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308 lines
10 KiB
Go
308 lines
10 KiB
Go
// Licensed to the LF AI & Data foundation under one
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// or more contributor license agreements. See the NOTICE file
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// distributed with this work for additional information
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// regarding copyright ownership. The ASF licenses this file
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// to you under the Apache License, Version 2.0 (the
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// "License"); you may not use this file except in compliance
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// with the License. You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package datacoord
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import (
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"context"
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"fmt"
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"math"
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"time"
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"github.com/samber/lo"
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"golang.org/x/exp/slices"
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"github.com/milvus-io/milvus-proto/go-api/v3/schemapb"
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"github.com/milvus-io/milvus/internal/datacoord/session"
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globalTask "github.com/milvus-io/milvus/internal/datacoord/task"
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"github.com/milvus-io/milvus/internal/storage"
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"github.com/milvus-io/milvus/pkg/v3/mlog"
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"github.com/milvus-io/milvus/pkg/v3/proto/indexpb"
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"github.com/milvus-io/milvus/pkg/v3/proto/workerpb"
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"github.com/milvus-io/milvus/pkg/v3/taskcommon"
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"github.com/milvus-io/milvus/pkg/v3/util/typeutil"
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)
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type analyzeTask struct {
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*indexpb.AnalyzeTask
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times *taskcommon.Times
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schema *schemapb.CollectionSchema
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meta *meta
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}
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var _ globalTask.Task = (*analyzeTask)(nil)
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func newAnalyzeTask(t *indexpb.AnalyzeTask, meta *meta) *analyzeTask {
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task := &analyzeTask{
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AnalyzeTask: t,
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times: taskcommon.NewTimes(),
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meta: meta,
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}
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coll := meta.GetCollection(t.CollectionID)
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if coll != nil {
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task.schema = coll.Schema
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}
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return task
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}
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func (at *analyzeTask) SetTaskTime(timeType taskcommon.TimeType, time time.Time) {
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at.times.SetTaskTime(timeType, time)
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}
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func (at *analyzeTask) GetTaskTime(timeType taskcommon.TimeType) time.Time {
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return timeType.GetTaskTime(at.times)
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}
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func (at *analyzeTask) GetTaskVersion() int64 {
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return at.GetVersion()
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}
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func (at *analyzeTask) GetTaskType() taskcommon.Type {
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return taskcommon.Analyze
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}
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func (at *analyzeTask) GetTaskState() taskcommon.State {
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return at.State
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}
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func (at *analyzeTask) GetTaskSlot() int64 {
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return Params.DataCoordCfg.AnalyzeTaskSlotUsage.GetAsInt64()
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}
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func (at *analyzeTask) SetState(state indexpb.JobState, failReason string) {
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at.State = state
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at.FailReason = failReason
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}
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func (at *analyzeTask) UpdateStateWithMeta(state indexpb.JobState, failReason string) error {
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if err := at.meta.analyzeMeta.UpdateState(at.GetTaskID(), state, failReason); err != nil {
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return err
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}
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at.SetState(state, failReason)
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return nil
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}
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func (at *analyzeTask) UpdateVersion(nodeID int64) error {
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if err := at.meta.analyzeMeta.UpdateVersion(at.GetTaskID(), nodeID); err != nil {
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return err
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}
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at.Version++
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at.NodeID = nodeID
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return nil
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}
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func (at *analyzeTask) setJobInfo(result *workerpb.AnalyzeResult) error {
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if err := at.meta.analyzeMeta.FinishTask(at.GetTaskID(), result); err != nil {
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return err
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}
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at.SetState(result.GetState(), result.GetFailReason())
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return nil
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}
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func (at *analyzeTask) resetTask(reason string) {
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at.UpdateStateWithMeta(indexpb.JobState_JobStateInit, reason)
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}
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func (at *analyzeTask) dropAndResetTaskOnWorker(cluster session.Cluster, reason string) {
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if err := at.tryDropTaskOnWorker(cluster); err != nil {
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return
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}
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at.resetTask(reason)
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}
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func (at *analyzeTask) CreateTaskOnWorker(nodeID int64, cluster session.Cluster) {
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ctx := context.TODO()
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log := mlog.With(mlog.FieldTaskID(at.GetTaskID()))
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// Check if task still exists in meta
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task := at.meta.analyzeMeta.GetTask(at.GetTaskID())
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if task == nil {
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log.Info(context.TODO(), "analyze task has not exist in meta table, remove task")
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at.SetState(indexpb.JobState_JobStateNone, "analyze task has not exist in meta table")
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return
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}
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// Update task version
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if err := at.UpdateVersion(nodeID); err != nil {
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log.Warn(context.TODO(), "failed to update task version", mlog.Err(err))
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return
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}
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req := &workerpb.AnalyzeRequest{
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ClusterID: Params.CommonCfg.ClusterPrefix.GetValue(),
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TaskID: at.GetTaskID(),
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CollectionID: task.CollectionID,
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PartitionID: task.PartitionID,
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FieldID: task.FieldID,
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FieldName: task.FieldName,
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FieldType: task.FieldType,
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Dim: task.Dim,
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SegmentStats: make(map[int64]*indexpb.SegmentStats),
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Version: task.Version + 1,
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StorageConfig: createStorageConfig(),
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}
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// Populate SegmentStats with binlog IDs and row counts from segment metadata.
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segments := at.meta.SelectSegments(ctx, SegmentFilterFunc(func(info *SegmentInfo) bool {
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return isSegmentHealthy(info) && slices.Contains(task.SegmentIDs, info.ID)
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}))
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segmentsMap := lo.SliceToMap(segments, func(t *SegmentInfo) (int64, *SegmentInfo) {
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return t.ID, t
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})
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totalSegmentsRows := int64(0)
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for _, segID := range task.SegmentIDs {
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info := segmentsMap[segID]
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if info == nil {
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log.Warn(context.TODO(), "analyze task is processing, but segment is nil, fail the task",
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mlog.FieldSegmentID(segID))
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at.SetState(indexpb.JobState_JobStateFailed, fmt.Sprintf("segmentInfo with ID: %d is nil", segID))
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return
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}
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totalSegmentsRows += info.GetNumOfRows()
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binlogIDs := getBinLogIDs(info, task.FieldID)
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req.SegmentStats[segID] = &indexpb.SegmentStats{
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ID: segID,
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NumRows: info.GetNumOfRows(),
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LogIDs: binlogIDs,
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}
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}
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// Extract dim from schema field TypeParams for vector clustering key.
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if at.schema != nil {
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for _, f := range at.schema.Fields {
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if f.FieldID == task.FieldID {
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dim, err := storage.GetDimFromParams(f.TypeParams)
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if err != nil {
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at.SetState(indexpb.JobState_JobStateInit, err.Error())
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return
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}
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req.Dim = int64(dim)
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// Calculate the number of clusters based on total data size.
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totalSegmentsRawDataSize := float64(totalSegmentsRows) * float64(dim) * typeutil.VectorTypeSize(task.FieldType)
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numClusters := int64(math.Ceil(totalSegmentsRawDataSize / (Params.DataCoordCfg.SegmentMaxSize.GetAsFloat() * 1024 * 1024 * Params.DataCoordCfg.ClusteringCompactionMaxSegmentSizeRatio.GetAsFloat())))
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if numClusters < Params.DataCoordCfg.ClusteringCompactionMinCentroidsNum.GetAsInt64() {
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log.Info(context.TODO(), "data size is too small, skip analyze task",
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mlog.Float64("raw data size", totalSegmentsRawDataSize),
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mlog.Int64("num clusters", numClusters),
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mlog.Int64("minimum num clusters required", Params.DataCoordCfg.ClusteringCompactionMinCentroidsNum.GetAsInt64()))
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at.SetState(indexpb.JobState_JobStateFinished, "")
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return
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}
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if numClusters > Params.DataCoordCfg.ClusteringCompactionMaxCentroidsNum.GetAsInt64() {
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numClusters = Params.DataCoordCfg.ClusteringCompactionMaxCentroidsNum.GetAsInt64()
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}
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req.NumClusters = numClusters
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break
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}
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}
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}
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req.MaxTrainSizeRatio = Params.DataCoordCfg.ClusteringCompactionMaxTrainSizeRatio.GetAsFloat()
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req.MinClusterSizeRatio = Params.DataCoordCfg.ClusteringCompactionMinClusterSizeRatio.GetAsFloat()
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req.MaxClusterSizeRatio = Params.DataCoordCfg.ClusteringCompactionMaxClusterSizeRatio.GetAsFloat()
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req.MaxClusterSize = Params.DataCoordCfg.ClusteringCompactionMaxClusterSize.GetAsSize()
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req.TaskSlot = Params.DataCoordCfg.AnalyzeTaskSlotUsage.GetAsInt64()
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WrapPluginContext(task.CollectionID, at.schema.GetProperties(), req)
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var err error
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defer func() {
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if err != nil {
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log.Warn(context.TODO(), "assign analyze task to worker failed, try drop task on worker", mlog.Err(err))
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at.tryDropTaskOnWorker(cluster)
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}
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}()
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err = cluster.CreateAnalyze(nodeID, req)
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if err != nil {
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log.Warn(context.TODO(), "assign analyze task to worker failed", mlog.Err(err))
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return
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}
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log.Info(context.TODO(), "analyze task assigned successfully")
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if err = at.UpdateStateWithMeta(indexpb.JobState_JobStateInProgress, ""); err != nil {
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log.Warn(context.TODO(), "failed to update task state to inProgress", mlog.Err(err))
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}
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log.Info(context.TODO(), "update task state to inProgress successfully")
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}
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func (at *analyzeTask) QueryTaskOnWorker(cluster session.Cluster) {
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log := mlog.With(
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mlog.FieldTaskID(at.GetTaskID()),
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mlog.FieldNodeID(at.NodeID),
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)
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resp, err := cluster.QueryAnalyze(at.NodeID, &workerpb.QueryJobsRequest{
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ClusterID: Params.CommonCfg.ClusterPrefix.GetValue(),
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TaskIDs: []int64{at.GetTaskID()},
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})
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if err != nil {
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log.Warn(context.TODO(), "query analyze task result from worker failed", mlog.Err(err))
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at.dropAndResetTaskOnWorker(cluster, err.Error())
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return
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}
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// Process query results
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for _, result := range resp.GetResults() {
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if result.GetTaskID() != at.GetTaskID() {
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continue
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}
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state := result.GetState()
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// Handle different task states
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switch state {
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case indexpb.JobState_JobStateFinished, indexpb.JobState_JobStateFailed:
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log.Info(context.TODO(), "query analyze task result success",
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mlog.String("state", state.String()),
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mlog.String("failReason", result.GetFailReason()))
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at.setJobInfo(result)
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case indexpb.JobState_JobStateRetry, indexpb.JobState_JobStateNone:
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log.Info(context.TODO(), "query analyze task result success",
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mlog.String("state", state.String()),
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mlog.String("failReason", result.GetFailReason()))
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at.dropAndResetTaskOnWorker(cluster, result.GetFailReason())
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}
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// Otherwise (inProgress or unissued/init), keep current state
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return
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}
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log.Warn(context.TODO(), "query analyze task info failed, worker does not have task info")
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at.UpdateStateWithMeta(indexpb.JobState_JobStateInit, "analyze result is not in info response")
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}
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func (at *analyzeTask) tryDropTaskOnWorker(cluster session.Cluster) error {
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log := mlog.With(
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mlog.FieldTaskID(at.GetTaskID()),
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mlog.FieldNodeID(at.NodeID),
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)
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if err := cluster.DropAnalyze(at.NodeID, at.GetTaskID()); err != nil {
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log.Warn(context.TODO(), "failed to drop analyze task on worker", mlog.Err(err))
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return err
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}
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log.Info(context.TODO(), "dropped analyze task on worker successfully")
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return nil
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}
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func (at *analyzeTask) DropTaskOnWorker(cluster session.Cluster) {
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at.tryDropTaskOnWorker(cluster)
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}
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