MySQL NDB Cluster 7.6.2 is a new release of NDB 7.6, based on
MySQL Server 5.7 and including features in version 7.6 of the
NDB
storage engine, as well as fixing
recently discovered bugs in previous NDB Cluster releases.
Obtaining NDB Cluster 7.6. NDB Cluster 7.6 source code and binaries can be obtained from https://dev.mysql.com/downloads/cluster/.
For an overview of changes made in NDB Cluster 7.6, see What is New in NDB Cluster 7.6.
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 5.7.18 (see Changes in MySQL 5.7.18 (2017-04-10, General Availability)).
Incompatible Change; NDB Disk Data: Due to changes in disk file formats, it is necessary to perform an
--initial
restart of each data node when upgrading to or downgrading from this release.-
Important Change: As part of an ongoing effort to simplify NDB Cluster configuration, memory for indexes is now allocated dynamically from
DataMemory
; theIndexMemory
configuration parameter is now deprecated, and is subject to removal in a future NDB version. Any memory which has been set forIndexMemory
in theconfig.ini
file is now automatically added toDataMemory
. In addition, the default value forDataMemory
has been increased to 98M, and the default forIndexMemory
has been decreased to 0.In addition to simplifying configuration of
NDB
, a further benefit of these changes is that scaling up by increasing the number of LDM threads is no longer limited by having set an insufficiently large value forIndexMemory
. Previously, it was sometimes the case that increasing the number of LDM threads could lead to index memory exhaustion while large amounts ofDataMemory
remained available.Because instances of the
DBACC
kernel block (responsible for hash index storage) now share memory with each one another as well as withDBLQH
(the kernel block that acts as the local data manager), they can take advantage of the fact that scaling up does not increaseDataMemory
usage greatly, and make use of spare memory for indexes freely. (For more information about these kernel blocks, see The DBACC Block, and The DBLQH Block.) In other words, index memory is no longer a static quantity allocated to each DBACC instance only once, on startup of the cluster, but rather this resource can now be allocated and deallocated whenever conditions require it.Related changes which have been made as part of this work are listed here:
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Several instances of
DataMemory
usage not related to storage of table data now use transaction memory instead.For this reason, it may be necessary on some systems to increase
SharedGlobalMemory
. In addition, systems performing initial bulk loads of data using large transactions may need to break up large transactions into smaller ones. Data nodes now generate
MemoryUsage
events (see NDB Cluster Log Events) and write appropriate messages in the cluster log when resource usage reaches 99%, in addition to when it reaches 80%, 90%, or 100% as they did previously.REPORT MEMORYUSAGE
and other commands which expose memory consumption now shows index memory consumption using a page size of 32K rather than 8K.IndexMemory
is no longer one of the values displayed in thendbinfo.memoryusage
table'smemory_type
column.-
The
ndbinfo.resources
table now shows theDISK_OPERATIONS
resource asTRANSACTION_MEMORY
.The
RESERVED
resource has been removed. IndexMemory
is no longer displayed in ndb_config output.
(WL #9835, WL #10196)
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Performance: A number of debugging statements and printouts in the sources for the
DBTC
andDBLQH
kernel blocks, as well as in related code, were moved into debugging code or removed altogether. This is expected to result in an improvement of up to 10% in the performance of local data management and transaction coordinator threads in many common use cases. (WL #10188)-
NDB Cluster APIs; ndbinfo Information Database: Added two tables to the
ndbinfo
information database. Theconfig_nodes
table provides information about nodes that are configured as part of a given NDB Cluster, such as node ID and process type. Theprocesses
table shows information about nodes currently connected to the cluster; this information includes the process name and system process ID, and service address. For each data node and SQL node, it also shows the process ID of the node's angel process.As part of the work done to implement the
processes
table, a newset_service_uri()
method has been added to the NDB API.For more information, see The ndbinfo config_nodes Table, and The ndbinfo processes Table, as well as Ndb_cluster_connection::set_service_uri(). (WL #9819, WL #10147)
NDB Cluster APIs: The system name of an NDB cluster is now visible in the mysql client as the value of the
Ndb_system_name
status variable, and can also be obtained by NDB API application using theNdb_cluster_connection::get_system_name()
method. The system name can be set using theName
parameter in the[system]
section of the cluster configuration file. (WL #10321)Added the
--query-all
option to ndb_config. This option acts much like the--query
option except that--query-all
(short form:-a
) dumps configuration information for all attributes at one time. (Bug #60095, Bug #11766869)Previously, when one LDM thread experienced I/O lag, such as during a disk overload condition, it wrote to a local checkpoint more slowly—that is, it wrote in I/O lag mode. However, other LDM threads did not necessarily observe or conform to this state. To ensure that write speed for the LCP is reduced by all LDM threads when such a slowdown is encountered,
NDB
now tracks I/O lag mode globally, so that I/O lag state is reported as soon as at least one thread is writing in I/O lag mode, and thus all LDM threads are forced to write in lag mode while the lag condition persists. This reduction in write speed by other LDM instances should increase overall capacity, enabling the disk overload condition to be overcome more quickly in such cases than before. (WL #10174)-
Added the ndb_import tool to facilitate the loading of CSV-formatted data, such as that produced by
SELECT INTO OUTFILE
, into anNDB
table. ndb_import is intended to function much like mysqlimport or theLOAD DATA
SQL statement, and supports many similar options for formatting of the data file. A connection to anNDB
management server (ndb_mgmd) is required; there must be an otherwise unused[api]
slot in the cluster'sconfig.ini
file for this purpose. In addition, the target database and table (created using theNDB
storage engine) must already exist, and the name of the CSV file (less any file extension) must be the same as that of the target table. A running SQL node is needed for creating the target database and table, but is not required for ndb_import to function.For more information, see ndb_import — Import CSV Data Into NDB. (WL #7614, WL #8862, WL #10653)
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Partitioning: The output of
EXPLAIN PARTITIONS
displayed incorrect values in thepartitions
column when run on an explicitly partitionedNDB
table having a large number of partitions.This was due to the fact that, when processing an
EXPLAIN
statement, mysqld calculates the partition ID for a hash value as (
), which is correct only when the table is partitioned byhash_value
%number_of_partitions
HASH
, since other partitioning types use different methods of mapping hash values to partition IDs. This fix replaces the partition ID calculation performed by mysqld with an internalNDB
function which calculates the partition ID correctly, based on the table's partitioning type. (Bug #21068548)References: See also: Bug #25501895, Bug #14672885.
Microsoft Windows: When collecting information about CPUs on Windows, the Auto-Installer counted only physical cores, unlike on other platforms, where it collects information about both physical and virtual cores. Now the CPU information obtained on Windows is the same as that provided on other platforms. (Bug #85209, Bug #25636423)
Solaris; ndbmemcache:
ndbmemcache
was not built correctly on Solaris platforms when compiling NDB Cluster using Developer Studio. (Bug #85477, Bug #25730703)Solaris; MySQL NDB ClusterJ: ClusterJ was not built correctly on Solaris platforms when compiling NDB Cluster using Oracle Developer Studio. (Bug #25738510)
Solaris: The minimum required version of Solaris is now Solaris 11 update 3, due to a dependency on system runtime libraries.
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Solaris: On Solaris, MySQL is now built with Developer Studio 12.5 instead of gcc. The binaries require the Developer Studio C/C++ runtime libraries to be installed. See here for how to install only the libraries:
https://docs.oracle.com/cd/E60778_01/html/E60743/gozsu.html
NDB Disk Data: In some cases, setting dynamic in-memory columns of an NDB Disk Data table to
NULL
was not handled correctly. (Bug #79253, Bug #22195588)-
NDB Replication: Execution of
CREATE TABLE
could in some cases cause the replication slave SQL thread to hang. (Bug #85015, Bug #25654833)References: This issue is a regression of: Bug #83676, Bug #25042101.
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When
ndb_report_thresh_binlog_epoch_slip
was enabled, an event buffer status message withreport_reason=LOW/ENOUGH_FREE_EVENTBUFFER
was printed in the logs when event buffer usage was high and then decreased to a lower level. This calculation was based on total allocated event buffer memory rather than the limit set byndb_eventbuffer_max_alloc
; it was also printed even when the event buffer had unlimited memory (ndb_eventbuffer_max_alloc
= 0, the default), which could confuse users.This is fixed as follows:
The calculation of
ndb_eventbuffer_free_percent
is now based onndb_eventbuffer_max_alloc
, rather than the amount actually allocated.When
ndb_eventbuffer_free_percent
is set andndb_eventbuffer_max_alloc
is equal to 0, event buffer status messages usingreport_reason=LOW/ENOUGH_FREE_EVENTBUFFER
are no longer printed.When
ndb_report_thresh_binlog_epoch_slip
is set, an event buffer status message showingreport_reason=BUFFERED_EPOCHS_OVER_THRESHOLD
is written each 10 seconds (rather than every second) whenever this is greater than the threshold.
(Bug #25726723)
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A bulk update is executed by reading records and executing a transaction on the set of records, which is started while reading them. When transaction initialization failed, the transaction executor function was subsequently unaware that this had occurred, leading to SQL node failures. This issue is fixed by providing appropriate error handling when attempting to initialize the transaction. (Bug #25476474)
References: See also: Bug #20092754.
CPU usage of the data node's main thread by the
DBDIH
master block as the end of a local checkpoint could approach 100% in certain cases where the database had a very large number of fragment replicas. This is fixed by reducing the frequency and range of fragment queue checking during an LCP. (Bug #25443080)Execution of an online
ALTER TABLE ... REORGANIZE PARTITION
statement on anNDB
table having a primary key whose length was greater than 80 bytes led to restarting of data nodes, causing the reorganization to fail. (Bug #25152165)-
Multiple data node failures during a partial restart of the cluster could cause API nodes to fail. This was due to expansion of an internal object ID map by one thread, thus changing its location in memory, while another thread was still accessing the old location, leading to a segmentation fault in the latter thread.
The internal
map()
andunmap()
functions in which this issue arose have now been made thread-safe. (Bug #25092498)References: See also: Bug #25306089.
The planned shutdown of an NDB Cluster having more than 10 data nodes was not always performed gracefully. (Bug #20607730)
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Dropped
TRANS_AI
signals that used the long signal format were not handled by theDBTC
kernel block. (Bug #85606, Bug #25777337)References: See also: Bug #85519, Bug #27540805.
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Iproved pushed join handling by eliminating unneeded
FLUSH_AI
attributes that passed an empty row to theDBSPJ
kernel block, when a row should be passed to the SPJ API only; this reduces the set ofAttrInfo
projections that must be executed in order to produce the result. This also makes it possible to employ packedTRANSID_AI
signals when delivering SPJ API results, which is more efficient. (Bug #85525, Bug #25741170)References: See also: Bug #85545, Bug #25750355.
Use of the long signal format (introduced in NDB 6.4) for an incoming
TRANSID_AI
message is supported by theBACKUP
,DBTC
,DBLQH
,SUMA
,DBSPJ
, andDBUTIL
NDB kernel blocks, but theDBTUP
block produced long signals only when sending toDPSPJ
orDBUTIL
, and otherwise sent a series of short signals instead. NowDBTUP
uses long signals for such messages whenever the receiving block supports this optimization. (Bug #85519, Bug #25740805)-
To prevent a scan from returning more rows, bytes, or both than the client has reserved buffers for, the
DBTUP
kernel block reports the size of theTRANSID_AI
it has sent to the client in theTUPKEYCONF
signal it sends to the requestingDBLQH
block.DBLQH
is aware of the maximum batch size available for the result set, and terminates the scan batch if this has been exceeded.The
DBSPJ
block'sFLUSH_AI
attribute allowsDBTUP
to produce twoTRANSID_AI
results from the same row, one for the client, and one forDBSPJ
, which is needed for key lookups on the joined tables. The size of both of these were added to the read length reported by theDBTUP
block, which caused the controllingDBLQH
block to believe that it had consumed more of the available maximum batch size than was actually the case, leading to premature termination of the scan batch which could have a negative impact on performance of SPJ scans. To correct this, only the actual read length part of an API request is now reported in such cases. (Bug #85408, Bug #25702850) Data node binaries for Solaris 11 built using Oracle Developer Studio 12.5 on SPARC platforms failed with bus errors. (Bug #85390, Bug #25695818)
During the initial phase of a scan request, the
DBTC
kernel block sends a series ofDIGETNODESREQ
signals to theDBDIH
block in order to obtain dictionary information for each fragment to be scanned. IfDBDIH
returnedDIGETNODESREF
, the error code from that signal was not read, and Error 218 Out of LongMessageBuffer was always returned instead. Now in such cases, the error code from the DIGETNODESREF signal is actually used. (Bug #85225, Bug #25642405)If the user attempts to invoke ndb_setup.py while the Auto-Installer is still running—for example, after closing the terminal in which it was started and later opening a new terminal and invoking it in the new one—the program fails with the error Web server already running, which is expected behavior. In such cases, the
mcc.pid
file must first be removed prior to restarting the Auto-Installer (also expected behavior). Now when the program fails for this reason, the location ofmcc.pid
is included in the error message to simplify this task. (Bug #85169, Bug #25611093)The planned shutdown of a data node after one or more data nodes in the same node group had failed was not always performed correctly. (Bug #85168, Bug #25610703)
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There existed the possibility of a race condition between schema operations on the same database object originating from different SQL nodes; this could occur when one of the SQL nodes was late in releasing its metadata lock on the affected schema object or objects in such a fashion as to appear to the schema distribution coordinator that the lock release was acknowledged for the wrong schema change. This could result in incorrect application of the schema changes on some or all of the SQL nodes or a timeout with repeated waiting max
###
sec for distributing... messages in the node logs due to failure of the distribution protocol. (Bug #85010, Bug #25557263)References: See also: Bug #24926009.
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When a foreign key was added to or dropped from an NDB table using an
ALTER TABLE
statement, the parent table's metadata was not updated, which made it possible to execute invalid alter operations on the parent afterwards.Until you can upgrade to this release, you can work around this problem by running
SHOW CREATE TABLE
on the parent immediately after adding or dropping the foreign key; this statement causes the table's metadata to be reloaded. (Bug #82989, Bug #24666177) -
Transactions on
NDB
tables with cascading foreign keys returned inconsistent results when the query cache was also enabled, due to the fact that mysqld was not aware of child table updates. This meant that results for a laterSELECT
from the child table were fetched from the query cache, which at that point contained stale data.This is fixed in such cases by adding all children of the parent table to an internal list to be checked by
NDB
for updates whenever the parent is updated, so that mysqld is now properly informed of any updated child tables that should be invalidated from the query cache. (Bug #81776, Bug #23553507)