batching DML writes, configurable --dml-batch-size
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3e28f462d8
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@ -149,6 +149,7 @@ type MigrationContext struct {
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controlReplicasLagResult mysql.ReplicationLagResult
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TotalRowsCopied int64
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TotalDMLEventsApplied int64
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DMLBatchSize int64
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isThrottled bool
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throttleReason string
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throttleReasonHint ThrottleReasonHint
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@ -208,6 +209,7 @@ func newMigrationContext() *MigrationContext {
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ApplierConnectionConfig: mysql.NewConnectionConfig(),
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MaxLagMillisecondsThrottleThreshold: 1500,
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CutOverLockTimeoutSeconds: 3,
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DMLBatchSize: 10,
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maxLoad: NewLoadMap(),
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criticalLoad: NewLoadMap(),
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throttleMutex: &sync.Mutex{},
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@ -418,6 +420,16 @@ func (this *MigrationContext) SetChunkSize(chunkSize int64) {
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atomic.StoreInt64(&this.ChunkSize, chunkSize)
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}
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func (this *MigrationContext) SetDMLBatchSize(batchSize int64) {
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if batchSize < 1 {
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batchSize = 1
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}
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if batchSize > 100 {
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batchSize = 100
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}
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atomic.StoreInt64(&this.DMLBatchSize, batchSize)
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}
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func (this *MigrationContext) SetThrottleGeneralCheckResult(checkResult *ThrottleCheckResult) *ThrottleCheckResult {
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this.throttleMutex.Lock()
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defer this.throttleMutex.Unlock()
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@ -83,6 +83,7 @@ func main() {
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flag.BoolVar(&migrationContext.SwitchToRowBinlogFormat, "switch-to-rbr", false, "let this tool automatically switch binary log format to 'ROW' on the replica, if needed. The format will NOT be switched back. I'm too scared to do that, and wish to protect you if you happen to execute another migration while this one is running")
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flag.BoolVar(&migrationContext.AssumeRBR, "assume-rbr", false, "set to 'true' when you know for certain your server uses 'ROW' binlog_format. gh-ost is unable to tell, event after reading binlog_format, whether the replication process does indeed use 'ROW', and restarts replication to be certain RBR setting is applied. Such operation requires SUPER privileges which you might not have. Setting this flag avoids restarting replication and you can proceed to use gh-ost without SUPER privileges")
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chunkSize := flag.Int64("chunk-size", 1000, "amount of rows to handle in each iteration (allowed range: 100-100,000)")
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dmlBatchSize := flag.Int64("dml-batch-size", 10, "batch size for DML events to apply in a single transaction (range 1-100)")
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defaultRetries := flag.Int64("default-retries", 60, "Default number of retries for various operations before panicking")
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cutOverLockTimeoutSeconds := flag.Int64("cut-over-lock-timeout-seconds", 3, "Max number of seconds to hold locks on tables while attempting to cut-over (retry attempted when lock exceeds timeout)")
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niceRatio := flag.Float64("nice-ratio", 0, "force being 'nice', imply sleep time per chunk time; range: [0.0..100.0]. Example values: 0 is aggressive. 1: for every 1ms spent copying rows, sleep additional 1ms (effectively doubling runtime); 0.7: for every 10ms spend in a rowcopy chunk, spend 7ms sleeping immediately after")
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@ -220,6 +221,7 @@ func main() {
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migrationContext.SetHeartbeatIntervalMilliseconds(*heartbeatIntervalMillis)
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migrationContext.SetNiceRatio(*niceRatio)
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migrationContext.SetChunkSize(*chunkSize)
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migrationContext.SetDMLBatchSize(*dmlBatchSize)
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migrationContext.SetMaxLagMillisecondsThrottleThreshold(*maxLagMillis)
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migrationContext.SetReplicationLagQuery(*replicationLagQuery)
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migrationContext.SetThrottleQuery(*throttleQuery)
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@ -993,5 +993,6 @@ func (this *Applier) ApplyDMLEventQueries(dmlEvents [](*binlog.BinlogDMLEvent))
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if this.migrationContext.CountTableRows {
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atomic.AddInt64(&this.migrationContext.RowsDeltaEstimate, totalDelta)
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}
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log.Debugf("ApplyDMLEventQueries() applied %d events in one transaction", len(dmlEvents))
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return nil
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}
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@ -37,6 +37,21 @@ func ReadChangelogState(s string) ChangelogState {
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type tableWriteFunc func() error
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type applyEventStruct struct {
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writeFunc *tableWriteFunc
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dmlEvent *binlog.BinlogDMLEvent
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}
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func newApplyEventStructByFunc(writeFunc *tableWriteFunc) *applyEventStruct {
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result := &applyEventStruct{writeFunc: writeFunc}
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return result
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}
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func newApplyEventStructByDML(dmlEvent *binlog.BinlogDMLEvent) *applyEventStruct {
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result := &applyEventStruct{dmlEvent: dmlEvent}
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return result
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}
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const (
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applyEventsQueueBuffer = 100
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)
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@ -71,7 +86,7 @@ type Migrator struct {
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// copyRowsQueue should not be buffered; if buffered some non-damaging but
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// excessive work happens at the end of the iteration as new copy-jobs arrive befroe realizing the copy is complete
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copyRowsQueue chan tableWriteFunc
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applyEventsQueue chan tableWriteFunc
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applyEventsQueue chan *applyEventStruct
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handledChangelogStates map[string]bool
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}
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@ -86,7 +101,7 @@ func NewMigrator() *Migrator {
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allEventsUpToLockProcessed: make(chan string),
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copyRowsQueue: make(chan tableWriteFunc),
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applyEventsQueue: make(chan tableWriteFunc, applyEventsQueueBuffer),
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applyEventsQueue: make(chan *applyEventStruct, applyEventsQueueBuffer),
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handledChangelogStates: make(map[string]bool),
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}
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return migrator
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@ -194,7 +209,7 @@ func (this *Migrator) onChangelogStateEvent(dmlEvent *binlog.BinlogDMLEvent) (er
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}
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case AllEventsUpToLockProcessed:
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{
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applyEventFunc := func() error {
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var applyEventFunc tableWriteFunc = func() error {
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this.allEventsUpToLockProcessed <- changelogStateString
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return nil
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}
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@ -204,7 +219,7 @@ func (this *Migrator) onChangelogStateEvent(dmlEvent *binlog.BinlogDMLEvent) (er
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// So as not to create a potential deadlock, we write this func to applyEventsQueue
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// asynchronously, understanding it doesn't really matter.
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go func() {
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this.applyEventsQueue <- applyEventFunc
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this.applyEventsQueue <- newApplyEventStructByFunc(&applyEventFunc)
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}()
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}
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default:
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@ -917,11 +932,7 @@ func (this *Migrator) addDMLEventsListener() error {
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this.migrationContext.DatabaseName,
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this.migrationContext.OriginalTableName,
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func(dmlEvent *binlog.BinlogDMLEvent) error {
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// Create a task to apply the DML event; this will be execute by executeWriteFuncs()
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applyEventFunc := func() error {
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return this.applier.ApplyDMLEventQuery(dmlEvent)
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}
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this.applyEventsQueue <- applyEventFunc
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this.applyEventsQueue <- newApplyEventStructByDML(dmlEvent)
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return nil
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},
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)
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@ -1032,10 +1043,37 @@ func (this *Migrator) executeWriteFuncs() error {
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// We give higher priority to event processing, then secondary priority to
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// rowcopy
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select {
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case applyEventFunc := <-this.applyEventsQueue:
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case applyEventStruct := <-this.applyEventsQueue:
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{
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if err := this.retryOperation(applyEventFunc); err != nil {
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return log.Errore(err)
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if applyEventStruct.writeFunc != nil {
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if err := this.retryOperation(*applyEventStruct.writeFunc); err != nil {
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return log.Errore(err)
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}
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}
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if applyEventStruct.dmlEvent != nil {
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dmlEvents := [](*binlog.BinlogDMLEvent){}
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dmlEvents = append(dmlEvents, applyEventStruct.dmlEvent)
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availableEvents := len(this.applyEventsQueue)
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batchSize := int(atomic.LoadInt64(&this.migrationContext.DMLBatchSize))
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if availableEvents > batchSize {
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availableEvents = batchSize
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}
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for i := 0; i < availableEvents; i++ {
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additionalStruct := <-this.applyEventsQueue
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if additionalStruct.dmlEvent == nil {
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// Not a DML. We don't group this, and we don't batch any further
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break
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}
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dmlEvents = append(dmlEvents, additionalStruct.dmlEvent)
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}
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// Create a task to apply the DML event; this will be execute by executeWriteFuncs()
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var applyEventFunc tableWriteFunc = func() error {
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return this.applier.ApplyDMLEventQueries(dmlEvents)
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}
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if err := this.retryOperation(applyEventFunc); err != nil {
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return log.Errore(err)
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}
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}
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}
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default:
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