mirror of
https://gitee.com/milvus-io/milvus.git
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c5918290e6
This PR introduces novel importv2 roles for datanode: 1. Executor: To execute tasks, a import task will be divided into the following steps: read data -> hash data -> sync data; 2. Manager: To manage all the tasks; issue: https://github.com/milvus-io/milvus/issues/28521 --------- Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
120 lines
3.2 KiB
Go
120 lines
3.2 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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"io"
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"github.com/apache/arrow/go/v12/arrow/memory"
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"github.com/apache/arrow/go/v12/parquet"
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"github.com/apache/arrow/go/v12/parquet/file"
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"github.com/apache/arrow/go/v12/parquet/pqarrow"
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"go.uber.org/zap"
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"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
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"github.com/milvus-io/milvus/internal/storage"
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"github.com/milvus-io/milvus/pkg/log"
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"github.com/milvus-io/milvus/pkg/util/merr"
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)
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type Reader struct {
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reader *file.Reader
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bufferSize int
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count int64
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schema *schemapb.CollectionSchema
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frs map[int64]*FieldReader // fieldID -> FieldReader
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}
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func NewReader(ctx context.Context, schema *schemapb.CollectionSchema, cmReader storage.FileReader, bufferSize int) (*Reader, error) {
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reader, err := file.NewParquetReader(cmReader, file.WithReadProps(&parquet.ReaderProperties{
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BufferSize: int64(bufferSize),
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BufferedStreamEnabled: true,
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}))
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if err != nil {
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return nil, merr.WrapErrImportFailed(fmt.Sprintf("new parquet reader failed, err=%v", err))
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}
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log.Info("create parquet reader done", zap.Int("row group num", reader.NumRowGroups()),
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zap.Int64("num rows", reader.NumRows()))
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fileReader, err := pqarrow.NewFileReader(reader, pqarrow.ArrowReadProperties{}, memory.DefaultAllocator)
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if err != nil {
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return nil, merr.WrapErrImportFailed(fmt.Sprintf("new parquet file reader failed, err=%v", err))
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}
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crs, err := CreateFieldReaders(ctx, fileReader, schema)
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if err != nil {
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return nil, err
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}
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count, err := estimateReadCountPerBatch(bufferSize, schema)
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if err != nil {
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return nil, err
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}
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return &Reader{
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reader: reader,
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bufferSize: bufferSize,
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count: count,
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schema: schema,
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frs: crs,
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}, nil
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}
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func (r *Reader) Read() (*storage.InsertData, error) {
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insertData, err := storage.NewInsertData(r.schema)
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if err != nil {
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return nil, err
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}
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OUTER:
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for {
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for fieldID, cr := range r.frs {
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data, err := cr.Next(r.count)
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if err != nil {
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return nil, err
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}
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if data == nil {
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break OUTER
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}
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err = insertData.Data[fieldID].AppendRows(data)
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if err != nil {
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return nil, err
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}
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}
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if insertData.GetMemorySize() >= r.bufferSize {
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break
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}
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}
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for fieldID := range r.frs {
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if insertData.Data[fieldID].RowNum() == 0 {
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return nil, io.EOF
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}
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}
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return insertData, nil
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}
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func (r *Reader) Close() {
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for _, cr := range r.frs {
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cr.Close()
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}
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err := r.reader.Close()
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if err != nil {
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log.Warn("close parquet reader failed", zap.Error(err))
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}
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}
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