/
columns.go
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/
columns.go
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// Copyright (C) 2019-2021 Zilliz. All rights reserved.
//
// Licensed 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 entity
import (
"encoding/binary"
"errors"
"math"
"github.com/milvus-io/milvus-sdk-go/v2/internal/proto/schema"
)
//go:generate go run gen/gen.go
// Column interface field type for column-based data frame
type Column interface {
Name() string
Type() FieldType
Len() int
FieldData() *schema.FieldData
AppendValue(interface{}) error
}
// Vector interface vector used int search
type Vector interface {
Dim() int
Serialize() []byte
}
// FloatVector float32 vector wrapper
type FloatVector []float32
// Dim returns vector dimension
func (fv FloatVector) Dim() int {
return len(fv)
}
// Serialize serialize vector into byte slice, used in search placeholder
// LittleEndian is used for convention
func (fv FloatVector) Serialize() []byte {
data := make([]byte, 0, 4*len(fv)) // float32 occupies 4 bytes
buf := make([]byte, 4)
for _, f := range fv {
binary.LittleEndian.PutUint32(buf, math.Float32bits(f))
data = append(data, buf...)
}
return data
}
// BinaryVector []byte vector wrapper
type BinaryVector []byte
// Dim return vector dimension, note that binary vector is bits count
func (bv BinaryVector) Dim() int {
return 8 * len(bv)
}
// Serialize just return bytes
func (bv BinaryVector) Serialize() []byte {
return bv
}
var errFieldDataTypeNotMatch = errors.New("FieldData type not matched")
// IDColumns converts schema.IDs to corresponding column
// currently Int64 / string may be in IDs
func IDColumns(idField *schema.IDs, begin, end int) (Column, error) {
var idColumn Column
if idField == nil {
return nil, errors.New("nil Ids from response")
}
switch field := idField.GetIdField().(type) {
case *schema.IDs_IntId:
if end >= 0 {
idColumn = NewColumnInt64("", field.IntId.GetData()[begin:end])
} else {
idColumn = NewColumnInt64("", field.IntId.GetData()[begin:])
}
case *schema.IDs_StrId:
if end >= 0 {
idColumn = NewColumnString("", field.StrId.GetData()[begin:end])
} else {
idColumn = NewColumnString("", field.StrId.GetData()[begin:])
}
default:
return nil, errors.New("unsupported id type")
}
return idColumn, nil
}
// FieldDataColumn converts schema.FieldData to Column, used int search result conversion logic
// begin, end specifies the start and end positions
func FieldDataColumn(fd *schema.FieldData, begin, end int) (Column, error) {
switch fd.GetType() {
case schema.DataType_Bool:
data, ok := fd.GetScalars().GetData().(*schema.ScalarField_BoolData)
if !ok {
return nil, errFieldDataTypeNotMatch
}
if end < 0 {
return NewColumnBool(fd.GetFieldName(), data.BoolData.GetData()[begin:]), nil
}
return NewColumnBool(fd.GetFieldName(), data.BoolData.GetData()[begin:end]), nil
case schema.DataType_Int8:
data, ok := fd.GetScalars().GetData().(*schema.ScalarField_IntData)
if !ok {
return nil, errFieldDataTypeNotMatch
}
values := make([]int8, 0, len(data.IntData.GetData()))
for _, v := range data.IntData.GetData() {
values = append(values, int8(v))
}
if end < 0 {
return NewColumnInt8(fd.GetFieldName(), values[begin:]), nil
}
return NewColumnInt8(fd.GetFieldName(), values[begin:end]), nil
case schema.DataType_Int16:
data, ok := fd.GetScalars().GetData().(*schema.ScalarField_IntData)
if !ok {
return nil, errFieldDataTypeNotMatch
}
values := make([]int16, 0, len(data.IntData.GetData()))
for _, v := range data.IntData.GetData() {
values = append(values, int16(v))
}
if end < 0 {
return NewColumnInt16(fd.GetFieldName(), values[begin:]), nil
}
return NewColumnInt16(fd.GetFieldName(), values[begin:end]), nil
case schema.DataType_Int32:
data, ok := fd.GetScalars().GetData().(*schema.ScalarField_IntData)
if !ok {
return nil, errFieldDataTypeNotMatch
}
if end < 0 {
return NewColumnInt32(fd.GetFieldName(), data.IntData.GetData()[begin:]), nil
}
return NewColumnInt32(fd.GetFieldName(), data.IntData.GetData()[begin:end]), nil
case schema.DataType_Int64:
data, ok := fd.GetScalars().GetData().(*schema.ScalarField_LongData)
if !ok {
return nil, errFieldDataTypeNotMatch
}
if end < 0 {
return NewColumnInt64(fd.GetFieldName(), data.LongData.GetData()[begin:]), nil
}
return NewColumnInt64(fd.GetFieldName(), data.LongData.GetData()[begin:end]), nil
case schema.DataType_Float:
data, ok := fd.GetScalars().GetData().(*schema.ScalarField_FloatData)
if !ok {
return nil, errFieldDataTypeNotMatch
}
if end < 0 {
return NewColumnFloat(fd.GetFieldName(), data.FloatData.GetData()[begin:]), nil
}
return NewColumnFloat(fd.GetFieldName(), data.FloatData.GetData()[begin:end]), nil
case schema.DataType_Double:
data, ok := fd.GetScalars().GetData().(*schema.ScalarField_DoubleData)
if !ok {
return nil, errFieldDataTypeNotMatch
}
if end < 0 {
return NewColumnDouble(fd.GetFieldName(), data.DoubleData.GetData()[begin:]), nil
}
return NewColumnDouble(fd.GetFieldName(), data.DoubleData.GetData()[begin:end]), nil
case schema.DataType_String:
data, ok := fd.GetScalars().GetData().(*schema.ScalarField_StringData)
if !ok {
return nil, errFieldDataTypeNotMatch
}
if end < 0 {
return NewColumnString(fd.GetFieldName(), data.StringData.GetData()[begin:]), nil
}
return NewColumnString(fd.GetFieldName(), data.StringData.GetData()[begin:end]), nil
default:
return nil, errors.New("unsupported data type")
}
}
// FieldDataColumn converts schema.FieldData to vector Column
func FieldDataVector(fd *schema.FieldData) (Column, error) {
switch fd.GetType() {
case schema.DataType_FloatVector:
vectors := fd.GetVectors()
data := vectors.GetFloatVector().GetData()
if data == nil {
return nil, errFieldDataTypeNotMatch
}
dim := int(vectors.GetDim())
vector := make([][]float32, 0, len(data)/dim) // shall not have remanunt
for i := 0; i < len(data)/dim; i++ {
v := make([]float32, dim)
copy(v, data[i*dim:(i+1)*dim])
vector = append(vector, v)
}
return NewColumnFloatVector(fd.GetFieldName(), dim, vector), nil
case schema.DataType_BinaryVector:
vectors := fd.GetVectors()
data := vectors.GetBinaryVector()
if data == nil {
return nil, errFieldDataTypeNotMatch
}
dim := int(vectors.GetDim())
blen := dim / 8
vector := make([][]byte, 0, len(data)/blen)
for i := 0; i < len(data)/blen; i++ {
v := make([]byte, blen)
copy(v, data[i*blen:(i+1)*blen])
vector = append(vector, v)
}
return NewColumnBinaryVector(fd.GetFieldName(), dim, vector), nil
default:
return nil, errors.New("unsupported data type")
}
}