mirror of
https://gitee.com/milvus-io/milvus.git
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bcdbd1966e
Issue: #22837 Signed-off-by: Cai Yudong <yudong.cai@zilliz.com>
262 lines
8.0 KiB
Go
262 lines
8.0 KiB
Go
// Licensed to the LF AI & Data foundation under one
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// or more contributor license agreements. See the NOTICE file
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// distributed with this work for additional information
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// regarding copyright ownership. The ASF licenses this file
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// to you under the Apache License, Version 2.0 (the
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// "License"); you may not use this file except in compliance
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// with the License. You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package parquet
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import (
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"context"
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"fmt"
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"github.com/apache/arrow/go/v12/arrow"
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"github.com/apache/arrow/go/v12/parquet/pqarrow"
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"github.com/samber/lo"
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"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
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"github.com/milvus-io/milvus/pkg/util/merr"
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"github.com/milvus-io/milvus/pkg/util/typeutil"
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)
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func WrapTypeErr(expect string, actual string, field *schemapb.FieldSchema) error {
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return merr.WrapErrImportFailed(
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fmt.Sprintf("expect '%s' type for field '%s', but got '%s' type",
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expect, field.GetName(), actual))
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}
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func calcBufferSize(blockSize int, schema *schemapb.CollectionSchema) int {
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if len(schema.GetFields()) <= 0 {
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return blockSize
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}
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return blockSize / len(schema.GetFields())
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}
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func CreateFieldReaders(ctx context.Context, fileReader *pqarrow.FileReader, schema *schemapb.CollectionSchema) (map[int64]*FieldReader, error) {
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nameToField := lo.KeyBy(schema.GetFields(), func(field *schemapb.FieldSchema) string {
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return field.GetName()
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})
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pqSchema, err := fileReader.Schema()
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if err != nil {
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return nil, merr.WrapErrImportFailed(fmt.Sprintf("get parquet schema failed, err=%v", err))
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}
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err = isSchemaEqual(schema, pqSchema)
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if err != nil {
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return nil, merr.WrapErrImportFailed(fmt.Sprintf("schema not equal, err=%v", err))
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}
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crs := make(map[int64]*FieldReader)
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for i, pqField := range pqSchema.Fields() {
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field, ok := nameToField[pqField.Name]
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if !ok {
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// TODO @cai.zhang: handle dynamic field
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return nil, merr.WrapErrImportFailed(fmt.Sprintf("the field: %s is not in schema, "+
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"if it's a dynamic field, please reformat data by bulk_writer", pqField.Name))
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}
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if typeutil.IsAutoPKField(field) {
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return nil, merr.WrapErrImportFailed(
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fmt.Sprintf("the primary key '%s' is auto-generated, no need to provide", field.GetName()))
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}
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cr, err := NewFieldReader(ctx, fileReader, i, field)
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if err != nil {
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return nil, err
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}
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if _, ok = crs[field.GetFieldID()]; ok {
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return nil, merr.WrapErrImportFailed(
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fmt.Sprintf("there is multi field with name: %s", field.GetName()))
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}
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crs[field.GetFieldID()] = cr
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}
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for _, field := range nameToField {
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if typeutil.IsAutoPKField(field) || field.GetIsDynamic() {
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continue
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}
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if _, ok := crs[field.GetFieldID()]; !ok {
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return nil, merr.WrapErrImportFailed(
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fmt.Sprintf("no parquet field for milvus file '%s'", field.GetName()))
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}
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}
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return crs, nil
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}
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func isArrowIntegerType(dataType arrow.Type) bool {
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switch dataType {
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case arrow.INT8, arrow.INT16, arrow.INT32, arrow.INT64:
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return true
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default:
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return false
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}
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}
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func isArrowFloatingType(dataType arrow.Type) bool {
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switch dataType {
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case arrow.FLOAT32, arrow.FLOAT64:
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return true
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default:
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return false
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}
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}
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func isArrowArithmeticType(dataType arrow.Type) bool {
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return isArrowIntegerType(dataType) || isArrowFloatingType(dataType)
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}
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func isArrowDataTypeConvertible(src arrow.DataType, dst arrow.DataType) bool {
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srcType := src.ID()
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dstType := dst.ID()
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switch srcType {
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case arrow.BOOL:
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return dstType == arrow.BOOL
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case arrow.UINT8:
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return dstType == arrow.UINT8
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case arrow.INT8:
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return isArrowArithmeticType(dstType)
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case arrow.INT16:
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return isArrowArithmeticType(dstType) && dstType != arrow.INT8
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case arrow.INT32:
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return isArrowArithmeticType(dstType) && dstType != arrow.INT8 && dstType != arrow.INT16
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case arrow.INT64:
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return isArrowFloatingType(dstType) || dstType == arrow.INT64
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case arrow.FLOAT32:
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return isArrowFloatingType(dstType)
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case arrow.FLOAT64:
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// TODO caiyd: need do strict type check
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// return dstType == arrow.FLOAT64
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return isArrowFloatingType(dstType)
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case arrow.STRING:
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return dstType == arrow.STRING
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case arrow.BINARY:
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return dstType == arrow.LIST && dst.(*arrow.ListType).Elem().ID() == arrow.UINT8
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case arrow.LIST:
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return dstType == arrow.LIST && isArrowDataTypeConvertible(src.(*arrow.ListType).Elem(), dst.(*arrow.ListType).Elem())
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default:
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return false
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}
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}
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func convertToArrowDataType(field *schemapb.FieldSchema, isArray bool) (arrow.DataType, error) {
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dataType := field.GetDataType()
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if isArray {
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dataType = field.GetElementType()
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}
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switch dataType {
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case schemapb.DataType_Bool:
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return &arrow.BooleanType{}, nil
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case schemapb.DataType_Int8:
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return &arrow.Int8Type{}, nil
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case schemapb.DataType_Int16:
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return &arrow.Int16Type{}, nil
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case schemapb.DataType_Int32:
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return &arrow.Int32Type{}, nil
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case schemapb.DataType_Int64:
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return &arrow.Int64Type{}, nil
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case schemapb.DataType_Float:
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return &arrow.Float32Type{}, nil
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case schemapb.DataType_Double:
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return &arrow.Float64Type{}, nil
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case schemapb.DataType_VarChar, schemapb.DataType_String:
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return &arrow.StringType{}, nil
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case schemapb.DataType_JSON:
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return &arrow.StringType{}, nil
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case schemapb.DataType_Array:
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elemType, err := convertToArrowDataType(field, true)
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if err != nil {
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return nil, err
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}
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return arrow.ListOfField(arrow.Field{
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Name: "item",
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Type: elemType,
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Nullable: true,
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Metadata: arrow.Metadata{},
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}), nil
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case schemapb.DataType_BinaryVector, schemapb.DataType_Float16Vector, schemapb.DataType_BFloat16Vector, schemapb.DataType_SparseFloatVector:
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return arrow.ListOfField(arrow.Field{
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Name: "item",
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Type: &arrow.Uint8Type{},
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Nullable: true,
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Metadata: arrow.Metadata{},
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}), nil
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case schemapb.DataType_FloatVector:
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return arrow.ListOfField(arrow.Field{
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Name: "item",
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Type: &arrow.Float32Type{},
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Nullable: true,
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Metadata: arrow.Metadata{},
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}), nil
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default:
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return nil, merr.WrapErrParameterInvalidMsg("unsupported data type %v", dataType.String())
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}
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}
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func ConvertToArrowSchema(schema *schemapb.CollectionSchema) (*arrow.Schema, error) {
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arrFields := make([]arrow.Field, 0)
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for _, field := range schema.GetFields() {
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if typeutil.IsAutoPKField(field) {
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continue
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}
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arrDataType, err := convertToArrowDataType(field, false)
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if err != nil {
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return nil, err
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}
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arrFields = append(arrFields, arrow.Field{
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Name: field.GetName(),
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Type: arrDataType,
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Nullable: true,
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Metadata: arrow.Metadata{},
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})
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}
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return arrow.NewSchema(arrFields, nil), nil
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}
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func isSchemaEqual(schema *schemapb.CollectionSchema, arrSchema *arrow.Schema) error {
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arrNameToField := lo.KeyBy(arrSchema.Fields(), func(field arrow.Field) string {
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return field.Name
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})
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for _, field := range schema.GetFields() {
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if typeutil.IsAutoPKField(field) {
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continue
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}
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arrField, ok := arrNameToField[field.GetName()]
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if !ok {
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if field.GetIsDynamic() {
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continue
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}
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return merr.WrapErrImportFailed(fmt.Sprintf("field '%s' not in arrow schema", field.GetName()))
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}
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toArrDataType, err := convertToArrowDataType(field, false)
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if err != nil {
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return err
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}
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if !isArrowDataTypeConvertible(arrField.Type, toArrDataType) {
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return merr.WrapErrImportFailed(fmt.Sprintf("field '%s' type mis-match, milvus data type '%s', arrow data type get '%s'",
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field.Name, field.DataType.String(), arrField.Type.String()))
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}
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}
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return nil
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}
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func estimateReadCountPerBatch(bufferSize int, schema *schemapb.CollectionSchema) (int64, error) {
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sizePerRecord, err := typeutil.EstimateMaxSizePerRecord(schema)
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if err != nil {
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return 0, err
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}
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if 1000*sizePerRecord <= bufferSize {
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return 1000, nil
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}
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return int64(bufferSize) / int64(sizePerRecord), nil
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}
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