The following sections describe changes in the implementation of NDB Cluster in MySQL NDB Cluster 8.0 through 8.0.30, as compared to earlier release series. NDB Cluster 8.0 is available as a General Availability (GA) release, beginning with NDB 8.0.19. NDB Cluster 7.6 and 7.5 are previous GA releases still supported in production; for information about NDB Cluster 7.6, see What is New in NDB Cluster 7.6. For similar information about NDB Cluster 7.5, see What is New in NDB Cluster 7.5. NDB Cluster 7.4 and 7.3 are previous GA releases still supported in production, although we recommend that new deployments for production use NDB Cluster 8.0; see MySQL NDB Cluster 7.3 and NDB Cluster 7.4.
Major changes and new features in NDB Cluster 8.0 which are likely to be of interest are shown in the following list:
Compatibility enhancements. The following changes reduce longstanding nonessential differences in
NDBbehavior as compared to that of other MySQL storage engines:
Development in parallel with MySQL server. Beginning with this release, MySQL NDB Cluster is being developed in parallel with the standard MySQL 8.0 server under a new unified release model with the following features:
NDB 8.0 is developed in, built from, and released with the MySQL 8.0 source code tree.
The numbering scheme for NDB Cluster 8.0 releases follows the scheme for MySQL 8.0.
Building the source with
-clusterto the version string returned by mysql
-V, as shown here:
$> mysql -V mysql Ver 8.0.30-cluster for Linux on x86_64 (Source distribution)
NDBbinaries continue to display both the MySQL Server version and the
NDBengine version, like this:
$> ndb_mgm -V MySQL distrib mysql-8.0.29 ndb-8.0.30, for Linux (x86_64)
In MySQL Cluster NDB 8.0, these two version numbers are always the same.
Platform support notes. NDB 8.0 makes the following changes in platform support:
NDBCLUSTERno longer supports 32-bit platforms. Beginning with NDB 8.0.21, the NDB build process checks the system architecture and aborts if it is not a 64-bit platform.
It is now possible to build
NDBfrom source for 64-bit
ARMCPUs. Currently, this support is source-only, and we do not provide any precompiled binaries for this platform.
Database and table names. NDB 8.0 removes the previous 63-byte limit on identifiers for databases and tables. These identifiers can now use up to 64 bytes, as for such objects using other MySQL storage engines. See Section 126.96.36.199, “Previous NDB Cluster Issues Resolved in NDB Cluster 8.0”.
Generated names for foreign keys.
NDBnow uses the pattern
for naming internally generated foreign keys. This is similar to the pattern used by
Schema and metadata distribution and synchronization. NDB 8.0 makes use of the MySQL data dictionary to distribute schema information to SQL nodes joining a cluster and to synchronize new schema changes between existing SQL nodes. The following list describes individual enhancements relating to this integration work:
Schema distribution enhancements. The
NDBschema distribution coordinator, which handles schema operations and tracks their progress, has been extended in NDB 8.0 to ensure that resources used during a schema operation are released at its conclusion. Previously, some of this work was done by the schema distribution client; this has been changed due to the fact that the client did not always have all needed state information, which could lead to resource leaks when the client decided to abandon the schema operation prior to completion and without informing the coordinator.
To help fix this issue, schema operation timeout detection has been moved from the schema distribution client to the coordinator, providing the coordinator with an opportunity to clean up any resources used during the schema operation. The coordinator now checks ongoing schema operations for timeout at regular intervals, and marks participants that have not yet completed a given schema operation as failed when detecting timeout. It also provides suitable warnings whenever a schema operation timeout occurs. (It should be noted that, after such a timeout is detected, the schema operation itself continues.) Additional reporting is done by printing a list of active schema operations at regular intervals whenever one or more of these operations is ongoing.
Disk data file distribution. NDB Cluster 8.0.14, uses the MySQL data dictionary to make sure that disk data files and related constructs such as tablespaces and log file groups are correctly distributed between all connected SQL nodes.
Schema synchronization of tablespace objects. When a MySQL Server connects as an SQL node to an NDB cluster, it checks its data dictionary against the information found in the
Previously, the only
NDBobjects synchronized on connection of a new SQL node were databases and tables; MySQL NDB Cluster 8.0 also implements schema synchronization of disk data objects including tablespaces and log file groups. Among other benefits, this eliminates the possibility of a mismatch between the MySQL data dictionary and the
NDBdictionary following a native backup and restore, in which tablespaces and log file groups were restored to the
NDBdictionary, but not to the MySQL Server's data dictionary.
It is also no longer possible to issue a
CREATE TABLEstatement that refers to a nonexistent tablespace. Such a statement now fails with an error.
Database DDL synchronization enhancements. Work done for NDB 8.0 insures that synchronization of databases by newly joined (or rejoined) SQL nodes with those on existing SQL nodes now makes proper use of the data dictionary so that any database-level operations (
ALTER DATABASE, or
DROP DATABASE) that may have been missed by this SQL node are now correctly duplicated on it when it connects (or reconnects) to the cluster.
As part of the schema synchronization procedure performed when starting, an SQL node now compares all databases on the cluster's data nodes with those in its own data dictionary, and if any of these is found to be missing from the SQL node's data dictionary, the SQL Node installs it locally by executing a
CREATE DATABASEstatement. A database thus created uses the default MySQL Server database properties (such as those as determined by
collation_database) that are in effect on this SQL node at the time the statement is executed.
NDB metadata change detection and synchronization. NDB 8.0 implements a new mechanism for detection of updates to metadata for data objects such as tables, tablespaces, and log file groups with the MySQL data dictionary. This is done using a thread, the
NDBmetadata change monitor thread, which runs in the background and checks periodically for inconsistencies between the
NDBdictionary and the MySQL data dictionary.
The monitor performs metadata checks every 60 seconds by default. The polling interval can be adjusted by setting the value of the
ndb_metadata_check_intervalsystem variable; polling can be disabled altogether by setting the
ndb_metadata_checksystem variable to
OFF. The status variable
Ndb_metadata_detected_countshows the number of times since mysqld was last started that inconsistencies have been detected.
NDBdatabase, table, log file group, and tablespace objects submitted by the metadata change monitor thread during operations following startup are automatically checked for mismatches and synchronized by the
NDB 8.0 adds two status variables relating to automatic synchronization:
Ndb_metadata_synced_countshows the number of objects synchronized automatically;
Ndb_metadata_excluded_countindicates the number of objects for which synchronization has failed (prior to NDB 8.0.22, this variable was named
Ndb_metadata_blacklist_size). In addition, you can see which objects have been synchronized by inspecting the cluster log.
ndb_metadata_syncsystem variable to
trueoverrides any settings that have been made for
ndb_metadata_check, causing the change monitor thread to begin continuous metadata change detection.
In NDB 8.0.22 and later, setting
trueclears the list of objects for which synchronization has failed previously, which means it is no longer necessary to discover individual tables or to re-trigger synchronization by reconnecting the SQL node to the cluster. In addition, setting this variable to
falseclears the list of objects waiting to be retried.
Beginning with NDB 8.0.21, more detailed information about the current state of automatic synchronization than can be obtained from log messages or status variables is provided by two new tables added to the MySQL Performance Schema. The tables are listed here:
ndb_sync_pending_objects: Contains information about database objects for which mismatches have been detected between the
NDBdictionary and the MySQL data dictionary (and which have not been excluded from automatic synchronization).
ndb_sync_excluded_objects: Contains information about
NDBdatabase objects which have been excluded because they cannot be synchronized between the
NDBdictionary and the MySQL data dictionary, and thus require manual intervention.
A row in one of these tables provides the database object's parent schema, name, and type. Types of objects include schemas, tablespaces, log file groups, and tables. (If the object is a log file group or tablespace, the parent schema is
NULL.) In addition, the
ndb_sync_excluded_objectstable shows the reason for which the object has been excluded.
These tables are present only if
NDBCLUSTERstorage engine support is enabled. For more information about these tables, see Section 27.12.12, “Performance Schema NDB Cluster Tables”.
Changes in NDB table extra metadata. The extra metadata property of an
NDBtable is used for storing serialized metadata from the MySQL data dictionary, rather than storing the binary representation of the table as in previous versions. (This was a
.frmfile, no longer used by the MySQL Server—see Chapter 14, MySQL Data Dictionary.) As part of the work to support this change, the available size of the table's extra metadata has been increased. This means that
NDBtables created in NDB Cluster 8.0 are not compatible with previous NDB Cluster releases. Tables created in previous releases can be used with NDB 8.0, but cannot be opened afterwards by an earlier version.
For more information, see Section 23.3.7, “Upgrading and Downgrading NDB Cluster”.
On-the-fly upgrades of tables using .frm files. A table created in NDB 7.6 and earlier contains metadata in the form of a compressed
.frmfile, which is no longer supported in MySQL 8.0. To facilitate online upgrades to NDB 8.0,
NDBperforms on-the-fly translation of this metadata and writes it into the MySQL Server's data dictionary, which enables the mysqld in NDB Cluster 8.0 to work with the table without preventing subsequent use of the table by a previous version of the
Once a table's structure has been modified in NDB 8.0, its metadata is stored using the data dictionary, and it can no longer be accessed by NDB 7.6 and earlier.
This enhancement also makes it possible to restore an
NDBbackup made using an earlier version to a cluster running NDB 8.0 (or later).
Metadata consistency check error logging. As part of work previously done in NDB 8.0, the metadata check performed as part of auto-synchronization between the representation of an
NDBtable in the NDB dictionary and its counterpart in the MySQL data dictionary includes the table's name, storage engine, and internal ID. Beginning with NDB 8.0.23, the range of properties checked is expanded to include properties of the following data objects:
In addition, details of any mismatches in metadata properties are now written to the MySQL server error log. The formats used for the error log messages differ slightly depending on whether the discrepancy is found on the table level or on the level of a column, index, or foreign key. The format for a log error resulting from a table-level property mismatch is shown here, where
propertyis the property name,
ndb_valueis the property value as stored in the NDB dictionary, and
mysqld_valueis the value of the property as stored in the MySQL data dictionary:
Diff in 'property' detected, 'ndb_value' != 'mysqld_value'
For mismatches in properties of columns, indexes, and foreign keys, the format is as follows, where
obj_typeis one of
foreign key, and
obj_nameis the name of the object:
Diff in obj_type 'obj_name.property' detected, 'ndb_value' != 'mysqld_value'
Metadata checks are performed during automatic synchronization of
NDBtables when they are installed in the data dictionary of any mysqld acting as an SQL node in an NDB Cluster. If the mysqld is debug-compiled, checks are also made whenever a
CREATE TABLEstatement is executed, and whenever an
NDBtable is opened.
Synchronization of user privileges with NDB_STORED_USER. A new mechanism for sharing and synchronizing users, roles, and privileges between SQL nodes is available in NDB 8.0, using the
NDB_STORED_USERprivilege. Distributed privileges as implemented in NDB 7.6 and earlier (see Distributed Privileges Using Shared Grant Tables) are no longer supported.
Once a user account is created on an SQL node, the user and its privileges can be stored in
NDBand thus shared between all SQL nodes in the cluster by issuing a
GRANTstatement such as this one:
GRANT NDB_STORED_USER ON *.* TO 'jon'@'localhost';
NDB_STORED_USERalways has global scope and must be granted using
ON *.*. System reserved accounts such as
mysql.infoschema@localhostcannot be assigned this privilege.
Roles can also be shared between SQL nodes by issuing the appropriate
GRANT NDB_STORED_USERstatement. Assigning such a role to a user does not cause the user to be shared; the
NDB_STORED_USERprivilege must be granted to each user explicitly.
A user or role having
NDB_STORED_USER, along with its privileges, is shared with all SQL nodes as soon as they join a given NDB Cluster. It is possible to make such changes from any connected SQL node, but recommended practice is to do so from a designated SQL node only, since the order of execution of statements affecting privileges from different SQL nodes cannot be guaranteed to be the same on all SQL nodes.
Prior to NDB 8.0.27, changes to the privileges of a user or role were synchronized immediately with all connected SQL nodes. Beginning with MySQL 8.0.27, an SQL node takes a global read lock when updating privileges, which keeps concurrent changes executed by multiple SQL nodes from causing a deadlock.
Implications for upgrades. Due to changes in the MySQL server's privilege system (see Section 6.2.3, “Grant Tables”), privilege tables using the
NDBstorage engine do not function correctly in NDB 8.0. It is safe but not necessary to retain such privilege tables created in NDB 7.6 or earlier, but they are no longer used for access control. In NDB 8.0, a mysqld acting as an SQL node and detecting such tables in
NDBwrites a warning to the MySQL server log, and creates
InnoDBshadow tables local to itself; such shadow tables are created on each MySQL server connected to the cluster. When performing an upgrade from NDB 7.6 or earlier, the privilege tables using
NDBcan be removed safely using ndb_drop_table once all MySQL servers acting as SQL nodes have been upgraded (see Section 23.3.7, “Upgrading and Downgrading NDB Cluster”).
The ndb_restore utility's
--restore-privilege-tablesoption is deprecated but continues to be honored in NDB 8.0, and can still be used to restore distributed privilege tables present in a backup taken from a previous release of NDB Cluster to a cluster running NDB 8.0. These tables are handled as described in the preceding paragraph.
See Section 23.6.12, “Privilege Synchronization and NDB_STORED_USER”, for more information.
INFORMATION_SCHEMA changes. The following changes are made in the display of information regarding Disk Data files in the
Tablespaces and log file groups are no longer represented in the
FILEStable. (These constructs are not actually files.)
Each data file is now represented by a single row in the
FILEStable. Each undo log file is also now represented in this table by one row only. (Previously, a row was displayed for each copy of each of these files on each data node.)
INFORMATION_SCHEMAtables are now populated with tablespace statistics for MySQL Cluster tables. (Bug #27167728)
Error information with ndb_perror. The deprecated
--ndboption for perror has been removed. Instead, use ndb_perror to obtain error message information from
NDBerror codes. (Bug #81704, Bug #81705, Bug #23523926, Bug #23523957)
Condition pushdown enhancements. Previously, condition pushdown was limited to predicate terms referring to column values from the same table to which the condition was being pushed. In NDB 8.0, this restriction is removed such that column values from tables earlier in the query plan can also be referred to from pushed conditions. NDB 8.0 supports joins comparing column expressions, as well as comparisons between columns in the same table. Columns and column expressions to be compared must be of exactly the same type; this means they must also be of the same signedness, length, character set, precision, and scale, whenever these attributes apply. Conditions being pushed could not be part of pushed joins prior to NDB 8.0.27, when this restriction is lifted.
Pushing down larger parts of a condition allows more rows to be filtered out by the data nodes, thereby reducing the number of rows which mysqld must handle during join processing. Another benefit of these enhancements is that filtering can be performed in parallel in the LDM threads, rather than in a single mysqld process on an SQL node; this has the potential to improve query performance significantly.
Existing rules for type compatibility between column values being compared continue to apply (see Section 188.8.131.52, “Engine Condition Pushdown Optimization”).
Pushdown of outer joins and semijoins. Work done in NDB 8.0.20 allows many outer joins and semijoins, and not only those using a primary key or unique key lookup, to be pushed down to the data nodes (see Section 184.108.40.206, “Engine Condition Pushdown Optimization”).
Outer joins using scans which can now be pushed include those which meet the following conditions:
There are no unpushed conditions on the table
There are no unpushed conditions on other tables in the same join nest, or in upper join nests on which it depends
All other tables in the same join nest, or in upper join nests on which it depends, are also pushed
A semijoin that uses an index scan can now be pushed if it meets the conditions just noted for a pushed outer join, and it uses the
firstMatchstrategy (see Section 220.127.116.11, “Optimizing IN and EXISTS Subquery Predicates with Semijoin Transformations”).
These additional improvements are made in NDB 8.0.21:
Antijoins produced by the MySQL Optimizer through the transformation of
NOT INqueries (see Section 18.104.22.168, “Optimizing IN and EXISTS Subquery Predicates with Semijoin Transformations”) can be pushed down to the data nodes by
This can be done when there is no unpushed condition on the table, and the query fulfills any other conditions which must be met for an outer join to be pushed down.
NDBattempts to identify and evaluate a non-dependent scalar subquery before trying to retrieve any rows from the table to which it is attached. When it can do so, the value obtained is used as part of a pushed condition, instead of using the subquery which provided the value.
Beginning with NDB 8.0.27, conditions pushed as part of a pushed query can now refer to columns from ancestor tables within the same pushed query, subject to the following conditions:
Values being compared must be of the same type, including length, precision, and scale.
NULLhandling is performed according to the comparison semantics specified by the ISO SQL standard; any comparison with
Consider the table created using the statement shown here:
CREATE TABLE t ( x INT PRIMARY KEY, y INT ) ENGINE=NDB;
A query such as
SELECT * FROM t AS m JOIN t AS n ON m.x >= n.ycan now use the engine condition pushdown optimization to push down the condition column
When a join cannot be pushed,
EXPLAINshould provide the reason or reasons.
See Section 22.214.171.124, “Engine Condition Pushdown Optimization”, for more information.
The NDB API methods
branch_col_ge_param()were added in NDB 8.0.27 as part of this work. These
NdbInterpretedCodecan be used to compare column values with values of parameters.
NdbScanFilter::cmp_param(), also added in NDB 8.0.27, makes it possible to define comparisons between column values and parameter values for use in performing scans.
Increase in maximum row size. NDB 8.0 increases the maximum number of bytes that can be stored in an
NDBCLUSTERtable from 14000 to 30000 bytes.
The maximum offset for a fixed-width column of an
NDBtable is 8188 bytes; this is also unchanged from previous releases.
See Section 126.96.36.199, “Limits Associated with Database Objects in NDB Cluster”, for more information.
ndb_mgm SHOW command and single user mode. In NDB 8.0, when the cluster in single user mode, the output of the management client
SHOWcommand indicates which API or SQL node has exclusive access while this mode is in effect.
Online column renames. Columns of
NDBtables can now be renamed online, using
ALGORITHM=INPLACE. See Section 23.6.11, “Online Operations with ALTER TABLE in NDB Cluster”, for more information.
Improved ndb_mgmd startup times. Start times for management nodes daemon have been significantly improved in NDB 8.0, in the following ways:
Due to replacing the list data structure formerly used by
ndb_mgmdfor handling node properties from configuration data with a hash table, overall startup times for the management server have been decreased by a factor of 6 or more.
In addition, in cases where data and SQL node host names not present in the management server's
hostsfile are used in the cluster configuration file, ndb_mgmd start times can be up to 20 times shorter than was previously the case.
NDB API enhancements.
NdbScanFilter::cmp()and several comparison methods of
NdbInterpretedCodecan now be used to compare table column values with each other. The affected
NdbInterpretedCodemethods are listed here:
For all of the methods just listed, table column values to be compared much be of exactly matching types, including with respect to length, precision, signedness, scale, character set, and collation, as applicable.
See the descriptions of the individual API methods for more information.
Offline multithreaded index builds. It is now possible to specify a set of cores to be used for I/O threads performing offline multithreaded builds of ordered indexes, as opposed to normal I/O duties such as file I/O， compression， or decompression. “Offline” in this context refers to building of ordered indexes performed when the parent table is not being written to; such building takes place when an
NDBcluster performs a node or system restart, or as part of restoring a cluster from backup using ndb_restore
In addition, the default behavior for offline index build work is modified to use all cores available to ndbmtd, rather limiting itself to the core reserved for the I/O thread. Doing so can improve restart and restore times and performance, availability, and the user experience.
This enhancement is implemented as follows:
The default value for
BuildIndexThreadsis changed from 0 to 128. This means that offline ordered index builds are now multithreaded by default.
The default value for
TwoPassInitialNodeRestartCopyis changed from
true. This means that an initial node restart first copies all data from a “live” node to one that is starting—without creating any indexes—builds ordered indexes offline, and then again synchronizes its data with the live node, that is, synchronizing twice and building indexes offline between the two synchronizations. This causes an initial node restart to behave more like the normal restart of a node, and reduces the time required for building indexes.
A new thread type (
idxbld) is defined for the
ThreadConfigconfiguration parameter, to allow locking of offline index build threads to specific CPUs.
NDBnow distinguishes the thread types that are accessible to
ThreadConfigby these two criteria:
Whether the thread is an execution thread. Threads of types
sendare execution threads; thread types
Whether the allocation of the thread to a given task is permanent or temporary. Currently all thread types except
For additional information, see the descriptions of the indicated parameters in the Manual. (Bug #25835748, Bug #26928111)
logbuffers table backup process information. When performing an NDB backup, the
ndbinfo.logbufferstable now displays information regarding buffer usage by the backup process on each data node. This is implemented as rows reflecting two new log types in addition to
DD-UNDO. One of these rows has the log type
BACKUP-DATA, which shows the amount of data buffer used during backup to copy fragments to backup files. The other row has the log type
BACKUP-LOG, which displays the amount of log buffer used during the backup to record changes made after the backup has started. One each of these
log_typerows is shown in the
logbufferstable for each data node in the cluster. Rows having these two log types are present in the table only while an NDB backup is currently in progress. (Bug #25822988)
String hashing improvements. Prior to NDB 8.0, all string hashing was based on first transforming the string into a normalized form, then MD5-hashing the resulting binary image. This could give rise to some performance problems, for the following reasons:
The normalized string is always space padded to its full length. For a
VARCHAR, this often involved adding more spaces than there were characters in the original string.
The string libraries were not optimized for this space padding, which added considerable overhead in some use cases.
The padding semantics varied between character sets, some of which were not padded to their full length.
The transformed string could become quite large, even without space padding; some Unicode 9.0 collations can transform a single code point into 100 bytes or more of character data.
Subsequent MD5 hashing consisted mainly of padding with spaces, and was not particularly efficient, possibly causing additional performance penalties by flushing significant portions of the L1 cache.
A collation provides its own hash function, which hashes the string directly without first creating a normalized string. In addition, for a Unicode 9.0 collation, the hash is computed without padding.
NDBnow takes advantage of this built-in function whenever hashing a string identified as using a Unicode 9.0 collation.
Since, for other collations, there are existing databases which are hash partitioned on the transformed string,
NDBcontinues to employ the previous method for hashing strings that use these, to maintain compatibility. (Bug #89590, Bug #89604, Bug #89609, Bug #27515000, Bug #27523758, Bug #27522732)
RESET MASTER changes. Because the MySQL Server now executes
RESET MASTERwith a global read lock, the behavior of this statement when used with NDB Cluster has changed in the following two respects:
It is no longer guaranteed to be synchronous; that is, it is now possible that a read coming immediately before
RESET MASTERis issued may not be logged until after the binary log has been rotated.
It now behaves in exactly the same fashion, whether the statement is issued on the same SQL node that is writing the binary log, or on a different SQL node in the same cluster.
ndb_log_bin default. NDB 8.0 changes the default value of the
ndb_log_binsystem variable from
Dynamic transactional resource allocation. Allocation of resources in the transaction coordinator is now performed using dynamic memory pools. This means that resource allocation determined by data node configuration parameters such as
TransactionBufferMemoryis now done in such a way that, if the load represented by each of these parameters is within the target load for all such resources, others of these resources can be limited so as not to exceed the total resources available.
As part of this work, several new data node parameters controlling transactional resources in
DBTC, listed here, have been added:
See the descriptions of the parameters just listed for further information.
Backups using multiple LDMs per data node.
NDBbackups can now be performed in a parallel fashion on individual data nodes using multiple local data managers (LDMs). (Previously, backups were done in parallel across data nodes, but were always serial within data node processes.) No special syntax is required for the
START BACKUPcommand in the ndb_mgm client to enable this feature, but all data nodes must be using multiple LDMs. This means that data nodes must be running ndbmtd (ndbd is single-threaded and thus always has only one LDM) and they must be configured to use multiple LDMs before taking the backup; you can do this by choosing an appropriate setting for one of the multi-threaded data node configuration parameters
Backups using multiple LDMs create subdirectories, one per LDM, under the
BACKUP/BACKUP-directory. ndb_restore now detects these subdirectories automatically, and if they exist, attempts to restore the backup in parallel; see Section 188.8.131.52, “Restoring from a backup taken in parallel”, for details. (Single-threaded backups are restored as in previous versions of
NDB.) It is also possible to restore backups taken in parallel using an ndb_restore binary from a previous version of NDB Cluster by modifying the usual restore procedure; Section 184.108.40.206.2, “Restoring a parallel backup serially”, provides information on how to do this.
You can force the creation of single-threaded backups by setting the
EnableMultithreadedBackupdata node parameter to 0 for all data nodes in the
[ndbd default]section of the cluster's global configuration file (
Binary configuration file enhancements. NDB 8.0 uses a new format for the management server's binary configuration file. Previously, a maximum of 16381 sections could appear in the cluster configuration file; now the maximum number of sections is 4G. This is intended to support larger numbers of nodes in a cluster than was possible before this change.
Upgrades to the new format are relatively seamless, and should seldom if ever require manual intervention, as the management server continues to be able to read the old format without issue. A downgrade from NDB 8.0 to an older version of the NDB Cluster software requires manual removal of any binary configuration files or, alternatively, starting the older management server binary with the
For more information, see Section 23.3.7, “Upgrading and Downgrading NDB Cluster”.
Increased number of data nodes. NDB 8.0 increases the maximum number of data nodes supported per cluster to 144 (previously, this was 48). Data nodes can now use node IDs in the range 1 to 144, inclusive.
Previously, the recommended node IDs for management nodes were 49 and 50. These are still supported for management nodes, but using them as such limits the maximum number of data nodes to 142; for this reason, it is now recommended that node IDs 145 and 146 are used for management nodes.
As part of this work, the format used for the data node
sysfilehas been updated to version 2. This file records information such as the last global checkpoint index, restart status, and node group membership of each node (see NDB Cluster Data Node File System Directory).
RedoOverCommitCounter and RedoOverCommitLimit changes. Due to ambiguities in the semantics for setting them to 0, the minimum value for each of the data node configuration parameters
RedoOverCommitLimithas been increased to 1.
ndb_autoincrement_prefetch_sz changes. The default value of the
ndb_autoincrement_prefetch_szserver system variable is increased to 512.
Changes in parameter maximums and defaults. NDB 8.0 makes the following changes in configuration parameter maximum and default values:
Disk Data checkpointing improvements. NDB Cluster 8.0 provides a number of new enhancements which help to reduce the latency of checkpoints of Disk Data tables and tablespaces when using non-volatile memory devices such as solid-state drives and the NVMe specification for such devices. These improvements include those in the following list:
Avoiding bursts of checkpoint disk writes
Speeding up checkpoints for disk data tablespaces when the redo log or the undo log becomes full
Balancing checkpoints to disk and in-memory checkpoints against one other, when necessary
Protecting disk devices from overload to help ensure low latency under high loads
As part of this work, two data node configuration parameters have been added.
MaxDiskDataLatencyplaces a ceiling on the degree of latency permitted for disk access and causes transactions taking longer than this length of time to be aborted.
DiskDataUsingSameDiskmakes it possible to take advantage of housing Disk Data tablespaces on separate disks by increasing the rate at which checkpoints of such tablespaces can be performed.
In addition, three new tables in the
ndbinfodatabase provide information about Disk Data performance:
Memory allocation and TransactionMemory. A new
TransactionMemoryparameter simplifies allocation of data node memory for transactions as part of the work done to pool transactional and Local Data Manager (LDM) memory. This parameter is intended to replace several older transactional memory parameters which have been deprecated.
Transaction memory can now be set in any of the three ways listed here:
Several configuration parameters are incompatible with
TransactionMemory. If any of these are set,
TransactionMemorycannot be set (see Parameters incompatible with TransactionMemory), and the data node's transaction memory is determined as it was previous to NDB 8.0.Note
Attempting to set
TransactionMemoryand any of these parameters concurrently in the
config.inifile prevents the management server from starting.
TransactionMemoryis set, this value is used for determining transaction memory.
TransactionMemorycannot be set if any of the incompatible parameters mentioned in the previous item have also been set.
If none of the incompatible parameters are set and
TransactionMemoryis also not set, transaction memory is set by
Support for additional fragment replicas. NDB 8.0 increases the maximum number of fragment replicas supported in production from two to four. (Previously, it was possible to set
NoOfReplicasto 3 or 4, but this was not officially supported or verified in testing.)
Restoring by slices. Beginning with NDB 8.0.20, it is possible to divide a backup into roughly equal portions (slices) and to restore these slices in parallel using two new options implemented for ndb_restore:
This makes it possible to employ multiple instances of ndb_restore to restore subsets of the backup in parallel, potentially reducing the amount of time required to perform the restore operation.
Read from any fragment replica enabled. Read from any fragment replica is enabled by default for all
NDBtables. This means that the default value for the
ndb_read_backupsystem variable is now ON, and that the value of the
READ_BACKUPis 1 when creating a new
NDBtable. Enabling read from any fragment replica significantly improves performance for reads from
NDBtables, with minimal impact on writes.
ndb_blob_tool enhancements. Beginning with NDB 8.0.20, the ndb_blob_tool utility can detect missing blob parts for which inline parts exist and replace these with placeholder blob parts (consisting of space characters) of the correct length. To check whether there are missing blob parts, use the
--check-missingoption with this program. To replace any missing blob parts with placeholders, use the
For more information, see Section 23.5.6, “ndb_blob_tool — Check and Repair BLOB and TEXT columns of NDB Cluster Tables”.
NDB8.0.20 and later supports versioning for
ndbinfotables, and maintains the current definitions for its tables internally. At startup,
NDBcompares its supported
ndbinfoversion with the version stored in the data dictionary. If the versions differ,
NDBdrops any old
ndbinfotables and recreates them using the current definitions.
Support for Fedora Linux. Beginning with NDB 8.0.20, Fedora Linux is a supported platform for NDB Cluster Community releases and can be installed using the RPMs supplied for this purpose by Oracle. These can be obtained from the NDB Cluster downloads page.
NDB programs—NDBT dependency removal. The dependency of a number of
NDButility programs on the
NDBTlibrary has been removed. This library is used internally for development, and is not required for normal use; its inclusion in these programs could lead to unwanted issues when testing.
Affected programs are listed here, along with the
NDBversions in which the dependency was removed:
The principal effect of this change for users is that these programs no longer print
NDBT_ProgramExit -following completion of a run. Applications that depend upon such behavior should be updated to reflect the change when upgrading to the indicated versions.
Foreign keys and lettercasing.
NDBstores the names of foreign keys using the case with which they were defined. Formerly, when the value of the
lower_case_table_namessystem variable was set to 0, it performed case-sensitive comparisons of foreign key names as used in
SELECTand other SQL statements with the names as stored. Beginning with NDB 8.0.20, such comparisons are now always performed in a case-insensitive fashion, regardless of the value of
Multiple transporters. NDB 8.0.20 introduces support for multiple transporters to handle node-to-node communication between pairs of data nodes. This facilitates higher rates of update operations for each node group in the cluster, and helps avoid constraints imposed by system or other limitations on inter-node communications using a single socket.
NDBnow uses a number of transporters based on the number of local data management (LDM) threads or the number of transaction coordinator (TC) threads, whichever is greater. By default, the number of transporters is equal to half of this number. While the default should perform well for most workloads, it is possible to adjust the number of transporters employed by each node group by setting the
NodeGroupTransportersdata node configuration parameter (also introduced in NDB 8.0.20), up a maximum of the greater of the number of LDM threads or the number of TC threads. Setting it to 0 causes the number of transporters to be the same as the number of LDM threads.
ndb_restore: primary key schema changes. NDB 8.0.21 (and later) supports different primary key definitions for source and target tables when restoring an
NDBnative backup with ndb_restore when it is run with the
--allow-pk-changesoption. Both increasing and decreasing the number of columns making up the original primary key are supported.
When the primary key is extended with an additional column or columns, any columns added must be defined as
NOT NULL, and no values in any such columns may be changed during the time that the backup is being taken. Because some applications set all column values in a row when updating it, whether or not all values are actually changed, this can cause a restore operation to fail even if no values in the column to be added to the primary key have changed. You can override this behavior using the
--ignore-extended-pk-updatesoption also added in NDB 8.0.21; in this case, you must ensure that no such values are changed.
A column can be removed from the table's primary key whether or not this column remains part of the table.
Merging backups with ndb_restore. In some cases, it may be desirable to consolidate data originally stored in different instances of NDB Cluster (all using the same schema) into a single target NDB Cluster. This is now supported when using backups created in the ndb_mgm client (see Section 220.127.116.11, “Using The NDB Cluster Management Client to Create a Backup”) and restoring them with ndb_restore, using the
--remap-columnoption added in NDB 8.0.21 along with
--restore-data(and possibly additional compatible options as needed or desired).
--remap-columncan be employed to handle cases in which primary and unique key values are overlapping between source clusters, and it is necessary that they do not overlap in the target cluster, as well as to preserve other relationships between tables such as foreign keys.
--remap-columntakes as its argument a string having the format
colare, respectively, the names of the database, table, and column,
fnis the name of a remapping function, and
argsis one or more arguments to
fn. There is no default value. Only
offsetis supported as the function name, with
argsas the integer offset to be applied to the value of the column when inserting it into the target table from the backup. This column must be one of
BIGINT; the allowed range of the offset value is the same as the signed version of that type (this allows the offset to be negative if desired).
The new option can be used multiple times in the same invocation of ndb_restore, so that you can remap to new values multiple columns of the same table, different tables, or both. The offset value does not have to be the same for all instances of the option.
In addition, two new options are provided for ndb_desc, also beginning in NDB 8.0.21:
For more information and examples, see the description of the
Send thread improvements. As of NDB 8.0.20, each send thread now handles sends to a subset of transporters, and each block thread now assists only one send thread, resulting in more send threads, and thus better performance and data node scalability.
Adaptive spin control using SpinMethod. A simple interface for setting up adaptive CPU spin on platforms supporting it, using the
SpinMethoddata node parameter. This parameter (added in NDB 8.0.20, functional beginning with NDB 8.0.24) has four settings, one each for static spinning, cost-based adaptive spinning, latency-optimized adaptive spinning, and adaptive spinning optimized for database machines on which each thread has its own CPU. Each of these settings causes the data node to use a set of predetermined values for one or more spin parameters which enable adaptive spinning, set spin timing, and set spin overhead, as appropriate to a given scenario, thus obviating the need to set these directly for common use cases.
For fine-tuning spin behavior, it is also possible to set these and additional spin parameters directly, using the existing
SchedulerSpinTimerdata node configuration parameter as well as the following
DUMPcommands in the ndb_mgm client:
DUMP 104000 (SetSchedulerSpinTimerAll): Sets spin time for all threads
DUMP 104001 (SetSchedulerSpinTimerThread): Sets spin time for a specified thread
DUMP 104002 (SetAllowedSpinOverhead): Sets spin overhead as the number of units of CPU time allowed to gain 1 unit of latency
DUMP 104003 (SetSpintimePerCall): Sets the time for a call to spin
DUMP 104004 (EnableAdaptiveSpinning): Enables or disables adaptive spinning
NDB 8.0.20 also adds a new TCP configuration parameter
TcpSpinTimewhich sets the time to spin for a given TCP connection.
The ndb_top tool is also enhanced to provide spin time information per thread.
For additional information, see the description of the
SpinMethodparameter, the listed
DUMPcommands, and Section 23.5.29, “ndb_top — View CPU usage information for NDB threads”.
Disk Data and cluster restarts. Beginning with NDB 8.0.21, an initial restart of the cluster forces the removal of all Disk Data objects such as tablespaces and log file groups, including any data files and undo log files associated with these objects.
See Section 23.6.10, “NDB Cluster Disk Data Tables”, for more information.
Disk Data extent allocation. Beginning with NDB 8.0.20, allocation of extents in data files is done in a round-robin fashion among all data files used by a given tablespace. This is expected to improve distribution of data in cases where multiple storage devices are used for Disk Data storage.
For more information, see Section 18.104.22.168, “NDB Cluster Disk Data Objects”.
--ndb-log-fail-terminate option. Beginning with NDB 8.0.21, you can cause the SQL node to terminate whenever it is unable to log all row events fully. This can be done by starting mysqld with the
AllowUnresolvedHostNames parameter. By default, a management node refuses to start when it cannot resolve a host name present in the global configuration file, which can be problematic in some environments such as Kubernetes. Beginning with NDB 8.0.22, it is possible to override this behavior by setting
[tcp default]section of the cluster global configuration file (
config.inifile). Doing so causes such errors to be treated as warnings instead, and to permit ndb_mgmd to continue starting
Blob write performance enhancements. NDB 8.0.22 implements a number of improvements which allow more efficient batching when modifying multiple blob columns in the same row, or when modifying multiple rows containing blob columns in the same statement, by reducing the number of round trips required between an SQL or other API node and the data nodes when applying these modifications. The performance of many
DELETEstatements can thus be improved. Examples of such statements are listed here, where
NDBtable containing one or more Blob columns:
INSERT INTO, that is, insertion of a row containing one or more Blob columns
INSERT INTO, that is, insertion of multiple rows containing one or more Blob columns
UPDATE, where the primary key column is not a Blob type
DELETE FROM, where the primary key column is not a Blob type
DELETE FROM, where the primary key column is not a Blob type
Other SQL statements may benefit from these improvements as well. These include
LOAD DATA INFILEand
CREATE TABLE ... SELECT .... In addition,
ALTER TABLE, where
tableENGINE = NDB
tableuses a storage engine other than
NDBprior to execution of the statement, may also execute more efficiently.
This enhancement applies to statements affecting columns of MySQL type
LONGTEXT. Statements which update
TINYTEXTcolumns (or both types) only are not affected by this work, and no changes in their performance should be expected.
The performance of some SQL statements is not noticeably improved by this enhancement, due to the fact that they require scans of table Blob columns, which breaks up batching. Such statements include those of the types listed here:
SELECT FROM, where rows are selected by matching on a primary key or unique key column which uses a Blob type
UPDATE, using a
conditionwhich does not depend on a unique value
DELETE FROMto delete rows containing one or more Blob columns, using a
conditionwhich does not depend on a unique value
ALTER TABLEstatement on a table which already used the
NDBstorage engine prior to executing the statement, and whose rows contain one or more Blob columns before or after the statement is executed (or both)
To take advantage of this improvement to its fullest extent, you may wish to increase the values used for the
--ndb-blob-write-batch-bytesoptions for mysqld, to minimize the number of round trips required to modify blobs. For replication, it is also recommended that you enable the
slave_allow_batchingsystem variable, which minimizes the number of round trips required by the replica cluster to apply epoch transactions.Note
Beginning with NDB 8.0.30, you should also use
--ndb-blob-write-batch-bytes. See the descriptions of these variables, as well as Section 23.7.5, “Preparing the NDB Cluster for Replication”, for more information.
Node.js update. Beginning with NDB 8.0.22, the
NDBadapter for Node.js is built using version 12.18.3, and only that version (or a later version of Node.js) is now supported.
Encrypted backups. NDB 8.0.22 adds support for backup files encrypted using AES-256-CBC; this is intended to protect against recovery of data from backups that have been accessed by unauthorized parties. When encrypted, backup data is protected by a user-supplied password. The password can be any string consisting of up to 256 characters from the range of printable ASCII characters other than
^. Retention of the password used to encrypt any given NDB Cluster backup must be performed by the user or application;
NDBdoes not save the password. The password can be empty, although this is not recommended.
When taking an NDB Cluster backup, you can encrypt it by using
ENCRYPT PASSWORD=with the management client
START BACKUPcommand. Users of the MGM API can also initiate an encrypted backup by calling
You can encrypt existing backup files using the ndbxfrm utility which is added to the NDB Cluster distribution in the 8.0.22 release; this program can also be employed for decrypting encrypted backup files. In addition, ndbxfrm can compress backup files and decompress compressed backup files using the same method that is employed by NDB Cluster for creating backups when the
CompressedBackupconfiguration parameter is set to 1.
To restore from an encrypted backup, use ndb_restore with the options
--backup-password. Both options are required, along with any others that would be needed to restore the same backup if it were not encrypted. ndb_print_backup_file and ndbxfrm can also read encrypted files using, respectively,
In all cases in which a password is supplied together with an option for encryption or decryption, the password must be quoted; you can use either single or double quotation marks to delimit the password.
Beginning with NDB 8.0.24, several
NDBprograms, listed here, also support input of the password from standard input, similarly to how this is done when logging in interactively with the mysql client using the
--passwordoption (without including the password on the command line):
For ndb_restore and ndb_print_backup_file, the
--backup-password-from-stdinoption enables input of the password in a secure fashion, similar to how it is done by the mysql client'
--passwordoption. For ndb_restore, use the option together with the
--decryptoption; for ndb_print_backup_file, use the option in place of the
See the descriptions of the programs just listed for more information.
It is also possible, beginning with NDB 8.0.22, to enforce encryption of backups by setting
[ndbd default]section of the cluster global configuration file. When this is done, the ndb_mgm client rejects any attempt to perform a backup that is not encrypted.
Beginning with NDB 8.0.24, you can cause ndb_mgm to use encryption whenever it creates a backup by starting it with
--encrypt-backup. In this case, the user is prompted for a password when invoking
START BACKUPif none is supplied.
IPv6 support. Beginning with NDB 8.0.22, IPv6 addressing is supported for connections to management and data nodes; this includes connections between management and data nodes with SQL nodes. When configuring a cluster, you can use numeric IPv6 addresses, host names which resolve to IPv6 addresses or both.
For IPv6 addressing to work, the operating platform and network on which the cluster is deployed must support IPv6. As when using IPv4 addressing, hostname resolution to IPv6 addresses must be provided by the operating platform.
IPv4 addressing continues to be supported by
NDB. Using IPv4 and IPv6 addresses concurrently is not recommended, but can be made to work in the following cases:
When the management node is configured with IPv6 and data nodes are configured with IPv4 addresses in the
config.inifile: This works if
--bind-addressis not used with mgmd, and data nodes are started with
--ndb-connectstringset to the IPv4 address of the management nodes.
When the management node is configured with IPv4 and data nodes are configured with IPv6 addresses in
config.ini: Similarly to the other case, this works if
--bind-addressis not passed to mgmd and data nodes are started with
--ndb-connectstringset to the IPv6 address of the management node.
These cases work because ndb_mgmd does not bind to any IP address by default.
To perform an upgrade from a version of
NDBthat does not support IPv6 addressing to one that does, provided that the network supports IPv4 and IPv6, first perform the software upgrade; after this has been done, you can update IPv4 addresses used in the
config.inifile with IPv6 addresses. After this, to cause the configuration changes to take effect and to make the cluster start using the IPv6 addresses, it is necessary to perform a system restart of the cluster.
Auto-Installer deprecation and removal. The MySQL NDB Cluster Auto-Installer web-based installation tool (ndb_setup.py) is deprecated in NDB 8.0.22, and is removed in NDB 8.0.23 and later. It is no longer supported.
ndbmemcache deprecation and removal.
ndbmemcacheis no longer supported.
ndbmemcachewas deprecated in NDB 8.0.22, and removed in NDB 8.0.23.
ndbinfo backup_id table. NDB 8.0.24 adds a
backup_idtable to the
ndbinfoinformation database. This is intended to serve as a replacement for obtaining this information by using ndb_select_all to dump the contents of the internal
SYSTAB_0table, which is error-prone and takes an excessively long time to perform.
This table has a single column and row containing the ID of the most recent backup of the cluster taken using the
START BACKUPmanagement client command. In the event that no backup of this cluster can be found, the table contains a single row whose column value is
Table partitioning enhancements. NDB 8.0.23 introduces a new method for handling table partitions and fragments, which can determine the number of local data managers (LDMs) for a given data node independently of the number of redo log parts. This means that the number of LDMs can now be highly variable.
NDBcan employ this method when the
ClassicFragmentationdata node configuration parameter, also implemented in NDB 8.0.23, is set to
false; when this is the case, the number of LDMs is no longer used to determine how many partitions to create for a table per data node, and the value of the
PartitionsPerNodeparameter (also introduced in NDB 8.0.23) determines this number instead, which is also used for calculating the number of fragments used for a table.
ClassicFragmentationhas its default value
true, then the traditional method of using the number of LDMs is used to determine the number of fragments that a table should have.
For more information, see the descriptions of the new parameters referenced previously, in Multi-Threading Configuration Parameters (ndbmtd).
Terminology updates. To align with work begun in MySQL 8.0.21 and NDB 8.0.21, NDB 8.0.23 implements a number of changes in terminology, listed here:
NDBstatus variables are deprecated. These variables, and their replacements, are shown in the following table:
Table 23.1 Deprecated NDB status variables and their replacements
The deprecated status variables continue to be shown in the output of
SHOW STATUS, but applications should be updated as soon as possible not to rely upon them any longer, since their availability in future release series is not guaranteed.
ADD_TABLE_SLAVEpreviously shown in the
tab_copy_statuscolumn of the
ndbinfo.table_distribution_statustable are deprecated. These are replaced by, respectively, the values
--helpoutput of some
NDBclient and utility programs such as ndb_restore has been modified.
ThreadConfig enhancements. As of NDB 8.0.23, the configurability of the
ThreadConfigparameter has been extended with two new thread types, listed here:
query: A query thread works (only) on
READ COMMITTEDqueries. A query thread also acts as a recovery thread. The number of query threads must be 0, 1, 2, or 3 times the number of LDM threads. 0 (the default, unless using
AutomaticThreadConfigis enabled) causes LDMs to behave as they did prior to NDB 8.0.23.
recover: A recovery thread retrieves data from a local checkpoint. A recovery thread specified as such never acts as a query thread.
It is also possible to combine the existing
repthreads in either of two ways:
Into a single thread by setting either one of these arguments to 0. When this is done, the resulting combined thread is shown with the name
Together with the
recvthread by setting both
tcto 0, and setting
recvto 1. In this case, the combined thread is named
In addition, the maximum numbers of a number of existing thread types have been increased. The new maximums, including those for query threads and recovery threads, are listed here:
Maximums for other thread types remain unchanged.
Also, as the result of work done relating to this task,
NDBnow employs mutexes to protect job buffers when using more than 32 block threads. While this can cause a slight decrease in performance (1 to 2 percent in most cases), it also significantly reduces the amount of memory required by very large configurations. For example, a setup with 64 threads which used 2 GB of job buffer memory prior to NDB 8.0.23 should require only about 1 GB instead in NDB 8.0.23 and later. In our testing this has resulted in an overall improvement on the order of 5 percent in the execution of very complex queries.
ThreadConfig thread count changes. As the result of work done in NDB 8.0.30, setting the value of
ThreadConfigvalue string explicitly, in this and subsequent NDB Cluster releases. In addition,
count=0must be set explicitly for each thread type (of
ldm) that is not to be used, and setting
count=1for replication threads (
rep) requires also setting
These changes can have a significant impact on upgrades of NDB clusters where this parameter is in use; see Section 23.3.7, “Upgrading and Downgrading NDB Cluster”, for more information.
ndbmtd Thread Auto-Configuration. Beginning with NDB 8.0.23, it is possible to employ automatic configuration of threads for multi-threaded data nodes using the ndbmtd configuration parameter
AutomaticThreadConfig. When this parameter is set to 1,
NDBsets up thread assignments automatically, based on the number of processors available to applications, for all thread supported thread types, including the new
recoverthread types described in the previous item. If the system does not limit the number of processors, you can do so if desired by setting
NumCPUs(also added in NDB 8.0.23). Otherwise, automatic thread configuration accommodates up to 1024 CPUs.
In addition, NDB 8.0.23 implements a number of new
ndbinfoinformation database tables providing information about hardware and CPU availability, as well as CPU usage by
NDBdata nodes. These tables are listed here:
Some of these tables are not available on every platform supported by NDB Cluster; see the individual descriptions of them for more information.
Hierarchical views of NDB database objects. The
dict_obj_treetable, added to the
ndbinfoinformation database in NDB 8.0.24, can provide hierarchical and tree-like views of many
NDBdatabase objects, including the following:
Tables and associated indexes
Tablespaces and associated data files
Logfile groups and associated undo log files
For more information and examples, see Section 22.214.171.124, “The ndbinfo dict_obj_tree Table”.
Index statistics enhancements. NDB 8.0.24 implements the following improvements in calculation of index statistics:
Index statistics were previously collected from one fragment only; this is changed such that this extrapolation is extended to additional fragments.
The algorithm used for very small tables, such as those having very few rows where results are discarded, has been improved, so that estimates for such tables should be more accurate than previously.
As of NDB 8.0.27, the index statistics tables are created and updated automatically by default,
IndexStatAutoUpdateboth default to
1(enabled) rather than
0(disabled), and it is no longer necessary to run
ANALYZE TABLEto update the statistics.
For additional information, see Section 23.6.14, “NDB API Statistics Counters and Variables”.
Conversion between NULL and NOT NULL during restore operations. Beginning with NDB 8.0.26, ndb_restore can support restoring of
NOT NULLand the reverse, using the options listed here:
For more information, see the descriptions of the indicated ndb_restore options.
SQL-compliant NULL comparison mode for NdbScanFilter. Traditionally, when making comparisons involving
NULLas equal to
NULL(and thus considers
NULL == NULLto be
TRUE). This is not the same as specified by the SQL Standard, which requires that any comparison with
NULL == NULL.
Previously, it was not possible for an NDB API application to override this behavior; beginning with NDB 8.0.26, you can do so by calling
NdbScanFilter::setSqlCmpSemantics()prior to creating a scan filter. (Thus, this method is always invoked as a class method and not as an instance method.) Doing so causes the next
NdbScanFilterobject to be created to employ SQL-compliant
NULLcomparison for all comparison operations performed over the lifetime of the instance. You must invoke the method for each
NdbScanFilterobject that should use SQL-compliant comparisons.
For more information, see NdbScanFilter::setSqlCmpSemantics().
Deprecation of NDB API .FRM file methods. MySQL 8.0 and NDB 8.0 no longer use
.FRMfiles for storing table metadata. For this reason, the NDB API methods
setFrm()are deprecated as of NDB 8.0.27, and subject to removal in a future release. For reading and writing table metadata, use
Preference for IPv4 or IPv6 addressing. NDB 8.0.26 adds the
PreferIPVersionconfiguration parameter, which controls the addressing preference for DNS resolution. IPv4 (
PreferIPVersion=4) is the default. Because configuration retrieval in NDB requires that this preference be the same for all TCP connections, you should set it only in the
[tcp default]section of the cluster global configuration (
See Section 126.96.36.199, “NDB Cluster TCP/IP Connections”, for more information.
Logging enhancements. Previously, analysis of NDB Cluster data node and management node logs could be hampered by the fact that different log messages used different formats, and that not all log messages included timestamps. Such issues were due in part to the fact that logging was performed by a number of different mechanisms, such as the functions
ndbout_c, overloading of the
<<operator, and so on.
We fix these problems by standardizing on the
EventLoggermechanism, which is already present in
NDB, and which begins each log message with a timestamp in
See Section 23.6.3, “Event Reports Generated in NDB Cluster”, for more information about NDB Cluster event logs and the
EventLoggerlog message format.
Copying ALTER TABLE improvements. Beginning with NDB 8.0.27, a copying
ALTER TABLEon an
NDBtable compares the fragment commit counts for the source table before and after performing the copy. This allows the SQL node executing this statement to determine whether there has been any concurrent write activity to the table being altered; if so, the SQL node can then terminate the operation.
When concurrent writes are detected being made to the table being altered, the
ALTER TABLEstatement is rejected with the error Detected change to data in source table during copying ALTER TABLE. Alter aborted to avoid inconsistency (
ER_TABLE_DEF_CHANGED). Stopping the alter operation, rather than allowing it to proceed with concurrent writes taking place, can help prevent silent data loss or corruption.
ndbinfo index_stats table. NDB 8.0.28 adds the
index_statstable, which provides basic information about NDB index statistics. It is intended primarily for internal testing, but may be useful as a supplement to ndb_index_stat.
ndb_import --table option. Prior to NDB 8.0.28, ndb_import always imported the data read from a CSV file into a table whose name was derived from the name of the file being read. NDB 8.0.28 adds a
--tableoption (short form:
-t) for this program to specify the name of the target table directly, and override the previous behavior.
The default behavior for ndb_import remains to use the base name of the input file as the name of the target table.
ndb_import --missing-ai-column option. Beginning with NDB 8.0.29, ndb_import can import data from a CSV file that contains empty values for an
AUTO_INCREMENTcolumn, using the
--missing-ai-columnoption introduced in that release. The option can be used with one or more tables containing such a column.
In order for this option to work, the
AUTO_INCREMENTcolumn in the CSV file must not contain any values. Otherwise, the import operation cannot proceed.
ndb_import and empty lines. ndb_import has always rejected any empty lines encountered in an incoming CSV file. NDB 8.0.30 adds support for importing empty lines into a single column, provided that it is possible to convert the empty value into a column value.
ndb_restore --with-apply-status option. Beginning with NDB 8.0.29, it is possible to restore the
ndb_apply_statustable from an
NDBbackup, using ndb_restore with the
--with-apply-statusoption added in that release. To use this option, you must also use
--restore-datawhen invoking ndb_restore.
--with-apply-statusrestores all rows of the
ndb_apply_statustable except for the row having
server_id = 0; to restore this row, use
--restore-epoch. For more information, see ndb_apply_status Table, as the description of the
SQL access to tables with missing indexes. Prior to NDB 8.0.29, when a user query attempted to open an
NDBtable with a missing or broken index, the MySQL server raised
4243(Index not found). This situation could arise when constraint violations or missing data make it impossible to restore an index on an
NDBtable, and ndb_restore
--disable-indexeswas used to restore the data without the index.
Beginning with NDB 8.0.29, an SQL query against an
NDBtable which has missing indexes succeeds if the query does not use any of the missing indexes. Otherwise, the query is rejected with
ER_NOT_KEYFILE. In this case, you can use
ALTER TABLE ... ALTER INDEX ... INVISIBLEto keep the MySQL Optimizer from trying to use the index, or drop the index (and then possibly re-create it) using the appropriate SQL statements.
NDB API List::clear() method. The NDB API
listObjects()each require a reference to a
Listobject which is empty. Previously, reusing an existing
Listwith any of these methods was problematic for this reason. NDB 8.0.29 makes this easier by implementing a
clear()method which removes all data from the list.
As part of this work, the
Listclass destructor now calls
List::clear()before removing any elements or attributes from the list.
NDB dictionary tables in ndbinfo. NDB 8.0.29 introduces several new tables in the
ndbinfodatabase providing information from
NdbDictionarythat previously required the use of ndb_desc, ndb_select_all, and other NDB utility programs.
Two of these tables are actually views. The
hash_mapstable provides information about hash maps used by
filestable shows information regarding files used for storing data on disk (see Section 23.6.10, “NDB Cluster Disk Data Tables”).
The remaining six
ndbinfotables added in NDB 8.0.29 are base tables. These tables are not hidden and are not named using the prefix
ndb$. These tables are listed here, with descriptions of the objects represented in each table:
NDB 8.0.29 also makes changes in the
ndbinfostorage engine's implementation of primary keys to improve compatibility with
ndbcluster plugin and Performance Schema. As of NDB 8.0.29,
ndbclusterplugin threads are shown in the Performance Schema
setup_threadstables, making it possible to obtain information about the performance of these threads. The three threads exposed in
performance_schematables are listed here:
ndb_binlog: Binary logging thread
ndb_index_stat: Index statistics thread
ndb_metadata: Metadata thread
See ndbcluster Plugin Threads, for more information and examples.
In NDB 8.0.30 and later, transaction batching memory usage is visible as
memory/ndbcluster/Thd_ndb::batch_mem_rootin the Performance Schema
setup_instrumentstables. You can use this information to see how much memory is being used by transactions. For additional information, see Transaction Memory Usage.
Configurable blob inline size. Beginning with NDB 8.0.30, it is possible to set a blob column's inline size as part of
ALTER TABLE. The maximum inline size supported by NDB Cluster is 29980 bytes.
replica_allow_batching enabled by default. Replica write batching improves NDB Cluster Replication performance greatly, especially when replicating blob-type columns (
JSON), and so generally should be enabled whenever using replication with NDB Cluster. For this reason, beginning with NDB 8.0.30, the
replica_allow_batchingsystem variable is enabled by default, and setting it to
OFFraises a warning.
Conflict resolution insert operation support. Prior to NDB 8.0.30, there were only two strategies available for resolving primary key conflicts for update and delete operations, implemented as the functions
NDB$MAX_DELETE_WIN(). Neither of these has any effect on write operations, other than that a write operation with the same primary key as a previous write is always rejected, and accepted and applied only if no operation having the same primary key already exists. NDB 8.0.30 introduces two new conflict resolution functions
NDB$MAX_DEL_WIN_INS()that handle primary key conflicts between insert operations. These functions handle conflicting writes as follows:
If there is no conflicting write, apply this one (this is the same as
Otherwise, apply “greatest timestamp wins” conflict resolution, as follows:
If the timestamp for the incoming write is greater than that of the conflicting write, apply the incoming operation.
If the timestamp for the incoming write is not greater, reject the incoming write operation.
This enhancement provides support for configuring conflict detection when handling conflicting replicated write operations, so that a replicated
INSERTwith a higher timestamp column value is applied idempotently, while a replicated
INSERTwith a lower timestamp column value is rejected.
As with the other conflict resolution functions, rejected operations can optionally be logged in an exceptions table; rejected operations increment a counter (status variables
Ndb_conflict_fn_maxfor “greatest timestamp wins” and
Ndb_conflict_fn_oldfor “same timestamp wins”).
For more information, see the descriptions of the new conflict resolution functions, and as well as Section 23.7.11, “NDB Cluster Replication Conflict Resolution”.
Replication applier batch size control. Previously, the size of batches used when writing to a replica NDB Cluster was controlled by
--ndb-batch-size, and the batch size used for writing blob data to the replica was determined by
ndb-blob-write-batch-bytes. One problem with this arrangement was that the replica used the global values of these variables which meant that changing either of them for the replica also affected the value used by all other sessions. In addition, it was not possible to set different defaults for these values exclusive to the replica, which should preferably have a higher default value than other sessions.
NDB 8.0.30 adds two new system variables which are specific to the replica applier.
ndb_replica_batch_sizenow controls the batch size used for the replica applier, and
ndb_replica_blob_write_batch_bytesvariable now determines the blob write batch size used to perform batch blob writes on the replica.
This change should improve the behavior of MySQL NDB Cluster Replication using default settings, and lets the user fine tune NDB replication performance without affecting user threads, such as those performing processing of SQL queries.
For more information, see the descriptions of the new variables. See also Section 23.7.5, “Preparing the NDB Cluster for Replication”.
Binary Log Transaction Compression. NDB 8.0.31 adds support for binary logs using compressed transactions with
ZSTDcompression. To enable this feature, set the
ndb_log_transaction_compressionsystem variable introduced in this release to
ON. The level of compression used can be controlled using the
ndb_log_transaction_compression_level_zstdsystem variable, which is also added in that release; the default compression level is 3.
binlog_transaction_compression_level_zstdserver system variables have no effect on binary logging of
NDBtables, starting mysqld with
ndb_log_transaction_compressionto be enabled automatically. You can disable it in a MySQL client session using
SET @@global.ndb_log_transaction_compression=OFFafter server startup has completed.
See the description of
ndb_log_transaction_compressionas well as Section 188.8.131.52, “Binary Log Transaction Compression”, for more information.
Changes in build options. NDB 8.0.31 makes the following changes in CMake options used for building MySQL Cluster.
See CMake Options for Compiling NDB Cluster, for more information.
File system encryption. Transparent Data Encryption (TDE) provides protection by encryption of
NDBdata at rest, that is, of all
NDBtable data and log files which are persisted to disk. This is intended to protect against recovering data after obtaining unauthorized access to NDB Cluster data files such as tablespace files or logs.
Encryption is implemented transparently by the NDB file system layer (
NDBFS) on the data nodes; data is encrypted and decrypted as it is read from and written to the file, and
NDBFSinternal client blocks operate on files as normal.
NDBFScan transparently encrypt a file directly from a user provided password, but decoupling the encryption and decryption of individual files from the user provided password can be advantageous for reasons of efficiency, usability, security, and flexibility. See Section 184.108.40.206, “NDB File System Encryption Implementation”.
TDE uses two types of keys. A secret key is used to encrypt the actual data and log files stored on disk (including LCP, redo, undo, and tablespace files). A master key is then used to encrypt the secret key.
EncryptedFileSystemdata node configuration parameter, available beginning with NDB 8.0.29, when set to
1, enforces encryption on files storing table data. This includes LCP data files, redo log files, tablespace files, and undo log files. When using file system encryption, you must also set
It is also necessary to provide a password to each data node when starting or restarting it, using one of the options
--filesystem-password-from-stdin. See Section 220.127.116.11, “NDB File System Encryption Setup and Usage”. This password uses the same format and is subject to the same constraints as the password used for an encrypted
NDBbackup (see the description of the ndb_restore
--backup-passwordoption for details).
Only tables using the
NDBstorage engine are subject to encryption by this feature; see Section 18.104.22.168, “NDB File System Encryption Limitations”. Other tables, such as those used for
NDBschema distribution, replication, and binary logging, typically use
InnoDB; see Section 15.13, “InnoDB Data-at-Rest Encryption”. For information about encryption of binary log files, see Section 17.3.2, “Encrypting Binary Log Files and Relay Log Files”.
Files generated or used by
NDBprocesses, such as operating system logs, crash logs, and core dumps, are not encrypted. Files used by
NDBbut not containing any user table data are also not encrypted; these include LCP control files, schema files, and system files (see NDB Cluster Data Node File System). The management server configuration cache is also not encrypted.
In addition, NDB 8.0.31 adds a new utility ndb_secretsfile_reader for extracting key information from encrypted files.
This enhancement builds on work done in NDB 8.0.22 to implement encrypted
NDBbackups. For more information about encrypted backups, see the description of the
RequireEncryptedBackupconfiguration parameter, as well as Section 22.214.171.124, “Using The NDB Cluster Management Client to Create a Backup”.Note
Upgrading an encrypted filesystem to NDB 8.0.31 or later from a previous release requires a rolling initial restart of the data nodes, due to improvements in key handling.
MySQL Cluster Manager 1.4.8 also provides experimental support for NDB Cluster 8.0. MySQL Cluster Manager has an advanced command-line interface that can simplify many complex NDB Cluster management tasks. See MySQL Cluster Manager 1.4.8 User Manual, for more information.