milvus/internal/querynodev2/segments/segment_loader.go
congqixia 4fe363c4b2
Add KNN cgo pool (#23526)
Signed-off-by: Congqi Xia <congqi.xia@zilliz.com>
2023-04-19 23:56:31 +08:00

912 lines
28 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 segments
import (
"context"
"fmt"
"path"
"runtime"
"runtime/debug"
"strconv"
"time"
"github.com/cockroachdb/errors"
ants "github.com/panjf2000/ants/v2"
"github.com/samber/lo"
"go.uber.org/zap"
"golang.org/x/sync/errgroup"
"github.com/milvus-io/milvus-proto/go-api/commonpb"
"github.com/milvus-io/milvus-proto/go-api/msgpb"
"github.com/milvus-io/milvus-proto/go-api/schemapb"
"github.com/milvus-io/milvus/internal/proto/datapb"
"github.com/milvus-io/milvus/internal/proto/querypb"
"github.com/milvus-io/milvus/internal/querynodev2/pkoracle"
"github.com/milvus-io/milvus/internal/storage"
"github.com/milvus-io/milvus/pkg/common"
"github.com/milvus-io/milvus/pkg/log"
"github.com/milvus-io/milvus/pkg/metrics"
"github.com/milvus-io/milvus/pkg/mq/msgstream"
"github.com/milvus-io/milvus/pkg/util/conc"
"github.com/milvus-io/milvus/pkg/util/funcutil"
"github.com/milvus-io/milvus/pkg/util/hardware"
"github.com/milvus-io/milvus/pkg/util/indexparamcheck"
"github.com/milvus-io/milvus/pkg/util/paramtable"
"github.com/milvus-io/milvus/pkg/util/timerecord"
. "github.com/milvus-io/milvus/pkg/util/typeutil"
)
const (
UsedDiskMemoryRatio = 4
)
var (
ErrReadDeltaMsgFailed = errors.New("ReadDeltaMsgFailed")
)
type Loader interface {
// Load loads binlogs, and spawn segments,
// NOTE: make sure the ref count of the corresponding collection will never go down to 0 during this
Load(ctx context.Context, collectionID int64, segmentType SegmentType, version int64, infos ...*querypb.SegmentLoadInfo) ([]Segment, error)
LoadDeltaLogs(ctx context.Context, segment *LocalSegment, deltaLogs []*datapb.FieldBinlog) error
// LoadRemote loads needed binlogs/statslog for RemoteSegment.
LoadBloomFilterSet(ctx context.Context, collectionID int64, version int64, infos ...*querypb.SegmentLoadInfo) ([]*pkoracle.BloomFilterSet, error)
}
func NewLoader(
manager CollectionManager,
cm storage.ChunkManager,
) *segmentLoader {
cpuNum := runtime.GOMAXPROCS(0)
ioPoolSize := cpuNum * 8
// make sure small machines could load faster
if ioPoolSize < 32 {
ioPoolSize = 32
}
// limit the number of concurrency
if ioPoolSize > 256 {
ioPoolSize = 256
}
if configPoolSize := paramtable.Get().QueryNodeCfg.IoPoolSize.GetAsInt(); configPoolSize > 0 {
ioPoolSize = configPoolSize
}
ioPool := conc.NewPool[*storage.Blob](ioPoolSize, ants.WithPreAlloc(true))
log.Info("SegmentLoader created", zap.Int("ioPoolSize", ioPoolSize))
loader := &segmentLoader{
manager: manager,
cm: cm,
ioPool: ioPool,
}
return loader
}
// segmentLoader is only responsible for loading the field data from binlog
type segmentLoader struct {
manager CollectionManager
cm storage.ChunkManager
ioPool *conc.Pool[*storage.Blob]
}
var _ Loader = (*segmentLoader)(nil)
func (loader *segmentLoader) getFieldType(segment *LocalSegment, fieldID int64) (schemapb.DataType, error) {
collection := loader.manager.Get(segment.collectionID)
if collection == nil {
return 0, WrapCollectionNotFound(segment.Collection())
}
for _, field := range collection.Schema().GetFields() {
if field.GetFieldID() == fieldID {
return field.GetDataType(), nil
}
}
return 0, WrapFieldNotFound(fieldID)
}
func (loader *segmentLoader) Load(ctx context.Context,
collectionID int64,
segmentType SegmentType,
version int64,
infos ...*querypb.SegmentLoadInfo,
) ([]Segment, error) {
log := log.Ctx(ctx).With(
zap.Int64("collectionID", collectionID),
zap.String("segmentType", segmentType.String()),
)
segmentNum := len(infos)
if segmentNum == 0 {
log.Info("no segment to load")
return nil, nil
}
log.Info("start loading...", zap.Int("segmentNum", segmentNum))
// Check memory limit
var (
concurrencyLevel = funcutil.Min(runtime.GOMAXPROCS(0), len(infos))
err error
)
for ; concurrencyLevel > 1; concurrencyLevel /= 2 {
err = loader.checkSegmentSize(collectionID, infos, concurrencyLevel)
if err == nil {
break
}
}
if err != nil {
log.Warn("load failed, OOM if loaded", zap.Error(err))
return nil, err
}
logNum := 0
for _, field := range infos[0].GetBinlogPaths() {
logNum += len(field.GetBinlogs())
}
if logNum > 0 {
// IO pool will be run out even with the new smaller level
concurrencyLevel = funcutil.Min(concurrencyLevel, loader.ioPool.Free()/logNum)
}
newSegments := make(map[UniqueID]*LocalSegment, len(infos))
clearAll := func() {
for _, s := range newSegments {
DeleteSegment(s)
}
debug.FreeOSMemory()
}
loadedSegments := NewConcurrentSet[*LocalSegment]()
for _, info := range infos {
segmentID := info.SegmentID
partitionID := info.PartitionID
collectionID := info.CollectionID
shard := info.InsertChannel
collection := loader.manager.Get(collectionID)
if collection == nil {
err := WrapCollectionNotFound(collectionID)
log.Warn("failed to get collection", zap.Error(err))
clearAll()
return nil, err
}
segment, err := NewSegment(collection, segmentID, partitionID, collectionID, shard, segmentType, version, info.GetStartPosition(), info.GetEndPosition())
if err != nil {
log.Error("load segment failed when create new segment",
zap.Int64("partitionID", partitionID),
zap.Int64("segmentID", segmentID),
zap.Error(err),
)
clearAll()
return nil, err
}
newSegments[segmentID] = segment
}
loadSegmentFunc := func(idx int) error {
loadInfo := infos[idx]
partitionID := loadInfo.PartitionID
segmentID := loadInfo.SegmentID
segment := newSegments[segmentID]
tr := timerecord.NewTimeRecorder("loadDurationPerSegment")
err := loader.loadSegment(ctx, segment, loadInfo)
if err != nil {
log.Error("load segment failed when load data into memory",
zap.Int64("partitionID", partitionID),
zap.Int64("segmentID", segmentID),
zap.Error(err),
)
return err
}
loadedSegments.Insert(segment)
metrics.QueryNodeLoadSegmentLatency.WithLabelValues(fmt.Sprint(paramtable.GetNodeID())).Observe(float64(tr.ElapseSpan().Milliseconds()))
return nil
}
// Start to load,
// Make sure we can always benefit from concurrency, and not spawn too many idle goroutines
log.Info("start to load segments in parallel",
zap.Int("segmentNum", segmentNum),
zap.Int("concurrencyLevel", concurrencyLevel))
err = funcutil.ProcessFuncParallel(segmentNum,
concurrencyLevel, loadSegmentFunc, "loadSegmentFunc")
if err != nil {
log.Warn("failed to load some segments", zap.Error(err))
}
loaded := loadedSegments.Collect()
if len(loaded) != len(newSegments) {
// Free the memory of segments which failed to load
for _, segment := range newSegments {
if !loadedSegments.Contain(segment) {
DeleteSegment(segment)
}
}
debug.FreeOSMemory()
loadedIDs := lo.Map(loaded, func(segment *LocalSegment, _ int) int64 {
return segment.ID()
})
log.Info("partial segments are loaded", zap.Int64s("loadedSegments", loadedIDs))
}
return lo.Map(loaded, func(segment *LocalSegment, _ int) Segment { return segment }), nil
}
func (loader *segmentLoader) LoadBloomFilterSet(ctx context.Context, collectionID int64, version int64, infos ...*querypb.SegmentLoadInfo) ([]*pkoracle.BloomFilterSet, error) {
log := log.Ctx(ctx).With(
zap.Int64("collectionID", collectionID),
zap.Int64s("segmentIDs", lo.Map(infos, func(info *querypb.SegmentLoadInfo, _ int) int64 {
return info.SegmentID
})),
)
segmentNum := len(infos)
if segmentNum == 0 {
log.Info("no segment to load")
return nil, nil
}
collection := loader.manager.Get(collectionID)
if collection == nil {
err := WrapCollectionNotFound(collectionID)
log.Warn("failed to get collection while loading segment", zap.Error(err))
return nil, err
}
pkField := GetPkField(collection.Schema())
log.Info("start loading remote...", zap.Int("segmentNum", segmentNum))
loadedBfs := NewConcurrentSet[*pkoracle.BloomFilterSet]()
// TODO check memory for bf size
loadRemoteFunc := func(idx int) error {
loadInfo := infos[idx]
partitionID := loadInfo.PartitionID
segmentID := loadInfo.SegmentID
bfs := pkoracle.NewBloomFilterSet(segmentID, partitionID, commonpb.SegmentState_Sealed)
log.Info("loading bloom filter for remote...")
pkStatsBinlogs := loader.filterPKStatsBinlogs(loadInfo.Statslogs, pkField.GetFieldID())
err := loader.loadBloomFilter(ctx, segmentID, bfs, pkStatsBinlogs)
if err != nil {
log.Warn("load remote segment bloom filter failed",
zap.Int64("partitionID", partitionID),
zap.Int64("segmentID", segmentID),
zap.Error(err),
)
return err
}
loadedBfs.Insert(bfs)
return nil
}
err := funcutil.ProcessFuncParallel(segmentNum, segmentNum, loadRemoteFunc, "loadRemoteFunc")
if err != nil {
// no partial success here
log.Warn("failed to load remote segment", zap.Error(err))
return nil, err
}
return loadedBfs.Collect(), nil
}
func (loader *segmentLoader) loadSegment(ctx context.Context,
segment *LocalSegment,
loadInfo *querypb.SegmentLoadInfo,
) error {
log := log.Ctx(ctx).With(
zap.Int64("collectionID", segment.Collection()),
zap.Int64("partitionID", segment.Partition()),
zap.String("shard", segment.Shard()),
zap.Int64("segmentID", segment.ID()),
)
log.Info("start loading segment files",
zap.Int64("rowNum", loadInfo.GetNumOfRows()),
zap.String("segmentType", segment.Type().String()))
collection := loader.manager.Get(segment.Collection())
if collection == nil {
err := WrapCollectionNotFound(segment.Collection())
log.Warn("failed to get collection while loading segment", zap.Error(err))
return err
}
pkField := GetPkField(collection.Schema())
// TODO(xige-16): Optimize the data loading process and reduce data copying
// for now, there will be multiple copies in the process of data loading into segCore
defer debug.FreeOSMemory()
if segment.Type() == SegmentTypeSealed {
fieldID2IndexInfo := make(map[int64]*querypb.FieldIndexInfo)
for _, indexInfo := range loadInfo.IndexInfos {
if len(indexInfo.IndexFilePaths) > 0 {
fieldID := indexInfo.FieldID
fieldID2IndexInfo[fieldID] = indexInfo
}
}
indexedFieldInfos := make(map[int64]*IndexedFieldInfo)
fieldBinlogs := make([]*datapb.FieldBinlog, 0, len(loadInfo.BinlogPaths))
for _, fieldBinlog := range loadInfo.BinlogPaths {
fieldID := fieldBinlog.FieldID
// check num rows of data meta and index meta are consistent
if indexInfo, ok := fieldID2IndexInfo[fieldID]; ok {
fieldInfo := &IndexedFieldInfo{
FieldBinlog: fieldBinlog,
IndexInfo: indexInfo,
}
indexedFieldInfos[fieldID] = fieldInfo
} else {
fieldBinlogs = append(fieldBinlogs, fieldBinlog)
}
}
log.Info("load fields...",
zap.Int64s("indexedFields", lo.Keys(indexedFieldInfos)),
)
if err := loader.loadFieldsIndex(ctx, segment, indexedFieldInfos); err != nil {
return err
}
if err := loader.loadSealedSegmentFields(ctx, segment, fieldBinlogs, loadInfo); err != nil {
return err
}
} else {
if err := loader.loadGrowingSegmentFields(ctx, segment, loadInfo.BinlogPaths); err != nil {
return err
}
}
// load statslog if it's growing segment
if segment.typ == SegmentTypeGrowing {
log.Info("loading statslog...")
pkStatsBinlogs := loader.filterPKStatsBinlogs(loadInfo.Statslogs, pkField.GetFieldID())
err := loader.loadBloomFilter(ctx, segment.segmentID, segment.bloomFilterSet, pkStatsBinlogs)
if err != nil {
return err
}
}
log.Info("loading delta...")
return loader.LoadDeltaLogs(ctx, segment, loadInfo.Deltalogs)
}
func (loader *segmentLoader) filterPKStatsBinlogs(fieldBinlogs []*datapb.FieldBinlog, pkFieldID int64) []string {
result := make([]string, 0)
for _, fieldBinlog := range fieldBinlogs {
if fieldBinlog.FieldID == pkFieldID {
for _, binlog := range fieldBinlog.GetBinlogs() {
result = append(result, binlog.GetLogPath())
}
}
}
return result
}
func (loader *segmentLoader) loadGrowingSegmentFields(ctx context.Context, segment *LocalSegment, fieldBinlogs []*datapb.FieldBinlog) error {
if len(fieldBinlogs) <= 0 {
return nil
}
segmentType := segment.Type()
iCodec := storage.InsertCodec{}
// change all field bin log loading into concurrent
loadFutures := make([]*conc.Future[*storage.Blob], 0, len(fieldBinlogs))
for _, fieldBinlog := range fieldBinlogs {
futures := loader.loadFieldBinlogsAsync(ctx, fieldBinlog)
loadFutures = append(loadFutures, futures...)
}
// wait for async load results
blobs := make([]*storage.Blob, len(loadFutures))
for index, future := range loadFutures {
if !future.OK() {
return future.Err()
}
blobs[index] = future.Value()
}
log.Info("log field binlogs done",
zap.Int64("collection", segment.collectionID),
zap.Int64("segment", segment.segmentID),
zap.Any("field", fieldBinlogs),
zap.String("segmentType", segmentType.String()))
_, _, insertData, err := iCodec.Deserialize(blobs)
if err != nil {
log.Warn("failed to deserialize", zap.Int64("segment", segment.segmentID), zap.Error(err))
return err
}
switch segmentType {
case SegmentTypeGrowing:
tsData, ok := insertData.Data[common.TimeStampField]
if !ok {
return errors.New("cannot get timestamps from insert data")
}
utss := make([]uint64, tsData.RowNum())
for i := 0; i < tsData.RowNum(); i++ {
utss[i] = uint64(tsData.GetRow(i).(int64))
}
rowIDData, ok := insertData.Data[common.RowIDField]
if !ok {
return errors.New("cannot get row ids from insert data")
}
return loader.insertIntoSegment(segment, rowIDData.(*storage.Int64FieldData).Data, utss, insertData)
default:
err := fmt.Errorf("illegal segmentType=%s when load segment, collectionID=%v", segmentType.String(), segment.collectionID)
return err
}
}
func (loader *segmentLoader) loadSealedSegmentFields(ctx context.Context, segment *LocalSegment, fields []*datapb.FieldBinlog, loadInfo *querypb.SegmentLoadInfo) error {
runningGroup, groupCtx := errgroup.WithContext(ctx)
for _, field := range fields {
fieldBinLog := field
runningGroup.Go(func() error {
return loader.loadSealedField(groupCtx, segment, fieldBinLog, loadInfo)
})
}
err := runningGroup.Wait()
if err != nil {
return err
}
log.Info("load field binlogs done for sealed segment",
zap.Int64("collection", segment.collectionID),
zap.Int64("segment", segment.segmentID),
zap.Int("len(field)", len(fields)),
zap.String("segmentType", segment.Type().String()))
return nil
}
// async load field of sealed segment
func (loader *segmentLoader) loadSealedField(ctx context.Context, segment *LocalSegment, field *datapb.FieldBinlog, loadInfo *querypb.SegmentLoadInfo) error {
iCodec := storage.InsertCodec{}
// Avoid consuming too much memory if no CPU worker ready,
// acquire a CPU worker before load field binlogs
futures := loader.loadFieldBinlogsAsync(ctx, field)
err := conc.AwaitAll(futures...)
if err != nil {
return err
}
blobs := make([]*storage.Blob, len(futures))
for index, future := range futures {
blobs[index] = future.Value()
}
insertData := storage.InsertData{
Data: make(map[int64]storage.FieldData),
}
_, _, _, err = iCodec.DeserializeInto(blobs, int(loadInfo.GetNumOfRows()), &insertData)
if err != nil {
log.Warn("failed to load sealed field", zap.Int64("SegmentId", segment.segmentID), zap.Error(err))
return err
}
return loader.loadSealedSegments(segment, &insertData)
}
// Load binlogs concurrently into memory from KV storage asyncly
func (loader *segmentLoader) loadFieldBinlogsAsync(ctx context.Context, field *datapb.FieldBinlog) []*conc.Future[*storage.Blob] {
futures := make([]*conc.Future[*storage.Blob], 0, len(field.Binlogs))
for i := range field.Binlogs {
path := field.Binlogs[i].GetLogPath()
future := loader.ioPool.Submit(func() (*storage.Blob, error) {
binLog, err := loader.cm.Read(ctx, path)
if err != nil {
log.Warn("failed to load binlog", zap.String("filePath", path), zap.Error(err))
return nil, err
}
blob := &storage.Blob{
Key: path,
Value: binLog,
}
return blob, nil
})
futures = append(futures, future)
}
return futures
}
func (loader *segmentLoader) loadFieldsIndex(ctx context.Context, segment *LocalSegment, vecFieldInfos map[int64]*IndexedFieldInfo) error {
for fieldID, fieldInfo := range vecFieldInfos {
indexInfo := fieldInfo.IndexInfo
err := loader.loadFieldIndex(ctx, segment, indexInfo)
if err != nil {
return err
}
log.Info("load field binlogs done for sealed segment with index",
zap.Int64("collection", segment.collectionID),
zap.Int64("segment", segment.segmentID),
zap.Int64("fieldID", fieldID),
zap.Any("binlog", fieldInfo.FieldBinlog.Binlogs),
)
segment.AddIndex(fieldID, fieldInfo)
}
return nil
}
func (loader *segmentLoader) loadFieldIndex(ctx context.Context, segment *LocalSegment, indexInfo *querypb.FieldIndexInfo) error {
indexBuffer := make([][]byte, 0, len(indexInfo.IndexFilePaths))
filteredPaths := make([]string, 0, len(indexInfo.IndexFilePaths))
futures := make([]*conc.Future[*storage.Blob], 0, len(indexInfo.IndexFilePaths))
indexCodec := storage.NewIndexFileBinlogCodec()
// TODO, remove the load index info froam
for _, indexPath := range indexInfo.IndexFilePaths {
// get index params when detecting indexParamPrefix
if path.Base(indexPath) == storage.IndexParamsKey {
log.Info("load index params file", zap.String("path", indexPath))
indexParamsBlob, err := loader.cm.Read(ctx, indexPath)
if err != nil {
return err
}
_, indexParams, _, _, err := indexCodec.Deserialize([]*storage.Blob{{Key: storage.IndexParamsKey, Value: indexParamsBlob}})
if err != nil {
return err
}
// update index params(dim...)
newIndexParams := funcutil.KeyValuePair2Map(indexInfo.IndexParams)
for key, value := range indexParams {
newIndexParams[key] = value
}
indexInfo.IndexParams = funcutil.Map2KeyValuePair(newIndexParams)
continue
}
filteredPaths = append(filteredPaths, indexPath)
}
// 2. use index bytes and index path to update segment
indexInfo.IndexFilePaths = filteredPaths
fieldType, err := loader.getFieldType(segment, indexInfo.FieldID)
if err != nil {
return err
}
indexParams := funcutil.KeyValuePair2Map(indexInfo.IndexParams)
// load on disk index
if indexParams["index_type"] == indexparamcheck.IndexDISKANN {
return segment.LoadIndex(nil, indexInfo, fieldType)
}
// load in memory index
for _, p := range indexInfo.IndexFilePaths {
indexPath := p
indexFuture := loader.ioPool.Submit(func() (*storage.Blob, error) {
log.Info("load index file", zap.String("path", indexPath))
data, err := loader.cm.Read(ctx, indexPath)
if err != nil {
log.Warn("failed to load index file", zap.String("path", indexPath), zap.Error(err))
return nil, err
}
blobs, _, _, _, err := indexCodec.Deserialize([]*storage.Blob{{Key: path.Base(indexPath), Value: data}})
if err != nil {
return nil, err
}
return blobs[0], nil
})
futures = append(futures, indexFuture)
}
err = conc.AwaitAll(futures...)
if err != nil {
return err
}
for _, index := range futures {
indexBuffer = append(indexBuffer, index.Value().GetValue())
}
return segment.LoadIndex(indexBuffer, indexInfo, fieldType)
}
func (loader *segmentLoader) insertIntoSegment(segment *LocalSegment,
rowIDs []UniqueID,
timestamps []Timestamp,
insertData *storage.InsertData) error {
rowNum := len(rowIDs)
if rowNum != len(timestamps) || insertData == nil {
return errors.New(fmt.Sprintln("illegal insert data when load segment, collectionID = ", segment.collectionID))
}
log := log.With(
zap.Int64("collectionID", segment.Collection()),
zap.Int64("segmentID", segment.ID()),
)
log.Info("start load growing segments...", zap.Int("rowNum", len(rowIDs)))
// 1. update bloom filter
insertRecord, err := storage.TransferInsertDataToInsertRecord(insertData)
if err != nil {
return err
}
insertMsg := &msgstream.InsertMsg{
InsertRequest: msgpb.InsertRequest{
CollectionID: segment.collectionID,
Timestamps: timestamps,
RowIDs: rowIDs,
NumRows: uint64(rowNum),
FieldsData: insertRecord.FieldsData,
Version: msgpb.InsertDataVersion_ColumnBased,
},
}
collection := loader.manager.Get(segment.Collection())
if collection == nil {
err := WrapCollectionNotFound(segment.Collection())
log.Warn("failed to get collection while inserting data into segment", zap.Error(err))
return err
}
pks, err := GetPrimaryKeys(insertMsg, collection.Schema())
if err != nil {
return err
}
segment.bloomFilterSet.UpdateBloomFilter(pks)
// 2. do insert
err = segment.Insert(rowIDs, timestamps, insertRecord)
if err != nil {
return err
}
log.Info("Do insert done for growing segment", zap.Int("rowNum", rowNum))
return nil
}
func (loader *segmentLoader) loadSealedSegments(segment *LocalSegment, insertData *storage.InsertData) error {
insertRecord, err := storage.TransferInsertDataToInsertRecord(insertData)
if err != nil {
return err
}
numRows := insertRecord.NumRows
for _, fieldData := range insertRecord.FieldsData {
err := segment.LoadField(numRows, fieldData)
if err != nil {
// TODO: return or continue?
return err
}
}
return nil
}
func (loader *segmentLoader) loadBloomFilter(ctx context.Context, segmentID int64, bfs *pkoracle.BloomFilterSet, binlogPaths []string) error {
log := log.Ctx(ctx).With(
zap.Int64("segmentID", segmentID),
)
if len(binlogPaths) == 0 {
log.Info("there are no stats logs saved with segment")
return nil
}
startTs := time.Now()
values, err := loader.cm.MultiRead(ctx, binlogPaths)
if err != nil {
return err
}
blobs := make([]*storage.Blob, 0)
for i := 0; i < len(values); i++ {
blobs = append(blobs, &storage.Blob{Value: values[i]})
}
stats, err := storage.DeserializeStats(blobs)
if err != nil {
log.Warn("failed to deserialize stats", zap.Error(err))
return err
}
var size uint
for _, stat := range stats {
pkStat := &storage.PkStatistics{
PkFilter: stat.BF,
MinPK: stat.MinPk,
MaxPK: stat.MaxPk,
}
size += stat.BF.Cap()
bfs.AddHistoricalStats(pkStat)
}
log.Info("Successfully load pk stats", zap.Duration("time", time.Since(startTs)), zap.Uint("size", size))
return nil
}
func (loader *segmentLoader) LoadDeltaLogs(ctx context.Context, segment *LocalSegment, deltaLogs []*datapb.FieldBinlog) error {
dCodec := storage.DeleteCodec{}
var blobs []*storage.Blob
for _, deltaLog := range deltaLogs {
for _, bLog := range deltaLog.GetBinlogs() {
value, err := loader.cm.Read(ctx, bLog.GetLogPath())
if err != nil {
return err
}
blob := &storage.Blob{
Key: bLog.GetLogPath(),
Value: value,
}
blobs = append(blobs, blob)
}
}
if len(blobs) == 0 {
log.Info("there are no delta logs saved with segment, skip loading delete record", zap.Any("segmentID", segment.segmentID))
return nil
}
_, _, deltaData, err := dCodec.Deserialize(blobs)
if err != nil {
return err
}
err = segment.LoadDeltaData(deltaData)
if err != nil {
return err
}
return nil
}
// JoinIDPath joins ids to path format.
func JoinIDPath(ids ...UniqueID) string {
idStr := make([]string, 0, len(ids))
for _, id := range ids {
idStr = append(idStr, strconv.FormatInt(id, 10))
}
return path.Join(idStr...)
}
func GetStorageSizeByIndexInfo(indexInfo *querypb.FieldIndexInfo) (uint64, uint64, error) {
indexType, err := funcutil.GetAttrByKeyFromRepeatedKV("index_type", indexInfo.IndexParams)
if err != nil {
return 0, 0, fmt.Errorf("index type not exist in index params")
}
if indexType == indexparamcheck.IndexDISKANN {
neededMemSize := indexInfo.IndexSize / UsedDiskMemoryRatio
neededDiskSize := indexInfo.IndexSize - neededMemSize
return uint64(neededMemSize), uint64(neededDiskSize), nil
}
return uint64(indexInfo.IndexSize), 0, nil
}
func (loader *segmentLoader) checkSegmentSize(collectionID UniqueID, segmentLoadInfos []*querypb.SegmentLoadInfo, concurrency int) error {
usedMem := hardware.GetUsedMemoryCount()
totalMem := hardware.GetMemoryCount()
if len(segmentLoadInfos) < concurrency {
concurrency = len(segmentLoadInfos)
}
if usedMem == 0 || totalMem == 0 {
return fmt.Errorf("get memory failed when checkSegmentSize, collectionID = %d", collectionID)
}
usedMemAfterLoad := usedMem
maxSegmentSize := uint64(0)
localUsedSize, err := GetLocalUsedSize()
if err != nil {
return fmt.Errorf("get local used size failed, collectionID = %d", collectionID)
}
usedLocalSizeAfterLoad := uint64(localUsedSize)
for _, loadInfo := range segmentLoadInfos {
oldUsedMem := usedMemAfterLoad
vecFieldID2IndexInfo := make(map[int64]*querypb.FieldIndexInfo)
for _, fieldIndexInfo := range loadInfo.IndexInfos {
if fieldIndexInfo.EnableIndex {
fieldID := fieldIndexInfo.FieldID
vecFieldID2IndexInfo[fieldID] = fieldIndexInfo
}
}
for _, fieldBinlog := range loadInfo.BinlogPaths {
fieldID := fieldBinlog.FieldID
if fieldIndexInfo, ok := vecFieldID2IndexInfo[fieldID]; ok {
neededMemSize, neededDiskSize, err := GetStorageSizeByIndexInfo(fieldIndexInfo)
if err != nil {
log.Error(err.Error(), zap.Int64("collectionID", loadInfo.CollectionID),
zap.Int64("segmentID", loadInfo.SegmentID),
zap.Int64("indexBuildID", fieldIndexInfo.BuildID))
return err
}
usedMemAfterLoad += neededMemSize
usedLocalSizeAfterLoad += neededDiskSize
} else {
usedMemAfterLoad += uint64(getFieldSizeFromFieldBinlog(fieldBinlog))
}
}
// get size of state data
for _, fieldBinlog := range loadInfo.Statslogs {
usedMemAfterLoad += uint64(getFieldSizeFromFieldBinlog(fieldBinlog))
}
// get size of delete data
for _, fieldBinlog := range loadInfo.Deltalogs {
usedMemAfterLoad += uint64(getFieldSizeFromFieldBinlog(fieldBinlog))
}
if usedMemAfterLoad-oldUsedMem > maxSegmentSize {
maxSegmentSize = usedMemAfterLoad - oldUsedMem
}
}
toMB := func(mem uint64) uint64 {
return mem / 1024 / 1024
}
// when load segment, data will be copied from go memory to c++ memory
memLoadingUsage := usedMemAfterLoad + uint64(
float64(maxSegmentSize)*float64(concurrency)*paramtable.Get().QueryNodeCfg.LoadMemoryUsageFactor.GetAsFloat())
log.Info("predict memory and disk usage while loading (in MiB)",
zap.Int64("collectionID", collectionID),
zap.Int("concurrency", concurrency),
zap.Uint64("memUsage", toMB(memLoadingUsage)),
zap.Uint64("memUsageAfterLoad", toMB(usedMemAfterLoad)),
zap.Uint64("diskUsageAfterLoad", toMB(usedLocalSizeAfterLoad)))
if memLoadingUsage > uint64(float64(totalMem)*paramtable.Get().QueryNodeCfg.OverloadedMemoryThresholdPercentage.GetAsFloat()) {
return fmt.Errorf("load segment failed, OOM if load, collectionID = %d, maxSegmentSize = %v MB, concurrency = %d, usedMemAfterLoad = %v MB, totalMem = %v MB, thresholdFactor = %f",
collectionID,
toMB(maxSegmentSize),
concurrency,
toMB(usedMemAfterLoad),
toMB(totalMem),
paramtable.Get().QueryNodeCfg.OverloadedMemoryThresholdPercentage.GetAsFloat())
}
if usedLocalSizeAfterLoad > uint64(float64(paramtable.Get().QueryNodeCfg.DiskCapacityLimit.GetAsInt64())*paramtable.Get().QueryNodeCfg.MaxDiskUsagePercentage.GetAsFloat()) {
return fmt.Errorf("load segment failed, disk space is not enough, collectionID = %d, usedDiskAfterLoad = %v MB, totalDisk = %v MB, thresholdFactor = %f",
collectionID,
toMB(usedLocalSizeAfterLoad),
toMB(uint64(paramtable.Get().QueryNodeCfg.DiskCapacityLimit.GetAsInt64())),
paramtable.Get().QueryNodeCfg.MaxDiskUsagePercentage.GetAsFloat())
}
return nil
}
func getFieldSizeFromFieldBinlog(fieldBinlog *datapb.FieldBinlog) int64 {
fieldSize := int64(0)
for _, binlog := range fieldBinlog.Binlogs {
fieldSize += binlog.LogSize
}
return fieldSize
}