mirror of
https://gitee.com/milvus-io/milvus.git
synced 2024-12-01 11:29:48 +08:00
e52b130ba6
Signed-off-by: godchen <qingxiang.chen@zilliz.com>
317 lines
8.6 KiB
Go
317 lines
8.6 KiB
Go
package storage
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import (
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"fmt"
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"testing"
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"github.com/stretchr/testify/assert"
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"github.com/zilliztech/milvus-distributed/internal/proto/etcdpb"
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"github.com/zilliztech/milvus-distributed/internal/proto/schemapb"
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)
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func TestInsertCodec(t *testing.T) {
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Schema := &etcdpb.CollectionMeta{
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ID: 1,
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CreateTime: 1,
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SegmentIDs: []int64{0, 1},
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PartitionTags: []string{"partition_0", "partition_1"},
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Schema: &schemapb.CollectionSchema{
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Name: "schema",
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Description: "schema",
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AutoID: true,
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Fields: []*schemapb.FieldSchema{
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{
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FieldID: 0,
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Name: "row_id",
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IsPrimaryKey: false,
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Description: "row_id",
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DataType: schemapb.DataType_INT64,
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},
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{
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FieldID: 1,
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Name: "Ts",
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IsPrimaryKey: false,
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Description: "Ts",
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DataType: schemapb.DataType_INT64,
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},
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{
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FieldID: 100,
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Name: "field_bool",
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IsPrimaryKey: false,
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Description: "description_2",
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DataType: schemapb.DataType_BOOL,
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},
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{
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FieldID: 101,
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Name: "field_int8",
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IsPrimaryKey: false,
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Description: "description_3",
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DataType: schemapb.DataType_INT8,
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},
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{
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FieldID: 102,
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Name: "field_int16",
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IsPrimaryKey: false,
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Description: "description_4",
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DataType: schemapb.DataType_INT16,
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},
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{
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FieldID: 103,
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Name: "field_int32",
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IsPrimaryKey: false,
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Description: "description_5",
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DataType: schemapb.DataType_INT32,
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},
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{
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FieldID: 104,
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Name: "field_int64",
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IsPrimaryKey: false,
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Description: "description_6",
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DataType: schemapb.DataType_INT64,
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},
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{
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FieldID: 105,
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Name: "field_float",
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IsPrimaryKey: false,
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Description: "description_7",
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DataType: schemapb.DataType_FLOAT,
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},
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{
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FieldID: 106,
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Name: "field_double",
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IsPrimaryKey: false,
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Description: "description_8",
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DataType: schemapb.DataType_DOUBLE,
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},
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{
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FieldID: 107,
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Name: "field_string",
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IsPrimaryKey: false,
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Description: "description_9",
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DataType: schemapb.DataType_STRING,
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},
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{
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FieldID: 108,
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Name: "field_binary_vector",
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IsPrimaryKey: false,
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Description: "description_10",
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DataType: schemapb.DataType_VECTOR_BINARY,
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},
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{
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FieldID: 109,
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Name: "field_float_vector",
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IsPrimaryKey: false,
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Description: "description_11",
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DataType: schemapb.DataType_VECTOR_FLOAT,
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},
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},
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},
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}
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insertCodec := NewInsertCodec(Schema)
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insertDataFirst := &InsertData{
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Data: map[int64]FieldData{
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0: &Int64FieldData{
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NumRows: 2,
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Data: []int64{3, 4},
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},
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1: &Int64FieldData{
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NumRows: 2,
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Data: []int64{3, 4},
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},
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100: &BoolFieldData{
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NumRows: 2,
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Data: []bool{true, false},
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},
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101: &Int8FieldData{
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NumRows: 2,
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Data: []int8{3, 4},
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},
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102: &Int16FieldData{
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NumRows: 2,
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Data: []int16{3, 4},
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},
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103: &Int32FieldData{
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NumRows: 2,
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Data: []int32{3, 4},
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},
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104: &Int64FieldData{
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NumRows: 2,
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Data: []int64{3, 4},
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},
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105: &FloatFieldData{
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NumRows: 2,
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Data: []float32{3, 4},
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},
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106: &DoubleFieldData{
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NumRows: 2,
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Data: []float64{3, 4},
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},
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107: &StringFieldData{
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NumRows: 2,
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Data: []string{"3", "4"},
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},
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108: &BinaryVectorFieldData{
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NumRows: 2,
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Data: []byte{0, 255},
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Dim: 8,
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},
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109: &FloatVectorFieldData{
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NumRows: 2,
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Data: []float32{0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7},
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Dim: 8,
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},
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},
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}
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insertDataSecond := &InsertData{
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Data: map[int64]FieldData{
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0: &Int64FieldData{
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NumRows: 2,
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Data: []int64{1, 2},
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},
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1: &Int64FieldData{
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NumRows: 2,
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Data: []int64{1, 2},
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},
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100: &BoolFieldData{
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NumRows: 2,
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Data: []bool{true, false},
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},
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101: &Int8FieldData{
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NumRows: 2,
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Data: []int8{1, 2},
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},
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102: &Int16FieldData{
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NumRows: 2,
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Data: []int16{1, 2},
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},
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103: &Int32FieldData{
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NumRows: 2,
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Data: []int32{1, 2},
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},
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104: &Int64FieldData{
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NumRows: 2,
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Data: []int64{1, 2},
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},
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105: &FloatFieldData{
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NumRows: 2,
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Data: []float32{1, 2},
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},
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106: &DoubleFieldData{
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NumRows: 2,
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Data: []float64{1, 2},
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},
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107: &StringFieldData{
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NumRows: 2,
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Data: []string{"1", "2"},
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},
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108: &BinaryVectorFieldData{
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NumRows: 2,
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Data: []byte{0, 255},
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Dim: 8,
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},
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109: &FloatVectorFieldData{
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NumRows: 2,
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Data: []float32{0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7},
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Dim: 8,
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},
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},
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}
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firstBlobs, err := insertCodec.Serialize(1, 1, insertDataFirst)
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assert.Nil(t, err)
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for _, blob := range firstBlobs {
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blob.Key = fmt.Sprintf("1/insert_log/2/3/4/5/%d", 100)
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}
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secondBlobs, err := insertCodec.Serialize(1, 1, insertDataSecond)
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assert.Nil(t, err)
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for _, blob := range secondBlobs {
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blob.Key = fmt.Sprintf("1/insert_log/2/3/4/5/%d", 99)
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}
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resultBlobs := append(firstBlobs, secondBlobs...)
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partitionID, segmentID, resultData, err := insertCodec.Deserialize(resultBlobs)
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assert.Nil(t, err)
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assert.Equal(t, int64(1), partitionID)
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assert.Equal(t, int64(1), segmentID)
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assert.Equal(t, 4, resultData.Data[0].(*Int64FieldData).NumRows)
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assert.Equal(t, 4, resultData.Data[1].(*Int64FieldData).NumRows)
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assert.Equal(t, 4, resultData.Data[100].(*BoolFieldData).NumRows)
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assert.Equal(t, 4, resultData.Data[101].(*Int8FieldData).NumRows)
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assert.Equal(t, 4, resultData.Data[102].(*Int16FieldData).NumRows)
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assert.Equal(t, 4, resultData.Data[103].(*Int32FieldData).NumRows)
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assert.Equal(t, 4, resultData.Data[104].(*Int64FieldData).NumRows)
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assert.Equal(t, 4, resultData.Data[105].(*FloatFieldData).NumRows)
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assert.Equal(t, 4, resultData.Data[106].(*DoubleFieldData).NumRows)
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assert.Equal(t, 4, resultData.Data[107].(*StringFieldData).NumRows)
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assert.Equal(t, 4, resultData.Data[108].(*BinaryVectorFieldData).NumRows)
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assert.Equal(t, 4, resultData.Data[109].(*FloatVectorFieldData).NumRows)
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assert.Equal(t, []int64{1, 2, 3, 4}, resultData.Data[0].(*Int64FieldData).Data)
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assert.Equal(t, []int64{1, 2, 3, 4}, resultData.Data[1].(*Int64FieldData).Data)
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assert.Equal(t, []bool{true, false, true, false}, resultData.Data[100].(*BoolFieldData).Data)
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assert.Equal(t, []int8{1, 2, 3, 4}, resultData.Data[101].(*Int8FieldData).Data)
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assert.Equal(t, []int16{1, 2, 3, 4}, resultData.Data[102].(*Int16FieldData).Data)
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assert.Equal(t, []int32{1, 2, 3, 4}, resultData.Data[103].(*Int32FieldData).Data)
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assert.Equal(t, []int64{1, 2, 3, 4}, resultData.Data[104].(*Int64FieldData).Data)
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assert.Equal(t, []float32{1, 2, 3, 4}, resultData.Data[105].(*FloatFieldData).Data)
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assert.Equal(t, []float64{1, 2, 3, 4}, resultData.Data[106].(*DoubleFieldData).Data)
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assert.Equal(t, []string{"1", "2", "3", "4"}, resultData.Data[107].(*StringFieldData).Data)
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assert.Equal(t, []byte{0, 255, 0, 255}, resultData.Data[108].(*BinaryVectorFieldData).Data)
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assert.Equal(t, []float32{0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7},
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resultData.Data[109].(*FloatVectorFieldData).Data)
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assert.Nil(t, insertCodec.Close())
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}
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func TestDDCodec(t *testing.T) {
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dataDefinitionCodec := NewDataDefinitionCodec(int64(1))
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ts := []Timestamp{
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1,
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2,
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3,
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4,
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}
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ddRequests := []string{
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"CreateCollection",
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"DropCollection",
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"CreatePartition",
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"DropPartition",
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}
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eventTypeCodes := []EventTypeCode{
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CreateCollectionEventType,
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DropCollectionEventType,
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CreatePartitionEventType,
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DropPartitionEventType,
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}
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blobs, err := dataDefinitionCodec.Serialize(ts, ddRequests, eventTypeCodes)
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assert.Nil(t, err)
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for _, blob := range blobs {
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blob.Key = fmt.Sprintf("1/data_definition/3/4/5/%d", 99)
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}
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resultTs, resultRequests, err := dataDefinitionCodec.Deserialize(blobs)
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assert.Nil(t, err)
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assert.Equal(t, resultTs, ts)
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assert.Equal(t, resultRequests, ddRequests)
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assert.Nil(t, dataDefinitionCodec.Close())
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}
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func TestIndexCodec(t *testing.T) {
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indexCodec := NewIndexCodec()
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blobs := []*Blob{
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{
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"12345",
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[]byte{1, 2, 3, 4, 5, 6, 7, 1, 2, 3, 4, 5, 6, 7},
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},
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{
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"6666",
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[]byte{6, 6, 6, 6, 6, 1, 2, 3, 4, 5, 6, 7},
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},
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{
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"8885",
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[]byte{8, 8, 8, 8, 8, 8, 8, 8, 2, 3, 4, 5, 6, 7},
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},
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}
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blobsInput, err := indexCodec.Serialize(blobs)
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assert.Nil(t, err)
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assert.Equal(t, blobs, blobsInput)
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blobsOutput, err := indexCodec.Deserialize(blobs)
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assert.Nil(t, err)
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assert.Equal(t, blobsOutput, blobsInput)
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}
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