mirror of
https://gitee.com/milvus-io/milvus.git
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242 lines
7.3 KiB
Go
242 lines
7.3 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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"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/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/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/tests/integration"
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)
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func (s *BulkInsertSuite) testMultipleVectorFields() {
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const (
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rowCount = 100
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dim1 = 64
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dim2 = 32
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)
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c := s.Cluster
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ctx, cancel := context.WithTimeout(c.GetContext(), 600*time.Second)
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defer cancel()
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collectionName := "TestBulkInsert_MultipleVectorFields_" + funcutil.RandomString(8)
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schema := integration.ConstructSchema(collectionName, 0, true, &schemapb.FieldSchema{
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FieldID: 100,
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Name: integration.Int64Field,
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IsPrimaryKey: true,
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DataType: schemapb.DataType_Int64,
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AutoID: true,
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}, &schemapb.FieldSchema{
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FieldID: 101,
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Name: integration.FloatVecField,
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DataType: schemapb.DataType_FloatVector,
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TypeParams: []*commonpb.KeyValuePair{
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{
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Key: common.DimKey,
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Value: fmt.Sprintf("%d", dim1),
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},
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},
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}, &schemapb.FieldSchema{
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FieldID: 102,
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Name: integration.BFloat16VecField,
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DataType: schemapb.DataType_BFloat16Vector,
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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", dim2),
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},
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},
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})
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schema.EnableDynamicField = 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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DbName: "",
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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(err)
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s.Equal(int32(0), createCollectionStatus.GetCode())
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// create index 1
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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_1",
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ExtraParams: integration.ConstructIndexParam(dim1, integration.IndexFaissIvfFlat, metric.L2),
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})
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s.NoError(err)
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s.Equal(int32(0), createIndexStatus.GetCode())
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s.WaitForIndexBuilt(ctx, collectionName, integration.FloatVecField)
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// create index 2
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createIndexStatus, err = c.MilvusClient.CreateIndex(ctx, &milvuspb.CreateIndexRequest{
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CollectionName: collectionName,
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FieldName: integration.BFloat16VecField,
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IndexName: "_default_2",
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ExtraParams: integration.ConstructIndexParam(dim2, integration.IndexFaissIvfFlat, metric.L2),
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})
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s.NoError(err)
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s.Equal(int32(0), createIndexStatus.GetCode())
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s.WaitForIndexBuilt(ctx, collectionName, integration.BFloat16VecField)
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// import
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var files []*internalpb.ImportFile
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options := []*commonpb.KeyValuePair{}
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switch s.fileType {
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case importutilv2.Numpy:
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importFile, err := GenerateNumpyFiles(c, schema, rowCount)
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s.NoError(err)
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importFile.Paths = lo.Filter(importFile.Paths, func(path string, _ int) bool {
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return !strings.Contains(path, "$meta")
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})
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files = []*internalpb.ImportFile{importFile}
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case importutilv2.JSON:
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rowBasedFile := GenerateJSONFile(s.T(), c, schema, rowCount)
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files = []*internalpb.ImportFile{
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{
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Paths: []string{
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rowBasedFile,
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},
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},
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}
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case importutilv2.Parquet:
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filePath, err := GenerateParquetFile(s.Cluster, schema, rowCount)
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s.NoError(err)
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files = []*internalpb.ImportFile{
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{
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Paths: []string{
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filePath,
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},
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},
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}
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case importutilv2.CSV:
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filePath, sep := GenerateCSVFile(s.T(), s.Cluster, schema, rowCount)
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options = []*commonpb.KeyValuePair{{Key: "sep", Value: string(sep)}}
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s.NoError(err)
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files = []*internalpb.ImportFile{
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{
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Paths: []string{
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filePath,
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},
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},
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}
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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: options,
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})
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s.NoError(err)
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s.Equal(int32(0), importResp.GetStatus().GetCode())
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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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// 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(err)
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s.Equal(commonpb.ErrorCode_Success, loadStatus.GetErrorCode())
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s.WaitForLoad(ctx, 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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log.Info("Show segments", zap.Any("segments", segments))
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// load refresh
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loadStatus, err = c.MilvusClient.LoadCollection(ctx, &milvuspb.LoadCollectionRequest{
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CollectionName: collectionName,
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Refresh: true,
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})
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s.NoError(err)
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s.Equal(commonpb.ErrorCode_Success, loadStatus.GetErrorCode())
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s.WaitForLoadRefresh(ctx, "", collectionName)
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// search vec 1
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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, dim1, 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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s.Equal(nq*topk, len(searchResult.GetResults().GetScores()))
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// search vec 2
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searchReq = integration.ConstructSearchRequest("", collectionName, expr,
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integration.BFloat16VecField, schemapb.DataType_BFloat16Vector, nil, metric.L2, params, nq, dim2, 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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// s.Equal(nq*topk, len(searchResult.GetResults().GetScores())) // TODO: fix bf16vector search
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}
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func (s *BulkInsertSuite) TestMultipleVectorFields_JSON() {
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s.fileType = importutilv2.JSON
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s.testMultipleVectorFields()
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}
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func (s *BulkInsertSuite) TestMultipleVectorFields_Parquet() {
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s.fileType = importutilv2.Parquet
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s.testMultipleVectorFields()
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}
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func (s *BulkInsertSuite) TestMultipleVectorFields_CSV() {
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s.fileType = importutilv2.CSV
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s.testMultipleVectorFields()
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}
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