can be started only on the host mysqld_5.mysql.com [ndbd default] NoOfReplicas= 2 DataDir= /var/lib/mysql-cluster [ndb_mgmd] Hostname= ndb_mgmd.mysql.com DataDir= /var/lib/mysql-cluster [ndbd] HostName= ndbd_2.mysql.com [ndbd] HostName= ndbd_3.mysql.com [mysqld] [mysqld] HostName= mysqld_5.mysql.com
The preceding example is intended as a minimal starting configuration for purposes of familiarization with MySQL Cluster, and is almost certain not to be sufficient for production settings. See Section 18.3.3.2, “Recommended Starting Configuration for MySQL Cluster”, which provides a more complete example starting configuration.
Each node has its own section in the
config.ini
file. For example, this cluster
has two data nodes, so the preceding configuration file contains
two [ndbd]
sections defining these nodes.
Do not place comments on the same line as a section heading in
the config.ini
file; this causes the
management server not to start because it cannot parse the
configuration file in such cases.
There are six different sections that you can use in the
config.ini
configuration file, as described
in the following list:
[computer]
: Defines cluster hosts. This
is not required to configure a viable MySQL Cluster, but be
may used as a convenience when setting up a large cluster.
See Section 18.3.3.4, “Defining Computers in a MySQL Cluster”, for
more information.
[ndbd]
: Defines a cluster data node
(ndbd process). See
Section 18.3.3.6, “Defining MySQL Cluster Data Nodes”, for
details.
[mysqld]
: Defines the cluster's MySQL
server nodes (also called SQL or API nodes). For a
discussion of SQL node configuration, see
Section 18.3.3.7, “Defining SQL and Other API Nodes in a MySQL Cluster”.
[mgm]
or [ndb_mgmd]
:
Defines a cluster management server (MGM) node. For
information concerning the configuration of management
nodes, see Section 18.3.3.5, “Defining a MySQL Cluster Management Server”.
[tcp]
: Defines a TCP/IP connection
between cluster nodes, with TCP/IP being the default
connection protocol. Normally, [tcp]
or
[tcp default]
sections are not required
to set up a MySQL Cluster, as the cluster handles this
automatically; however, it may be necessary in some
situations to override the defaults provided by the cluster.
See Section 18.3.3.9, “MySQL Cluster TCP/IP Connections”, for
information about available TCP/IP configuration parameters
and how to use them. (You may also find
Section 18.3.3.10, “MySQL Cluster TCP/IP Connections Using Direct Connections” to be
of interest in some cases.)
[shm]
: Defines shared-memory connections
between nodes. In MySQL 5.7, it is enabled by
default, but should still be considered experimental. For a
discussion of SHM interconnects, see
Section 18.3.3.11, “MySQL Cluster Shared-Memory Connections”.
[sci]
:Defines
Scalable Coherent
Interface connections between cluster data nodes.
Such connections require software which, while freely
available, is not part of the MySQL Cluster distribution, as
well as specialized hardware. See
Section 18.3.3.12, “SCI Transport Connections in MySQL Cluster” for detailed
information about SCI interconnects.
You can define default
values for each
section. All Cluster parameter names are case-insensitive, which
differs from parameters specified in my.cnf
or my.ini
files.
Achieving the best performance from a MySQL Cluster depends on a number of factors including the following:
MySQL Cluster software version
Numbers of data nodes and SQL nodes
Hardware
Operating system
Amount of data to be stored
Size and type of load under which the cluster is to operate
Therefore, obtaining an optimum configuration is likely to be an iterative process, the outcome of which can vary widely with the specifics of each MySQL Cluster deployment. Changes in configuration are also likely to be indicated when changes are made in the platform on which the cluster is run, or in applications that use the MySQL Cluster's data. For these reasons, it is not possible to offer a single configuration that is ideal for all usage scenarios. However, in this section, we provide a recommended base configuration.
Starting config.ini file.
The following config.ini
file is a
recommended starting point for configuring a cluster running
MySQL Cluster NDB 7.5:
# TCP PARAMETERS [tcp default]SendBufferMemory
=2MReceiveBufferMemory
=2M # Increasing the sizes of these 2 buffers beyond the default values # helps prevent bottlenecks due to slow disk I/O. # MANAGEMENT NODE PARAMETERS [ndb_mgmd default]DataDir
=path/to/management/server/data/directory
# It is possible to use a different data directory for each management # server, but for ease of administration it is preferable to be # consistent. [ndb_mgmd]HostName
=management-server-A-hostname
#NodeId
=management-server-A-nodeid
[ndb_mgmd]HostName
=management-server-B-hostname
#NodeId
=management-server-B-nodeid
# Using 2 management servers helps guarantee that there is always an # arbitrator in the event of network partitioning, and so is # recommended for high availability. Each management server must be # identified by a HostName. You may for the sake of convenience specify # a NodeId for any management server, although one will be allocated # for it automatically; if you do so, it must be in the range 1-255 # inclusive and must be unique among all IDs specified for cluster # nodes. # DATA NODE PARAMETERS [ndbd default]NoOfReplicas
=2 # Using 2 replicas is recommended to guarantee availability of data; # using only 1 replica does not provide any redundancy, which means # that the failure of a single data node causes the entire cluster to # shut down. We do not recommend using more than 2 replicas, since 2 is # sufficient to provide high availability, and we do not currently test # with greater values for this parameter.LockPagesInMainMemory
=1 # On Linux and Solaris systems, setting this parameter locks data node # processes into memory. Doing so prevents them from swapping to disk, # which can severely degrade cluster performance.DataMemory
=3072MIndexMemory
=384M # The values provided for DataMemory and IndexMemory assume 4 GB RAM # per data node. However, for best results, you should first calculate # the memory that would be used based on the data you actually plan to # store (you may find the ndb_size.pl utility helpful in estimating # this), then allow an extra 20% over the calculated values. Naturally, # you should ensure that each data node host has at least as much # physical memory as the sum of these two values. #ODirect
=1 # Enabling this parameter causes NDBCLUSTER to try using O_DIRECT # writes for local checkpoints and redo logs; this can reduce load on # CPUs. We recommend doing so when using MySQL Cluster on systems running # Linux kernel 2.6 or later.NoOfFragmentLogFiles
=300DataDir
=path/to/data/node/data/directory
MaxNoOfConcurrentOperations
=100000SchedulerSpinTimer
=400SchedulerExecutionTimer
=100RealTimeScheduler
=1 # Setting these parameters allows you to take advantage of real-time scheduling # of NDB threads to achieve increased throughput when using ndbd. They # are not needed when using ndbmtd; in particular, you should not set #RealTimeScheduler
for ndbmtd data nodes.TimeBetweenGlobalCheckpoints
=1000TimeBetweenEpochs
=200RedoBuffer
=32M #CompressedLCP
=1 #CompressedBackup
=1 # Enabling CompressedLCP and CompressedBackup causes, respectively, local checkpoint files and backup files to be compressed, which can result in a space savings of up to 50% over noncompressed LCPs and backups. #MaxNoOfLocalScans
=64MaxNoOfTables
=1024MaxNoOfOrderedIndexes
=256 [ndbd]HostName
=data-node-A-hostname
#NodeId
=data-node-A-nodeid
LockExecuteThreadToCPU
=1LockMaintThreadsToCPU
=0 # On systems with multiple CPUs, these parameters can be used to lock NDBCLUSTER # threads to specific CPUs [ndbd]HostName
=data-node-B-hostname
#NodeId
=data-node-B-nodeid
LockExecuteThreadToCPU
=1LockMaintThreadsToCPU
=0 # You must have an [ndbd] section for every data node in the cluster; # each of these sections must include a HostName. Each section may # optionally include a NodeId for convenience, but in most cases, it is # sufficient to allow the cluster to allocate node IDs dynamically. If # you do specify the node ID for a data node, it must be in the range 1 # to 48 inclusive and must be unique among all IDs specified for # cluster nodes. # SQL NODE / API NODE PARAMETERS [mysqld] #HostName
=sql-node-A-hostname
#NodeId
=sql-node-A-nodeid
[mysqld] [mysqld] # Each API or SQL node that connects to the cluster requires a [mysqld] # or [api] section of its own. Each such section defines a connection # “slot”; you should have at least as many of these sections in the # config.ini file as the total number of API nodes and SQL nodes that # you wish to have connected to the cluster at any given time. There is # no performance or other penalty for having extra slots available in # case you find later that you want or need more API or SQL nodes to # connect to the cluster at the same time. # If no HostName is specified for a given [mysqld] or [api] section, # then any API or SQL node may use that slot to connect to the # cluster. You may wish to use an explicit HostName for one connection slot # to guarantee that an API or SQL node from that host can always # connect to the cluster. If you wish to prevent API or SQL nodes from # connecting from other than a desired host or hosts, then use a # HostName for every [mysqld] or [api] section in the config.ini file. # You can if you wish define a node ID (NodeId parameter) for any API or # SQL node, but this is not necessary; if you do so, it must be in the # range 1 to 255 inclusive and must be unique among all IDs specified # for cluster nodes.
Recommended my.cnf options for SQL nodes.
MySQL Servers acting as MySQL Cluster SQL nodes must always be
started with the --ndbcluster
and --ndb-connectstring
options, either on
the command line or in my.cnf
. In
addition, set the following options for all
mysqld processes in the cluster, unless
your setup requires otherwise:
--ndb-use-exact-count=0
--ndb-index-stat-enable=0
--ndb-force-send=1
--engine-condition-pushdown=1
With the exception of the MySQL Cluster management server (ndb_mgmd), each node that is part of a MySQL Cluster requires a connection string that points to the management server's location. This connection string is used in establishing a connection to the management server as well as in performing other tasks depending on the node's role in the cluster. The syntax for a connection string is as follows:
[nodeid=node_id
, ]host-definition
[,host-definition
[, ...]]host-definition
:host_name
[:port_number
]
node_id
is an integer greater than or equal
to 1 which identifies a node in config.ini
.
host_name
is a string representing a
valid Internet host name or IP address.
port_number
is an integer referring
to a TCP/IP port number.
example 1 (long): "nodeid=2,myhost1:1100,myhost2:1100,192.168.0.3:1200" example 2 (short): "myhost1"
localhost:1186
is used as the default
connection string value if none is provided. If
port_num
is omitted from the
connection string, the default port is 1186. This port should
always be available on the network because it has been assigned
by IANA for this purpose (see
http://www.iana.org/assignments/port-numbers for
details).
By listing multiple host definitions, it is possible to designate several redundant management servers. A MySQL Cluster data or API node attempts to contact successive management servers on each host in the order specified, until a successful connection has been established.
It is also possible to specify in a connection string one or more bind addresses to be used by nodes having multiple network interfaces for connecting to management servers. A bind address consists of a hostname or network address and an optional port number. This enhanced syntax for connection strings is shown here:
[nodeid=node_id
, ] [bind-address=host-definition
, ]host-definition
[; bind-address=host-definition
]host-definition
[; bind-address=host-definition
] [, ...]]host-definition
:host_name
[:port_number
]
If a single bind address is used in the connection string
prior to specifying any management hosts,
then this address is used as the default for connecting to any
of them (unless overridden for a given management server; see
later in this section for an example). For example, the
following connection string causes the node to use
192.168.178.242
regardless of the management
server to which it connects:
bind-address=192.168.178.242, poseidon:1186, perch:1186
If a bind address is specified following a management host definition, then it is used only for connecting to that management node. Consider the following connection string:
poseidon:1186;bind-address=localhost, perch:1186;bind-address=192.168.178.242
In this case, the node uses localhost
to
connect to the management server running on the host named
poseidon
and
192.168.178.242
to connect to the management
server running on the host named perch
.
You can specify a default bind address and then override this
default for one or more specific management hosts. In the
following example, localhost
is used for
connecting to the management server running on host
poseidon
; since
192.168.178.242
is specified first (before
any management server definitions), it is the default bind
address and so is used for connecting to the management servers
on hosts perch
and orca
:
bind-address=192.168.178.242,poseidon:1186;bind-address=localhost,perch:1186,orca:2200
There are a number of different ways to specify the connection string:
Each executable has its own command-line option which enables specifying the management server at startup. (See the documentation for the respective executable.)
It is also possible to set the connection string for all
nodes in the cluster at once by placing it in a
[mysql_cluster]
section in the management
server's my.cnf
file.
For backward compatibility, two other options are available, using the same syntax:
Set the NDB_CONNECTSTRING
environment
variable to contain the connection string.
Write the connection string for each executable into a
text file named Ndb.cfg
and place
this file in the executable's startup directory.
However, these are now deprecated and should not be used for new installations.
The recommended method for specifying the connection string is
to set it on the command line or in the
my.cnf
file for each executable.
The [computer]
section has no real
significance other than serving as a way to avoid the need of
defining host names for each node in the system. All parameters
mentioned here are required.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | string | [none] | ... | IS |
This is a unique identifier, used to refer to the host computer elsewhere in the configuration file.
The computer ID is not the same as
the node ID used for a management, API, or data node.
Unlike the case with node IDs, you cannot use
NodeId
in place of
Id
in the [computer]
section of the config.ini
file.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | name or IP address | [none] | ... | N |
This is the computer's hostname or IP address.
The [ndb_mgmd]
section is used to configure
the behavior of the management server. If multiple management
servers are employed, you can specify parameters common to all
of them in an [ndb_mgmd default]
section.
[mgm]
and [mgm default]
are older aliases for these, supported for backward
compatibility.
All parameters in the following list are optional and assume their default values if omitted.
If neither the ExecuteOnComputer
nor the
HostName
parameter is present, the default
value localhost
will be assumed for both.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | unsigned | [none] | 1 - 255 | IS |
Each node in the cluster has a unique identity. For a management node, this is represented by an integer value in the range 1 to 255, inclusive. This ID is used by all internal cluster messages for addressing the node, and so must be unique for each MySQL Cluster node, regardless of the type of node.
Data node IDs must be less than 49. If you plan to deploy a large number of data nodes, it is a good idea to limit the node IDs for management nodes (and API nodes) to values greater than 48.
The use of the Id
parameter for
identifying management nodes is deprecated in favor of
NodeId
. Although
Id
continues to be supported for backward
compatibility, it now generates a warning and is subject to
removal in a future version of MySQL Cluster.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | unsigned | [none] | 1 - 255 | IS |
Each node in the cluster has a unique identity. For a management node, this is represented by an integer value in the range 1 to 255 inclusive. This ID is used by all internal cluster messages for addressing the node, and so must be unique for each MySQL Cluster node, regardless of the type of node.
Data node IDs must be less than 49. If you plan to deploy a large number of data nodes, it is a good idea to limit the node IDs for management nodes (and API nodes) to values greater than 48.
NodeId
is the preferred parameter name to
use when identifying management nodes. Although the older
Id
continues to be
supported for backward compatibility, it is now deprecated
and generates a warning when used; it is also subject to
removal in a future MySQL Cluster release.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | name | [none] | ... | S |
This refers to the Id
set for one of the
computers defined in a [computer]
section
of the config.ini
file.
This parameter is deprecated as of MySQL Cluster NDB
7.5.0, and is subject to removal in a future release. Use
the HostName
parameter instead.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | unsigned | 1186 | 0 - 64K | S |
This is the port number on which the management server listens for configuration requests and management commands.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | name or IP address | [none] | ... | N |
Specifying this parameter defines the hostname of the
computer on which the management node is to reside. To
specify a hostname other than localhost
,
either this parameter or
ExecuteOnComputer
is required.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | {CONSOLE|SYSLOG|FILE} | [see text] | ... | N |
This parameter specifies where to send cluster logging
information. There are three options in this
regard—CONSOLE
,
SYSLOG
, and
FILE
—with FILE
being the default:
CONSOLE
outputs the log to
stdout
:
CONSOLE
SYSLOG
sends the log to a
syslog
facility, possible values
being one of auth
,
authpriv
, cron
,
daemon
, ftp
,
kern
, lpr
,
mail
, news
,
syslog
, user
,
uucp
, local0
,
local1
, local2
,
local3
, local4
,
local5
, local6
, or
local7
.
Not every facility is necessarily supported by every operating system.
SYSLOG:facility=syslog
FILE
pipes the cluster log output to
a regular file on the same machine. The following values
can be specified:
filename
: The name of the log
file.
The default log file name used in such cases is
ndb_
.
nodeid
_cluster.log
maxsize
: The maximum size (in
bytes) to which the file can grow before logging
rolls over to a new file. When this occurs, the old
log file is renamed by appending
.N
to the file name,
where N
is the next
number not yet used with this name.
maxfiles
: The maximum number of
log files.
FILE:filename=cluster.log,maxsize=1000000,maxfiles=6
The default value for the FILE
parameter is
FILE:filename=ndb_
,
where node_id
_cluster.log,maxsize=1000000,maxfiles=6node_id
is the ID of
the node.
It is possible to specify multiple log destinations separated by semicolons as shown here:
CONSOLE;SYSLOG:facility=local0;FILE:filename=/var/log/mgmd
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | 0-2 | 1 | 0 - 2 | N |
This parameter is used to define which nodes can act as
arbitrators. Only management nodes and SQL nodes can be
arbitrators. ArbitrationRank
can take one
of the following values:
0
: The node will never be used as an
arbitrator.
1
: The node has high priority; that
is, it will be preferred as an arbitrator over
low-priority nodes.
2
: Indicates a low-priority node
which be used as an arbitrator only if a node with a
higher priority is not available for that purpose.
Normally, the management server should be configured as an
arbitrator by setting its ArbitrationRank
to 1 (the default for management nodes) and those for all
SQL nodes to 0 (the default for SQL nodes).
You can disable arbitration completely either by setting
ArbitrationRank
to 0 on all management
and SQL nodes, or by setting the
Arbitration
parameter in the [ndbd default]
section
of the config.ini
global configuration
file. Setting
Arbitration
causes
any settings for ArbitrationRank
to be
disregarded.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | milliseconds | 0 | 0 - 4294967039 (0xFFFFFEFF) | N |
An integer value which causes the management server's responses to arbitration requests to be delayed by that number of milliseconds. By default, this value is 0; it is normally not necessary to change it.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | path | . | ... | N |
This specifies the directory where output files from the
management server will be placed. These files include
cluster log files, process output files, and the daemon's
process ID (PID) file. (For log files, this location can be
overridden by setting the FILE
parameter
for LogDestination
as discussed previously in this section.)
The default value for this parameter is the directory in which ndb_mgmd is located.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | unsigned | [none] | 0 - 64K | N |
This parameter specifies the port number used to obtain statistical information from a MySQL Cluster management server. It has no default value.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | boolean | false | true, false | N |
Use WAN TCP setting as default.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | string | [none] | ... | S |
Set the scheduling policy and priority of heartbeat threads for management and API nodes.
The syntax for setting this parameter is shown here:
HeartbeatThreadPriority =policy
[,priority
]policy
: {FIFO | RR}
When setting this parameter, you must specify a policy. This
is one of FIFO
(first in, first out) or
RR
(round robin). The policy value is
followed optionally by the priority (an integer).
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | bytes | 0 | 256K - 4294967039 (0xFFFFFEFF) | N |
This parameter is used to determine the total amount of memory to allocate on this node for shared send buffer memory among all configured transporters.
If this parameter is set, its minimum permitted value is 256KB; 0 indicates that the parameter has not been set. For more detailed information, see Section 18.3.3.13, “Configuring MySQL Cluster Send Buffer Parameters”.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | milliseconds | 1500 | 100 - 4294967039 (0xFFFFFEFF) | N |
Specify the interval between heartbeat messages used to determine whether another management node is on contact with this one. The management node waits after 3 of these intervals to declare the connection dead; thus, the default setting of 1500 milliseconds causes the management node to wait for approximately 1600 ms before timing out.
After making changes in a management node's configuration, it is necessary to perform a rolling restart of the cluster for the new configuration to take effect.
To add new management servers to a running MySQL Cluster, it
is also necessary to perform a rolling restart of all cluster
nodes after modifying any existing
config.ini
files. For more information
about issues arising when using multiple management nodes, see
Section 18.1.6.10, “Limitations Relating to Multiple MySQL Cluster Nodes”.
The [ndbd]
and [ndbd
default]
sections are used to configure the behavior
of the cluster's data nodes.
[ndbd]
and [ndbd default]
are always used as the section names whether you are using
ndbd or ndbmtd binaries
for the data node processes.
There are many parameters which control buffer sizes, pool
sizes, timeouts, and so forth. The only mandatory parameter is
either one of ExecuteOnComputer
or
HostName
; this must be defined in the local
[ndbd]
section.
The parameter
NoOfReplicas
should be
defined in the [ndbd default]
section, as it
is common to all Cluster data nodes. It is not strictly
necessary to set
NoOfReplicas
, but it is
good practice to set it explicitly.
Most data node parameters are set in the [ndbd
default]
section. Only those parameters explicitly
stated as being able to set local values are permitted to be
changed in the [ndbd]
section. Where present,
HostName
, NodeId
and
ExecuteOnComputer
must
be defined in the local [ndbd]
section, and
not in any other section of config.ini
. In
other words, settings for these parameters are specific to one
data node.
For those parameters affecting memory usage or buffer sizes, it
is possible to use K
, M
,
or G
as a suffix to indicate units of 1024,
1024×1024, or 1024×1024×1024. (For example,
100K
means 100 × 1024 = 102400.)
Parameter names and values are currently case-sensitive.
Information about configuration parameters specific to MySQL Cluster Disk Data tables can be found later in this section (see Disk Data Configuration Parameters).
All of these parameters also apply to ndbmtd
(the multi-threaded version of ndbd). Three
additional data node configuration
parameters—MaxNoOfExecutionThreads
,
ThreadConfig
, and
NoOfFragmentLogParts
—apply
to ndbmtd only; these have no effect when
used with ndbd. For more information, see
Multi-Threading Configuration Parameters (ndbmtd).
See also Section 18.4.3, “ndbmtd — The MySQL Cluster Data Node Daemon (Multi-Threaded)”.
Identifying data nodes.
The NodeId
or Id
value
(that is, the data node identifier) can be allocated on the
command line when the node is started or in the configuration
file.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | unsigned | [none] | 1 - 48 | IS |
A unique node ID is used as the node's address for all cluster internal messages. For data nodes, this is an integer in the range 1 to 48 inclusive. Each node in the cluster must have a unique identifier.
NodeId
is the only supported parameter
name to use when identifying data nodes.
(Id
was removed in MySQL Cluster NDB
7.5.0.)
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | name | [none] | ... | S |
This refers to the Id
set for one of the
computers defined in a [computer]
section.
This parameter is deprecated as of MySQL Cluster NDB
7.5.0, and is subject to removal in a future release. Use
the HostName
parameter instead.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | name or IP address | localhost | ... | N |
Specifying this parameter defines the hostname of the
computer on which the data node is to reside. To specify a
hostname other than localhost
, either
this parameter or ExecuteOnComputer
is
required.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | unsigned | [none] | 1 - 64K | S |
Each node in the cluster uses a port to connect to other nodes. By default, this port is allocated dynamically in such a way as to ensure that no two nodes on the same host computer receive the same port number, so it should normally not be necessary to specify a value for this parameter.
However, if you need to be able to open specific ports in a
firewall to permit communication between data nodes and API
nodes (including SQL nodes), you can set this parameter to
the number of the desired port in an
[ndbd]
section or (if you need to do this
for multiple data nodes) the [ndbd
default]
section of the
config.ini
file, and then open the port
having that number for incoming connections from SQL nodes,
API nodes, or both.
Connections from data nodes to management nodes is done
using the ndb_mgmd management port (the
management server's PortNumber
;
see Section 18.3.3.5, “Defining a MySQL Cluster Management Server”) so
outgoing connections to that port from any data nodes
should always be permitted.
Setting this parameter to TRUE
or
1
binds IP_ADDR_ANY
so
that connections can be made from anywhere (for
autogenerated connections). The default is
FALSE
(0
).
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | [none] | 0 - 65536 | IS |
This parameter can be used to assign a data node to a
specific node group. It is read only when the cluster is
started for the first time, and cannot be used to reassign a
data node to a different node group online. It is generally
not desirable to use this parameter in the [ndbd
default]
section of the
config.ini
file, and care must be taken
not to assign nodes to node groups in such a way that an
invalid numbers of nodes are assigned to any node groups.
The NodeGroup
parameter is chiefly intended for use in adding a new node
group to a running MySQL Cluster without having to perform a
rolling restart. For this purpose, you should set it to
65536 (the maximum value). You are not required to set a
NodeGroup
value for
all cluster data nodes, only for those nodes which are to be
started and added to the cluster as a new node group at a
later time. For more information, see
Section 18.5.14.3, “Adding MySQL Cluster Data Nodes Online: Detailed Example”.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | integer | 2 | 1 - 4 | IS |
This global parameter can be set only in the [ndbd
default]
section, and defines the number of
replicas for each table stored in the cluster. This
parameter also specifies the size of node groups. A node
group is a set of nodes all storing the same information.
Node groups are formed implicitly. The first node group is
formed by the set of data nodes with the lowest node IDs,
the next node group by the set of the next lowest node
identities, and so on. By way of example, assume that we
have 4 data nodes and that
NoOfReplicas
is set
to 2. The four data nodes have node IDs 2, 3, 4 and 5. Then
the first node group is formed from nodes 2 and 3, and the
second node group by nodes 4 and 5. It is important to
configure the cluster in such a manner that nodes in the
same node groups are not placed on the same computer because
a single hardware failure would cause the entire cluster to
fail.
If no node IDs are provided, the order of the data nodes
will be the determining factor for the node group. Whether
or not explicit assignments are made, they can be viewed in
the output of the management client's
SHOW
command.
The default value for
NoOfReplicas
is 2,
which is the recommended setting in most common usage
scenarios.
The maximum possible value is 4; currently, only the values 1 and 2 are actually supported.
Setting
NoOfReplicas
to 1
means that there is only a single copy of all Cluster
data; in this case, the loss of a single data node causes
the cluster to fail because there are no additional copies
of the data stored by that node.
The value for this parameter must divide evenly into the
number of data nodes in the cluster. For example, if there
are two data nodes, then
NoOfReplicas
must be
equal to either 1 or 2, since 2/3 and 2/4 both yield
fractional values; if there are four data nodes, then
NoOfReplicas
must be
equal to 1, 2, or 4.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | path | . | ... | IN |
This parameter specifies the directory where trace files, log files, pid files and error logs are placed.
The default is the data node process working directory.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | path | DataDir | ... | IN |
This parameter specifies the directory where all files
created for metadata, REDO logs, UNDO logs (for Disk Data
tables), and data files are placed. The default is the
directory specified by DataDir
.
This directory must exist before the ndbd process is initiated.
The recommended directory hierarchy for MySQL Cluster
includes /var/lib/mysql-cluster
, under
which a directory for the node's file system is created. The
name of this subdirectory contains the node ID. For example,
if the node ID is 2, this subdirectory is named
ndb_2_fs
.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | path | [see text] | ... | IN |
This parameter specifies the directory in which backups are placed.
The string '/BACKUP
' is always appended
to this value. For example, if you set the value of
BackupDataDir
to
/var/lib/cluster-data
, then all
backups are stored under
/var/lib/cluster-data/BACKUP
. This
also means that the effective default
backup location is the directory named
BACKUP
under the location specified
by the
FileSystemPath
parameter.
DataMemory
and
IndexMemory
are
[ndbd]
parameters specifying the size of
memory segments used to store the actual records and their
indexes. In setting values for these, it is important to
understand how
DataMemory
and
IndexMemory
are used, as
they usually need to be updated to reflect actual usage by the
cluster:
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | bytes | 80M | 1M - 1024G | N |
This parameter defines the amount of space (in bytes) available for storing database records. The entire amount specified by this value is allocated in memory, so it is extremely important that the machine has sufficient physical memory to accommodate it.
The memory allocated by
DataMemory
is used
to store both the actual records and indexes. There is a
16-byte overhead on each record; an additional amount for
each record is incurred because it is stored in a 32KB page
with 128 byte page overhead (see below). There is also a
small amount wasted per page due to the fact that each
record is stored in only one page.
For variable-size table attributes, the data is stored on
separate data pages, allocated from
DataMemory
.
Variable-length records use a fixed-size part with an extra
overhead of 4 bytes to reference the variable-size part. The
variable-size part has 2 bytes overhead plus 2 bytes per
attribute.
The maximum record size is 14000 bytes.
The memory space defined by
DataMemory
is also
used to store ordered indexes, which use about 10 bytes per
record. Each table row is represented in the ordered index.
A common error among users is to assume that all indexes are
stored in the memory allocated by
IndexMemory
, but
this is not the case: Only primary key and unique hash
indexes use this memory; ordered indexes use the memory
allocated by
DataMemory
. However,
creating a primary key or unique hash index also creates an
ordered index on the same keys, unless you specify
USING HASH
in the index creation
statement. This can be verified by running ndb_desc
-d db_name
table_name
in the
management client.
Currently, MySQL Cluster can use a maximum of 512 MB for
hash indexes per partition, which means in some cases it is
possible to get Table is full errors
in MySQL client applications even when ndb_mgm -e
"ALL REPORT MEMORYUSAGE" shows significant free
DataMemory
. This can
also pose a problem with data node restarts on nodes that
are heavily loaded with data. You can force
NDB
to create extra partitions
for MySQL Cluster tables and thus have more memory available
for hash indexes by using the MAX_ROWS
option for CREATE TABLE
. In
general, setting MAX_ROWS
to twice the
number of rows that you expect to store in the table should
be sufficient. You can also use the
MinFreePct
configuration parameter to help avoid problems with node
restarts. (Bug #13436216)
The memory space allocated by
DataMemory
consists
of 32KB pages, which are allocated to table fragments. Each
table is normally partitioned into the same number of
fragments as there are data nodes in the cluster. Thus, for
each node, there are the same number of fragments as are set
in NoOfReplicas
.
Once a page has been allocated, it is currently not possible
to return it to the pool of free pages, except by deleting
the table. (This also means that
DataMemory
pages,
once allocated to a given table, cannot be used by other
tables.) Performing a data node recovery also compresses the
partition because all records are inserted into empty
partitions from other live nodes.
The DataMemory
memory space also contains UNDO information: For each
update, a copy of the unaltered record is allocated in the
DataMemory
. There is
also a reference to each copy in the ordered table indexes.
Unique hash indexes are updated only when the unique index
columns are updated, in which case a new entry in the index
table is inserted and the old entry is deleted upon commit.
For this reason, it is also necessary to allocate enough
memory to handle the largest transactions performed by
applications using the cluster. In any case, performing a
few large transactions holds no advantage over using many
smaller ones, for the following reasons:
Large transactions are not any faster than smaller ones
Large transactions increase the number of operations that are lost and must be repeated in event of transaction failure
Large transactions use more memory
The default value for
DataMemory
is 80MB;
the minimum is 1MB. There is no maximum size, but in reality
the maximum size has to be adapted so that the process does
not start swapping when the limit is reached. This limit is
determined by the amount of physical RAM available on the
machine and by the amount of memory that the operating
system may commit to any one process. 32-bit operating
systems are generally limited to 2−4GB per process;
64-bit operating systems can use more. For large databases,
it may be preferable to use a 64-bit operating system for
this reason.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | bytes | 18M | 1M - 1T | N |
This parameter controls the amount of storage used for hash indexes in MySQL Cluster. Hash indexes are always used for primary key indexes, unique indexes, and unique constraints. When defining a primary key or a unique index, two indexes are created, one of which is a hash index used for all tuple accesses as well as lock handling. This index is also used to enforce unique constraints.
You can estimate the size of a hash index using this formula:
size = ( (fragments
* 32K) + (rows
* 18) ) *replicas
fragments
is the number of
fragments, replicas
is the number
of replicas (normally 2), and
rows
is the number of rows. If a
table has one million rows, 8 fragments, and 2 replicas, the
expected index memory usage is calculated as shown here:
((8 * 32K) + (1000000 * 18)) * 2 = ((8 * 32768) + (1000000 * 18)) * 2 = (262144 + 18000000) * 2 = 18262144 * 2 = 36524288 bytes = ~35MB
Index statistics for ordered indexes (when these are
enabled) are stored in the
mysql.ndb_index_stat_sample
table. Since
this table has a hash index, this adds to index memory
usage. An upper bound to the number of rows for a given
ordered index can be calculated as follows:
sample_size= key_size + ((key_attributes + 1) * 4) sample_rows =IndexStatSaveSize
* ((0.01 *IndexStatSaveScale
* log2(rows * sample_size)) + 1) / sample_size
In the preceding formula,
key_size
is the size of the
ordered index key in bytes,
key_attributes
is the number ot
attributes in the ordered index key, and
rows
is the number of rows in the
base table.
Assume that table t1
has 1 million rows
and an ordered index named ix1
on two
four-byte integers. Assume in addition that
IndexStatSaveSize
and
IndexStatSaveScale
are set to their default values (32K and 100, respectively).
Using the previous 2 formulas, we can calculate as follows:
sample_size = 8 + ((1 + 2) * 4) = 20 bytes sample_rows = 32K * ((0.01 * 100 * log2(1000000*20)) + 1) / 20 = 32768 * ( (1 * ~16.811) +1) / 20 = 32768 * ~17.811 / 20 = ~29182 rows
The expected index memory usage is thus 2 * 18 * 29182 = ~1050550 bytes.
The default value for
IndexMemory
is 18MB.
The minimum is 1MB.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | % or bytes | 25 | 0 - 4294967039 (0xFFFFFEFF) | S |
This parameter determines how much memory is allocated for
strings such as table names, and is specified in an
[ndbd]
or [ndbd
default]
section of the
config.ini
file. A value between
0
and 100
inclusive is
interpreted as a percent of the maximum default value, which
is calculated based on a number of factors including the
number of tables, maximum table name size, maximum size of
.FRM
files,
MaxNoOfTriggers
,
maximum column name size, and maximum default column value.
A value greater than 100
is interpreted
as a number of bytes.
The default value is 25—that is, 25 percent of the default maximum.
Under most circumstances, the default value should be
sufficient, but when you have a great many Cluster tables
(1000 or more), it is possible to get Error 773
Out of string memory, please modify StringMemory
config parameter: Permanent error: Schema error,
in which case you should increase this value.
25
(25 percent) is not excessive, and
should prevent this error from recurring in all but the most
extreme conditions.
The following example illustrates how memory is used for a table. Consider this table definition:
CREATE TABLE example ( a INT NOT NULL, b INT NOT NULL, c INT NOT NULL, PRIMARY KEY(a), UNIQUE(b) ) ENGINE=NDBCLUSTER;
For each record, there are 12 bytes of data plus 12 bytes
overhead. Having no nullable columns saves 4 bytes of overhead.
In addition, we have two ordered indexes on columns
a
and b
consuming roughly
10 bytes each per record. There is a primary key hash index on
the base table using roughly 29 bytes per record. The unique
constraint is implemented by a separate table with
b
as primary key and a
as
a column. This other table consumes an additional 29 bytes of
index memory per record in the example
table
as well 8 bytes of record data plus 12 bytes of overhead.
Thus, for one million records, we need 58MB for index memory to handle the hash indexes for the primary key and the unique constraint. We also need 64MB for the records of the base table and the unique index table, plus the two ordered index tables.
You can see that hash indexes takes up a fair amount of memory space; however, they provide very fast access to the data in return. They are also used in MySQL Cluster to handle uniqueness constraints.
Currently, the only partitioning algorithm is hashing and ordered indexes are local to each node. Thus, ordered indexes cannot be used to handle uniqueness constraints in the general case.
An important point for both
IndexMemory
and
DataMemory
is that the
total database size is the sum of all data memory and all index
memory for each node group. Each node group is used to store
replicated information, so if there are four nodes with two
replicas, there will be two node groups. Thus, the total data
memory available is 2 ×
DataMemory
for each data
node.
It is highly recommended that
DataMemory
and
IndexMemory
be set to
the same values for all nodes. Data distribution is even over
all nodes in the cluster, so the maximum amount of space
available for any node can be no greater than that of the
smallest node in the cluster.
DataMemory
and
IndexMemory
can be
changed, but decreasing either of these can be risky; doing so
can easily lead to a node or even an entire MySQL Cluster that
is unable to restart due to there being insufficient memory
space. Increasing these values should be acceptable, but it is
recommended that such upgrades are performed in the same manner
as a software upgrade, beginning with an update of the
configuration file, and then restarting the management server
followed by restarting each data node in turn.
MinFreePct.
A proportion (5% by default) of data node resources including
DataMemory
and
IndexMemory
is kept in
reserve to insure that the data node does not exhaust its
memory when performing a restart. This can be adjusted using
the MinFreePct
data
node configuration parameter (default 5).
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | unsigned | 5 | 0 - 100 | N |
Updates do not increase the amount of index memory used. Inserts take effect immediately; however, rows are not actually deleted until the transaction is committed.
Transaction parameters.
The next few [ndbd]
parameters that we
discuss are important because they affect the number of
parallel transactions and the sizes of transactions that can
be handled by the system.
MaxNoOfConcurrentTransactions
sets the number of parallel transactions possible in a node.
MaxNoOfConcurrentOperations
sets the number of records that can be in update phase or
locked simultaneously.
Both of these parameters (especially
MaxNoOfConcurrentOperations
)
are likely targets for users setting specific values and not
using the default value. The default value is set for systems
using small transactions, to ensure that these do not use
excessive memory.
MaxDMLOperationsPerTransaction
sets the maximum number of DML operations that can be performed
in a given transaction.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | integer | 4096 | 32 - 4294967039 (0xFFFFFEFF) | N |
Each cluster data node requires a transaction record for each active transaction in the cluster. The task of coordinating transactions is distributed among all of the data nodes. The total number of transaction records in the cluster is the number of transactions in any given node times the number of nodes in the cluster.
Transaction records are allocated to individual MySQL servers. Each connection to a MySQL server requires at least one transaction record, plus an additional transaction object per table accessed by that connection. This means that a reasonable minimum for the total number of transactions in the cluster can be expressed as
MinTotalNoOfConcurrentTransactions = (maximum number of tables accessed in any single transaction + 1) * number of SQL nodes
Suppose that there are 10 SQL nodes using the cluster. A
single join involving 10 tables requires 11 transaction
records; if there are 10 such joins in a transaction, then
10 * 11 = 110 transaction records are required for this
transaction, per MySQL server, or 110 * 10 = 1100
transaction records total. Each data node can be expected to
handle MinTotalNoOfConcurrentTransactions / number of data
nodes. For a MySQL Cluster having 4 data nodes, this would
mean setting
MaxNoOfConcurrentTransactions
on each
data node to 1100 / 4 = 275. In addition, you should provide
for failure recovery by ensuring that a single node group
can accommodate all concurrent transactions; in other words,
that each data node's MaxNoOfConcurrentTransactions is
sufficient to cover a number of transactions equal to
MinTotalNoOfConcurrentTransactions / number of node groups.
If this cluster has a single node group, then
MaxNoOfConcurrentTransactions
should be
set to 1100 (the same as the total number of concurrent
transactions for the entire cluster).
In addition, each transaction involves at least one
operation; for this reason, the value set for
MaxNoOfConcurrentTransactions
should
always be no more than the value of
MaxNoOfConcurrentOperations
.
This parameter must be set to the same value for all cluster data nodes. This is due to the fact that, when a data node fails, the oldest surviving node re-creates the transaction state of all transactions that were ongoing in the failed node.
It is possible to change this value using a rolling restart, but the amount of traffic on the cluster must be such that no more transactions occur than the lower of the old and new levels while this is taking place.
The default value is 4096.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | integer | 32K | 32 - 4294967039 (0xFFFFFEFF) | N |
It is a good idea to adjust the value of this parameter according to the size and number of transactions. When performing transactions which involve only a few operations and records, the default value for this parameter is usually sufficient. Performing large transactions involving many records usually requires that you increase its value.
Records are kept for each transaction updating cluster data, both in the transaction coordinator and in the nodes where the actual updates are performed. These records contain state information needed to find UNDO records for rollback, lock queues, and other purposes.
This parameter should be set at a minimum to the number of
records to be updated simultaneously in transactions,
divided by the number of cluster data nodes. For example, in
a cluster which has four data nodes and which is expected to
handle one million concurrent updates using transactions,
you should set this value to 1000000 / 4 = 250000. To help
provide resiliency against failures, it is suggested that
you set this parameter to a value that is high enough to
permit an individual data node to handle the load for its
node group. In other words, you should set the value equal
to total number of concurrent operations / number
of node groups
. (In the case where there is a
single node group, this is the same as the total number of
concurrent operations for the entire cluster.)
Because each transaction always involves at least one
operation, the value of
MaxNoOfConcurrentOperations
should always
be greater than or equal to the value of
MaxNoOfConcurrentTransactions
.
Read queries which set locks also cause operation records to be created. Some extra space is allocated within individual nodes to accommodate cases where the distribution is not perfect over the nodes.
When queries make use of the unique hash index, there are actually two operation records used per record in the transaction. The first record represents the read in the index table and the second handles the operation on the base table.
The default value is 32768.
This parameter actually handles two values that can be configured separately. The first of these specifies how many operation records are to be placed with the transaction coordinator. The second part specifies how many operation records are to be local to the database.
A very large transaction performed on an eight-node cluster
requires as many operation records in the transaction
coordinator as there are reads, updates, and deletes
involved in the transaction. However, the operation records
of the are spread over all eight nodes. Thus, if it is
necessary to configure the system for one very large
transaction, it is a good idea to configure the two parts
separately.
MaxNoOfConcurrentOperations
will always be used to calculate the number of operation
records in the transaction coordinator portion of the node.
It is also important to have an idea of the memory requirements for operation records. These consume about 1KB per record.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | integer | UNDEFINED | 32 - 4294967039 (0xFFFFFEFF) | N |
By default, this parameter is calculated as 1.1 ×
MaxNoOfConcurrentOperations
.
This fits systems with many simultaneous transactions, none
of them being very large. If there is a need to handle one
very large transaction at a time and there are many nodes,
it is a good idea to override the default value by
explicitly specifying this parameter.
MaxDMLOperationsPerTransaction
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | operations (DML) | 4294967295 | 32 - 4294967295 | N |
This parameter limits the size of a transaction. The
transaction is aborted if it requires more than this many
DML operations. The minimum number of operations per
transaction is 32; however, you can set
MaxDMLOperationsPerTransaction
to 0 to
disable any limitation on the number of DML operations per
transaction. The maximum (and default) is 4294967295.
Transaction temporary storage.
The next set of [ndbd]
parameters is used
to determine temporary storage when executing a statement that
is part of a Cluster transaction. All records are released
when the statement is completed and the cluster is waiting for
the commit or rollback.
The default values for these parameters are adequate for most situations. However, users with a need to support transactions involving large numbers of rows or operations may need to increase these values to enable better parallelism in the system, whereas users whose applications require relatively small transactions can decrease the values to save memory.
MaxNoOfConcurrentIndexOperations
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | integer | 8K | 0 - 4294967039 (0xFFFFFEFF) | N |
For queries using a unique hash index, another temporary set
of operation records is used during a query's execution
phase. This parameter sets the size of that pool of records.
Thus, this record is allocated only while executing a part
of a query. As soon as this part has been executed, the
record is released. The state needed to handle aborts and
commits is handled by the normal operation records, where
the pool size is set by the parameter
MaxNoOfConcurrentOperations
.
The default value of this parameter is 8192. Only in rare cases of extremely high parallelism using unique hash indexes should it be necessary to increase this value. Using a smaller value is possible and can save memory if the DBA is certain that a high degree of parallelism is not required for the cluster.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | integer | 4000 | 0 - 4294967039 (0xFFFFFEFF) | N |
The default value of
MaxNoOfFiredTriggers
is 4000, which is sufficient for most situations. In some
cases it can even be decreased if the DBA feels certain the
need for parallelism in the cluster is not high.
A record is created when an operation is performed that affects a unique hash index. Inserting or deleting a record in a table with unique hash indexes or updating a column that is part of a unique hash index fires an insert or a delete in the index table. The resulting record is used to represent this index table operation while waiting for the original operation that fired it to complete. This operation is short-lived but can still require a large number of records in its pool for situations with many parallel write operations on a base table containing a set of unique hash indexes.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | bytes | 1M | 1K - 4294967039 (0xFFFFFEFF) | N |
The memory affected by this parameter is used for tracking operations fired when updating index tables and reading unique indexes. This memory is used to store the key and column information for these operations. It is only very rarely that the value for this parameter needs to be altered from the default.
The default value for
TransactionBufferMemory
is 1MB.
Normal read and write operations use a similar buffer, whose
usage is even more short-lived. The compile-time parameter
ZATTRBUF_FILESIZE
(found in
ndb/src/kernel/blocks/Dbtc/Dbtc.hpp
)
set to 4000 × 128 bytes (500KB). A similar buffer for
key information, ZDATABUF_FILESIZE
(also
in Dbtc.hpp
) contains 4000 × 16 =
62.5KB of buffer space. Dbtc
is the
module that handles transaction coordination.
Scans and buffering.
There are additional [ndbd]
parameters in
the Dblqh
module (in
ndb/src/kernel/blocks/Dblqh/Dblqh.hpp
)
that affect reads and updates. These include
ZATTRINBUF_FILESIZE
, set by default to
10000 × 128 bytes (1250KB) and
ZDATABUF_FILE_SIZE
, set by default to
10000*16 bytes (roughly 156KB) of buffer space. To date, there
have been neither any reports from users nor any results from
our own extensive tests suggesting that either of these
compile-time limits should be increased.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | integer | 256 | 2 - 500 | N |
This parameter is used to control the number of parallel
scans that can be performed in the cluster. Each transaction
coordinator can handle the number of parallel scans defined
for this parameter. Each scan query is performed by scanning
all partitions in parallel. Each partition scan uses a scan
record in the node where the partition is located, the
number of records being the value of this parameter times
the number of nodes. The cluster should be able to sustain
MaxNoOfConcurrentScans
scans concurrently from all nodes in the cluster.
Scans are actually performed in two cases. The first of these cases occurs when no hash or ordered indexes exists to handle the query, in which case the query is executed by performing a full table scan. The second case is encountered when there is no hash index to support the query but there is an ordered index. Using the ordered index means executing a parallel range scan. The order is kept on the local partitions only, so it is necessary to perform the index scan on all partitions.
The default value of
MaxNoOfConcurrentScans
is 256. The maximum value is 500.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | integer | [see text] | 32 - 4294967039 (0xFFFFFEFF) | N |
Specifies the number of local scan records if many scans are not fully parallelized. When the number of local scan records is not provided, it is calculated as shown here:
4 * MaxNoOfConcurrentScans
* [# data nodes] + 2
The minimum value is 32.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | integer | 256 | 1 - 992 | N |
This parameter is used to calculate the number of lock records used to handle concurrent scan operations.
BatchSizePerLocalScan
has a strong
connection to the
BatchSize
defined in
the SQL nodes.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | bytes | 64M | 512K - 4294967039 (0xFFFFFEFF) | N |
This is an internal buffer used for passing messages within individual nodes and between nodes. The default is 64MB.
This parameter seldom needs to be changed from the default.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | integer | 0 | 0 - 64 | S |
This parameter sets the parallelization used in the copy
phase of a node restart or system restart, when a node that
is currently just starting is synchronised with a node that
already has current data by copying over any changed records
from the node that is up to date. Because full parallelism
in such cases can lead to overload situations,
MaxParallelCopyInstances
provides a means
to decrease it. This parameter's default value 0. This
value means that the effective parallelism is equal to the
number of LDM instances in the node just starting as well as
the node updating it.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | bytes | 256 | 1 - 4294967039 (0xFFFFFEFF) | N |
It is possible to configure the maximum number of parallel
scans (TUP
scans and
TUX
scans) allowed before they begin
queuing for serial handling. You can increase this to take
advantage of any unused CPU when performing large number of
scans in parallel and improve their performance.
The default value for this parameter is 256.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | unsigned | 32M | 1M - 1G | N |
This is the maximum size of the memory unit to use when
allocating memory for tables. In cases where
NDB
gives Out of
memory errors, but it is evident by examining the
cluster logs or the output of DUMP 1000
(see
DUMP 1000) that all
available memory has not yet been used, you can increase the
value of this parameter (or
MaxNoOfTables
, or both)
to cause NDB
to make sufficient
memory available.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | LDM threads | 3840 | 0 - 3840 | N |
The size of the table hash maps used by
NDB
is configurable using this
parameter. DefaultHashMapSize
can take any of
three possible values (0, 240, 3840). These values and their
effects are described in the following table:
Value | Description / Effect |
---|---|
0 | Use the lowest value set, if any, for this parameter among all data nodes and API nodes in the cluster; if it is not set on any data or API node, use the default value. |
240 | Original hash map size (used by default in all MySQL Cluster releases prior to NDB 7.2.7) |
3840 | Larger hash map size (used by default beginning with NDB 7.2.7) |
The original intended use for this parameter was to facilitate upgrades and especially downgrades to and from very old releases with differing default hash map sizes. This is not an issue when upgrading from MySQL Cluster NDB 7.4 to MySQL Cluster NDB 7.5.
Logging and checkpointing.
The following [ndbd]
parameters control log
and checkpoint behavior.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | integer | 16 | 3 - 4294967039 (0xFFFFFEFF) | IN |
This parameter sets the number of REDO log files for the node, and thus the amount of space allocated to REDO logging. Because the REDO log files are organized in a ring, it is extremely important that the first and last log files in the set (sometimes referred to as the “head” and “tail” log files, respectively) do not meet. When these approach one another too closely, the node begins aborting all transactions encompassing updates due to a lack of room for new log records.
A REDO
log record is not removed until
both required local checkpoints have been completed since
that log record was inserted. Checkpointing frequency is
determined by its own set of configuration parameters
discussed elsewhere in this chapter.
The default parameter value is 16, which by default means 16
sets of 4 16MB files for a total of 1024MB. The size of the
individual log files is configurable using the
FragmentLogFileSize
parameter. In scenarios requiring a great many updates, the
value for
NoOfFragmentLogFiles
may need to be set as high as 300 or even higher to provide
sufficient space for REDO logs.
If the checkpointing is slow and there are so many writes to
the database that the log files are full and the log tail
cannot be cut without jeopardizing recovery, all updating
transactions are aborted with internal error code 410
(Out of log file space temporarily
). This
condition prevails until a checkpoint has completed and the
log tail can be moved forward.
This parameter cannot be changed “on the
fly”; you must restart the node using
--initial
. If you wish to change this
value for all data nodes in a running cluster, you can do
so using a rolling node restart (using
--initial
when starting each data node).
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | bytes | 16M | 4M - 1G | IN |
Setting this parameter enables you to control directly the size of redo log files. This can be useful in situations when MySQL Cluster is operating under a high load and it is unable to close fragment log files quickly enough before attempting to open new ones (only 2 fragment log files can be open at one time); increasing the size of the fragment log files gives the cluster more time before having to open each new fragment log file. The default value for this parameter is 16M.
For more information about fragment log files, see the
description for
NoOfFragmentLogFiles
.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | [see values] | SPARSE | SPARSE, FULL | IN |
By default, fragment log files are created sparsely when
performing an initial start of a data node—that is,
depending on the operating system and file system in use,
not all bytes are necessarily written to disk. However, it
is possible to override this behavior and force all bytes to
be written, regardless of the platform and file system type
being used, by means of this parameter.
InitFragmentLogFiles
takes either of two values:
SPARSE
. Fragment log files are
created sparsely. This is the default value.
FULL
. Force all bytes of the fragment
log file to be written to disk.
Depending on your operating system and file system, setting
InitFragmentLogFiles=FULL
may help
eliminate I/O errors on writes to the REDO log.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | unsigned | 0 | 20 - 4294967039 (0xFFFFFEFF) | N |
This parameter sets a ceiling on how many internal threads to allocate for open files. Any situation requiring a change in this parameter should be reported as a bug.
The default value is 0. However, the minimum value to which this parameter can be set is 20.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | files | 27 | 20 - 4294967039 (0xFFFFFEFF) | N |
This parameter sets the initial number of internal threads to allocate for open files.
The default value is 27.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | integer | 25 | 0 - 4294967039 (0xFFFFFEFF) | N |
This parameter sets the maximum number of trace files that are kept before overwriting old ones. Trace files are generated when, for whatever reason, the node crashes.
The default is 25 trace files.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | seconds | 0 | 0 - 600 | N |
In parallel data node recovery, only table data is actually copied and synchronized in parallel; synchronization of metadata such as dictionary and checkpoint information is done in a serial fashion. In addition, recovery of dictionary and checkpoint information cannot be executed in parallel with performing of local checkpoints. This means that, when starting or restarting many data nodes concurrently, data nodes may be forced to wait while a local checkpoint is performed, which can result in longer node recovery times.
It is possible to force a delay in the local checkpoint to
permit more (and possibly all) data nodes to complete
metadata synchronization; once each data node's
metadata synchronization is complete, all of the data nodes
can recover table data in parallel, even while the local
checkpoint is being executed. To force such a delay, set
MaxLCPStartDelay
,
which determines the number of seconds the cluster can wait
to begin a local checkpoint while data nodes continue to
synchronize metadata. This parameter should be set in the
[ndbd default]
section of the
config.ini
file, so that it is the same
for all data nodes. The maximum value is 600; the default is
0.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | second | 60 | 0 - 4294967039 (0xFFFFFEFF) | N |
A local checkpoint fragment scan watchdog checks
periodically for no progress in each fragment scan performed
as part of a local checkpoint, and shuts down the node if
there is no progress after a given amount of time has
elapsed. This interval can be set using the
LcpScanProgressTimeout
data node configuration parameter, which sets the maximum
time for which the local checkpoint can be stalled before
the LCP fragment scan watchdog shuts down the node.
The default value is 60 seconds (providing compatibility with previous releases). Setting this parameter to 0 disables the LCP fragment scan watchdog altogether.
Metadata objects.
The next set of [ndbd]
parameters defines
pool sizes for metadata objects, used to define the maximum
number of attributes, tables, indexes, and trigger objects
used by indexes, events, and replication between clusters.
These act merely as “suggestions” to the cluster, and any that are not specified revert to the default values shown.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | integer | 1000 | 32 - 4294967039 (0xFFFFFEFF) | N |
This parameter sets a suggested maximum number of attributes
that can be defined in the cluster; like
MaxNoOfTables
, it is
not intended to function as a hard upper limit.
(In older MySQL Cluster releases, this parameter was
sometimes treated as a hard limit for certain operations.
This caused problems with MySQL Cluster Replication, when it
was possible to create more tables than could be replicated,
and sometimes led to confusion when it was possible [or not
possible, depending on the circumstances] to create more
than MaxNoOfAttributes
attributes.)
The default value is 1000, with the minimum possible value being 32. The maximum is 4294967039. Each attribute consumes around 200 bytes of storage per node due to the fact that all metadata is fully replicated on the servers.
When setting
MaxNoOfAttributes
,
it is important to prepare in advance for any
ALTER TABLE
statements that
you might want to perform in the future. This is due to the
fact, during the execution of ALTER
TABLE
on a Cluster table, 3 times the number of
attributes as in the original table are used, and a good
practice is to permit double this amount. For example, if
the MySQL Cluster table having the greatest number of
attributes
(greatest_number_of_attributes
)
has 100 attributes, a good starting point for the value of
MaxNoOfAttributes
would be 6 *
.
greatest_number_of_attributes
=
600
You should also estimate the average number of attributes
per table and multiply this by
MaxNoOfTables
. If
this value is larger than the value obtained in the previous
paragraph, you should use the larger value instead.
Assuming that you can create all desired tables without any
problems, you should also verify that this number is
sufficient by trying an actual ALTER
TABLE
after configuring the parameter. If this is
not successful, increase
MaxNoOfAttributes
by
another multiple of
MaxNoOfTables
and
test it again.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | integer | 128 | 8 - 20320 | N |
A table object is allocated for each table and for each
unique hash index in the cluster. This parameter sets a
suggested maximum number of table objects for the cluster as
a whole; like
MaxNoOfAttributes
,
it is not intended to function as a hard upper limit.
(In older MySQL Cluster releases, this parameter was
sometimes treated as a hard limit for certain operations.
This caused problems with MySQL Cluster Replication, when it
was possible to create more tables than could be replicated,
and sometimes led to confusion when it was possible [or not
possible, depending on the circumstances] to create more
than MaxNoOfTables
tables.)
For each attribute that has a
BLOB
data type an extra table
is used to store most of the
BLOB
data. These tables also
must be taken into account when defining the total number of
tables.
The default value of this parameter is 128. The minimum is 8 and the maximum is 20320. Each table object consumes approximately 20KB per node.
The sum of
MaxNoOfTables
and
MaxNoOfOrderedIndexes
must not exceed 232
− 2
(4294967294).
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | integer | 128 | 0 - 4294967039 (0xFFFFFEFF) | N |
For each ordered index in the cluster, an object is
allocated describing what is being indexed and its storage
segments. By default, each index so defined also defines an
ordered index. Each unique index and primary key has both an
ordered index and a hash index.
MaxNoOfOrderedIndexes
sets the total number of ordered indexes that can be in use
in the system at any one time.
The default value of this parameter is 128. Each index object consumes approximately 10KB of data per node.
The sum of
MaxNoOfTables
and
MaxNoOfOrderedIndexes
must not exceed 232
− 2
(4294967294).
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | integer | 768 | 0 - 4294967039 (0xFFFFFEFF) | N |
Internal update, insert, and delete triggers are allocated for each unique hash index. (This means that three triggers are created for each unique hash index.) However, an ordered index requires only a single trigger object. Backups also use three trigger objects for each normal table in the cluster.
Replication between clusters also makes use of internal triggers.
This parameter sets the maximum number of trigger objects in the cluster.
The default value is 768.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | unsigned | 0 | 0 - 4294967039 (0xFFFFFEFF) | N |
Each NDB
table in a MySQL
Cluster requires a subscription in the NDB kernel. For some
NDB API applications, it may be necessary or desirable to
change this parameter. However, for normal usage with MySQL
servers acting as SQL nodes, there is not any need to do so.
The default value for
MaxNoOfSubscriptions
is 0, which is treated as equal to
MaxNoOfTables
. Each
subscription consumes 108 bytes.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | unsigned | 0 | 0 - 4294967039 (0xFFFFFEFF) | N |
This parameter is of interest only when using MySQL Cluster
Replication. The default value is 0, which is treated as
2 * MaxNoOfTables
; that is, there is one
subscription per NDB
table for
each of two MySQL servers (one acting as the replication
master and the other as the slave). Each subscriber uses 16
bytes of memory.
When using circular replication, multi-master replication,
and other replication setups involving more than 2 MySQL
servers, you should increase this parameter to the number of
mysqld processes included in replication
(this is often, but not always, the same as the number of
clusters). For example, if you have a circular replication
setup using three MySQL Clusters, with one
mysqld attached to each cluster, and each
of these mysqld processes acts as a
master and as a slave, you should set
MaxNoOfSubscribers
equal to 3 * MaxNoOfTables
.
For more information, see Section 18.6, “MySQL Cluster Replication”.
MaxNoOfConcurrentSubOperations
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | unsigned | 256 | 0 - 4294967039 (0xFFFFFEFF) | N |
This parameter sets a ceiling on the number of operations that can be performed by all API nodes in the cluster at one time. The default value (256) is sufficient for normal operations, and might need to be adjusted only in scenarios where there are a great many API nodes each performing a high volume of operations concurrently.
Boolean parameters.
The behavior of data nodes is also affected by a set of
[ndbd]
parameters taking on boolean values.
These parameters can each be specified as
TRUE
by setting them equal to
1
or Y
, and as
FALSE
by setting them equal to
0
or N
.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | numeric | 1 | 0 - 1 | N |
Allocate memory for this data node after a connection to the management server has been established. Enabled by default.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | numeric | 0 | 0 - 2 | N |
For a number of operating systems, including Solaris and Linux, it is possible to lock a process into memory and so avoid any swapping to disk. This can be used to help guarantee the cluster's real-time characteristics.
This parameter takes one of the integer values
0
, 1
, or
2
, which act as shown in the following
list:
0
: Disables locking. This is the
default value.
1
: Performs the lock after allocating
memory for the process.
2
: Performs the lock before memory
for the process is allocated.
If the operating system is not configured to permit
unprivileged users to lock pages, then the data node process
making use of this parameter may have to be run as system
root.
(LockPagesInMainMemory
uses the mlockall
function. From Linux
kernel 2.6.9, unprivileged users can lock memory as limited
by max locked memory
. For more
information, see ulimit -l and
http://linux.die.net/man/2/mlock).
In older MySQL Cluster releases, this parameter was a
Boolean. 0
or false
was the default setting, and disabled locking.
1
or true
enabled
locking of the process after its memory was allocated.
MySQL Cluster NDB 7.5 treats true
or
false
for the value of this parameter
as an error.
Beginning with glibc
2.10,
glibc
uses per-thread arenas to reduce
lock contention on a shared pool, which consumes real
memory. In general, a data node process does not need
per-thread arenas, since it does not perform any memory
allocation after startup. (This difference in allocators
does not appear to affect performance significantly.)
The glibc
behavior is intended to be
configurable via the MALLOC_ARENA_MAX
environment variable, but a bug in this mechanism prior to
glibc
2.16 meant that this variable
could not be set to less than 8, so that the wasted memory
could not be reclaimed. (Bug #15907219; see also
http://sourceware.org/bugzilla/show_bug.cgi?id=13137
for more information concerning this issue.)
One possible workaround for this problem is to use the
LD_PRELOAD
environment variable to
preload a jemalloc
memory allocation
library to take the place of that supplied with
glibc
.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | boolean | 1 | 0, 1 | N |
This parameter specifies whether a data node process should exit or perform an automatic restart when an error condition is encountered.
This parameter's default value is 1
;
this means that, by default, an error causes the data node
process to halt.
Users of MySQL Cluster Manager should note that, when
StopOnError
equals 1, this prevents the
MySQL Cluster Manager agent from restarting any data nodes after it has
performed its own restart and recovery. See
Starting and Stopping the Agent on Linux, for more
information.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | boolean | true | true, false | S |
When this parameter is enabled, it forces a data node to shut down whenever it encounters a corrupted tuple. In MySQL Cluster NDB 7.5, it is enabled by default.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | true|false (1|0) | false | true, false | IS |
It is possible to specify MySQL Cluster tables as diskless, meaning that tables are not checkpointed to disk and that no logging occurs. Such tables exist only in main memory. A consequence of using diskless tables is that neither the tables nor the records in those tables survive a crash. However, when operating in diskless mode, it is possible to run ndbd on a diskless computer.
This feature causes the entire cluster to operate in diskless mode.
When this feature is enabled, Cluster online backup is disabled. In addition, a partial start of the cluster is not possible.
Diskless
is disabled
by default.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | boolean | false | true, false | N |
Enabling this parameter causes
NDB
to attempt using
O_DIRECT
writes for LCP, backups, and
redo logs, often lowering kswapd and CPU
usage. When using MySQL Cluster on Linux, enable
ODirect
if you are
using a 2.6 or later kernel.
ODirect
is disabled
by default.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | error code | 2 | 0 - 4 | N |
This feature is accessible only when building the debug version where it is possible to insert errors in the execution of individual blocks of code as part of testing.
This feature is disabled by default.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | boolean | false | true, false | N |
Setting this parameter to 1
causes backup
files to be compressed. The compression used is equivalent
to gzip --fast, and can save 50% or more
of the space required on the data node to store uncompressed
backup files. Compressed backups can be enabled for
individual data nodes, or for all data nodes (by setting
this parameter in the [ndbd default]
section of the config.ini
file).
You cannot restore a compressed backup to a cluster running a MySQL version that does not support this feature.
The default value is 0
(disabled).
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | boolean | false | true, false | N |
Setting this parameter to 1
causes local
checkpoint files to be compressed. The compression used is
equivalent to gzip --fast, and can save
50% or more of the space required on the data node to store
uncompressed checkpoint files. Compressed LCPs can be
enabled for individual data nodes, or for all data nodes (by
setting this parameter in the [ndbd
default]
section of the
config.ini
file).
You cannot restore a compressed local checkpoint to a cluster running a MySQL version that does not support this feature.
The default value is 0
(disabled).
There are a number of [ndbd]
parameters
specifying timeouts and intervals between various actions in
Cluster data nodes. Most of the timeout values are specified in
milliseconds. Any exceptions to this are mentioned where
applicable.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | milliseconds | 6000 | 70 - 4294967039 (0xFFFFFEFF) | N |
To prevent the main thread from getting stuck in an endless loop at some point, a “watchdog” thread checks the main thread. This parameter specifies the number of milliseconds between checks. If the process remains in the same state after three checks, the watchdog thread terminates it.
This parameter can easily be changed for purposes of experimentation or to adapt to local conditions. It can be specified on a per-node basis although there seems to be little reason for doing so.
The default timeout is 6000 milliseconds (6 seconds).
TimeBetweenWatchDogCheckInitial
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | milliseconds | 6000 | 70 - 4294967039 (0xFFFFFEFF) | N |
This is similar to the
TimeBetweenWatchDogCheck
parameter, except that
TimeBetweenWatchDogCheckInitial
controls the amount of time that passes between execution
checks inside a database node in the early start phases
during which memory is allocated.
The default timeout is 6000 milliseconds (6 seconds).
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | milliseconds | 30000 | 0 - 4294967039 (0xFFFFFEFF) | N |
This parameter specifies how long the Cluster waits for all data nodes to come up before the cluster initialization routine is invoked. This timeout is used to avoid a partial Cluster startup whenever possible.
This parameter is overridden when performing an initial start or initial restart of the cluster.
The default value is 30000 milliseconds (30 seconds). 0 disables the timeout, in which case the cluster may start only if all nodes are available.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | milliseconds | 60000 | 0 - 4294967039 (0xFFFFFEFF) | N |
If the cluster is ready to start after waiting for
StartPartialTimeout
milliseconds but is still possibly in a partitioned state,
the cluster waits until this timeout has also passed. If
StartPartitionedTimeout
is set to 0, the cluster waits indefinitely.
This parameter is overridden when performing an initial start or initial restart of the cluster.
The default timeout is 60000 milliseconds (60 seconds).
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | milliseconds | 0 | 0 - 4294967039 (0xFFFFFEFF) | N |
If a data node has not completed its startup sequence within the time specified by this parameter, the node startup fails. Setting this parameter to 0 (the default value) means that no data node timeout is applied.
For nonzero values, this parameter is measured in milliseconds. For data nodes containing extremely large amounts of data, this parameter should be increased. For example, in the case of a data node containing several gigabytes of data, a period as long as 10−15 minutes (that is, 600000 to 1000000 milliseconds) might be required to perform a node restart.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | milliseconds | 15000 | 0 - 4294967039 (0xFFFFFEFF) | N |
When a data node is configured with
Nodegroup = 65536
,
is regarded as not being assigned to any node group. When
that is done, the cluster waits
StartNoNodegroupTimeout
milliseconds,
then treats such nodes as though they had been added to the
list passed to the
--nowait-nodes
option, and
starts. The default value is 15000
(that
is, the management server waits 15 seconds). Setting this
parameter equal to 0
means that the
cluster waits indefinitely.
StartNoNodegroupTimeout
must be the same
for all data nodes in the cluster; for this reason, you
should always set it in the [ndbd
default]
section of the
config.ini
file, rather than for
individual data nodes.
See Section 18.5.14, “Adding MySQL Cluster Data Nodes Online”, for more information.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | milliseconds | 5000 | 10 - 4294967039 (0xFFFFFEFF) | N |
One of the primary methods of discovering failed nodes is by the use of heartbeats. This parameter states how often heartbeat signals are sent and how often to expect to receive them. After missing three heartbeat intervals in a row, the node is declared dead. Thus, the maximum time for discovering a failure through the heartbeat mechanism is four times the heartbeat interval.
The default heartbeat interval is 5000 milliseconds (5 seconds). This parameter must not be changed drastically and should not vary widely between nodes. If one node uses 5000 milliseconds and the node watching it uses 1000 milliseconds, obviously the node will be declared dead very quickly. This parameter can be changed during an online software upgrade, but only in small increments.
See also Network communication and latency.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | milliseconds | 1500 | 100 - 4294967039 (0xFFFFFEFF) | N |
Each data node sends heartbeat signals to each MySQL server
(SQL node) to ensure that it remains in contact. If a MySQL
server fails to send a heartbeat in time it is declared
“dead,” in which case all ongoing transactions
are completed and all resources released. The SQL node
cannot reconnect until all activities initiated by the
previous MySQL instance have been completed. The
three-heartbeat criteria for this determination are the same
as described for
HeartbeatIntervalDbDb
.
The default interval is 1500 milliseconds (1.5 seconds). This interval can vary between individual data nodes because each data node watches the MySQL servers connected to it, independently of all other data nodes.
For more information, see Network communication and latency.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | numeric | 0 | 0 - 65535 | S |
Data nodes send heartbeats to one another in a circular fashion whereby each data node monitors the previous one. If a heartbeat is not detected by a given data node, this node declares the previous data node in the circle “dead” (that is, no longer accessible by the cluster). The determination that a data node is dead is done globally; in other words; once a data node is declared dead, it is regarded as such by all nodes in the cluster.
It is possible for heartbeats between data nodes residing on different hosts to be too slow compared to heartbeats between other pairs of nodes (for example, due to a very low heartbeat interval or temporary connection problem), such that a data node is declared dead, even though the node can still function as part of the cluster. .
In this type of situation, it may be that the order in which heartbeats are transmitted between data nodes makes a difference as to whether or not a particular data node is declared dead. If this declaration occurs unnecessarily, this can in turn lead to the unnecessary loss of a node group and as thus to a failure of the cluster.
Consider a setup where there are 4 data nodes A, B, C, and D
running on 2 host computers host1
and
host2
, and that these data nodes make up
2 node groups, as shown in the following table:
Node Group |
Nodes Running on | Nodes Running on host2 |
---|---|---|
Node Group 0: | Node A | Node B |
Node Group 1: | Node C | Node D |
Suppose the heartbeats are transmitted in the order A->B->C->D->A. In this case, the loss of the heartbeat between the hosts causes node B to declare node A dead and node C to declare node B dead. This results in loss of Node Group 0, and so the cluster fails. On the other hand, if the order of transmission is A->B->D->C->A (and all other conditions remain as previously stated), the loss of the heartbeat causes nodes A and D to be declared dead; in this case, each node group has one surviving node, and the cluster survives.
The HeartbeatOrder
configuration parameter makes the order of heartbeat
transmission user-configurable. The default value for
HeartbeatOrder
is
zero; allowing the default value to be used on all data
nodes causes the order of heartbeat transmission to be
determined by NDB
. If this parameter is
used, it must be set to a nonzero value (maximum 65535) for
every data node in the cluster, and this value must be
unique for each data node; this causes the heartbeat
transmission to proceed from data node to data node in the
order of their
HeartbeatOrder
values from lowest to highest (and then directly from the
data node having the highest
HeartbeatOrder
to
the data node having the lowest value, to complete the
circle). The values need not be consecutive; for example, to
force the heartbeat transmission order
A->B->D->C->A in the scenario outlined
previously, you could set the
HeartbeatOrder
values as shown here:
Node | HeartbeatOrder |
---|---|
A | 10 |
B | 20 |
C | 30 |
D | 25 |
To use this parameter to change the heartbeat transmission
order in a running MySQL Cluster, you must first set
HeartbeatOrder
for
each data node in the cluster in the global configuration
(config.ini
) file (or files). To cause
the change to take effect, you must perform either of the
following:
A complete shutdown and restart of the entire cluster.
2 rolling restarts of the cluster in succession. All nodes must be restarted in the same order in both rolling restarts.
You can use DUMP 908
to observe the
effect of this parameter in the data node logs.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | milliseconds | 0 | 0 - 4294967039 (0xFFFFFEFF) | N |
This parameter enables connection checking between data
nodes. A data node that fails to respond within an interval
of ConnectCheckIntervalDelay
milliseconds
is considered suspect, and is considered dead after two such
intervals.
The default value for this parameter is 0.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | number of 4-byte words, as a base-2 logarithm | 20 | 0 - 31 | N |
This parameter is an exception in that it does not specify a time to wait before starting a new local checkpoint; rather, it is used to ensure that local checkpoints are not performed in a cluster where relatively few updates are taking place. In most clusters with high update rates, it is likely that a new local checkpoint is started immediately after the previous one has been completed.
The size of all write operations executed since the start of the previous local checkpoints is added. This parameter is also exceptional in that it is specified as the base-2 logarithm of the number of 4-byte words, so that the default value 20 means 4MB (4 × 220) of write operations, 21 would mean 8MB, and so on up to a maximum value of 31, which equates to 8GB of write operations.
All the write operations in the cluster are added together.
Setting
TimeBetweenLocalCheckpoints
to 6 or less means that local checkpoints will be executed
continuously without pause, independent of the cluster's
workload.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | milliseconds | 2000 | 20 - 32000 | N |
When a transaction is committed, it is committed in main memory in all nodes on which the data is mirrored. However, transaction log records are not flushed to disk as part of the commit. The reasoning behind this behavior is that having the transaction safely committed on at least two autonomous host machines should meet reasonable standards for durability.
It is also important to ensure that even the worst of cases—a complete crash of the cluster—is handled properly. To guarantee that this happens, all transactions taking place within a given interval are put into a global checkpoint, which can be thought of as a set of committed transactions that has been flushed to disk. In other words, as part of the commit process, a transaction is placed in a global checkpoint group. Later, this group's log records are flushed to disk, and then the entire group of transactions is safely committed to disk on all computers in the cluster.
This parameter defines the interval between global checkpoints. The default is 2000 milliseconds.
TimeBetweenGlobalCheckpointsTimeout
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | milliseconds | 120000 | 10 - 4294967039 (0xFFFFFEFF) | N |
This parameter defines the minimum timeout between global checkpoints. The default is 120000 milliseconds.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | milliseconds | 100 | 0 - 32000 | N |
This parameter defines the interval between synchronization epochs for MySQL Cluster Replication. The default value is 100 milliseconds.
TimeBetweenEpochs
is
part of the implementation of “micro-GCPs”,
which can be used to improve the performance of MySQL
Cluster Replication.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | milliseconds | 0 | 0 - 256000 | N |
This parameter defines a timeout for synchronization epochs for MySQL Cluster Replication. If a node fails to participate in a global checkpoint within the time determined by this parameter, the node is shut down. The default value is 0; in other words, the timeout is disabled.
TimeBetweenEpochsTimeout
is part of the implementation of “micro-GCPs”,
which can be used to improve the performance of MySQL
Cluster Replication.
The current value of this parameter and a warning are written to the cluster log whenever a GCP save takes longer than 1 minute or a GCP save takes longer than 10 seconds.
Setting this parameter to zero has the effect of disabling GCP stops caused by save timeouts, commit timeouts, or both. The maximum possible value for this parameter is 256000 milliseconds.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | epochs | 100 | 0 - 100000 | N |
The number of unprocessed epochs by which a subscribing node can lag behind. Exceeding this number causes a lagging subscriber to be disconnected.
The default value of 100 is sufficient for most normal
operations. If a subscribing node does lag enough to cause
disconnections, it is usually due to network or scheduling
issues with regard to processes or threads. (In rare
circumstances, the problem may be due to a bug in the
NDB
client.) It may be
desirable to set the value lower than the default when
epochs are longer.
Disconnection prevents client issues from affecting the data node service, running out of memory to buffer data, and eventually shutting down. Instead, only the client is affected as a result of the disconnect (by, for example gap events in the binary log), forcing the client to reconnect or restart the process.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | bytes | 26214400 | 26214400 (0x01900000) - 4294967039 (0xFFFFFEFF) | N |
The total number of bytes allocated for buffering epochs by this node.
TimeBetweenInactiveTransactionAbortCheck
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | milliseconds | 1000 | 1000 - 4294967039 (0xFFFFFEFF) | N |
Timeout handling is performed by checking a timer on each transaction once for every interval specified by this parameter. Thus, if this parameter is set to 1000 milliseconds, every transaction will be checked for timing out once per second.
The default value is 1000 milliseconds (1 second).
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | milliseconds | [see text] | 0 - 4294967039 (0xFFFFFEFF) | N |
This parameter states the maximum time that is permitted to lapse between operations in the same transaction before the transaction is aborted.
The default for this parameter is 4G
(also the maximum). For a real-time database that needs to
ensure that no transaction keeps locks for too long, this
parameter should be set to a relatively small value. The
unit is milliseconds.
TransactionDeadlockDetectionTimeout
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | milliseconds | 1200 | 50 - 4294967039 (0xFFFFFEFF) | N |
When a node executes a query involving a transaction, the node waits for the other nodes in the cluster to respond before continuing. A failure to respond can occur for any of the following reasons:
The node is “dead”
The operation has entered a lock queue
The node requested to perform the action could be heavily overloaded.
This timeout parameter states how long the transaction coordinator waits for query execution by another node before aborting the transaction, and is important for both node failure handling and deadlock detection.
The default timeout value is 1200 milliseconds (1.2 seconds).
The minimum for this parameter is 50 milliseconds.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | bytes | 4M | 32K - 4294967039 (0xFFFFFEFF) | N |
This is the maximum number of bytes to store before flushing
data to a local checkpoint file. This is done to prevent
write buffering, which can impede performance significantly.
This parameter is not intended to take
the place of
TimeBetweenLocalCheckpoints
.
When ODirect
is
enabled, it is not necessary to set
DiskSyncSize
; in
fact, in such cases its value is simply ignored.
The default value is 4M (4 megabytes).
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | numeric | 20M | 1M - 1024G | S |
Set the maximum rate for writing to disk, in bytes per second, by local checkpoints and backup operations when no restarts (by this data node or any other data node) are taking place in this MySQL Cluster.
For setting the maximum rate of disk writes allowed while
this data node is restarting, use
MaxDiskWriteSpeedOwnRestart
.
For setting the maximum rate of disk writes allowed while
other data nodes are restarting, use
MaxDiskWriteSpeedOtherNodeRestart
.
The minimum speed for disk writes by all LCPs and backup
operations can be adjusted by setting
MinDiskWriteSpeed
.
MaxDiskWriteSpeedOtherNodeRestart
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | numeric | 50M | 1M - 1024G | S |
Set the maximum rate for writing to disk, in bytes per second, by local checkpoints and backup operations when one or more data nodes in this MySQL Cluster are restarting, other than this node.
For setting the maximum rate of disk writes allowed while
this data node is restarting, use
MaxDiskWriteSpeedOwnRestart
.
For setting the maximum rate of disk writes allowed when no
data nodes are restarting anywhere in the cluster, use
MaxDiskWriteSpeed
.
The minimum speed for disk writes by all LCPs and backup
operations can be adjusted by setting
MinDiskWriteSpeed
.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | numeric | 200M | 1M - 1024G | S |
Set the maximum rate for writing to disk, in bytes per second, by local checkpoints and backup operations while this data node is restarting.
For setting the maximum rate of disk writes allowed while
other data nodes are restarting, use
MaxDiskWriteSpeedOtherNodeRestart
.
For setting the maximum rate of disk writes allowed when no
data nodes are restarting anywhere in the cluster, use
MaxDiskWriteSpeed
.
The minimum speed for disk writes by all LCPs and backup
operations can be adjusted by setting
MinDiskWriteSpeed
.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | numeric | 10M | 1M - 1024G | S |
Set the minimum rate for writing to disk, in bytes per second, by local checkpoints and backup operations.
The maximum rates of disk writes allowed for LCPs and
backups under various conditions are adjustable using the
parameters
MaxDiskWriteSpeed
,
MaxDiskWriteSpeedOwnRestart
,
and
MaxDiskWriteSpeedOtherNodeRestart
.
See the descriptions of these parameters for more
information.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | milliseconds | 7500 | 10 - 4294967039 (0xFFFFFEFF) | N |
This parameter specifies how long data nodes wait for a response from the arbitrator to an arbitration message. If this is exceeded, the network is assumed to have split.
The default value is 7500 milliseconds (7.5 seconds).
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | enumeration | Default | Default, Disabled, WaitExternal | N |
The Arbitration
parameter enables a choice of arbitration schemes,
corresponding to one of 3 possible values for this
parameter:
Default.
This enables arbitration to proceed normally, as
determined by the ArbitrationRank
settings for the management and API nodes. This is the
default value.
Disabled.
Setting Arbitration = Disabled
in
the [ndbd default]
section of the
config.ini
file to accomplishes
the same task as setting
ArbitrationRank
to 0 on all
management and API nodes. When
Arbitration
is set in this way, any
ArbitrationRank
settings are
ignored.
WaitExternal.
The
Arbitration
parameter also makes it possible to configure
arbitration in such a way that the cluster waits until
after the time determined by
ArbitrationTimeout
has passed for an external cluster manager application
to perform arbitration instead of handling arbitration
internally. This can be done by setting
Arbitration = WaitExternal
in the
[ndbd default]
section of the
config.ini
file. For best results
with the WaitExternal
setting, it
is recommended that
ArbitrationTimeout
be 2 times as long as the interval required by the
external cluster manager to perform arbitration.
This parameter should be used only in the [ndbd
default]
section of the cluster configuration
file. The behavior of the cluster is unspecified when
Arbitration
is set
to different values for individual data nodes.
RestartSubscriberConnectTimeout
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | ms | 12000 | 0 - 4294967039 (0xFFFFFEFF) | S |
This parameter determines the time that a data node waits
for subscribing API nodes to connect. Once this timeout
expires, any “missing” API nodes are
disconnected from the cluster. To disable this timeout, set
RestartSubscriberConnectTimeout
to 0.
While this parameter is specified in milliseconds, the timeout itself is resolved to the next-greatest whole second.
Buffering and logging.
Several [ndbd]
configuration parameters
enable the advanced user to have more control over the
resources used by node processes and to adjust various buffer
sizes at need.
These buffers are used as front ends to the file system when
writing log records to disk. If the node is running in diskless
mode, these parameters can be set to their minimum values
without penalty due to the fact that disk writes are
“faked” by the NDB
storage engine's file system abstraction layer.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | unsigned | 2M | 1M - 4294967039 (0xFFFFFEFF) | N |
The UNDO index buffer, whose size is set by this parameter,
is used during local checkpoints. The
NDB
storage engine uses a
recovery scheme based on checkpoint consistency in
conjunction with an operational REDO log. To produce a
consistent checkpoint without blocking the entire system for
writes, UNDO logging is done while performing the local
checkpoint. UNDO logging is activated on a single table
fragment at a time. This optimization is possible because
tables are stored entirely in main memory.
The UNDO index buffer is used for the updates on the primary key hash index. Inserts and deletes rearrange the hash index; the NDB storage engine writes UNDO log records that map all physical changes to an index page so that they can be undone at system restart. It also logs all active insert operations for each fragment at the start of a local checkpoint.
Reads and updates set lock bits and update a header in the hash index entry. These changes are handled by the page-writing algorithm to ensure that these operations need no UNDO logging.
This buffer is 2MB by default. The minimum value is 1MB,
which is sufficient for most applications. For applications
doing extremely large or numerous inserts and deletes
together with large transactions and large primary keys, it
may be necessary to increase the size of this buffer. If
this buffer is too small, the NDB storage engine issues
internal error code 677 (Index UNDO buffers
overloaded
).
It is not safe to decrease the value of this parameter during a rolling restart.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | unsigned | 16M | 1M - 4294967039 (0xFFFFFEFF) | N |
This parameter sets the size of the UNDO data buffer, which performs a function similar to that of the UNDO index buffer, except the UNDO data buffer is used with regard to data memory rather than index memory. This buffer is used during the local checkpoint phase of a fragment for inserts, deletes, and updates.
Because UNDO log entries tend to grow larger as more operations are logged, this buffer is also larger than its index memory counterpart, with a default value of 16MB.
This amount of memory may be unnecessarily large for some applications. In such cases, it is possible to decrease this size to a minimum of 1MB.
It is rarely necessary to increase the size of this buffer. If there is such a need, it is a good idea to check whether the disks can actually handle the load caused by database update activity. A lack of sufficient disk space cannot be overcome by increasing the size of this buffer.
If this buffer is too small and gets congested, the NDB storage engine issues internal error code 891 (Data UNDO buffers overloaded).
It is not safe to decrease the value of this parameter during a rolling restart.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | bytes | 32M | 1M - 4294967039 (0xFFFFFEFF) | N |
All update activities also need to be logged. The REDO log makes it possible to replay these updates whenever the system is restarted. The NDB recovery algorithm uses a “fuzzy” checkpoint of the data together with the UNDO log, and then applies the REDO log to play back all changes up to the restoration point.
RedoBuffer
sets the size of the buffer in
which the REDO log is written. The default value is 32MB;
the minimum value is 1MB.
If this buffer is too small, the
NDB
storage engine issues error
code 1221 (REDO log buffers
overloaded). For this reason, you should
exercise care if you attempt to decrease the value of
RedoBuffer
as part of an online change in
the cluster's configuration.
ndbmtd allocates a separate buffer for
each LDM thread (see
ThreadConfig
). For
example, with 4 LDM threads, an ndbmtd
data node actually has 4 buffers and allocates
RedoBuffer
bytes to each one, for a total
of 4 * RedoBuffer
bytes.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | bytes | 8192 | 0 - 64K | S |
Controls the size of the circular buffer used for NDB log events within data nodes.
Controlling log messages.
In managing the cluster, it is very important to be able to
control the number of log messages sent for various event
types to stdout
. For each event category,
there are 16 possible event levels (numbered 0 through 15).
Setting event reporting for a given event category to level 15
means all event reports in that category are sent to
stdout
; setting it to 0 means that there
will be no event reports made in that category.
By default, only the startup message is sent to
stdout
, with the remaining event reporting
level defaults being set to 0. The reason for this is that these
messages are also sent to the management server's cluster log.
An analogous set of levels can be set for the management client to determine which event levels to record in the cluster log.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | integer | 1 | 0 - 15 | N |
The reporting level for events generated during startup of the process.
The default level is 1.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | integer | 0 | 0 - 15 | N |
The reporting level for events generated as part of graceful shutdown of a node.
The default level is 0.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | integer | 0 | 0 - 15 | N |
The reporting level for statistical events such as number of primary key reads, number of updates, number of inserts, information relating to buffer usage, and so on.
The default level is 0.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | log level | 0 | 0 - 15 | N |
The reporting level for events generated by local and global checkpoints.
The default level is 0.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | integer | 0 | 0 - 15 | N |
The reporting level for events generated during node restart.
The default level is 0.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | integer | 0 | 0 - 15 | N |
The reporting level for events generated by connections between cluster nodes.
The default level is 0.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | integer | 0 | 0 - 15 | N |
The reporting level for events generated by errors and warnings by the cluster as a whole. These errors do not cause any node failure but are still considered worth reporting.
The default level is 0.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | levelr | 0 | 0 - 15 | N |
The reporting level for events generated by congestion. These errors do not cause node failure but are still considered worth reporting.
The default level is 0.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | integer | 0 | 0 - 15 | N |
The reporting level for events generated for information about the general state of the cluster.
The default level is 0.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | unsigned | 0 | 0 - 4294967039 (0xFFFFFEFF) | N |
This parameter controls how often data node memory usage reports are recorded in the cluster log; it is an integer value representing the number of seconds between reports.
Each data node's data memory and index memory usage is
logged as both a percentage and a number of 32 KB pages of
the DataMemory
and
IndexMemory
,
respectively, set in the config.ini
file. For example, if
DataMemory
is equal
to 100 MB, and a given data node is using 50 MB for data
memory storage, the corresponding line in the cluster log
might look like this:
2006-12-24 01:18:16 [MgmSrvr] INFO -- Node 2: Data usage is 50%(1280 32K pages of total 2560)
MemReportFrequency
is not a required parameter. If used, it can be set for all
cluster data nodes in the [ndbd default]
section of config.ini
, and can also be
set or overridden for individual data nodes in the
corresponding [ndbd]
sections of the
configuration file. The minimum value—which is also
the default value—is 0, in which case memory reports
are logged only when memory usage reaches certain
percentages (80%, 90%, and 100%), as mentioned in the
discussion of statistics events in
Section 18.5.6.2, “MySQL Cluster Log Events”.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | seconds | 0 | 0 - 4294967039 (0xFFFFFEFF) | N |
When a data node is started with the
--initial
, it initializes the
redo log file during Start Phase 4 (see
Section 18.5.1, “Summary of MySQL Cluster Start Phases”). When very
large values are set for
NoOfFragmentLogFiles
,
FragmentLogFileSize
,
or both, this initialization can take a long time.You can
force reports on the progress of this process to be logged
periodically, by means of the
StartupStatusReportFrequency
configuration parameter. In this case, progress is reported
in the cluster log, in terms of both the number of files and
the amount of space that have been initialized, as shown
here:
2009-06-20 16:39:23 [MgmSrvr] INFO -- Node 1: Local redo log file initialization status: #Total files: 80, Completed: 60 #Total MBytes: 20480, Completed: 15557 2009-06-20 16:39:23 [MgmSrvr] INFO -- Node 2: Local redo log file initialization status: #Total files: 80, Completed: 60 #Total MBytes: 20480, Completed: 15570
These reports are logged each
StartupStatusReportFrequency
seconds during Start Phase 4. If
StartupStatusReportFrequency
is 0 (the default), then reports are written to the cluster
log only when at the beginning and at the completion of the
redo log file initialization process.
Debugging Parameters.
It is also possible to cause logging of traces for events
generated by creating and dropping tables using
DictTrace
. This
parameter is useful only in debugging NDB kernel code.
DictTrace
takes an
integer value; currently, 0 (default - no logging) and 1
(logging enabled) are the only supported values.
Backup parameters.
The [ndbd]
parameters discussed in this
section define memory buffers set aside for execution of
online backups.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | bytes | 16M | 512K - 4294967039 (0xFFFFFEFF) | N |
NDB 7.5.0 | bytes | 16M | 2M - 4294967039 (0xFFFFFEFF) | N |
NDB 7.5.1 | bytes | 16M | 512K - 4294967039 (0xFFFFFEFF) | N |
In creating a backup, there are two buffers used for sending
data to the disk. The backup data buffer is used to fill in
data recorded by scanning a node's tables. Once this buffer
has been filled to the level specified as
BackupWriteSize
, the
pages are sent to disk. While flushing data to disk, the
backup process can continue filling this buffer until it
runs out of space. When this happens, the backup process
pauses the scan and waits until some disk writes have
completed freeing up memory so that scanning may continue.
The default value for this parameter is 16MB. The minimum was changed from 2M to 512K in MySQL Cluster NDB 7.5.1. (Bug #22749509)
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | percent | 50 | 0 - 90 | N |
During normal operation, data nodes attempt to maximize the
disk write speed used for local checkpoints and backups
while remaining within the bounds set by
MinDiskWriteSpeed
and
MaxDiskWriteSpeed
.
Disk write throttling gives each LDM thread an equal share
of the total budget. This allows parallel LCPs to take place
without exceeding the disk I/O budget. Because a backup is
executed by only one LDM thread, this effectively caused a
budget cut, resulting in longer backup completion times,
and—if the rate of change is sufficiently
high—in failure to complete the backup when the backup
log buffer fill rate is higher than the achievable write
rate.
This problem can be addressed by using the
BackupDiskWriteSpeedPct
configuration
parameter, which takes a value in the range 0-90 (inclusive)
which is interpreted as the percentage of the node's
maximum write rate budget that is reserved prior to sharing
out the remainder of the budget among LDM threads for LCPs.
The LDM thread running the backup receives the whole write
rate budget for the backup, plus its (reduced) share of the
write rate budget for local checkpoints. (This makes the
disk write rate budget behave similarly to how it was
handled in MySQL Cluster NDB 7.3 and earlier.)
The default value for this parameter is 50 (interpreted as 50%).
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | bytes | 16M | 2M - 4294967039 (0xFFFFFEFF) | N |
The backup log buffer fulfills a role similar to that played by the backup data buffer, except that it is used for generating a log of all table writes made during execution of the backup. The same principles apply for writing these pages as with the backup data buffer, except that when there is no more space in the backup log buffer, the backup fails. For that reason, the size of the backup log buffer must be large enough to handle the load caused by write activities while the backup is being made. See Section 18.5.3.3, “Configuration for MySQL Cluster Backups”.
The default value for this parameter should be sufficient for most applications. In fact, it is more likely for a backup failure to be caused by insufficient disk write speed than it is for the backup log buffer to become full. If the disk subsystem is not configured for the write load caused by applications, the cluster is unlikely to be able to perform the desired operations.
It is preferable to configure cluster nodes in such a manner that the processor becomes the bottleneck rather than the disks or the network connections.
The default value for this parameter is 16MB.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | bytes | 32M | 0 - 4294967039 (0xFFFFFEFF) | N |
This parameter is deprecated, and subject to removal in a future version of MySQL Cluster. Any setting made for it is ignored.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | seconds | 0 | 0 - 4294967039 (0xFFFFFEFF) | N |
This parameter controls how often backup status reports are
issued in the management client during a backup, as well as
how often such reports are written to the cluster log
(provided cluster event logging is configured to permit
it—see
Logging and checkpointing).
BackupReportFrequency
represents the time in seconds between backup status
reports.
The default value is 0.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | bytes | 256K | 32K - 4294967039 (0xFFFFFEFF) | N |
This parameter specifies the default size of messages written to disk by the backup log and backup data buffers.
The default value for this parameter is 256KB.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | bytes | 1M | 256K - 4294967039 (0xFFFFFEFF) | N |
This parameter specifies the maximum size of messages written to disk by the backup log and backup data buffers.
The default value for this parameter is 1MB.
When specifying these parameters, the following relationships must hold true. Otherwise, the data node will be unable to start.
BackupDataBufferSize >= BackupWriteSize +
188KB
BackupLogBufferSize >= BackupWriteSize +
16KB
BackupMaxWriteSize >= BackupWriteSize
The [ndbd]
parameters discussed in this
section are used in scheduling and locking of threads to
specific CPUs on multiprocessor data node hosts.
To make use of these parameters, the data node process must be run as system root.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | CPU ID | 64K | 0 - 64K | N |
When used with ndbd, this parameter (now
a string) specifies the ID of the CPU assigned to handle the
NDBCLUSTER
execution thread.
When used with ndbmtd, the value of this
parameter is a comma-separated list of CPU IDs assigned to
handle execution threads. Each CPU ID in the list should be
an integer in the range 0 to 65535 (inclusive).
The number of IDs specified should match the number of
execution threads determined by
MaxNoOfExecutionThreads
.
However, there is no guarantee that threads are assigned to
CPUs in any given order when using this parameter. You can
obtain more finely-grained control of this type using
ThreadConfig
.
LockExecuteThreadToCPU
has no default value.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | CPU ID | [none] | 0 - 64K | N |
This parameter specifies the ID of the CPU assigned to
handle NDBCLUSTER
maintenance
threads.
The value of this parameter is an integer in the range 0 to 65535 (inclusive). There is no default value.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | boolean | false | true, false | N |
Setting this parameter to 1 enables real-time scheduling of data node threads.
The default is 0 (scheduling disabled).
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | µs | 50 | 0 - 11000 | N |
This parameter specifies the time in microseconds for threads to be executed in the scheduler before being sent. Setting it to 0 minimizes the response time; to achieve higher throughput, you can increase the value at the expense of longer response times.
The default is 50 μsec, which our testing shows to increase throughput slightly in high-load cases without materially delaying requests.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | integer | 5 | 0 - 10 | S |
Set the balance in the NDB
scheduler
between speed and throughput. This parameter takes an
integer whose value is in the range 0-10 inclusive, with 5
as the default. Higher values provide better response times
relative to throughput. Lower values provide increased
throughput at the expense of longer response times.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | µs | 0 | 0 - 500 | N |
This parameter specifies the time in microseconds for threads to be executed in the scheduler before sleeping.
The default value is 0.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | numeric | 0 | 0 - 128 | S |
This parameter determines the number of threads to create
when rebuilding ordered indexes during a system or node
start, as well as when running
ndb_restore
--rebuild-indexes
. It is
supported only when there is more than one fragment for the
table per data node (for example, when the
MAX_ROWS
option has been used with
CREATE TABLE
).
Setting this parameter to 0 (the default) disables multi-threaded building of ordered indexes.
This parameter is supported when using ndbd or ndbmtd.
You can enable multi-threaded builds during data node
initial restarts by setting the
TwoPassInitialNodeRestartCopy
data node configuration parameter to
TRUE
.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | boolean | false | true, false | N |
Multi-threaded building of ordered indexes can be enabled
for initial restarts of data nodes by setting this
configuration parameter to TRUE
, which
enables two-pass copying of data during initial node
restarts.
You must also set
BuildIndexThreads
to
a nonzero value.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | boolean | 1 | ... | N |
This parameter determines whether Non-Uniform Memory Access
(NUMA) is controlled by the operating or by the data node
process, whether the data node uses ndbd
or ndbmtd. By default,
NDB
attempts to use an interleaved NUMA
memory allocation policy on any data node where the host
operating system provides NUMA support.
Setting Numa = 0
means that the datanode
process does not itself attempt to set a policy for memory
allocation, and permits this behavior to be determined by
the operating system, which may be further guided by the
separate numactl tool. That is,
Numa = 0
yields the system default
behavior, which can be customised by
numactl. For many Linux systems, the
system default behavior is to allocate socket-local memory
to any given process at allocation time. This can be
problematic when using ndbmtd; this is
because nbdmtd allocates all memory at
startup, leading to an imbalance, giving different access
speeds for different sockets, especially when locking pages
in main memory.
Setting Numa = 1
means that the data node
process uses libnuma
to request
interleaved memory allocation. (This can also be
accomplished manually, on the operating system level, using
numactl.) Using interleaved allocation in
effect tells the data node process to ignore non-uniform
memory access but does not attempt to take any advantage of
fast local memory; instead, the data node process tries to
avoid imbalances due to slow remote memory. If interleaved
allocation is not desired, set Numa
to 0
so that the desired behavior can be determined on the
operating system level.
The Numa
configuration parameter is
supported only on Linux systems where
libnuma.so
is available.
Multi-Threading Configuration Parameters (ndbmtd).
ndbmtd runs by default as a single-threaded
process and must be configured to use multiple threads, using
either of two methods, both of which require setting
configuration parameters in the
config.ini
file. The first method is
simply to set an appropriate value for the
MaxNoOfExecutionThreads
configuration parameter. A second method, makes it possible to
set up more complex rules for ndbmtd
multi-threading using
ThreadConfig
. The
next few paragraphs provide information about these parameters
and their use with multi-threaded data nodes.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | integer | 2 | 2 - 72 | IS |
This parameter directly controls the number of execution
threads used by ndbmtd, up to a maximum
of 72. Although this parameter is set in
[ndbd]
or [ndbd
default]
sections of the
config.ini
file, it is exclusive to
ndbmtd and does not apply to
ndbd.
Setting MaxNoOfExecutionThreads
sets the
number of threads for each type as determined by a matrix in
the file
storage/ndb/src/kernel/vm/mt_thr_config.cpp
.
This table shows these numbers of threads for possible
values of MaxNoOfExecutionThreads
.
MaxNoOfExecutionThreads Value | LDM Threads | TC Threads | Send Threads | Receive Threads |
---|---|---|---|---|
0 .. 3 | 1 | 1 | 0 | 1 |
4 .. 6 | 2 | 1 | 0 | 1 |
7 .. 8 | 4 | 1 | 0 | 1 |
9 | 4 | 2 | 0 | 1 |
10 | 4 | 2 | 1 | 1 |
11 | 4 | 3 | 1 | 1 |
12 | 6 | 3 | 1 | 2 |
13 | 6 | 2 | 1 | 2 |
14 | 6 | 3 | 1 | 2 |
15 | 6 | 3 | 2 | 2 |
16 | 8 | 3 | 1 | 2 |
17 | 8 | 4 | 1 | 2 |
18 | 8 | 4 | 2 | 2 |
19 | 8 | 5 | 2 | 2 |
20 | 10 | 4 | 2 | 2 |
21 | 10 | 5 | 2 | 2 |
22 | 10 | 5 | 2 | 3 |
23 | 10 | 6 | 2 | 3 |
24 | 12 | 5 | 2 | 3 |
25 | 12 | 6 | 2 | 3 |
26 | 12 | 6 | 3 | 3 |
27 | 12 | 7 | 3 | 3 |
28 | 12 | 7 | 3 | 4 |
29 | 12 | 8 | 3 | 4 |
30 | 12 | 8 | 4 | 4 |
31 | 12 | 9 | 4 | 4 |
32 | 16 | 8 | 3 | 3 |
33 | 16 | 8 | 3 | 4 |
34 | 16 | 8 | 4 | 4 |
35 | 16 | 9 | 4 | 4 |
36 | 16 | 10 | 4 | 4 |
37 | 16 | 10 | 4 | 5 |
38 | 16 | 11 | 4 | 5 |
39 | 16 | 11 | 5 | 5 |
40 | 20 | 10 | 4 | 4 |
41 | 20 | 10 | 4 | 5 |
42 | 20 | 11 | 4 | 5 |
43 | 20 | 11 | 5 | 5 |
44 | 20 | 12 | 5 | 5 |
45 | 20 | 12 | 5 | 6 |
46 | 20 | 13 | 5 | 6 |
47 | 20 | 13 | 6 | 6 |
48 | 24 | 12 | 5 | 5 |
49 | 24 | 12 | 5 | 6 |
50 | 24 | 13 | 5 | 6 |
51 | 24 | 13 | 6 | 6 |
52 | 24 | 14 | 6 | 6 |
53 | 24 | 14 | 6 | 7 |
54 | 24 | 15 | 6 | 7 |
55 | 24 | 15 | 7 | 7 |
56 | 24 | 16 | 7 | 7 |
57 | 24 | 16 | 7 | 8 |
58 | 24 | 17 | 7 | 8 |
59 | 24 | 17 | 8 | 8 |
60 | 24 | 18 | 8 | 8 |
61 | 24 | 18 | 8 | 9 |
62 | 24 | 19 | 8 | 9 |
63 | 24 | 19 | 9 | 9 |
64 | 32 | 16 | 7 | 7 |
65 | 32 | 16 | 7 | 8 |
66 | 32 | 17 | 7 | 8 |
67 | 32 | 17 | 8 | 8 |
68 | 32 | 18 | 8 | 8 |
69 | 32 | 18 | 8 | 9 |
70 | 32 | 19 | 8 | 9 |
71 | 32 | 20 | 8 | 9 |
72 | 32 | 20 | 8 | 10 |
There is always one SUMA (replication) thread.
The number of LDM threads must not exceed
NoOfFragmentLogParts
.
If this parameter's value is the default (4), this
means that you must increase it as well, when setting
MaxNoOfExecutionThreads
to 16 or greater;
that is, you should set
NoOfFragmentLogParts
to the corresponding
number of LDM threads value shown for that value of
MaxNoOfExecutionThreads
in the preceding
table.
The thread types are described later in this section (see
ThreadConfig
).
Setting this parameter outside the permitted range of values
causes the management server to abort on startup with the
error Error line
number
: Illegal value
value
for parameter
MaxNoOfExecutionThreads.
For MaxNoOfExecutionThreads
, a value of 0
or 1 is rounded up internally by
NDB
to 2, so that 2 is
considered this parameter's default and minimum value.
MaxNoOfExecutionThreads
is generally
intended to be set equal to the number of CPU threads
available, and to allocate a number of threads of each type
suitable to typical workloads. It does not assign particular
threads to specified CPUs. For cases where it is desirable
to vary from the settings provided, or to bind threads to
CPUs, you should use
ThreadConfig
instead, which allows you to allocate each thread directly
to a desired type, CPU, or both.
The multi-threaded data node process always spawns, at a minimum, the threads listed here:
1 local query handler (LDM) thread
1 transaction coordinator (TC) thread
1 receive thread
1 subscription manager (SUMA or replication) thread
Changing the number of LDM threads always requires a system
restart, whether it is changed using this parameter or
ThreadConfig
. If
the cluster's
IndexMemory
usage is
greater than 50%, changing this requires an initial restart
of the cluster. (A maximum of 30-35%
IndexMemory
usage is recommended in such
cases.) Otherwise, resource usage and LDM thread allocation
cannot be balanced between nodes, which can result in
underutilized and overutilized LDM threads, and ultimately
data node failures.
Effective Version | Type/Units | Default | Range/Values | Restart Type |
---|---|---|---|---|
NDB 7.4.0 | numeric | 4 | 4, 8, 12, 16, 24, 32 | IN |
Set the number of log file groups for redo logs belonging to this ndbmtd. The maximum value is 32; the value set must be an even multiple of 4.
The number of LQH threads used by ndbmtd
must not exceed NoOfFragmentLogParts
, and
this number may increase when increasing
MaxNoOfExecutionThreads
;
see the description of this parameter for more information.