Dear MySQL Users,
MySQL Cluster is the distributed, shared-nothing variant of MySQL.
This storage engine provides:
- In-Memory storage - Real-time performance (with optional
checkpointing to disk)
- Transparent Auto-Sharding - Read & write scalability
- Active-Active/Multi-Master geographic replication
- 99.999% High Availability with no single point of failure
and on-line maintenance
- NoSQL and SQL APIs (including C++, Java, http, Memcached
and JavaScript/Node.js)
MySQL Cluster 7.3.23, has been released and can be downloaded from
http://www.mysql.com/downloads/cluster/
where you will also find Quick Start guides to help you get your
first MySQL Cluster database up and running.
The release notes are available from
http://dev.mysql.com/doc/relnotes/mysql-cluster/7.3/en/index.html
MySQL Cluster enables users to meet the database challenges of next
generation web, cloud, and communications services with uncompromising
scalability, uptime and agility.
More details can be found at
http://www.mysql.com/products/cluster/
Enjoy !
Changes in MySQL NDB Cluster 7.3.23 (5.6.42-ndb-7.3.23) (2018-10-23, General Availability)
MySQL NDB Cluster 7.3.23 is a new release of NDB Cluster,
based on MySQL Server 5.6 and including features from version
7.3 of the NDB storage engine, as well as fixing a number of
recently discovered bugs in previous NDB Cluster releases.
Obtaining MySQL NDB Cluster 7.3. MySQL NDB Cluster 7.3
source code and binaries can be obtained from
http://dev.mysql.com/downloads/cluster/.
For an overview of changes made in MySQL NDB Cluster 7.3, see
What is New in NDB Cluster 7.3
(http://dev.mysql.com/doc/refman/5.6/en/mysql-cluster-what-is-new-7-3.html).
This release also incorporates all bug fixes and changes made
in previous NDB Cluster releases, as well as all bug fixes
and feature changes which were added in mainline MySQL 5.6
through MySQL 5.6.42 (see Changes in MySQL 5.6.42 (Not yet
released, General Availability)
(http://dev.mysql.com/doc/relnotes/mysql/5.6/en/news-5-6-42.html)).
Bugs Fixed
* Having a large number of deferred triggers could
sometimes lead to job buffer exhaustion. This could occur
due to the fact that a single trigger can execute many
operations---for example, a foreign key parent trigger
may perform operations on multiple matching child table
rows---and that a row operation on a base table can
execute multiple triggers. In such cases, row operations
are executed in batches. When execution of many triggers
was deferred---meaning that all deferred triggers are
executed at pre-commit---the resulting concurrent
execution of a great many trigger operations could cause
the data node job buffer or send buffer to be exhausted,
leading to failure of the node.
This issue is fixed by limiting the number of concurrent
trigger operations as well as the number of trigger fire
requests outstanding per transaction.
For immediate triggers, limiting of concurrent trigger
operations may increase the number of triggers waiting to
be executed, exhausting the trigger record pool and
resulting in the error Too many concurrently fired
triggers (increase MaxNoOfFiredTriggers. This can be
avoided by increasing MaxNoOfFiredTriggers, reducing the
user transaction batch size, or both. (Bug #22529864)
References: See also: Bug #18229003, Bug #27310330.
On Behalf of Oracle/MySQL Release Engineering Team
Piotr Obrzut