mirror of
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175 lines
5.8 KiB
Go
175 lines
5.8 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 history
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import (
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"context"
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"go.temporal.io/server/api/matchingservice/v1"
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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/xdc"
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"go.temporal.io/server/service/history/configs"
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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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"go.temporal.io/server/service/history/workflow"
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"go.temporal.io/server/service/worker/archiver"
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)
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type (
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transferQueueStandbyProcessorImpl struct {
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*transferQueueProcessorBase
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*queueProcessorBase
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queueAckMgr
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clusterName string
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shard shard.Context
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config *configs.Config
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transferTaskFilter taskFilter
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logger log.Logger
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metricsClient metrics.Client
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taskExecutor queueTaskExecutor
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}
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)
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func newTransferQueueStandbyProcessor(
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clusterName string,
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shard shard.Context,
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workflowCache workflow.Cache,
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archivalClient archiver.Client,
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taskAllocator taskAllocator,
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nDCHistoryResender xdc.NDCHistoryResender,
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logger log.Logger,
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matchingClient matchingservice.MatchingServiceClient,
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) *transferQueueStandbyProcessorImpl {
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config := shard.GetConfig()
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options := &QueueProcessorOptions{
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BatchSize: config.TransferTaskBatchSize,
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WorkerCount: config.TransferTaskWorkerCount,
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MaxPollRPS: config.TransferProcessorMaxPollRPS,
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MaxPollInterval: config.TransferProcessorMaxPollInterval,
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MaxPollIntervalJitterCoefficient: config.TransferProcessorMaxPollIntervalJitterCoefficient,
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UpdateAckInterval: config.TransferProcessorUpdateAckInterval,
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UpdateAckIntervalJitterCoefficient: config.TransferProcessorUpdateAckIntervalJitterCoefficient,
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MaxRetryCount: config.TransferTaskMaxRetryCount,
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RedispatchInterval: config.TransferProcessorRedispatchInterval,
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RedispatchIntervalJitterCoefficient: config.TransferProcessorRedispatchIntervalJitterCoefficient,
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MaxRedispatchQueueSize: config.TransferProcessorMaxRedispatchQueueSize,
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EnablePriorityTaskProcessor: config.TransferProcessorEnablePriorityTaskProcessor,
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MetricScope: metrics.TransferStandbyQueueProcessorScope,
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}
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logger = log.With(logger, tag.ClusterName(clusterName))
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transferTaskFilter := func(task tasks.Task) bool {
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return taskAllocator.verifyStandbyTask(clusterName, namespace.ID(task.GetNamespaceID()), task)
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}
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maxReadAckLevel := func() int64 {
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return shard.GetQueueMaxReadLevel(tasks.CategoryTransfer, clusterName).TaskID
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}
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updateClusterAckLevel := func(ackLevel int64) error {
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return shard.UpdateQueueClusterAckLevel(tasks.CategoryTransfer, clusterName, tasks.Key{TaskID: ackLevel})
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}
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transferQueueShutdown := func() error {
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return nil
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}
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processor := &transferQueueStandbyProcessorImpl{
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clusterName: clusterName,
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shard: shard,
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config: shard.GetConfig(),
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transferTaskFilter: transferTaskFilter,
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logger: logger,
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metricsClient: shard.GetMetricsClient(),
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taskExecutor: newTransferQueueStandbyTaskExecutor(
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shard,
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workflowCache,
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archivalClient,
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nDCHistoryResender,
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logger,
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clusterName,
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matchingClient,
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),
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transferQueueProcessorBase: newTransferQueueProcessorBase(
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shard,
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options,
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maxReadAckLevel,
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updateClusterAckLevel,
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transferQueueShutdown,
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logger,
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),
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}
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queueAckMgr := newQueueAckMgr(
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shard,
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options,
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processor,
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shard.GetQueueClusterAckLevel(tasks.CategoryTransfer, clusterName).TaskID,
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logger,
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)
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queueProcessorBase := newQueueProcessorBase(
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clusterName,
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shard,
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options,
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processor,
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queueAckMgr,
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workflowCache,
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logger,
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shard.GetMetricsClient().Scope(metrics.TransferStandbyQueueProcessorScope),
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)
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processor.queueAckMgr = queueAckMgr
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processor.queueProcessorBase = queueProcessorBase
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return processor
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}
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func (t *transferQueueStandbyProcessorImpl) getTaskFilter() taskFilter {
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return t.transferTaskFilter
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}
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func (t *transferQueueStandbyProcessorImpl) notifyNewTask() {
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t.queueProcessorBase.notifyNewTask()
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}
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func (t *transferQueueStandbyProcessorImpl) complete(
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taskInfo *taskInfo,
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) {
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t.queueProcessorBase.complete(taskInfo.Task)
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}
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func (t *transferQueueStandbyProcessorImpl) process(
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ctx context.Context,
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taskInfo *taskInfo,
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) (int, error) {
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// TODO: task metricScope should be determined when creating taskInfo
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metricScope := getTransferTaskMetricsScope(taskInfo.Task, false)
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return metricScope, t.taskExecutor.execute(ctx, taskInfo.Task, taskInfo.shouldProcessTask)
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}
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