// 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 proxy import ( "context" "fmt" "strings" "testing" "time" "github.com/cockroachdb/errors" "github.com/golang/protobuf/proto" "github.com/stretchr/testify/assert" "github.com/stretchr/testify/mock" "github.com/stretchr/testify/require" "go.uber.org/zap" "github.com/milvus-io/milvus-proto/go-api/v2/commonpb" "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/internal/mocks" "github.com/milvus-io/milvus/internal/proto/internalpb" "github.com/milvus-io/milvus/internal/proto/querypb" "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/paramtable" "github.com/milvus-io/milvus/pkg/util/typeutil" ) func TestQueryTask_all(t *testing.T) { var ( err error ctx = context.TODO() rc = NewRootCoordMock() qc = mocks.NewMockQueryCoordClient(t) qn = getQueryNodeClient() shardsNum = common.DefaultShardsNum collectionName = t.Name() + funcutil.GenRandomStr() expr = fmt.Sprintf("%s > 0", testInt64Field) hitNum = 10 ) qn.EXPECT().GetComponentStates(mock.Anything, mock.Anything, mock.Anything).Return(nil, nil).Maybe() successStatus := commonpb.Status{ErrorCode: commonpb.ErrorCode_Success} qc.EXPECT().LoadCollection(mock.Anything, mock.Anything).Return(&successStatus, nil) qc.EXPECT().GetShardLeaders(mock.Anything, mock.Anything).Return(&querypb.GetShardLeadersResponse{ Status: &successStatus, Shards: []*querypb.ShardLeadersList{ { ChannelName: "channel-1", NodeIds: []int64{1, 2, 3}, NodeAddrs: []string{"localhost:9000", "localhost:9001", "localhost:9002"}, }, }, }, nil).Maybe() mgr := NewMockShardClientManager(t) mgr.EXPECT().GetClient(mock.Anything, mock.Anything).Return(qn, nil).Maybe() mgr.EXPECT().UpdateShardLeaders(mock.Anything, mock.Anything).Return(nil).Maybe() lb := NewLBPolicyImpl(mgr) defer rc.Close() err = InitMetaCache(ctx, rc, qc, mgr) assert.NoError(t, err) fieldName2Types := map[string]schemapb.DataType{ testBoolField: schemapb.DataType_Bool, testInt32Field: schemapb.DataType_Int32, testInt64Field: schemapb.DataType_Int64, testFloatField: schemapb.DataType_Float, testDoubleField: schemapb.DataType_Double, testFloatVecField: schemapb.DataType_FloatVector, } if enableMultipleVectorFields { fieldName2Types[testBinaryVecField] = schemapb.DataType_BinaryVector } schema := constructCollectionSchemaByDataType(collectionName, fieldName2Types, testInt64Field, false) marshaledSchema, err := proto.Marshal(schema) assert.NoError(t, err) createColT := &createCollectionTask{ Condition: NewTaskCondition(ctx), CreateCollectionRequest: &milvuspb.CreateCollectionRequest{ CollectionName: collectionName, Schema: marshaledSchema, ShardsNum: shardsNum, }, ctx: ctx, rootCoord: rc, } require.NoError(t, createColT.OnEnqueue()) require.NoError(t, createColT.PreExecute(ctx)) require.NoError(t, createColT.Execute(ctx)) require.NoError(t, createColT.PostExecute(ctx)) collectionID, err := globalMetaCache.GetCollectionID(ctx, GetCurDBNameFromContextOrDefault(ctx), collectionName) assert.NoError(t, err) status, err := qc.LoadCollection(ctx, &querypb.LoadCollectionRequest{ Base: &commonpb.MsgBase{ MsgType: commonpb.MsgType_LoadCollection, SourceID: paramtable.GetNodeID(), }, CollectionID: collectionID, }) require.NoError(t, err) require.Equal(t, commonpb.ErrorCode_Success, status.ErrorCode) // test begins task := &queryTask{ Condition: NewTaskCondition(ctx), RetrieveRequest: &internalpb.RetrieveRequest{ Base: &commonpb.MsgBase{ MsgType: commonpb.MsgType_Retrieve, SourceID: paramtable.GetNodeID(), }, CollectionID: collectionID, OutputFieldsId: make([]int64, len(fieldName2Types)), }, ctx: ctx, result: &milvuspb.QueryResults{ Status: merr.Success(), FieldsData: []*schemapb.FieldData{}, }, request: &milvuspb.QueryRequest{ Base: &commonpb.MsgBase{ MsgType: commonpb.MsgType_Retrieve, SourceID: paramtable.GetNodeID(), }, CollectionName: collectionName, Expr: expr, QueryParams: []*commonpb.KeyValuePair{ { Key: IgnoreGrowingKey, Value: "false", }, }, }, qc: qc, lb: lb, } assert.NoError(t, task.OnEnqueue()) // test query task with timeout ctx1, cancel1 := context.WithTimeout(ctx, 10*time.Second) defer cancel1() // before preExecute assert.Equal(t, typeutil.ZeroTimestamp, task.TimeoutTimestamp) task.ctx = ctx1 assert.NoError(t, task.PreExecute(ctx)) // after preExecute assert.Greater(t, task.TimeoutTimestamp, typeutil.ZeroTimestamp) // check reduce_stop_for_best assert.Equal(t, false, task.RetrieveRequest.GetReduceStopForBest()) task.request.QueryParams = append(task.request.QueryParams, &commonpb.KeyValuePair{ Key: ReduceStopForBestKey, Value: "trxxxx", }) assert.Error(t, task.PreExecute(ctx)) result1 := &internalpb.RetrieveResults{ Base: &commonpb.MsgBase{MsgType: commonpb.MsgType_RetrieveResult}, Status: merr.Success(), Ids: &schemapb.IDs{ IdField: &schemapb.IDs_IntId{ IntId: &schemapb.LongArray{Data: generateInt64Array(hitNum)}, }, }, } outputFieldIDs := make([]UniqueID, 0, len(fieldName2Types)) for i := 0; i < len(fieldName2Types); i++ { outputFieldIDs = append(outputFieldIDs, int64(common.StartOfUserFieldID+i)) } task.RetrieveRequest.OutputFieldsId = outputFieldIDs for fieldName, dataType := range fieldName2Types { result1.FieldsData = append(result1.FieldsData, generateFieldData(dataType, fieldName, hitNum)) } result1.FieldsData = append(result1.FieldsData, generateFieldData(schemapb.DataType_Int64, common.TimeStampFieldName, hitNum)) task.RetrieveRequest.OutputFieldsId = append(task.RetrieveRequest.OutputFieldsId, common.TimeStampField) task.ctx = ctx qn.ExpectedCalls = nil qn.EXPECT().GetComponentStates(mock.Anything, mock.Anything).Return(nil, nil).Maybe() qn.EXPECT().Query(mock.Anything, mock.Anything).Return(nil, errors.New("mock error")) assert.Error(t, task.Execute(ctx)) qn.ExpectedCalls = nil qn.EXPECT().GetComponentStates(mock.Anything, mock.Anything).Return(nil, nil).Maybe() qn.EXPECT().Query(mock.Anything, mock.Anything).Return(&internalpb.RetrieveResults{ Status: &commonpb.Status{ ErrorCode: commonpb.ErrorCode_NotShardLeader, }, }, nil) err = task.Execute(ctx) assert.True(t, strings.Contains(err.Error(), errInvalidShardLeaders.Error())) qn.ExpectedCalls = nil qn.EXPECT().GetComponentStates(mock.Anything, mock.Anything).Return(nil, nil).Maybe() qn.EXPECT().Query(mock.Anything, mock.Anything).Return(&internalpb.RetrieveResults{ Status: &commonpb.Status{ ErrorCode: commonpb.ErrorCode_UnexpectedError, }, }, nil) assert.Error(t, task.Execute(ctx)) qn.ExpectedCalls = nil qn.EXPECT().GetComponentStates(mock.Anything, mock.Anything).Return(nil, nil).Maybe() qn.EXPECT().Query(mock.Anything, mock.Anything).Return(result1, nil) assert.NoError(t, task.Execute(ctx)) task.queryParams = &queryParams{ limit: 100, offset: 100, } assert.NoError(t, task.PostExecute(ctx)) for i := 0; i < len(task.result.FieldsData); i++ { assert.NotEqual(t, task.result.FieldsData[i].FieldId, common.TimeStampField) } } func Test_translateToOutputFieldIDs(t *testing.T) { type testCases struct { name string outputFields []string schema *schemapb.CollectionSchema expectedError bool expectedIDs []int64 } cases := []testCases{ { name: "empty output fields", outputFields: []string{}, schema: &schemapb.CollectionSchema{ Fields: []*schemapb.FieldSchema{ { FieldID: common.RowIDField, Name: common.RowIDFieldName, }, { FieldID: 100, Name: "ID", IsPrimaryKey: true, }, { FieldID: 101, Name: "Vector", }, }, }, expectedError: false, expectedIDs: []int64{100, 101}, }, { name: "nil output fields", outputFields: nil, schema: &schemapb.CollectionSchema{ Fields: []*schemapb.FieldSchema{ { FieldID: common.RowIDField, Name: common.RowIDFieldName, }, { FieldID: 100, Name: "ID", IsPrimaryKey: true, }, { FieldID: 101, Name: "Vector", }, }, }, expectedError: false, expectedIDs: []int64{100, 101}, }, { name: "full list", outputFields: []string{"ID", "Vector"}, schema: &schemapb.CollectionSchema{ Fields: []*schemapb.FieldSchema{ { FieldID: common.RowIDField, Name: common.RowIDFieldName, }, { FieldID: 100, Name: "ID", IsPrimaryKey: true, }, { FieldID: 101, Name: "Vector", }, }, }, expectedError: false, expectedIDs: []int64{100, 101}, }, { name: "vector only", outputFields: []string{"Vector"}, schema: &schemapb.CollectionSchema{ Fields: []*schemapb.FieldSchema{ { FieldID: common.RowIDField, Name: common.RowIDFieldName, }, { FieldID: 100, Name: "ID", IsPrimaryKey: true, }, { FieldID: 101, Name: "Vector", }, }, }, expectedError: false, expectedIDs: []int64{101, 100}, }, { name: "with field not exist", outputFields: []string{"ID", "Vector", "Extra"}, schema: &schemapb.CollectionSchema{ Fields: []*schemapb.FieldSchema{ { FieldID: common.RowIDField, Name: common.RowIDFieldName, }, { FieldID: 100, Name: "ID", IsPrimaryKey: true, }, { FieldID: 101, Name: "Vector", }, }, }, expectedError: true, }, } for _, tc := range cases { t.Run(tc.name, func(t *testing.T) { ids, err := translateToOutputFieldIDs(tc.outputFields, tc.schema) if tc.expectedError { assert.Error(t, err) } else { assert.NoError(t, err) require.Equal(t, len(tc.expectedIDs), len(ids)) for idx, expectedID := range tc.expectedIDs { assert.Equal(t, expectedID, ids[idx]) } } }) } } func TestTaskQuery_functions(t *testing.T) { t.Run("test parseQueryParams", func(t *testing.T) { tests := []struct { description string inKey []string inValue []string expectErr bool outLimit int64 outOffset int64 }{ {"empty input", []string{}, []string{}, false, typeutil.Unlimited, 0}, {"valid limit=1", []string{LimitKey}, []string{"1"}, false, 1, 0}, {"valid limit=1, offset=2", []string{LimitKey, OffsetKey}, []string{"1", "2"}, false, 1, 2}, {"valid no limit, offset=2", []string{OffsetKey}, []string{"2"}, false, typeutil.Unlimited, 0}, {"invalid limit str", []string{LimitKey}, []string{"a"}, true, 0, 0}, {"invalid limit zero", []string{LimitKey}, []string{"0"}, true, 0, 0}, {"invalid limit negative", []string{LimitKey}, []string{"-1"}, true, 0, 0}, {"invalid limit 16385", []string{LimitKey}, []string{"16385"}, true, 0, 0}, {"invalid offset negative", []string{LimitKey, OffsetKey}, []string{"1", "-1"}, true, 0, 0}, {"invalid offset 16385", []string{LimitKey, OffsetKey}, []string{"1", "16385"}, true, 0, 0}, {"invalid limit=16384 offset=16384", []string{LimitKey, OffsetKey}, []string{"16384", "16384"}, true, 0, 0}, } for _, test := range tests { t.Run(test.description, func(t *testing.T) { var inParams []*commonpb.KeyValuePair for i := range test.inKey { inParams = append(inParams, &commonpb.KeyValuePair{ Key: test.inKey[i], Value: test.inValue[i], }) } ret, err := parseQueryParams(inParams) if test.expectErr { assert.Error(t, err) assert.Empty(t, ret) } else { assert.NoError(t, err) assert.Equal(t, test.outLimit, ret.limit) assert.Equal(t, test.outOffset, ret.offset) } }) } }) t.Run("test reduceRetrieveResults", func(t *testing.T) { const ( Dim = 8 Int64FieldName = "Int64Field" FloatVectorFieldName = "FloatVectorField" Int64FieldID = common.StartOfUserFieldID + 1 FloatVectorFieldID = common.StartOfUserFieldID + 2 ) Int64Array := []int64{11, 22} FloatVector := []float32{1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 11.0, 22.0, 33.0, 44.0, 55.0, 66.0, 77.0, 88.0} var fieldDataArray1 []*schemapb.FieldData fieldDataArray1 = append(fieldDataArray1, getFieldData(Int64FieldName, Int64FieldID, schemapb.DataType_Int64, Int64Array[0:2], 1)) fieldDataArray1 = append(fieldDataArray1, getFieldData(FloatVectorFieldName, FloatVectorFieldID, schemapb.DataType_FloatVector, FloatVector[0:16], Dim)) var fieldDataArray2 []*schemapb.FieldData fieldDataArray2 = append(fieldDataArray2, getFieldData(Int64FieldName, Int64FieldID, schemapb.DataType_Int64, Int64Array[0:2], 1)) fieldDataArray2 = append(fieldDataArray2, getFieldData(FloatVectorFieldName, FloatVectorFieldID, schemapb.DataType_FloatVector, FloatVector[0:16], Dim)) t.Run("test skip dupPK 2", func(t *testing.T) { result1 := &internalpb.RetrieveResults{ Ids: &schemapb.IDs{ IdField: &schemapb.IDs_IntId{ IntId: &schemapb.LongArray{ Data: []int64{0, 1}, }, }, }, FieldsData: fieldDataArray1, } result2 := &internalpb.RetrieveResults{ Ids: &schemapb.IDs{ IdField: &schemapb.IDs_IntId{ IntId: &schemapb.LongArray{ Data: []int64{0, 1}, }, }, }, FieldsData: fieldDataArray2, } result, err := reduceRetrieveResults(context.Background(), []*internalpb.RetrieveResults{result1, result2}, nil) assert.NoError(t, err) assert.Equal(t, 2, len(result.GetFieldsData())) assert.Equal(t, Int64Array, result.GetFieldsData()[0].GetScalars().GetLongData().Data) assert.InDeltaSlice(t, FloatVector, result.FieldsData[1].GetVectors().GetFloatVector().Data, 10e-10) }) t.Run("test nil results", func(t *testing.T) { ret, err := reduceRetrieveResults(context.Background(), nil, nil) assert.NoError(t, err) assert.Empty(t, ret.GetFieldsData()) }) t.Run("test merge", func(t *testing.T) { r1 := &internalpb.RetrieveResults{ Ids: &schemapb.IDs{ IdField: &schemapb.IDs_IntId{ IntId: &schemapb.LongArray{ Data: []int64{1, 3}, }, }, }, FieldsData: fieldDataArray1, } r2 := &internalpb.RetrieveResults{ Ids: &schemapb.IDs{ IdField: &schemapb.IDs_IntId{ IntId: &schemapb.LongArray{ Data: []int64{2, 4}, }, }, }, FieldsData: fieldDataArray2, } resultFloat := []float32{ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 11.0, 22.0, 33.0, 44.0, 55.0, 66.0, 77.0, 88.0, 11.0, 22.0, 33.0, 44.0, 55.0, 66.0, 77.0, 88.0, } t.Run("test limited", func(t *testing.T) { tests := []struct { description string limit int64 }{ {"limit 1", 1}, {"limit 2", 2}, {"limit 3", 3}, {"limit 4", 4}, } resultField0 := []int64{11, 11, 22, 22} for _, test := range tests { t.Run(test.description, func(t *testing.T) { result, err := reduceRetrieveResults(context.Background(), []*internalpb.RetrieveResults{r1, r2}, &queryParams{limit: test.limit}) assert.Equal(t, 2, len(result.GetFieldsData())) assert.Equal(t, resultField0[0:test.limit], result.GetFieldsData()[0].GetScalars().GetLongData().Data) assert.InDeltaSlice(t, resultFloat[0:test.limit*Dim], result.FieldsData[1].GetVectors().GetFloatVector().Data, 10e-10) assert.NoError(t, err) }) } }) t.Run("test unLimited and maxOutputSize", func(t *testing.T) { paramtable.Get().Save(paramtable.Get().QuotaConfig.MaxOutputSize.Key, "1") ids := make([]int64, 100) offsets := make([]int64, 100) for i := range ids { ids[i] = int64(i) offsets[i] = int64(i) } fieldData := getFieldData(Int64FieldName, Int64FieldID, schemapb.DataType_Int64, ids, 1) result := &internalpb.RetrieveResults{ Ids: &schemapb.IDs{ IdField: &schemapb.IDs_IntId{ IntId: &schemapb.LongArray{ Data: ids, }, }, }, FieldsData: []*schemapb.FieldData{fieldData}, } _, err := reduceRetrieveResults(context.Background(), []*internalpb.RetrieveResults{result}, &queryParams{limit: typeutil.Unlimited}) assert.Error(t, err) paramtable.Get().Save(paramtable.Get().QuotaConfig.MaxOutputSize.Key, "1104857600") }) t.Run("test offset", func(t *testing.T) { tests := []struct { description string offset int64 }{ {"offset 0", 0}, {"offset 1", 1}, {"offset 2", 2}, {"offset 3", 3}, } resultField0 := []int64{11, 11, 22, 22} for _, test := range tests { t.Run(test.description, func(t *testing.T) { result, err := reduceRetrieveResults(context.Background(), []*internalpb.RetrieveResults{r1, r2}, &queryParams{limit: 1, offset: test.offset}) assert.NoError(t, err) assert.Equal(t, 2, len(result.GetFieldsData())) assert.Equal(t, resultField0[test.offset:test.offset+1], result.GetFieldsData()[0].GetScalars().GetLongData().Data) assert.InDeltaSlice(t, resultFloat[test.offset*Dim:(test.offset+1)*Dim], result.FieldsData[1].GetVectors().GetFloatVector().Data, 10e-10) }) } }) t.Run("test stop reduce for best for limit", func(t *testing.T) { result, err := reduceRetrieveResults(context.Background(), []*internalpb.RetrieveResults{r1, r2}, &queryParams{limit: 2, reduceStopForBest: true}) assert.NoError(t, err) assert.Equal(t, 2, len(result.GetFieldsData())) assert.Equal(t, []int64{11, 11, 22}, result.GetFieldsData()[0].GetScalars().GetLongData().Data) len := len(result.GetFieldsData()[0].GetScalars().GetLongData().Data) assert.InDeltaSlice(t, resultFloat[0:(len)*Dim], result.FieldsData[1].GetVectors().GetFloatVector().Data, 10e-10) }) t.Run("test stop reduce for best for unlimited set", func(t *testing.T) { result, err := reduceRetrieveResults(context.Background(), []*internalpb.RetrieveResults{r1, r2}, &queryParams{limit: typeutil.Unlimited, reduceStopForBest: true}) assert.NoError(t, err) assert.Equal(t, 2, len(result.GetFieldsData())) assert.Equal(t, []int64{11, 11, 22, 22}, result.GetFieldsData()[0].GetScalars().GetLongData().Data) len := len(result.GetFieldsData()[0].GetScalars().GetLongData().Data) assert.InDeltaSlice(t, resultFloat[0:(len)*Dim], result.FieldsData[1].GetVectors().GetFloatVector().Data, 10e-10) }) }) }) } func getFieldData(fieldName string, fieldID int64, fieldType schemapb.DataType, fieldValue interface{}, dim int64) *schemapb.FieldData { var fieldData *schemapb.FieldData switch fieldType { case schemapb.DataType_Bool: fieldData = &schemapb.FieldData{ Type: schemapb.DataType_Bool, FieldName: fieldName, Field: &schemapb.FieldData_Scalars{ Scalars: &schemapb.ScalarField{ Data: &schemapb.ScalarField_BoolData{ BoolData: &schemapb.BoolArray{ Data: fieldValue.([]bool), }, }, }, }, FieldId: fieldID, } case schemapb.DataType_Int32: fieldData = &schemapb.FieldData{ Type: schemapb.DataType_Int32, FieldName: fieldName, Field: &schemapb.FieldData_Scalars{ Scalars: &schemapb.ScalarField{ Data: &schemapb.ScalarField_IntData{ IntData: &schemapb.IntArray{ Data: fieldValue.([]int32), }, }, }, }, FieldId: fieldID, } case schemapb.DataType_Int64: fieldData = &schemapb.FieldData{ Type: schemapb.DataType_Int64, FieldName: fieldName, Field: &schemapb.FieldData_Scalars{ Scalars: &schemapb.ScalarField{ Data: &schemapb.ScalarField_LongData{ LongData: &schemapb.LongArray{ Data: fieldValue.([]int64), }, }, }, }, FieldId: fieldID, } case schemapb.DataType_Float: fieldData = &schemapb.FieldData{ Type: schemapb.DataType_Float, FieldName: fieldName, Field: &schemapb.FieldData_Scalars{ Scalars: &schemapb.ScalarField{ Data: &schemapb.ScalarField_FloatData{ FloatData: &schemapb.FloatArray{ Data: fieldValue.([]float32), }, }, }, }, FieldId: fieldID, } case schemapb.DataType_Double: fieldData = &schemapb.FieldData{ Type: schemapb.DataType_Double, FieldName: fieldName, Field: &schemapb.FieldData_Scalars{ Scalars: &schemapb.ScalarField{ Data: &schemapb.ScalarField_DoubleData{ DoubleData: &schemapb.DoubleArray{ Data: fieldValue.([]float64), }, }, }, }, FieldId: fieldID, } case schemapb.DataType_VarChar: fieldData = &schemapb.FieldData{ Type: schemapb.DataType_VarChar, FieldName: fieldName, Field: &schemapb.FieldData_Scalars{ Scalars: &schemapb.ScalarField{ Data: &schemapb.ScalarField_StringData{ StringData: &schemapb.StringArray{ Data: fieldValue.([]string), }, }, }, }, FieldId: fieldID, } case schemapb.DataType_BinaryVector: fieldData = &schemapb.FieldData{ Type: schemapb.DataType_BinaryVector, FieldName: fieldName, Field: &schemapb.FieldData_Vectors{ Vectors: &schemapb.VectorField{ Dim: dim, Data: &schemapb.VectorField_BinaryVector{ BinaryVector: fieldValue.([]byte), }, }, }, FieldId: fieldID, } case schemapb.DataType_FloatVector: fieldData = &schemapb.FieldData{ Type: schemapb.DataType_FloatVector, FieldName: fieldName, Field: &schemapb.FieldData_Vectors{ Vectors: &schemapb.VectorField{ Dim: dim, Data: &schemapb.VectorField_FloatVector{ FloatVector: &schemapb.FloatArray{ Data: fieldValue.([]float32), }, }, }, }, FieldId: fieldID, } default: log.Warn("not supported field type", zap.String("fieldType", fieldType.String())) } return fieldData } func Test_filterSystemFields(t *testing.T) { outputFieldIDs := []UniqueID{common.RowIDField, common.TimeStampField, common.StartOfUserFieldID} filtered := filterSystemFields(outputFieldIDs) assert.ElementsMatch(t, []UniqueID{common.StartOfUserFieldID}, filtered) } func Test_matchCountRule(t *testing.T) { type args struct { outputs []string } tests := []struct { name string args args want bool }{ { args: args{ outputs: nil, }, want: false, }, { args: args{ outputs: []string{"count(*)", "count(*)"}, }, want: false, }, { args: args{ outputs: []string{"not count(*)"}, }, want: false, }, { args: args{ outputs: []string{"count(*)"}, }, want: true, }, { args: args{ outputs: []string{"COUNT(*)"}, }, want: true, }, { args: args{ outputs: []string{" count(*)"}, }, want: true, }, { args: args{ outputs: []string{" COUNT(*)"}, }, want: true, }, { args: args{ outputs: []string{"count(*) "}, }, want: true, }, { args: args{ outputs: []string{"COUNT(*) "}, }, want: true, }, } for _, tt := range tests { t.Run(tt.name, func(t *testing.T) { assert.Equalf(t, tt.want, matchCountRule(tt.args.outputs), "matchCountRule(%v)", tt.args.outputs) }) } } func Test_createCntPlan(t *testing.T) { t.Run("plan without filter", func(t *testing.T) { plan, err := createCntPlan("", nil) assert.NoError(t, err) assert.True(t, plan.GetQuery().GetIsCount()) assert.Nil(t, plan.GetQuery().GetPredicates()) }) t.Run("invalid schema", func(t *testing.T) { _, err := createCntPlan("a > b", nil) assert.Error(t, err) }) t.Run("invalid schema", func(t *testing.T) { schema := &schemapb.CollectionSchema{ Fields: []*schemapb.FieldSchema{ { FieldID: 100, Name: "a", IsPrimaryKey: true, DataType: schemapb.DataType_Int64, }, }, } plan, err := createCntPlan("a > 4", schema) assert.NoError(t, err) assert.True(t, plan.GetQuery().GetIsCount()) assert.NotNil(t, plan.GetQuery().GetPredicates()) }) } func Test_queryTask_createPlan(t *testing.T) { t.Run("match count rule", func(t *testing.T) { tsk := &queryTask{ request: &milvuspb.QueryRequest{ OutputFields: []string{"count(*)"}, }, } err := tsk.createPlan(context.TODO()) assert.NoError(t, err) plan := tsk.plan assert.True(t, plan.GetQuery().GetIsCount()) assert.Nil(t, plan.GetQuery().GetPredicates()) }) t.Run("query without expression", func(t *testing.T) { tsk := &queryTask{ request: &milvuspb.QueryRequest{ OutputFields: []string{"a"}, }, } err := tsk.createPlan(context.TODO()) assert.Error(t, err) }) t.Run("invalid expression", func(t *testing.T) { schema := &schemapb.CollectionSchema{ Fields: []*schemapb.FieldSchema{ { FieldID: 100, Name: "a", IsPrimaryKey: true, DataType: schemapb.DataType_Int64, }, }, } tsk := &queryTask{ schema: schema, request: &milvuspb.QueryRequest{ OutputFields: []string{"a"}, Expr: "b > 2", }, } err := tsk.createPlan(context.TODO()) assert.Error(t, err) }) t.Run("invalid output fields", func(t *testing.T) { schema := &schemapb.CollectionSchema{ Fields: []*schemapb.FieldSchema{ { FieldID: 100, Name: "a", IsPrimaryKey: true, DataType: schemapb.DataType_Int64, }, }, } tsk := &queryTask{ schema: schema, request: &milvuspb.QueryRequest{ OutputFields: []string{"b"}, Expr: "a > 2", }, } err := tsk.createPlan(context.TODO()) assert.Error(t, err) }) } func TestQueryTask_IDs2Expr(t *testing.T) { fieldName := "pk" intIDs := &schemapb.IDs{ IdField: &schemapb.IDs_IntId{ IntId: &schemapb.LongArray{ Data: []int64{1, 2, 3, 4, 5}, }, }, } stringIDs := &schemapb.IDs{ IdField: &schemapb.IDs_StrId{ StrId: &schemapb.StringArray{ Data: []string{"a", "b", "c"}, }, }, } idExpr := IDs2Expr(fieldName, intIDs) expectIDExpr := "pk in [ 1, 2, 3, 4, 5 ]" assert.Equal(t, expectIDExpr, idExpr) strExpr := IDs2Expr(fieldName, stringIDs) expectStrExpr := "pk in [ \"a\", \"b\", \"c\" ]" assert.Equal(t, expectStrExpr, strExpr) }