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From:Prashant Tekriwal Date:October 23 2018 11:44am
Subject:MySQL Cluster 7.5.12 has been released
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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 7.5.12, has been released and can be downloaded from

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

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

Enjoy !

Changes in MySQL NDB Cluster 7.5.12 (5.7.24-ndb-7.5.12) (2018-10-23,
General Availability)

    MySQL NDB Cluster 7.5.12 is a new release of MySQL NDB
    Cluster 7.5, based on MySQL Server 5.7 and including features
    in version 7.5 of the NDB
    storage engine, as well as fixing recently discovered bugs in
    previous NDB Cluster releases.

    Obtaining MySQL NDB Cluster 7.5.  MySQL NDB Cluster 7.5
    source code and binaries can be obtained from

    For an overview of changes made in MySQL NDB Cluster 7.5, see
    What is New in NDB Cluster 7.5

    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 5.7
    through MySQL 5.7.24 (see Changes in MySQL 5.7.24 (2018-10-22,
    General Availability)

Bugs Fixed

      * Packaging: Expected NDB header files were in the devel
        RPM package instead of libndbclient-devel. (Bug
        Bug #26448330)

      * MySQL NDB ClusterJ: When a table containing a BLOB
or a
        field was being queried with ClusterJ for a record
        did not exist, an exception ("The method is not
valid in
        current blob state") was thrown. (Bug #28536926)

      * MySQL NDB ClusterJ: A NullPointerException was thrown
        when a full table scan was performed with ClusterJ
        tables containing either a BLOB or a TEXT field. It
        because the proper object initializations were
        and they have now been added by this fix. (Bug
        Bug #91242)

      * When the SUMA kernel block receives a SUB_STOP_REQ
        signal, it executes the signal then replies with
        SUB_STOP_CONF. (After this response is relayed back
        the API, the API is open to send more SUB_STOP_REQ
        signals.) After sending the SUB_STOP_CONF, SUMA
drops the
        subscription if no subscribers are present, which
        involves sending multiple DROP_TRIG_IMPL_REQ
messages to
        DBTUP. LocalProxy can handle up to 21 of these
        in parallel; any more than this are queued in the
        Time Queue. When execution of a DROP_TRIG_IMPL_REQ
        delayed, there was a chance for the queue to become
        overloaded, leading to a data node shutdown with
Error in
        short time queue.
        This issue is fixed by delaying the execution of the
        SUB_STOP_REQ signal if DBTUP is already handling
        DROP_TRIG_IMPL_REQ signals at full capacity, rather
        queueing up the DROP_TRIG_IMPL_REQ signals.

      * Having a large number of deferred triggers could
        sometimes lead to job buffer exhaustion. This could
        due to the fact that a single trigger can execute
        operations---for example, a foreign key parent
        may perform operations on multiple matching child
        rows---and that a row operation on a base table can
        execute multiple triggers. In such cases, row
        are executed in batches. When execution of many
        was deferred---meaning that all deferred triggers
        executed at pre-commit---the resulting concurrent
        execution of a great many trigger operations could
        the data node job buffer or send buffer to be
        leading to failure of the node.
        This issue is fixed by limiting the number of
        trigger operations as well as the number of trigger
        requests outstanding per transaction.
        For immediate triggers, limiting of concurrent
        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.
        References: See also: Bug #18229003, Bug #27310330.

      * When moving an OperationRec from the serial to the
        parallel queue, Dbacc::startNext() failed to update
        Operationrec::OP_ACC_LOCK_MODE flag which is
required to
        reflect the accumulated OP_LOCK_MODE of all previous
        operations in the parallel queue. This inconsistency
        the ACC lock queues caused the scan lock takeover
        mechanism to fail, as it incorrectly concluded that
        lock to take over was not held. The same failure
        an assert when aborting an operation that was a
member of
        such an inconsistent parallel lock queue. (Bug
        Bug #28530928)

      * DBTUP sent the error Tuple corruption detected when a
        read operation attempted to read the value of a
        inserted within the same transaction. (Bug #92009,

      * False constraint violation errors could occur when
        executing updates on self-referential foreign keys.
        (Bug#91965, Bug #28486390)
        References: See also: Bug #90644, Bug #27930382.

      * An NDB internal trigger definition could be dropped while
        pending instances of the trigger remained to be
        by attempting to look up the definition for a
        which had already been released. This caused
        unpredictable and thus unsafe behavior possibly
        to data node failure. The root cause of the issue
lay in
        an invalid assumption in the code relating to
        whether a given trigger had been released; the issue
        fixed by ensuring that the behavior of NDB, when a
        trigger definition is determined to have been
        is consistent, and that it meets expectations.
        (Bug#91894, Bug #28451957)

      * In certain cases, a cascade update trigger was fired
        repeatedly on the same record, which eventually
        all available concurrent operations, leading to
Error 233
        Out of operation records in transaction coordinator
        (increase MaxNoOfConcurrentOperations). If
        was set to a value sufficiently high to avoid this,
        the issue manifested as data nodes consuming very
        amounts of CPU, very likely eventually leading to a
        timeout. (Bug #91472, Bug #28262259)

      * Inserting a row into an NDB
        table having a self-referencing foreign key that
        referenced a unique index on the table other than
        primary key failed with ER_NO_REFERENCED_ROW_2

This was due to
        the fact that NDB checked foreign key constraints
        the unique index was updated, so that the constraint
        check was unable to use the index for locating the
        Now, in such cases, NDB waits until all unique index
        values have been updated before checking foreign key
        constraints on the inserted row. (Bug #90644,
        References: See also: Bug #91965, Bug #28486390.

On Behalf of Oracle/MySQL Release Engineering Team
Prashant Tekriwal

MySQL Cluster 7.5.12 has been releasedPrashant Tekriwal23 Oct