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4004e4c545
Issue: #22837 Signed-off-by: Cai Yudong <yudong.cai@zilliz.com>
189 lines
5.9 KiB
Go
189 lines
5.9 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 json
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import (
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"context"
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"encoding/json"
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"io"
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"math"
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"strings"
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"testing"
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"github.com/stretchr/testify/mock"
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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/mocks"
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"github.com/milvus-io/milvus/internal/storage"
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"github.com/milvus-io/milvus/internal/util/testutil"
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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 (suite *ReaderSuite) SetupSuite() {
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paramtable.Get().Init(paramtable.NewBaseTable())
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}
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func (suite *ReaderSuite) SetupTest() {
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// default suite params
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suite.numRows = 100
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suite.pkDataType = schemapb.DataType_Int64
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suite.vecDataType = schemapb.DataType_FloatVector
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}
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func (suite *ReaderSuite) run(dataType schemapb.DataType, elemType schemapb.DataType) {
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schema := &schemapb.CollectionSchema{
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Fields: []*schemapb.FieldSchema{
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{
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FieldID: 100,
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Name: "pk",
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IsPrimaryKey: true,
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DataType: suite.pkDataType,
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TypeParams: []*commonpb.KeyValuePair{
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{
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Key: common.MaxLengthKey,
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Value: "128",
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},
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},
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},
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{
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FieldID: 101,
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Name: "vec",
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DataType: suite.vecDataType,
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TypeParams: []*commonpb.KeyValuePair{
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{
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Key: common.DimKey,
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Value: "8",
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},
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},
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},
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{
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FieldID: 102,
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Name: dataType.String(),
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DataType: dataType,
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ElementType: elemType,
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TypeParams: []*commonpb.KeyValuePair{
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{
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Key: common.MaxLengthKey,
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Value: "128",
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},
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},
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},
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},
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}
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insertData, err := testutil.CreateInsertData(schema, suite.numRows)
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suite.NoError(err)
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rows, err := testutil.CreateInsertDataRowsForJSON(schema, insertData)
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suite.NoError(err)
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jsonBytes, err := json.Marshal(rows)
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suite.NoError(err)
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type mockReader struct {
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io.Reader
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io.Closer
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io.ReaderAt
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io.Seeker
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}
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cm := mocks.NewChunkManager(suite.T())
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cm.EXPECT().Reader(mock.Anything, mock.Anything).RunAndReturn(func(ctx context.Context, s string) (storage.FileReader, error) {
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r := &mockReader{Reader: strings.NewReader(string(jsonBytes))}
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return r, nil
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})
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reader, err := NewReader(context.Background(), cm, schema, "mockPath", math.MaxInt)
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suite.NoError(err)
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checkFn := func(actualInsertData *storage.InsertData, offsetBegin, expectRows int) {
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expectInsertData := insertData
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for fieldID, data := range actualInsertData.Data {
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suite.Equal(expectRows, data.RowNum())
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fieldDataType := typeutil.GetField(schema, fieldID).GetDataType()
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for i := 0; i < expectRows; i++ {
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expect := expectInsertData.Data[fieldID].GetRow(i + offsetBegin)
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actual := data.GetRow(i)
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if fieldDataType == schemapb.DataType_Array {
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suite.True(slices.Equal(expect.(*schemapb.ScalarField).GetIntData().GetData(), actual.(*schemapb.ScalarField).GetIntData().GetData()))
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} else {
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suite.Equal(expect, actual)
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}
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}
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}
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}
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res, err := reader.Read()
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suite.NoError(err)
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checkFn(res, 0, suite.numRows)
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}
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func (suite *ReaderSuite) TestReadScalarFields() {
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suite.run(schemapb.DataType_Bool, schemapb.DataType_None)
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suite.run(schemapb.DataType_Int8, schemapb.DataType_None)
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suite.run(schemapb.DataType_Int16, schemapb.DataType_None)
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suite.run(schemapb.DataType_Int32, schemapb.DataType_None)
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suite.run(schemapb.DataType_Int64, schemapb.DataType_None)
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suite.run(schemapb.DataType_Float, schemapb.DataType_None)
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suite.run(schemapb.DataType_Double, schemapb.DataType_None)
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suite.run(schemapb.DataType_String, schemapb.DataType_None)
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suite.run(schemapb.DataType_VarChar, schemapb.DataType_None)
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suite.run(schemapb.DataType_JSON, schemapb.DataType_None)
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suite.run(schemapb.DataType_Array, schemapb.DataType_Bool)
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suite.run(schemapb.DataType_Array, schemapb.DataType_Int8)
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suite.run(schemapb.DataType_Array, schemapb.DataType_Int16)
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suite.run(schemapb.DataType_Array, schemapb.DataType_Int32)
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suite.run(schemapb.DataType_Array, schemapb.DataType_Int64)
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suite.run(schemapb.DataType_Array, schemapb.DataType_Float)
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suite.run(schemapb.DataType_Array, schemapb.DataType_Double)
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suite.run(schemapb.DataType_Array, schemapb.DataType_String)
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}
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func (suite *ReaderSuite) TestStringPK() {
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suite.pkDataType = schemapb.DataType_VarChar
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suite.run(schemapb.DataType_Int32, schemapb.DataType_None)
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}
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func (suite *ReaderSuite) TestVector() {
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suite.vecDataType = schemapb.DataType_BinaryVector
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suite.run(schemapb.DataType_Int32, schemapb.DataType_None)
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suite.vecDataType = schemapb.DataType_FloatVector
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suite.run(schemapb.DataType_Int32, schemapb.DataType_None)
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suite.vecDataType = schemapb.DataType_Float16Vector
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suite.run(schemapb.DataType_Int32, schemapb.DataType_None)
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suite.vecDataType = schemapb.DataType_BFloat16Vector
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suite.run(schemapb.DataType_Int32, schemapb.DataType_None)
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suite.vecDataType = schemapb.DataType_SparseFloatVector
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suite.run(schemapb.DataType_Int32, schemapb.DataType_None)
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}
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func TestUtil(t *testing.T) {
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suite.Run(t, new(ReaderSuite))
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}
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