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chore: import upstream snapshot with attribution
2026-07-13 12:31:17 +08:00

308 lines
10 KiB
Go

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