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https://gitee.com/milvus-io/milvus.git
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537 lines
16 KiB
Go
537 lines
16 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 getvector
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import (
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"context"
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"fmt"
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"strconv"
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"testing"
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"github.com/golang/protobuf/proto"
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"github.com/stretchr/testify/suite"
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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/pkg/common"
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"github.com/milvus-io/milvus/pkg/util/funcutil"
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"github.com/milvus-io/milvus/pkg/util/metric"
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"github.com/milvus-io/milvus/pkg/util/typeutil"
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"github.com/milvus-io/milvus/tests/integration"
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)
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type TestGetVectorSuite struct {
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integration.MiniClusterSuite
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dbName string
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// test params
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nq int
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topK int
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indexType string
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metricType string
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pkType schemapb.DataType
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vecType schemapb.DataType
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}
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func (s *TestGetVectorSuite) run() {
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ctx, cancel := context.WithCancel(s.Cluster.GetContext())
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defer cancel()
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collection := fmt.Sprintf("TestGetVector_%d_%d_%s_%s_%s",
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s.nq, s.topK, s.indexType, s.metricType, funcutil.GenRandomStr())
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const (
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NB = 10000
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dim = 128
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)
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if len(s.dbName) > 0 {
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createDataBaseStatus, err := s.Cluster.Proxy.CreateDatabase(ctx, &milvuspb.CreateDatabaseRequest{
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DbName: s.dbName,
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})
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s.Require().NoError(err)
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s.Require().Equal(createDataBaseStatus.GetErrorCode(), commonpb.ErrorCode_Success)
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}
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pkFieldName := "pkField"
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vecFieldName := "vecField"
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pk := &schemapb.FieldSchema{
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FieldID: 100,
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Name: pkFieldName,
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IsPrimaryKey: true,
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Description: "",
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DataType: s.pkType,
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TypeParams: []*commonpb.KeyValuePair{
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{
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Key: common.MaxLengthKey,
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Value: "100",
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},
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},
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IndexParams: nil,
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AutoID: false,
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}
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typeParams := []*commonpb.KeyValuePair{}
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if !typeutil.IsSparseFloatVectorType(s.vecType) {
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typeParams = []*commonpb.KeyValuePair{
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{
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Key: common.DimKey,
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Value: fmt.Sprintf("%d", dim),
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},
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}
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}
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fVec := &schemapb.FieldSchema{
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FieldID: 101,
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Name: vecFieldName,
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IsPrimaryKey: false,
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Description: "",
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DataType: s.vecType,
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TypeParams: typeParams,
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IndexParams: nil,
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}
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schema := integration.ConstructSchema(collection, dim, false, pk, fVec)
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marshaledSchema, err := proto.Marshal(schema)
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s.Require().NoError(err)
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createCollectionStatus, err := s.Cluster.Proxy.CreateCollection(ctx, &milvuspb.CreateCollectionRequest{
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DbName: s.dbName,
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CollectionName: collection,
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Schema: marshaledSchema,
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ShardsNum: 2,
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})
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s.Require().NoError(err)
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s.Require().Equal(createCollectionStatus.GetErrorCode(), commonpb.ErrorCode_Success)
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fieldsData := make([]*schemapb.FieldData, 0)
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if s.pkType == schemapb.DataType_Int64 {
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fieldsData = append(fieldsData, integration.NewInt64FieldData(pkFieldName, NB))
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} else {
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fieldsData = append(fieldsData, integration.NewStringFieldData(pkFieldName, NB))
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}
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var vecFieldData *schemapb.FieldData
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if s.vecType == schemapb.DataType_FloatVector {
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vecFieldData = integration.NewFloatVectorFieldData(vecFieldName, NB, dim)
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} else if s.vecType == schemapb.DataType_Float16Vector {
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vecFieldData = integration.NewFloat16VectorFieldData(vecFieldName, NB, dim)
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} else if s.vecType == schemapb.DataType_BFloat16Vector {
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vecFieldData = integration.NewBFloat16VectorFieldData(vecFieldName, NB, dim)
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} else if typeutil.IsSparseFloatVectorType(s.vecType) {
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vecFieldData = integration.NewSparseFloatVectorFieldData(vecFieldName, NB)
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} else {
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vecFieldData = integration.NewBinaryVectorFieldData(vecFieldName, NB, dim)
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}
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fieldsData = append(fieldsData, vecFieldData)
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hashKeys := integration.GenerateHashKeys(NB)
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_, err = s.Cluster.Proxy.Insert(ctx, &milvuspb.InsertRequest{
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DbName: s.dbName,
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CollectionName: collection,
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FieldsData: fieldsData,
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HashKeys: hashKeys,
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NumRows: uint32(NB),
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})
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s.Require().NoError(err)
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s.Require().Equal(createCollectionStatus.GetErrorCode(), commonpb.ErrorCode_Success)
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// flush
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flushResp, err := s.Cluster.Proxy.Flush(ctx, &milvuspb.FlushRequest{
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DbName: s.dbName,
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CollectionNames: []string{collection},
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})
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s.Require().NoError(err)
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segmentIDs, has := flushResp.GetCollSegIDs()[collection]
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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()[collection]
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s.Require().True(has)
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segments, err := s.Cluster.MetaWatcher.ShowSegments()
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s.Require().NoError(err)
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s.Require().NotEmpty(segments)
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s.WaitForFlush(ctx, ids, flushTs, s.dbName, collection)
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// create index
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_, err = s.Cluster.Proxy.CreateIndex(ctx, &milvuspb.CreateIndexRequest{
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DbName: s.dbName,
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CollectionName: collection,
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FieldName: vecFieldName,
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IndexName: "_default",
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ExtraParams: integration.ConstructIndexParam(dim, s.indexType, s.metricType),
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})
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s.Require().NoError(err)
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s.Require().Equal(createCollectionStatus.GetErrorCode(), commonpb.ErrorCode_Success)
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s.WaitForIndexBuiltWithDB(ctx, s.dbName, collection, vecFieldName)
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// load
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_, err = s.Cluster.Proxy.LoadCollection(ctx, &milvuspb.LoadCollectionRequest{
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DbName: s.dbName,
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CollectionName: collection,
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})
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s.Require().NoError(err)
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s.Require().Equal(createCollectionStatus.GetErrorCode(), commonpb.ErrorCode_Success)
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s.WaitForLoadWithDB(ctx, s.dbName, collection)
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// search
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nq := s.nq
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topk := s.topK
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outputFields := []string{vecFieldName}
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params := integration.GetSearchParams(s.indexType, s.metricType)
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searchReq := integration.ConstructSearchRequest(s.dbName, collection, "",
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vecFieldName, s.vecType, outputFields, s.metricType, params, nq, dim, topk, -1)
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searchResp, err := s.Cluster.Proxy.Search(ctx, searchReq)
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s.Require().NoError(err)
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s.Require().Equal(commonpb.ErrorCode_Success, searchResp.GetStatus().GetErrorCode())
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result := searchResp.GetResults()
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if s.pkType == schemapb.DataType_Int64 {
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s.Require().Len(result.GetIds().GetIntId().GetData(), nq*topk)
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} else {
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s.Require().Len(result.GetIds().GetStrId().GetData(), nq*topk)
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}
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s.Require().Len(result.GetScores(), nq*topk)
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s.Require().GreaterOrEqual(len(result.GetFieldsData()), 1)
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vecFieldIndex := -1
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for i, fieldData := range result.GetFieldsData() {
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if typeutil.IsVectorType(fieldData.GetType()) {
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vecFieldIndex = i
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break
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}
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}
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s.Require().EqualValues(nq, result.GetNumQueries())
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s.Require().EqualValues(topk, result.GetTopK())
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// check output vectors
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if s.vecType == schemapb.DataType_FloatVector {
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s.Require().Len(result.GetFieldsData()[vecFieldIndex].GetVectors().GetFloatVector().GetData(), nq*topk*dim)
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rawData := vecFieldData.GetVectors().GetFloatVector().GetData()
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resData := result.GetFieldsData()[vecFieldIndex].GetVectors().GetFloatVector().GetData()
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if s.pkType == schemapb.DataType_Int64 {
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for i, id := range result.GetIds().GetIntId().GetData() {
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expect := rawData[int(id)*dim : (int(id)+1)*dim]
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actual := resData[i*dim : (i+1)*dim]
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s.Require().ElementsMatch(expect, actual)
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}
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} else {
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for i, idStr := range result.GetIds().GetStrId().GetData() {
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id, err := strconv.Atoi(idStr)
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s.Require().NoError(err)
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expect := rawData[id*dim : (id+1)*dim]
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actual := resData[i*dim : (i+1)*dim]
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s.Require().ElementsMatch(expect, actual)
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}
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}
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} else if s.vecType == schemapb.DataType_Float16Vector {
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s.Require().Len(result.GetFieldsData()[vecFieldIndex].GetVectors().GetFloat16Vector(), nq*topk*dim*2)
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rawData := vecFieldData.GetVectors().GetFloat16Vector()
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resData := result.GetFieldsData()[vecFieldIndex].GetVectors().GetFloat16Vector()
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rowBytes := dim * 2
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if s.pkType == schemapb.DataType_Int64 {
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for i, id := range result.GetIds().GetIntId().GetData() {
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expect := rawData[int(id)*rowBytes : (int(id)+1)*rowBytes]
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actual := resData[i*rowBytes : (i+1)*rowBytes]
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s.Require().ElementsMatch(expect, actual)
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}
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} else {
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for i, idStr := range result.GetIds().GetStrId().GetData() {
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id, err := strconv.Atoi(idStr)
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s.Require().NoError(err)
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expect := rawData[id*rowBytes : (id+1)*rowBytes]
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actual := resData[i*rowBytes : (i+1)*rowBytes]
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s.Require().ElementsMatch(expect, actual)
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}
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}
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} else if s.vecType == schemapb.DataType_BFloat16Vector {
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s.Require().Len(result.GetFieldsData()[vecFieldIndex].GetVectors().GetBfloat16Vector(), nq*topk*dim*2)
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rawData := vecFieldData.GetVectors().GetBfloat16Vector()
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resData := result.GetFieldsData()[vecFieldIndex].GetVectors().GetBfloat16Vector()
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rowBytes := dim * 2
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if s.pkType == schemapb.DataType_Int64 {
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for i, id := range result.GetIds().GetIntId().GetData() {
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expect := rawData[int(id)*rowBytes : (int(id)+1)*rowBytes]
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actual := resData[i*rowBytes : (i+1)*rowBytes]
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s.Require().ElementsMatch(expect, actual)
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}
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} else {
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for i, idStr := range result.GetIds().GetStrId().GetData() {
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id, err := strconv.Atoi(idStr)
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s.Require().NoError(err)
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expect := rawData[id*rowBytes : (id+1)*rowBytes]
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actual := resData[i*rowBytes : (i+1)*rowBytes]
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s.Require().ElementsMatch(expect, actual)
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}
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}
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} else if s.vecType == schemapb.DataType_SparseFloatVector {
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s.Require().Len(result.GetFieldsData()[vecFieldIndex].GetVectors().GetSparseFloatVector().GetContents(), nq*topk)
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rawData := vecFieldData.GetVectors().GetSparseFloatVector().GetContents()
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resData := result.GetFieldsData()[vecFieldIndex].GetVectors().GetSparseFloatVector().GetContents()
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if s.pkType == schemapb.DataType_Int64 {
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for i, id := range result.GetIds().GetIntId().GetData() {
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s.Require().Equal(rawData[id], resData[i])
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}
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} else {
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for i, idStr := range result.GetIds().GetStrId().GetData() {
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id, err := strconv.Atoi(idStr)
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s.Require().NoError(err)
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s.Require().Equal(rawData[id], resData[i])
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}
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}
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} else {
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s.Require().Len(result.GetFieldsData()[vecFieldIndex].GetVectors().GetBinaryVector(), nq*topk*dim/8)
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rawData := vecFieldData.GetVectors().GetBinaryVector()
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resData := result.GetFieldsData()[vecFieldIndex].GetVectors().GetBinaryVector()
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rowBytes := dim / 8
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if s.pkType == schemapb.DataType_Int64 {
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for i, id := range result.GetIds().GetIntId().GetData() {
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for j := 0; j < rowBytes; j++ {
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expect := rawData[int(id)*rowBytes+j]
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actual := resData[i*rowBytes+j]
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s.Require().Equal(expect, actual)
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}
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}
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} else {
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for i, idStr := range result.GetIds().GetStrId().GetData() {
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id, err := strconv.Atoi(idStr)
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s.Require().NoError(err)
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for j := 0; j < rowBytes; j++ {
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expect := rawData[id*rowBytes+j]
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actual := resData[i*rowBytes+j]
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s.Require().Equal(expect, actual)
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}
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}
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}
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}
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status, err := s.Cluster.Proxy.DropCollection(ctx, &milvuspb.DropCollectionRequest{
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DbName: s.dbName,
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CollectionName: collection,
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})
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s.Require().NoError(err)
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s.Require().Equal(status.GetErrorCode(), commonpb.ErrorCode_Success)
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}
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func (s *TestGetVectorSuite) TestGetVector_FLAT() {
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s.nq = 10
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s.topK = 10
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s.indexType = integration.IndexFaissIDMap
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s.metricType = metric.L2
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s.pkType = schemapb.DataType_Int64
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s.vecType = schemapb.DataType_FloatVector
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s.run()
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}
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func (s *TestGetVectorSuite) TestGetVector_IVF_FLAT() {
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s.nq = 10
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s.topK = 10
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s.indexType = integration.IndexFaissIvfFlat
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s.metricType = metric.L2
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s.pkType = schemapb.DataType_Int64
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s.vecType = schemapb.DataType_FloatVector
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s.run()
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}
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func (s *TestGetVectorSuite) TestGetVector_IVF_PQ() {
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s.nq = 10
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s.topK = 10
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s.indexType = integration.IndexFaissIvfPQ
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s.metricType = metric.L2
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s.pkType = schemapb.DataType_Int64
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s.vecType = schemapb.DataType_FloatVector
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s.run()
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}
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func (s *TestGetVectorSuite) TestGetVector_SCANN() {
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s.nq = 10
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s.topK = 10
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s.indexType = integration.IndexScaNN
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s.metricType = metric.L2
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s.pkType = schemapb.DataType_Int64
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s.vecType = schemapb.DataType_FloatVector
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s.run()
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}
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func (s *TestGetVectorSuite) TestGetVector_IVF_SQ8() {
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s.nq = 10
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s.topK = 10
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s.indexType = integration.IndexFaissIvfSQ8
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s.metricType = metric.L2
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s.pkType = schemapb.DataType_Int64
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s.vecType = schemapb.DataType_FloatVector
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s.run()
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}
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func (s *TestGetVectorSuite) TestGetVector_IVF_SQ8_StrPK() {
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s.nq = 10
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s.topK = 10
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s.indexType = integration.IndexFaissIvfSQ8
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s.metricType = metric.L2
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s.pkType = schemapb.DataType_VarChar
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s.vecType = schemapb.DataType_FloatVector
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s.run()
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}
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func (s *TestGetVectorSuite) TestGetVector_HNSW() {
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s.nq = 10
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s.topK = 10
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s.indexType = integration.IndexHNSW
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s.metricType = metric.L2
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s.pkType = schemapb.DataType_Int64
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s.vecType = schemapb.DataType_FloatVector
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s.run()
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}
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func (s *TestGetVectorSuite) TestGetVector_IP() {
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s.nq = 10
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s.topK = 10
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s.indexType = integration.IndexHNSW
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s.metricType = metric.IP
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s.pkType = schemapb.DataType_Int64
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s.vecType = schemapb.DataType_FloatVector
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s.run()
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}
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func (s *TestGetVectorSuite) TestGetVector_StringPK() {
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s.nq = 10
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s.topK = 10
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s.indexType = integration.IndexHNSW
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s.metricType = metric.L2
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s.pkType = schemapb.DataType_VarChar
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s.vecType = schemapb.DataType_FloatVector
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s.run()
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}
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func (s *TestGetVectorSuite) TestGetVector_BinaryVector() {
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s.nq = 10
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s.topK = 10
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s.indexType = integration.IndexFaissBinIvfFlat
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s.metricType = metric.JACCARD
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s.pkType = schemapb.DataType_Int64
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s.vecType = schemapb.DataType_BinaryVector
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s.run()
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}
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func (s *TestGetVectorSuite) TestGetVector_Float16Vector() {
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s.nq = 10
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s.topK = 10
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s.indexType = integration.IndexHNSW
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s.metricType = metric.L2
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s.pkType = schemapb.DataType_Int64
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s.vecType = schemapb.DataType_Float16Vector
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s.run()
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}
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func (s *TestGetVectorSuite) TestGetVector_BFloat16Vector() {
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s.nq = 10
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s.topK = 10
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s.indexType = integration.IndexHNSW
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s.metricType = metric.L2
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s.pkType = schemapb.DataType_Int64
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s.vecType = schemapb.DataType_BFloat16Vector
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s.run()
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}
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func (s *TestGetVectorSuite) TestGetVector_Big_NQ_TOPK() {
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s.T().Skip("skip big NQ Top due to timeout")
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s.nq = 10000
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s.topK = 200
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s.indexType = integration.IndexHNSW
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s.metricType = metric.L2
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s.pkType = schemapb.DataType_Int64
|
|
s.vecType = schemapb.DataType_FloatVector
|
|
s.run()
|
|
}
|
|
|
|
func (s *TestGetVectorSuite) TestGetVector_With_DB_Name() {
|
|
s.dbName = "test_db"
|
|
s.nq = 10
|
|
s.topK = 10
|
|
s.indexType = integration.IndexHNSW
|
|
s.metricType = metric.L2
|
|
s.pkType = schemapb.DataType_Int64
|
|
s.vecType = schemapb.DataType_FloatVector
|
|
s.run()
|
|
}
|
|
|
|
func (s *TestGetVectorSuite) TestGetVector_Sparse_SPARSE_INVERTED_INDEX() {
|
|
s.nq = 10
|
|
s.topK = 10
|
|
s.indexType = integration.IndexSparseInvertedIndex
|
|
s.metricType = metric.IP
|
|
s.pkType = schemapb.DataType_Int64
|
|
s.vecType = schemapb.DataType_SparseFloatVector
|
|
s.run()
|
|
}
|
|
|
|
func (s *TestGetVectorSuite) TestGetVector_Sparse_SPARSE_INVERTED_INDEX_StrPK() {
|
|
s.nq = 10
|
|
s.topK = 10
|
|
s.indexType = integration.IndexSparseInvertedIndex
|
|
s.metricType = metric.IP
|
|
s.pkType = schemapb.DataType_VarChar
|
|
s.vecType = schemapb.DataType_SparseFloatVector
|
|
s.run()
|
|
}
|
|
|
|
func (s *TestGetVectorSuite) TestGetVector_Sparse_SPARSE_WAND() {
|
|
s.nq = 10
|
|
s.topK = 10
|
|
s.indexType = integration.IndexSparseWand
|
|
s.metricType = metric.IP
|
|
s.pkType = schemapb.DataType_Int64
|
|
s.vecType = schemapb.DataType_SparseFloatVector
|
|
s.run()
|
|
}
|
|
|
|
func (s *TestGetVectorSuite) TestGetVector_Sparse_SPARSE_WAND_StrPK() {
|
|
s.nq = 10
|
|
s.topK = 10
|
|
s.indexType = integration.IndexSparseWand
|
|
s.metricType = metric.IP
|
|
s.pkType = schemapb.DataType_VarChar
|
|
s.vecType = schemapb.DataType_SparseFloatVector
|
|
s.run()
|
|
}
|
|
|
|
//func (s *TestGetVectorSuite) TestGetVector_DISKANN_L2() {
|
|
// s.nq = 10
|
|
// s.topK = 10
|
|
// s.indexType = integration.IndexDISKANN
|
|
// s.metricType = metric.L2
|
|
// s.pkType = schemapb.DataType_Int64
|
|
// s.vecType = schemapb.DataType_FloatVector
|
|
// s.run()
|
|
//}
|
|
|
|
//func (s *TestGetVectorSuite) TestGetVector_DISKANN_IP() {
|
|
// s.nq = 10
|
|
// s.topK = 10
|
|
// s.indexType = integration.IndexDISKANN
|
|
// s.metricType = metric.IP
|
|
// s.pkType = schemapb.DataType_Int64
|
|
// s.vecType = schemapb.DataType_FloatVector
|
|
// s.run()
|
|
//}
|
|
|
|
func TestGetVector(t *testing.T) {
|
|
t.Skip("Skip integration test, need to refactor integration test framework")
|
|
suite.Run(t, new(TestGetVectorSuite))
|
|
}
|