milvus/internal/storage/data_codec.go

// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

package storage

import (
	"encoding/binary"
	"encoding/json"
	"fmt"
	"math"
	"sort"
	"strconv"
	"strings"

	"github.com/milvus-io/milvus-proto/go-api/schemapb"
	"github.com/milvus-io/milvus/internal/common"
	"github.com/milvus-io/milvus/internal/proto/etcdpb"
	"github.com/milvus-io/milvus/internal/util/typeutil"
)

const (
	// Ts is blob key "ts"
	Ts = "ts"
	// DDL is blob key "ddl"
	DDL = "ddl"
	// IndexParamsKey is blob key "indexParams"
	IndexParamsKey = "indexParams"
)

// when the blob of index file is too large, we can split blob into several rows,
// fortunately, the blob has no other semantics which differs from other binlog type,
// we then assemble these several rows into a whole blob when deserialize index binlog.
// num rows = math.Ceil(len(blob) / maxLengthPerRowOfIndexFile)
// There is only a string row in the past version index file which is a subset case of splitting into several rows.
// So splitting index file won't introduce incompatibility with past version.
const maxLengthPerRowOfIndexFile = 4 * 1024 * 1024

type (
	// UniqueID is type alias of typeutil.UniqueID
	UniqueID = typeutil.UniqueID

	// FieldID represent the identity number of filed in collection and its type is UniqueID
	FieldID = typeutil.UniqueID

	// Timestamp is type alias of typeutil.Timestamp
	Timestamp = typeutil.Timestamp
)

// InvalidUniqueID is used when the UniqueID is not set (like in return with err)
const InvalidUniqueID = UniqueID(-1)

// Blob is a pack of key&value
type Blob struct {
	Key   string
	Value []byte
	Size  int64
}

// BlobList implements sort.Interface for a list of Blob
type BlobList []*Blob

// Len implements Len in sort.Interface
func (s BlobList) Len() int {
	return len(s)
}

// Less implements Less in sort.Interface
func (s BlobList) Less(i, j int) bool {
	leftValues := strings.Split(s[i].Key, "/")
	rightValues := strings.Split(s[j].Key, "/")
	left, _ := strconv.ParseInt(leftValues[len(leftValues)-1], 0, 10)
	right, _ := strconv.ParseInt(rightValues[len(rightValues)-1], 0, 10)
	return left < right
}

// Swap implements Swap in sort.Interface
func (s BlobList) Swap(i, j int) {
	s[i], s[j] = s[j], s[i]
}

// GetKey returns the key of blob
func (b Blob) GetKey() string {
	return b.Key
}

// GetValue returns the value of blob
func (b Blob) GetValue() []byte {
	return b.Value
}

// FieldData defines field data interface
type FieldData interface {
	GetMemorySize() int
	RowNum() int
	GetRow(i int) interface{}
}

type BoolFieldData struct {
	NumRows []int64
	Data    []bool
}
type Int8FieldData struct {
	NumRows []int64
	Data    []int8
}
type Int16FieldData struct {
	NumRows []int64
	Data    []int16
}
type Int32FieldData struct {
	NumRows []int64
	Data    []int32
}
type Int64FieldData struct {
	NumRows []int64
	Data    []int64
}
type FloatFieldData struct {
	NumRows []int64
	Data    []float32
}
type DoubleFieldData struct {
	NumRows []int64
	Data    []float64
}
type StringFieldData struct {
	NumRows []int64
	Data    []string
}
type BinaryVectorFieldData struct {
	NumRows []int64
	Data    []byte
	Dim     int
}
type FloatVectorFieldData struct {
	NumRows []int64
	Data    []float32
	Dim     int
}

// RowNum implements FieldData.RowNum
func (data *BoolFieldData) RowNum() int         { return len(data.Data) }
func (data *Int8FieldData) RowNum() int         { return len(data.Data) }
func (data *Int16FieldData) RowNum() int        { return len(data.Data) }
func (data *Int32FieldData) RowNum() int        { return len(data.Data) }
func (data *Int64FieldData) RowNum() int        { return len(data.Data) }
func (data *FloatFieldData) RowNum() int        { return len(data.Data) }
func (data *DoubleFieldData) RowNum() int       { return len(data.Data) }
func (data *StringFieldData) RowNum() int       { return len(data.Data) }
func (data *BinaryVectorFieldData) RowNum() int { return len(data.Data) * 8 / data.Dim }
func (data *FloatVectorFieldData) RowNum() int  { return len(data.Data) / data.Dim }

// GetRow implements FieldData.GetRow
func (data *BoolFieldData) GetRow(i int) interface{}   { return data.Data[i] }
func (data *Int8FieldData) GetRow(i int) interface{}   { return data.Data[i] }
func (data *Int16FieldData) GetRow(i int) interface{}  { return data.Data[i] }
func (data *Int32FieldData) GetRow(i int) interface{}  { return data.Data[i] }
func (data *Int64FieldData) GetRow(i int) interface{}  { return data.Data[i] }
func (data *FloatFieldData) GetRow(i int) interface{}  { return data.Data[i] }
func (data *DoubleFieldData) GetRow(i int) interface{} { return data.Data[i] }
func (data *StringFieldData) GetRow(i int) interface{} { return data.Data[i] }
func (data *BinaryVectorFieldData) GetRow(i int) interface{} {
	return data.Data[i*data.Dim/8 : (i+1)*data.Dim/8]
}
func (data *FloatVectorFieldData) GetRow(i int) interface{} {
	return data.Data[i*data.Dim : (i+1)*data.Dim]
}

// why not binary.Size(data) directly? binary.Size(data) return -1
// binary.Size returns how many bytes Write would generate to encode the value v, which
// must be a fixed-size value or a slice of fixed-size values, or a pointer to such data.
// If v is neither of these, binary.Size returns -1.

// GetMemorySize implements FieldData.GetMemorySize
func (data *BoolFieldData) GetMemorySize() int {
	return binary.Size(data.NumRows) + binary.Size(data.Data)
}

// GetMemorySize implements FieldData.GetMemorySize
func (data *Int8FieldData) GetMemorySize() int {
	return binary.Size(data.NumRows) + binary.Size(data.Data)
}

// GetMemorySize implements FieldData.GetMemorySize
func (data *Int16FieldData) GetMemorySize() int {
	return binary.Size(data.NumRows) + binary.Size(data.Data)
}

// GetMemorySize implements FieldData.GetMemorySize
func (data *Int32FieldData) GetMemorySize() int {
	return binary.Size(data.NumRows) + binary.Size(data.Data)
}

// GetMemorySize implements FieldData.GetMemorySize
func (data *Int64FieldData) GetMemorySize() int {
	return binary.Size(data.NumRows) + binary.Size(data.Data)
}

func (data *FloatFieldData) GetMemorySize() int {
	return binary.Size(data.NumRows) + binary.Size(data.Data)
}

func (data *DoubleFieldData) GetMemorySize() int {
	return binary.Size(data.NumRows) + binary.Size(data.Data)
}

func (data *StringFieldData) GetMemorySize() int {
	return binary.Size(data.NumRows) + binary.Size(data.Data)
}

func (data *BinaryVectorFieldData) GetMemorySize() int {
	return binary.Size(data.NumRows) + binary.Size(data.Data) + binary.Size(data.Dim)
}

func (data *FloatVectorFieldData) GetMemorySize() int {
	return binary.Size(data.NumRows) + binary.Size(data.Data) + binary.Size(data.Dim)
}

// system filed id:
// 0: unique row id
// 1: timestamp
// 100: first user field id
// 101: second user field id
// 102: ...

// TODO: fill it
// info for each blob
type BlobInfo struct {
	Length int
}

// InsertData example row_schema: {float_field, int_field, float_vector_field, string_field}
// Data {<0, row_id>, <1, timestamp>, <100, float_field>, <101, int_field>, <102, float_vector_field>, <103, string_field>}
type InsertData struct {
	// Todo, data should be zero copy by passing data directly to event reader or change Data to map[FieldID]FieldDataArray
	Data  map[FieldID]FieldData // field id to field data
	Infos []BlobInfo
}

// InsertCodec serializes and deserializes the insert data
// Blob key example:
// ${tenant}/insert_log/${collection_id}/${partition_id}/${segment_id}/${field_id}/${log_idx}
type InsertCodec struct {
	Schema *etcdpb.CollectionMeta
}

// NewInsertCodec creates an InsertCodec with provided collection meta
func NewInsertCodec(schema *etcdpb.CollectionMeta) *InsertCodec {
	return &InsertCodec{Schema: schema}
}

// Serialize transfer insert data to blob. It will sort insert data by timestamp.
// From schema, it gets all fields.
// For each field, it will create a binlog writer, and write an event to the binlog.
// It returns binlog buffer in the end.
func (insertCodec *InsertCodec) Serialize(partitionID UniqueID, segmentID UniqueID, data *InsertData) ([]*Blob, []*Blob, error) {
	blobs := make([]*Blob, 0)
	statsBlobs := make([]*Blob, 0)
	var writer *InsertBinlogWriter
	timeFieldData, ok := data.Data[common.TimeStampField]
	if !ok {
		return nil, nil, fmt.Errorf("data doesn't contains timestamp field")
	}
	if timeFieldData.RowNum() <= 0 {
		return nil, nil, fmt.Errorf("there's no data in InsertData")
	}

	ts := timeFieldData.(*Int64FieldData).Data
	startTs := ts[0]
	endTs := ts[len(ts)-1]

	// sort insert data by rowID
	dataSorter := &DataSorter{
		InsertCodec: insertCodec,
		InsertData:  data,
	}
	sort.Sort(dataSorter)

	for _, field := range insertCodec.Schema.Schema.Fields {
		singleData := data.Data[field.FieldID]

		// encode fields
		writer = NewInsertBinlogWriter(field.DataType, insertCodec.Schema.ID, partitionID, segmentID, field.FieldID)
		var eventWriter *insertEventWriter
		var err error
		if typeutil.IsVectorType(field.DataType) {
			switch field.DataType {
			case schemapb.DataType_FloatVector:
				eventWriter, err = writer.NextInsertEventWriter(singleData.(*FloatVectorFieldData).Dim)
			case schemapb.DataType_BinaryVector:
				eventWriter, err = writer.NextInsertEventWriter(singleData.(*BinaryVectorFieldData).Dim)
			default:
				return nil, nil, fmt.Errorf("undefined data type %d", field.DataType)
			}
		} else {
			eventWriter, err = writer.NextInsertEventWriter()
		}
		if err != nil {
			writer.Close()
			return nil, nil, err
		}

		eventWriter.SetEventTimestamp(typeutil.Timestamp(startTs), typeutil.Timestamp(endTs))
		switch field.DataType {
		case schemapb.DataType_Bool:
			err = eventWriter.AddBoolToPayload(singleData.(*BoolFieldData).Data)
			if err != nil {
				eventWriter.Close()
				writer.Close()
				return nil, nil, err
			}
			writer.AddExtra(originalSizeKey, fmt.Sprintf("%v", singleData.(*BoolFieldData).GetMemorySize()))
		case schemapb.DataType_Int8:
			err = eventWriter.AddInt8ToPayload(singleData.(*Int8FieldData).Data)
			if err != nil {
				eventWriter.Close()
				writer.Close()
				return nil, nil, err
			}
			writer.AddExtra(originalSizeKey, fmt.Sprintf("%v", singleData.(*Int8FieldData).GetMemorySize()))
		case schemapb.DataType_Int16:
			err = eventWriter.AddInt16ToPayload(singleData.(*Int16FieldData).Data)
			if err != nil {
				eventWriter.Close()
				writer.Close()
				return nil, nil, err
			}
			writer.AddExtra(originalSizeKey, fmt.Sprintf("%v", singleData.(*Int16FieldData).GetMemorySize()))
		case schemapb.DataType_Int32:
			err = eventWriter.AddInt32ToPayload(singleData.(*Int32FieldData).Data)
			if err != nil {
				eventWriter.Close()
				writer.Close()
				return nil, nil, err
			}
			writer.AddExtra(originalSizeKey, fmt.Sprintf("%v", singleData.(*Int32FieldData).GetMemorySize()))
		case schemapb.DataType_Int64:
			err = eventWriter.AddInt64ToPayload(singleData.(*Int64FieldData).Data)
			if err != nil {
				eventWriter.Close()
				writer.Close()
				return nil, nil, err
			}
			writer.AddExtra(originalSizeKey, fmt.Sprintf("%v", singleData.(*Int64FieldData).GetMemorySize()))
		case schemapb.DataType_Float:
			err = eventWriter.AddFloatToPayload(singleData.(*FloatFieldData).Data)
			if err != nil {
				eventWriter.Close()
				writer.Close()
				return nil, nil, err
			}
			writer.AddExtra(originalSizeKey, fmt.Sprintf("%v", singleData.(*FloatFieldData).GetMemorySize()))
		case schemapb.DataType_Double:
			err = eventWriter.AddDoubleToPayload(singleData.(*DoubleFieldData).Data)
			if err != nil {
				eventWriter.Close()
				writer.Close()
				return nil, nil, err
			}
			writer.AddExtra(originalSizeKey, fmt.Sprintf("%v", singleData.(*DoubleFieldData).GetMemorySize()))
		case schemapb.DataType_String, schemapb.DataType_VarChar:
			for _, singleString := range singleData.(*StringFieldData).Data {
				err = eventWriter.AddOneStringToPayload(singleString)
				if err != nil {
					eventWriter.Close()
					writer.Close()
					return nil, nil, err
				}
			}
			writer.AddExtra(originalSizeKey, fmt.Sprintf("%v", singleData.(*StringFieldData).GetMemorySize()))
		case schemapb.DataType_BinaryVector:
			err = eventWriter.AddBinaryVectorToPayload(singleData.(*BinaryVectorFieldData).Data, singleData.(*BinaryVectorFieldData).Dim)
			if err != nil {
				eventWriter.Close()
				writer.Close()
				return nil, nil, err
			}
			writer.AddExtra(originalSizeKey, fmt.Sprintf("%v", singleData.(*BinaryVectorFieldData).GetMemorySize()))
		case schemapb.DataType_FloatVector:
			err = eventWriter.AddFloatVectorToPayload(singleData.(*FloatVectorFieldData).Data, singleData.(*FloatVectorFieldData).Dim)
			if err != nil {
				eventWriter.Close()
				writer.Close()
				return nil, nil, err
			}
			writer.AddExtra(originalSizeKey, fmt.Sprintf("%v", singleData.(*FloatVectorFieldData).GetMemorySize()))
		default:
			return nil, nil, fmt.Errorf("undefined data type %d", field.DataType)
		}
		if err != nil {
			return nil, nil, err
		}
		writer.SetEventTimeStamp(typeutil.Timestamp(startTs), typeutil.Timestamp(endTs))

		err = writer.Finish()
		if err != nil {
			eventWriter.Close()
			writer.Close()
			return nil, nil, err
		}

		buffer, err := writer.GetBuffer()
		if err != nil {
			eventWriter.Close()
			writer.Close()
			return nil, nil, err
		}
		blobKey := fmt.Sprintf("%d", field.FieldID)
		blobs = append(blobs, &Blob{
			Key:   blobKey,
			Value: buffer,
		})
		eventWriter.Close()
		writer.Close()

		// stats fields
		if field.GetIsPrimaryKey() {
			statsWriter := &StatsWriter{}
			err = statsWriter.GeneratePrimaryKeyStats(field.FieldID, field.DataType, singleData)
			if err != nil {
				return nil, nil, err
			}
			statsBuffer := statsWriter.GetBuffer()
			statsBlobs = append(statsBlobs, &Blob{
				Key:   blobKey,
				Value: statsBuffer,
			})
		}
	}

	return blobs, statsBlobs, nil
}

func (insertCodec *InsertCodec) DeserializeAll(blobs []*Blob) (
	collectionID UniqueID,
	partitionID UniqueID,
	segmentID UniqueID,
	data *InsertData,
	err error,
) {
	if len(blobs) == 0 {
		return InvalidUniqueID, InvalidUniqueID, InvalidUniqueID, nil, fmt.Errorf("blobs is empty")
	}

	var blobList BlobList = blobs
	sort.Sort(blobList)

	data = &InsertData{
		Data: make(map[FieldID]FieldData),
	}
	if collectionID, partitionID, segmentID, err = insertCodec.DeserializeInto(blobs, 0, data); err != nil {
		return InvalidUniqueID, InvalidUniqueID, InvalidUniqueID, nil, err
	}

	return
}

func (insertCodec *InsertCodec) DeserializeInto(fieldBinlogs []*Blob, rowNum int, insertData *InsertData) (
	collectionID UniqueID,
	partitionID UniqueID,
	segmentID UniqueID,
	err error,
) {
	for _, blob := range fieldBinlogs {
		binlogReader, err := NewBinlogReader(blob.Value)
		if err != nil {
			return InvalidUniqueID, InvalidUniqueID, InvalidUniqueID, err
		}

		// read partitionID and SegmentID
		collectionID, partitionID, segmentID = binlogReader.CollectionID, binlogReader.PartitionID, binlogReader.SegmentID

		dataType := binlogReader.PayloadDataType
		fieldID := binlogReader.FieldID
		totalLength := 0
		dim := 0

		for {
			eventReader, err := binlogReader.NextEventReader()
			if err != nil {
				return InvalidUniqueID, InvalidUniqueID, InvalidUniqueID, err
			}
			if eventReader == nil {
				break
			}
			switch dataType {
			case schemapb.DataType_Bool:
				singleData, err := eventReader.GetBoolFromPayload()
				if err != nil {
					eventReader.Close()
					binlogReader.Close()
					return InvalidUniqueID, InvalidUniqueID, InvalidUniqueID, err
				}

				if insertData.Data[fieldID] == nil {
					insertData.Data[fieldID] = &BoolFieldData{
						NumRows: make([]int64, 0),
						Data:    make([]bool, 0, rowNum),
					}
				}
				boolFieldData := insertData.Data[fieldID].(*BoolFieldData)

				boolFieldData.Data = append(boolFieldData.Data, singleData...)
				totalLength += len(singleData)
				boolFieldData.NumRows = append(boolFieldData.NumRows, int64(len(singleData)))
				insertData.Data[fieldID] = boolFieldData

			case schemapb.DataType_Int8:
				singleData, err := eventReader.GetInt8FromPayload()
				if err != nil {
					eventReader.Close()
					binlogReader.Close()
					return InvalidUniqueID, InvalidUniqueID, InvalidUniqueID, err
				}

				if insertData.Data[fieldID] == nil {
					insertData.Data[fieldID] = &Int8FieldData{
						NumRows: make([]int64, 0),
						Data:    make([]int8, 0, rowNum),
					}
				}
				int8FieldData := insertData.Data[fieldID].(*Int8FieldData)

				int8FieldData.Data = append(int8FieldData.Data, singleData...)
				totalLength += len(singleData)
				int8FieldData.NumRows = append(int8FieldData.NumRows, int64(len(singleData)))
				insertData.Data[fieldID] = int8FieldData

			case schemapb.DataType_Int16:
				singleData, err := eventReader.GetInt16FromPayload()
				if err != nil {
					eventReader.Close()
					binlogReader.Close()
					return InvalidUniqueID, InvalidUniqueID, InvalidUniqueID, err
				}

				if insertData.Data[fieldID] == nil {
					insertData.Data[fieldID] = &Int16FieldData{
						NumRows: make([]int64, 0),
						Data:    make([]int16, 0, rowNum),
					}
				}
				int16FieldData := insertData.Data[fieldID].(*Int16FieldData)

				int16FieldData.Data = append(int16FieldData.Data, singleData...)
				totalLength += len(singleData)
				int16FieldData.NumRows = append(int16FieldData.NumRows, int64(len(singleData)))
				insertData.Data[fieldID] = int16FieldData

			case schemapb.DataType_Int32:
				singleData, err := eventReader.GetInt32FromPayload()
				if err != nil {
					eventReader.Close()
					binlogReader.Close()
					return InvalidUniqueID, InvalidUniqueID, InvalidUniqueID, err
				}

				if insertData.Data[fieldID] == nil {
					insertData.Data[fieldID] = &Int32FieldData{
						NumRows: make([]int64, 0),
						Data:    make([]int32, 0, rowNum),
					}
				}
				int32FieldData := insertData.Data[fieldID].(*Int32FieldData)

				int32FieldData.Data = append(int32FieldData.Data, singleData...)
				totalLength += len(singleData)
				int32FieldData.NumRows = append(int32FieldData.NumRows, int64(len(singleData)))
				insertData.Data[fieldID] = int32FieldData

			case schemapb.DataType_Int64:
				singleData, err := eventReader.GetInt64FromPayload()
				if err != nil {
					eventReader.Close()
					binlogReader.Close()
					return InvalidUniqueID, InvalidUniqueID, InvalidUniqueID, err
				}

				if insertData.Data[fieldID] == nil {
					insertData.Data[fieldID] = &Int64FieldData{
						NumRows: make([]int64, 0),
						Data:    make([]int64, 0, rowNum),
					}
				}
				int64FieldData := insertData.Data[fieldID].(*Int64FieldData)

				int64FieldData.Data = append(int64FieldData.Data, singleData...)
				totalLength += len(singleData)
				int64FieldData.NumRows = append(int64FieldData.NumRows, int64(len(singleData)))
				insertData.Data[fieldID] = int64FieldData

			case schemapb.DataType_Float:
				singleData, err := eventReader.GetFloatFromPayload()
				if err != nil {
					eventReader.Close()
					binlogReader.Close()
					return InvalidUniqueID, InvalidUniqueID, InvalidUniqueID, err
				}

				if insertData.Data[fieldID] == nil {
					insertData.Data[fieldID] = &FloatFieldData{
						NumRows: make([]int64, 0),
						Data:    make([]float32, 0, rowNum),
					}
				}
				floatFieldData := insertData.Data[fieldID].(*FloatFieldData)

				floatFieldData.Data = append(floatFieldData.Data, singleData...)
				totalLength += len(singleData)
				floatFieldData.NumRows = append(floatFieldData.NumRows, int64(len(singleData)))
				insertData.Data[fieldID] = floatFieldData

			case schemapb.DataType_Double:
				singleData, err := eventReader.GetDoubleFromPayload()
				if err != nil {
					eventReader.Close()
					binlogReader.Close()
					return InvalidUniqueID, InvalidUniqueID, InvalidUniqueID, err
				}

				if insertData.Data[fieldID] == nil {
					insertData.Data[fieldID] = &DoubleFieldData{
						NumRows: make([]int64, 0),
						Data:    make([]float64, 0, rowNum),
					}
				}
				doubleFieldData := insertData.Data[fieldID].(*DoubleFieldData)

				doubleFieldData.Data = append(doubleFieldData.Data, singleData...)
				totalLength += len(singleData)
				doubleFieldData.NumRows = append(doubleFieldData.NumRows, int64(len(singleData)))
				insertData.Data[fieldID] = doubleFieldData

			case schemapb.DataType_String, schemapb.DataType_VarChar:
				stringPayload, err := eventReader.GetStringFromPayload()
				if err != nil {
					eventReader.Close()
					binlogReader.Close()
					return InvalidUniqueID, InvalidUniqueID, InvalidUniqueID, err
				}

				if insertData.Data[fieldID] == nil {
					insertData.Data[fieldID] = &StringFieldData{
						NumRows: make([]int64, 0),
						Data:    make([]string, 0, rowNum),
					}
				}
				stringFieldData := insertData.Data[fieldID].(*StringFieldData)

				stringFieldData.Data = append(stringFieldData.Data, stringPayload...)
				totalLength += len(stringPayload)
				stringFieldData.NumRows = append(stringFieldData.NumRows, int64(len(stringPayload)))
				insertData.Data[fieldID] = stringFieldData

			case schemapb.DataType_BinaryVector:
				var singleData []byte
				singleData, dim, err = eventReader.GetBinaryVectorFromPayload()
				if err != nil {
					eventReader.Close()
					binlogReader.Close()
					return InvalidUniqueID, InvalidUniqueID, InvalidUniqueID, err
				}

				if insertData.Data[fieldID] == nil {
					insertData.Data[fieldID] = &BinaryVectorFieldData{
						NumRows: make([]int64, 0),
						Data:    make([]byte, 0, rowNum*dim),
					}
				}
				binaryVectorFieldData := insertData.Data[fieldID].(*BinaryVectorFieldData)

				binaryVectorFieldData.Data = append(binaryVectorFieldData.Data, singleData...)
				length, err := eventReader.GetPayloadLengthFromReader()
				if err != nil {
					eventReader.Close()
					binlogReader.Close()
					return InvalidUniqueID, InvalidUniqueID, InvalidUniqueID, err
				}
				totalLength += length
				binaryVectorFieldData.NumRows = append(binaryVectorFieldData.NumRows, int64(length))
				binaryVectorFieldData.Dim = dim
				insertData.Data[fieldID] = binaryVectorFieldData

			case schemapb.DataType_FloatVector:
				var singleData []float32
				singleData, dim, err = eventReader.GetFloatVectorFromPayload()
				if err != nil {
					eventReader.Close()
					binlogReader.Close()
					return InvalidUniqueID, InvalidUniqueID, InvalidUniqueID, err
				}

				if insertData.Data[fieldID] == nil {
					insertData.Data[fieldID] = &FloatVectorFieldData{
						NumRows: make([]int64, 0),
						Data:    make([]float32, 0, rowNum*dim),
					}
				}
				floatVectorFieldData := insertData.Data[fieldID].(*FloatVectorFieldData)

				floatVectorFieldData.Data = append(floatVectorFieldData.Data, singleData...)
				length, err := eventReader.GetPayloadLengthFromReader()
				if err != nil {
					eventReader.Close()
					binlogReader.Close()
					return InvalidUniqueID, InvalidUniqueID, InvalidUniqueID, err
				}
				totalLength += length
				floatVectorFieldData.NumRows = append(floatVectorFieldData.NumRows, int64(length))
				floatVectorFieldData.Dim = dim
				insertData.Data[fieldID] = floatVectorFieldData

			default:
				eventReader.Close()
				binlogReader.Close()
				return InvalidUniqueID, InvalidUniqueID, InvalidUniqueID, fmt.Errorf("undefined data type %d", dataType)
			}
			eventReader.Close()
		}

		if rowNum <= 0 {
			rowNum = totalLength
		}

		if fieldID == common.TimeStampField {
			blobInfo := BlobInfo{
				Length: totalLength,
			}
			insertData.Infos = append(insertData.Infos, blobInfo)
		}
		binlogReader.Close()
	}

	return collectionID, partitionID, segmentID, nil
}

// Deserialize transfer blob back to insert data.
// From schema, it get all fields.
// For each field, it will create a binlog reader, and read all event to the buffer.
// It returns origin @InsertData in the end.
func (insertCodec *InsertCodec) Deserialize(blobs []*Blob) (partitionID UniqueID, segmentID UniqueID, data *InsertData, err error) {
	_, partitionID, segmentID, data, err = insertCodec.DeserializeAll(blobs)
	return partitionID, segmentID, data, err
}

type DeleteLog struct {
	Pk     PrimaryKey `json:"pk"`
	Ts     uint64     `json:"ts"`
	PkType int64      `json:"pkType"`
}

func NewDeleteLog(pk PrimaryKey, ts Timestamp) *DeleteLog {
	pkType := pk.Type()

	return &DeleteLog{
		Pk:     pk,
		Ts:     ts,
		PkType: int64(pkType),
	}
}

func (dl *DeleteLog) UnmarshalJSON(data []byte) error {
	var messageMap map[string]*json.RawMessage
	err := json.Unmarshal(data, &messageMap)
	if err != nil {
		return err
	}

	err = json.Unmarshal(*messageMap["pkType"], &dl.PkType)
	if err != nil {
		return err
	}

	switch schemapb.DataType(dl.PkType) {
	case schemapb.DataType_Int64:
		dl.Pk = &Int64PrimaryKey{}
	case schemapb.DataType_VarChar:
		dl.Pk = &VarCharPrimaryKey{}
	}

	err = json.Unmarshal(*messageMap["pk"], dl.Pk)
	if err != nil {
		return err
	}

	err = json.Unmarshal(*messageMap["ts"], &dl.Ts)
	if err != nil {
		return err
	}

	return nil
}

// DeleteData saves each entity delete message represented as <primarykey,timestamp> map.
// timestamp represents the time when this instance was deleted
type DeleteData struct {
	Pks      []PrimaryKey // primary keys
	Tss      []Timestamp  // timestamps
	RowCount int64
}

// Append append 1 pk&ts pair to DeleteData
func (data *DeleteData) Append(pk PrimaryKey, ts Timestamp) {
	data.Pks = append(data.Pks, pk)
	data.Tss = append(data.Tss, ts)
	data.RowCount++
}

// DeleteCodec serializes and deserializes the delete data
type DeleteCodec struct {
}

// NewDeleteCodec returns a DeleteCodec
func NewDeleteCodec() *DeleteCodec {
	return &DeleteCodec{}
}

// Serialize transfer delete data to blob. .
// For each delete message, it will save "pk,ts" string to binlog.
func (deleteCodec *DeleteCodec) Serialize(collectionID UniqueID, partitionID UniqueID, segmentID UniqueID, data *DeleteData) (*Blob, error) {
	binlogWriter := NewDeleteBinlogWriter(schemapb.DataType_String, collectionID, partitionID, segmentID)
	eventWriter, err := binlogWriter.NextDeleteEventWriter()
	if err != nil {
		binlogWriter.Close()
		return nil, err
	}
	defer binlogWriter.Close()
	defer eventWriter.Close()
	if err != nil {
		return nil, err
	}
	length := len(data.Pks)
	if length != len(data.Tss) {
		return nil, fmt.Errorf("the length of pks, and TimeStamps is not equal")
	}

	sizeTotal := 0
	var startTs, endTs Timestamp
	startTs, endTs = math.MaxUint64, 0
	for i := 0; i < length; i++ {
		ts := data.Tss[i]
		if ts < startTs {
			startTs = ts
		}
		if ts > endTs {
			endTs = ts
		}

		deleteLog := NewDeleteLog(data.Pks[i], ts)
		serializedPayload, err := json.Marshal(deleteLog)
		if err != nil {
			return nil, err
		}
		err = eventWriter.AddOneStringToPayload(string(serializedPayload))
		if err != nil {
			return nil, err
		}
		sizeTotal += binary.Size(serializedPayload)
	}
	eventWriter.SetEventTimestamp(startTs, endTs)
	binlogWriter.SetEventTimeStamp(startTs, endTs)

	// https://github.com/milvus-io/milvus/issues/9620
	// It's a little complicated to count the memory size of a map.
	// See: https://stackoverflow.com/questions/31847549/computing-the-memory-footprint-or-byte-length-of-a-map
	// Since the implementation of golang map may differ from version, so we'd better not to use this magic method.
	binlogWriter.AddExtra(originalSizeKey, fmt.Sprintf("%v", sizeTotal))

	err = binlogWriter.Finish()
	if err != nil {
		return nil, err
	}
	buffer, err := binlogWriter.GetBuffer()
	if err != nil {
		return nil, err
	}
	blob := &Blob{
		Value: buffer,
	}
	return blob, nil
}

// Deserialize deserializes the deltalog blobs into DeleteData
func (deleteCodec *DeleteCodec) Deserialize(blobs []*Blob) (partitionID UniqueID, segmentID UniqueID, data *DeleteData, err error) {
	if len(blobs) == 0 {
		return InvalidUniqueID, InvalidUniqueID, nil, fmt.Errorf("blobs is empty")
	}

	var pid, sid UniqueID
	result := &DeleteData{}
	for _, blob := range blobs {
		binlogReader, err := NewBinlogReader(blob.Value)
		if err != nil {
			return InvalidUniqueID, InvalidUniqueID, nil, err
		}

		pid, sid = binlogReader.PartitionID, binlogReader.SegmentID
		eventReader, err := binlogReader.NextEventReader()
		if err != nil {
			binlogReader.Close()
			return InvalidUniqueID, InvalidUniqueID, nil, err
		}

		stringArray, err := eventReader.GetStringFromPayload()
		if err != nil {
			eventReader.Close()
			binlogReader.Close()
			return InvalidUniqueID, InvalidUniqueID, nil, err
		}
		for i := 0; i < len(stringArray); i++ {
			deleteLog := &DeleteLog{}
			if err = json.Unmarshal([]byte(stringArray[i]), deleteLog); err != nil {
				// compatible with versions that only support int64 type primary keys
				// compatible with fmt.Sprintf("%d,%d", pk, ts)
				// compatible error info (unmarshal err invalid character ',' after top-level value)
				splits := strings.Split(stringArray[i], ",")
				if len(splits) != 2 {
					eventReader.Close()
					binlogReader.Close()
					return InvalidUniqueID, InvalidUniqueID, nil, fmt.Errorf("the format of delta log is incorrect, %v can not be split", stringArray[i])
				}
				pk, err := strconv.ParseInt(splits[0], 10, 64)
				if err != nil {
					eventReader.Close()
					binlogReader.Close()
					return InvalidUniqueID, InvalidUniqueID, nil, err
				}
				deleteLog.Pk = &Int64PrimaryKey{
					Value: pk,
				}
				deleteLog.PkType = int64(schemapb.DataType_Int64)
				deleteLog.Ts, err = strconv.ParseUint(splits[1], 10, 64)
				if err != nil {
					eventReader.Close()
					binlogReader.Close()
					return InvalidUniqueID, InvalidUniqueID, nil, err
				}
			}

			result.Pks = append(result.Pks, deleteLog.Pk)
			result.Tss = append(result.Tss, deleteLog.Ts)
		}
		eventReader.Close()
		binlogReader.Close()

	}
	result.RowCount = int64(len(result.Pks))

	return pid, sid, result, nil
}

// DataDefinitionCodec serializes and deserializes the data definition
// Blob key example:
// ${tenant}/data_definition_log/${collection_id}/ts/${log_idx}
// ${tenant}/data_definition_log/${collection_id}/ddl/${log_idx}
type DataDefinitionCodec struct {
	collectionID int64
}

// NewDataDefinitionCodec is constructor for DataDefinitionCodec
func NewDataDefinitionCodec(collectionID int64) *DataDefinitionCodec {
	return &DataDefinitionCodec{collectionID: collectionID}
}

// Serialize transfer @ts and @ddRequsts to blob.
// From schema, it get all fields.
// For each field, it will create a binlog writer, and write specific event according
// to the dataDefinition type.
// It returns blobs in the end.
func (dataDefinitionCodec *DataDefinitionCodec) Serialize(ts []Timestamp, ddRequests []string, eventTypes []EventTypeCode) ([]*Blob, error) {
	writer := NewDDLBinlogWriter(schemapb.DataType_Int64, dataDefinitionCodec.collectionID)
	eventWriter, err := writer.NextCreateCollectionEventWriter()
	if err != nil {
		writer.Close()
		return nil, err
	}
	defer writer.Close()
	defer eventWriter.Close()

	var blobs []*Blob

	if err != nil {
		return nil, err
	}
	var int64Ts []int64
	for _, singleTs := range ts {
		int64Ts = append(int64Ts, int64(singleTs))
	}
	err = eventWriter.AddInt64ToPayload(int64Ts)
	if err != nil {
		return nil, err
	}
	eventWriter.SetEventTimestamp(ts[0], ts[len(ts)-1])
	writer.SetEventTimeStamp(ts[0], ts[len(ts)-1])

	// https://github.com/milvus-io/milvus/issues/9620
	writer.AddExtra(originalSizeKey, fmt.Sprintf("%v", binary.Size(int64Ts)))

	err = writer.Finish()

	if err != nil {
		return nil, err
	}
	buffer, err := writer.GetBuffer()
	if err != nil {
		return nil, err
	}
	blobs = append(blobs, &Blob{
		Key:   Ts,
		Value: buffer,
	})
	eventWriter.Close()
	writer.Close()

	writer = NewDDLBinlogWriter(schemapb.DataType_String, dataDefinitionCodec.collectionID)

	sizeTotal := 0
	for pos, req := range ddRequests {
		sizeTotal += len(req)
		switch eventTypes[pos] {
		case CreateCollectionEventType:
			eventWriter, err := writer.NextCreateCollectionEventWriter()
			if err != nil {
				return nil, err
			}
			err = eventWriter.AddOneStringToPayload(req)
			if err != nil {
				return nil, err
			}
			eventWriter.SetEventTimestamp(ts[pos], ts[pos])
		case DropCollectionEventType:
			eventWriter, err := writer.NextDropCollectionEventWriter()
			if err != nil {
				return nil, err
			}
			err = eventWriter.AddOneStringToPayload(req)
			if err != nil {
				return nil, err
			}
			eventWriter.SetEventTimestamp(ts[pos], ts[pos])
		case CreatePartitionEventType:
			eventWriter, err := writer.NextCreatePartitionEventWriter()
			if err != nil {
				return nil, err
			}
			err = eventWriter.AddOneStringToPayload(req)
			if err != nil {
				return nil, err
			}
			eventWriter.SetEventTimestamp(ts[pos], ts[pos])
		case DropPartitionEventType:
			eventWriter, err := writer.NextDropPartitionEventWriter()
			if err != nil {
				return nil, err
			}
			err = eventWriter.AddOneStringToPayload(req)
			if err != nil {
				return nil, err
			}
			eventWriter.SetEventTimestamp(ts[pos], ts[pos])
		}
	}
	writer.SetEventTimeStamp(ts[0], ts[len(ts)-1])

	// https://github.com/milvus-io/milvus/issues/9620
	writer.AddExtra(originalSizeKey, fmt.Sprintf("%v", sizeTotal))

	err = writer.Finish()
	if err != nil {
		return nil, err
	}
	buffer, err = writer.GetBuffer()
	if err != nil {
		return nil, err
	}
	blobs = append(blobs, &Blob{
		Key:   DDL,
		Value: buffer,
	})

	return blobs, nil
}

// Deserialize transfer blob back to data definition data.
// From schema, it get all fields.
// It will sort blob by blob key for blob logid is increasing by time.
// For each field, it will create a binlog reader, and read all event to the buffer.
// It returns origin @ts and @ddRequests in the end.
func (dataDefinitionCodec *DataDefinitionCodec) Deserialize(blobs []*Blob) (ts []Timestamp, ddRequests []string, err error) {
	if len(blobs) == 0 {
		return nil, nil, fmt.Errorf("blobs is empty")
	}
	var requestsStrings []string
	var resultTs []Timestamp

	var blobList BlobList = blobs
	sort.Sort(blobList)

	for _, blob := range blobList {
		binlogReader, err := NewBinlogReader(blob.Value)
		if err != nil {
			return nil, nil, err
		}
		dataType := binlogReader.PayloadDataType

		for {
			eventReader, err := binlogReader.NextEventReader()
			if err != nil {
				binlogReader.Close()
				return nil, nil, err
			}
			if eventReader == nil {
				break
			}
			switch dataType {
			case schemapb.DataType_Int64:
				int64Ts, err := eventReader.GetInt64FromPayload()
				if err != nil {
					eventReader.Close()
					binlogReader.Close()
					return nil, nil, err
				}
				for _, singleTs := range int64Ts {
					resultTs = append(resultTs, Timestamp(singleTs))
				}
			case schemapb.DataType_String:
				stringPayload, err := eventReader.GetStringFromPayload()
				if err != nil {
					eventReader.Close()
					binlogReader.Close()
					return nil, nil, err
				}
				for idx := range stringPayload {
					requestsStrings = append(requestsStrings, stringPayload[idx])
				}
			}
			eventReader.Close()
		}
		binlogReader.Close()

	}

	return resultTs, requestsStrings, nil
}