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https://gitee.com/milvus-io/milvus.git
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387 lines
12 KiB
Go
387 lines
12 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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"go.uber.org/zap"
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"google.golang.org/protobuf/proto"
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"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
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"github.com/milvus-io/milvus-proto/go-api/v2/milvuspb"
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"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
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"github.com/milvus-io/milvus/internal/proto/datapb"
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"github.com/milvus-io/milvus/pkg/common"
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"github.com/milvus-io/milvus/pkg/log"
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"github.com/milvus-io/milvus/pkg/util/funcutil"
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"github.com/milvus-io/milvus/pkg/util/merr"
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"github.com/milvus-io/milvus/pkg/util/metric"
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"github.com/milvus-io/milvus/pkg/util/paramtable"
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"github.com/milvus-io/milvus/tests/integration"
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)
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type ClusteringCompactionSuite struct {
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integration.MiniClusterSuite
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}
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func (s *ClusteringCompactionSuite) SetupSuite() {
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paramtable.Init()
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paramtable.Get().Save(paramtable.Get().DataCoordCfg.TaskCheckInterval.Key, "1")
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paramtable.Get().Save(paramtable.Get().DataCoordCfg.IndexTaskSchedulerInterval.Key, "100")
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s.Require().NoError(s.SetupEmbedEtcd())
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}
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func (s *ClusteringCompactionSuite) TestClusteringCompaction() {
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ctx, cancel := context.WithCancel(context.Background())
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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 := "TestClusteringCompaction" + funcutil.GenRandomStr()
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// 2000 rows for each segment, about 1MB.
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paramtable.Get().Save(paramtable.Get().DataCoordCfg.SegmentMaxSize.Key, strconv.Itoa(1))
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defer paramtable.Get().Reset(paramtable.Get().DataCoordCfg.SegmentMaxSize.Key)
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paramtable.Get().Save(paramtable.Get().PulsarCfg.MaxMessageSize.Key, strconv.Itoa(500*1024))
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defer paramtable.Get().Reset(paramtable.Get().PulsarCfg.MaxMessageSize.Key)
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paramtable.Get().Save(paramtable.Get().DataNodeCfg.ClusteringCompactionWorkerPoolSize.Key, strconv.Itoa(8))
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defer paramtable.Get().Reset(paramtable.Get().DataNodeCfg.ClusteringCompactionWorkerPoolSize.Key)
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paramtable.Get().Save(paramtable.Get().DataNodeCfg.BinLogMaxSize.Key, strconv.Itoa(102400))
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defer paramtable.Get().Reset(paramtable.Get().DataNodeCfg.BinLogMaxSize.Key)
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paramtable.Get().Save(paramtable.Get().DataCoordCfg.EnableAutoCompaction.Key, "false")
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defer paramtable.Get().Reset(paramtable.Get().DataCoordCfg.EnableAutoCompaction.Key)
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paramtable.Get().Save(paramtable.Get().DataCoordCfg.SegmentMaxSize.Key, "1")
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defer paramtable.Get().Reset(paramtable.Get().DataCoordCfg.SegmentMaxSize.Key)
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paramtable.Get().Save(paramtable.Get().DataCoordCfg.ClusteringCompactionMaxSegmentSizeRatio.Key, "1.0")
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defer paramtable.Get().Reset(paramtable.Get().DataCoordCfg.ClusteringCompactionMaxSegmentSizeRatio.Key)
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paramtable.Get().Save(paramtable.Get().DataCoordCfg.ClusteringCompactionPreferSegmentSizeRatio.Key, "1.0")
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defer paramtable.Get().Reset(paramtable.Get().DataCoordCfg.ClusteringCompactionPreferSegmentSizeRatio.Key)
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schema := ConstructScalarClusteringSchema(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.Proxy.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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if createCollectionStatus.GetErrorCode() != commonpb.ErrorCode_Success {
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log.Warn("createCollectionStatus fail reason", zap.String("reason", createCollectionStatus.GetReason()))
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}
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s.Equal(createCollectionStatus.GetErrorCode(), commonpb.ErrorCode_Success)
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log.Info("CreateCollection result", zap.Any("createCollectionStatus", createCollectionStatus))
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showCollectionsResp, err := c.Proxy.ShowCollections(ctx, &milvuspb.ShowCollectionsRequest{})
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s.NoError(err)
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s.Equal(showCollectionsResp.GetStatus().GetErrorCode(), commonpb.ErrorCode_Success)
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log.Info("ShowCollections result", zap.Any("showCollectionsResp", showCollectionsResp))
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fVecColumn := integration.NewFloatVectorFieldData(integration.FloatVecField, rowNum, dim)
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clusteringColumn := integration.NewInt64SameFieldData("clustering", rowNum, 100)
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hashKeys := integration.GenerateHashKeys(rowNum)
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insertResult, err := c.Proxy.Insert(ctx, &milvuspb.InsertRequest{
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DbName: dbName,
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CollectionName: collectionName,
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FieldsData: []*schemapb.FieldData{clusteringColumn, 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(insertResult.GetStatus().GetErrorCode(), commonpb.ErrorCode_Success)
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// flush
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flushResp, err := c.Proxy.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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segments, err := c.MetaWatcher.ShowSegments()
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s.NoError(err)
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s.NotEmpty(segments)
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for _, segment := range segments {
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log.Info("ShowSegments result", zap.String("segment", segment.String()))
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}
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s.WaitForFlush(ctx, ids, flushTs, dbName, collectionName)
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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.Proxy.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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if createIndexStatus.GetErrorCode() != commonpb.ErrorCode_Success {
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log.Warn("createIndexStatus fail reason", zap.String("reason", createIndexStatus.GetReason()))
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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.Proxy.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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if loadStatus.GetErrorCode() != commonpb.ErrorCode_Success {
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log.Warn("loadStatus fail reason", zap.String("reason", loadStatus.GetReason()))
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}
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s.Equal(commonpb.ErrorCode_Success, loadStatus.GetErrorCode())
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s.WaitForLoad(ctx, collectionName)
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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.Proxy.ManualCompaction(ctx, compactReq)
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s.NoError(err)
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log.Info("compact", zap.Any("compactResp", compactResp))
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compacted := func() bool {
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resp, err := c.Proxy.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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return resp.GetState() == commonpb.CompactionState_Completed
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}
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for !compacted() {
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time.Sleep(3 * time.Second)
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}
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desCollResp, err := c.Proxy.DescribeCollection(ctx, &milvuspb.DescribeCollectionRequest{
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CollectionName: collectionName,
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CollectionID: 0,
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TimeStamp: 0,
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})
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s.NoError(err)
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s.Equal(desCollResp.GetStatus().GetErrorCode(), commonpb.ErrorCode_Success)
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flushedSegmentsResp, err := c.DataCoord.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(flushedSegmentsResp.GetStatus().GetErrorCode(), commonpb.ErrorCode_Success)
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// 30000*(128*4+8+8) = 15.1MB/1MB = 15+1
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// The check is done every 100 lines written, so the size of each segment may be up to 99 lines larger.
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s.Contains([]int{15, 16}, len(flushedSegmentsResp.GetSegments()))
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log.Info("get flushed segments done", zap.Int64s("segments", flushedSegmentsResp.GetSegments()))
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totalRows := int64(0)
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segsInfoResp, err := c.DataCoord.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(segsInfoResp.GetStatus().GetErrorCode(), commonpb.ErrorCode_Success)
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for _, segInfo := range segsInfoResp.GetInfos() {
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s.LessOrEqual(segInfo.GetNumOfRows(), int64(1024*1024/128))
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totalRows += segInfo.GetNumOfRows()
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}
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s.Equal(int64(rowNum), totalRows)
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log.Info("compact done")
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// search
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expr := "clustering > 0"
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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.Proxy.Search(ctx, searchReq)
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err = merr.CheckRPCCall(searchResult, err)
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s.NoError(err)
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checkWaitGroup := sync.WaitGroup{}
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checkQuerySegmentInfo := func() bool {
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querySegmentInfo, err := c.Proxy.GetQuerySegmentInfo(ctx, &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 = 0
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for _, seg := range querySegmentInfo.Infos {
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queryRows += seg.NumRows
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}
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return queryRows == rowNum
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}
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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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if checkQuerySegmentInfo() {
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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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log.Info("TestClusteringCompaction succeed")
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}
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func ConstructScalarClusteringSchema(collection string, dim int, autoID bool, fields ...*schemapb.FieldSchema) *schemapb.CollectionSchema {
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// if fields are specified, construct it
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if len(fields) > 0 {
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return &schemapb.CollectionSchema{
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Name: collection,
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AutoID: autoID,
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Fields: fields,
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}
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}
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// if no field is specified, use default
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pk := &schemapb.FieldSchema{
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FieldID: 100,
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Name: integration.Int64Field,
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IsPrimaryKey: true,
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Description: "",
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DataType: schemapb.DataType_Int64,
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TypeParams: nil,
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IndexParams: nil,
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AutoID: autoID,
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IsClusteringKey: false,
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}
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clusteringField := &schemapb.FieldSchema{
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FieldID: 101,
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Name: "clustering",
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IsPrimaryKey: false,
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Description: "clustering key",
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DataType: schemapb.DataType_Int64,
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IsClusteringKey: true,
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}
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fVec := &schemapb.FieldSchema{
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FieldID: 102,
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Name: integration.FloatVecField,
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IsPrimaryKey: false,
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Description: "",
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DataType: schemapb.DataType_FloatVector,
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TypeParams: []*commonpb.KeyValuePair{
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{
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Key: common.DimKey,
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Value: fmt.Sprintf("%d", dim),
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},
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},
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IndexParams: nil,
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}
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return &schemapb.CollectionSchema{
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Name: collection,
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AutoID: autoID,
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Fields: []*schemapb.FieldSchema{pk, clusteringField, fVec},
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}
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}
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func ConstructVectorClusteringSchema(collection string, dim int, autoID bool, fields ...*schemapb.FieldSchema) *schemapb.CollectionSchema {
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// if fields are specified, construct it
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if len(fields) > 0 {
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return &schemapb.CollectionSchema{
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Name: collection,
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AutoID: autoID,
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Fields: fields,
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}
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}
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// if no field is specified, use default
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pk := &schemapb.FieldSchema{
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FieldID: 100,
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Name: integration.Int64Field,
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IsPrimaryKey: true,
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Description: "",
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DataType: schemapb.DataType_Int64,
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TypeParams: nil,
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IndexParams: nil,
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AutoID: autoID,
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}
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fVec := &schemapb.FieldSchema{
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FieldID: 101,
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Name: integration.FloatVecField,
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IsPrimaryKey: false,
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Description: "",
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DataType: schemapb.DataType_FloatVector,
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TypeParams: []*commonpb.KeyValuePair{
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{
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Key: common.DimKey,
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Value: fmt.Sprintf("%d", dim),
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},
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},
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IndexParams: nil,
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IsClusteringKey: true,
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}
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return &schemapb.CollectionSchema{
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Name: collection,
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AutoID: autoID,
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Fields: []*schemapb.FieldSchema{pk, fVec},
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}
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}
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func TestClusteringCompaction(t *testing.T) {
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suite.Run(t, new(ClusteringCompactionSuite))
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}
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