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305 lines
11 KiB
Go
305 lines
11 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 compaction
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import (
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"context"
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"fmt"
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"strconv"
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"sync"
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"testing"
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"time"
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"github.com/stretchr/testify/suite"
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"google.golang.org/protobuf/proto"
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"github.com/milvus-io/milvus-proto/go-api/v3/commonpb"
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"github.com/milvus-io/milvus-proto/go-api/v3/milvuspb"
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"github.com/milvus-io/milvus-proto/go-api/v3/schemapb"
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"github.com/milvus-io/milvus/pkg/v3/common"
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"github.com/milvus-io/milvus/pkg/v3/mlog"
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"github.com/milvus-io/milvus/pkg/v3/proto/datapb"
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"github.com/milvus-io/milvus/pkg/v3/util/funcutil"
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"github.com/milvus-io/milvus/pkg/v3/util/merr"
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"github.com/milvus-io/milvus/pkg/v3/util/metric"
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"github.com/milvus-io/milvus/pkg/v3/util/paramtable"
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"github.com/milvus-io/milvus/tests/integration"
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)
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type VectorClusteringCompactionSuite struct {
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integration.MiniClusterSuite
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}
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func (s *VectorClusteringCompactionSuite) SetupSuite() {
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s.WithMilvusConfig(paramtable.Get().PulsarCfg.MaxMessageSize.Key, strconv.Itoa(500*1024))
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s.WithMilvusConfig(paramtable.Get().DataNodeCfg.ClusteringCompactionWorkerPoolSize.Key, strconv.Itoa(8))
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s.WithMilvusConfig(paramtable.Get().DataCoordCfg.EnableAutoCompaction.Key, "false")
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s.WithMilvusConfig(paramtable.Get().DataCoordCfg.ClusteringCompactionMaxSegmentSizeRatio.Key, "1.0")
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s.WithMilvusConfig(paramtable.Get().DataCoordCfg.ClusteringCompactionPreferSegmentSizeRatio.Key, "1.0")
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s.WithMilvusConfig(paramtable.Get().DataCoordCfg.TaskCheckInterval.Key, "1")
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s.WithMilvusConfig(paramtable.Get().DataCoordCfg.TaskScheduleInterval.Key, "100")
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s.WithMilvusConfig(paramtable.Get().CommonCfg.EnableVectorClusteringKey.Key, "true")
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s.MiniClusterSuite.SetupSuite()
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}
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// TestVectorClusteringCompaction verifies the end-to-end flow of clustering compaction
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// when FloatVector is used as the clustering key. This exercises the full pipeline:
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// pipelining → analyzing → pipelining (with AnalyzeVersion) → executing → meta_saved → completed
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func (s *VectorClusteringCompactionSuite) TestVectorClusteringCompaction() {
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ctx, cancel := context.WithTimeout(context.Background(), 5*time.Minute)
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defer cancel()
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c := s.Cluster
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const (
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dim = 128
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dbName = ""
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rowNum = 30000
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)
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collectionName := "TestVectorClusteringCompaction" + funcutil.GenRandomStr()
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schema := ConstructVectorClusteringSchema(collectionName, dim, true)
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marshaledSchema, err := proto.Marshal(schema)
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s.NoError(err)
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createCollectionStatus, err := c.MilvusClient.CreateCollection(ctx, &milvuspb.CreateCollectionRequest{
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DbName: dbName,
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CollectionName: collectionName,
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Schema: marshaledSchema,
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ShardsNum: common.DefaultShardsNum,
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})
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s.NoError(err)
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s.Equal(commonpb.ErrorCode_Success, createCollectionStatus.GetErrorCode())
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showCollectionsResp, err := c.MilvusClient.ShowCollections(ctx, &milvuspb.ShowCollectionsRequest{
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CollectionNames: []string{collectionName},
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})
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s.NoError(err)
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s.Equal(commonpb.ErrorCode_Success, showCollectionsResp.GetStatus().GetErrorCode())
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// insert — autoID=true so only vector field is needed
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fVecColumn := integration.NewFloatVectorFieldData(integration.FloatVecField, rowNum, dim)
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hashKeys := integration.GenerateHashKeys(rowNum)
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insertResult, err := c.MilvusClient.Insert(ctx, &milvuspb.InsertRequest{
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DbName: dbName,
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CollectionName: collectionName,
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FieldsData: []*schemapb.FieldData{fVecColumn},
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HashKeys: hashKeys,
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NumRows: uint32(rowNum),
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})
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s.NoError(err)
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s.Equal(commonpb.ErrorCode_Success, insertResult.GetStatus().GetErrorCode())
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// flush
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flushResp, err := c.MilvusClient.Flush(ctx, &milvuspb.FlushRequest{
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DbName: dbName,
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CollectionNames: []string{collectionName},
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})
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s.NoError(err)
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segmentIDs, has := flushResp.GetCollSegIDs()[collectionName]
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ids := segmentIDs.GetData()
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s.Require().NotEmpty(segmentIDs)
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s.Require().True(has)
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flushTs, has := flushResp.GetCollFlushTs()[collectionName]
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s.True(has)
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s.WaitForFlush(ctx, ids, flushTs, dbName, collectionName)
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// record segment count before compaction
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segmentsBefore, err := c.ShowSegments(collectionName)
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s.NoError(err)
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s.NotEmpty(segmentsBefore)
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segCountBefore := 0
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for _, seg := range segmentsBefore {
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if seg.GetState() == commonpb.SegmentState_Flushed {
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segCountBefore++
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}
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mlog.Info(context.TODO(), "segment before compaction",
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mlog.Int64("id", seg.ID),
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mlog.String("state", seg.GetState().String()),
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mlog.String("level", seg.GetLevel().String()),
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mlog.Int64("numOfRows", seg.GetNumOfRows()))
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}
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mlog.Info(context.TODO(), "segments before compaction", mlog.Int("count", segCountBefore))
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// reduce SegmentMaxSize to force clustering compaction
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revertGuard := s.Cluster.MustModifyMilvusConfig(map[string]string{
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paramtable.Get().DataCoordCfg.SegmentMaxSize.Key: "1",
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})
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defer revertGuard()
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indexType := integration.IndexFaissIvfFlat
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metricType := metric.L2
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vecType := schemapb.DataType_FloatVector
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// create index
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createIndexStatus, err := c.MilvusClient.CreateIndex(ctx, &milvuspb.CreateIndexRequest{
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CollectionName: collectionName,
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FieldName: fVecColumn.FieldName,
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IndexName: "_default",
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ExtraParams: integration.ConstructIndexParam(dim, indexType, metricType),
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})
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s.NoError(err)
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s.Equal(commonpb.ErrorCode_Success, createIndexStatus.GetErrorCode())
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s.WaitForIndexBuilt(ctx, collectionName, fVecColumn.FieldName)
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// load
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loadStatus, err := c.MilvusClient.LoadCollection(ctx, &milvuspb.LoadCollectionRequest{
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DbName: dbName,
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CollectionName: collectionName,
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})
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s.NoError(err)
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s.Equal(commonpb.ErrorCode_Success, loadStatus.GetErrorCode())
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s.WaitForLoad(ctx, collectionName)
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// trigger clustering compaction
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compactReq := &milvuspb.ManualCompactionRequest{
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CollectionID: showCollectionsResp.CollectionIds[0],
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MajorCompaction: true,
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}
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compactResp, err := c.MilvusClient.ManualCompaction(ctx, compactReq)
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s.NoError(err)
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s.Greater(compactResp.GetCompactionID(), int64(0), "compaction should be triggered, got zero compactionID")
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mlog.Info(context.TODO(), "compaction triggered", mlog.Int64("compactionID", compactResp.GetCompactionID()))
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// wait for compaction to complete with timeout
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compacted := func() bool {
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resp, err := c.MilvusClient.GetCompactionState(ctx, &milvuspb.GetCompactionStateRequest{
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CompactionID: compactResp.GetCompactionID(),
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})
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if err != nil {
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return false
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}
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if resp.GetState() == commonpb.CompactionState_Completed {
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return true
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}
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mlog.Info(context.TODO(), "waiting for compaction", mlog.String("state", resp.GetState().String()))
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return false
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}
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for !compacted() {
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select {
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case <-ctx.Done():
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s.FailNow("compaction did not complete within timeout")
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default:
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time.Sleep(3 * time.Second)
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}
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}
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mlog.Info(context.TODO(), "compaction completed")
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// verify: get segment info after compaction
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desCollResp, err := c.MilvusClient.DescribeCollection(ctx, &milvuspb.DescribeCollectionRequest{
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CollectionName: collectionName,
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})
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s.NoError(err)
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s.Equal(commonpb.ErrorCode_Success, desCollResp.GetStatus().GetErrorCode())
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flushedSegmentsResp, err := c.MixCoordClient.GetFlushedSegments(ctx, &datapb.GetFlushedSegmentsRequest{
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CollectionID: desCollResp.GetCollectionID(),
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PartitionID: -1,
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})
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s.NoError(err)
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s.Equal(commonpb.ErrorCode_Success, flushedSegmentsResp.GetStatus().GetErrorCode())
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segsInfoResp, err := c.MixCoordClient.GetSegmentInfo(ctx, &datapb.GetSegmentInfoRequest{
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SegmentIDs: flushedSegmentsResp.GetSegments(),
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})
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s.NoError(err)
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s.Equal(commonpb.ErrorCode_Success, segsInfoResp.GetStatus().GetErrorCode())
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// verify 1: total row count unchanged
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totalRows := int64(0)
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segCountAfter := 0
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hasPartitionStats := false
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for _, segInfo := range segsInfoResp.GetInfos() {
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totalRows += segInfo.GetNumOfRows()
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if segInfo.GetState() == commonpb.SegmentState_Flushed {
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segCountAfter++
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}
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if segInfo.GetPartitionStatsVersion() > 0 {
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hasPartitionStats = true
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}
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mlog.Info(context.TODO(), "segment after compaction",
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mlog.Int64("id", segInfo.GetID()),
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mlog.String("state", segInfo.GetState().String()),
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mlog.String("level", segInfo.GetLevel().String()),
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mlog.Int64("numOfRows", segInfo.GetNumOfRows()),
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mlog.Int64("partitionStatsVersion", segInfo.GetPartitionStatsVersion()))
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}
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s.Equal(int64(rowNum), totalRows, "total row count should be unchanged after compaction")
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mlog.Info(context.TODO(), "segments after compaction", mlog.Int("count", segCountAfter))
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// verify 2: segment count changed (compaction merged segments)
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s.NotEqual(segCountBefore, segCountAfter, "segment count should change after clustering compaction")
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// verify 3: result segments have PartitionStatsVersion > 0 (proves clustering compaction ran)
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s.True(hasPartitionStats, "at least one result segment should have PartitionStatsVersion > 0")
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// verify 4: search still works correctly
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expr := fmt.Sprintf("%s > 0", integration.Int64Field)
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nq := 10
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topk := 10
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roundDecimal := -1
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params := integration.GetSearchParams(indexType, metricType)
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searchReq := integration.ConstructSearchRequest("", collectionName, expr,
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fVecColumn.FieldName, vecType, nil, metricType, params, nq, dim, topk, roundDecimal)
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searchResult, err := c.MilvusClient.Search(ctx, searchReq)
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err = merr.CheckRPCCall(searchResult, err)
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s.NoError(err)
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// verify 5: query segment info matches total row count
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checkWaitGroup := sync.WaitGroup{}
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checkWaitGroup.Add(1)
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go func() {
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defer checkWaitGroup.Done()
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timeoutCtx, cancelFunc := context.WithTimeout(ctx, time.Minute*2)
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defer cancelFunc()
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for {
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select {
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case <-timeoutCtx.Done():
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s.Fail("check query segment info timeout")
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return
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default:
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querySegmentInfo, err := c.MilvusClient.GetQuerySegmentInfo(timeoutCtx, &milvuspb.GetQuerySegmentInfoRequest{
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DbName: dbName,
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CollectionName: collectionName,
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})
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s.NoError(err)
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var queryRows int64
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for _, seg := range querySegmentInfo.Infos {
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queryRows += seg.NumRows
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}
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if queryRows == rowNum {
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return
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}
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}
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time.Sleep(time.Second * 3)
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}
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}()
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checkWaitGroup.Wait()
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mlog.Info(context.TODO(), "TestVectorClusteringCompaction succeed")
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}
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func TestVectorClusteringCompaction(t *testing.T) {
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suite.Run(t, new(VectorClusteringCompactionSuite))
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}
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