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139 lines
4.2 KiB
Go
139 lines
4.2 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 compaction
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import (
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"context"
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"path"
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"time"
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"github.com/milvus-io/milvus/internal/storage"
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"github.com/milvus-io/milvus/pkg/v3/mlog"
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)
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// LoadBM25StatsFromPaths loads BM25 stats from resolved file paths grouped by field ID.
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func LoadBM25StatsFromPaths(ctx context.Context, chunkManager storage.ChunkManager, segmentID int64, pathsByField map[int64][]string) (map[int64]*storage.BM25Stats, error) {
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if len(pathsByField) == 0 {
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return nil, nil
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}
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startTs := time.Now()
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log := mlog.With(mlog.FieldSegmentID(segmentID))
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log.Info(ctx, "begin to reload history BM25 stats")
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fieldList := make([]int64, 0, len(pathsByField))
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fieldOffset := make([]int, 0, len(pathsByField))
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allPaths := make([]string, 0)
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for fieldID, paths := range pathsByField {
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fieldList = append(fieldList, fieldID)
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fieldOffset = append(fieldOffset, len(paths))
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allPaths = append(allPaths, paths...)
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}
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if len(allPaths) == 0 {
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log.Warn(ctx, "no BM25 stats to load")
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return nil, nil
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}
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values, err := chunkManager.MultiRead(ctx, allPaths)
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if err != nil {
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log.Warn(ctx, "failed to load BM25 stats files", mlog.Err(err))
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return nil, err
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}
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result := make(map[int64]*storage.BM25Stats)
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cnt := 0
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for i, fieldID := range fieldList {
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for offset := 0; offset < fieldOffset[i]; offset++ {
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stats, ok := result[fieldID]
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if !ok {
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stats = storage.NewBM25Stats()
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result[fieldID] = stats
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}
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err := stats.Deserialize(values[cnt+offset])
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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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cnt += fieldOffset[i]
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}
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log.Info(ctx, "Successfully load BM25 stats", mlog.Any("time", time.Since(startTs)))
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return result, nil
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}
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// LoadStatsFromPaths loads bloom filter stats from resolved file paths.
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// It handles CompoundStatsType detection based on the last path component,
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// similar to LoadStats but accepts pre-resolved paths instead of FieldBinlog.
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func LoadStatsFromPaths(ctx context.Context, chunkManager storage.ChunkManager, segmentID int64, paths []string) ([]*storage.PkStatistics, error) {
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if len(paths) == 0 {
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return nil, nil
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}
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startTs := time.Now()
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log := mlog.With(mlog.FieldSegmentID(segmentID))
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log.Info(ctx, "begin to load bloom filter from paths", mlog.Int("pathCount", len(paths)))
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// Detect CompoundStatsType
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logType := storage.DefaultStatsType
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for _, p := range paths {
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_, logidx := path.Split(p)
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if logidx == storage.CompoundStatsType.LogIdx() {
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paths = []string{p}
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logType = storage.CompoundStatsType
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break
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}
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}
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values, err := chunkManager.MultiRead(ctx, paths)
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if err != nil {
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log.Warn(ctx, "failed to load bloom filter files", mlog.Err(err))
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return nil, err
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}
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blobs := make([]*storage.Blob, 0, len(values))
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for _, v := range values {
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blobs = append(blobs, &storage.Blob{Value: v})
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}
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var stats []*storage.PrimaryKeyStats
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if logType == storage.CompoundStatsType {
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stats, err = storage.DeserializeStatsList(blobs[0])
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} else {
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stats, err = storage.DeserializeStats(blobs)
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}
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if err != nil {
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log.Warn(ctx, "failed to deserialize bloom filter stats", mlog.Err(err))
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return nil, err
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}
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var size uint
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result := make([]*storage.PkStatistics, 0, len(stats))
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for _, stat := range stats {
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pkStat := &storage.PkStatistics{
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PkFilter: stat.BF,
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MinPK: stat.MinPk,
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MaxPK: stat.MaxPk,
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}
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size += stat.BF.Cap()
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result = append(result, pkStat)
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}
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log.Info(ctx, "Successfully load bloom filter from paths", mlog.Any("time", time.Since(startTs)), mlog.Uint("size", size))
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return result, nil
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}
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