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milvus-io--milvus/tests/integration/compaction/clustering_compaction_vector_test.go
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chore: import upstream snapshot with attribution
2026-07-13 12:31:17 +08:00

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