mirror of
https://gitee.com/milvus-io/milvus.git
synced 2024-12-04 21:09:06 +08:00
156a0dd450
This PR implements a Parquet reader for import. issue: https://github.com/milvus-io/milvus/issues/28521 --------- Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
569 lines
15 KiB
Go
569 lines
15 KiB
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 parquet
|
|
|
|
import (
|
|
"context"
|
|
"encoding/json"
|
|
"fmt"
|
|
|
|
"github.com/apache/arrow/go/v12/arrow"
|
|
"github.com/apache/arrow/go/v12/arrow/array"
|
|
"github.com/apache/arrow/go/v12/parquet/pqarrow"
|
|
"github.com/samber/lo"
|
|
"golang.org/x/exp/constraints"
|
|
|
|
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
|
|
"github.com/milvus-io/milvus/pkg/util/merr"
|
|
"github.com/milvus-io/milvus/pkg/util/typeutil"
|
|
)
|
|
|
|
type FieldReader struct {
|
|
columnIndex int
|
|
columnReader *pqarrow.ColumnReader
|
|
|
|
dim int
|
|
field *schemapb.FieldSchema
|
|
}
|
|
|
|
func NewFieldReader(reader *pqarrow.FileReader, columnIndex int, field *schemapb.FieldSchema) (*FieldReader, error) {
|
|
columnReader, err := reader.GetColumn(context.Background(), columnIndex) // TODO: dyh, resolve context
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
var dim int64 = 1
|
|
if typeutil.IsVectorType(field.GetDataType()) {
|
|
dim, err = typeutil.GetDim(field)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
}
|
|
|
|
cr := &FieldReader{
|
|
columnIndex: columnIndex,
|
|
columnReader: columnReader,
|
|
dim: int(dim),
|
|
field: field,
|
|
}
|
|
return cr, nil
|
|
}
|
|
|
|
func (c *FieldReader) Next(count int64) (any, error) {
|
|
switch c.field.GetDataType() {
|
|
case schemapb.DataType_Bool:
|
|
return ReadBoolData(c, count)
|
|
case schemapb.DataType_Int8:
|
|
return ReadIntegerOrFloatData[int8](c, count)
|
|
case schemapb.DataType_Int16:
|
|
return ReadIntegerOrFloatData[int16](c, count)
|
|
case schemapb.DataType_Int32:
|
|
return ReadIntegerOrFloatData[int32](c, count)
|
|
case schemapb.DataType_Int64:
|
|
return ReadIntegerOrFloatData[int64](c, count)
|
|
case schemapb.DataType_Float:
|
|
data, err := ReadIntegerOrFloatData[float32](c, count)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
if data == nil {
|
|
return nil, nil
|
|
}
|
|
return data, typeutil.VerifyFloats32(data.([]float32))
|
|
case schemapb.DataType_Double:
|
|
data, err := ReadIntegerOrFloatData[float64](c, count)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
if data == nil {
|
|
return nil, nil
|
|
}
|
|
return data, typeutil.VerifyFloats64(data.([]float64))
|
|
case schemapb.DataType_VarChar, schemapb.DataType_String:
|
|
return ReadStringData(c, count)
|
|
case schemapb.DataType_JSON:
|
|
// JSON field read data from string array Parquet
|
|
data, err := ReadStringData(c, count)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
if data == nil {
|
|
return nil, nil
|
|
}
|
|
byteArr := make([][]byte, 0)
|
|
for _, str := range data.([]string) {
|
|
var dummy interface{}
|
|
err = json.Unmarshal([]byte(str), &dummy)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
byteArr = append(byteArr, []byte(str))
|
|
}
|
|
return byteArr, nil
|
|
case schemapb.DataType_BinaryVector:
|
|
return ReadBinaryData(c, count)
|
|
case schemapb.DataType_FloatVector:
|
|
arrayData, err := ReadIntegerOrFloatArrayData[float32](c, count)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
if arrayData == nil {
|
|
return nil, nil
|
|
}
|
|
vectors := lo.Flatten(arrayData.([][]float32))
|
|
return vectors, nil
|
|
case schemapb.DataType_Array:
|
|
data := make([]*schemapb.ScalarField, 0, count)
|
|
elementType := c.field.GetElementType()
|
|
switch elementType {
|
|
case schemapb.DataType_Bool:
|
|
boolArray, err := ReadBoolArrayData(c, count)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
if boolArray == nil {
|
|
return nil, nil
|
|
}
|
|
for _, elementArray := range boolArray.([][]bool) {
|
|
data = append(data, &schemapb.ScalarField{
|
|
Data: &schemapb.ScalarField_BoolData{
|
|
BoolData: &schemapb.BoolArray{
|
|
Data: elementArray,
|
|
},
|
|
},
|
|
})
|
|
}
|
|
|
|
case schemapb.DataType_Int8:
|
|
int8Array, err := ReadIntegerOrFloatArrayData[int32](c, count)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
if int8Array == nil {
|
|
return nil, nil
|
|
}
|
|
for _, elementArray := range int8Array.([][]int32) {
|
|
data = append(data, &schemapb.ScalarField{
|
|
Data: &schemapb.ScalarField_IntData{
|
|
IntData: &schemapb.IntArray{
|
|
Data: elementArray,
|
|
},
|
|
},
|
|
})
|
|
}
|
|
|
|
case schemapb.DataType_Int16:
|
|
int16Array, err := ReadIntegerOrFloatArrayData[int32](c, count)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
if int16Array == nil {
|
|
return nil, nil
|
|
}
|
|
for _, elementArray := range int16Array.([][]int32) {
|
|
data = append(data, &schemapb.ScalarField{
|
|
Data: &schemapb.ScalarField_IntData{
|
|
IntData: &schemapb.IntArray{
|
|
Data: elementArray,
|
|
},
|
|
},
|
|
})
|
|
}
|
|
|
|
case schemapb.DataType_Int32:
|
|
int32Array, err := ReadIntegerOrFloatArrayData[int32](c, count)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
if int32Array == nil {
|
|
return nil, nil
|
|
}
|
|
for _, elementArray := range int32Array.([][]int32) {
|
|
data = append(data, &schemapb.ScalarField{
|
|
Data: &schemapb.ScalarField_IntData{
|
|
IntData: &schemapb.IntArray{
|
|
Data: elementArray,
|
|
},
|
|
},
|
|
})
|
|
}
|
|
|
|
case schemapb.DataType_Int64:
|
|
int64Array, err := ReadIntegerOrFloatArrayData[int64](c, count)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
if int64Array == nil {
|
|
return nil, nil
|
|
}
|
|
for _, elementArray := range int64Array.([][]int64) {
|
|
data = append(data, &schemapb.ScalarField{
|
|
Data: &schemapb.ScalarField_LongData{
|
|
LongData: &schemapb.LongArray{
|
|
Data: elementArray,
|
|
},
|
|
},
|
|
})
|
|
}
|
|
|
|
case schemapb.DataType_Float:
|
|
float32Array, err := ReadIntegerOrFloatArrayData[float32](c, count)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
if float32Array == nil {
|
|
return nil, nil
|
|
}
|
|
for _, elementArray := range float32Array.([][]float32) {
|
|
data = append(data, &schemapb.ScalarField{
|
|
Data: &schemapb.ScalarField_FloatData{
|
|
FloatData: &schemapb.FloatArray{
|
|
Data: elementArray,
|
|
},
|
|
},
|
|
})
|
|
}
|
|
|
|
case schemapb.DataType_Double:
|
|
float64Array, err := ReadIntegerOrFloatArrayData[float64](c, count)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
if float64Array == nil {
|
|
return nil, nil
|
|
}
|
|
for _, elementArray := range float64Array.([][]float64) {
|
|
data = append(data, &schemapb.ScalarField{
|
|
Data: &schemapb.ScalarField_DoubleData{
|
|
DoubleData: &schemapb.DoubleArray{
|
|
Data: elementArray,
|
|
},
|
|
},
|
|
})
|
|
}
|
|
|
|
case schemapb.DataType_VarChar, schemapb.DataType_String:
|
|
stringArray, err := ReadStringArrayData(c, count)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
if stringArray == nil {
|
|
return nil, nil
|
|
}
|
|
for _, elementArray := range stringArray.([][]string) {
|
|
data = append(data, &schemapb.ScalarField{
|
|
Data: &schemapb.ScalarField_StringData{
|
|
StringData: &schemapb.StringArray{
|
|
Data: elementArray,
|
|
},
|
|
},
|
|
})
|
|
}
|
|
default:
|
|
return nil, merr.WrapErrImportFailed(fmt.Sprintf("unsupported data type '%s' for array field '%s'",
|
|
elementType.String(), c.field.GetName()))
|
|
}
|
|
return data, nil
|
|
default:
|
|
return nil, merr.WrapErrImportFailed(fmt.Sprintf("unsupported data type '%s' for field '%s'",
|
|
c.field.GetDataType().String(), c.field.GetName()))
|
|
}
|
|
}
|
|
|
|
func (c *FieldReader) Close() {}
|
|
|
|
func ReadBoolData(pcr *FieldReader, count int64) (any, error) {
|
|
chunked, err := pcr.columnReader.NextBatch(count)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
data := make([]bool, 0, count)
|
|
for _, chunk := range chunked.Chunks() {
|
|
dataNums := chunk.Data().Len()
|
|
chunkData := make([]bool, dataNums)
|
|
boolReader, ok := chunk.(*array.Boolean)
|
|
if !ok {
|
|
return nil, WrapTypeErr("bool", chunk.DataType().Name(), pcr.field)
|
|
}
|
|
for i := 0; i < dataNums; i++ {
|
|
chunkData[i] = boolReader.Value(i)
|
|
}
|
|
data = append(data, chunkData...)
|
|
}
|
|
if len(data) == 0 {
|
|
return nil, nil
|
|
}
|
|
return data, nil
|
|
}
|
|
|
|
func ReadIntegerOrFloatData[T constraints.Integer | constraints.Float](pcr *FieldReader, count int64) (any, error) {
|
|
chunked, err := pcr.columnReader.NextBatch(count)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
data := make([]T, 0, count)
|
|
for _, chunk := range chunked.Chunks() {
|
|
dataNums := chunk.Data().Len()
|
|
chunkData := make([]T, dataNums)
|
|
switch chunk.DataType().ID() {
|
|
case arrow.INT8:
|
|
int8Reader := chunk.(*array.Int8)
|
|
for i := 0; i < dataNums; i++ {
|
|
chunkData[i] = T(int8Reader.Value(i))
|
|
}
|
|
case arrow.INT16:
|
|
int16Reader := chunk.(*array.Int16)
|
|
for i := 0; i < dataNums; i++ {
|
|
chunkData[i] = T(int16Reader.Value(i))
|
|
}
|
|
case arrow.INT32:
|
|
int32Reader := chunk.(*array.Int32)
|
|
for i := 0; i < dataNums; i++ {
|
|
chunkData[i] = T(int32Reader.Value(i))
|
|
}
|
|
case arrow.INT64:
|
|
int64Reader := chunk.(*array.Int64)
|
|
for i := 0; i < dataNums; i++ {
|
|
chunkData[i] = T(int64Reader.Value(i))
|
|
}
|
|
case arrow.FLOAT32:
|
|
float32Reader := chunk.(*array.Float32)
|
|
for i := 0; i < dataNums; i++ {
|
|
chunkData[i] = T(float32Reader.Value(i))
|
|
}
|
|
case arrow.FLOAT64:
|
|
float64Reader := chunk.(*array.Float64)
|
|
for i := 0; i < dataNums; i++ {
|
|
chunkData[i] = T(float64Reader.Value(i))
|
|
}
|
|
default:
|
|
return nil, WrapTypeErr("integer|float", chunk.DataType().Name(), pcr.field)
|
|
}
|
|
data = append(data, chunkData...)
|
|
}
|
|
if len(data) == 0 {
|
|
return nil, nil
|
|
}
|
|
return data, nil
|
|
}
|
|
|
|
func ReadStringData(pcr *FieldReader, count int64) (any, error) {
|
|
chunked, err := pcr.columnReader.NextBatch(count)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
data := make([]string, 0, count)
|
|
for _, chunk := range chunked.Chunks() {
|
|
dataNums := chunk.Data().Len()
|
|
chunkData := make([]string, dataNums)
|
|
stringReader, ok := chunk.(*array.String)
|
|
if !ok {
|
|
return nil, WrapTypeErr("string", chunk.DataType().Name(), pcr.field)
|
|
}
|
|
for i := 0; i < dataNums; i++ {
|
|
chunkData[i] = stringReader.Value(i)
|
|
}
|
|
data = append(data, chunkData...)
|
|
}
|
|
if len(data) == 0 {
|
|
return nil, nil
|
|
}
|
|
return data, nil
|
|
}
|
|
|
|
func ReadBinaryData(pcr *FieldReader, count int64) (any, error) {
|
|
chunked, err := pcr.columnReader.NextBatch(count)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
data := make([]byte, 0, count)
|
|
for _, chunk := range chunked.Chunks() {
|
|
dataNums := chunk.Data().Len()
|
|
switch chunk.DataType().ID() {
|
|
case arrow.BINARY:
|
|
binaryReader := chunk.(*array.Binary)
|
|
for i := 0; i < dataNums; i++ {
|
|
data = append(data, binaryReader.Value(i)...)
|
|
}
|
|
case arrow.LIST:
|
|
listReader := chunk.(*array.List)
|
|
if !isRegularVector(listReader.Offsets(), pcr.dim, true) {
|
|
return nil, merr.WrapErrImportFailed("binary vector is irregular")
|
|
}
|
|
uint8Reader, ok := listReader.ListValues().(*array.Uint8)
|
|
if !ok {
|
|
return nil, WrapTypeErr("binary", listReader.ListValues().DataType().Name(), pcr.field)
|
|
}
|
|
for i := 0; i < uint8Reader.Len(); i++ {
|
|
data = append(data, uint8Reader.Value(i))
|
|
}
|
|
default:
|
|
return nil, WrapTypeErr("binary", chunk.DataType().Name(), pcr.field)
|
|
}
|
|
}
|
|
if len(data) == 0 {
|
|
return nil, nil
|
|
}
|
|
return data, nil
|
|
}
|
|
|
|
func isRegularVector(offsets []int32, dim int, isBinary bool) bool {
|
|
if len(offsets) < 1 {
|
|
return false
|
|
}
|
|
if isBinary {
|
|
dim = dim / 8
|
|
}
|
|
for i := 1; i < len(offsets); i++ {
|
|
if offsets[i]-offsets[i-1] != int32(dim) {
|
|
return false
|
|
}
|
|
}
|
|
return true
|
|
}
|
|
|
|
func ReadBoolArrayData(pcr *FieldReader, count int64) (any, error) {
|
|
chunked, err := pcr.columnReader.NextBatch(count)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
data := make([][]bool, 0, count)
|
|
for _, chunk := range chunked.Chunks() {
|
|
listReader, ok := chunk.(*array.List)
|
|
if !ok {
|
|
return nil, WrapTypeErr("list", chunk.DataType().Name(), pcr.field)
|
|
}
|
|
boolReader, ok := listReader.ListValues().(*array.Boolean)
|
|
if !ok {
|
|
return nil, WrapTypeErr("boolArray", chunk.DataType().Name(), pcr.field)
|
|
}
|
|
offsets := listReader.Offsets()
|
|
for i := 1; i < len(offsets); i++ {
|
|
start, end := offsets[i-1], offsets[i]
|
|
elementData := make([]bool, 0, end-start)
|
|
for j := start; j < end; j++ {
|
|
elementData = append(elementData, boolReader.Value(int(j)))
|
|
}
|
|
data = append(data, elementData)
|
|
}
|
|
}
|
|
if len(data) == 0 {
|
|
return nil, nil
|
|
}
|
|
return data, nil
|
|
}
|
|
|
|
func ReadIntegerOrFloatArrayData[T constraints.Integer | constraints.Float](pcr *FieldReader, count int64) (any, error) {
|
|
chunked, err := pcr.columnReader.NextBatch(count)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
data := make([][]T, 0, count)
|
|
|
|
getDataFunc := func(offsets []int32, getValue func(int) T) {
|
|
for i := 1; i < len(offsets); i++ {
|
|
start, end := offsets[i-1], offsets[i]
|
|
elementData := make([]T, 0, end-start)
|
|
for j := start; j < end; j++ {
|
|
elementData = append(elementData, getValue(int(j)))
|
|
}
|
|
data = append(data, elementData)
|
|
}
|
|
}
|
|
for _, chunk := range chunked.Chunks() {
|
|
listReader, ok := chunk.(*array.List)
|
|
if !ok {
|
|
return nil, WrapTypeErr("list", chunk.DataType().Name(), pcr.field)
|
|
}
|
|
offsets := listReader.Offsets()
|
|
if typeutil.IsVectorType(pcr.field.GetDataType()) &&
|
|
!isRegularVector(offsets, pcr.dim, pcr.field.GetDataType() == schemapb.DataType_BinaryVector) {
|
|
return nil, merr.WrapErrImportFailed("float vector is irregular")
|
|
}
|
|
valueReader := listReader.ListValues()
|
|
switch valueReader.DataType().ID() {
|
|
case arrow.INT8:
|
|
int8Reader := valueReader.(*array.Int8)
|
|
getDataFunc(offsets, func(i int) T {
|
|
return T(int8Reader.Value(i))
|
|
})
|
|
case arrow.INT16:
|
|
int16Reader := valueReader.(*array.Int16)
|
|
getDataFunc(offsets, func(i int) T {
|
|
return T(int16Reader.Value(i))
|
|
})
|
|
case arrow.INT32:
|
|
int32Reader := valueReader.(*array.Int32)
|
|
getDataFunc(offsets, func(i int) T {
|
|
return T(int32Reader.Value(i))
|
|
})
|
|
case arrow.INT64:
|
|
int64Reader := valueReader.(*array.Int64)
|
|
getDataFunc(offsets, func(i int) T {
|
|
return T(int64Reader.Value(i))
|
|
})
|
|
case arrow.FLOAT32:
|
|
float32Reader := valueReader.(*array.Float32)
|
|
getDataFunc(offsets, func(i int) T {
|
|
return T(float32Reader.Value(i))
|
|
})
|
|
case arrow.FLOAT64:
|
|
float64Reader := valueReader.(*array.Float64)
|
|
getDataFunc(offsets, func(i int) T {
|
|
return T(float64Reader.Value(i))
|
|
})
|
|
default:
|
|
return nil, WrapTypeErr("integerArray|floatArray", chunk.DataType().Name(), pcr.field)
|
|
}
|
|
}
|
|
if len(data) == 0 {
|
|
return nil, nil
|
|
}
|
|
return data, nil
|
|
}
|
|
|
|
func ReadStringArrayData(pcr *FieldReader, count int64) (any, error) {
|
|
chunked, err := pcr.columnReader.NextBatch(count)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
data := make([][]string, 0, count)
|
|
for _, chunk := range chunked.Chunks() {
|
|
listReader, ok := chunk.(*array.List)
|
|
if !ok {
|
|
return nil, WrapTypeErr("list", chunk.DataType().Name(), pcr.field)
|
|
}
|
|
stringReader, ok := listReader.ListValues().(*array.String)
|
|
if !ok {
|
|
return nil, WrapTypeErr("stringArray", chunk.DataType().Name(), pcr.field)
|
|
}
|
|
offsets := listReader.Offsets()
|
|
for i := 1; i < len(offsets); i++ {
|
|
start, end := offsets[i-1], offsets[i]
|
|
elementData := make([]string, 0, end-start)
|
|
for j := start; j < end; j++ {
|
|
elementData = append(elementData, stringReader.Value(int(j)))
|
|
}
|
|
data = append(data, elementData)
|
|
}
|
|
}
|
|
if len(data) == 0 {
|
|
return nil, nil
|
|
}
|
|
return data, nil
|
|
}
|