mirror of
https://gitee.com/milvus-io/milvus.git
synced 2024-12-09 23:40:06 +08:00
273df98e20
issue: https://github.com/milvus-io/milvus/issues/28521 --------- Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
661 lines
21 KiB
Go
661 lines
21 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 parquet
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import (
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"context"
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"encoding/json"
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"fmt"
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"io"
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"math/rand"
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"os"
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"testing"
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"github.com/apache/arrow/go/v12/arrow"
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"github.com/apache/arrow/go/v12/arrow/array"
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"github.com/apache/arrow/go/v12/arrow/memory"
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"github.com/apache/arrow/go/v12/parquet"
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"github.com/apache/arrow/go/v12/parquet/pqarrow"
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"github.com/samber/lo"
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"github.com/stretchr/testify/assert"
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"github.com/stretchr/testify/suite"
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"golang.org/x/exp/slices"
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"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
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"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
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"github.com/milvus-io/milvus/internal/storage"
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"github.com/milvus-io/milvus/pkg/common"
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"github.com/milvus-io/milvus/pkg/util/paramtable"
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"github.com/milvus-io/milvus/pkg/util/typeutil"
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)
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type ReaderSuite struct {
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suite.Suite
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numRows int
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pkDataType schemapb.DataType
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vecDataType schemapb.DataType
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}
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func (s *ReaderSuite) SetupSuite() {
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paramtable.Get().Init(paramtable.NewBaseTable())
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}
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func (s *ReaderSuite) SetupTest() {
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// default suite params
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s.numRows = 100
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s.pkDataType = schemapb.DataType_Int64
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s.vecDataType = schemapb.DataType_FloatVector
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}
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func milvusDataTypeToArrowType(dataType schemapb.DataType, isBinary bool) arrow.DataType {
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switch dataType {
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case schemapb.DataType_Bool:
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return &arrow.BooleanType{}
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case schemapb.DataType_Int8:
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return &arrow.Int8Type{}
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case schemapb.DataType_Int16:
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return &arrow.Int16Type{}
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case schemapb.DataType_Int32:
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return &arrow.Int32Type{}
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case schemapb.DataType_Int64:
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return &arrow.Int64Type{}
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case schemapb.DataType_Float:
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return &arrow.Float32Type{}
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case schemapb.DataType_Double:
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return &arrow.Float64Type{}
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case schemapb.DataType_VarChar, schemapb.DataType_String:
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return &arrow.StringType{}
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case schemapb.DataType_Array:
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return &arrow.ListType{}
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case schemapb.DataType_JSON:
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return &arrow.StringType{}
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case schemapb.DataType_FloatVector:
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return arrow.ListOfField(arrow.Field{
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Name: "item",
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Type: &arrow.Float32Type{},
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Nullable: true,
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Metadata: arrow.Metadata{},
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})
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case schemapb.DataType_BinaryVector:
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if isBinary {
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return &arrow.BinaryType{}
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}
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return arrow.ListOfField(arrow.Field{
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Name: "item",
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Type: &arrow.Uint8Type{},
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Nullable: true,
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Metadata: arrow.Metadata{},
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})
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case schemapb.DataType_Float16Vector:
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return arrow.ListOfField(arrow.Field{
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Name: "item",
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Type: &arrow.Float16Type{},
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Nullable: true,
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Metadata: arrow.Metadata{},
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})
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default:
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panic("unsupported data type")
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}
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}
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func convertMilvusSchemaToArrowSchema(schema *schemapb.CollectionSchema) *arrow.Schema {
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fields := make([]arrow.Field, 0)
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for _, field := range schema.GetFields() {
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if field.GetDataType() == schemapb.DataType_Array {
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fields = append(fields, arrow.Field{
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Name: field.GetName(),
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Type: arrow.ListOfField(arrow.Field{
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Name: "item",
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Type: milvusDataTypeToArrowType(field.GetElementType(), false),
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Nullable: true,
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Metadata: arrow.Metadata{},
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}),
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Nullable: true,
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Metadata: arrow.Metadata{},
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})
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continue
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}
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fields = append(fields, arrow.Field{
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Name: field.GetName(),
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Type: milvusDataTypeToArrowType(field.GetDataType(), field.Name == "FieldBinaryVector2"),
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Nullable: true,
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Metadata: arrow.Metadata{},
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})
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}
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return arrow.NewSchema(fields, nil)
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}
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func randomString(length int) string {
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letterRunes := []rune("abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ")
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b := make([]rune, length)
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for i := range b {
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b[i] = letterRunes[rand.Intn(len(letterRunes))]
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}
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return string(b)
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}
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func buildArrayData(schema *schemapb.CollectionSchema, rows int) ([]arrow.Array, *storage.InsertData, error) {
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mem := memory.NewGoAllocator()
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columns := make([]arrow.Array, 0, len(schema.Fields))
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insertData, err := storage.NewInsertData(schema)
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if err != nil {
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return nil, nil, err
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}
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for _, field := range schema.Fields {
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dim := 1
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if typeutil.IsVectorType(field.GetDataType()) {
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dim2, err := typeutil.GetDim(field)
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if err != nil {
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return nil, nil, err
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}
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dim = int(dim2)
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}
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dataType := field.GetDataType()
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elementType := field.GetElementType()
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isBinary := field.GetName() == "FieldBinaryVector2"
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switch dataType {
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case schemapb.DataType_Bool:
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builder := array.NewBooleanBuilder(mem)
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boolData := make([]bool, 0)
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for i := 0; i < rows; i++ {
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boolData = append(boolData, i%2 == 0)
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}
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insertData.Data[field.GetFieldID()] = &storage.BoolFieldData{Data: boolData}
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builder.AppendValues(boolData, nil)
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columns = append(columns, builder.NewBooleanArray())
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case schemapb.DataType_Int8:
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builder := array.NewInt8Builder(mem)
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int8Data := make([]int8, 0)
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for i := 0; i < rows; i++ {
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int8Data = append(int8Data, int8(i))
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}
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insertData.Data[field.GetFieldID()] = &storage.Int8FieldData{Data: int8Data}
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builder.AppendValues(int8Data, nil)
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columns = append(columns, builder.NewInt8Array())
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case schemapb.DataType_Int16:
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int16Data := make([]int16, 0)
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builder := array.NewInt16Builder(mem)
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for i := 0; i < rows; i++ {
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int16Data = append(int16Data, int16(i))
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}
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insertData.Data[field.GetFieldID()] = &storage.Int16FieldData{Data: int16Data}
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builder.AppendValues(int16Data, nil)
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columns = append(columns, builder.NewInt16Array())
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case schemapb.DataType_Int32:
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int32Data := make([]int32, 0)
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builder := array.NewInt32Builder(mem)
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for i := 0; i < rows; i++ {
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int32Data = append(int32Data, int32(i))
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}
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insertData.Data[field.GetFieldID()] = &storage.Int32FieldData{Data: int32Data}
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builder.AppendValues(int32Data, nil)
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columns = append(columns, builder.NewInt32Array())
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case schemapb.DataType_Int64:
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int64Data := make([]int64, 0)
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builder := array.NewInt64Builder(mem)
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for i := 0; i < rows; i++ {
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int64Data = append(int64Data, int64(i))
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}
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insertData.Data[field.GetFieldID()] = &storage.Int64FieldData{Data: int64Data}
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builder.AppendValues(int64Data, nil)
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columns = append(columns, builder.NewInt64Array())
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case schemapb.DataType_Float:
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floatData := make([]float32, 0)
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builder := array.NewFloat32Builder(mem)
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for i := 0; i < rows; i++ {
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floatData = append(floatData, float32(i)*0.1)
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}
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insertData.Data[field.GetFieldID()] = &storage.FloatFieldData{Data: floatData}
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builder.AppendValues(floatData, nil)
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columns = append(columns, builder.NewFloat32Array())
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case schemapb.DataType_Double:
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doubleData := make([]float64, 0)
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builder := array.NewFloat64Builder(mem)
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for i := 0; i < rows; i++ {
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doubleData = append(doubleData, float64(i)*0.02)
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}
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insertData.Data[field.GetFieldID()] = &storage.DoubleFieldData{Data: doubleData}
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builder.AppendValues(doubleData, nil)
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columns = append(columns, builder.NewFloat64Array())
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case schemapb.DataType_VarChar, schemapb.DataType_String:
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varcharData := make([]string, 0)
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builder := array.NewStringBuilder(mem)
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for i := 0; i < rows; i++ {
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varcharData = append(varcharData, randomString(10))
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}
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insertData.Data[field.GetFieldID()] = &storage.StringFieldData{Data: varcharData}
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builder.AppendValues(varcharData, nil)
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columns = append(columns, builder.NewStringArray())
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case schemapb.DataType_FloatVector:
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floatVecData := make([]float32, 0)
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builder := array.NewListBuilder(mem, &arrow.Float32Type{})
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offsets := make([]int32, 0, rows)
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valid := make([]bool, 0, rows)
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for i := 0; i < dim*rows; i++ {
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floatVecData = append(floatVecData, float32(i))
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}
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builder.ValueBuilder().(*array.Float32Builder).AppendValues(floatVecData, nil)
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for i := 0; i < rows; i++ {
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offsets = append(offsets, int32(i*dim))
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valid = append(valid, true)
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}
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insertData.Data[field.GetFieldID()] = &storage.FloatVectorFieldData{Data: floatVecData, Dim: dim}
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builder.AppendValues(offsets, valid)
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columns = append(columns, builder.NewListArray())
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case schemapb.DataType_BinaryVector:
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if isBinary {
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binVecData := make([][]byte, 0)
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builder := array.NewBinaryBuilder(mem, &arrow.BinaryType{})
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for i := 0; i < rows; i++ {
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element := make([]byte, dim/8)
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for j := 0; j < dim/8; j++ {
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element[j] = randomString(1)[0]
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}
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binVecData = append(binVecData, element)
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}
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builder.AppendValues(binVecData, nil)
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columns = append(columns, builder.NewBinaryArray())
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insertData.Data[field.GetFieldID()] = &storage.BinaryVectorFieldData{Data: lo.Flatten(binVecData), Dim: dim}
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} else {
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binVecData := make([]byte, 0)
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builder := array.NewListBuilder(mem, &arrow.Uint8Type{})
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offsets := make([]int32, 0, rows)
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valid := make([]bool, 0)
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for i := 0; i < dim*rows/8; i++ {
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binVecData = append(binVecData, uint8(i))
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}
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builder.ValueBuilder().(*array.Uint8Builder).AppendValues(binVecData, nil)
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for i := 0; i < rows; i++ {
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offsets = append(offsets, int32(dim*i/8))
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valid = append(valid, true)
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}
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builder.AppendValues(offsets, valid)
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columns = append(columns, builder.NewListArray())
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insertData.Data[field.GetFieldID()] = &storage.BinaryVectorFieldData{Data: binVecData, Dim: dim}
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}
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case schemapb.DataType_JSON:
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jsonData := make([][]byte, 0)
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builder := array.NewStringBuilder(mem)
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for i := 0; i < rows; i++ {
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if i%4 == 0 {
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v, _ := json.Marshal(fmt.Sprintf("{\"a\": \"%s\", \"b\": %d}", randomString(3), i))
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jsonData = append(jsonData, v)
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} else if i%4 == 1 {
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v, _ := json.Marshal(i)
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jsonData = append(jsonData, v)
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} else if i%4 == 2 {
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v, _ := json.Marshal(float32(i) * 0.1)
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jsonData = append(jsonData, v)
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} else if i%4 == 3 {
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v, _ := json.Marshal(randomString(10))
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jsonData = append(jsonData, v)
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}
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}
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insertData.Data[field.GetFieldID()] = &storage.JSONFieldData{Data: jsonData}
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builder.AppendValues(lo.Map(jsonData, func(bs []byte, _ int) string {
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return string(bs)
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}), nil)
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columns = append(columns, builder.NewStringArray())
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case schemapb.DataType_Array:
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offsets := make([]int32, 0, rows)
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valid := make([]bool, 0, rows)
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index := 0
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for i := 0; i < rows; i++ {
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offsets = append(offsets, int32(index))
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valid = append(valid, true)
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index += 3
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}
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arrayData := make([]*schemapb.ScalarField, 0)
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switch elementType {
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case schemapb.DataType_Bool:
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builder := array.NewListBuilder(mem, &arrow.BooleanType{})
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valueBuilder := builder.ValueBuilder().(*array.BooleanBuilder)
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for i := 0; i < rows; i++ {
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data := []bool{i%2 == 0, i%3 == 0, i%4 == 0}
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arrayData = append(arrayData, &schemapb.ScalarField{
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Data: &schemapb.ScalarField_BoolData{
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BoolData: &schemapb.BoolArray{
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Data: data,
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},
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},
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})
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valueBuilder.AppendValues(data, nil)
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}
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insertData.Data[field.GetFieldID()] = &storage.ArrayFieldData{Data: arrayData}
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builder.AppendValues(offsets, valid)
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columns = append(columns, builder.NewListArray())
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case schemapb.DataType_Int8:
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builder := array.NewListBuilder(mem, &arrow.Int8Type{})
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valueBuilder := builder.ValueBuilder().(*array.Int8Builder)
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for i := 0; i < rows; i++ {
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data := []int32{int32(i), int32(i + 1), int32(i + 2)}
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data2 := []int8{int8(i), int8(i + 1), int8(i + 2)}
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arrayData = append(arrayData, &schemapb.ScalarField{
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Data: &schemapb.ScalarField_IntData{
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IntData: &schemapb.IntArray{
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Data: data,
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},
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},
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})
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valueBuilder.AppendValues(data2, nil)
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}
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insertData.Data[field.GetFieldID()] = &storage.ArrayFieldData{Data: arrayData}
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builder.AppendValues(offsets, valid)
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columns = append(columns, builder.NewListArray())
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case schemapb.DataType_Int16:
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builder := array.NewListBuilder(mem, &arrow.Int16Type{})
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valueBuilder := builder.ValueBuilder().(*array.Int16Builder)
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for i := 0; i < rows; i++ {
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data := []int32{int32(i), int32(i + 1), int32(i + 2)}
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data2 := []int16{int16(i), int16(i + 1), int16(i + 2)}
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arrayData = append(arrayData, &schemapb.ScalarField{
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Data: &schemapb.ScalarField_IntData{
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IntData: &schemapb.IntArray{
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Data: data,
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},
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},
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})
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valueBuilder.AppendValues(data2, nil)
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}
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insertData.Data[field.GetFieldID()] = &storage.ArrayFieldData{Data: arrayData}
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builder.AppendValues(offsets, valid)
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columns = append(columns, builder.NewListArray())
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case schemapb.DataType_Int32:
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builder := array.NewListBuilder(mem, &arrow.Int32Type{})
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valueBuilder := builder.ValueBuilder().(*array.Int32Builder)
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for i := 0; i < rows; i++ {
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data := []int32{int32(i), int32(i + 1), int32(i + 2)}
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arrayData = append(arrayData, &schemapb.ScalarField{
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Data: &schemapb.ScalarField_IntData{
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IntData: &schemapb.IntArray{
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Data: data,
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},
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},
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})
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valueBuilder.AppendValues(data, nil)
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}
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insertData.Data[field.GetFieldID()] = &storage.ArrayFieldData{Data: arrayData}
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builder.AppendValues(offsets, valid)
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columns = append(columns, builder.NewListArray())
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case schemapb.DataType_Int64:
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builder := array.NewListBuilder(mem, &arrow.Int64Type{})
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valueBuilder := builder.ValueBuilder().(*array.Int64Builder)
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for i := 0; i < rows; i++ {
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data := []int32{int32(i), int32(i + 1), int32(i + 2)}
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data2 := []int64{int64(i), int64(i + 1), int64(i + 2)}
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arrayData = append(arrayData, &schemapb.ScalarField{
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Data: &schemapb.ScalarField_IntData{
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IntData: &schemapb.IntArray{
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Data: data,
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},
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},
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})
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valueBuilder.AppendValues(data2, nil)
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}
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insertData.Data[field.GetFieldID()] = &storage.ArrayFieldData{Data: arrayData}
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builder.AppendValues(offsets, valid)
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columns = append(columns, builder.NewListArray())
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case schemapb.DataType_Float:
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builder := array.NewListBuilder(mem, &arrow.Float32Type{})
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valueBuilder := builder.ValueBuilder().(*array.Float32Builder)
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for i := 0; i < rows; i++ {
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data := []float32{float32(i) * 0.1, float32(i+1) * 0.1, float32(i+2) * 0.1}
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arrayData = append(arrayData, &schemapb.ScalarField{
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Data: &schemapb.ScalarField_FloatData{
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FloatData: &schemapb.FloatArray{
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Data: data,
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},
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},
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})
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valueBuilder.AppendValues(data, nil)
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}
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insertData.Data[field.GetFieldID()] = &storage.ArrayFieldData{Data: arrayData}
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builder.AppendValues(offsets, valid)
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columns = append(columns, builder.NewListArray())
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case schemapb.DataType_Double:
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builder := array.NewListBuilder(mem, &arrow.Float64Type{})
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valueBuilder := builder.ValueBuilder().(*array.Float64Builder)
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for i := 0; i < rows; i++ {
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data := []float64{float64(i) * 0.02, float64(i+1) * 0.02, float64(i+2) * 0.02}
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arrayData = append(arrayData, &schemapb.ScalarField{
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Data: &schemapb.ScalarField_DoubleData{
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DoubleData: &schemapb.DoubleArray{
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Data: data,
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},
|
|
},
|
|
})
|
|
valueBuilder.AppendValues(data, nil)
|
|
}
|
|
insertData.Data[field.GetFieldID()] = &storage.ArrayFieldData{Data: arrayData}
|
|
builder.AppendValues(offsets, valid)
|
|
columns = append(columns, builder.NewListArray())
|
|
case schemapb.DataType_VarChar, schemapb.DataType_String:
|
|
builder := array.NewListBuilder(mem, &arrow.StringType{})
|
|
valueBuilder := builder.ValueBuilder().(*array.StringBuilder)
|
|
for i := 0; i < rows; i++ {
|
|
data := []string{
|
|
randomString(5) + "-" + fmt.Sprintf("%d", i),
|
|
randomString(5) + "-" + fmt.Sprintf("%d", i),
|
|
randomString(5) + "-" + fmt.Sprintf("%d", i),
|
|
}
|
|
arrayData = append(arrayData, &schemapb.ScalarField{
|
|
Data: &schemapb.ScalarField_StringData{
|
|
StringData: &schemapb.StringArray{
|
|
Data: data,
|
|
},
|
|
},
|
|
})
|
|
valueBuilder.AppendValues(data, nil)
|
|
}
|
|
insertData.Data[field.GetFieldID()] = &storage.ArrayFieldData{Data: arrayData}
|
|
builder.AppendValues(offsets, valid)
|
|
columns = append(columns, builder.NewListArray())
|
|
}
|
|
}
|
|
}
|
|
return columns, insertData, nil
|
|
}
|
|
|
|
func writeParquet(w io.Writer, schema *schemapb.CollectionSchema, numRows int) (*storage.InsertData, error) {
|
|
pqSchema := convertMilvusSchemaToArrowSchema(schema)
|
|
fw, err := pqarrow.NewFileWriter(pqSchema, w, parquet.NewWriterProperties(parquet.WithMaxRowGroupLength(int64(numRows))), pqarrow.DefaultWriterProps())
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
defer fw.Close()
|
|
|
|
columns, insertData, err := buildArrayData(schema, numRows)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
recordBatch := array.NewRecord(pqSchema, columns, int64(numRows))
|
|
err = fw.Write(recordBatch)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
return insertData, nil
|
|
}
|
|
|
|
func (s *ReaderSuite) run(dt schemapb.DataType) {
|
|
schema := &schemapb.CollectionSchema{
|
|
Fields: []*schemapb.FieldSchema{
|
|
{
|
|
FieldID: 100,
|
|
Name: "pk",
|
|
IsPrimaryKey: true,
|
|
DataType: s.pkDataType,
|
|
TypeParams: []*commonpb.KeyValuePair{
|
|
{
|
|
Key: "max_length",
|
|
Value: "256",
|
|
},
|
|
},
|
|
},
|
|
{
|
|
FieldID: 101,
|
|
Name: "vec",
|
|
DataType: s.vecDataType,
|
|
TypeParams: []*commonpb.KeyValuePair{
|
|
{
|
|
Key: common.DimKey,
|
|
Value: "8",
|
|
},
|
|
},
|
|
},
|
|
{
|
|
FieldID: 102,
|
|
Name: dt.String(),
|
|
DataType: dt,
|
|
ElementType: schemapb.DataType_Int32,
|
|
TypeParams: []*commonpb.KeyValuePair{
|
|
{
|
|
Key: "max_length",
|
|
Value: "256",
|
|
},
|
|
},
|
|
},
|
|
},
|
|
}
|
|
|
|
filePath := fmt.Sprintf("/tmp/test_%d_reader.parquet", rand.Int())
|
|
defer os.Remove(filePath)
|
|
wf, err := os.OpenFile(filePath, os.O_RDWR|os.O_CREATE, 0o666)
|
|
assert.NoError(s.T(), err)
|
|
insertData, err := writeParquet(wf, schema, s.numRows)
|
|
assert.NoError(s.T(), err)
|
|
|
|
ctx := context.Background()
|
|
f := storage.NewChunkManagerFactory("local", storage.RootPath("/tmp/milvus_test/test_parquet_reader/"))
|
|
cm, err := f.NewPersistentStorageChunkManager(ctx)
|
|
assert.NoError(s.T(), err)
|
|
reader, err := NewReader(ctx, cm, schema, filePath, 64*1024*1024)
|
|
s.NoError(err)
|
|
|
|
checkFn := func(actualInsertData *storage.InsertData, offsetBegin, expectRows int) {
|
|
expectInsertData := insertData
|
|
for fieldID, data := range actualInsertData.Data {
|
|
s.Equal(expectRows, data.RowNum())
|
|
fieldDataType := typeutil.GetField(schema, fieldID).GetDataType()
|
|
for i := 0; i < expectRows; i++ {
|
|
expect := expectInsertData.Data[fieldID].GetRow(i + offsetBegin)
|
|
actual := data.GetRow(i)
|
|
if fieldDataType == schemapb.DataType_Array {
|
|
s.True(slices.Equal(expect.(*schemapb.ScalarField).GetIntData().GetData(), actual.(*schemapb.ScalarField).GetIntData().GetData()))
|
|
} else {
|
|
s.Equal(expect, actual)
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
res, err := reader.Read()
|
|
s.NoError(err)
|
|
checkFn(res, 0, s.numRows)
|
|
}
|
|
|
|
func (s *ReaderSuite) failRun(dt schemapb.DataType, isDynamic bool) {
|
|
schema := &schemapb.CollectionSchema{
|
|
Fields: []*schemapb.FieldSchema{
|
|
{
|
|
FieldID: 100,
|
|
Name: "pk",
|
|
IsPrimaryKey: true,
|
|
DataType: s.pkDataType,
|
|
TypeParams: []*commonpb.KeyValuePair{
|
|
{
|
|
Key: "max_length",
|
|
Value: "256",
|
|
},
|
|
},
|
|
},
|
|
{
|
|
FieldID: 101,
|
|
Name: "vec",
|
|
DataType: s.vecDataType,
|
|
TypeParams: []*commonpb.KeyValuePair{
|
|
{
|
|
Key: common.DimKey,
|
|
Value: "8",
|
|
},
|
|
},
|
|
},
|
|
{
|
|
FieldID: 102,
|
|
Name: dt.String(),
|
|
DataType: dt,
|
|
ElementType: schemapb.DataType_Int32,
|
|
TypeParams: []*commonpb.KeyValuePair{
|
|
{
|
|
Key: "max_length",
|
|
Value: "256",
|
|
},
|
|
},
|
|
IsDynamic: isDynamic,
|
|
},
|
|
},
|
|
}
|
|
|
|
filePath := fmt.Sprintf("/tmp/test_%d_reader.parquet", rand.Int())
|
|
defer os.Remove(filePath)
|
|
wf, err := os.OpenFile(filePath, os.O_RDWR|os.O_CREATE, 0o666)
|
|
assert.NoError(s.T(), err)
|
|
_, err = writeParquet(wf, schema, s.numRows)
|
|
assert.NoError(s.T(), err)
|
|
|
|
ctx := context.Background()
|
|
f := storage.NewChunkManagerFactory("local", storage.RootPath("/tmp/milvus_test/test_parquet_reader/"))
|
|
cm, err := f.NewPersistentStorageChunkManager(ctx)
|
|
assert.NoError(s.T(), err)
|
|
reader, err := NewReader(ctx, cm, schema, filePath, 64*1024*1024)
|
|
s.NoError(err)
|
|
|
|
_, err = reader.Read()
|
|
s.Error(err)
|
|
}
|
|
|
|
func (s *ReaderSuite) TestReadScalarFields() {
|
|
s.run(schemapb.DataType_Bool)
|
|
s.run(schemapb.DataType_Int8)
|
|
s.run(schemapb.DataType_Int16)
|
|
s.run(schemapb.DataType_Int32)
|
|
s.run(schemapb.DataType_Int64)
|
|
s.run(schemapb.DataType_Float)
|
|
s.run(schemapb.DataType_Double)
|
|
s.run(schemapb.DataType_VarChar)
|
|
s.run(schemapb.DataType_Array)
|
|
s.run(schemapb.DataType_JSON)
|
|
s.failRun(schemapb.DataType_JSON, true)
|
|
}
|
|
|
|
func (s *ReaderSuite) TestStringPK() {
|
|
s.pkDataType = schemapb.DataType_VarChar
|
|
s.run(schemapb.DataType_Int32)
|
|
}
|
|
|
|
func (s *ReaderSuite) TestBinaryAndFloat16Vector() {
|
|
s.vecDataType = schemapb.DataType_BinaryVector
|
|
s.run(schemapb.DataType_Int32)
|
|
// s.vecDataType = schemapb.DataType_Float16Vector
|
|
// s.run(schemapb.DataType_Int32) // TODO: dyh, support float16 vector
|
|
}
|
|
|
|
func TestUtil(t *testing.T) {
|
|
suite.Run(t, new(ReaderSuite))
|
|
}
|