mirror of
https://gitee.com/milvus-io/milvus.git
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c4f3f0ce4c
ref: https://github.com/milvus-io/milvus/issues/42148 --------- Signed-off-by: SpadeA <tangchenjie1210@gmail.com> Signed-off-by: SpadeA-Tang <tangchenjie1210@gmail.com>
553 lines
19 KiB
Go
553 lines
19 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 importv2
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import (
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"context"
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"fmt"
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"strconv"
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"strings"
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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/proxy"
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"github.com/milvus-io/milvus/internal/util/importutilv2"
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"github.com/milvus-io/milvus/pkg/v2/common"
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"github.com/milvus-io/milvus/pkg/v2/log"
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"github.com/milvus-io/milvus/pkg/v2/proto/datapb"
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"github.com/milvus-io/milvus/pkg/v2/proto/internalpb"
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"github.com/milvus-io/milvus/pkg/v2/util/funcutil"
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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/metric"
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"github.com/milvus-io/milvus/pkg/v2/util/paramtable"
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"github.com/milvus-io/milvus/tests/integration"
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)
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type DMLGroup struct {
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insertRowNums []int
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deleteRowNums []int
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}
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type SourceCollectionInfo struct {
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collectionID int64
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partitionID int64
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l0SegmentIDs []int64
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SegmentIDs []int64
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insertedIDs *schemapb.IDs
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storageVersion int
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}
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func (s *BulkInsertSuite) PrepareSourceCollection(dim int, dmlGroup *DMLGroup) *SourceCollectionInfo {
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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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collectionName := "TestBinlogImport_A_" + funcutil.GenRandomStr()
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schema := integration.ConstructSchemaOfVecDataTypeWithStruct(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.MilvusClient.CreateCollection(ctx, &milvuspb.CreateCollectionRequest{
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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(merr.CheckRPCCall(createCollectionStatus, err))
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showCollectionsResp, err := c.MilvusClient.ShowCollections(ctx, &milvuspb.ShowCollectionsRequest{
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CollectionNames: []string{collectionName},
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})
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s.NoError(merr.CheckRPCCall(showCollectionsResp, err))
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log.Info("ShowCollections result", zap.Any("showCollectionsResp", showCollectionsResp))
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showPartitionsResp, err := c.MilvusClient.ShowPartitions(ctx, &milvuspb.ShowPartitionsRequest{
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CollectionName: collectionName,
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})
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s.NoError(merr.CheckRPCCall(showPartitionsResp, err))
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log.Info("ShowPartitions result", zap.Any("showPartitionsResp", showPartitionsResp))
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// create index
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createIndexStatus, err := c.MilvusClient.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, integration.IndexFaissIvfFlat, metric.L2),
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})
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s.NoError(merr.CheckRPCCall(createIndexStatus, err))
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s.WaitForIndexBuilt(ctx, collectionName, integration.FloatVecField)
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name := proxy.ConcatStructFieldName(integration.StructArrayField, integration.StructSubFloatVecField)
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createIndexResult, err := c.MilvusClient.CreateIndex(context.TODO(), &milvuspb.CreateIndexRequest{
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CollectionName: collectionName,
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FieldName: name,
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IndexName: "array_of_vector_index",
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ExtraParams: integration.ConstructIndexParam(dim, integration.IndexHNSW, metric.MaxSim),
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})
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s.NoError(err)
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s.Require().Equal(createIndexResult.GetErrorCode(), commonpb.ErrorCode_Success)
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s.WaitForIndexBuilt(context.TODO(), collectionName, name)
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// load
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loadStatus, err := c.MilvusClient.LoadCollection(ctx, &milvuspb.LoadCollectionRequest{
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CollectionName: collectionName,
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})
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s.NoError(merr.CheckRPCCall(loadStatus, err))
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s.WaitForLoad(ctx, collectionName)
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const delBatch = 2
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var (
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totalInsertRowNum = 0
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totalDeleteRowNum = 0
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totalInsertedIDs = &schemapb.IDs{
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IdField: &schemapb.IDs_IntId{
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IntId: &schemapb.LongArray{
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Data: make([]int64, 0),
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},
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},
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}
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)
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for i := range dmlGroup.insertRowNums {
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insRow := dmlGroup.insertRowNums[i]
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delRow := dmlGroup.deleteRowNums[i]
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totalInsertRowNum += insRow
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totalDeleteRowNum += delRow
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fVecColumn := integration.NewFloatVectorFieldData(integration.FloatVecField, insRow, dim)
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structColumn := integration.NewStructArrayFieldData(schema.StructArrayFields[0], integration.StructArrayField, insRow, dim)
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hashKeys := integration.GenerateHashKeys(insRow)
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insertResult, err := c.MilvusClient.Insert(ctx, &milvuspb.InsertRequest{
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CollectionName: collectionName,
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FieldsData: []*schemapb.FieldData{fVecColumn, structColumn},
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HashKeys: hashKeys,
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NumRows: uint32(insRow),
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})
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s.NoError(merr.CheckRPCCall(insertResult, err))
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insertedIDs := insertResult.GetIDs()
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totalInsertedIDs.IdField.(*schemapb.IDs_IntId).IntId.Data = append(
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totalInsertedIDs.IdField.(*schemapb.IDs_IntId).IntId.Data, insertedIDs.IdField.(*schemapb.IDs_IntId).IntId.Data...)
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// delete
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beginIndex := 0
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for j := 0; j < delBatch; j++ {
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if delRow == 0 {
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continue
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}
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delCnt := delRow / delBatch
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idBegin := insertedIDs.GetIntId().GetData()[beginIndex]
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idEnd := insertedIDs.GetIntId().GetData()[beginIndex+delCnt-1]
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deleteResult, err := c.MilvusClient.Delete(ctx, &milvuspb.DeleteRequest{
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CollectionName: collectionName,
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Expr: fmt.Sprintf("%d <= %s <= %d", idBegin, integration.Int64Field, idEnd),
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})
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s.NoError(merr.CheckRPCCall(deleteResult, err))
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beginIndex += delCnt
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}
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// flush
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flushResp, err := c.MilvusClient.Flush(ctx, &milvuspb.FlushRequest{
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CollectionNames: []string{collectionName},
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})
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s.NoError(merr.CheckRPCCall(flushResp, 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, "", collectionName)
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segments, err := c.ShowSegments(collectionName)
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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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}
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// check segments
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segments, err := c.ShowSegments(collectionName)
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s.NoError(err)
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s.NotEmpty(segments)
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l0Segments := lo.Filter(segments, func(segment *datapb.SegmentInfo, _ int) bool {
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return segment.GetState() == commonpb.SegmentState_Flushed && segment.GetLevel() == datapb.SegmentLevel_L0
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})
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segments = lo.Filter(segments, func(segment *datapb.SegmentInfo, _ int) bool {
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return segment.GetState() == commonpb.SegmentState_Flushed && segment.GetLevel() == datapb.SegmentLevel_L1
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})
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// check l0 segments
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if totalDeleteRowNum > 0 {
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s.True(len(l0Segments) > 0)
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}
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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(integration.IndexFaissIvfFlat, metric.L2)
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searchReq := integration.ConstructSearchRequest("", collectionName, expr,
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integration.FloatVecField, schemapb.DataType_FloatVector, nil, metric.L2, params, nq, dim, topk, roundDecimal)
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searchResult, err := c.MilvusClient.Search(ctx, searchReq)
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err = merr.CheckRPCCall(searchResult, err)
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s.NoError(err)
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expectResult := nq * topk
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if expectResult > totalInsertRowNum-totalDeleteRowNum {
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expectResult = totalInsertRowNum - totalDeleteRowNum
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}
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s.Equal(expectResult, len(searchResult.GetResults().GetScores()))
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// query
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expr = fmt.Sprintf("%s >= 0", integration.Int64Field)
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queryResult, err := c.MilvusClient.Query(ctx, &milvuspb.QueryRequest{
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CollectionName: collectionName,
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Expr: 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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count := int(queryResult.GetFieldsData()[0].GetScalars().GetLongData().GetData()[0])
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s.Equal(totalInsertRowNum-totalDeleteRowNum, count)
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// query 2
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expr = fmt.Sprintf("%s < %d", integration.Int64Field, totalInsertedIDs.GetIntId().GetData()[10])
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queryResult, err = c.MilvusClient.Query(ctx, &milvuspb.QueryRequest{
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CollectionName: collectionName,
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Expr: expr,
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OutputFields: []string{},
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})
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err = merr.CheckRPCCall(queryResult, err)
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s.NoError(err)
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count = len(queryResult.GetFieldsData()[0].GetScalars().GetLongData().GetData())
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expectCount := 10
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if dmlGroup.deleteRowNums[0] >= 10 {
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expectCount = 0
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}
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s.Equal(expectCount, count)
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// get collectionID and partitionID
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collectionID := showCollectionsResp.GetCollectionIds()[0]
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partitionID := showPartitionsResp.GetPartitionIDs()[0]
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storageVersion := 0
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if paramtable.Get().CommonCfg.EnableStorageV2.GetAsBool() {
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storageVersion = 2
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}
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return &SourceCollectionInfo{
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collectionID: collectionID,
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partitionID: partitionID,
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l0SegmentIDs: lo.Map(l0Segments, func(segment *datapb.SegmentInfo, _ int) int64 {
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return segment.GetID()
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}),
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SegmentIDs: lo.Map(segments, func(segment *datapb.SegmentInfo, _ int) int64 {
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return segment.GetID()
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}),
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insertedIDs: totalInsertedIDs,
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storageVersion: storageVersion,
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}
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}
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func (s *BulkInsertSuite) runBinlogTest(dmlGroup *DMLGroup) {
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const dim = 128
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sourceCollectionInfo := s.PrepareSourceCollection(dim, dmlGroup)
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collectionID := sourceCollectionInfo.collectionID
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partitionID := sourceCollectionInfo.partitionID
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l0SegmentIDs := sourceCollectionInfo.l0SegmentIDs
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segmentIDs := sourceCollectionInfo.SegmentIDs
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insertedIDs := sourceCollectionInfo.insertedIDs
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log.Info("prepare source collection done",
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zap.Int64("collectionID", collectionID),
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zap.Int64("partitionID", partitionID),
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zap.Int64s("segments", segmentIDs),
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zap.Int64s("l0 segments", l0SegmentIDs))
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c := s.Cluster
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ctx := c.GetContext()
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totalInsertRowNum := lo.SumBy(dmlGroup.insertRowNums, func(num int) int {
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return num
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})
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totalDeleteRowNum := lo.SumBy(dmlGroup.deleteRowNums, func(num int) int {
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return num
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})
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collectionName := "TestBinlogImport_B_" + funcutil.GenRandomStr()
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schema := integration.ConstructSchema(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.MilvusClient.CreateCollection(ctx, &milvuspb.CreateCollectionRequest{
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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(merr.CheckRPCCall(createCollectionStatus, err))
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describeCollectionResp, err := c.MilvusClient.DescribeCollection(ctx, &milvuspb.DescribeCollectionRequest{
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CollectionName: collectionName,
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})
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s.NoError(merr.CheckRPCCall(describeCollectionResp, err))
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newCollectionID := describeCollectionResp.GetCollectionID()
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// create index
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createIndexStatus, err := c.MilvusClient.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, integration.IndexFaissIvfFlat, metric.L2),
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})
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s.NoError(merr.CheckRPCCall(createIndexStatus, err))
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s.WaitForIndexBuilt(ctx, collectionName, integration.FloatVecField)
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// binlog import
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files := make([]*internalpb.ImportFile, 0)
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for _, segmentID := range segmentIDs {
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files = append(files, &internalpb.ImportFile{Paths: []string{fmt.Sprintf("%s/insert_log/%d/%d/%d",
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s.Cluster.RootPath(), collectionID, partitionID, segmentID)}})
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}
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importResp, err := c.ProxyClient.ImportV2(ctx, &internalpb.ImportRequest{
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CollectionName: collectionName,
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PartitionName: paramtable.Get().CommonCfg.DefaultPartitionName.GetValue(),
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Files: files,
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Options: []*commonpb.KeyValuePair{
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{Key: "backup", Value: "true"},
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{Key: importutilv2.StorageVersion, Value: strconv.Itoa(sourceCollectionInfo.storageVersion)},
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},
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})
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s.NoError(merr.CheckRPCCall(importResp, err))
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log.Info("Import result", zap.Any("importResp", importResp))
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jobID := importResp.GetJobID()
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err = WaitForImportDone(ctx, c, jobID)
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s.NoError(err)
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segments, err := c.ShowSegments(collectionName)
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s.NoError(err)
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s.NotEmpty(segments)
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segments = lo.Filter(segments, func(segment *datapb.SegmentInfo, _ int) bool {
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return segment.GetCollectionID() == newCollectionID
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})
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log.Info("Show segments", zap.Any("segments", segments))
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s.Equal(2, len(segments))
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segment, ok := lo.Find(segments, func(segment *datapb.SegmentInfo) bool {
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return segment.GetState() == commonpb.SegmentState_Flushed
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})
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s.True(ok)
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s.Equal(commonpb.SegmentState_Flushed, segment.GetState())
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s.True(len(segment.GetBinlogs()) > 0)
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s.NoError(CheckLogID(segment.GetBinlogs()))
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s.True(len(segment.GetDeltalogs()) == 0)
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s.NoError(CheckLogID(segment.GetDeltalogs()))
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s.True(len(segment.GetStatslogs()) > 0)
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s.NoError(CheckLogID(segment.GetStatslogs()))
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// l0 import
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if totalDeleteRowNum > 0 {
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files = make([]*internalpb.ImportFile, 0)
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for _, segmentID := range l0SegmentIDs {
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files = append(files, &internalpb.ImportFile{Paths: []string{fmt.Sprintf("%s/delta_log/%d/%d/%d",
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s.Cluster.RootPath(), collectionID, common.AllPartitionsID, segmentID)}})
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}
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importResp, err = c.ProxyClient.ImportV2(ctx, &internalpb.ImportRequest{
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CollectionName: collectionName,
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Files: files,
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Options: []*commonpb.KeyValuePair{
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{Key: "l0_import", Value: "true"},
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{Key: importutilv2.StorageVersion, Value: strconv.Itoa(sourceCollectionInfo.storageVersion)},
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},
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})
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s.NoError(merr.CheckRPCCall(importResp, err))
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log.Info("Import result", zap.Any("importResp", importResp))
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jobID = importResp.GetJobID()
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err = WaitForImportDone(ctx, c, jobID)
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s.NoError(err)
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segments, err = c.ShowSegments(collectionName)
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s.NoError(err)
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s.NotEmpty(segments)
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log.Info("Show segments", zap.Any("segments", segments))
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l0Segments := lo.Filter(segments, func(segment *datapb.SegmentInfo, _ int) bool {
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return segment.GetLevel() == datapb.SegmentLevel_L0
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})
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s.Equal(1, len(l0Segments))
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segment = l0Segments[0]
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s.Equal(commonpb.SegmentState_Flushed, segment.GetState())
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s.Equal(common.AllPartitionsID, segment.GetPartitionID())
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s.True(len(segment.GetBinlogs()) == 0)
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s.True(len(segment.GetDeltalogs()) > 0)
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s.NoError(CheckLogID(segment.GetDeltalogs()))
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s.True(len(segment.GetStatslogs()) == 0)
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}
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// load
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loadStatus, err := c.MilvusClient.LoadCollection(ctx, &milvuspb.LoadCollectionRequest{
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CollectionName: collectionName,
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})
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s.NoError(merr.CheckRPCCall(loadStatus, 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(integration.IndexFaissIvfFlat, metric.L2)
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searchReq := integration.ConstructSearchRequest("", collectionName, expr,
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integration.FloatVecField, schemapb.DataType_FloatVector, nil, metric.L2, params, nq, dim, topk, roundDecimal)
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searchReq.ConsistencyLevel = commonpb.ConsistencyLevel_Eventually
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searchResult, err := c.MilvusClient.Search(ctx, searchReq)
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err = merr.CheckRPCCall(searchResult, err)
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s.NoError(err)
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expectResult := nq * topk
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if expectResult > totalInsertRowNum-totalDeleteRowNum {
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expectResult = totalInsertRowNum - totalDeleteRowNum
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}
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s.Equal(expectResult, len(searchResult.GetResults().GetScores()))
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// check ids from collectionA, because during binlog import, even if the primary key's autoID is set to true,
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// the primary key from the binlog should be used instead of being reassigned.
|
|
insertedIDsMap := lo.SliceToMap(insertedIDs.GetIntId().GetData(), func(id int64) (int64, struct{}) {
|
|
return id, struct{}{}
|
|
})
|
|
for _, id := range searchResult.GetResults().GetIds().GetIntId().GetData() {
|
|
_, ok := insertedIDsMap[id]
|
|
s.True(ok)
|
|
}
|
|
|
|
// query
|
|
expr = fmt.Sprintf("%s >= 0", integration.Int64Field)
|
|
queryResult, err := c.MilvusClient.Query(ctx, &milvuspb.QueryRequest{
|
|
CollectionName: collectionName,
|
|
Expr: expr,
|
|
OutputFields: []string{"count(*)"},
|
|
ConsistencyLevel: commonpb.ConsistencyLevel_Eventually,
|
|
})
|
|
err = merr.CheckRPCCall(queryResult, err)
|
|
s.NoError(err)
|
|
count := int(queryResult.GetFieldsData()[0].GetScalars().GetLongData().GetData()[0])
|
|
s.Equal(totalInsertRowNum-totalDeleteRowNum, count)
|
|
|
|
// query 2
|
|
expr = fmt.Sprintf("%s < %d", integration.Int64Field, insertedIDs.GetIntId().GetData()[10])
|
|
queryResult, err = c.MilvusClient.Query(ctx, &milvuspb.QueryRequest{
|
|
CollectionName: collectionName,
|
|
Expr: expr,
|
|
OutputFields: []string{},
|
|
ConsistencyLevel: commonpb.ConsistencyLevel_Eventually,
|
|
})
|
|
err = merr.CheckRPCCall(queryResult, err)
|
|
s.NoError(err)
|
|
count = len(queryResult.GetFieldsData()[0].GetScalars().GetLongData().GetData())
|
|
expectCount := 10
|
|
if dmlGroup.deleteRowNums[0] >= 10 {
|
|
expectCount = 0
|
|
}
|
|
s.Equal(expectCount, count)
|
|
}
|
|
|
|
func (s *BulkInsertSuite) TestInvalidInput() {
|
|
const dim = 128
|
|
c := s.Cluster
|
|
ctx := c.GetContext()
|
|
|
|
collectionName := "TestBinlogImport_InvalidInput_" + funcutil.GenRandomStr()
|
|
schema := integration.ConstructSchema(collectionName, dim, true)
|
|
marshaledSchema, err := proto.Marshal(schema)
|
|
s.NoError(err)
|
|
|
|
createCollectionStatus, err := c.MilvusClient.CreateCollection(ctx, &milvuspb.CreateCollectionRequest{
|
|
CollectionName: collectionName,
|
|
Schema: marshaledSchema,
|
|
ShardsNum: common.DefaultShardsNum,
|
|
})
|
|
s.NoError(merr.CheckRPCCall(createCollectionStatus, err))
|
|
|
|
describeCollectionResp, err := c.MilvusClient.DescribeCollection(ctx, &milvuspb.DescribeCollectionRequest{
|
|
CollectionName: collectionName,
|
|
})
|
|
s.NoError(merr.CheckRPCCall(describeCollectionResp, err))
|
|
|
|
// binlog import
|
|
files := []*internalpb.ImportFile{
|
|
{
|
|
Paths: []string{"invalid-path", "invalid-path", "invalid-path"},
|
|
},
|
|
}
|
|
importResp, err := c.ProxyClient.ImportV2(ctx, &internalpb.ImportRequest{
|
|
CollectionName: collectionName,
|
|
PartitionName: paramtable.Get().CommonCfg.DefaultPartitionName.GetValue(),
|
|
Files: files,
|
|
Options: []*commonpb.KeyValuePair{
|
|
{Key: "backup", Value: "true"},
|
|
},
|
|
})
|
|
err = merr.CheckRPCCall(importResp, err)
|
|
s.True(strings.Contains(err.Error(), "too many input paths for binlog import"))
|
|
s.Error(err)
|
|
log.Info("Import result", zap.Any("importResp", importResp))
|
|
}
|
|
|
|
func (s *BulkInsertSuite) TestBinlogImport() {
|
|
dmlGroup := &DMLGroup{
|
|
insertRowNums: []int{500, 500, 500},
|
|
deleteRowNums: []int{300, 300, 300},
|
|
}
|
|
s.runBinlogTest(dmlGroup)
|
|
}
|
|
|
|
func (s *BulkInsertSuite) TestBinlogImport_NoDelete() {
|
|
dmlGroup := &DMLGroup{
|
|
insertRowNums: []int{500, 500, 500},
|
|
deleteRowNums: []int{0, 0, 0},
|
|
}
|
|
s.runBinlogTest(dmlGroup)
|
|
}
|
|
|
|
func (s *BulkInsertSuite) TestBinlogImport_Partial_0_Rows_Segment() {
|
|
dmlGroup := &DMLGroup{
|
|
insertRowNums: []int{500, 500, 500},
|
|
deleteRowNums: []int{500, 300, 0},
|
|
}
|
|
s.runBinlogTest(dmlGroup)
|
|
}
|
|
|
|
func (s *BulkInsertSuite) TestBinlogImport_All_0_Rows_Segment() {
|
|
dmlGroup := &DMLGroup{
|
|
insertRowNums: []int{500, 500, 500},
|
|
deleteRowNums: []int{500, 500, 500},
|
|
}
|
|
s.runBinlogTest(dmlGroup)
|
|
}
|