mirror of https://github.com/milvus-io/milvus.git
enhance: pre-allocate result FieldData space to reduce copy & growslice (#29726)
See also: #29113 Add a new utitliy function in `pkg/util/typetuil` to pre-allocate field data slice capacity acoording to search limit. This shall avoid copying the data during `AppendFieldData` when previous slice is out of space. And shall also save CPU time during high paylog. --------- Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>pull/29801/head
parent
f030f31d92
commit
8a6e1a4b27
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@ -850,7 +850,7 @@ func reduceSearchResultData(ctx context.Context, subSearchResultData []*schemapb
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Results: &schemapb.SearchResultData{
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NumQueries: nq,
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TopK: topk,
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FieldsData: make([]*schemapb.FieldData, len(subSearchResultData[0].FieldsData)),
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FieldsData: typeutil.PrepareResultFieldData(subSearchResultData[0].GetFieldsData(), limit),
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Scores: []float32{},
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Ids: &schemapb.IDs{},
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Topks: []int64{},
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@ -861,13 +861,13 @@ func reduceSearchResultData(ctx context.Context, subSearchResultData []*schemapb
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case schemapb.DataType_Int64:
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ret.GetResults().Ids.IdField = &schemapb.IDs_IntId{
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IntId: &schemapb.LongArray{
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Data: make([]int64, 0),
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Data: make([]int64, 0, limit),
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},
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}
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case schemapb.DataType_VarChar:
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ret.GetResults().Ids.IdField = &schemapb.IDs_StrId{
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StrId: &schemapb.StringArray{
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Data: make([]string, 0),
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Data: make([]string, 0, limit),
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},
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}
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default:
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@ -383,6 +383,106 @@ func IsVariableDataType(dataType schemapb.DataType) bool {
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return IsStringType(dataType) || IsArrayType(dataType) || IsJSONType(dataType)
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}
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// PrepareResultFieldData construct this slice fo FieldData for final result reduce
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// this shall preallocate the space for field data internal slice prevent slice growing cost.
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func PrepareResultFieldData(sample []*schemapb.FieldData, topK int64) []*schemapb.FieldData {
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result := make([]*schemapb.FieldData, 0, len(sample))
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for _, fieldData := range sample {
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fd := &schemapb.FieldData{
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Type: fieldData.Type,
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FieldName: fieldData.FieldName,
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FieldId: fieldData.FieldId,
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IsDynamic: fieldData.IsDynamic,
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}
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switch fieldType := fieldData.Field.(type) {
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case *schemapb.FieldData_Scalars:
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scalarField := fieldData.GetScalars()
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scalar := &schemapb.FieldData_Scalars{
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Scalars: &schemapb.ScalarField{},
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}
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switch fieldType.Scalars.Data.(type) {
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case *schemapb.ScalarField_BoolData:
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scalar.Scalars.Data = &schemapb.ScalarField_BoolData{
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BoolData: &schemapb.BoolArray{
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Data: make([]bool, 0, topK),
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},
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}
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case *schemapb.ScalarField_IntData:
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scalar.Scalars.Data = &schemapb.ScalarField_IntData{
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IntData: &schemapb.IntArray{
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Data: make([]int32, 0, topK),
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},
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}
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case *schemapb.ScalarField_LongData:
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scalar.Scalars.Data = &schemapb.ScalarField_LongData{
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LongData: &schemapb.LongArray{
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Data: make([]int64, 0, topK),
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},
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}
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case *schemapb.ScalarField_FloatData:
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scalar.Scalars.Data = &schemapb.ScalarField_FloatData{
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FloatData: &schemapb.FloatArray{
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Data: make([]float32, 0, topK),
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},
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}
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case *schemapb.ScalarField_DoubleData:
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scalar.Scalars.Data = &schemapb.ScalarField_DoubleData{
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DoubleData: &schemapb.DoubleArray{
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Data: make([]float64, 0, topK),
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},
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}
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case *schemapb.ScalarField_StringData:
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scalar.Scalars.Data = &schemapb.ScalarField_StringData{
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StringData: &schemapb.StringArray{
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Data: make([]string, 0, topK),
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},
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}
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case *schemapb.ScalarField_JsonData:
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scalar.Scalars.Data = &schemapb.ScalarField_JsonData{
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JsonData: &schemapb.JSONArray{
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Data: make([][]byte, 0, topK),
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},
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}
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case *schemapb.ScalarField_ArrayData:
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scalar.Scalars.Data = &schemapb.ScalarField_ArrayData{
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ArrayData: &schemapb.ArrayArray{
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Data: make([]*schemapb.ScalarField, 0, topK),
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ElementType: scalarField.GetArrayData().GetElementType(),
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},
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}
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}
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fd.Field = scalar
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case *schemapb.FieldData_Vectors:
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vectorField := fieldData.GetVectors()
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dim := vectorField.GetDim()
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vectors := &schemapb.FieldData_Vectors{
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Vectors: &schemapb.VectorField{
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Dim: dim,
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},
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}
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switch fieldType.Vectors.Data.(type) {
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case *schemapb.VectorField_FloatVector:
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vectors.Vectors.Data = &schemapb.VectorField_FloatVector{
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FloatVector: &schemapb.FloatArray{
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Data: make([]float32, 0, dim*topK),
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},
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}
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case *schemapb.VectorField_Float16Vector:
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vectors.Vectors.Data = &schemapb.VectorField_Float16Vector{
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Float16Vector: make([]byte, 0, topK*dim*2),
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}
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case *schemapb.VectorField_BinaryVector:
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vectors.Vectors.Data = &schemapb.VectorField_BinaryVector{
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BinaryVector: make([]byte, 0, topK*dim/8),
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}
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}
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fd.Field = vectors
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}
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result = append(result, fd)
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}
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return result
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}
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// AppendFieldData appends fields data of specified index from src to dst
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func AppendFieldData(dst []*schemapb.FieldData, src []*schemapb.FieldData, idx int64) (appendSize int64) {
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for i, fieldData := range src {
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@ -23,6 +23,7 @@ import (
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"github.com/stretchr/testify/assert"
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"github.com/stretchr/testify/require"
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"github.com/stretchr/testify/suite"
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"go.uber.org/zap"
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"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
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@ -1323,3 +1324,305 @@ func TestMergeFieldData(t *testing.T) {
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assert.Error(t, err)
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})
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}
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type FieldDataSuite struct {
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suite.Suite
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}
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func (s *FieldDataSuite) TestPrepareFieldData() {
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fieldID := int64(100)
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fieldName := "testField"
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topK := int64(100)
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s.Run("bool", func() {
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samples := []*schemapb.FieldData{
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{
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FieldId: fieldID,
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FieldName: fieldName,
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Type: schemapb.DataType_Bool,
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Field: &schemapb.FieldData_Scalars{
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Scalars: &schemapb.ScalarField{
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Data: &schemapb.ScalarField_BoolData{},
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},
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},
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},
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}
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fields := PrepareResultFieldData(samples, topK)
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s.Require().Len(fields, 1)
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field := fields[0]
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s.Equal(fieldID, field.GetFieldId())
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s.Equal(fieldName, field.GetFieldName())
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s.Equal(schemapb.DataType_Bool, field.GetType())
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s.EqualValues(topK, cap(field.GetScalars().GetBoolData().GetData()))
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})
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s.Run("int", func() {
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dataTypes := []schemapb.DataType{
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schemapb.DataType_Int32,
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schemapb.DataType_Int16,
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schemapb.DataType_Int8,
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}
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for _, dataType := range dataTypes {
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samples := []*schemapb.FieldData{
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{
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FieldId: fieldID,
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FieldName: fieldName,
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Type: dataType,
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Field: &schemapb.FieldData_Scalars{
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Scalars: &schemapb.ScalarField{
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Data: &schemapb.ScalarField_IntData{},
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},
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},
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},
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}
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fields := PrepareResultFieldData(samples, topK)
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s.Require().Len(fields, 1)
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field := fields[0]
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s.Equal(fieldID, field.GetFieldId())
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s.Equal(fieldName, field.GetFieldName())
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s.Equal(dataType, field.GetType())
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s.EqualValues(topK, cap(field.GetScalars().GetIntData().GetData()))
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}
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})
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s.Run("long", func() {
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samples := []*schemapb.FieldData{
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{
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FieldId: fieldID,
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FieldName: fieldName,
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Type: schemapb.DataType_Int64,
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Field: &schemapb.FieldData_Scalars{
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Scalars: &schemapb.ScalarField{
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Data: &schemapb.ScalarField_LongData{},
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},
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},
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},
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}
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fields := PrepareResultFieldData(samples, topK)
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s.Require().Len(fields, 1)
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field := fields[0]
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s.Equal(fieldID, field.GetFieldId())
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s.Equal(fieldName, field.GetFieldName())
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s.Equal(schemapb.DataType_Int64, field.GetType())
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s.EqualValues(topK, cap(field.GetScalars().GetLongData().GetData()))
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})
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s.Run("float", func() {
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samples := []*schemapb.FieldData{
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{
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FieldId: fieldID,
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FieldName: fieldName,
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Type: schemapb.DataType_Float,
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Field: &schemapb.FieldData_Scalars{
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Scalars: &schemapb.ScalarField{
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Data: &schemapb.ScalarField_FloatData{},
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},
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},
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},
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}
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fields := PrepareResultFieldData(samples, topK)
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s.Require().Len(fields, 1)
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field := fields[0]
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s.Equal(fieldID, field.GetFieldId())
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s.Equal(fieldName, field.GetFieldName())
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s.Equal(schemapb.DataType_Float, field.GetType())
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s.EqualValues(topK, cap(field.GetScalars().GetFloatData().GetData()))
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})
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s.Run("double", func() {
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samples := []*schemapb.FieldData{
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{
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FieldId: fieldID,
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FieldName: fieldName,
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Type: schemapb.DataType_Double,
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Field: &schemapb.FieldData_Scalars{
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Scalars: &schemapb.ScalarField{
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Data: &schemapb.ScalarField_DoubleData{},
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},
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},
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},
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}
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fields := PrepareResultFieldData(samples, topK)
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s.Require().Len(fields, 1)
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field := fields[0]
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s.Equal(fieldID, field.GetFieldId())
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s.Equal(fieldName, field.GetFieldName())
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s.Equal(schemapb.DataType_Double, field.GetType())
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s.EqualValues(topK, cap(field.GetScalars().GetDoubleData().GetData()))
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})
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s.Run("string", func() {
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dataTypes := []schemapb.DataType{
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schemapb.DataType_VarChar,
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schemapb.DataType_String,
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}
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for _, dataType := range dataTypes {
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samples := []*schemapb.FieldData{
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{
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FieldId: fieldID,
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FieldName: fieldName,
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Type: dataType,
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Field: &schemapb.FieldData_Scalars{
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Scalars: &schemapb.ScalarField{
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Data: &schemapb.ScalarField_StringData{},
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},
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},
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},
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}
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fields := PrepareResultFieldData(samples, topK)
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s.Require().Len(fields, 1)
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field := fields[0]
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s.Equal(fieldID, field.GetFieldId())
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s.Equal(fieldName, field.GetFieldName())
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s.Equal(dataType, field.GetType())
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s.EqualValues(topK, cap(field.GetScalars().GetStringData().GetData()))
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}
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})
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s.Run("json", func() {
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samples := []*schemapb.FieldData{
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{
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FieldId: fieldID,
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FieldName: fieldName,
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Type: schemapb.DataType_JSON,
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Field: &schemapb.FieldData_Scalars{
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Scalars: &schemapb.ScalarField{
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Data: &schemapb.ScalarField_JsonData{},
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},
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},
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},
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}
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fields := PrepareResultFieldData(samples, topK)
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s.Require().Len(fields, 1)
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field := fields[0]
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s.Equal(fieldID, field.GetFieldId())
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s.Equal(fieldName, field.GetFieldName())
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s.Equal(schemapb.DataType_JSON, field.GetType())
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s.EqualValues(topK, cap(field.GetScalars().GetJsonData().GetData()))
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})
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s.Run("array", func() {
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samples := []*schemapb.FieldData{
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{
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FieldId: fieldID,
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FieldName: fieldName,
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Type: schemapb.DataType_Array,
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Field: &schemapb.FieldData_Scalars{
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Scalars: &schemapb.ScalarField{
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Data: &schemapb.ScalarField_ArrayData{
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ArrayData: &schemapb.ArrayArray{
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ElementType: schemapb.DataType_Bool,
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},
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},
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},
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},
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},
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}
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fields := PrepareResultFieldData(samples, topK)
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s.Require().Len(fields, 1)
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field := fields[0]
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s.Equal(fieldID, field.GetFieldId())
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s.Equal(fieldName, field.GetFieldName())
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s.Equal(schemapb.DataType_Array, field.GetType())
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s.EqualValues(topK, cap(field.GetScalars().GetArrayData().GetData()))
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s.Equal(schemapb.DataType_Bool, field.GetScalars().GetArrayData().GetElementType())
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})
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s.Run("float_vector", func() {
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samples := []*schemapb.FieldData{
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{
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FieldId: fieldID,
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FieldName: fieldName,
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Type: schemapb.DataType_FloatVector,
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Field: &schemapb.FieldData_Vectors{
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Vectors: &schemapb.VectorField{
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Dim: 128,
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Data: &schemapb.VectorField_FloatVector{},
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},
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},
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},
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}
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fields := PrepareResultFieldData(samples, topK)
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s.Require().Len(fields, 1)
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field := fields[0]
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s.Equal(fieldID, field.GetFieldId())
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s.Equal(fieldName, field.GetFieldName())
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s.Equal(schemapb.DataType_FloatVector, field.GetType())
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s.EqualValues(128, field.GetVectors().GetDim())
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s.EqualValues(topK*128, cap(field.GetVectors().GetFloatVector().GetData()))
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})
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s.Run("float16_vector", func() {
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samples := []*schemapb.FieldData{
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{
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FieldId: fieldID,
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FieldName: fieldName,
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Type: schemapb.DataType_Float16Vector,
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Field: &schemapb.FieldData_Vectors{
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Vectors: &schemapb.VectorField{
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Dim: 128,
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Data: &schemapb.VectorField_Float16Vector{},
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},
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},
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},
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}
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fields := PrepareResultFieldData(samples, topK)
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s.Require().Len(fields, 1)
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field := fields[0]
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s.Equal(fieldID, field.GetFieldId())
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s.Equal(fieldName, field.GetFieldName())
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s.Equal(schemapb.DataType_Float16Vector, field.GetType())
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s.EqualValues(128, field.GetVectors().GetDim())
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s.EqualValues(topK*128*2, cap(field.GetVectors().GetFloat16Vector()))
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})
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s.Run("binary_vector", func() {
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samples := []*schemapb.FieldData{
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{
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FieldId: fieldID,
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FieldName: fieldName,
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Type: schemapb.DataType_BinaryVector,
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Field: &schemapb.FieldData_Vectors{
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Vectors: &schemapb.VectorField{
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Dim: 128,
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Data: &schemapb.VectorField_BinaryVector{},
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},
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},
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},
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}
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fields := PrepareResultFieldData(samples, topK)
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s.Require().Len(fields, 1)
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field := fields[0]
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s.Equal(fieldID, field.GetFieldId())
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s.Equal(fieldName, field.GetFieldName())
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s.Equal(schemapb.DataType_BinaryVector, field.GetType())
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s.EqualValues(128, field.GetVectors().GetDim())
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s.EqualValues(topK*128/8, cap(field.GetVectors().GetBinaryVector()))
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})
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}
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func TestFieldData(t *testing.T) {
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suite.Run(t, new(FieldDataSuite))
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}
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@ -206,8 +206,8 @@ func (s *JSONExprSuite) TestJSON_InsertWithoutDynamicData() {
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// search
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expr = `$meta["A"] > 90`
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checkFunc := func(result *milvuspb.SearchResults) {
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for _, f := range result.Results.GetFieldsData() {
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s.Nil(f)
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for _, topk := range result.GetResults().GetTopks() {
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s.Zero(topk)
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}
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}
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s.doSearch(collectionName, []string{common.MetaFieldName}, expr, dim, checkFunc)
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@ -564,8 +564,8 @@ func (s *JSONExprSuite) checkSearch(collectionName, fieldName string, dim int) {
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expr = `exists AAA`
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||||
checkFunc = func(result *milvuspb.SearchResults) {
|
||||
for _, f := range result.Results.GetFieldsData() {
|
||||
s.Nil(f)
|
||||
for _, topk := range result.GetResults().GetTopks() {
|
||||
s.Zero(topk)
|
||||
}
|
||||
}
|
||||
s.doSearch(collectionName, []string{fieldName}, expr, dim, checkFunc)
|
||||
|
@ -613,8 +613,8 @@ func (s *JSONExprSuite) checkSearch(collectionName, fieldName string, dim int) {
|
|||
|
||||
expr = `A like "10"`
|
||||
checkFunc = func(result *milvuspb.SearchResults) {
|
||||
for _, f := range result.Results.GetFieldsData() {
|
||||
s.Nil(f)
|
||||
for _, topk := range result.GetResults().GetTopks() {
|
||||
s.Zero(topk)
|
||||
}
|
||||
}
|
||||
s.doSearch(collectionName, []string{fieldName}, expr, dim, checkFunc)
|
||||
|
@ -632,8 +632,8 @@ func (s *JSONExprSuite) checkSearch(collectionName, fieldName string, dim int) {
|
|||
|
||||
expr = `str1 like 'abc"def-%'`
|
||||
checkFunc = func(result *milvuspb.SearchResults) {
|
||||
for _, f := range result.Results.GetFieldsData() {
|
||||
s.Nil(f)
|
||||
for _, topk := range result.GetResults().GetTopks() {
|
||||
s.Zero(topk)
|
||||
}
|
||||
}
|
||||
s.doSearch(collectionName, []string{fieldName}, expr, dim, checkFunc)
|
||||
|
@ -641,8 +641,8 @@ func (s *JSONExprSuite) checkSearch(collectionName, fieldName string, dim int) {
|
|||
|
||||
expr = `str2 like 'abc\\"def-%'`
|
||||
checkFunc = func(result *milvuspb.SearchResults) {
|
||||
for _, f := range result.Results.GetFieldsData() {
|
||||
s.Nil(f)
|
||||
for _, topk := range result.GetResults().GetTopks() {
|
||||
s.Zero(topk)
|
||||
}
|
||||
}
|
||||
s.doSearch(collectionName, []string{fieldName}, expr, dim, checkFunc)
|
||||
|
@ -660,8 +660,8 @@ func (s *JSONExprSuite) checkSearch(collectionName, fieldName string, dim int) {
|
|||
|
||||
expr = `A in []`
|
||||
checkFunc = func(result *milvuspb.SearchResults) {
|
||||
for _, f := range result.Results.GetFieldsData() {
|
||||
s.Nil(f)
|
||||
for _, topk := range result.GetResults().GetTopks() {
|
||||
s.Zero(topk)
|
||||
}
|
||||
}
|
||||
s.doSearch(collectionName, []string{fieldName}, expr, dim, checkFunc)
|
||||
|
@ -1116,8 +1116,8 @@ func (s *JSONExprSuite) TestJsonContains() {
|
|||
|
||||
expr = `json_contains_all(C, [0, 99])`
|
||||
checkFunc = func(result *milvuspb.SearchResults) {
|
||||
for _, f := range result.Results.GetFieldsData() {
|
||||
s.Nil(f)
|
||||
for _, topk := range result.GetResults().GetTopks() {
|
||||
s.Zero(topk)
|
||||
}
|
||||
}
|
||||
s.doSearch(collectionName, []string{"A"}, expr, dim, checkFunc)
|
||||
|
@ -1133,8 +1133,8 @@ func (s *JSONExprSuite) TestJsonContains() {
|
|||
|
||||
expr = `json_contains_any(C, [101, 102])`
|
||||
checkFunc = func(result *milvuspb.SearchResults) {
|
||||
for _, f := range result.Results.GetFieldsData() {
|
||||
s.Nil(f)
|
||||
for _, topk := range result.GetResults().GetTopks() {
|
||||
s.Zero(topk)
|
||||
}
|
||||
}
|
||||
s.doSearch(collectionName, []string{"A"}, expr, dim, checkFunc)
|
||||
|
|
Loading…
Reference in New Issue