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https://gitee.com/milvus-io/milvus.git
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371 lines
11 KiB
Go
371 lines
11 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/commonpb"
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"github.com/milvus-io/milvus-proto/go-api/milvuspb"
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"github.com/milvus-io/milvus-proto/go-api/schemapb"
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"github.com/milvus-io/milvus/pkg/common"
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"github.com/milvus-io/milvus/pkg/util/distance"
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"github.com/milvus-io/milvus/pkg/util/funcutil"
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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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// 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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// expected
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searchFailed bool
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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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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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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: []*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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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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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 {
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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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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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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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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)
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// create index
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_, err = s.Cluster.Proxy.CreateIndex(ctx, &milvuspb.CreateIndexRequest{
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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.WaitForIndexBuilt(ctx, collection, vecFieldName)
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// load
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_, err = s.Cluster.Proxy.LoadCollection(ctx, &milvuspb.LoadCollectionRequest{
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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.WaitForLoad(ctx, 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("", 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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if s.searchFailed {
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s.Require().NotEqual(searchResp.GetStatus().GetErrorCode(), commonpb.ErrorCode_Success)
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s.T().Logf("reason:%s", searchResp.GetStatus().GetReason())
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return
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}
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s.Require().Equal(searchResp.GetStatus().GetErrorCode(), commonpb.ErrorCode_Success)
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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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var 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 {
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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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if s.pkType == schemapb.DataType_Int64 {
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for i, id := range result.GetIds().GetIntId().GetData() {
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dataBytes := dim / 8
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for j := 0; j < dataBytes; j++ {
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expect := rawData[int(id)*dataBytes+j]
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actual := resData[i*dataBytes+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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dataBytes := dim / 8
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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 < dataBytes; j++ {
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expect := rawData[id*dataBytes+j]
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actual := resData[i*dataBytes+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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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 = distance.L2
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s.pkType = schemapb.DataType_Int64
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s.vecType = schemapb.DataType_FloatVector
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s.searchFailed = false
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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 = distance.L2
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s.pkType = schemapb.DataType_Int64
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s.vecType = schemapb.DataType_FloatVector
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s.searchFailed = false
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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 = distance.L2
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s.pkType = schemapb.DataType_Int64
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s.vecType = schemapb.DataType_FloatVector
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s.searchFailed = true
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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 = distance.L2
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s.pkType = schemapb.DataType_Int64
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s.vecType = schemapb.DataType_FloatVector
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s.searchFailed = true
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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 = distance.L2
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s.pkType = schemapb.DataType_Int64
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s.vecType = schemapb.DataType_FloatVector
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s.searchFailed = false
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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 = distance.IP
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s.pkType = schemapb.DataType_Int64
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s.vecType = schemapb.DataType_FloatVector
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s.searchFailed = false
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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 = distance.L2
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s.pkType = schemapb.DataType_VarChar
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s.vecType = schemapb.DataType_FloatVector
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s.searchFailed = false
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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 = distance.JACCARD
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s.pkType = schemapb.DataType_Int64
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s.vecType = schemapb.DataType_BinaryVector
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s.searchFailed = false
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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 = distance.L2
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s.pkType = schemapb.DataType_Int64
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s.vecType = schemapb.DataType_FloatVector
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s.searchFailed = false
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s.run()
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}
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//func (s *TestGetVectorSuite) TestGetVector_DISKANN() {
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// s.nq = 10
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// s.topK = 10
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// s.indexType = integration.IndexDISKANN
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// s.metricType = distance.L2
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// s.pkType = schemapb.DataType_Int64
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// s.vecType = schemapb.DataType_FloatVector
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// s.searchFailed = false
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// s.run()
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//}
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func TestGetVector(t *testing.T) {
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suite.Run(t, new(TestGetVectorSuite))
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}
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