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On September 18, , President Harry S. The newly-formed Air Force began assuming activities with nuclear research laboratories as the Cold War tensions with the Soviet Union was rising.

It assumed all functions of the World War II Atomic Tactical and Technical Liaison Committees, its mission was to provide an organization for the development and testing of atomic weapons.

The nucleus of this organization was composed of the pioneering Air Force agencies which had located there to determine future employment of nuclear weapons.

The mission was to provide an organization for development testing of special weapons, including atomic, biological, and chemical weapons, and to increase the efficiency of airborne vehicles to carry these weapons.

The command was also directed to provide personnel and equipment for development and proof testing of aircraft equipment and ground handling appurtenance to special weapons.

SWC served as the primary source for scientific and technical information on special weapons development. SWC units at Kirtland in were: [1].

It appears that the st Special Weapons Wing had administrative control over the groups, with the th Maintenance and Supply Group and the th Air Base Group serving as support and the base host, respectively, while the th Special Weapons Group was the group actively involved with atomic testing.

In January , President Truman directed the Atomic Energy Commission to emphasize thermonuclear research, with the prime objective to become operational in delivering hydrogen bombs.

The th Special Weapons Group was a mix of elite U. Its mission was to ensure the atomic capability of aircraft and missiles. During the s, assigned personnel and aircraft participated in atmospheric nuclear tests in Nevada and the Pacific Proving Grounds.

The first Air Force scientific capabilities at the base were created during the mids. Biophysicists deliberately flew aircraft through nuclear clouds to determine radiation hazards.

Engineers also launched sounding rockets so physicists could study the effects of high-altitude nuclear explosions and the nature of the recently discovered Van Allen radiation belts around the Earth.

By default, each index so defined also defines an ordered index. Each unique index and primary key has both an ordered index and a hash index.

MaxNoOfOrderedIndexes sets the total number of ordered indexes that can be in use in the system at any one time. Each index object consumes approximately 10KB of data per node.

For each unique index that is not a primary key, a special table is allocated that maps the unique key to the primary key of the indexed table.

By default, an ordered index is also defined for each unique index. The default value is Each index consumes approximately 15KB per node.

Internal update, insert, and delete triggers are allocated for each unique hash index. This means that three triggers are created for each unique hash index.

However, an ordered index requires only a single trigger object. Backups also use three trigger objects for each normal table in the cluster.

This parameter sets the maximum number of trigger objects in the cluster. This parameter is deprecated in NDB 7.

This parameter is used only by unique hash indexes. There needs to be one record in this pool for each unique hash index defined in the cluster.

Each subscription consumes bytes. Each subscriber uses 16 bytes of memory. When using circular replication, multi-source replication, and other replication setups involving more than 2 MySQL servers, you should increase this parameter to the number of mysqld processes included in replication this is often, but not always, the same as the number of clusters.

This parameter sets a ceiling on the number of operations that can be performed by all API nodes in the cluster at one time.

The default value is sufficient for normal operations, and might need to be adjusted only in scenarios where there are a great many API nodes each performing a high volume of operations concurrently.

Boolean parameters. The behavior of data nodes is also affected by a set of [ndbd] parameters taking on boolean values. Allocate memory for this data node after a connection to the management server has been established.

Enabled by default. For a number of operating systems, including Solaris and Linux, it is possible to lock a process into memory and so avoid any swapping to disk.

This can be used to help guarantee the cluster's real-time characteristics. This parameter takes one of the integer values 0 , 1 , or 2 , which act as shown in the following list:.

If the operating system is not configured to permit unprivileged users to lock pages, then the data node process making use of this parameter may have to be run as system root.

LockPagesInMainMemory uses the mlockall function. From Linux kernel 2. NDB Cluster 7. Beginning with glibc 2. In general, a data node process does not need per-thread arenas, since it does not perform any memory allocation after startup.

This difference in allocators does not appear to affect performance significantly. This parameter specifies whether a data node process should exit or perform an automatic restart when an error condition is encountered.

This parameter's default value is 1; this means that, by default, an error causes the data node process to halt. When an error is encountered and StopOnError is 0, the data node process is restarted.

Prior to NDB Cluster 7. Thus, if the data node process was originally started using the --initial option, it is also restarted with --initial.

This means that, in such cases, if the failure occurs on a sufficient number of data nodes in a very short interval, the effect is the same as if you had performed an initial restart of the entire cluster, leading to loss of all data.

This issue is resolved in NDB Cluster 7. See Starting and Stopping the Agent on Linux , for more information.

When this parameter is enabled, it forces a data node to shut down whenever it encounters a corrupted tuple. It is possible to specify NDB Cluster tables as diskless , meaning that tables are not checkpointed to disk and that no logging occurs.

Such tables exist only in main memory. A consequence of using diskless tables is that neither the tables nor the records in those tables survive a crash.

However, when operating in diskless mode, it is possible to run ndbd on a diskless computer. This feature causes the entire cluster to operate in diskless mode.

When this feature is enabled, Cluster online backup is disabled. In addition, a partial start of the cluster is not possible.

Diskless is disabled by default. ODirect is disabled by default. This feature is accessible only when building the debug version where it is possible to insert errors in the execution of individual blocks of code as part of testing.

Enabling this parameter causes backup files to be compressed. Compressed backups can be enabled for individual data nodes, or for all data nodes by setting this parameter in the [ndbd default] section of the config.

You cannot restore a compressed backup to a cluster running a MySQL version that does not support this feature.

Setting this parameter to 1 causes local checkpoint files to be compressed. Compressed LCPs can be enabled for individual data nodes, or for all data nodes by setting this parameter in the [ndbd default] section of the config.

You cannot restore a compressed local checkpoint to a cluster running a MySQL version that does not support this feature. There are a number of [ndbd] parameters specifying timeouts and intervals between various actions in Cluster data nodes.

Most of the timeout values are specified in milliseconds. Any exceptions to this are mentioned where applicable. This parameter specifies the number of milliseconds between checks.

If the process remains in the same state after three checks, the watchdog thread terminates it. This parameter can easily be changed for purposes of experimentation or to adapt to local conditions.

It can be specified on a per-node basis although there seems to be little reason for doing so. This is similar to the TimeBetweenWatchDogCheck parameter, except that TimeBetweenWatchDogCheckInitial controls the amount of time that passes between execution checks inside a storage node in the early start phases during which memory is allocated.

This parameter specifies how long the Cluster waits for all data nodes to come up before the cluster initialization routine is invoked.

This timeout is used to avoid a partial Cluster startup whenever possible. This parameter is overridden when performing an initial start or initial restart of the cluster.

The default value is milliseconds 30 seconds. If the cluster is ready to start after waiting for StartPartialTimeout milliseconds but is still possibly in a partitioned state, the cluster waits until this timeout has also passed.

If StartPartitionedTimeout is set to 0, the cluster waits indefinitely. If a data node has not completed its startup sequence within the time specified by this parameter, the node startup fails.

Setting this parameter to 0 the default value means that no data node timeout is applied. For nonzero values, this parameter is measured in milliseconds.

For data nodes containing extremely large amounts of data, this parameter should be increased. When that is done, the cluster waits StartNoNodegroupTimeout milliseconds, then treats such nodes as though they had been added to the list passed to the --nowait-nodes option, and starts.

The default value is that is, the management server waits 15 seconds. Setting this parameter equal to 0 means that the cluster waits indefinitely. StartNoNodegroupTimeout must be the same for all data nodes in the cluster; for this reason, you should always set it in the [ndbd default] section of the config.

One of the primary methods of discovering failed nodes is by the use of heartbeats. This parameter states how often heartbeat signals are sent and how often to expect to receive them.

Heartbeats cannot be disabled. After missing four heartbeat intervals in a row, the node is declared dead. Thus, the maximum time for discovering a failure through the heartbeat mechanism is five times the heartbeat interval.

This parameter must not be changed drastically and should not vary widely between nodes. If one node uses milliseconds and the node watching it uses milliseconds, obviously the node will be declared dead very quickly.

This parameter can be changed during an online software upgrade, but only in small increments. See also Network communication and latency , as well as the description of the ConnectCheckIntervalDelay configuration parameter.

The three-heartbeat criteria for this determination are the same as described for HeartbeatIntervalDbDb. The default interval is milliseconds 1.

This interval can vary between individual data nodes because each data node watches the MySQL servers connected to it, independently of all other data nodes.

For more information, see Network communication and latency. Data nodes send heartbeats to one another in a circular fashion whereby each data node monitors the previous one.

The determination that a data node is dead is done globally; in other words; once a data node is declared dead, it is regarded as such by all nodes in the cluster.

It is possible for heartbeats between data nodes residing on different hosts to be too slow compared to heartbeats between other pairs of nodes for example, due to a very low heartbeat interval or temporary connection problem , such that a data node is declared dead, even though the node can still function as part of the cluster.

In this type of situation, it may be that the order in which heartbeats are transmitted between data nodes makes a difference as to whether or not a particular data node is declared dead.

If this declaration occurs unnecessarily, this can in turn lead to the unnecessary loss of a node group and as thus to a failure of the cluster.

Consider a setup where there are 4 data nodes A, B, C, and D running on 2 host computers host1 and host2 , and that these data nodes make up 2 node groups, as shown in the following table:.

In this case, the loss of the heartbeat between the hosts causes node B to declare node A dead and node C to declare node B dead. This results in loss of Node Group 0, and so the cluster fails.

The HeartbeatOrder configuration parameter makes the order of heartbeat transmission user-configurable. The default value for HeartbeatOrder is zero; allowing the default value to be used on all data nodes causes the order of heartbeat transmission to be determined by NDB.

If this parameter is used, it must be set to a nonzero value maximum for every data node in the cluster, and this value must be unique for each data node; this causes the heartbeat transmission to proceed from data node to data node in the order of their HeartbeatOrder values from lowest to highest and then directly from the data node having the highest HeartbeatOrder to the data node having the lowest value, to complete the circle.

The values need not be consecutive. To use this parameter to change the heartbeat transmission order in a running NDB Cluster, you must first set HeartbeatOrder for each data node in the cluster in the global configuration config.

To cause the change to take effect, you must perform either of the following:. All nodes must be restarted in the same order in both rolling restarts.

You can use DUMP to observe the effect of this parameter in the data node logs. This parameter enables connection checking between data nodes after one of them has failed heartbeat checks for 5 intervals of up to HeartbeatIntervalDbDb milliseconds.

Such a data node that further fails to respond within an interval of ConnectCheckIntervalDelay milliseconds is considered suspect, and is considered dead after two such intervals.

This can be useful in setups with known latency issues. This parameter is an exception in that it does not specify a time to wait before starting a new local checkpoint; rather, it is used to ensure that local checkpoints are not performed in a cluster where relatively few updates are taking place.

In most clusters with high update rates, it is likely that a new local checkpoint is started immediately after the previous one has been completed.

The size of all write operations executed since the start of the previous local checkpoints is added.

All the write operations in the cluster are added together. Setting TimeBetweenLocalCheckpoints to 6 or less means that local checkpoints will be executed continuously without pause, independent of the cluster's workload.

When a transaction is committed, it is committed in main memory in all nodes on which the data is mirrored.

However, transaction log records are not flushed to disk as part of the commit. The reasoning behind this behavior is that having the transaction safely committed on at least two autonomous host machines should meet reasonable standards for durability.

It is also important to ensure that even the worst of cases—a complete crash of the cluster—is handled properly. To guarantee that this happens, all transactions taking place within a given interval are put into a global checkpoint, which can be thought of as a set of committed transactions that has been flushed to disk.

In other words, as part of the commit process, a transaction is placed in a global checkpoint group. Later, this group's log records are flushed to disk, and then the entire group of transactions is safely committed to disk on all computers in the cluster.

This parameter defines the interval between global checkpoints. The default is milliseconds. This parameter defines the minimum timeout between global checkpoints.

The default value is milliseconds. If a node fails to participate in a global checkpoint within the time determined by this parameter, the node is shut down.

The current value of this parameter and a warning are written to the cluster log whenever a GCP save takes longer than 1 minute or a GCP commit takes longer than 10 seconds.

Setting this parameter to zero has the effect of disabling GCP stops caused by save timeouts, commit timeouts, or both. The maximum possible value for this parameter is milliseconds.

The number of unprocessed epochs by which a subscribing node can lag behind. Exceeding this number causes a lagging subscriber to be disconnected.

The default value of is sufficient for most normal operations. If a subscribing node does lag enough to cause disconnections, it is usually due to network or scheduling issues with regard to processes or threads.

In rare circumstances, the problem may be due to a bug in the NDB client. It may be desirable to set the value lower than the default when epochs are longer.

Disconnection prevents client issues from affecting the data node service, running out of memory to buffer data, and eventually shutting down.

Instead, only the client is affected as a result of the disconnect by, for example gap events in the binary log , forcing the client to reconnect or restart the process.

Timeout handling is performed by checking a timer on each transaction once for every interval specified by this parameter.

Thus, if this parameter is set to milliseconds, every transaction will be checked for timing out once per second. This parameter states the maximum time that is permitted to lapse between operations in the same transaction before the transaction is aborted.

The default for this parameter is 4G also the maximum. For a real-time database that needs to ensure that no transaction keeps locks for too long, this parameter should be set to a relatively small value.

Setting it to 0 means that the application never times out. The unit is milliseconds. When a node executes a query involving a transaction, the node waits for the other nodes in the cluster to respond before continuing.

This parameter sets the amount of time that the transaction can spend executing within a data node, that is, the time that the transaction coordinator waits for each data node participating in the transaction to execute a request.

The node requested to perform the action could be heavily overloaded. This timeout parameter states how long the transaction coordinator waits for query execution by another node before aborting the transaction, and is important for both node failure handling and deadlock detection.

This is the maximum number of bytes to store before flushing data to a local checkpoint file. This is done to prevent write buffering, which can impede performance significantly.

This parameter is not intended to take the place of TimeBetweenLocalCheckpoints. When ODirect is enabled, it is not necessary to set DiskSyncSize ; in fact, in such cases its value is simply ignored.

The amount of data, in bytes per second, that is sent to disk during a local checkpoint. This allocation is shared by DML operations and backups but not backup logging , which means that backups started during times of intensive DML may be impaired by flooding of the redo log buffer and may fail altogether if the contention is sufficiently severe.

The amount of data, in bytes per second, that is sent to disk during a local checkpoint as part of a restart operation. This parameter is deprecated and subject to removal in a future version of NDB Cluster.

Beginning with NDB 7. Set the maximum rate for writing to disk, in bytes per second, by local checkpoints and backup operations when no restarts by this data node or any other data node are taking place in this NDB Cluster.

For setting the maximum rate of disk writes allowed while this data node is restarting, use MaxDiskWriteSpeedOwnRestart. Set the maximum rate for writing to disk, in bytes per second, by local checkpoints and backup operations when one or more data nodes in this NDB Cluster are restarting, other than this node.

For setting the maximum rate of disk writes allowed when no data nodes are restarting anywhere in the cluster, use MaxDiskWriteSpeed.

Set the maximum rate for writing to disk, in bytes per second, by local checkpoints and backup operations while this data node is restarting.

Set the minimum rate for writing to disk, in bytes per second, by local checkpoints and backup operations. See the descriptions of these parameters for more information.

This parameter specifies how long data nodes wait for a response from the arbitrator to an arbitration message. If this is exceeded, the network is assumed to have split.

The Arbitration parameter enables a choice of arbitration schemes, corresponding to one of 3 possible values for this parameter:. This enables arbitration to proceed normally, as determined by the ArbitrationRank settings for the management and API nodes.

When Arbitration is set in this way, any ArbitrationRank settings are ignored. The Arbitration parameter also makes it possible to configure arbitration in such a way that the cluster waits until after the time determined by ArbitrationTimeout has passed for an external cluster manager application to perform arbitration instead of handling arbitration internally.

For best results with the WaitExternal setting, it is recommended that ArbitrationTimeout be 2 times as long as the interval required by the external cluster manager to perform arbitration.

This parameter should be used only in the [ndbd default] section of the cluster configuration file. The behavior of the cluster is unspecified when Arbitration is set to different values for individual data nodes.

This parameter determines the time that a data node waits for subscribing API nodes to connect. To disable this timeout, set RestartSubscriberConnectTimeout to 0.

While this parameter is specified in milliseconds, the timeout itself is resolved to the next-greatest whole second.

Buffering and logging. Several [ndbd] configuration parameters enable the advanced user to have more control over the resources used by node processes and to adjust various buffer sizes at need.

These buffers are used as front ends to the file system when writing log records to disk. The UNDO index buffer, whose size is set by this parameter, is used during local checkpoints.

To produce a consistent checkpoint without blocking the entire system for writes, UNDO logging is done while performing the local checkpoint.

UNDO logging is activated on a single table fragment at a time. This optimization is possible because tables are stored entirely in main memory.

The UNDO index buffer is used for the updates on the primary key hash index. Inserts and deletes rearrange the hash index; the NDB storage engine writes UNDO log records that map all physical changes to an index page so that they can be undone at system restart.

It also logs all active insert operations for each fragment at the start of a local checkpoint. Reads and updates set lock bits and update a header in the hash index entry.

These changes are handled by the page-writing algorithm to ensure that these operations need no UNDO logging.

This buffer is 2MB by default. The minimum value is 1MB, which is sufficient for most applications. For applications doing extremely large or numerous inserts and deletes together with large transactions and large primary keys, it may be necessary to increase the size of this buffer.

It is not safe to decrease the value of this parameter during a rolling restart. This buffer is used during the local checkpoint phase of a fragment for inserts, deletes, and updates.

Because UNDO log entries tend to grow larger as more operations are logged, this buffer is also larger than its index memory counterpart, with a default value of 16MB.

This amount of memory may be unnecessarily large for some applications. In such cases, it is possible to decrease this size to a minimum of 1MB.

It is rarely necessary to increase the size of this buffer. If there is such a need, it is a good idea to check whether the disks can actually handle the load caused by database update activity.

A lack of sufficient disk space cannot be overcome by increasing the size of this buffer. All update activities also need to be logged.

The REDO log makes it possible to replay these updates whenever the system is restarted. The default value is 32MB; the minimum value is 1MB.

For this reason, you should exercise care if you attempt to decrease the value of RedoBuffer as part of an online change in the cluster's configuration.

Controls the size of the circular buffer used for NDB log events within data nodes. Controlling log messages.

In managing the cluster, it is very important to be able to control the number of log messages sent for various event types to stdout.

For each event category, there are 16 possible event levels numbered 0 through Setting event reporting for a given event category to level 15 means all event reports in that category are sent to stdout ; setting it to 0 means that there will be no event reports made in that category.

By default, only the startup message is sent to stdout , with the remaining event reporting level defaults being set to 0.

The reason for this is that these messages are also sent to the management server's cluster log. An analogous set of levels can be set for the management client to determine which event levels to record in the cluster log.

The reporting level for events generated as part of graceful shutdown of a node. The reporting level for statistical events such as number of primary key reads, number of updates, number of inserts, information relating to buffer usage, and so on.

The reporting level for events generated by local and global checkpoints. The reporting level for events generated by connections between cluster nodes.

The reporting level for events generated by errors and warnings by the cluster as a whole. These errors do not cause any node failure but are still considered worth reporting.

The reporting level for events generated by congestion. These errors do not cause node failure but are still considered worth reporting. The reporting level for events generated for information about the general state of the cluster.

This parameter controls how often data node memory usage reports are recorded in the cluster log; it is an integer value representing the number of seconds between reports.

Each data node's data memory and index memory usage is logged as both a percentage and a number of 32 KB pages of the DataMemory and IndexMemory , respectively, set in the config.

For example, if DataMemory is equal to MB, and a given data node is using 50 MB for data memory storage, the corresponding line in the cluster log might look like this:.

MemReportFrequency is not a required parameter. If used, it can be set for all cluster data nodes in the [ndbd default] section of config.

You can force reports on the progress of this process to be logged periodically, by means of the StartupStatusReportFrequency configuration parameter.

In this case, progress is reported in the cluster log, in terms of both the number of files and the amount of space that have been initialized, as shown here:.

If StartupStatusReportFrequency is 0 the default , then reports are written to the cluster log only when at the beginning and at the completion of the redo log file initialization process.

Data Node Debugging Parameters. This parameter is useful only in debugging NDB kernel code. DictTrace takes an integer value.

Backup parameters. The [ndbd] parameters discussed in this section define memory buffers set aside for execution of online backups.

In creating a backup, there are two buffers used for sending data to the disk. The backup data buffer is used to fill in data recorded by scanning a node's tables.

Once this buffer has been filled to the level specified as BackupWriteSize , the pages are sent to disk. While flushing data to disk, the backup process can continue filling this buffer until it runs out of space.

When this happens, the backup process pauses the scan and waits until some disk writes have completed freeing up memory so that scanning may continue.

The default value for this parameter is 16MB. The minimum was raised to 2M in NDB 7. Bug During normal operation, data nodes attempt to maximize the disk write speed used for local checkpoints and backups while remaining within the bounds set by MinDiskWriteSpeed and MaxDiskWriteSpeed.

Because a backup is executed by only one LDM thread, this effectively caused a budget cut, resulting in longer backup completion times, and—if the rate of change is sufficiently high—in failure to complete the backup when the backup log buffer fill rate is higher than the achievable write rate.

This problem is addressed in NDB 7. This parameter takes a value in the range inclusive which is interpreted as the percentage of the node's maximum write rate budget that is reserved prior to sharing out the remainder of the budget among LDM threads for LCPs.

The LDM thread running the backup receives the whole write rate budget for the backup, plus its reduced share of the write rate budget for local checkpoints.

This makes the disk write rate budget in NDB 7. The backup log buffer fulfills a role similar to that played by the backup data buffer, except that it is used for generating a log of all table writes made during execution of the backup.

The same principles apply for writing these pages as with the backup data buffer, except that when there is no more space in the backup log buffer, the backup fails.

For that reason, the size of the backup log buffer must be large enough to handle the load caused by write activities while the backup is being made.

The default value for this parameter should be sufficient for most applications. In fact, it is more likely for a backup failure to be caused by insufficient disk write speed than it is for the backup log buffer to become full.

If the disk subsystem is not configured for the write load caused by applications, the cluster is unlikely to be able to perform the desired operations.

It is preferable to configure cluster nodes in such a manner that the processor becomes the bottleneck rather than the disks or the network connections.

This parameter is deprecated, and is subject to removal in a future version of NDB Cluster. This parameter controls how often backup status reports are issued in the management client during a backup, as well as how often such reports are written to the cluster log provided cluster event logging is configured to permit it—see Logging and checkpointing.

BackupReportFrequency represents the time in seconds between backup status reports. This parameter specifies the default size of messages written to disk by the backup log and backup data buffers.

This parameter specifies the maximum size of messages written to disk by the backup log and backup data buffers. The location of the backup files is determined by the BackupDataDir data node configuration parameter.

Additional requirements. When specifying these parameters, the following relationships must hold true. Otherwise, the data node will be unable to start.

The [ndbd] parameters discussed in this section are used in scheduling and locking of threads to specific CPUs on multiprocessor data node hosts.

To make use of these parameters, the data node process must be run as system root. How do I fix this? Active Oldest Votes.

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Percona XtraDB Cluster, Galera Cluster, MySQL Group Replication

2 Comments

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