mirror of
https://gitee.com/milvus-io/milvus.git
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2c9bb4dfa3
issue: #33744 This PR includes the following changes: 1. Added a new task type to the task scheduler in datacoord: stats task, which sorts segments by primary key. 2. Implemented segment sorting in indexnode. 3. Added a new field `FieldStatsLog` to SegmentInfo to store token index information. --------- Signed-off-by: Cai Zhang <cai.zhang@zilliz.com>
207 lines
6.8 KiB
Go
207 lines
6.8 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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"time"
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"github.com/samber/lo"
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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/tests/integration"
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)
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func (s *CompactionSuite) TestMixCompaction() {
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ctx, cancel := context.WithTimeout(context.Background(), time.Minute*10)
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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 = 10000
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batch = 1000
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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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)
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collectionName := "TestCompaction_" + funcutil.GenRandomStr()
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schema := integration.ConstructSchemaOfVecDataType(collectionName, dim, true, vecType)
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marshaledSchema, err := proto.Marshal(schema)
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s.NoError(err)
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// create collection
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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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ConsistencyLevel: commonpb.ConsistencyLevel_Strong,
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})
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err = merr.CheckRPCCall(createCollectionStatus, err)
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s.NoError(err)
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log.Info("CreateCollection result", zap.Any("createCollectionStatus", createCollectionStatus))
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// show collection
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showCollectionsResp, err := c.Proxy.ShowCollections(ctx, &milvuspb.ShowCollectionsRequest{})
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err = merr.CheckRPCCall(showCollectionsResp, err)
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s.NoError(err)
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log.Info("ShowCollections result", zap.Any("showCollectionsResp", showCollectionsResp))
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for i := 0; i < rowNum/batch; i++ {
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// insert
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fVecColumn := integration.NewFloatVectorFieldData(integration.FloatVecField, batch, dim)
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hashKeys := integration.GenerateHashKeys(batch)
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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{fVecColumn},
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HashKeys: hashKeys,
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NumRows: uint32(batch),
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})
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err = merr.CheckRPCCall(insertResult, err)
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s.NoError(err)
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s.Equal(int64(batch), insertResult.GetInsertCnt())
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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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err = merr.CheckRPCCall(flushResp, err)
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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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log.Info("insert done", zap.Int("i", i))
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}
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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: integration.FloatVecField,
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IndexName: "_default",
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ExtraParams: integration.ConstructIndexParam(dim, indexType, metricType),
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})
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err = merr.CheckRPCCall(createIndexStatus, err)
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s.NoError(err)
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s.WaitForIndexBuilt(ctx, collectionName, integration.FloatVecField)
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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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// stats task happened
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s.Equal(rowNum/batch, len(segments)/2)
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for _, segment := range segments {
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log.Info("show segment result", zap.String("segment", segment.String()))
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}
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// wait for compaction completed
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showSegments := func() bool {
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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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compactFromSegments := lo.Filter(segments, func(segment *datapb.SegmentInfo, _ int) bool {
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return segment.GetState() == commonpb.SegmentState_Dropped
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})
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compactToSegments := lo.Filter(segments, func(segment *datapb.SegmentInfo, _ int) bool {
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return segment.GetState() == commonpb.SegmentState_Flushed
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})
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log.Info("ShowSegments result", zap.Int("len(compactFromSegments)", len(compactFromSegments)),
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zap.Int("len(compactToSegments)", len(compactToSegments)))
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return len(compactToSegments) == 1
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}
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for !showSegments() {
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select {
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case <-ctx.Done():
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s.Fail("waiting for compaction timeout")
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return
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case <-time.After(1 * time.Second):
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}
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}
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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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err = merr.CheckRPCCall(loadStatus, err)
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s.NoError(err)
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s.WaitForLoad(ctx, collectionName)
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// search
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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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integration.FloatVecField, 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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s.Equal(nq*topk, len(searchResult.GetResults().GetScores()))
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// query
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queryResult, err := c.Proxy.Query(ctx, &milvuspb.QueryRequest{
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DbName: dbName,
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CollectionName: collectionName,
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Expr: "",
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OutputFields: []string{"count(*)"},
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})
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err = merr.CheckRPCCall(queryResult, err)
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s.NoError(err)
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s.Equal(int64(rowNum), queryResult.GetFieldsData()[0].GetScalars().GetLongData().GetData()[0])
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// release collection
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status, err := c.Proxy.ReleaseCollection(ctx, &milvuspb.ReleaseCollectionRequest{
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CollectionName: collectionName,
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})
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err = merr.CheckRPCCall(status, err)
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s.NoError(err)
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// drop collection
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// status, err = c.Proxy.DropCollection(ctx, &milvuspb.DropCollectionRequest{
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// CollectionName: collectionName,
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// })
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// err = merr.CheckRPCCall(status, err)
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// s.NoError(err)
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log.Info("Test compaction succeed")
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}
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