mirror of
https://github.com/hanzoai/tasks.git
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## What changed? <!-- Describe what has changed in this PR --> - When workflow in the source cluster completes and starts a new run in the same transaction. Replication should also apply that in one transaction in standby cluster. Today this only happens when the current workflow closes with continue as new event, but there are other cases like cron and retry where workflow can close with completed/timedout/failed event and also has a new run. ## Why? <!-- Tell your future self why have you made these changes --> - Transactional guarantee should be preserved by replication ## How did you test it? <!-- How have you verified this change? Tested locally? Added a unit test? Checked in staging env? --> - New unit tests - Run canary using global namespace. ## Potential risks <!-- Assuming the worst case, what can be broken when deploying this change to production? --> - Replication task may go to dlq in worst case ## Documentation <!-- Have you made sure this change doesn't falsify anything currently stated in `docs/`? If significant new behavior is added, have you described that in `docs/`? --> - N/A ## Is hotfix candidate? <!-- Is this PR a hotfix candidate or does it require a notification to be sent to the broader community? (Yes/No) --> - No.
417 lines
13 KiB
Go
417 lines
13 KiB
Go
// The MIT License
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//
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// Copyright (c) 2020 Temporal Technologies Inc. All rights reserved.
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//
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// Copyright (c) 2020 Uber Technologies, Inc.
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//
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// Permission is hereby granted, free of charge, to any person obtaining a copy
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// of this software and associated documentation files (the "Software"), to deal
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// in the Software without restriction, including without limitation the rights
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// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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// copies of the Software, and to permit persons to whom the Software is
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// furnished to do so, subject to the following conditions:
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//
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// The above copyright notice and this permission notice shall be included in
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// all copies or substantial portions of the Software.
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//
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// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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// THE SOFTWARE.
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package replication
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import (
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"context"
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"sync"
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"sync/atomic"
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"time"
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historypb "go.temporal.io/api/history/v1"
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historyspb "go.temporal.io/server/api/history/v1"
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persistencespb "go.temporal.io/server/api/persistence/v1"
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"go.temporal.io/server/client"
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"go.temporal.io/server/common"
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"go.temporal.io/server/common/backoff"
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"go.temporal.io/server/common/cluster"
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"go.temporal.io/server/common/definition"
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"go.temporal.io/server/common/headers"
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"go.temporal.io/server/common/log"
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"go.temporal.io/server/common/log/tag"
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"go.temporal.io/server/common/metrics"
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"go.temporal.io/server/common/namespace"
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"go.temporal.io/server/common/persistence"
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"go.temporal.io/server/common/persistence/serialization"
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"go.temporal.io/server/common/xdc"
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"go.temporal.io/server/service/history/configs"
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"go.temporal.io/server/service/history/deletemanager"
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"go.temporal.io/server/service/history/shard"
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"go.temporal.io/server/service/history/tasks"
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wcache "go.temporal.io/server/service/history/workflow/cache"
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)
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const (
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dlqSizeCheckInterval = time.Minute * 5
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)
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type (
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// taskProcessorManagerImpl is to manage replication task processors
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taskProcessorManagerImpl struct {
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config *configs.Config
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deleteMgr deletemanager.DeleteManager
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engine shard.Engine
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eventSerializer serialization.Serializer
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shard shard.Context
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status int32
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replicationTaskFetcherFactory TaskFetcherFactory
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workflowCache wcache.Cache
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resender xdc.NDCHistoryResender
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taskExecutorProvider TaskExecutorProvider
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taskPollerManager pollerManager
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metricsHandler metrics.Handler
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logger log.Logger
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dlqWriter DLQWriter
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enableFetcher bool
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taskProcessorLock sync.RWMutex
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taskProcessors map[string][]TaskProcessor // cluster name - processor
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minTxAckedTaskID int64
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shutdownChan chan struct{}
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}
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)
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func NewTaskProcessorManager(
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config *configs.Config,
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shard shard.Context,
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engine shard.Engine,
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workflowCache wcache.Cache,
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workflowDeleteManager deletemanager.DeleteManager,
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clientBean client.Bean,
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eventSerializer serialization.Serializer,
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replicationTaskFetcherFactory TaskFetcherFactory,
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taskExecutorProvider TaskExecutorProvider,
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dlqWriter DLQWriter,
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) *taskProcessorManagerImpl {
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return &taskProcessorManagerImpl{
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config: config,
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deleteMgr: workflowDeleteManager,
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engine: engine,
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eventSerializer: eventSerializer,
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shard: shard,
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status: common.DaemonStatusInitialized,
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replicationTaskFetcherFactory: replicationTaskFetcherFactory,
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workflowCache: workflowCache,
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resender: xdc.NewNDCHistoryResender(
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shard.GetNamespaceRegistry(),
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clientBean,
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func(
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ctx context.Context,
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sourceClusterName string,
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namespaceId namespace.ID,
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workflowId string,
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runId string,
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events []*historypb.HistoryEvent,
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versionHistory []*historyspb.VersionHistoryItem,
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) error {
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return engine.ReplicateHistoryEvents(
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ctx,
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definition.WorkflowKey{
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NamespaceID: namespaceId.String(),
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WorkflowID: workflowId,
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RunID: runId,
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},
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nil,
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versionHistory,
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[][]*historypb.HistoryEvent{events},
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nil,
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"",
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)
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},
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shard.GetPayloadSerializer(),
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shard.GetConfig().StandbyTaskReReplicationContextTimeout,
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shard.GetLogger(),
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),
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logger: shard.GetLogger(),
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metricsHandler: shard.GetMetricsHandler(),
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dlqWriter: dlqWriter,
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enableFetcher: !config.EnableReplicationStream(),
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taskProcessors: make(map[string][]TaskProcessor),
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taskExecutorProvider: taskExecutorProvider,
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taskPollerManager: newPollerManager(shard.GetShardID(), shard.GetClusterMetadata()),
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minTxAckedTaskID: persistence.EmptyQueueMessageID,
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shutdownChan: make(chan struct{}),
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}
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}
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func (r *taskProcessorManagerImpl) Start() {
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if !atomic.CompareAndSwapInt32(
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&r.status,
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common.DaemonStatusInitialized,
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common.DaemonStatusStarted,
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) {
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return
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}
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// Listen to cluster metadata and dynamically update replication processor for remote clusters.
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if r.enableFetcher {
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r.listenToClusterMetadataChange()
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}
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go r.completeReplicationTaskLoop()
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go r.checkReplicationDLQEmptyLoop()
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}
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func (r *taskProcessorManagerImpl) Stop() {
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if !atomic.CompareAndSwapInt32(
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&r.status,
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common.DaemonStatusStarted,
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common.DaemonStatusStopped,
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) {
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return
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}
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close(r.shutdownChan)
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if r.enableFetcher {
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r.shard.GetClusterMetadata().UnRegisterMetadataChangeCallback(r)
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}
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r.taskProcessorLock.Lock()
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for _, taskProcessors := range r.taskProcessors {
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for _, processor := range taskProcessors {
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processor.Stop()
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}
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}
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r.taskProcessorLock.Unlock()
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}
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func (r *taskProcessorManagerImpl) listenToClusterMetadataChange() {
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clusterMetadata := r.shard.GetClusterMetadata()
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clusterMetadata.RegisterMetadataChangeCallback(
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r,
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r.handleClusterMetadataUpdate,
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)
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}
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func (r *taskProcessorManagerImpl) handleClusterMetadataUpdate(
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oldClusterMetadata map[string]*cluster.ClusterInformation,
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newClusterMetadata map[string]*cluster.ClusterInformation,
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) {
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r.taskProcessorLock.Lock()
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defer r.taskProcessorLock.Unlock()
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currentClusterName := r.shard.GetClusterMetadata().GetCurrentClusterName()
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// The metadata triggers an update when the following fields update: 1. Enabled 2. Initial Failover Version 3. Cluster address
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// The callback covers three cases:
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// Case 1: Remove a cluster Case 2: Add a new cluster Case 3: Refresh cluster metadata(1 + 2).
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// Case 1 and Case 3
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for clusterName := range oldClusterMetadata {
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if clusterName == currentClusterName {
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continue
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}
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for _, processor := range r.taskProcessors[clusterName] {
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processor.Stop()
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}
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delete(r.taskProcessors, clusterName)
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}
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// Case 2 and Case 3
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for clusterName := range newClusterMetadata {
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if clusterName == currentClusterName {
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continue
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}
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if clusterInfo := newClusterMetadata[clusterName]; clusterInfo == nil || !clusterInfo.Enabled {
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continue
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}
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sourceShardIds, err := r.taskPollerManager.getSourceClusterShardIDs(clusterName)
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if err != nil {
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r.logger.Error("Failed to get source shard id list", tag.Error(err), tag.ClusterName(clusterName))
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continue
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}
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var processors []TaskProcessor
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for _, sourceShardId := range sourceShardIds {
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fetcher := r.replicationTaskFetcherFactory.GetOrCreateFetcher(clusterName)
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replicationTaskProcessor := NewTaskProcessor(
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sourceShardId,
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r.shard,
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r.engine,
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r.config,
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r.shard.GetMetricsHandler(),
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fetcher,
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r.taskExecutorProvider(TaskExecutorParams{
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RemoteCluster: clusterName,
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Shard: r.shard,
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HistoryResender: r.resender,
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DeleteManager: r.deleteMgr,
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WorkflowCache: r.workflowCache,
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}),
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r.eventSerializer,
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r.dlqWriter,
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)
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replicationTaskProcessor.Start()
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processors = append(processors, replicationTaskProcessor)
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}
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r.taskProcessors[clusterName] = processors
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}
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}
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func (r *taskProcessorManagerImpl) completeReplicationTaskLoop() {
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shardID := r.shard.GetShardID()
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cleanupTimer := time.NewTimer(backoff.Jitter(
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r.config.ReplicationTaskProcessorCleanupInterval(shardID),
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r.config.ReplicationTaskProcessorCleanupJitterCoefficient(shardID),
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))
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defer cleanupTimer.Stop()
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for {
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select {
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case <-cleanupTimer.C:
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if err := r.cleanupReplicationTasks(); err != nil {
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r.logger.Error("Failed to clean up replication messages.", tag.Error(err))
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metrics.ReplicationTaskCleanupFailure.With(r.metricsHandler).Record(
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1,
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metrics.OperationTag(metrics.ReplicationTaskCleanupScope),
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)
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}
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cleanupTimer.Reset(backoff.Jitter(
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r.config.ReplicationTaskProcessorCleanupInterval(shardID),
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r.config.ReplicationTaskProcessorCleanupJitterCoefficient(shardID),
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))
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case <-r.shutdownChan:
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return
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}
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}
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}
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func (r *taskProcessorManagerImpl) checkReplicationDLQEmptyLoop() {
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for {
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timer := time.NewTimer(backoff.FullJitter(dlqSizeCheckInterval))
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select {
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case <-timer.C:
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if r.config.ReplicationEnableDLQMetrics() {
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r.checkReplicationDLQSize()
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}
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case <-r.shutdownChan:
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timer.Stop()
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return
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}
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}
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}
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func (r *taskProcessorManagerImpl) cleanupReplicationTasks() error {
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clusterMetadata := r.shard.GetClusterMetadata()
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allClusterInfo := clusterMetadata.GetAllClusterInfo()
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currentClusterName := clusterMetadata.GetCurrentClusterName()
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minAckedTaskID := r.shard.GetQueueExclusiveHighReadWatermark(tasks.CategoryReplication).TaskID - 1
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queueStates, ok := r.shard.GetQueueState(tasks.CategoryReplication)
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if !ok {
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queueStates = &persistencespb.QueueState{
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ExclusiveReaderHighWatermark: nil,
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ReaderStates: make(map[int64]*persistencespb.QueueReaderState),
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}
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}
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for _, readerID := range targetReaderIDs(
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currentClusterName,
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r.shard.GetShardID(),
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allClusterInfo,
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) {
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readerState, ok := queueStates.ReaderStates[readerID]
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if !ok {
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minAckedTaskID = min(minAckedTaskID, 0)
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} else {
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minAckedTaskID = min(minAckedTaskID, readerState.Scopes[0].Range.InclusiveMin.TaskId-1)
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}
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}
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if minAckedTaskID <= r.minTxAckedTaskID {
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return nil
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}
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r.logger.Debug("cleaning up replication task queue", tag.ReadLevel(minAckedTaskID))
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metrics.ReplicationTaskCleanupCount.With(r.metricsHandler).Record(
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1,
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metrics.OperationTag(metrics.ReplicationTaskCleanupScope),
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)
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metrics.ReplicationTasksLag.With(r.metricsHandler).Record(
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r.shard.GetQueueExclusiveHighReadWatermark(tasks.CategoryReplication).Prev().TaskID-minAckedTaskID,
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metrics.TargetClusterTag(currentClusterName),
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metrics.OperationTag(metrics.ReplicationTaskCleanupScope),
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)
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ctx, cancel := context.WithTimeout(context.Background(), time.Second*5)
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ctx = headers.SetCallerInfo(ctx, headers.SystemPreemptableCallerInfo)
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defer cancel()
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err := r.shard.GetExecutionManager().RangeCompleteHistoryTasks(
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ctx,
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&persistence.RangeCompleteHistoryTasksRequest{
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ShardID: r.shard.GetShardID(),
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TaskCategory: tasks.CategoryReplication,
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ExclusiveMaxTaskKey: tasks.NewImmediateKey(minAckedTaskID + 1),
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},
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)
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if err == nil {
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r.minTxAckedTaskID = minAckedTaskID
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}
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return err
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}
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func (r *taskProcessorManagerImpl) checkReplicationDLQSize() {
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ctx, cancel := context.WithTimeout(context.Background(), time.Second*5)
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ctx = headers.SetCallerInfo(ctx, headers.SystemPreemptableCallerInfo)
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defer cancel()
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for clusterName := range r.shard.GetClusterMetadata().GetAllClusterInfo() {
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if clusterName == r.shard.GetClusterMetadata().GetCurrentClusterName() {
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continue
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}
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minTaskKey := r.shard.GetReplicatorDLQAckLevel(clusterName)
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isEmpty, err := r.shard.GetExecutionManager().IsReplicationDLQEmpty(ctx, &persistence.GetReplicationTasksFromDLQRequest{
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GetHistoryTasksRequest: persistence.GetHistoryTasksRequest{
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ShardID: r.shard.GetShardID(),
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TaskCategory: tasks.CategoryReplication,
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InclusiveMinTaskKey: tasks.NewImmediateKey(minTaskKey),
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},
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SourceClusterName: clusterName,
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})
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if err != nil {
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r.logger.Error("Failed to check replication DLQ size.", tag.Error(err))
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return
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}
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if !isEmpty {
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metrics.ReplicationNonEmptyDLQCount.With(r.metricsHandler).Record(1, metrics.OperationTag(metrics.ReplicationDLQStatsScope))
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break
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}
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}
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}
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func targetReaderIDs(
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currentClusterName string,
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currentShardID int32,
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allClusterInfo map[string]cluster.ClusterInformation,
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) []int64 {
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currentShardCount := allClusterInfo[currentClusterName].ShardCount
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var readerIDs []int64
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for clusterName, clusterInfo := range allClusterInfo {
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if clusterName == currentClusterName || !clusterInfo.Enabled {
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continue
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}
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targetClusterID := allClusterInfo[clusterName].InitialFailoverVersion
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targetShardCount := allClusterInfo[clusterName].ShardCount
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for _, targetShardID := range common.MapShardID(
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currentShardCount,
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targetShardCount,
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currentShardID,
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) {
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readerIDs = append(readerIDs, shard.ReplicationReaderIDFromClusterShardID(
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targetClusterID, targetShardID,
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))
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}
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}
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return readerIDs
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}
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