123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341 |
- // Licensed to the LF AI & Data foundation under one
- // or more contributor license agreements. See the NOTICE file
- // distributed with this work for additional information
- // regarding copyright ownership. The ASF licenses this file
- // to you under the Apache License, Version 2.0 (the
- // "License"); you may not use this file except in compliance
- // with the License. You may obtain a copy of the License at
- //
- // http://www.apache.org/licenses/LICENSE-2.0
- //
- // Unless required by applicable law or agreed to in writing, software
- // distributed under the License is distributed on an "AS IS" BASIS,
- // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- // See the License for the specific language governing permissions and
- // limitations under the License.
- package rangesearch
- import (
- "context"
- "fmt"
- "testing"
- "github.com/stretchr/testify/suite"
- "go.uber.org/zap"
- "google.golang.org/protobuf/proto"
- "github.com/milvus-io/milvus-proto/go-api/v2/milvuspb"
- "github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
- "github.com/milvus-io/milvus/pkg/common"
- "github.com/milvus-io/milvus/pkg/log"
- "github.com/milvus-io/milvus/pkg/util/funcutil"
- "github.com/milvus-io/milvus/pkg/util/merr"
- "github.com/milvus-io/milvus/pkg/util/metric"
- "github.com/milvus-io/milvus/tests/integration"
- )
- type RangeSearchSuite struct {
- integration.MiniClusterSuite
- }
- func (s *RangeSearchSuite) TestRangeSearchIP() {
- c := s.Cluster
- ctx, cancel := context.WithCancel(c.GetContext())
- defer cancel()
- prefix := "TestRangeSearchIP"
- dbName := ""
- collectionName := prefix + funcutil.GenRandomStr()
- dim := 128
- rowNum := 3000
- schema := integration.ConstructSchema(collectionName, dim, true)
- marshaledSchema, err := proto.Marshal(schema)
- s.NoError(err)
- createCollectionStatus, err := c.Proxy.CreateCollection(ctx, &milvuspb.CreateCollectionRequest{
- DbName: dbName,
- CollectionName: collectionName,
- Schema: marshaledSchema,
- ShardsNum: common.DefaultShardsNum,
- })
- s.NoError(err)
- err = merr.Error(createCollectionStatus)
- if err != nil {
- log.Warn("createCollectionStatus fail reason", zap.Error(err))
- }
- log.Info("CreateCollection result", zap.Any("createCollectionStatus", createCollectionStatus))
- showCollectionsResp, err := c.Proxy.ShowCollections(ctx, &milvuspb.ShowCollectionsRequest{})
- s.NoError(err)
- s.True(merr.Ok(showCollectionsResp.GetStatus()))
- log.Info("ShowCollections result", zap.Any("showCollectionsResp", showCollectionsResp))
- fVecColumn := integration.NewFloatVectorFieldData(integration.FloatVecField, rowNum, dim)
- hashKeys := integration.GenerateHashKeys(rowNum)
- insertResult, err := c.Proxy.Insert(ctx, &milvuspb.InsertRequest{
- DbName: dbName,
- CollectionName: collectionName,
- FieldsData: []*schemapb.FieldData{fVecColumn},
- HashKeys: hashKeys,
- NumRows: uint32(rowNum),
- })
- s.NoError(err)
- s.True(merr.Ok(insertResult.GetStatus()))
- // flush
- flushResp, err := c.Proxy.Flush(ctx, &milvuspb.FlushRequest{
- DbName: dbName,
- CollectionNames: []string{collectionName},
- })
- s.NoError(err)
- segmentIDs, has := flushResp.GetCollSegIDs()[collectionName]
- ids := segmentIDs.GetData()
- s.Require().NotEmpty(segmentIDs)
- s.Require().True(has)
- flushTs, has := flushResp.GetCollFlushTs()[collectionName]
- s.True(has)
- segments, err := c.MetaWatcher.ShowSegments()
- s.NoError(err)
- s.NotEmpty(segments)
- for _, segment := range segments {
- log.Info("ShowSegments result", zap.String("segment", segment.String()))
- }
- s.WaitForFlush(ctx, ids, flushTs, dbName, collectionName)
- // create index
- createIndexStatus, err := c.Proxy.CreateIndex(ctx, &milvuspb.CreateIndexRequest{
- CollectionName: collectionName,
- FieldName: integration.FloatVecField,
- IndexName: "_default",
- ExtraParams: integration.ConstructIndexParam(dim, integration.IndexFaissIvfFlat, metric.IP),
- })
- s.NoError(err)
- err = merr.Error(createIndexStatus)
- if err != nil {
- log.Warn("createIndexStatus fail reason", zap.Error(err))
- }
- s.WaitForIndexBuilt(ctx, collectionName, integration.FloatVecField)
- // load
- loadStatus, err := c.Proxy.LoadCollection(ctx, &milvuspb.LoadCollectionRequest{
- DbName: dbName,
- CollectionName: collectionName,
- })
- s.NoError(err)
- err = merr.Error(loadStatus)
- if err != nil {
- log.Warn("LoadCollection fail reason", zap.Error(err))
- }
- s.WaitForLoad(ctx, collectionName)
- // search
- expr := fmt.Sprintf("%s > 0", integration.Int64Field)
- nq := 10
- topk := 10
- roundDecimal := -1
- radius := 10
- filter := 20
- params := integration.GetSearchParams(integration.IndexFaissIvfFlat, metric.IP)
- // only pass in radius when range search
- params["radius"] = radius
- searchReq := integration.ConstructSearchRequest("", collectionName, expr,
- integration.FloatVecField, schemapb.DataType_FloatVector, nil, metric.IP, params, nq, dim, topk, roundDecimal)
- searchResult, _ := c.Proxy.Search(ctx, searchReq)
- err = merr.Error(searchResult.GetStatus())
- if err != nil {
- log.Warn("searchResult fail reason", zap.Error(err))
- }
- s.NoError(err)
- // pass in radius and range_filter when range search
- params["range_filter"] = filter
- searchReq = integration.ConstructSearchRequest("", collectionName, expr,
- integration.FloatVecField, schemapb.DataType_FloatVector, nil, metric.IP, params, nq, dim, topk, roundDecimal)
- searchResult, _ = c.Proxy.Search(ctx, searchReq)
- err = merr.Error(searchResult.GetStatus())
- if err != nil {
- log.Warn("searchResult fail reason", zap.Error(err))
- }
- s.NoError(err)
- // pass in illegal radius and range_filter when range search
- params["radius"] = filter
- params["range_filter"] = radius
- searchReq = integration.ConstructSearchRequest("", collectionName, expr,
- integration.FloatVecField, schemapb.DataType_FloatVector, nil, metric.IP, params, nq, dim, topk, roundDecimal)
- searchResult, _ = c.Proxy.Search(ctx, searchReq)
- err = merr.Error(searchResult.GetStatus())
- if err != nil {
- log.Warn("searchResult fail reason", zap.Error(err))
- }
- s.Error(err)
- log.Info("=========================")
- log.Info("=========================")
- log.Info("TestRangeSearchIP succeed")
- log.Info("=========================")
- log.Info("=========================")
- }
- func (s *RangeSearchSuite) TestRangeSearchL2() {
- c := s.Cluster
- ctx, cancel := context.WithCancel(c.GetContext())
- defer cancel()
- prefix := "TestRangeSearchL2"
- dbName := ""
- collectionName := prefix + funcutil.GenRandomStr()
- dim := 128
- rowNum := 3000
- schema := integration.ConstructSchema(collectionName, dim, true)
- marshaledSchema, err := proto.Marshal(schema)
- s.NoError(err)
- createCollectionStatus, err := c.Proxy.CreateCollection(ctx, &milvuspb.CreateCollectionRequest{
- DbName: dbName,
- CollectionName: collectionName,
- Schema: marshaledSchema,
- ShardsNum: common.DefaultShardsNum,
- })
- s.NoError(err)
- err = merr.Error(createCollectionStatus)
- if err != nil {
- log.Warn("createCollectionStatus fail reason", zap.Error(err))
- }
- log.Info("CreateCollection result", zap.Any("createCollectionStatus", createCollectionStatus))
- showCollectionsResp, err := c.Proxy.ShowCollections(ctx, &milvuspb.ShowCollectionsRequest{})
- s.NoError(err)
- s.True(merr.Ok(showCollectionsResp.GetStatus()))
- log.Info("ShowCollections result", zap.Any("showCollectionsResp", showCollectionsResp))
- fVecColumn := integration.NewFloatVectorFieldData(integration.FloatVecField, rowNum, dim)
- hashKeys := integration.GenerateHashKeys(rowNum)
- insertResult, err := c.Proxy.Insert(ctx, &milvuspb.InsertRequest{
- DbName: dbName,
- CollectionName: collectionName,
- FieldsData: []*schemapb.FieldData{fVecColumn},
- HashKeys: hashKeys,
- NumRows: uint32(rowNum),
- })
- s.NoError(err)
- s.True(merr.Ok(insertResult.GetStatus()))
- // flush
- flushResp, err := c.Proxy.Flush(ctx, &milvuspb.FlushRequest{
- DbName: dbName,
- CollectionNames: []string{collectionName},
- })
- s.NoError(err)
- segmentIDs, has := flushResp.GetCollSegIDs()[collectionName]
- ids := segmentIDs.GetData()
- s.Require().NotEmpty(segmentIDs)
- s.Require().True(has)
- flushTs, has := flushResp.GetCollFlushTs()[collectionName]
- s.True(has)
- segments, err := c.MetaWatcher.ShowSegments()
- s.NoError(err)
- s.NotEmpty(segments)
- for _, segment := range segments {
- log.Info("ShowSegments result", zap.String("segment", segment.String()))
- }
- s.WaitForFlush(ctx, ids, flushTs, dbName, collectionName)
- // create index
- createIndexStatus, err := c.Proxy.CreateIndex(ctx, &milvuspb.CreateIndexRequest{
- CollectionName: collectionName,
- FieldName: integration.FloatVecField,
- IndexName: "_default",
- ExtraParams: integration.ConstructIndexParam(dim, integration.IndexFaissIvfFlat, metric.L2),
- })
- s.NoError(err)
- err = merr.Error(createIndexStatus)
- if err != nil {
- log.Warn("createIndexStatus fail reason", zap.Error(err))
- }
- s.WaitForIndexBuilt(ctx, collectionName, integration.FloatVecField)
- // load
- loadStatus, err := c.Proxy.LoadCollection(ctx, &milvuspb.LoadCollectionRequest{
- DbName: dbName,
- CollectionName: collectionName,
- })
- s.NoError(err)
- err = merr.Error(loadStatus)
- if err != nil {
- log.Warn("LoadCollection fail reason", zap.Error(err))
- }
- s.WaitForLoad(ctx, collectionName)
- // search
- expr := fmt.Sprintf("%s > 0", integration.Int64Field)
- nq := 10
- topk := 10
- roundDecimal := -1
- radius := 20
- filter := 10
- params := integration.GetSearchParams(integration.IndexFaissIvfFlat, metric.L2)
- // only pass in radius when range search
- params["radius"] = radius
- searchReq := integration.ConstructSearchRequest("", collectionName, expr,
- integration.FloatVecField, schemapb.DataType_FloatVector, nil, metric.L2, params, nq, dim, topk, roundDecimal)
- searchResult, _ := c.Proxy.Search(ctx, searchReq)
- err = merr.Error(searchResult.GetStatus())
- if err != nil {
- log.Warn("searchResult fail reason", zap.Error(err))
- }
- s.NoError(err)
- // pass in radius and range_filter when range search
- params["range_filter"] = filter
- searchReq = integration.ConstructSearchRequest("", collectionName, expr,
- integration.FloatVecField, schemapb.DataType_FloatVector, nil, metric.L2, params, nq, dim, topk, roundDecimal)
- searchResult, _ = c.Proxy.Search(ctx, searchReq)
- err = merr.Error(searchResult.GetStatus())
- if err != nil {
- log.Warn("searchResult fail reason", zap.Error(err))
- }
- s.NoError(err)
- // pass in illegal radius and range_filter when range search
- params["radius"] = filter
- params["range_filter"] = radius
- searchReq = integration.ConstructSearchRequest("", collectionName, expr,
- integration.FloatVecField, schemapb.DataType_FloatVector, nil, metric.L2, params, nq, dim, topk, roundDecimal)
- searchResult, _ = c.Proxy.Search(ctx, searchReq)
- err = merr.Error(searchResult.GetStatus())
- if err != nil {
- log.Warn("searchResult fail reason", zap.Error(err))
- }
- s.Error(err)
- log.Info("=========================")
- log.Info("=========================")
- log.Info("TestRangeSearchL2 succeed")
- log.Info("=========================")
- log.Info("=========================")
- }
- func TestRangeSearch(t *testing.T) {
- suite.Run(t, new(RangeSearchSuite))
- }
|