mirror of
https://gitee.com/milvus-io/milvus.git
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175f49ea60
Related to #31293 Previous column is written using go before 1.18, which does not support generic type. After migrating client pkg to main repo, generic base could be used to reduce lots of duplicated code. --------- Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
300 lines
8.2 KiB
Go
300 lines
8.2 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 column
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import (
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"fmt"
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"math/rand"
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"testing"
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"github.com/stretchr/testify/suite"
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"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
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"github.com/milvus-io/milvus/client/v2/entity"
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)
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type ArraySuite struct {
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suite.Suite
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}
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func (s *ArraySuite) TestBasic() {
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s.Run("bool_array", func() {
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data := [][]bool{
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{true, false},
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{false, true},
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}
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name := fmt.Sprintf("field_%d", rand.Intn(100))
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column := NewColumnBoolArray(name, data)
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s.Equal(name, column.Name())
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s.Equal(entity.FieldTypeArray, column.Type())
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s.Equal(entity.FieldTypeBool, column.ElementType())
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fd := column.FieldData()
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arrayData := fd.GetScalars().GetArrayData()
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s.Equal(schemapb.DataType_Bool, arrayData.GetElementType())
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for i, row := range data {
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sf := arrayData.GetData()[i]
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s.Equal(row, sf.GetBoolData().GetData())
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}
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result, err := FieldDataColumn(fd, 0, -1)
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s.NoError(err)
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parsed, ok := result.(*ColumnBoolArray)
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if s.True(ok) {
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s.Equal(name, parsed.Name())
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s.Equal(data, parsed.Data())
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s.Equal(entity.FieldTypeArray, column.Type())
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s.Equal(entity.FieldTypeBool, column.ElementType())
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s.Equal(data, parsed.Data())
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}
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})
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s.Run("int8_array", func() {
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data := [][]int8{
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{1, 2},
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{3, 4},
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}
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name := fmt.Sprintf("field_%d", rand.Intn(100))
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column := NewColumnInt8Array(name, data)
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s.Equal(name, column.Name())
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s.Equal(entity.FieldTypeArray, column.Type())
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s.Equal(entity.FieldTypeInt8, column.ElementType())
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fd := column.FieldData()
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arrayData := fd.GetScalars().GetArrayData()
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s.Equal(schemapb.DataType_Int8, arrayData.GetElementType())
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for i, row := range data {
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sf := arrayData.GetData()[i]
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for j, item := range row {
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s.EqualValues(item, sf.GetIntData().GetData()[j])
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}
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}
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result, err := FieldDataColumn(fd, 0, -1)
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s.NoError(err)
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parsed, ok := result.(*ColumnInt8Array)
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if s.True(ok) {
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s.Equal(name, parsed.Name())
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s.Equal(data, parsed.Data())
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s.Equal(entity.FieldTypeArray, column.Type())
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s.Equal(entity.FieldTypeInt8, column.ElementType())
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s.Equal(data, parsed.Data())
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}
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})
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s.Run("int16_array", func() {
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data := [][]int16{
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{1, 2},
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{3, 4},
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}
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name := fmt.Sprintf("field_%d", rand.Intn(100))
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column := NewColumnInt16Array(name, data)
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s.Equal(name, column.Name())
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s.Equal(entity.FieldTypeArray, column.Type())
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s.Equal(entity.FieldTypeInt16, column.ElementType())
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fd := column.FieldData()
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arrayData := fd.GetScalars().GetArrayData()
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s.Equal(schemapb.DataType_Int16, arrayData.GetElementType())
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for i, row := range data {
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sf := arrayData.GetData()[i]
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for j, item := range row {
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s.EqualValues(item, sf.GetIntData().GetData()[j])
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}
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}
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result, err := FieldDataColumn(fd, 0, -1)
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s.NoError(err)
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parsed, ok := result.(*ColumnInt16Array)
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if s.True(ok) {
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s.Equal(name, parsed.Name())
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s.Equal(data, parsed.Data())
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s.Equal(entity.FieldTypeArray, column.Type())
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s.Equal(entity.FieldTypeInt16, column.ElementType())
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s.Equal(data, parsed.Data())
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}
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})
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s.Run("int32_array", func() {
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data := [][]int32{
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{1, 2},
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{3, 4},
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}
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name := fmt.Sprintf("field_%d", rand.Intn(100))
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column := NewColumnInt32Array(name, data)
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s.Equal(name, column.Name())
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s.Equal(entity.FieldTypeArray, column.Type())
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s.Equal(entity.FieldTypeInt32, column.ElementType())
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fd := column.FieldData()
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arrayData := fd.GetScalars().GetArrayData()
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s.Equal(schemapb.DataType_Int32, arrayData.GetElementType())
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for i, row := range data {
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sf := arrayData.GetData()[i]
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s.Equal(row, sf.GetIntData().GetData())
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}
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result, err := FieldDataColumn(fd, 0, -1)
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s.NoError(err)
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parsed, ok := result.(*ColumnInt32Array)
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if s.True(ok) {
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s.Equal(name, parsed.Name())
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s.Equal(data, parsed.Data())
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s.Equal(entity.FieldTypeArray, column.Type())
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s.Equal(entity.FieldTypeInt32, column.ElementType())
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s.Equal(data, parsed.Data())
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}
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})
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s.Run("int64_array", func() {
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data := [][]int64{
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{1, 2},
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{3, 4},
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}
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name := fmt.Sprintf("field_%d", rand.Intn(100))
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column := NewColumnInt64Array(name, data)
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s.Equal(name, column.Name())
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s.Equal(entity.FieldTypeArray, column.Type())
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s.Equal(entity.FieldTypeInt64, column.ElementType())
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fd := column.FieldData()
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arrayData := fd.GetScalars().GetArrayData()
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s.Equal(schemapb.DataType_Int64, arrayData.GetElementType())
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for i, row := range data {
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sf := arrayData.GetData()[i]
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s.Equal(row, sf.GetLongData().GetData())
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}
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result, err := FieldDataColumn(fd, 0, -1)
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s.NoError(err)
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parsed, ok := result.(*ColumnInt64Array)
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if s.True(ok) {
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s.Equal(name, parsed.Name())
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s.Equal(data, parsed.Data())
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s.Equal(entity.FieldTypeArray, column.Type())
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s.Equal(entity.FieldTypeInt64, column.ElementType())
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s.Equal(data, parsed.Data())
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}
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})
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s.Run("float_array", func() {
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data := [][]float32{
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{0.1, 0.2},
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{1.3, 1.4},
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}
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name := fmt.Sprintf("field_%d", rand.Intn(100))
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column := NewColumnFloatArray(name, data)
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s.Equal(name, column.Name())
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s.Equal(entity.FieldTypeArray, column.Type())
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s.Equal(entity.FieldTypeFloat, column.ElementType())
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fd := column.FieldData()
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arrayData := fd.GetScalars().GetArrayData()
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s.Equal(schemapb.DataType_Float, arrayData.GetElementType())
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for i, row := range data {
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sf := arrayData.GetData()[i]
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s.Equal(row, sf.GetFloatData().GetData())
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}
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result, err := FieldDataColumn(fd, 0, -1)
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s.NoError(err)
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parsed, ok := result.(*ColumnFloatArray)
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if s.True(ok) {
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s.Equal(name, parsed.Name())
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s.Equal(data, parsed.Data())
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s.Equal(entity.FieldTypeArray, column.Type())
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s.Equal(entity.FieldTypeFloat, column.ElementType())
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s.Equal(data, parsed.Data())
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}
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})
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s.Run("double_array", func() {
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data := [][]float64{
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{0.1, 0.2},
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{1.3, 1.4},
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}
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name := fmt.Sprintf("field_%d", rand.Intn(100))
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column := NewColumnDoubleArray(name, data)
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s.Equal(name, column.Name())
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s.Equal(entity.FieldTypeArray, column.Type())
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s.Equal(entity.FieldTypeDouble, column.ElementType())
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fd := column.FieldData()
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arrayData := fd.GetScalars().GetArrayData()
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s.Equal(schemapb.DataType_Double, arrayData.GetElementType())
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for i, row := range data {
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sf := arrayData.GetData()[i]
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s.Equal(row, sf.GetDoubleData().GetData())
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}
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result, err := FieldDataColumn(fd, 0, -1)
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s.NoError(err)
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parsed, ok := result.(*ColumnDoubleArray)
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if s.True(ok) {
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s.Equal(name, parsed.Name())
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s.Equal(data, parsed.Data())
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s.Equal(entity.FieldTypeArray, column.Type())
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s.Equal(entity.FieldTypeDouble, column.ElementType())
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s.Equal(data, parsed.Data())
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}
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})
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s.Run("varchar_array", func() {
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data := [][]string{
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{"abc", "def"},
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{"xyz"},
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}
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name := fmt.Sprintf("field_%d", rand.Intn(100))
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column := NewColumnVarCharArray(name, data)
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s.Equal(name, column.Name())
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s.Equal(entity.FieldTypeArray, column.Type())
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s.Equal(entity.FieldTypeVarChar, column.ElementType())
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fd := column.FieldData()
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arrayData := fd.GetScalars().GetArrayData()
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s.Equal(schemapb.DataType_VarChar, arrayData.GetElementType())
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for i, row := range data {
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sf := arrayData.GetData()[i]
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s.Equal(row, sf.GetStringData().GetData())
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}
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result, err := FieldDataColumn(fd, 0, -1)
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s.NoError(err)
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parsed, ok := result.(*ColumnVarCharArray)
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if s.True(ok) {
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s.Equal(name, parsed.Name())
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s.Equal(data, parsed.Data())
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s.Equal(entity.FieldTypeArray, column.Type())
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s.Equal(entity.FieldTypeVarChar, column.ElementType())
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s.Equal(data, parsed.Data())
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}
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})
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}
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func TestArrays(t *testing.T) {
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suite.Run(t, new(ArraySuite))
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}
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