milvus/internal/storage/insert_data.go

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// 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"
"fmt"
"google.golang.org/protobuf/proto"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github.com/milvus-io/milvus/pkg/common"
"github.com/milvus-io/milvus/pkg/util/merr"
"github.com/milvus-io/milvus/pkg/util/typeutil"
)
// 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>}
//
// system filed id:
// 0: unique row id
// 1: timestamp
// 100: first user field id
// 101: second user field id
// 102: ...
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
}
func NewInsertData(schema *schemapb.CollectionSchema) (*InsertData, error) {
return NewInsertDataWithCap(schema, 0)
}
func NewInsertDataWithCap(schema *schemapb.CollectionSchema, cap int) (*InsertData, error) {
if schema == nil {
return nil, merr.WrapErrParameterMissing("collection schema")
}
idata := &InsertData{
Data: make(map[FieldID]FieldData),
}
for _, field := range schema.Fields {
if field.IsPrimaryKey && field.GetNullable() {
return nil, merr.WrapErrParameterInvalidMsg("primary key field not support nullable")
}
if field.IsPartitionKey && field.GetNullable() {
return nil, merr.WrapErrParameterInvalidMsg("partition key field not support nullable")
}
fieldData, err := NewFieldData(field.DataType, field, cap)
if err != nil {
return nil, err
}
idata.Data[field.FieldID] = fieldData
}
return idata, nil
}
func (iData *InsertData) IsEmpty() bool {
if iData == nil {
return true
}
timeFieldData, ok := iData.Data[common.TimeStampField]
return (!ok) || (timeFieldData.RowNum() <= 0)
}
func (i *InsertData) GetRowNum() int {
if i == nil || i.Data == nil || len(i.Data) == 0 {
return 0
}
var rowNum int
for _, data := range i.Data {
rowNum = data.RowNum()
if rowNum > 0 {
break
}
}
return rowNum
}
func (i *InsertData) GetMemorySize() int {
var size int
if i.Data == nil || len(i.Data) == 0 {
return size
}
for _, data := range i.Data {
size += data.GetMemorySize()
}
return size
}
func (i *InsertData) Append(row map[FieldID]interface{}) error {
for fID, v := range row {
field, ok := i.Data[fID]
if !ok {
return fmt.Errorf("Missing field when appending row, got %d", fID)
}
if err := field.AppendRow(v); err != nil {
return merr.WrapErrParameterInvalidMsg(fmt.Sprintf("append data for field %d failed, err=%s", fID, err.Error()))
}
}
return nil
}
func (i *InsertData) GetRow(idx int) map[FieldID]interface{} {
res := make(map[FieldID]interface{})
for field, data := range i.Data {
res[field] = data.GetRow(idx)
}
return res
}
func (i *InsertData) GetRowSize(idx int) int {
size := 0
for _, data := range i.Data {
size += data.GetRowSize(idx)
}
return size
}
// FieldData defines field data interface
type FieldData interface {
GetMemorySize() int
RowNum() int
GetRow(i int) any
GetRowSize(i int) int
GetDataRows() any
// GetValidDataRows() any
AppendRow(row interface{}) error
AppendRows(dataRows interface{}, validDataRows interface{}) error
AppendDataRows(rows interface{}) error
AppendValidDataRows(rows interface{}) error
feat: support inverted index (#28783) issue: https://github.com/milvus-io/milvus/issues/27704 Add inverted index for some data types in Milvus. This index type can save a lot of memory compared to loading all data into RAM and speed up the term query and range query. Supported: `INT8`, `INT16`, `INT32`, `INT64`, `FLOAT`, `DOUBLE`, `BOOL` and `VARCHAR`. Not supported: `ARRAY` and `JSON`. Note: - The inverted index for `VARCHAR` is not designed to serve full-text search now. We will treat every row as a whole keyword instead of tokenizing it into multiple terms. - The inverted index don't support retrieval well, so if you create inverted index for field, those operations which depend on the raw data will fallback to use chunk storage, which will bring some performance loss. For example, comparisons between two columns and retrieval of output fields. The inverted index is very easy to be used. Taking below collection as an example: ```python fields = [ FieldSchema(name="pk", dtype=DataType.VARCHAR, is_primary=True, auto_id=False, max_length=100), FieldSchema(name="int8", dtype=DataType.INT8), FieldSchema(name="int16", dtype=DataType.INT16), FieldSchema(name="int32", dtype=DataType.INT32), FieldSchema(name="int64", dtype=DataType.INT64), FieldSchema(name="float", dtype=DataType.FLOAT), FieldSchema(name="double", dtype=DataType.DOUBLE), FieldSchema(name="bool", dtype=DataType.BOOL), FieldSchema(name="varchar", dtype=DataType.VARCHAR, max_length=1000), FieldSchema(name="random", dtype=DataType.DOUBLE), FieldSchema(name="embeddings", dtype=DataType.FLOAT_VECTOR, dim=dim), ] schema = CollectionSchema(fields) collection = Collection("demo", schema) ``` Then we can simply create inverted index for field via: ```python index_type = "INVERTED" collection.create_index("int8", {"index_type": index_type}) collection.create_index("int16", {"index_type": index_type}) collection.create_index("int32", {"index_type": index_type}) collection.create_index("int64", {"index_type": index_type}) collection.create_index("float", {"index_type": index_type}) collection.create_index("double", {"index_type": index_type}) collection.create_index("bool", {"index_type": index_type}) collection.create_index("varchar", {"index_type": index_type}) ``` Then, term query and range query on the field can be speed up automatically by the inverted index: ```python result = collection.query(expr='int64 in [1, 2, 3]', output_fields=["pk"]) result = collection.query(expr='int64 < 5', output_fields=["pk"]) result = collection.query(expr='int64 > 2997', output_fields=["pk"]) result = collection.query(expr='1 < int64 < 5', output_fields=["pk"]) ``` --------- Signed-off-by: longjiquan <jiquan.long@zilliz.com>
2023-12-31 19:50:47 +08:00
GetDataType() schemapb.DataType
GetNullable() bool
}
func NewFieldData(dataType schemapb.DataType, fieldSchema *schemapb.FieldSchema, cap int) (FieldData, error) {
typeParams := fieldSchema.GetTypeParams()
switch dataType {
case schemapb.DataType_Float16Vector:
if fieldSchema.GetNullable() {
return nil, merr.WrapErrParameterInvalidMsg("vector not support null")
}
dim, err := GetDimFromParams(typeParams)
if err != nil {
return nil, err
}
return &Float16VectorFieldData{
Data: make([]byte, 0, cap),
Dim: dim,
}, nil
case schemapb.DataType_BFloat16Vector:
if fieldSchema.GetNullable() {
return nil, merr.WrapErrParameterInvalidMsg("vector not support null")
}
dim, err := GetDimFromParams(typeParams)
if err != nil {
return nil, err
}
return &BFloat16VectorFieldData{
Data: make([]byte, 0, cap),
Dim: dim,
}, nil
case schemapb.DataType_FloatVector:
if fieldSchema.GetNullable() {
return nil, merr.WrapErrParameterInvalidMsg("vector not support null")
}
dim, err := GetDimFromParams(typeParams)
if err != nil {
return nil, err
}
return &FloatVectorFieldData{
Data: make([]float32, 0, cap),
Dim: dim,
}, nil
case schemapb.DataType_BinaryVector:
if fieldSchema.GetNullable() {
return nil, merr.WrapErrParameterInvalidMsg("vector not support null")
}
dim, err := GetDimFromParams(typeParams)
if err != nil {
return nil, err
}
return &BinaryVectorFieldData{
Data: make([]byte, 0, cap),
Dim: dim,
}, nil
case schemapb.DataType_SparseFloatVector:
if fieldSchema.GetNullable() {
return nil, merr.WrapErrParameterInvalidMsg("vector not support null")
}
return &SparseFloatVectorFieldData{}, nil
case schemapb.DataType_Bool:
data := &BoolFieldData{
Data: make([]bool, 0, cap),
Nullable: fieldSchema.GetNullable(),
}
if fieldSchema.GetNullable() {
data.ValidData = make([]bool, 0, cap)
}
return data, nil
case schemapb.DataType_Int8:
data := &Int8FieldData{
Data: make([]int8, 0, cap),
Nullable: fieldSchema.GetNullable(),
}
if fieldSchema.GetNullable() {
data.ValidData = make([]bool, 0, cap)
}
return data, nil
case schemapb.DataType_Int16:
data := &Int16FieldData{
Data: make([]int16, 0, cap),
Nullable: fieldSchema.GetNullable(),
}
if fieldSchema.GetNullable() {
data.ValidData = make([]bool, 0, cap)
}
return data, nil
case schemapb.DataType_Int32:
data := &Int32FieldData{
Data: make([]int32, 0, cap),
Nullable: fieldSchema.GetNullable(),
}
if fieldSchema.GetNullable() {
data.ValidData = make([]bool, 0, cap)
}
return data, nil
case schemapb.DataType_Int64:
data := &Int64FieldData{
Data: make([]int64, 0, cap),
Nullable: fieldSchema.GetNullable(),
}
if fieldSchema.GetNullable() {
data.ValidData = make([]bool, 0, cap)
}
return data, nil
case schemapb.DataType_Float:
data := &FloatFieldData{
Data: make([]float32, 0, cap),
Nullable: fieldSchema.GetNullable(),
}
if fieldSchema.GetNullable() {
data.ValidData = make([]bool, 0, cap)
}
return data, nil
case schemapb.DataType_Double:
data := &DoubleFieldData{
Data: make([]float64, 0, cap),
Nullable: fieldSchema.GetNullable(),
}
if fieldSchema.GetNullable() {
data.ValidData = make([]bool, 0, cap)
}
return data, nil
case schemapb.DataType_JSON:
data := &JSONFieldData{
Data: make([][]byte, 0, cap),
Nullable: fieldSchema.GetNullable(),
}
if fieldSchema.GetNullable() {
data.ValidData = make([]bool, 0, cap)
}
return data, nil
case schemapb.DataType_Array:
data := &ArrayFieldData{
Data: make([]*schemapb.ScalarField, 0, cap),
ElementType: fieldSchema.GetElementType(),
Nullable: fieldSchema.GetNullable(),
}
if fieldSchema.GetNullable() {
data.ValidData = make([]bool, 0, cap)
}
return data, nil
case schemapb.DataType_String, schemapb.DataType_VarChar:
data := &StringFieldData{
Data: make([]string, 0, cap),
feat: support inverted index (#28783) issue: https://github.com/milvus-io/milvus/issues/27704 Add inverted index for some data types in Milvus. This index type can save a lot of memory compared to loading all data into RAM and speed up the term query and range query. Supported: `INT8`, `INT16`, `INT32`, `INT64`, `FLOAT`, `DOUBLE`, `BOOL` and `VARCHAR`. Not supported: `ARRAY` and `JSON`. Note: - The inverted index for `VARCHAR` is not designed to serve full-text search now. We will treat every row as a whole keyword instead of tokenizing it into multiple terms. - The inverted index don't support retrieval well, so if you create inverted index for field, those operations which depend on the raw data will fallback to use chunk storage, which will bring some performance loss. For example, comparisons between two columns and retrieval of output fields. The inverted index is very easy to be used. Taking below collection as an example: ```python fields = [ FieldSchema(name="pk", dtype=DataType.VARCHAR, is_primary=True, auto_id=False, max_length=100), FieldSchema(name="int8", dtype=DataType.INT8), FieldSchema(name="int16", dtype=DataType.INT16), FieldSchema(name="int32", dtype=DataType.INT32), FieldSchema(name="int64", dtype=DataType.INT64), FieldSchema(name="float", dtype=DataType.FLOAT), FieldSchema(name="double", dtype=DataType.DOUBLE), FieldSchema(name="bool", dtype=DataType.BOOL), FieldSchema(name="varchar", dtype=DataType.VARCHAR, max_length=1000), FieldSchema(name="random", dtype=DataType.DOUBLE), FieldSchema(name="embeddings", dtype=DataType.FLOAT_VECTOR, dim=dim), ] schema = CollectionSchema(fields) collection = Collection("demo", schema) ``` Then we can simply create inverted index for field via: ```python index_type = "INVERTED" collection.create_index("int8", {"index_type": index_type}) collection.create_index("int16", {"index_type": index_type}) collection.create_index("int32", {"index_type": index_type}) collection.create_index("int64", {"index_type": index_type}) collection.create_index("float", {"index_type": index_type}) collection.create_index("double", {"index_type": index_type}) collection.create_index("bool", {"index_type": index_type}) collection.create_index("varchar", {"index_type": index_type}) ``` Then, term query and range query on the field can be speed up automatically by the inverted index: ```python result = collection.query(expr='int64 in [1, 2, 3]', output_fields=["pk"]) result = collection.query(expr='int64 < 5', output_fields=["pk"]) result = collection.query(expr='int64 > 2997', output_fields=["pk"]) result = collection.query(expr='1 < int64 < 5', output_fields=["pk"]) ``` --------- Signed-off-by: longjiquan <jiquan.long@zilliz.com>
2023-12-31 19:50:47 +08:00
DataType: dataType,
Nullable: fieldSchema.GetNullable(),
}
if fieldSchema.GetNullable() {
data.ValidData = make([]bool, 0, cap)
}
return data, nil
default:
return nil, fmt.Errorf("Unexpected schema data type: %d", dataType)
}
}
type BoolFieldData struct {
Data []bool
ValidData []bool
Nullable bool
}
type Int8FieldData struct {
Data []int8
ValidData []bool
Nullable bool
}
type Int16FieldData struct {
Data []int16
ValidData []bool
Nullable bool
}
type Int32FieldData struct {
Data []int32
ValidData []bool
Nullable bool
}
type Int64FieldData struct {
Data []int64
ValidData []bool
Nullable bool
}
type FloatFieldData struct {
Data []float32
ValidData []bool
Nullable bool
}
type DoubleFieldData struct {
Data []float64
ValidData []bool
Nullable bool
}
type StringFieldData struct {
Data []string
DataType schemapb.DataType
ValidData []bool
Nullable bool
}
type ArrayFieldData struct {
ElementType schemapb.DataType
Data []*schemapb.ScalarField
ValidData []bool
Nullable bool
}
type JSONFieldData struct {
Data [][]byte
ValidData []bool
Nullable bool
}
type BinaryVectorFieldData struct {
Data []byte
Dim int
}
type FloatVectorFieldData struct {
Data []float32
Dim int
}
type Float16VectorFieldData struct {
Data []byte
Dim int
}
type BFloat16VectorFieldData struct {
Data []byte
Dim int
}
type SparseFloatVectorFieldData struct {
schemapb.SparseFloatArray
}
func (dst *SparseFloatVectorFieldData) AppendAllRows(src *SparseFloatVectorFieldData) {
if len(src.Contents) == 0 {
return
}
if dst.Dim < src.Dim {
dst.Dim = src.Dim
}
dst.Contents = append(dst.Contents, src.Contents...)
}
// 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 *ArrayFieldData) RowNum() int { return len(data.Data) }
func (data *JSONFieldData) 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 }
func (data *Float16VectorFieldData) RowNum() int { return len(data.Data) / 2 / data.Dim }
func (data *BFloat16VectorFieldData) RowNum() int {
return len(data.Data) / 2 / data.Dim
}
func (data *SparseFloatVectorFieldData) RowNum() int { return len(data.Contents) }
// GetRow implements FieldData.GetRow
func (data *BoolFieldData) GetRow(i int) any {
if data.GetNullable() && !data.ValidData[i] {
return nil
}
return data.Data[i]
}
func (data *Int8FieldData) GetRow(i int) any {
if data.GetNullable() && !data.ValidData[i] {
return nil
}
return data.Data[i]
}
func (data *Int16FieldData) GetRow(i int) any {
if data.GetNullable() && !data.ValidData[i] {
return nil
}
return data.Data[i]
}
func (data *Int32FieldData) GetRow(i int) any {
if data.GetNullable() && !data.ValidData[i] {
return nil
}
return data.Data[i]
}
func (data *Int64FieldData) GetRow(i int) any {
if data.GetNullable() && !data.ValidData[i] {
return nil
}
return data.Data[i]
}
func (data *FloatFieldData) GetRow(i int) any {
if data.GetNullable() && !data.ValidData[i] {
return nil
}
return data.Data[i]
}
func (data *DoubleFieldData) GetRow(i int) any {
if data.GetNullable() && !data.ValidData[i] {
return nil
}
return data.Data[i]
}
func (data *StringFieldData) GetRow(i int) any {
if data.GetNullable() && !data.ValidData[i] {
return nil
}
return data.Data[i]
}
func (data *ArrayFieldData) GetRow(i int) any {
if data.GetNullable() && !data.ValidData[i] {
return nil
}
return data.Data[i]
}
func (data *JSONFieldData) GetRow(i int) any {
if data.GetNullable() && !data.ValidData[i] {
return nil
}
return data.Data[i]
}
func (data *BinaryVectorFieldData) GetRow(i int) any {
return data.Data[i*data.Dim/8 : (i+1)*data.Dim/8]
}
func (data *SparseFloatVectorFieldData) GetRow(i int) interface{} {
return data.Contents[i]
}
func (data *FloatVectorFieldData) GetRow(i int) interface{} {
return data.Data[i*data.Dim : (i+1)*data.Dim]
}
func (data *Float16VectorFieldData) GetRow(i int) interface{} {
return data.Data[i*data.Dim*2 : (i+1)*data.Dim*2]
}
func (data *BFloat16VectorFieldData) GetRow(i int) interface{} {
return data.Data[i*data.Dim*2 : (i+1)*data.Dim*2]
}
func (data *BoolFieldData) GetDataRows() any { return data.Data }
func (data *Int8FieldData) GetDataRows() any { return data.Data }
func (data *Int16FieldData) GetDataRows() any { return data.Data }
func (data *Int32FieldData) GetDataRows() any { return data.Data }
func (data *Int64FieldData) GetDataRows() any { return data.Data }
func (data *FloatFieldData) GetDataRows() any { return data.Data }
func (data *DoubleFieldData) GetDataRows() any { return data.Data }
func (data *StringFieldData) GetDataRows() any { return data.Data }
func (data *ArrayFieldData) GetDataRows() any { return data.Data }
func (data *JSONFieldData) GetDataRows() any { return data.Data }
func (data *BinaryVectorFieldData) GetDataRows() any { return data.Data }
func (data *FloatVectorFieldData) GetDataRows() any { return data.Data }
func (data *Float16VectorFieldData) GetDataRows() any { return data.Data }
func (data *BFloat16VectorFieldData) GetDataRows() any { return data.Data }
func (data *SparseFloatVectorFieldData) GetDataRows() any { return data.Contents }
// AppendRow implements FieldData.AppendRow
func (data *BoolFieldData) AppendRow(row interface{}) error {
if data.GetNullable() && row == nil {
data.Data = append(data.Data, make([]bool, 1)...)
data.ValidData = append(data.ValidData, false)
return nil
}
v, ok := row.(bool)
if !ok {
return merr.WrapErrParameterInvalid("bool", row, "Wrong row type")
}
data.Data = append(data.Data, v)
if data.GetNullable() {
data.ValidData = append(data.ValidData, true)
}
return nil
}
func (data *Int8FieldData) AppendRow(row interface{}) error {
if data.GetNullable() && row == nil {
data.Data = append(data.Data, make([]int8, 1)...)
data.ValidData = append(data.ValidData, false)
return nil
}
v, ok := row.(int8)
if !ok {
return merr.WrapErrParameterInvalid("int8", row, "Wrong row type")
}
if data.GetNullable() {
data.ValidData = append(data.ValidData, true)
}
data.Data = append(data.Data, v)
return nil
}
func (data *Int16FieldData) AppendRow(row interface{}) error {
if data.GetNullable() && row == nil {
data.Data = append(data.Data, make([]int16, 1)...)
data.ValidData = append(data.ValidData, false)
return nil
}
v, ok := row.(int16)
if !ok {
return merr.WrapErrParameterInvalid("int16", row, "Wrong row type")
}
if data.GetNullable() {
data.ValidData = append(data.ValidData, true)
}
data.Data = append(data.Data, v)
return nil
}
func (data *Int32FieldData) AppendRow(row interface{}) error {
if data.GetNullable() && row == nil {
data.Data = append(data.Data, make([]int32, 1)...)
data.ValidData = append(data.ValidData, false)
return nil
}
v, ok := row.(int32)
if !ok {
return merr.WrapErrParameterInvalid("int32", row, "Wrong row type")
}
if data.GetNullable() {
data.ValidData = append(data.ValidData, true)
}
data.Data = append(data.Data, v)
return nil
}
func (data *Int64FieldData) AppendRow(row interface{}) error {
if data.GetNullable() && row == nil {
data.Data = append(data.Data, make([]int64, 1)...)
data.ValidData = append(data.ValidData, false)
return nil
}
v, ok := row.(int64)
if !ok {
return merr.WrapErrParameterInvalid("int64", row, "Wrong row type")
}
if data.GetNullable() {
data.ValidData = append(data.ValidData, true)
}
data.Data = append(data.Data, v)
return nil
}
func (data *FloatFieldData) AppendRow(row interface{}) error {
if data.GetNullable() && row == nil {
data.Data = append(data.Data, make([]float32, 1)...)
data.ValidData = append(data.ValidData, false)
return nil
}
v, ok := row.(float32)
if !ok {
return merr.WrapErrParameterInvalid("float32", row, "Wrong row type")
}
if data.GetNullable() {
data.ValidData = append(data.ValidData, true)
}
data.Data = append(data.Data, v)
return nil
}
func (data *DoubleFieldData) AppendRow(row interface{}) error {
if data.GetNullable() && row == nil {
data.Data = append(data.Data, make([]float64, 1)...)
data.ValidData = append(data.ValidData, false)
return nil
}
v, ok := row.(float64)
if !ok {
return merr.WrapErrParameterInvalid("float64", row, "Wrong row type")
}
if data.GetNullable() {
data.ValidData = append(data.ValidData, true)
}
data.Data = append(data.Data, v)
return nil
}
func (data *StringFieldData) AppendRow(row interface{}) error {
if data.GetNullable() && row == nil {
data.Data = append(data.Data, make([]string, 1)...)
data.ValidData = append(data.ValidData, false)
return nil
}
v, ok := row.(string)
if !ok {
return merr.WrapErrParameterInvalid("string", row, "Wrong row type")
}
if data.GetNullable() {
data.ValidData = append(data.ValidData, true)
}
data.Data = append(data.Data, v)
return nil
}
func (data *ArrayFieldData) AppendRow(row interface{}) error {
if data.GetNullable() && row == nil {
data.Data = append(data.Data, make([]*schemapb.ScalarField, 1)...)
data.ValidData = append(data.ValidData, false)
return nil
}
v, ok := row.(*schemapb.ScalarField)
if !ok {
return merr.WrapErrParameterInvalid("*schemapb.ScalarField", row, "Wrong row type")
}
if data.GetNullable() {
data.ValidData = append(data.ValidData, true)
}
data.Data = append(data.Data, v)
return nil
}
func (data *JSONFieldData) AppendRow(row interface{}) error {
if data.GetNullable() && row == nil {
data.Data = append(data.Data, make([][]byte, 1)...)
data.ValidData = append(data.ValidData, false)
return nil
}
v, ok := row.([]byte)
if !ok {
return merr.WrapErrParameterInvalid("[]byte", row, "Wrong row type")
}
if data.GetNullable() {
data.ValidData = append(data.ValidData, true)
}
data.Data = append(data.Data, v)
return nil
}
func (data *BinaryVectorFieldData) AppendRow(row interface{}) error {
v, ok := row.([]byte)
if !ok || len(v) != data.Dim/8 {
return merr.WrapErrParameterInvalid("[]byte", row, "Wrong row type")
}
data.Data = append(data.Data, v...)
return nil
}
func (data *FloatVectorFieldData) AppendRow(row interface{}) error {
v, ok := row.([]float32)
if !ok || len(v) != data.Dim {
return merr.WrapErrParameterInvalid("[]float32", row, "Wrong row type")
}
data.Data = append(data.Data, v...)
return nil
}
func (data *Float16VectorFieldData) AppendRow(row interface{}) error {
v, ok := row.([]byte)
if !ok || len(v) != data.Dim*2 {
return merr.WrapErrParameterInvalid("[]byte", row, "Wrong row type")
}
data.Data = append(data.Data, v...)
return nil
}
func (data *BFloat16VectorFieldData) AppendRow(row interface{}) error {
v, ok := row.([]byte)
if !ok || len(v) != data.Dim*2 {
return merr.WrapErrParameterInvalid("[]byte", row, "Wrong row type")
}
data.Data = append(data.Data, v...)
return nil
}
func (data *SparseFloatVectorFieldData) AppendRow(row interface{}) error {
v, ok := row.([]byte)
if !ok {
return merr.WrapErrParameterInvalid("SparseFloatVectorRowData", row, "Wrong row type")
}
if err := typeutil.ValidateSparseFloatRows(v); err != nil {
return err
}
rowDim := typeutil.SparseFloatRowDim(v)
if data.Dim < rowDim {
data.Dim = rowDim
}
data.Contents = append(data.Contents, v)
return nil
}
func (data *BoolFieldData) AppendRows(dataRows interface{}, validDataRows interface{}) error {
err := data.AppendDataRows(dataRows)
if err != nil {
return err
}
return data.AppendValidDataRows(validDataRows)
}
func (data *Int8FieldData) AppendRows(dataRows interface{}, validDataRows interface{}) error {
err := data.AppendDataRows(dataRows)
if err != nil {
return err
}
return data.AppendValidDataRows(validDataRows)
}
func (data *Int16FieldData) AppendRows(dataRows interface{}, validDataRows interface{}) error {
err := data.AppendDataRows(dataRows)
if err != nil {
return err
}
return data.AppendValidDataRows(validDataRows)
}
func (data *Int32FieldData) AppendRows(dataRows interface{}, validDataRows interface{}) error {
err := data.AppendDataRows(dataRows)
if err != nil {
return err
}
return data.AppendValidDataRows(validDataRows)
}
func (data *Int64FieldData) AppendRows(dataRows interface{}, validDataRows interface{}) error {
err := data.AppendDataRows(dataRows)
if err != nil {
return err
}
return data.AppendValidDataRows(validDataRows)
}
func (data *FloatFieldData) AppendRows(dataRows interface{}, validDataRows interface{}) error {
err := data.AppendDataRows(dataRows)
if err != nil {
return err
}
return data.AppendValidDataRows(validDataRows)
}
func (data *DoubleFieldData) AppendRows(dataRows interface{}, validDataRows interface{}) error {
err := data.AppendDataRows(dataRows)
if err != nil {
return err
}
return data.AppendValidDataRows(validDataRows)
}
func (data *StringFieldData) AppendRows(dataRows interface{}, validDataRows interface{}) error {
err := data.AppendDataRows(dataRows)
if err != nil {
return err
}
return data.AppendValidDataRows(validDataRows)
}
func (data *ArrayFieldData) AppendRows(dataRows interface{}, validDataRows interface{}) error {
err := data.AppendDataRows(dataRows)
if err != nil {
return err
}
return data.AppendValidDataRows(validDataRows)
}
func (data *JSONFieldData) AppendRows(dataRows interface{}, validDataRows interface{}) error {
err := data.AppendDataRows(dataRows)
if err != nil {
return err
}
return data.AppendValidDataRows(validDataRows)
}
// AppendDataRows appends FLATTEN vectors to field data.
func (data *BinaryVectorFieldData) AppendRows(dataRows interface{}, validDataRows interface{}) error {
err := data.AppendDataRows(dataRows)
if err != nil {
return err
}
return data.AppendValidDataRows(validDataRows)
}
// AppendDataRows appends FLATTEN vectors to field data.
func (data *FloatVectorFieldData) AppendRows(dataRows interface{}, validDataRows interface{}) error {
err := data.AppendDataRows(dataRows)
if err != nil {
return err
}
return data.AppendValidDataRows(validDataRows)
}
// AppendDataRows appends FLATTEN vectors to field data.
func (data *Float16VectorFieldData) AppendRows(dataRows interface{}, validDataRows interface{}) error {
err := data.AppendDataRows(dataRows)
if err != nil {
return err
}
return data.AppendValidDataRows(validDataRows)
}
// AppendDataRows appends FLATTEN vectors to field data.
func (data *BFloat16VectorFieldData) AppendRows(dataRows interface{}, validDataRows interface{}) error {
err := data.AppendDataRows(dataRows)
if err != nil {
return err
}
return data.AppendValidDataRows(validDataRows)
}
func (data *SparseFloatVectorFieldData) AppendRows(dataRows interface{}, validDataRows interface{}) error {
err := data.AppendDataRows(dataRows)
if err != nil {
return err
}
return data.AppendValidDataRows(validDataRows)
}
func (data *BoolFieldData) AppendDataRows(rows interface{}) error {
v, ok := rows.([]bool)
if !ok {
return merr.WrapErrParameterInvalid("[]bool", rows, "Wrong rows type")
}
data.Data = append(data.Data, v...)
return nil
}
func (data *Int8FieldData) AppendDataRows(rows interface{}) error {
v, ok := rows.([]int8)
if !ok {
return merr.WrapErrParameterInvalid("[]int8", rows, "Wrong rows type")
}
data.Data = append(data.Data, v...)
return nil
}
func (data *Int16FieldData) AppendDataRows(rows interface{}) error {
v, ok := rows.([]int16)
if !ok {
return merr.WrapErrParameterInvalid("[]int16", rows, "Wrong rows type")
}
data.Data = append(data.Data, v...)
return nil
}
func (data *Int32FieldData) AppendDataRows(rows interface{}) error {
v, ok := rows.([]int32)
if !ok {
return merr.WrapErrParameterInvalid("[]int32", rows, "Wrong rows type")
}
data.Data = append(data.Data, v...)
return nil
}
func (data *Int64FieldData) AppendDataRows(rows interface{}) error {
v, ok := rows.([]int64)
if !ok {
return merr.WrapErrParameterInvalid("[]int64", rows, "Wrong rows type")
}
data.Data = append(data.Data, v...)
return nil
}
func (data *FloatFieldData) AppendDataRows(rows interface{}) error {
v, ok := rows.([]float32)
if !ok {
return merr.WrapErrParameterInvalid("[]float32", rows, "Wrong rows type")
}
data.Data = append(data.Data, v...)
return nil
}
func (data *DoubleFieldData) AppendDataRows(rows interface{}) error {
v, ok := rows.([]float64)
if !ok {
return merr.WrapErrParameterInvalid("[]float64", rows, "Wrong rows type")
}
data.Data = append(data.Data, v...)
return nil
}
func (data *StringFieldData) AppendDataRows(rows interface{}) error {
v, ok := rows.([]string)
if !ok {
return merr.WrapErrParameterInvalid("[]string", rows, "Wrong rows type")
}
data.Data = append(data.Data, v...)
return nil
}
func (data *ArrayFieldData) AppendDataRows(rows interface{}) error {
v, ok := rows.([]*schemapb.ScalarField)
if !ok {
return merr.WrapErrParameterInvalid("[]*schemapb.ScalarField", rows, "Wrong rows type")
}
data.Data = append(data.Data, v...)
return nil
}
func (data *JSONFieldData) AppendDataRows(rows interface{}) error {
v, ok := rows.([][]byte)
if !ok {
return merr.WrapErrParameterInvalid("[][]byte", rows, "Wrong rows type")
}
data.Data = append(data.Data, v...)
return nil
}
// AppendDataRows appends FLATTEN vectors to field data.
func (data *BinaryVectorFieldData) AppendDataRows(rows interface{}) error {
v, ok := rows.([]byte)
if !ok {
return merr.WrapErrParameterInvalid("[]byte", rows, "Wrong rows type")
}
if len(v)%(data.Dim/8) != 0 {
return merr.WrapErrParameterInvalid(data.Dim/8, len(v), "Wrong vector size")
}
data.Data = append(data.Data, v...)
return nil
}
// AppendDataRows appends FLATTEN vectors to field data.
func (data *FloatVectorFieldData) AppendDataRows(rows interface{}) error {
v, ok := rows.([]float32)
if !ok {
return merr.WrapErrParameterInvalid("[]float32", rows, "Wrong rows type")
}
if len(v)%(data.Dim) != 0 {
return merr.WrapErrParameterInvalid(data.Dim, len(v), "Wrong vector size")
}
data.Data = append(data.Data, v...)
return nil
}
// AppendDataRows appends FLATTEN vectors to field data.
func (data *Float16VectorFieldData) AppendDataRows(rows interface{}) error {
v, ok := rows.([]byte)
if !ok {
return merr.WrapErrParameterInvalid("[]byte", rows, "Wrong rows type")
}
if len(v)%(data.Dim*2) != 0 {
return merr.WrapErrParameterInvalid(data.Dim*2, len(v), "Wrong vector size")
}
data.Data = append(data.Data, v...)
return nil
}
// AppendDataRows appends FLATTEN vectors to field data.
func (data *BFloat16VectorFieldData) AppendDataRows(rows interface{}) error {
v, ok := rows.([]byte)
if !ok {
return merr.WrapErrParameterInvalid("[]byte", rows, "Wrong rows type")
}
if len(v)%(data.Dim*2) != 0 {
return merr.WrapErrParameterInvalid(data.Dim*2, len(v), "Wrong vector size")
}
data.Data = append(data.Data, v...)
return nil
}
func (data *SparseFloatVectorFieldData) AppendDataRows(rows interface{}) error {
v, ok := rows.(*SparseFloatVectorFieldData)
if !ok {
return merr.WrapErrParameterInvalid("SparseFloatVectorFieldData", rows, "Wrong rows type")
}
data.Contents = append(data.SparseFloatArray.Contents, v.Contents...)
if data.Dim < v.Dim {
data.Dim = v.Dim
}
return nil
}
func (data *BoolFieldData) AppendValidDataRows(rows interface{}) error {
if rows == nil {
return nil
}
v, ok := rows.([]bool)
if !ok {
return merr.WrapErrParameterInvalid("[]bool", rows, "Wrong rows type")
}
data.ValidData = append(data.ValidData, v...)
return nil
}
func (data *Int8FieldData) AppendValidDataRows(rows interface{}) error {
if rows == nil {
return nil
}
v, ok := rows.([]bool)
if !ok {
return merr.WrapErrParameterInvalid("[]bool", rows, "Wrong rows type")
}
data.ValidData = append(data.ValidData, v...)
return nil
}
func (data *Int16FieldData) AppendValidDataRows(rows interface{}) error {
if rows == nil {
return nil
}
v, ok := rows.([]bool)
if !ok {
return merr.WrapErrParameterInvalid("[]bool", rows, "Wrong rows type")
}
data.ValidData = append(data.ValidData, v...)
return nil
}
func (data *Int32FieldData) AppendValidDataRows(rows interface{}) error {
if rows == nil {
return nil
}
v, ok := rows.([]bool)
if !ok {
return merr.WrapErrParameterInvalid("[]bool", rows, "Wrong rows type")
}
data.ValidData = append(data.ValidData, v...)
return nil
}
func (data *Int64FieldData) AppendValidDataRows(rows interface{}) error {
if rows == nil {
return nil
}
v, ok := rows.([]bool)
if !ok {
return merr.WrapErrParameterInvalid("[]bool", rows, "Wrong rows type")
}
data.ValidData = append(data.ValidData, v...)
return nil
}
func (data *FloatFieldData) AppendValidDataRows(rows interface{}) error {
if rows == nil {
return nil
}
v, ok := rows.([]bool)
if !ok {
return merr.WrapErrParameterInvalid("[]bool", rows, "Wrong rows type")
}
data.ValidData = append(data.ValidData, v...)
return nil
}
func (data *DoubleFieldData) AppendValidDataRows(rows interface{}) error {
if rows == nil {
return nil
}
v, ok := rows.([]bool)
if !ok {
return merr.WrapErrParameterInvalid("[]bool", rows, "Wrong rows type")
}
data.ValidData = append(data.ValidData, v...)
return nil
}
func (data *StringFieldData) AppendValidDataRows(rows interface{}) error {
if rows == nil {
return nil
}
v, ok := rows.([]bool)
if !ok {
return merr.WrapErrParameterInvalid("[]bool", rows, "Wrong rows type")
}
data.ValidData = append(data.ValidData, v...)
return nil
}
func (data *ArrayFieldData) AppendValidDataRows(rows interface{}) error {
if rows == nil {
return nil
}
v, ok := rows.([]bool)
if !ok {
return merr.WrapErrParameterInvalid("[]bool", rows, "Wrong rows type")
}
data.ValidData = append(data.ValidData, v...)
return nil
}
func (data *JSONFieldData) AppendValidDataRows(rows interface{}) error {
if rows == nil {
return nil
}
v, ok := rows.([]bool)
if !ok {
return merr.WrapErrParameterInvalid("[]bool", rows, "Wrong rows type")
}
data.ValidData = append(data.ValidData, v...)
return nil
}
// AppendValidDataRows appends FLATTEN vectors to field data.
func (data *BinaryVectorFieldData) AppendValidDataRows(rows interface{}) error {
if rows != nil {
return merr.WrapErrParameterInvalidMsg("not support Nullable in vector")
}
return nil
}
// AppendValidDataRows appends FLATTEN vectors to field data.
func (data *FloatVectorFieldData) AppendValidDataRows(rows interface{}) error {
if rows != nil {
return merr.WrapErrParameterInvalidMsg("not support Nullable in vector")
}
return nil
}
// AppendValidDataRows appends FLATTEN vectors to field data.
func (data *Float16VectorFieldData) AppendValidDataRows(rows interface{}) error {
if rows != nil {
return merr.WrapErrParameterInvalidMsg("not support Nullable in vector")
}
return nil
}
// AppendValidDataRows appends FLATTEN vectors to field data.
func (data *BFloat16VectorFieldData) AppendValidDataRows(rows interface{}) error {
if rows != nil {
return merr.WrapErrParameterInvalidMsg("not support Nullable in vector")
}
return nil
}
func (data *SparseFloatVectorFieldData) AppendValidDataRows(rows interface{}) error {
if rows != nil {
return merr.WrapErrParameterInvalidMsg("not support Nullable in vector")
}
return nil
}
// GetMemorySize implements FieldData.GetMemorySize
func (data *BoolFieldData) GetMemorySize() int {
return binary.Size(data.Data) + binary.Size(data.ValidData) + binary.Size(data.Nullable)
}
func (data *Int8FieldData) GetMemorySize() int {
return binary.Size(data.Data) + binary.Size(data.ValidData) + binary.Size(data.Nullable)
}
func (data *Int16FieldData) GetMemorySize() int {
return binary.Size(data.Data) + binary.Size(data.ValidData) + binary.Size(data.Nullable)
}
func (data *Int32FieldData) GetMemorySize() int {
return binary.Size(data.Data) + binary.Size(data.ValidData) + binary.Size(data.Nullable)
}
func (data *Int64FieldData) GetMemorySize() int {
return binary.Size(data.Data) + binary.Size(data.ValidData) + binary.Size(data.Nullable)
}
func (data *FloatFieldData) GetMemorySize() int {
return binary.Size(data.Data) + binary.Size(data.ValidData) + binary.Size(data.Nullable)
}
func (data *DoubleFieldData) GetMemorySize() int {
return binary.Size(data.Data) + binary.Size(data.ValidData) + binary.Size(data.Nullable)
}
func (data *BinaryVectorFieldData) GetMemorySize() int { return binary.Size(data.Data) + 4 }
func (data *FloatVectorFieldData) GetMemorySize() int { return binary.Size(data.Data) + 4 }
func (data *Float16VectorFieldData) GetMemorySize() int { return binary.Size(data.Data) + 4 }
func (data *BFloat16VectorFieldData) GetMemorySize() int { return binary.Size(data.Data) + 4 }
func (data *SparseFloatVectorFieldData) GetMemorySize() int {
// TODO(SPARSE): should this be the memory size of serialzied size?
return proto.Size(&data.SparseFloatArray)
}
feat: support inverted index (#28783) issue: https://github.com/milvus-io/milvus/issues/27704 Add inverted index for some data types in Milvus. This index type can save a lot of memory compared to loading all data into RAM and speed up the term query and range query. Supported: `INT8`, `INT16`, `INT32`, `INT64`, `FLOAT`, `DOUBLE`, `BOOL` and `VARCHAR`. Not supported: `ARRAY` and `JSON`. Note: - The inverted index for `VARCHAR` is not designed to serve full-text search now. We will treat every row as a whole keyword instead of tokenizing it into multiple terms. - The inverted index don't support retrieval well, so if you create inverted index for field, those operations which depend on the raw data will fallback to use chunk storage, which will bring some performance loss. For example, comparisons between two columns and retrieval of output fields. The inverted index is very easy to be used. Taking below collection as an example: ```python fields = [ FieldSchema(name="pk", dtype=DataType.VARCHAR, is_primary=True, auto_id=False, max_length=100), FieldSchema(name="int8", dtype=DataType.INT8), FieldSchema(name="int16", dtype=DataType.INT16), FieldSchema(name="int32", dtype=DataType.INT32), FieldSchema(name="int64", dtype=DataType.INT64), FieldSchema(name="float", dtype=DataType.FLOAT), FieldSchema(name="double", dtype=DataType.DOUBLE), FieldSchema(name="bool", dtype=DataType.BOOL), FieldSchema(name="varchar", dtype=DataType.VARCHAR, max_length=1000), FieldSchema(name="random", dtype=DataType.DOUBLE), FieldSchema(name="embeddings", dtype=DataType.FLOAT_VECTOR, dim=dim), ] schema = CollectionSchema(fields) collection = Collection("demo", schema) ``` Then we can simply create inverted index for field via: ```python index_type = "INVERTED" collection.create_index("int8", {"index_type": index_type}) collection.create_index("int16", {"index_type": index_type}) collection.create_index("int32", {"index_type": index_type}) collection.create_index("int64", {"index_type": index_type}) collection.create_index("float", {"index_type": index_type}) collection.create_index("double", {"index_type": index_type}) collection.create_index("bool", {"index_type": index_type}) collection.create_index("varchar", {"index_type": index_type}) ``` Then, term query and range query on the field can be speed up automatically by the inverted index: ```python result = collection.query(expr='int64 in [1, 2, 3]', output_fields=["pk"]) result = collection.query(expr='int64 < 5', output_fields=["pk"]) result = collection.query(expr='int64 > 2997', output_fields=["pk"]) result = collection.query(expr='1 < int64 < 5', output_fields=["pk"]) ``` --------- Signed-off-by: longjiquan <jiquan.long@zilliz.com>
2023-12-31 19:50:47 +08:00
// GetDataType implements FieldData.GetDataType
func (data *BoolFieldData) GetDataType() schemapb.DataType { return schemapb.DataType_Bool }
func (data *Int8FieldData) GetDataType() schemapb.DataType { return schemapb.DataType_Int8 }
func (data *Int16FieldData) GetDataType() schemapb.DataType { return schemapb.DataType_Int16 }
func (data *Int32FieldData) GetDataType() schemapb.DataType { return schemapb.DataType_Int32 }
func (data *Int64FieldData) GetDataType() schemapb.DataType { return schemapb.DataType_Int64 }
func (data *FloatFieldData) GetDataType() schemapb.DataType { return schemapb.DataType_Float }
func (data *DoubleFieldData) GetDataType() schemapb.DataType { return schemapb.DataType_Double }
func (data *StringFieldData) GetDataType() schemapb.DataType { return data.DataType }
func (data *ArrayFieldData) GetDataType() schemapb.DataType { return schemapb.DataType_Array }
func (data *JSONFieldData) GetDataType() schemapb.DataType { return schemapb.DataType_JSON }
func (data *BinaryVectorFieldData) GetDataType() schemapb.DataType {
return schemapb.DataType_BinaryVector
}
func (data *FloatVectorFieldData) GetDataType() schemapb.DataType {
return schemapb.DataType_FloatVector
}
func (data *Float16VectorFieldData) GetDataType() schemapb.DataType {
return schemapb.DataType_Float16Vector
}
func (data *BFloat16VectorFieldData) GetDataType() schemapb.DataType {
return schemapb.DataType_BFloat16Vector
}
func (data *SparseFloatVectorFieldData) GetDataType() schemapb.DataType {
return schemapb.DataType_SparseFloatVector
}
// 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.
func (data *StringFieldData) GetMemorySize() int {
var size int
for _, val := range data.Data {
size += len(val) + 16
}
return size + binary.Size(data.ValidData) + binary.Size(data.Nullable)
}
func (data *ArrayFieldData) GetMemorySize() int {
var size int
for _, val := range data.Data {
switch data.ElementType {
case schemapb.DataType_Bool:
size += binary.Size(val.GetBoolData().GetData())
case schemapb.DataType_Int8:
size += binary.Size(val.GetIntData().GetData()) / 4
case schemapb.DataType_Int16:
size += binary.Size(val.GetIntData().GetData()) / 2
case schemapb.DataType_Int32:
size += binary.Size(val.GetIntData().GetData())
case schemapb.DataType_Int64:
size += binary.Size(val.GetLongData().GetData())
case schemapb.DataType_Float:
size += binary.Size(val.GetFloatData().GetData())
case schemapb.DataType_Double:
size += binary.Size(val.GetDoubleData().GetData())
case schemapb.DataType_String, schemapb.DataType_VarChar:
size += (&StringFieldData{Data: val.GetStringData().GetData()}).GetMemorySize()
}
}
return size + binary.Size(data.ValidData) + binary.Size(data.Nullable)
}
func (data *JSONFieldData) GetMemorySize() int {
var size int
for _, val := range data.Data {
size += len(val) + 16
}
return size + binary.Size(data.ValidData) + binary.Size(data.Nullable)
}
func (data *BoolFieldData) GetRowSize(i int) int { return 1 }
func (data *Int8FieldData) GetRowSize(i int) int { return 1 }
func (data *Int16FieldData) GetRowSize(i int) int { return 2 }
func (data *Int32FieldData) GetRowSize(i int) int { return 4 }
func (data *Int64FieldData) GetRowSize(i int) int { return 8 }
func (data *FloatFieldData) GetRowSize(i int) int { return 4 }
func (data *DoubleFieldData) GetRowSize(i int) int { return 8 }
func (data *BinaryVectorFieldData) GetRowSize(i int) int { return data.Dim / 8 }
func (data *FloatVectorFieldData) GetRowSize(i int) int { return data.Dim * 4 }
func (data *Float16VectorFieldData) GetRowSize(i int) int { return data.Dim * 2 }
func (data *BFloat16VectorFieldData) GetRowSize(i int) int { return data.Dim * 2 }
func (data *StringFieldData) GetRowSize(i int) int { return len(data.Data[i]) + 16 }
func (data *JSONFieldData) GetRowSize(i int) int { return len(data.Data[i]) + 16 }
func (data *ArrayFieldData) GetRowSize(i int) int {
switch data.ElementType {
case schemapb.DataType_Bool:
return binary.Size(data.Data[i].GetBoolData().GetData())
case schemapb.DataType_Int8:
return binary.Size(data.Data[i].GetIntData().GetData()) / 4
case schemapb.DataType_Int16:
return binary.Size(data.Data[i].GetIntData().GetData()) / 2
case schemapb.DataType_Int32:
return binary.Size(data.Data[i].GetIntData().GetData())
case schemapb.DataType_Int64:
return binary.Size(data.Data[i].GetLongData().GetData())
case schemapb.DataType_Float:
return binary.Size(data.Data[i].GetFloatData().GetData())
case schemapb.DataType_Double:
return binary.Size(data.Data[i].GetDoubleData().GetData())
case schemapb.DataType_String, schemapb.DataType_VarChar:
return (&StringFieldData{Data: data.Data[i].GetStringData().GetData()}).GetMemorySize()
}
return 0
}
func (data *SparseFloatVectorFieldData) GetRowSize(i int) int {
return len(data.Contents[i])
}
func (data *BoolFieldData) GetNullable() bool {
return data.Nullable
}
func (data *Int8FieldData) GetNullable() bool {
return data.Nullable
}
func (data *Int16FieldData) GetNullable() bool {
return data.Nullable
}
func (data *Int32FieldData) GetNullable() bool {
return data.Nullable
}
func (data *Int64FieldData) GetNullable() bool {
return data.Nullable
}
func (data *FloatFieldData) GetNullable() bool {
return data.Nullable
}
func (data *DoubleFieldData) GetNullable() bool {
return data.Nullable
}
func (data *BFloat16VectorFieldData) GetNullable() bool {
return false
}
func (data *BinaryVectorFieldData) GetNullable() bool {
return false
}
func (data *FloatVectorFieldData) GetNullable() bool {
return false
}
func (data *SparseFloatVectorFieldData) GetNullable() bool {
return false
}
func (data *Float16VectorFieldData) GetNullable() bool {
return false
}
func (data *StringFieldData) GetNullable() bool {
return data.Nullable
}
func (data *ArrayFieldData) GetNullable() bool {
return data.Nullable
}
func (data *JSONFieldData) GetNullable() bool {
return data.Nullable
}