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466 lines
17 KiB
Go
466 lines
17 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 hellomilvus
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import (
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"context"
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"fmt"
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"google.golang.org/protobuf/proto"
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"github.com/milvus-io/milvus-proto/go-api/v3/milvuspb"
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"github.com/milvus-io/milvus-proto/go-api/v3/schemapb"
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"github.com/milvus-io/milvus/pkg/v3/common"
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"github.com/milvus-io/milvus/pkg/v3/mlog"
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"github.com/milvus-io/milvus/pkg/v3/util/funcutil"
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"github.com/milvus-io/milvus/pkg/v3/util/merr"
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"github.com/milvus-io/milvus/pkg/v3/util/metric"
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"github.com/milvus-io/milvus/pkg/v3/util/typeutil"
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"github.com/milvus-io/milvus/tests/integration"
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)
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func (s *HelloMilvusSuite) TestRangeSearchIP() {
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c := s.Cluster
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ctx, cancel := context.WithCancel(c.GetContext())
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defer cancel()
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prefix := "TestRangeSearchIP"
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dbName := ""
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collectionName := prefix + funcutil.GenRandomStr()
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dim := 128
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rowNum := 3000
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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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DbName: 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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err = merr.Error(createCollectionStatus)
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if err != nil {
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mlog.Warn(context.TODO(), "createCollectionStatus fail reason", mlog.Err(err))
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}
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mlog.Info(context.TODO(), "CreateCollection result", mlog.Any("createCollectionStatus", createCollectionStatus))
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showCollectionsResp, err := c.MilvusClient.ShowCollections(ctx, &milvuspb.ShowCollectionsRequest{})
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s.NoError(err)
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s.True(merr.Ok(showCollectionsResp.GetStatus()))
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mlog.Info(context.TODO(), "ShowCollections result", mlog.Any("showCollectionsResp", showCollectionsResp))
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fVecColumn := integration.NewFloatVectorFieldData(integration.FloatVecField, rowNum, dim)
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hashKeys := integration.GenerateHashKeys(rowNum)
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insertResult, err := c.MilvusClient.Insert(ctx, &milvuspb.InsertRequest{
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DbName: dbName,
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CollectionName: collectionName,
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FieldsData: []*schemapb.FieldData{fVecColumn},
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HashKeys: hashKeys,
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NumRows: uint32(rowNum),
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})
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s.NoError(err)
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s.True(merr.Ok(insertResult.GetStatus()))
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// flush
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flushResp, err := c.MilvusClient.Flush(ctx, &milvuspb.FlushRequest{
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DbName: dbName,
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CollectionNames: []string{collectionName},
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})
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s.NoError(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, dbName, 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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mlog.Info(context.TODO(), "ShowSegments result", mlog.String("segment", segment.String()))
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}
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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.IP),
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})
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s.NoError(err)
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err = merr.Error(createIndexStatus)
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if err != nil {
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mlog.Warn(context.TODO(), "createIndexStatus fail reason", mlog.Err(err))
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}
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s.WaitForIndexBuilt(ctx, collectionName, integration.FloatVecField)
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// load
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loadStatus, err := c.MilvusClient.LoadCollection(ctx, &milvuspb.LoadCollectionRequest{
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DbName: dbName,
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CollectionName: collectionName,
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})
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s.NoError(err)
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err = merr.Error(loadStatus)
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if err != nil {
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mlog.Warn(context.TODO(), "LoadCollection fail reason", mlog.Err(err))
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}
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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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radius := 10
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filter := 20
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params := integration.GetSearchParams(integration.IndexFaissIvfFlat, metric.IP)
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// only pass in radius when range search
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params["radius"] = radius
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searchReq := integration.ConstructSearchRequest("", collectionName, expr,
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integration.FloatVecField, schemapb.DataType_FloatVector, nil, metric.IP, params, nq, dim, topk, roundDecimal)
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searchResult, _ := c.MilvusClient.Search(ctx, searchReq)
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err = merr.Error(searchResult.GetStatus())
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if err != nil {
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mlog.Warn(context.TODO(), "searchResult fail reason", mlog.Err(err))
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}
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s.NoError(err)
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// pass in radius and range_filter when range search
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params["range_filter"] = filter
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searchReq = integration.ConstructSearchRequest("", collectionName, expr,
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integration.FloatVecField, schemapb.DataType_FloatVector, nil, metric.IP, params, nq, dim, topk, roundDecimal)
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searchResult, _ = c.MilvusClient.Search(ctx, searchReq)
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err = merr.Error(searchResult.GetStatus())
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if err != nil {
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mlog.Warn(context.TODO(), "searchResult fail reason", mlog.Err(err))
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}
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s.NoError(err)
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// pass in illegal radius and range_filter when range search
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params["radius"] = filter
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params["range_filter"] = radius
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searchReq = integration.ConstructSearchRequest("", collectionName, expr,
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integration.FloatVecField, schemapb.DataType_FloatVector, nil, metric.IP, params, nq, dim, topk, roundDecimal)
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searchResult, _ = c.MilvusClient.Search(ctx, searchReq)
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err = merr.Error(searchResult.GetStatus())
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if err != nil {
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mlog.Warn(context.TODO(), "searchResult fail reason", mlog.Err(err))
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}
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s.Error(err)
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mlog.Info(context.TODO(), "=========================")
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mlog.Info(context.TODO(), "=========================")
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mlog.Info(context.TODO(), "TestRangeSearchIP succeed")
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mlog.Info(context.TODO(), "=========================")
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mlog.Info(context.TODO(), "=========================")
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}
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func (s *HelloMilvusSuite) TestRangeSearchL2() {
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c := s.Cluster
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ctx, cancel := context.WithCancel(c.GetContext())
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defer cancel()
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prefix := "TestRangeSearchL2"
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dbName := ""
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collectionName := prefix + funcutil.GenRandomStr()
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dim := 128
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rowNum := 3000
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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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DbName: 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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err = merr.Error(createCollectionStatus)
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if err != nil {
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mlog.Warn(context.TODO(), "createCollectionStatus fail reason", mlog.Err(err))
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}
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mlog.Info(context.TODO(), "CreateCollection result", mlog.Any("createCollectionStatus", createCollectionStatus))
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showCollectionsResp, err := c.MilvusClient.ShowCollections(ctx, &milvuspb.ShowCollectionsRequest{})
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s.NoError(err)
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s.True(merr.Ok(showCollectionsResp.GetStatus()))
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mlog.Info(context.TODO(), "ShowCollections result", mlog.Any("showCollectionsResp", showCollectionsResp))
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fVecColumn := integration.NewFloatVectorFieldData(integration.FloatVecField, rowNum, dim)
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hashKeys := integration.GenerateHashKeys(rowNum)
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insertResult, err := c.MilvusClient.Insert(ctx, &milvuspb.InsertRequest{
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DbName: dbName,
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CollectionName: collectionName,
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FieldsData: []*schemapb.FieldData{fVecColumn},
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HashKeys: hashKeys,
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NumRows: uint32(rowNum),
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})
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s.NoError(err)
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s.True(merr.Ok(insertResult.GetStatus()))
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// flush
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flushResp, err := c.MilvusClient.Flush(ctx, &milvuspb.FlushRequest{
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DbName: dbName,
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CollectionNames: []string{collectionName},
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})
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s.NoError(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, dbName, 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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mlog.Info(context.TODO(), "ShowSegments result", mlog.String("segment", segment.String()))
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}
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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(err)
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err = merr.Error(createIndexStatus)
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if err != nil {
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mlog.Warn(context.TODO(), "createIndexStatus fail reason", mlog.Err(err))
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}
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s.WaitForIndexBuilt(ctx, collectionName, integration.FloatVecField)
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// load
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loadStatus, err := c.MilvusClient.LoadCollection(ctx, &milvuspb.LoadCollectionRequest{
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DbName: dbName,
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CollectionName: collectionName,
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})
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s.NoError(err)
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err = merr.Error(loadStatus)
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if err != nil {
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mlog.Warn(context.TODO(), "LoadCollection fail reason", mlog.Err(err))
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}
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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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radius := 20
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filter := 10
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params := integration.GetSearchParams(integration.IndexFaissIvfFlat, metric.L2)
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// only pass in radius when range search
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params["radius"] = radius
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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, _ := c.MilvusClient.Search(ctx, searchReq)
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err = merr.Error(searchResult.GetStatus())
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if err != nil {
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mlog.Warn(context.TODO(), "searchResult fail reason", mlog.Err(err))
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}
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s.NoError(err)
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// pass in radius and range_filter when range search
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params["range_filter"] = filter
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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, _ = c.MilvusClient.Search(ctx, searchReq)
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err = merr.Error(searchResult.GetStatus())
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if err != nil {
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mlog.Warn(context.TODO(), "searchResult fail reason", mlog.Err(err))
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}
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s.NoError(err)
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// pass in illegal radius and range_filter when range search
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params["radius"] = filter
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params["range_filter"] = radius
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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, _ = c.MilvusClient.Search(ctx, searchReq)
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err = merr.Error(searchResult.GetStatus())
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if err != nil {
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mlog.Warn(context.TODO(), "searchResult fail reason", mlog.Err(err))
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}
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s.Error(err)
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mlog.Info(context.TODO(), "=========================")
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mlog.Info(context.TODO(), "=========================")
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mlog.Info(context.TODO(), "TestRangeSearchL2 succeed")
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mlog.Info(context.TODO(), "=========================")
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mlog.Info(context.TODO(), "=========================")
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}
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// TestRangeSearchElementLevelL2 runs range search on a VECTOR_ARRAY sub-field
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// in element-level mode: HNSW + L2 index on the sub-field, single-vector
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// placeholder with element_level=true, radius/range_filter per L2 semantics.
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func (s *HelloMilvusSuite) TestRangeSearchElementLevelL2() {
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c := s.Cluster
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ctx, cancel := context.WithCancel(c.GetContext())
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defer cancel()
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prefix := "TestRangeSearchElementLevelL2"
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dbName := ""
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collectionName := prefix + funcutil.GenRandomStr()
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dim := 32
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rowNum := 1000
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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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DbName: 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.NoError(merr.Error(createCollectionStatus))
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fVecColumn := integration.NewFloatVectorFieldData(integration.FloatVecField, rowNum, dim)
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structColumn := integration.NewStructArrayFieldData(schema.StructArrayFields[0], integration.StructArrayField, rowNum, dim)
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hashKeys := integration.GenerateHashKeys(rowNum)
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insertResult, err := c.MilvusClient.Insert(ctx, &milvuspb.InsertRequest{
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DbName: dbName,
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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(rowNum),
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})
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s.NoError(err)
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s.True(merr.Ok(insertResult.GetStatus()))
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flushResp, err := c.MilvusClient.Flush(ctx, &milvuspb.FlushRequest{
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DbName: dbName,
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CollectionNames: []string{collectionName},
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})
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s.NoError(err)
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segmentIDs, has := flushResp.GetCollSegIDs()[collectionName]
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s.Require().True(has)
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s.Require().NotEmpty(segmentIDs)
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flushTs, has := flushResp.GetCollFlushTs()[collectionName]
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s.Require().True(has)
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s.WaitForFlush(ctx, segmentIDs.GetData(), flushTs, dbName, collectionName)
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// regular float vector index, required for loading
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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(err)
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s.NoError(merr.Error(createIndexStatus))
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s.WaitForIndexBuilt(ctx, collectionName, integration.FloatVecField)
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// non-EmbList metric on ArrayOfVector → each element vector is indexed
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// independently (proxy task_index.go:658).
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subFieldName := typeutil.ConcatStructFieldName(integration.StructArrayField, integration.StructSubFloatVecField)
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createIndexStatus, err = c.MilvusClient.CreateIndex(ctx, &milvuspb.CreateIndexRequest{
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CollectionName: collectionName,
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FieldName: subFieldName,
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IndexName: "struct_vec_element_index",
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ExtraParams: integration.ConstructIndexParam(dim, integration.IndexHNSW, metric.L2),
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})
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s.NoError(err)
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s.NoError(merr.Error(createIndexStatus))
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s.WaitForIndexBuilt(ctx, collectionName, subFieldName)
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loadStatus, err := c.MilvusClient.LoadCollection(ctx, &milvuspb.LoadCollectionRequest{
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DbName: dbName,
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CollectionName: collectionName,
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})
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s.NoError(err)
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s.NoError(merr.Error(loadStatus))
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s.WaitForLoad(ctx, collectionName)
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// L2 semantics: radius is upper bound, range_filter is lower bound.
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expr := fmt.Sprintf("%s > 0", integration.Int64Field)
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nq := 2
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topk := 10
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roundDecimal := -1
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radius := 20
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filter := 10
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params := integration.GetSearchParams(integration.IndexHNSW, metric.L2)
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// only radius
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params["radius"] = radius
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searchReq := integration.ConstructElementLevelSearchRequest("", collectionName, expr,
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subFieldName, schemapb.DataType_FloatVector, []string{integration.StructArrayField},
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metric.L2, params, nq, dim, topk, roundDecimal)
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searchResult, err := c.MilvusClient.Search(ctx, searchReq)
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s.NoError(err)
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if err := merr.Error(searchResult.GetStatus()); err != nil {
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mlog.Warn(context.TODO(), "element-level range search with radius only failed", mlog.Err(err))
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}
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s.NoError(merr.Error(searchResult.GetStatus()))
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// radius + range_filter
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params["range_filter"] = filter
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searchReq = integration.ConstructElementLevelSearchRequest("", collectionName, expr,
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subFieldName, schemapb.DataType_FloatVector, []string{integration.StructArrayField},
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metric.L2, params, nq, dim, topk, roundDecimal)
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searchResult, err = c.MilvusClient.Search(ctx, searchReq)
|
|
s.NoError(err)
|
|
if err := merr.Error(searchResult.GetStatus()); err != nil {
|
|
mlog.Warn(context.TODO(), "element-level range search with radius+range_filter failed", mlog.Err(err))
|
|
}
|
|
s.NoError(merr.Error(searchResult.GetStatus()))
|
|
|
|
// illegal: for L2, radius must be > range_filter
|
|
params["radius"] = filter
|
|
params["range_filter"] = radius
|
|
searchReq = integration.ConstructElementLevelSearchRequest("", collectionName, expr,
|
|
subFieldName, schemapb.DataType_FloatVector, []string{integration.StructArrayField},
|
|
metric.L2, params, nq, dim, topk, roundDecimal)
|
|
searchResult, _ = c.MilvusClient.Search(ctx, searchReq)
|
|
s.Error(merr.Error(searchResult.GetStatus()))
|
|
|
|
mlog.Info(context.TODO(), "=========================")
|
|
mlog.Info(context.TODO(), "=========================")
|
|
mlog.Info(context.TODO(), "TestRangeSearchElementLevelL2 succeed")
|
|
mlog.Info(context.TODO(), "=========================")
|
|
mlog.Info(context.TODO(), "=========================")
|
|
}
|