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https://gitee.com/milvus-io/milvus.git
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d16320705e
Cherry-pick from master pr: #34763 See also #34746 This PR add segment level field in response of `GetPersistentSegmentInfo` and `GetQuerySegmentInfo` --------- --------- Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
270 lines
7.8 KiB
Go
270 lines
7.8 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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"testing"
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"time"
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"github.com/cockroachdb/errors"
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"github.com/samber/lo"
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"github.com/stretchr/testify/mock"
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"github.com/stretchr/testify/suite"
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"go.uber.org/atomic"
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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/schemapb"
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"github.com/milvus-io/milvus/internal/datanode/allocator"
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"github.com/milvus-io/milvus/internal/datanode/io"
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"github.com/milvus-io/milvus/internal/proto/datapb"
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"github.com/milvus-io/milvus/internal/storage"
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"github.com/milvus-io/milvus/pkg/common"
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"github.com/milvus-io/milvus/pkg/util/merr"
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"github.com/milvus-io/milvus/pkg/util/paramtable"
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"github.com/milvus-io/milvus/pkg/util/tsoutil"
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)
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func TestClusteringCompactionTaskSuite(t *testing.T) {
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suite.Run(t, new(ClusteringCompactionTaskSuite))
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}
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type ClusteringCompactionTaskSuite struct {
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suite.Suite
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mockBinlogIO *io.MockBinlogIO
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mockAlloc *allocator.MockAllocator
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mockID atomic.Int64
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segWriter *SegmentWriter
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task *clusteringCompactionTask
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plan *datapb.CompactionPlan
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}
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func (s *ClusteringCompactionTaskSuite) SetupSuite() {
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paramtable.Get().Init(paramtable.NewBaseTable())
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}
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func (s *ClusteringCompactionTaskSuite) SetupTest() {
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s.mockBinlogIO = io.NewMockBinlogIO(s.T())
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s.mockBinlogIO.EXPECT().Upload(mock.Anything, mock.Anything).Return(nil).Maybe()
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s.mockAlloc = allocator.NewMockAllocator(s.T())
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s.mockID.Store(time.Now().UnixMilli())
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s.mockAlloc.EXPECT().Alloc(mock.Anything).RunAndReturn(func(x uint32) (int64, int64, error) {
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start := s.mockID.Load()
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end := s.mockID.Add(int64(x))
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return start, end, nil
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}).Maybe()
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s.mockAlloc.EXPECT().AllocOne().RunAndReturn(func() (int64, error) {
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end := s.mockID.Add(1)
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return end, nil
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}).Maybe()
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s.task = NewClusteringCompactionTask(context.Background(), s.mockBinlogIO, s.mockAlloc, nil)
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paramtable.Get().Save(paramtable.Get().CommonCfg.EntityExpirationTTL.Key, "0")
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s.plan = &datapb.CompactionPlan{
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PlanID: 999,
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SegmentBinlogs: []*datapb.CompactionSegmentBinlogs{{
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SegmentID: 100,
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FieldBinlogs: nil,
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Field2StatslogPaths: nil,
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Deltalogs: nil,
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}},
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TimeoutInSeconds: 10,
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Type: datapb.CompactionType_ClusteringCompaction,
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}
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s.task.plan = s.plan
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}
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func (s *ClusteringCompactionTaskSuite) SetupSubTest() {
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s.SetupTest()
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}
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func (s *ClusteringCompactionTaskSuite) TearDownTest() {
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paramtable.Get().Reset(paramtable.Get().CommonCfg.EntityExpirationTTL.Key)
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}
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func (s *ClusteringCompactionTaskSuite) TestWrongCompactionType() {
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s.plan.Type = datapb.CompactionType_MixCompaction
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result, err := s.task.Compact()
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s.Empty(result)
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s.Require().Error(err)
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s.Equal(true, errors.Is(err, merr.ErrIllegalCompactionPlan))
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}
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func (s *ClusteringCompactionTaskSuite) TestContextDown() {
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ctx, cancel := context.WithCancel(context.Background())
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s.task.ctx = ctx
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cancel()
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result, err := s.task.Compact()
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s.Empty(result)
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s.Require().Error(err)
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}
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func (s *ClusteringCompactionTaskSuite) TestIsVectorClusteringKey() {
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s.task.plan.Schema = genCollectionSchema()
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s.task.plan.ClusteringKeyField = 100
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s.task.init()
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s.Equal(false, s.task.isVectorClusteringKey)
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s.task.plan.ClusteringKeyField = 103
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s.task.init()
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s.Equal(true, s.task.isVectorClusteringKey)
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}
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func (s *ClusteringCompactionTaskSuite) TestCompactionWithEmptyBinlog() {
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s.task.plan.Schema = genCollectionSchema()
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s.task.plan.ClusteringKeyField = 100
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_, err := s.task.Compact()
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s.Require().Error(err)
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s.Equal(true, errors.Is(err, merr.ErrIllegalCompactionPlan))
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s.task.plan.SegmentBinlogs = []*datapb.CompactionSegmentBinlogs{}
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_, err2 := s.task.Compact()
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s.Require().Error(err2)
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s.Equal(true, errors.Is(err2, merr.ErrIllegalCompactionPlan))
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}
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func (s *ClusteringCompactionTaskSuite) TestCompactionWithEmptySchema() {
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s.task.plan.ClusteringKeyField = 100
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_, err := s.task.Compact()
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s.Require().Error(err)
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s.Equal(true, errors.Is(err, merr.ErrIllegalCompactionPlan))
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}
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func (s *ClusteringCompactionTaskSuite) TestCompactionInit() {
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s.task.plan.Schema = genCollectionSchema()
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s.task.plan.ClusteringKeyField = 100
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s.task.plan.SegmentBinlogs = []*datapb.CompactionSegmentBinlogs{
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{
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SegmentID: 100,
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},
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}
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err := s.task.init()
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s.Require().NoError(err)
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s.Equal(s.task.primaryKeyField, s.task.plan.Schema.Fields[2])
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s.Equal(false, s.task.isVectorClusteringKey)
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s.Equal(true, s.task.memoryBufferSize > 0)
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s.Equal(8, s.task.getWorkerPoolSize())
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s.Equal(8, s.task.mappingPool.Cap())
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s.Equal(8, s.task.flushPool.Cap())
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}
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func (s *ClusteringCompactionTaskSuite) TestScalarCompactionNormal() {
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schema := genCollectionSchema()
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var segmentID int64 = 1001
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segWriter, err := NewSegmentWriter(schema, 1000, segmentID, PartitionID, CollectionID)
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s.Require().NoError(err)
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for i := 0; i < 1000; i++ {
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v := storage.Value{
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PK: storage.NewInt64PrimaryKey(int64(i)),
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Timestamp: int64(tsoutil.ComposeTSByTime(getMilvusBirthday(), 0)),
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Value: genRow(int64(i)),
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}
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err = segWriter.Write(&v)
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s.Require().NoError(err)
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}
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segWriter.writer.Flush()
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kvs, fBinlogs, err := serializeWrite(context.TODO(), s.mockAlloc, segWriter)
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s.mockBinlogIO.EXPECT().Download(mock.Anything, mock.Anything).Return(lo.Values(kvs), nil)
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s.plan.SegmentBinlogs = []*datapb.CompactionSegmentBinlogs{
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{
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SegmentID: 100,
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FieldBinlogs: lo.Values(fBinlogs),
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},
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}
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s.task.plan.Schema = genCollectionSchema()
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s.task.plan.ClusteringKeyField = 100
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s.task.plan.PreferSegmentRows = 100
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s.task.plan.MaxSegmentRows = 200
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compactionResult, err := s.task.Compact()
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s.Require().NoError(err)
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s.Equal(10, len(s.task.clusterBuffers))
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s.Equal(10, len(compactionResult.GetSegments()))
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}
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func genRow(magic int64) map[int64]interface{} {
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ts := tsoutil.ComposeTSByTime(getMilvusBirthday(), 0)
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return map[int64]interface{}{
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common.RowIDField: magic,
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common.TimeStampField: int64(ts),
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100: magic,
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101: int32(magic),
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102: "varchar",
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103: []float32{4, 5, 6, 7},
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}
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}
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func genCollectionSchema() *schemapb.CollectionSchema {
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return &schemapb.CollectionSchema{
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Name: "schema",
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Description: "schema",
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Fields: []*schemapb.FieldSchema{
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{
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FieldID: common.RowIDField,
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Name: "row_id",
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DataType: schemapb.DataType_Int64,
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},
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{
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FieldID: common.TimeStampField,
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Name: "Timestamp",
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DataType: schemapb.DataType_Int64,
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},
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{
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FieldID: 100,
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Name: "pk",
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DataType: schemapb.DataType_Int64,
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IsPrimaryKey: true,
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},
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{
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FieldID: 101,
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Name: "field_int32",
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DataType: schemapb.DataType_Int32,
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},
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{
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FieldID: 102,
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Name: "field_varchar",
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DataType: schemapb.DataType_VarChar,
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TypeParams: []*commonpb.KeyValuePair{
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{
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Key: common.MaxLengthKey,
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Value: "128",
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},
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},
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},
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{
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FieldID: 103,
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Name: "field_float_vector",
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Description: "float_vector",
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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: "4",
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},
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},
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},
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},
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}
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}
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