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MySQL Cluster 7.3.10 has been released
Posted by: Lars Tangvald
Date: July 14, 2015 07:14AM

 
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 7.3.10, 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 Cluster NDB 7.3.10 (5.6.25-ndb-7.3.10) (2015-07-13)

   MySQL Cluster NDB 7.3.10 is a new release of MySQL 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 MySQL Cluster releases.

   Obtaining MySQL Cluster NDB 7.3.  MySQL Cluster NDB 7.3
   source code and binaries can be obtained from
   http://dev.mysql.com/downloads/cluster/.

   For an overview of changes made in MySQL Cluster NDB 7.3, see
   MySQL Cluster Development in MySQL Cluster NDB 7.3
   (http://dev.mysql.com/doc/refman/5.6/en/mysql-cluster-develop
   ment-5-6-ndb-7-3.html).

   This release also incorporates all bugfixes and changes made
   in previous MySQL Cluster releases, as well as all bugfixes
   and feature changes which were added in mainline MySQL 5.6
   through MySQL 5.6.25 (see Changes in MySQL 5.6.25
   (2015-05-29) (http://dev.mysql.com/doc/relnotes/mysql/5.6/en/
   news-5-6-25.html)).

   Functionality Added or Changed

     * ClusterJ: Under high workload, it was possible to overload
    the direct memory used to back domain objects, because
    direct memory is not garbage collected in the same manner
    as objects allocated on the heap. Two strategies have been
    added to the ClusterJ implementation: first, direct memory is
    now pooled, so that when the domain object is garbage collected,
    the direct memory can be reused by another domain object.
    Additionally, a new user-level method, release(instance), has
    been added to the Session interface, which allows users to
    release the direct memory before the corresponding domain
    object is garbage collected. See the description for
    release(instance) for more information. (Bug #20504741)

   Bugs Fixed

     * Important Change; Cluster API: Added the method
       Ndb::isExpectingHigherQueuedEpochs() to the NDB API to
       detect when additional, newer event epochs were detected
       by pollEvents2().
       The behavior of Ndb::pollEvents() has also been modified
       such that it now returns NDB_FAILURE_GCI (equal to
       ~(Uint64) 0) when a cluster failure has been detected.
       (Bug #18753887)

     * After restoring the database metadata (but not any data)
       by running ndb_restore --restore_meta (or -m), SQL nodes
       would hang while trying to SELECT from a table in the
       database to which the metadata was restored. In such
       cases the attempt to query the table now fails as
       expected, since the table does not actually exist until
       ndb_restore is executed with --restore_data (-r). (Bug
       #21184102)
       References: See also Bug #16890703.

     * When a great many threads opened and closed blocks in the
       NDB API in rapid succession, the internal close_clnt()
       function synchronizing the closing of the blocks waited
       an insufficiently long time for a self-signal indicating
       potential additional signals needing to be processed.
       This led to excessive CPU usage by ndb_mgmd, and
       prevented other threads from opening or closing other
       blocks. This issue is fixed by changing the function
       polling call to wait on a specific condition to be woken
       up (that is, when a signal has in fact been executed).
       (Bug #21141495)

     * Previously, multiple send threads could be invoked for
       handling sends to the same node; these threads then
       competed for the same send lock. While the send lock
       blocked the additional send threads, work threads could
       be passed to other nodes.
       This issue is fixed by ensuring that new send threads are
       not activated while there is already an active send
       thread assigned to the same node. In addition, a node
       already having an active send thread assigned to it is no
       longer visible to other, already active, send threads;
       that is, such a node is longer added to the node list
       when a send thread is currently assigned to it. (Bug
       #20954804, Bug #76821)

     * Queueing of pending operations when the redo log was
       overloaded (DefaultOperationRedoProblemAction API node
       configuration parameter) could lead to timeouts when data
       nodes ran out of redo log space (P_TAIL_PROBLEM errors).
       Now when the redo log is full, the node aborts requests
       instead of queuing them. (Bug #20782580)
       References: See also Bug #20481140.

     * NDB statistics queries could be delayed by the error
       delay set for ndb_index_stat_option (default 60 seconds)
       when the index that was queried had been marked with
       internal error. The same underlying issue could also
       cause ANALYZE TABLE to hang when executed against an NDB
       table having multiple indexes where an internal error
       occured on one or more but not all indexes.
       Now in such cases, any existing statistics are returned
       immediately, without waiting for any additonal statistics
       to be discovered. (Bug #20553313, Bug #20707694, Bug
       #76325)

     * The multi-threaded scheduler sends to remote nodes either
       directly from each worker thread or from dedicated send
       threadsL, depending on the cluster's configuration. This
       send might transmit all, part, or none of the available
       data from the send buffers. While there remained pending
       send data, the worker or send threads continued trying to
       send in a loop. The actual size of the data sent in the
       most recent attempt to perform a send is now tracked, and
       used to detect lack of send progress by the send or
       worker threads. When no progress has been made, and there
       is no other work outstanding, the scheduler takes a 1
       millisecond pause to free up the CPU for use by other
       threads. (Bug #18390321)
       References: See also Bug #20929176, Bug #20954804.

     * In some cases, the DBDICT block failed to handle repeated
       GET_TABINFOREQ signals after the first one, leading to
       possible node failures and restarts. This could be
       observed after setting a sufficiently high value for
       MaxNoOfExecutionThreads and low value for
       LcpScanProgressTimeout. (Bug #77433, Bug #21297221)

     * Client lookup for delivery of API signals to the correct
       client by the internal
       TransporterFacade::deliver_signal() function had no mutex
       protection, which could cause issues such as timeouts
       encountered during testing, when other clients connected
       to the same TransporterFacade. (Bug #77225, Bug
       #21185585)

     * It was possible to end up with a lock on the send buffer
       mutex when send buffers became a limiting resource, due
       either to insufficient send buffer resource
       configuration, problems with slow or failing
       communications such that all send buffers became
       exhausted, or slow receivers failing to consume what was
       sent. In this situation worker threads failed to allocate
       send buffer memory for signals, and attempted to force a
       send in order to free up space, while at the same time
       the send thread was busy trying to send to the same node
       or nodes. All of these threads competed for taking the
       send buffer mutex, which resulted in the lock already
       described, reported by the watchdog as Stuck in Send.
       This fix is made in two parts, listed here:

         1. The send thread no longer holds the global send
            thread mutex while getting the send buffer mutex; it
            now releases the global mutex prior to locking the
            send buffer mutex. This keeps worker threads from
            getting stuck in send in such cases.

         2. Locking of the send buffer mutex done by the send
            threads now uses a try-lock. If the try-lock fails,
            the node to make the send to is reinserted at the
            end of the list of send nodes in order to be retried
            later. This removes the Stuck in Send condition for
            the send threads.
       (Bug #77081, Bug #21109605)

     * Cluster API: Creation and destruction of
       Ndb_cluster_connection objects by multiple threads could
       make use of the same application lock, which in some
       cases led to failures in the global dictionary cache. To
       alleviate this problem, the creation and destruction of
       several internal NDB API objects have been serialized.
       (Bug #20636124)

     * Cluster API: A number of timeouts were not handled
       correctly in the NDB API.
       (Bug #20617891)

     * Cluster API: When an Ndb object created prior to a
       failure of the cluster was reused, the event queue of
       this object could still contain data node events
       originating from before the failure. These events could
       reference "old" epochs (from before the failure
       occurred), which in turn could violate the assumption
       made by the nextEvent() method that epoch numbers always
       increase. This issue is addressed by explicitly clearing
       the event queue in such cases. (Bug #18411034)

     * ClusterJ: When used with Java 1.7 or higher, ClusterJ might
       cause the Java VM to crash when querying tables with BLOB
       columns, because NdbDictionary::createRecord calculates the
       wrong size needed for the record. Subsequently, when ClusterJ
       called NdbScanOperation::nextRecordCopyOut, the data
       overran the allocated buffer space. With this fix, ClusterJ
       checks the size calculated by NdbDictionary::createRecord and
       uses the value for the buffer size, if it is larger than the value
       ClusterJ itself calculates (Bug #20695155)

On behalf of Oracle/MySQL RE Team
Lars Tangvald

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