// 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 column import ( "fmt" "math/rand" "testing" "github.com/stretchr/testify/suite" "github.com/milvus-io/milvus-proto/go-api/v2/schemapb" "github.com/milvus-io/milvus/client/v2/entity" ) type ArraySuite struct { suite.Suite } func (s *ArraySuite) TestBasic() { s.Run("bool_array", func() { data := [][]bool{ {true, false}, {false, true}, } name := fmt.Sprintf("field_%d", rand.Intn(100)) column := NewColumnBoolArray(name, data) s.Equal(name, column.Name()) s.Equal(entity.FieldTypeArray, column.Type()) s.Equal(entity.FieldTypeBool, column.ElementType()) fd := column.FieldData() arrayData := fd.GetScalars().GetArrayData() s.Equal(schemapb.DataType_Bool, arrayData.GetElementType()) for i, row := range data { sf := arrayData.GetData()[i] s.Equal(row, sf.GetBoolData().GetData()) } result, err := FieldDataColumn(fd, 0, -1) s.NoError(err) parsed, ok := result.(*ColumnBoolArray) if s.True(ok) { s.Equal(name, parsed.Name()) s.Equal(data, parsed.Data()) s.Equal(entity.FieldTypeArray, column.Type()) s.Equal(entity.FieldTypeBool, column.ElementType()) s.Equal(data, parsed.Data()) } }) s.Run("int8_array", func() { data := [][]int8{ {1, 2}, {3, 4}, } name := fmt.Sprintf("field_%d", rand.Intn(100)) column := NewColumnInt8Array(name, data) s.Equal(name, column.Name()) s.Equal(entity.FieldTypeArray, column.Type()) s.Equal(entity.FieldTypeInt8, column.ElementType()) fd := column.FieldData() arrayData := fd.GetScalars().GetArrayData() s.Equal(schemapb.DataType_Int8, arrayData.GetElementType()) for i, row := range data { sf := arrayData.GetData()[i] for j, item := range row { s.EqualValues(item, sf.GetIntData().GetData()[j]) } } result, err := FieldDataColumn(fd, 0, -1) s.NoError(err) parsed, ok := result.(*ColumnInt8Array) if s.True(ok) { s.Equal(name, parsed.Name()) s.Equal(data, parsed.Data()) s.Equal(entity.FieldTypeArray, column.Type()) s.Equal(entity.FieldTypeInt8, column.ElementType()) s.Equal(data, parsed.Data()) } }) s.Run("int16_array", func() { data := [][]int16{ {1, 2}, {3, 4}, } name := fmt.Sprintf("field_%d", rand.Intn(100)) column := NewColumnInt16Array(name, data) s.Equal(name, column.Name()) s.Equal(entity.FieldTypeArray, column.Type()) s.Equal(entity.FieldTypeInt16, column.ElementType()) fd := column.FieldData() arrayData := fd.GetScalars().GetArrayData() s.Equal(schemapb.DataType_Int16, arrayData.GetElementType()) for i, row := range data { sf := arrayData.GetData()[i] for j, item := range row { s.EqualValues(item, sf.GetIntData().GetData()[j]) } } result, err := FieldDataColumn(fd, 0, -1) s.NoError(err) parsed, ok := result.(*ColumnInt16Array) if s.True(ok) { s.Equal(name, parsed.Name()) s.Equal(data, parsed.Data()) s.Equal(entity.FieldTypeArray, column.Type()) s.Equal(entity.FieldTypeInt16, column.ElementType()) s.Equal(data, parsed.Data()) } }) s.Run("int32_array", func() { data := [][]int32{ {1, 2}, {3, 4}, } name := fmt.Sprintf("field_%d", rand.Intn(100)) column := NewColumnInt32Array(name, data) s.Equal(name, column.Name()) s.Equal(entity.FieldTypeArray, column.Type()) s.Equal(entity.FieldTypeInt32, column.ElementType()) fd := column.FieldData() arrayData := fd.GetScalars().GetArrayData() s.Equal(schemapb.DataType_Int32, arrayData.GetElementType()) for i, row := range data { sf := arrayData.GetData()[i] s.Equal(row, sf.GetIntData().GetData()) } result, err := FieldDataColumn(fd, 0, -1) s.NoError(err) parsed, ok := result.(*ColumnInt32Array) if s.True(ok) { s.Equal(name, parsed.Name()) s.Equal(data, parsed.Data()) s.Equal(entity.FieldTypeArray, column.Type()) s.Equal(entity.FieldTypeInt32, column.ElementType()) s.Equal(data, parsed.Data()) } }) s.Run("int64_array", func() { data := [][]int64{ {1, 2}, {3, 4}, } name := fmt.Sprintf("field_%d", rand.Intn(100)) column := NewColumnInt64Array(name, data) s.Equal(name, column.Name()) s.Equal(entity.FieldTypeArray, column.Type()) s.Equal(entity.FieldTypeInt64, column.ElementType()) fd := column.FieldData() arrayData := fd.GetScalars().GetArrayData() s.Equal(schemapb.DataType_Int64, arrayData.GetElementType()) for i, row := range data { sf := arrayData.GetData()[i] s.Equal(row, sf.GetLongData().GetData()) } result, err := FieldDataColumn(fd, 0, -1) s.NoError(err) parsed, ok := result.(*ColumnInt64Array) if s.True(ok) { s.Equal(name, parsed.Name()) s.Equal(data, parsed.Data()) s.Equal(entity.FieldTypeArray, column.Type()) s.Equal(entity.FieldTypeInt64, column.ElementType()) s.Equal(data, parsed.Data()) } }) s.Run("float_array", func() { data := [][]float32{ {0.1, 0.2}, {1.3, 1.4}, } name := fmt.Sprintf("field_%d", rand.Intn(100)) column := NewColumnFloatArray(name, data) s.Equal(name, column.Name()) s.Equal(entity.FieldTypeArray, column.Type()) s.Equal(entity.FieldTypeFloat, column.ElementType()) fd := column.FieldData() arrayData := fd.GetScalars().GetArrayData() s.Equal(schemapb.DataType_Float, arrayData.GetElementType()) for i, row := range data { sf := arrayData.GetData()[i] s.Equal(row, sf.GetFloatData().GetData()) } result, err := FieldDataColumn(fd, 0, -1) s.NoError(err) parsed, ok := result.(*ColumnFloatArray) if s.True(ok) { s.Equal(name, parsed.Name()) s.Equal(data, parsed.Data()) s.Equal(entity.FieldTypeArray, column.Type()) s.Equal(entity.FieldTypeFloat, column.ElementType()) s.Equal(data, parsed.Data()) } }) s.Run("double_array", func() { data := [][]float64{ {0.1, 0.2}, {1.3, 1.4}, } name := fmt.Sprintf("field_%d", rand.Intn(100)) column := NewColumnDoubleArray(name, data) s.Equal(name, column.Name()) s.Equal(entity.FieldTypeArray, column.Type()) s.Equal(entity.FieldTypeDouble, column.ElementType()) fd := column.FieldData() arrayData := fd.GetScalars().GetArrayData() s.Equal(schemapb.DataType_Double, arrayData.GetElementType()) for i, row := range data { sf := arrayData.GetData()[i] s.Equal(row, sf.GetDoubleData().GetData()) } result, err := FieldDataColumn(fd, 0, -1) s.NoError(err) parsed, ok := result.(*ColumnDoubleArray) if s.True(ok) { s.Equal(name, parsed.Name()) s.Equal(data, parsed.Data()) s.Equal(entity.FieldTypeArray, column.Type()) s.Equal(entity.FieldTypeDouble, column.ElementType()) s.Equal(data, parsed.Data()) } }) s.Run("varchar_array", func() { data := [][]string{ {"abc", "def"}, {"xyz"}, } name := fmt.Sprintf("field_%d", rand.Intn(100)) column := NewColumnVarCharArray(name, data) s.Equal(name, column.Name()) s.Equal(entity.FieldTypeArray, column.Type()) s.Equal(entity.FieldTypeVarChar, column.ElementType()) fd := column.FieldData() arrayData := fd.GetScalars().GetArrayData() s.Equal(schemapb.DataType_VarChar, arrayData.GetElementType()) for i, row := range data { sf := arrayData.GetData()[i] s.Equal(row, sf.GetStringData().GetData()) } result, err := FieldDataColumn(fd, 0, -1) s.NoError(err) parsed, ok := result.(*ColumnVarCharArray) if s.True(ok) { s.Equal(name, parsed.Name()) s.Equal(data, parsed.Data()) s.Equal(entity.FieldTypeArray, column.Type()) s.Equal(entity.FieldTypeVarChar, column.ElementType()) s.Equal(data, parsed.Data()) } }) } func TestArrays(t *testing.T) { suite.Run(t, new(ArraySuite)) }