mirror of
https://gitee.com/milvus-io/milvus.git
synced 2024-12-05 05:18:52 +08:00
447 lines
14 KiB
Go
447 lines
14 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 segments
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import (
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"context"
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"fmt"
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"math"
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"github.com/golang/protobuf/proto"
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"github.com/samber/lo"
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"go.uber.org/zap"
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"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
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"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
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"github.com/milvus-io/milvus/internal/proto/internalpb"
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"github.com/milvus-io/milvus/internal/proto/segcorepb"
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typeutil2 "github.com/milvus-io/milvus/internal/util/typeutil"
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"github.com/milvus-io/milvus/pkg/common"
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"github.com/milvus-io/milvus/pkg/log"
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"github.com/milvus-io/milvus/pkg/util/paramtable"
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"github.com/milvus-io/milvus/pkg/util/typeutil"
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)
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var _ typeutil.ResultWithID = &internalpb.RetrieveResults{}
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var _ typeutil.ResultWithID = &segcorepb.RetrieveResults{}
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func ReduceSearchResults(ctx context.Context, results []*internalpb.SearchResults, nq int64, topk int64, metricType string) (*internalpb.SearchResults, error) {
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results = lo.Filter(results, func(result *internalpb.SearchResults, _ int) bool {
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return result != nil && result.GetSlicedBlob() != nil
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})
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if len(results) == 1 {
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return results[0], nil
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}
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log := log.Ctx(ctx)
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searchResultData, err := DecodeSearchResults(results)
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if err != nil {
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log.Warn("shard leader decode search results errors", zap.Error(err))
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return nil, err
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}
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log.Debug("shard leader get valid search results", zap.Int("numbers", len(searchResultData)))
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for i, sData := range searchResultData {
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log.Debug("reduceSearchResultData",
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zap.Int("result No.", i),
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zap.Int64("nq", sData.NumQueries),
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zap.Int64("topk", sData.TopK))
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}
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reducedResultData, err := ReduceSearchResultData(ctx, searchResultData, nq, topk)
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if err != nil {
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log.Warn("shard leader reduce errors", zap.Error(err))
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return nil, err
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}
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searchResults, err := EncodeSearchResultData(reducedResultData, nq, topk, metricType)
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if err != nil {
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log.Warn("shard leader encode search result errors", zap.Error(err))
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return nil, err
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}
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requestCosts := lo.FilterMap(results, func(result *internalpb.SearchResults, _ int) (*internalpb.CostAggregation, bool) {
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if paramtable.Get().QueryNodeCfg.EnableWorkerSQCostMetrics.GetAsBool() {
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return result.GetCostAggregation(), true
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}
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if result.GetBase().GetSourceID() == paramtable.GetNodeID() {
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return result.GetCostAggregation(), true
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}
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return nil, false
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})
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searchResults.CostAggregation = mergeRequestCost(requestCosts)
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return searchResults, nil
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}
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func ReduceSearchResultData(ctx context.Context, searchResultData []*schemapb.SearchResultData, nq int64, topk int64) (*schemapb.SearchResultData, error) {
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log := log.Ctx(ctx)
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if len(searchResultData) == 0 {
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return &schemapb.SearchResultData{
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NumQueries: nq,
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TopK: topk,
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FieldsData: make([]*schemapb.FieldData, 0),
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Scores: make([]float32, 0),
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Ids: &schemapb.IDs{},
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Topks: make([]int64, 0),
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}, nil
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}
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ret := &schemapb.SearchResultData{
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NumQueries: nq,
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TopK: topk,
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FieldsData: make([]*schemapb.FieldData, len(searchResultData[0].FieldsData)),
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Scores: make([]float32, 0),
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Ids: &schemapb.IDs{},
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Topks: make([]int64, 0),
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}
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resultOffsets := make([][]int64, len(searchResultData))
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for i := 0; i < len(searchResultData); i++ {
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resultOffsets[i] = make([]int64, len(searchResultData[i].Topks))
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for j := int64(1); j < nq; j++ {
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resultOffsets[i][j] = resultOffsets[i][j-1] + searchResultData[i].Topks[j-1]
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}
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}
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var skipDupCnt int64
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for i := int64(0); i < nq; i++ {
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offsets := make([]int64, len(searchResultData))
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var idSet = make(map[interface{}]struct{})
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var j int64
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for j = 0; j < topk; {
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sel := SelectSearchResultData(searchResultData, resultOffsets, offsets, i)
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if sel == -1 {
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break
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}
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idx := resultOffsets[sel][i] + offsets[sel]
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id := typeutil.GetPK(searchResultData[sel].GetIds(), idx)
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score := searchResultData[sel].Scores[idx]
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// remove duplicates
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if _, ok := idSet[id]; !ok {
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typeutil.AppendFieldData(ret.FieldsData, searchResultData[sel].FieldsData, idx)
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typeutil.AppendPKs(ret.Ids, id)
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ret.Scores = append(ret.Scores, score)
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idSet[id] = struct{}{}
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j++
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} else {
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// skip entity with same id
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skipDupCnt++
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}
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offsets[sel]++
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}
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// if realTopK != -1 && realTopK != j {
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// log.Warn("Proxy Reduce Search Result", zap.Error(errors.New("the length (topk) between all result of query is different")))
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// // return nil, errors.New("the length (topk) between all result of query is different")
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// }
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ret.Topks = append(ret.Topks, j)
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// limit search result to avoid oom
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if int64(proto.Size(ret)) > paramtable.Get().QuotaConfig.MaxOutputSize.GetAsInt64() {
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return nil, fmt.Errorf("search results exceed the maxOutputSize Limit %d", paramtable.Get().QuotaConfig.MaxOutputSize.GetAsInt64())
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}
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}
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log.Debug("skip duplicated search result", zap.Int64("count", skipDupCnt))
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return ret, nil
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}
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func SelectSearchResultData(dataArray []*schemapb.SearchResultData, resultOffsets [][]int64, offsets []int64, qi int64) int {
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var (
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sel = -1
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maxDistance = -float32(math.MaxFloat32)
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resultDataIdx int64 = -1
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)
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for i, offset := range offsets { // query num, the number of ways to merge
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if offset >= dataArray[i].Topks[qi] {
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continue
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}
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idx := resultOffsets[i][qi] + offset
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distance := dataArray[i].Scores[idx]
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if distance > maxDistance {
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sel = i
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maxDistance = distance
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resultDataIdx = idx
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} else if distance == maxDistance {
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if sel == -1 {
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// A bad case happens where knowhere returns distance == +/-maxFloat32
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// by mistake.
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log.Error("a bad distance is found, something is wrong here!", zap.Float32("score", distance))
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} else if typeutil.ComparePK(
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typeutil.GetPK(dataArray[i].GetIds(), idx),
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typeutil.GetPK(dataArray[sel].GetIds(), resultDataIdx)) {
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sel = i
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maxDistance = distance
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resultDataIdx = idx
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}
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}
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}
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return sel
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}
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func DecodeSearchResults(searchResults []*internalpb.SearchResults) ([]*schemapb.SearchResultData, error) {
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results := make([]*schemapb.SearchResultData, 0)
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for _, partialSearchResult := range searchResults {
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if partialSearchResult.SlicedBlob == nil {
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continue
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}
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var partialResultData schemapb.SearchResultData
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err := proto.Unmarshal(partialSearchResult.SlicedBlob, &partialResultData)
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if err != nil {
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return nil, err
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}
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results = append(results, &partialResultData)
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}
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return results, nil
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}
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func EncodeSearchResultData(searchResultData *schemapb.SearchResultData, nq int64, topk int64, metricType string) (searchResults *internalpb.SearchResults, err error) {
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searchResults = &internalpb.SearchResults{
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Status: &commonpb.Status{
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ErrorCode: commonpb.ErrorCode_Success,
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},
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NumQueries: nq,
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TopK: topk,
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MetricType: metricType,
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SlicedBlob: nil,
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}
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slicedBlob, err := proto.Marshal(searchResultData)
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if err != nil {
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return nil, err
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}
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if searchResultData != nil && searchResultData.Ids != nil && typeutil.GetSizeOfIDs(searchResultData.Ids) != 0 {
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searchResults.SlicedBlob = slicedBlob
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}
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return
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}
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func MergeInternalRetrieveResult(ctx context.Context, retrieveResults []*internalpb.RetrieveResults, limit int64) (*internalpb.RetrieveResults, error) {
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log.Ctx(ctx).Debug("mergeInternelRetrieveResults",
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zap.Int64("limit", limit),
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zap.Int("resultNum", len(retrieveResults)),
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)
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var (
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ret = &internalpb.RetrieveResults{
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Ids: &schemapb.IDs{},
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}
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skipDupCnt int64
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loopEnd int
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)
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validRetrieveResults := []*internalpb.RetrieveResults{}
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for _, r := range retrieveResults {
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size := typeutil.GetSizeOfIDs(r.GetIds())
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if r == nil || len(r.GetFieldsData()) == 0 || size == 0 {
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continue
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}
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validRetrieveResults = append(validRetrieveResults, r)
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loopEnd += size
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}
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if len(validRetrieveResults) == 0 {
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return ret, nil
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}
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if limit != typeutil.Unlimited {
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loopEnd = int(limit)
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}
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ret.FieldsData = make([]*schemapb.FieldData, len(validRetrieveResults[0].GetFieldsData()))
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idTsMap := make(map[interface{}]uint64)
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cursors := make([]int64, len(validRetrieveResults))
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for j := 0; j < loopEnd; j++ {
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sel := typeutil.SelectMinPK(validRetrieveResults, cursors)
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if sel == -1 {
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break
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}
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pk := typeutil.GetPK(validRetrieveResults[sel].GetIds(), cursors[sel])
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ts := getTS(validRetrieveResults[sel], cursors[sel])
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if _, ok := idTsMap[pk]; !ok {
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typeutil.AppendPKs(ret.Ids, pk)
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typeutil.AppendFieldData(ret.FieldsData, validRetrieveResults[sel].GetFieldsData(), cursors[sel])
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idTsMap[pk] = ts
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} else {
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// primary keys duplicate
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skipDupCnt++
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if ts != 0 && ts > idTsMap[pk] {
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idTsMap[pk] = ts
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typeutil.DeleteFieldData(ret.FieldsData)
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typeutil.AppendFieldData(ret.FieldsData, validRetrieveResults[sel].GetFieldsData(), cursors[sel])
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}
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}
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// limit retrieve result to avoid oom
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if int64(proto.Size(ret)) > paramtable.Get().QuotaConfig.MaxOutputSize.GetAsInt64() {
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return nil, fmt.Errorf("query results exceed the maxOutputSize Limit %d", paramtable.Get().QuotaConfig.MaxOutputSize.GetAsInt64())
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}
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cursors[sel]++
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}
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if skipDupCnt > 0 {
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log.Debug("skip duplicated query result while reducing internal.RetrieveResults", zap.Int64("dupCount", skipDupCnt))
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}
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requestCosts := lo.FilterMap(retrieveResults, func(result *internalpb.RetrieveResults, _ int) (*internalpb.CostAggregation, bool) {
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if paramtable.Get().QueryNodeCfg.EnableWorkerSQCostMetrics.GetAsBool() {
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return result.GetCostAggregation(), true
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}
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if result.GetBase().GetSourceID() == paramtable.GetNodeID() {
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return result.GetCostAggregation(), true
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}
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return nil, false
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})
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ret.CostAggregation = mergeRequestCost(requestCosts)
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return ret, nil
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}
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func getTS(i *internalpb.RetrieveResults, idx int64) uint64 {
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if i.FieldsData == nil {
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return 0
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}
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for _, fieldData := range i.FieldsData {
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fieldID := fieldData.FieldId
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if fieldID == common.TimeStampField {
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res := fieldData.GetScalars().GetLongData().Data
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return uint64(res[idx])
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}
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}
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return 0
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}
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func MergeSegcoreRetrieveResults(ctx context.Context, retrieveResults []*segcorepb.RetrieveResults, limit int64) (*segcorepb.RetrieveResults, error) {
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log.Ctx(ctx).Debug("mergeSegcoreRetrieveResults",
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zap.Int64("limit", limit),
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zap.Int("resultNum", len(retrieveResults)),
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)
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var (
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ret = &segcorepb.RetrieveResults{
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Ids: &schemapb.IDs{},
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}
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skipDupCnt int64
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loopEnd int
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)
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validRetrieveResults := []*segcorepb.RetrieveResults{}
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for _, r := range retrieveResults {
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size := typeutil.GetSizeOfIDs(r.GetIds())
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if r == nil || len(r.GetOffset()) == 0 || size == 0 {
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log.Debug("filter out invalid retrieve result")
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continue
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}
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validRetrieveResults = append(validRetrieveResults, r)
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loopEnd += size
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}
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if len(validRetrieveResults) == 0 {
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return ret, nil
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}
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if limit != typeutil.Unlimited {
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loopEnd = int(limit)
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}
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ret.FieldsData = make([]*schemapb.FieldData, len(validRetrieveResults[0].GetFieldsData()))
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idSet := make(map[interface{}]struct{})
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cursors := make([]int64, len(validRetrieveResults))
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for j := 0; j < loopEnd; j++ {
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sel := typeutil.SelectMinPK(validRetrieveResults, cursors)
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if sel == -1 {
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break
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}
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pk := typeutil.GetPK(validRetrieveResults[sel].GetIds(), cursors[sel])
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if _, ok := idSet[pk]; !ok {
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typeutil.AppendPKs(ret.Ids, pk)
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typeutil.AppendFieldData(ret.FieldsData, validRetrieveResults[sel].GetFieldsData(), cursors[sel])
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idSet[pk] = struct{}{}
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} else {
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// primary keys duplicate
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skipDupCnt++
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}
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// limit retrieve result to avoid oom
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if int64(proto.Size(ret)) > paramtable.Get().QuotaConfig.MaxOutputSize.GetAsInt64() {
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return nil, fmt.Errorf("query results exceed the maxOutputSize Limit %d", paramtable.Get().QuotaConfig.MaxOutputSize.GetAsInt64())
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}
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cursors[sel]++
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}
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if skipDupCnt > 0 {
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log.Debug("skip duplicated query result while reducing segcore.RetrieveResults", zap.Int64("dupCount", skipDupCnt))
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}
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return ret, nil
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}
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func mergeInternalRetrieveResultsAndFillIfEmpty(
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ctx context.Context,
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retrieveResults []*internalpb.RetrieveResults,
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limit int64,
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outputFieldsID []int64,
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schema *schemapb.CollectionSchema,
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) (*internalpb.RetrieveResults, error) {
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mergedResult, err := MergeInternalRetrieveResult(ctx, retrieveResults, limit)
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if err != nil {
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return nil, err
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}
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if err := typeutil2.FillRetrieveResultIfEmpty(typeutil2.NewInternalResult(mergedResult), outputFieldsID, schema); err != nil {
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return nil, fmt.Errorf("failed to fill internal retrieve results: %s", err.Error())
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}
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return mergedResult, nil
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}
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func mergeSegcoreRetrieveResultsAndFillIfEmpty(
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ctx context.Context,
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retrieveResults []*segcorepb.RetrieveResults,
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limit int64,
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outputFieldsID []int64,
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schema *schemapb.CollectionSchema,
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) (*segcorepb.RetrieveResults, error) {
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mergedResult, err := MergeSegcoreRetrieveResults(ctx, retrieveResults, limit)
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if err != nil {
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return nil, err
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}
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if err := typeutil2.FillRetrieveResultIfEmpty(typeutil2.NewSegcoreResults(mergedResult), outputFieldsID, schema); err != nil {
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return nil, fmt.Errorf("failed to fill segcore retrieve results: %s", err.Error())
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}
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return mergedResult, nil
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}
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