mirror of https://github.com/milvus-io/milvus.git
714 lines
21 KiB
Go
714 lines
21 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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"sync"
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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/flushcommon/io"
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"github.com/milvus-io/milvus/internal/storage"
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"github.com/milvus-io/milvus/pkg/v2/common"
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"github.com/milvus-io/milvus/pkg/v2/proto/datapb"
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"github.com/milvus-io/milvus/pkg/v2/util/merr"
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"github.com/milvus-io/milvus/pkg/v2/util/paramtable"
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"github.com/milvus-io/milvus/pkg/v2/util/tsoutil"
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"github.com/milvus-io/milvus/pkg/v2/util/typeutil"
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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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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, 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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dblobs, err := getInt64DeltaBlobs(
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1,
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[]int64{100},
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[]uint64{tsoutil.ComposeTSByTime(getMilvusBirthday().Add(time.Second), 0)},
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)
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s.Require().NoError(err)
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s.mockBinlogIO.EXPECT().Download(mock.Anything, []string{"1"}).
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Return([][]byte{dblobs.GetValue()}, nil).Once()
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schema := genCollectionSchema()
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var segmentID int64 = 1001
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segWriter, err := NewSegmentWriter(schema, 1000, compactionBatchSize, segmentID, PartitionID, CollectionID, []int64{})
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s.Require().NoError(err)
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for i := 0; i < 10240; 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.FlushAndIsFull()
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kvs, fBinlogs, err := serializeWrite(context.TODO(), s.mockAlloc, segWriter)
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s.NoError(err)
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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: segmentID,
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FieldBinlogs: lo.Values(fBinlogs),
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Deltalogs: []*datapb.FieldBinlog{
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{Binlogs: []*datapb.Binlog{{LogID: 1, LogPath: "1"}}},
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},
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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 = 2048
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s.task.plan.MaxSegmentRows = 2048
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s.task.plan.PreAllocatedSegmentIDs = &datapb.IDRange{
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Begin: time.Now().UnixMilli(),
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End: time.Now().UnixMilli() + 1000,
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}
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// 8+8+8+4+7+4*4=51
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// 51*1024 = 52224
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// writer will automatically flush after 1024 rows.
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paramtable.Get().Save(paramtable.Get().DataNodeCfg.BinLogMaxSize.Key, "52223")
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defer paramtable.Get().Reset(paramtable.Get().DataNodeCfg.BinLogMaxSize.Key)
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compactionResult, err := s.task.Compact()
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s.Require().NoError(err)
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s.Equal(5, len(s.task.clusterBuffers))
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s.Equal(5, len(compactionResult.GetSegments()))
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totalBinlogNum := 0
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totalRowNum := int64(0)
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for _, fb := range compactionResult.GetSegments()[0].GetInsertLogs() {
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for _, b := range fb.GetBinlogs() {
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totalBinlogNum++
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if fb.GetFieldID() == 100 {
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totalRowNum += b.GetEntriesNum()
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}
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}
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}
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statsBinlogNum := 0
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statsRowNum := int64(0)
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for _, sb := range compactionResult.GetSegments()[0].GetField2StatslogPaths() {
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for _, b := range sb.GetBinlogs() {
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statsBinlogNum++
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statsRowNum += b.GetEntriesNum()
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}
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}
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s.Equal(2, totalBinlogNum/len(schema.GetFields()))
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s.Equal(1, statsBinlogNum)
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s.Equal(totalRowNum, statsRowNum)
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s.EqualValues(10239,
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lo.SumBy(compactionResult.GetSegments(), func(seg *datapb.CompactionSegment) int64 {
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return seg.GetNumOfRows()
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}),
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)
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}
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func (s *ClusteringCompactionTaskSuite) TestScalarCompactionNormalByMemoryLimit() {
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schema := genCollectionSchema()
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var segmentID int64 = 1001
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segWriter, err := NewSegmentWriter(schema, 1000, compactionBatchSize, segmentID, PartitionID, CollectionID, []int64{})
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s.Require().NoError(err)
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for i := 0; i < 10240; 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.FlushAndIsFull()
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kvs, fBinlogs, err := serializeWrite(context.TODO(), s.mockAlloc, segWriter)
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s.NoError(err)
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var one sync.Once
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s.mockBinlogIO.EXPECT().Download(mock.Anything, mock.Anything).RunAndReturn(
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func(ctx context.Context, strings []string) ([][]byte, error) {
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// 32m, only two buffers can be generated
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one.Do(func() {
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s.task.memoryBufferSize = 32 * 1024 * 1024
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})
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return lo.Values(kvs), nil
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})
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s.plan.SegmentBinlogs = []*datapb.CompactionSegmentBinlogs{
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{
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SegmentID: segmentID,
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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 = 3000
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s.task.plan.MaxSegmentRows = 3000
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s.task.plan.PreAllocatedSegmentIDs = &datapb.IDRange{
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Begin: time.Now().UnixMilli(),
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End: time.Now().UnixMilli() + 1000,
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}
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// 8+8+8+4+7+4*4=51
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// 51*1024 = 52224
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// writer will automatically flush after 1024 rows.
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paramtable.Get().Save(paramtable.Get().DataNodeCfg.BinLogMaxSize.Key, "52223")
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defer paramtable.Get().Reset(paramtable.Get().DataNodeCfg.BinLogMaxSize.Key)
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paramtable.Get().Save(paramtable.Get().DataCoordCfg.ClusteringCompactionPreferSegmentSizeRatio.Key, "1")
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defer paramtable.Get().Reset(paramtable.Get().DataCoordCfg.ClusteringCompactionPreferSegmentSizeRatio.Key)
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compactionResult, err := s.task.Compact()
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s.Require().NoError(err)
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s.Equal(2, len(s.task.clusterBuffers))
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s.Equal(4, len(compactionResult.GetSegments()))
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totalBinlogNum := 0
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totalRowNum := int64(0)
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for _, fb := range compactionResult.GetSegments()[0].GetInsertLogs() {
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for _, b := range fb.GetBinlogs() {
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totalBinlogNum++
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if fb.GetFieldID() == 100 {
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totalRowNum += b.GetEntriesNum()
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}
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}
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}
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statsBinlogNum := 0
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statsRowNum := int64(0)
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for _, sb := range compactionResult.GetSegments()[0].GetField2StatslogPaths() {
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for _, b := range sb.GetBinlogs() {
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statsBinlogNum++
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statsRowNum += b.GetEntriesNum()
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}
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}
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s.Equal(3, totalBinlogNum/len(schema.GetFields()))
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s.Equal(1, statsBinlogNum)
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s.Equal(totalRowNum, statsRowNum)
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}
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func (s *ClusteringCompactionTaskSuite) TestCompactionWithBM25Function() {
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schema := genCollectionSchemaWithBM25()
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var segmentID int64 = 1001
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segWriter, err := NewSegmentWriter(schema, 1000, compactionBatchSize, segmentID, PartitionID, CollectionID, []int64{102})
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s.Require().NoError(err)
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for i := 0; i < 10240; 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: genRowWithBM25(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.FlushAndIsFull()
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kvs, fBinlogs, err := serializeWrite(context.TODO(), s.mockAlloc, segWriter)
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s.NoError(err)
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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: segmentID,
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FieldBinlogs: lo.Values(fBinlogs),
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},
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}
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s.task.bm25FieldIds = []int64{102}
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s.task.plan.Schema = schema
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s.task.plan.ClusteringKeyField = 100
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s.task.plan.PreferSegmentRows = 2048
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s.task.plan.MaxSegmentRows = 2048
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s.task.plan.PreAllocatedSegmentIDs = &datapb.IDRange{
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Begin: time.Now().UnixMilli(),
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End: time.Now().UnixMilli() + 1000,
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}
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// 8 + 8 + 8 + 7 + 8 = 39
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// 39*1024 = 39936
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// plus buffer on null bitsets etc., let's make it 45000
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// writer will automatically flush after 1024 rows.
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paramtable.Get().Save(paramtable.Get().DataNodeCfg.BinLogMaxSize.Key, "45000")
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defer paramtable.Get().Reset(paramtable.Get().DataNodeCfg.BinLogMaxSize.Key)
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compactionResult, err := s.task.Compact()
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s.Require().NoError(err)
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s.Equal(5, len(s.task.clusterBuffers))
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s.Equal(5, len(compactionResult.GetSegments()))
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totalBinlogNum := 0
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totalRowNum := int64(0)
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for _, fb := range compactionResult.GetSegments()[0].GetInsertLogs() {
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for _, b := range fb.GetBinlogs() {
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totalBinlogNum++
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if fb.GetFieldID() == 100 {
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totalRowNum += b.GetEntriesNum()
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}
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}
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}
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statsBinlogNum := 0
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statsRowNum := int64(0)
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for _, sb := range compactionResult.GetSegments()[0].GetField2StatslogPaths() {
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for _, b := range sb.GetBinlogs() {
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statsBinlogNum++
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statsRowNum += b.GetEntriesNum()
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}
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}
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s.Equal(2, totalBinlogNum/len(schema.GetFields()))
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s.Equal(1, statsBinlogNum)
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s.Equal(totalRowNum, statsRowNum)
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bm25BinlogNum := 0
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bm25RowNum := int64(0)
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for _, bmb := range compactionResult.GetSegments()[0].GetBm25Logs() {
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for _, b := range bmb.GetBinlogs() {
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bm25BinlogNum++
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bm25RowNum += b.GetEntriesNum()
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}
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}
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s.Equal(1, bm25BinlogNum)
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s.Equal(totalRowNum, bm25RowNum)
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}
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func (s *ClusteringCompactionTaskSuite) TestCheckBuffersAfterCompaction() {
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s.Run("no leak", func() {
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task := &clusteringCompactionTask{clusterBuffers: []*ClusterBuffer{{}}}
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s.NoError(task.checkBuffersAfterCompaction())
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})
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s.Run("leak binlog", func() {
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task := &clusteringCompactionTask{
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clusterBuffers: []*ClusterBuffer{
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{
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flushedBinlogs: map[typeutil.UniqueID]map[typeutil.UniqueID]*datapb.FieldBinlog{
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1: {
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101: {
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FieldID: 101,
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Binlogs: []*datapb.Binlog{{LogID: 1000}},
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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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s.Error(task.checkBuffersAfterCompaction())
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})
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}
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func (s *ClusteringCompactionTaskSuite) TestGenerateBM25Stats() {
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s.Run("normal case", func() {
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segmentID := int64(1)
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task := &clusteringCompactionTask{
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collectionID: 111,
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partitionID: 222,
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bm25FieldIds: []int64{102},
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logIDAlloc: s.mockAlloc,
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binlogIO: s.mockBinlogIO,
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}
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statsMap := make(map[int64]*storage.BM25Stats)
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statsMap[102] = storage.NewBM25Stats()
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statsMap[102].Append(map[uint32]float32{1: 1})
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binlogs, err := task.generateBM25Stats(context.Background(), segmentID, statsMap)
|
|
s.NoError(err)
|
|
s.Equal(1, len(binlogs))
|
|
s.Equal(1, len(binlogs[0].Binlogs))
|
|
s.Equal(int64(102), binlogs[0].FieldID)
|
|
s.Equal(int64(1), binlogs[0].Binlogs[0].GetEntriesNum())
|
|
})
|
|
|
|
s.Run("alloc ID failed", func() {
|
|
segmentID := int64(1)
|
|
mockAlloc := allocator.NewMockAllocator(s.T())
|
|
mockAlloc.EXPECT().Alloc(mock.Anything).Return(0, 0, fmt.Errorf("mock error")).Once()
|
|
|
|
task := &clusteringCompactionTask{
|
|
collectionID: 111,
|
|
partitionID: 222,
|
|
bm25FieldIds: []int64{102},
|
|
logIDAlloc: mockAlloc,
|
|
}
|
|
|
|
statsMap := make(map[int64]*storage.BM25Stats)
|
|
statsMap[102] = storage.NewBM25Stats()
|
|
statsMap[102].Append(map[uint32]float32{1: 1})
|
|
|
|
_, err := task.generateBM25Stats(context.Background(), segmentID, statsMap)
|
|
s.Error(err)
|
|
})
|
|
|
|
s.Run("upload failed", func() {
|
|
segmentID := int64(1)
|
|
mockBinlogIO := io.NewMockBinlogIO(s.T())
|
|
mockBinlogIO.EXPECT().Upload(mock.Anything, mock.Anything).Return(fmt.Errorf("mock error")).Once()
|
|
|
|
task := &clusteringCompactionTask{
|
|
collectionID: 111,
|
|
partitionID: 222,
|
|
bm25FieldIds: []int64{102},
|
|
logIDAlloc: s.mockAlloc,
|
|
binlogIO: mockBinlogIO,
|
|
}
|
|
|
|
statsMap := make(map[int64]*storage.BM25Stats)
|
|
statsMap[102] = storage.NewBM25Stats()
|
|
statsMap[102].Append(map[uint32]float32{1: 1})
|
|
|
|
_, err := task.generateBM25Stats(context.Background(), segmentID, statsMap)
|
|
s.Error(err)
|
|
})
|
|
}
|
|
|
|
func (s *ClusteringCompactionTaskSuite) TestGeneratePkStats() {
|
|
pkField := &schemapb.FieldSchema{
|
|
FieldID: 100,
|
|
Name: "pk",
|
|
IsPrimaryKey: true,
|
|
Description: "",
|
|
DataType: schemapb.DataType_Int64,
|
|
}
|
|
s.Run("num rows zero", func() {
|
|
task := &clusteringCompactionTask{
|
|
primaryKeyField: pkField,
|
|
}
|
|
binlogs, err := task.generatePkStats(context.Background(), 1, 0, nil)
|
|
s.Error(err)
|
|
s.Nil(binlogs)
|
|
})
|
|
|
|
s.Run("download binlogs failed", func() {
|
|
s.mockBinlogIO.EXPECT().Download(mock.Anything, mock.Anything).Return(nil, fmt.Errorf("mock error"))
|
|
task := &clusteringCompactionTask{
|
|
binlogIO: s.mockBinlogIO,
|
|
primaryKeyField: pkField,
|
|
}
|
|
binlogs, err := task.generatePkStats(context.Background(), 1, 100, [][]string{{"abc", "def"}})
|
|
s.Error(err)
|
|
s.Nil(binlogs)
|
|
})
|
|
|
|
s.Run("NewInsertBinlogIterator failed", func() {
|
|
s.mockBinlogIO.EXPECT().Download(mock.Anything, mock.Anything).Return([][]byte{[]byte("mock")}, nil)
|
|
task := &clusteringCompactionTask{
|
|
binlogIO: s.mockBinlogIO,
|
|
primaryKeyField: pkField,
|
|
}
|
|
binlogs, err := task.generatePkStats(context.Background(), 1, 100, [][]string{{"abc", "def"}})
|
|
s.Error(err)
|
|
s.Nil(binlogs)
|
|
})
|
|
|
|
s.Run("upload failed", func() {
|
|
schema := genCollectionSchema()
|
|
segWriter, err := NewSegmentWriter(schema, 1000, compactionBatchSize, SegmentID, PartitionID, CollectionID, []int64{})
|
|
s.Require().NoError(err)
|
|
for i := 0; i < 2000; i++ {
|
|
v := storage.Value{
|
|
PK: storage.NewInt64PrimaryKey(int64(i)),
|
|
Timestamp: int64(tsoutil.ComposeTSByTime(getMilvusBirthday(), 0)),
|
|
Value: genRow(int64(i)),
|
|
}
|
|
err = segWriter.Write(&v)
|
|
s.Require().NoError(err)
|
|
}
|
|
segWriter.FlushAndIsFull()
|
|
|
|
kvs, _, err := serializeWrite(context.TODO(), s.mockAlloc, segWriter)
|
|
s.NoError(err)
|
|
mockBinlogIO := io.NewMockBinlogIO(s.T())
|
|
mockBinlogIO.EXPECT().Download(mock.Anything, mock.Anything).Return(lo.Values(kvs), nil)
|
|
mockBinlogIO.EXPECT().Upload(mock.Anything, mock.Anything).Return(fmt.Errorf("mock error"))
|
|
task := &clusteringCompactionTask{
|
|
collectionID: CollectionID,
|
|
partitionID: PartitionID,
|
|
plan: &datapb.CompactionPlan{
|
|
Schema: genCollectionSchema(),
|
|
},
|
|
binlogIO: mockBinlogIO,
|
|
primaryKeyField: pkField,
|
|
logIDAlloc: s.mockAlloc,
|
|
}
|
|
|
|
binlogs, err := task.generatePkStats(context.Background(), 1, 100, [][]string{{"abc", "def"}})
|
|
s.Error(err)
|
|
s.Nil(binlogs)
|
|
})
|
|
}
|
|
|
|
func genRow(magic int64) map[int64]interface{} {
|
|
ts := tsoutil.ComposeTSByTime(getMilvusBirthday(), 0)
|
|
return map[int64]interface{}{
|
|
common.RowIDField: magic,
|
|
common.TimeStampField: int64(ts),
|
|
100: magic,
|
|
101: int32(magic),
|
|
102: "varchar",
|
|
103: []float32{4, 5, 6, 7},
|
|
}
|
|
}
|
|
|
|
func genCollectionSchema() *schemapb.CollectionSchema {
|
|
return &schemapb.CollectionSchema{
|
|
Name: "schema",
|
|
Description: "schema",
|
|
Fields: []*schemapb.FieldSchema{
|
|
{
|
|
FieldID: common.RowIDField,
|
|
Name: "row_id",
|
|
DataType: schemapb.DataType_Int64,
|
|
},
|
|
{
|
|
FieldID: common.TimeStampField,
|
|
Name: "Timestamp",
|
|
DataType: schemapb.DataType_Int64,
|
|
},
|
|
{
|
|
FieldID: 100,
|
|
Name: "pk",
|
|
DataType: schemapb.DataType_Int64,
|
|
IsPrimaryKey: true,
|
|
},
|
|
{
|
|
FieldID: 101,
|
|
Name: "field_int32",
|
|
DataType: schemapb.DataType_Int32,
|
|
},
|
|
{
|
|
FieldID: 102,
|
|
Name: "field_varchar",
|
|
DataType: schemapb.DataType_VarChar,
|
|
TypeParams: []*commonpb.KeyValuePair{
|
|
{
|
|
Key: common.MaxLengthKey,
|
|
Value: "128",
|
|
},
|
|
},
|
|
},
|
|
{
|
|
FieldID: 103,
|
|
Name: "field_float_vector",
|
|
Description: "float_vector",
|
|
DataType: schemapb.DataType_FloatVector,
|
|
TypeParams: []*commonpb.KeyValuePair{
|
|
{
|
|
Key: common.DimKey,
|
|
Value: "4",
|
|
},
|
|
},
|
|
},
|
|
},
|
|
}
|
|
}
|
|
|
|
func genCollectionSchemaWithBM25() *schemapb.CollectionSchema {
|
|
return &schemapb.CollectionSchema{
|
|
Name: "schema",
|
|
Description: "schema",
|
|
Fields: []*schemapb.FieldSchema{
|
|
{
|
|
FieldID: common.RowIDField,
|
|
Name: "row_id",
|
|
DataType: schemapb.DataType_Int64,
|
|
},
|
|
{
|
|
FieldID: common.TimeStampField,
|
|
Name: "Timestamp",
|
|
DataType: schemapb.DataType_Int64,
|
|
},
|
|
{
|
|
FieldID: 100,
|
|
Name: "pk",
|
|
DataType: schemapb.DataType_Int64,
|
|
IsPrimaryKey: true,
|
|
},
|
|
{
|
|
FieldID: 101,
|
|
Name: "text",
|
|
DataType: schemapb.DataType_VarChar,
|
|
TypeParams: []*commonpb.KeyValuePair{
|
|
{
|
|
Key: common.MaxLengthKey,
|
|
Value: "8",
|
|
},
|
|
},
|
|
},
|
|
{
|
|
FieldID: 102,
|
|
Name: "sparse",
|
|
DataType: schemapb.DataType_SparseFloatVector,
|
|
},
|
|
},
|
|
Functions: []*schemapb.FunctionSchema{{
|
|
Name: "BM25",
|
|
Id: 100,
|
|
Type: schemapb.FunctionType_BM25,
|
|
InputFieldNames: []string{"text"},
|
|
InputFieldIds: []int64{101},
|
|
OutputFieldNames: []string{"sparse"},
|
|
OutputFieldIds: []int64{102},
|
|
}},
|
|
}
|
|
}
|
|
|
|
func genRowWithBM25(magic int64) map[int64]interface{} {
|
|
ts := tsoutil.ComposeTSByTime(getMilvusBirthday(), 0)
|
|
return map[int64]interface{}{
|
|
common.RowIDField: magic,
|
|
common.TimeStampField: int64(ts),
|
|
100: magic,
|
|
101: "varchar",
|
|
102: typeutil.CreateAndSortSparseFloatRow(map[uint32]float32{1: 1}),
|
|
}
|
|
}
|