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chore: import upstream snapshot with attribution
2026-07-13 12:31:17 +08:00

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