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issue: #29892 This PR: 1. Move the process of gathering materialized search info to when the search plan is created, before it goes to each segment, to avoid repeated work and access the plan node under multi-threaded circumstances. 2. Enforce the supported MV type to `VARCHAR` 3. Add integration test Signed-off-by: Patrick Weizhi Xu <weizhi.xu@zilliz.com>
1043 lines
34 KiB
Go
1043 lines
34 KiB
Go
package proxy
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import (
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"context"
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"encoding/json"
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"fmt"
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"math"
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"strconv"
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"github.com/cockroachdb/errors"
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"github.com/golang/protobuf/proto"
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"github.com/samber/lo"
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"go.opentelemetry.io/otel"
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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/milvuspb"
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"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
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"github.com/milvus-io/milvus/internal/parser/planparserv2"
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"github.com/milvus-io/milvus/internal/proto/internalpb"
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"github.com/milvus-io/milvus/internal/proto/planpb"
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"github.com/milvus-io/milvus/internal/proto/querypb"
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"github.com/milvus-io/milvus/internal/types"
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"github.com/milvus-io/milvus/internal/util/exprutil"
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"github.com/milvus-io/milvus/pkg/log"
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"github.com/milvus-io/milvus/pkg/metrics"
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"github.com/milvus-io/milvus/pkg/util/commonpbutil"
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"github.com/milvus-io/milvus/pkg/util/funcutil"
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"github.com/milvus-io/milvus/pkg/util/merr"
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"github.com/milvus-io/milvus/pkg/util/metric"
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"github.com/milvus-io/milvus/pkg/util/paramtable"
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"github.com/milvus-io/milvus/pkg/util/timerecord"
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"github.com/milvus-io/milvus/pkg/util/tsoutil"
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"github.com/milvus-io/milvus/pkg/util/typeutil"
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)
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const (
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SearchTaskName = "SearchTask"
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SearchLevelKey = "level"
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// requeryThreshold is the estimated threshold for the size of the search results.
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// If the number of estimated search results exceeds this threshold,
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// a second query request will be initiated to retrieve output fields data.
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// In this case, the first search will not return any output field from QueryNodes.
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requeryThreshold = 0.5 * 1024 * 1024
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radiusKey = "radius"
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rangeFilterKey = "range_filter"
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)
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type searchTask struct {
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Condition
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ctx context.Context
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*internalpb.SearchRequest
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result *milvuspb.SearchResults
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request *milvuspb.SearchRequest
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tr *timerecord.TimeRecorder
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collectionName string
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schema *schemaInfo
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requery bool
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partitionKeyMode bool
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enableMaterializedView bool
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userOutputFields []string
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resultBuf *typeutil.ConcurrentSet[*internalpb.SearchResults]
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partitionIDsSet *typeutil.ConcurrentSet[UniqueID]
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qc types.QueryCoordClient
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node types.ProxyComponent
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lb LBPolicy
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queryChannelsTs map[string]Timestamp
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queryInfos []*planpb.QueryInfo
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relatedDataSize int64
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reScorers []reScorer
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rankParams *rankParams
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}
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func (t *searchTask) CanSkipAllocTimestamp() bool {
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var consistencyLevel commonpb.ConsistencyLevel
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useDefaultConsistency := t.request.GetUseDefaultConsistency()
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if !useDefaultConsistency {
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consistencyLevel = t.request.GetConsistencyLevel()
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} else {
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collID, err := globalMetaCache.GetCollectionID(context.Background(), t.request.GetDbName(), t.request.GetCollectionName())
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if err != nil { // err is not nil if collection not exists
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log.Warn("search task get collectionID failed, can't skip alloc timestamp",
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zap.String("collectionName", t.request.GetCollectionName()), zap.Error(err))
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return false
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}
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collectionInfo, err2 := globalMetaCache.GetCollectionInfo(context.Background(), t.request.GetDbName(), t.request.GetCollectionName(), collID)
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if err2 != nil {
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log.Warn("search task get collection info failed, can't skip alloc timestamp",
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zap.String("collectionName", t.request.GetCollectionName()), zap.Error(err))
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return false
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}
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consistencyLevel = collectionInfo.consistencyLevel
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}
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return consistencyLevel != commonpb.ConsistencyLevel_Strong
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}
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func (t *searchTask) PreExecute(ctx context.Context) error {
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ctx, sp := otel.Tracer(typeutil.ProxyRole).Start(ctx, "Proxy-Search-PreExecute")
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defer sp.End()
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t.SearchRequest.IsAdvanced = len(t.request.GetSubReqs()) > 0
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t.Base.MsgType = commonpb.MsgType_Search
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t.Base.SourceID = paramtable.GetNodeID()
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collectionName := t.request.CollectionName
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t.collectionName = collectionName
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collID, err := globalMetaCache.GetCollectionID(ctx, t.request.GetDbName(), collectionName)
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if err != nil { // err is not nil if collection not exists
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return err
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}
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t.SearchRequest.DbID = 0 // todo
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t.SearchRequest.CollectionID = collID
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log := log.Ctx(ctx).With(zap.Int64("collID", collID), zap.String("collName", collectionName))
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t.schema, err = globalMetaCache.GetCollectionSchema(ctx, t.request.GetDbName(), collectionName)
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if err != nil {
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log.Warn("get collection schema failed", zap.Error(err))
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return err
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}
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t.partitionKeyMode, err = isPartitionKeyMode(ctx, t.request.GetDbName(), collectionName)
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if err != nil {
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log.Warn("is partition key mode failed", zap.Error(err))
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return err
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}
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if t.partitionKeyMode && len(t.request.GetPartitionNames()) != 0 {
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return errors.New("not support manually specifying the partition names if partition key mode is used")
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}
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if !t.partitionKeyMode && len(t.request.GetPartitionNames()) > 0 {
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// translate partition name to partition ids. Use regex-pattern to match partition name.
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t.SearchRequest.PartitionIDs, err = getPartitionIDs(ctx, t.request.GetDbName(), collectionName, t.request.GetPartitionNames())
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if err != nil {
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log.Warn("failed to get partition ids", zap.Error(err))
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return err
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}
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}
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t.request.OutputFields, t.userOutputFields, err = translateOutputFields(t.request.OutputFields, t.schema, false)
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if err != nil {
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log.Warn("translate output fields failed", zap.Error(err))
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return err
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}
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log.Debug("translate output fields",
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zap.Strings("output fields", t.request.GetOutputFields()))
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if t.SearchRequest.GetIsAdvanced() {
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if len(t.request.GetSubReqs()) > defaultMaxSearchRequest {
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return errors.New(fmt.Sprintf("maximum of ann search requests is %d", defaultMaxSearchRequest))
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}
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}
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if t.SearchRequest.GetIsAdvanced() {
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t.rankParams, err = parseRankParams(t.request.GetSearchParams())
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if err != nil {
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return err
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}
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}
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// Manually update nq if not set.
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nq, err := t.checkNq(ctx)
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if err != nil {
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log.Info("failed to check nq", zap.Error(err))
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return err
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}
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t.SearchRequest.Nq = nq
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var ignoreGrowing bool
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// parse common search params
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for i, kv := range t.request.GetSearchParams() {
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if kv.GetKey() == IgnoreGrowingKey {
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ignoreGrowing, err = strconv.ParseBool(kv.GetValue())
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if err != nil {
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return errors.New("parse search growing failed")
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}
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t.request.SearchParams = append(t.request.GetSearchParams()[:i], t.request.GetSearchParams()[i+1:]...)
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break
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}
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}
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t.SearchRequest.IgnoreGrowing = ignoreGrowing
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outputFieldIDs, err := getOutputFieldIDs(t.schema, t.request.GetOutputFields())
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if err != nil {
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log.Info("fail to get output field ids", zap.Error(err))
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return err
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}
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t.SearchRequest.OutputFieldsId = outputFieldIDs
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// Currently, we get vectors by requery. Once we support getting vectors from search,
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// searches with small result size could no longer need requery.
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vectorOutputFields := lo.Filter(t.schema.GetFields(), func(field *schemapb.FieldSchema, _ int) bool {
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return lo.Contains(t.request.GetOutputFields(), field.GetName()) && typeutil.IsVectorType(field.GetDataType())
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})
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if t.SearchRequest.GetIsAdvanced() {
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t.requery = len(t.request.OutputFields) > 0
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err = t.initAdvancedSearchRequest(ctx)
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} else {
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t.requery = len(vectorOutputFields) > 0
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err = t.initSearchRequest(ctx)
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}
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if err != nil {
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log.Debug("init search request failed", zap.Error(err))
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return err
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}
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collectionInfo, err2 := globalMetaCache.GetCollectionInfo(ctx, t.request.GetDbName(), collectionName, t.CollectionID)
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if err2 != nil {
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log.Warn("Proxy::searchTask::PreExecute failed to GetCollectionInfo from cache",
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zap.String("collectionName", collectionName), zap.Int64("collectionID", t.CollectionID), zap.Error(err2))
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return err2
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}
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guaranteeTs := t.request.GetGuaranteeTimestamp()
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var consistencyLevel commonpb.ConsistencyLevel
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useDefaultConsistency := t.request.GetUseDefaultConsistency()
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if useDefaultConsistency {
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consistencyLevel = collectionInfo.consistencyLevel
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guaranteeTs = parseGuaranteeTsFromConsistency(guaranteeTs, t.BeginTs(), consistencyLevel)
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} else {
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consistencyLevel = t.request.GetConsistencyLevel()
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// Compatibility logic, parse guarantee timestamp
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if consistencyLevel == 0 && guaranteeTs > 0 {
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guaranteeTs = parseGuaranteeTs(guaranteeTs, t.BeginTs())
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} else {
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// parse from guarantee timestamp and user input consistency level
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guaranteeTs = parseGuaranteeTsFromConsistency(guaranteeTs, t.BeginTs(), consistencyLevel)
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}
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}
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t.SearchRequest.GuaranteeTimestamp = guaranteeTs
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t.SearchRequest.ConsistencyLevel = consistencyLevel
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if deadline, ok := t.TraceCtx().Deadline(); ok {
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t.SearchRequest.TimeoutTimestamp = tsoutil.ComposeTSByTime(deadline, 0)
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}
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// Set username of this search request for feature like task scheduling.
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if username, _ := GetCurUserFromContext(ctx); username != "" {
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t.SearchRequest.Username = username
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}
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t.resultBuf = typeutil.NewConcurrentSet[*internalpb.SearchResults]()
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log.Debug("search PreExecute done.",
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zap.Uint64("guarantee_ts", guaranteeTs),
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zap.Bool("use_default_consistency", useDefaultConsistency),
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zap.Any("consistency level", consistencyLevel),
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zap.Uint64("timeout_ts", t.SearchRequest.GetTimeoutTimestamp()))
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return nil
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}
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func (t *searchTask) checkNq(ctx context.Context) (int64, error) {
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var nq int64
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if t.SearchRequest.GetIsAdvanced() {
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// In the context of Advanced Search, it is essential to verify that the number of vectors
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// for each individual search, denoted as nq, remains consistent.
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nq = t.request.GetNq()
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for _, req := range t.request.GetSubReqs() {
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subNq, err := getNqFromSubSearch(req)
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if err != nil {
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return 0, err
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}
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req.Nq = subNq
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if nq == 0 {
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nq = subNq
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continue
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}
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if subNq != nq {
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err = merr.WrapErrParameterInvalid(nq, subNq, "sub search request nq should be the same")
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return 0, err
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}
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}
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t.request.Nq = nq
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} else {
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var err error
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nq, err = getNq(t.request)
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if err != nil {
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return 0, err
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}
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t.request.Nq = nq
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}
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// Check if nq is valid:
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// https://milvus.io/docs/limitations.md
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if err := validateNQLimit(nq); err != nil {
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return 0, fmt.Errorf("%s [%d] is invalid, %w", NQKey, nq, err)
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}
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return nq, nil
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}
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func setQueryInfoIfMvEnable(queryInfo *planpb.QueryInfo, t *searchTask) error {
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if t.enableMaterializedView {
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partitionKeyFieldSchema, err := typeutil.GetPartitionKeyFieldSchema(t.schema.CollectionSchema)
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if err != nil {
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log.Warn("failed to get partition key field schema", zap.Error(err))
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return err
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}
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if typeutil.IsFieldDataTypeSupportMaterializedView(partitionKeyFieldSchema) {
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queryInfo.MaterializedViewInvolved = true
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}
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}
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return nil
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}
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func (t *searchTask) initAdvancedSearchRequest(ctx context.Context) error {
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ctx, sp := otel.Tracer(typeutil.ProxyRole).Start(ctx, "init advanced search request")
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defer sp.End()
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t.partitionIDsSet = typeutil.NewConcurrentSet[UniqueID]()
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log := log.Ctx(ctx).With(zap.Int64("collID", t.GetCollectionID()), zap.String("collName", t.collectionName))
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// fetch search_growing from search param
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t.SearchRequest.SubReqs = make([]*internalpb.SubSearchRequest, len(t.request.GetSubReqs()))
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t.queryInfos = make([]*planpb.QueryInfo, len(t.request.GetSubReqs()))
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for index, subReq := range t.request.GetSubReqs() {
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plan, queryInfo, offset, err := t.tryGeneratePlan(subReq.GetSearchParams(), subReq.GetDsl(), true)
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if err != nil {
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return err
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}
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if queryInfo.GetGroupByFieldId() != -1 {
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return errors.New("not support search_group_by operation in the hybrid search")
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}
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internalSubReq := &internalpb.SubSearchRequest{
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Dsl: subReq.GetDsl(),
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PlaceholderGroup: subReq.GetPlaceholderGroup(),
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DslType: subReq.GetDslType(),
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SerializedExprPlan: nil,
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Nq: subReq.GetNq(),
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PartitionIDs: nil,
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Topk: queryInfo.GetTopk(),
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Offset: offset,
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}
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// set PartitionIDs for sub search
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if t.partitionKeyMode {
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partitionIDs, err2 := t.tryParsePartitionIDsFromPlan(plan)
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if err2 != nil {
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return err2
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}
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if len(partitionIDs) > 0 {
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internalSubReq.PartitionIDs = partitionIDs
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t.partitionIDsSet.Upsert(partitionIDs...)
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setQueryInfoIfMvEnable(queryInfo, t)
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}
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} else {
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internalSubReq.PartitionIDs = t.SearchRequest.GetPartitionIDs()
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}
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if t.requery {
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plan.OutputFieldIds = nil
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} else {
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plan.OutputFieldIds = t.SearchRequest.OutputFieldsId
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}
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internalSubReq.SerializedExprPlan, err = proto.Marshal(plan)
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if err != nil {
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return err
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}
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t.SearchRequest.SubReqs[index] = internalSubReq
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t.queryInfos[index] = queryInfo
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log.Debug("proxy init search request",
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zap.Int64s("plan.OutputFieldIds", plan.GetOutputFieldIds()),
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zap.Stringer("plan", plan)) // may be very large if large term passed.
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}
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// used for requery
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if t.partitionKeyMode {
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t.SearchRequest.PartitionIDs = t.partitionIDsSet.Collect()
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}
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var err error
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t.reScorers, err = NewReScorers(len(t.request.GetSubReqs()), t.request.GetSearchParams())
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if err != nil {
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log.Info("generate reScorer failed", zap.Any("params", t.request.GetSearchParams()), zap.Error(err))
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return err
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}
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return nil
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}
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func (t *searchTask) initSearchRequest(ctx context.Context) error {
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ctx, sp := otel.Tracer(typeutil.ProxyRole).Start(ctx, "init search request")
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defer sp.End()
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log := log.Ctx(ctx).With(zap.Int64("collID", t.GetCollectionID()), zap.String("collName", t.collectionName))
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// fetch search_growing from search param
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plan, queryInfo, offset, err := t.tryGeneratePlan(t.request.GetSearchParams(), t.request.GetDsl(), false)
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if err != nil {
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return err
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}
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t.SearchRequest.Offset = offset
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if t.partitionKeyMode {
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partitionIDs, err2 := t.tryParsePartitionIDsFromPlan(plan)
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if err2 != nil {
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return err2
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}
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if len(partitionIDs) > 0 {
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t.SearchRequest.PartitionIDs = partitionIDs
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setQueryInfoIfMvEnable(queryInfo, t)
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}
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}
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if t.requery {
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plan.OutputFieldIds = nil
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} else {
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plan.OutputFieldIds = t.SearchRequest.OutputFieldsId
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}
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t.SearchRequest.SerializedExprPlan, err = proto.Marshal(plan)
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if err != nil {
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return err
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}
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t.SearchRequest.PlaceholderGroup = t.request.PlaceholderGroup
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t.SearchRequest.Topk = queryInfo.GetTopk()
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t.SearchRequest.MetricType = queryInfo.GetMetricType()
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t.queryInfos = append(t.queryInfos, queryInfo)
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t.SearchRequest.DslType = commonpb.DslType_BoolExprV1
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log.Debug("proxy init search request",
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zap.Int64s("plan.OutputFieldIds", plan.GetOutputFieldIds()),
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zap.Stringer("plan", plan)) // may be very large if large term passed.
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return nil
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}
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func (t *searchTask) tryGeneratePlan(params []*commonpb.KeyValuePair, dsl string, ignoreOffset bool) (*planpb.PlanNode, *planpb.QueryInfo, int64, error) {
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annsFieldName, err := funcutil.GetAttrByKeyFromRepeatedKV(AnnsFieldKey, params)
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if err != nil || len(annsFieldName) == 0 {
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vecFields := typeutil.GetVectorFieldSchemas(t.schema.CollectionSchema)
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if len(vecFields) == 0 {
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return nil, nil, 0, errors.New(AnnsFieldKey + " not found in schema")
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}
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if enableMultipleVectorFields && len(vecFields) > 1 {
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return nil, nil, 0, errors.New("multiple anns_fields exist, please specify a anns_field in search_params")
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}
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annsFieldName = vecFields[0].Name
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}
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queryInfo, offset, parseErr := parseSearchInfo(params, t.schema.CollectionSchema, ignoreOffset)
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if parseErr != nil {
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return nil, nil, 0, parseErr
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}
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annField := typeutil.GetFieldByName(t.schema.CollectionSchema, annsFieldName)
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if queryInfo.GetGroupByFieldId() != -1 && annField.GetDataType() == schemapb.DataType_BinaryVector {
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return nil, nil, 0, errors.New("not support search_group_by operation based on binary vector column")
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}
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plan, planErr := planparserv2.CreateSearchPlan(t.schema.schemaHelper, dsl, annsFieldName, queryInfo)
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if planErr != nil {
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log.Warn("failed to create query plan", zap.Error(planErr),
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zap.String("dsl", dsl), // may be very large if large term passed.
|
|
zap.String("anns field", annsFieldName), zap.Any("query info", queryInfo))
|
|
return nil, nil, 0, merr.WrapErrParameterInvalidMsg("failed to create query plan: %v", planErr)
|
|
}
|
|
log.Debug("create query plan",
|
|
zap.String("dsl", t.request.Dsl), // may be very large if large term passed.
|
|
zap.String("anns field", annsFieldName), zap.Any("query info", queryInfo))
|
|
return plan, queryInfo, offset, nil
|
|
}
|
|
|
|
func (t *searchTask) tryParsePartitionIDsFromPlan(plan *planpb.PlanNode) ([]int64, error) {
|
|
expr, err := exprutil.ParseExprFromPlan(plan)
|
|
if err != nil {
|
|
log.Warn("failed to parse expr", zap.Error(err))
|
|
return nil, err
|
|
}
|
|
partitionKeys := exprutil.ParseKeys(expr, exprutil.PartitionKey)
|
|
hashedPartitionNames, err := assignPartitionKeys(t.ctx, t.request.GetDbName(), t.collectionName, partitionKeys)
|
|
if err != nil {
|
|
log.Warn("failed to assign partition keys", zap.Error(err))
|
|
return nil, err
|
|
}
|
|
|
|
if len(hashedPartitionNames) > 0 {
|
|
// translate partition name to partition ids. Use regex-pattern to match partition name.
|
|
PartitionIDs, err2 := getPartitionIDs(t.ctx, t.request.GetDbName(), t.collectionName, hashedPartitionNames)
|
|
if err2 != nil {
|
|
log.Warn("failed to get partition ids", zap.Error(err2))
|
|
return nil, err2
|
|
}
|
|
return PartitionIDs, nil
|
|
}
|
|
return nil, nil
|
|
}
|
|
|
|
func (t *searchTask) Execute(ctx context.Context) error {
|
|
ctx, sp := otel.Tracer(typeutil.ProxyRole).Start(ctx, "Proxy-Search-Execute")
|
|
defer sp.End()
|
|
log := log.Ctx(ctx).With(zap.Int64("nq", t.SearchRequest.GetNq()))
|
|
|
|
tr := timerecord.NewTimeRecorder(fmt.Sprintf("proxy execute search %d", t.ID()))
|
|
defer tr.CtxElapse(ctx, "done")
|
|
|
|
err := t.lb.Execute(ctx, CollectionWorkLoad{
|
|
db: t.request.GetDbName(),
|
|
collectionID: t.SearchRequest.CollectionID,
|
|
collectionName: t.collectionName,
|
|
nq: t.Nq,
|
|
exec: t.searchShard,
|
|
})
|
|
if err != nil {
|
|
log.Warn("search execute failed", zap.Error(err))
|
|
return errors.Wrap(err, "failed to search")
|
|
}
|
|
|
|
log.Debug("Search Execute done.",
|
|
zap.Int64("collection", t.GetCollectionID()),
|
|
zap.Int64s("partitionIDs", t.GetPartitionIDs()))
|
|
return nil
|
|
}
|
|
|
|
func (t *searchTask) reduceResults(ctx context.Context, toReduceResults []*internalpb.SearchResults, nq, topK int64, offset int64, queryInfo *planpb.QueryInfo) (*milvuspb.SearchResults, error) {
|
|
metricType := ""
|
|
if len(toReduceResults) >= 1 {
|
|
metricType = toReduceResults[0].GetMetricType()
|
|
}
|
|
|
|
// Decode all search results
|
|
validSearchResults, err := decodeSearchResults(ctx, toReduceResults)
|
|
if err != nil {
|
|
log.Warn("failed to decode search results", zap.Error(err))
|
|
return nil, err
|
|
}
|
|
|
|
if len(validSearchResults) <= 0 {
|
|
return fillInEmptyResult(nq), nil
|
|
}
|
|
|
|
// Reduce all search results
|
|
log.Debug("proxy search post execute reduce",
|
|
zap.Int64("collection", t.GetCollectionID()),
|
|
zap.Int64s("partitionIDs", t.GetPartitionIDs()),
|
|
zap.Int("number of valid search results", len(validSearchResults)))
|
|
primaryFieldSchema, err := t.schema.GetPkField()
|
|
if err != nil {
|
|
log.Warn("failed to get primary field schema", zap.Error(err))
|
|
return nil, err
|
|
}
|
|
var result *milvuspb.SearchResults
|
|
result, err = reduceSearchResult(ctx, NewReduceSearchResultInfo(validSearchResults, nq, topK,
|
|
metricType, primaryFieldSchema.DataType, offset, queryInfo))
|
|
if err != nil {
|
|
log.Warn("failed to reduce search results", zap.Error(err))
|
|
return nil, err
|
|
}
|
|
return result, nil
|
|
}
|
|
|
|
func (t *searchTask) PostExecute(ctx context.Context) error {
|
|
ctx, sp := otel.Tracer(typeutil.ProxyRole).Start(ctx, "Proxy-Search-PostExecute")
|
|
defer sp.End()
|
|
|
|
tr := timerecord.NewTimeRecorder("searchTask PostExecute")
|
|
defer func() {
|
|
tr.CtxElapse(ctx, "done")
|
|
}()
|
|
log := log.Ctx(ctx).With(zap.Int64("nq", t.SearchRequest.GetNq()))
|
|
|
|
toReduceResults, err := t.collectSearchResults(ctx)
|
|
if err != nil {
|
|
log.Warn("failed to collect search results", zap.Error(err))
|
|
return err
|
|
}
|
|
|
|
t.queryChannelsTs = make(map[string]uint64)
|
|
t.relatedDataSize = 0
|
|
for _, r := range toReduceResults {
|
|
t.relatedDataSize += r.GetCostAggregation().GetTotalRelatedDataSize()
|
|
for ch, ts := range r.GetChannelsMvcc() {
|
|
t.queryChannelsTs[ch] = ts
|
|
}
|
|
}
|
|
|
|
primaryFieldSchema, err := t.schema.GetPkField()
|
|
if err != nil {
|
|
log.Warn("failed to get primary field schema", zap.Error(err))
|
|
return err
|
|
}
|
|
|
|
if t.SearchRequest.GetIsAdvanced() {
|
|
multipleInternalResults := make([][]*internalpb.SearchResults, len(t.SearchRequest.GetSubReqs()))
|
|
for _, searchResult := range toReduceResults {
|
|
// if get a non-advanced result, skip all
|
|
if !searchResult.GetIsAdvanced() {
|
|
continue
|
|
}
|
|
for _, subResult := range searchResult.GetSubResults() {
|
|
// swallow copy
|
|
internalResults := &internalpb.SearchResults{
|
|
MetricType: subResult.GetMetricType(),
|
|
NumQueries: subResult.GetNumQueries(),
|
|
TopK: subResult.GetTopK(),
|
|
SlicedBlob: subResult.GetSlicedBlob(),
|
|
SlicedNumCount: subResult.GetSlicedNumCount(),
|
|
SlicedOffset: subResult.GetSlicedOffset(),
|
|
IsAdvanced: false,
|
|
}
|
|
reqIndex := subResult.GetReqIndex()
|
|
multipleInternalResults[reqIndex] = append(multipleInternalResults[reqIndex], internalResults)
|
|
}
|
|
}
|
|
|
|
multipleMilvusResults := make([]*milvuspb.SearchResults, len(t.SearchRequest.GetSubReqs()))
|
|
for index, internalResults := range multipleInternalResults {
|
|
subReq := t.SearchRequest.GetSubReqs()[index]
|
|
|
|
metricType := ""
|
|
if len(internalResults) >= 1 {
|
|
metricType = internalResults[0].GetMetricType()
|
|
}
|
|
result, err := t.reduceResults(t.ctx, internalResults, subReq.GetNq(), subReq.GetTopk(), subReq.GetOffset(), t.queryInfos[index])
|
|
if err != nil {
|
|
return err
|
|
}
|
|
t.reScorers[index].setMetricType(metricType)
|
|
t.reScorers[index].reScore(result)
|
|
multipleMilvusResults[index] = result
|
|
}
|
|
t.result, err = rankSearchResultData(ctx, t.SearchRequest.GetNq(),
|
|
t.rankParams,
|
|
primaryFieldSchema.GetDataType(),
|
|
multipleMilvusResults)
|
|
if err != nil {
|
|
log.Warn("rank search result failed", zap.Error(err))
|
|
return err
|
|
}
|
|
} else {
|
|
t.result, err = t.reduceResults(t.ctx, toReduceResults, t.SearchRequest.Nq, t.SearchRequest.GetTopk(), t.SearchRequest.GetOffset(), t.queryInfos[0])
|
|
if err != nil {
|
|
return err
|
|
}
|
|
}
|
|
|
|
t.result.CollectionName = t.collectionName
|
|
t.fillInFieldInfo()
|
|
|
|
if t.requery {
|
|
err = t.Requery()
|
|
if err != nil {
|
|
log.Warn("failed to requery", zap.Error(err))
|
|
return err
|
|
}
|
|
}
|
|
t.result.Results.OutputFields = t.userOutputFields
|
|
t.result.CollectionName = t.request.GetCollectionName()
|
|
|
|
metrics.ProxyReduceResultLatency.WithLabelValues(strconv.FormatInt(paramtable.GetNodeID(), 10), metrics.SearchLabel).Observe(float64(tr.RecordSpan().Milliseconds()))
|
|
|
|
log.Debug("Search post execute done",
|
|
zap.Int64("collection", t.GetCollectionID()),
|
|
zap.Int64s("partitionIDs", t.GetPartitionIDs()))
|
|
return nil
|
|
}
|
|
|
|
func (t *searchTask) searchShard(ctx context.Context, nodeID int64, qn types.QueryNodeClient, channel string) error {
|
|
searchReq := typeutil.Clone(t.SearchRequest)
|
|
searchReq.GetBase().TargetID = nodeID
|
|
req := &querypb.SearchRequest{
|
|
Req: searchReq,
|
|
DmlChannels: []string{channel},
|
|
Scope: querypb.DataScope_All,
|
|
TotalChannelNum: int32(1),
|
|
}
|
|
|
|
log := log.Ctx(ctx).With(zap.Int64("collection", t.GetCollectionID()),
|
|
zap.Int64s("partitionIDs", t.GetPartitionIDs()),
|
|
zap.Int64("nodeID", nodeID),
|
|
zap.String("channel", channel))
|
|
|
|
var result *internalpb.SearchResults
|
|
var err error
|
|
|
|
result, err = qn.Search(ctx, req)
|
|
if err != nil {
|
|
log.Warn("QueryNode search return error", zap.Error(err))
|
|
globalMetaCache.DeprecateShardCache(t.request.GetDbName(), t.collectionName)
|
|
return err
|
|
}
|
|
if result.GetStatus().GetErrorCode() == commonpb.ErrorCode_NotShardLeader {
|
|
log.Warn("QueryNode is not shardLeader")
|
|
globalMetaCache.DeprecateShardCache(t.request.GetDbName(), t.collectionName)
|
|
return errInvalidShardLeaders
|
|
}
|
|
if result.GetStatus().GetErrorCode() != commonpb.ErrorCode_Success {
|
|
log.Warn("QueryNode search result error",
|
|
zap.String("reason", result.GetStatus().GetReason()))
|
|
return errors.Wrapf(merr.Error(result.GetStatus()), "fail to search on QueryNode %d", nodeID)
|
|
}
|
|
if t.resultBuf != nil {
|
|
t.resultBuf.Insert(result)
|
|
}
|
|
t.lb.UpdateCostMetrics(nodeID, result.CostAggregation)
|
|
|
|
return nil
|
|
}
|
|
|
|
func (t *searchTask) estimateResultSize(nq int64, topK int64) (int64, error) {
|
|
vectorOutputFields := lo.Filter(t.schema.GetFields(), func(field *schemapb.FieldSchema, _ int) bool {
|
|
return lo.Contains(t.request.GetOutputFields(), field.GetName()) && typeutil.IsVectorType(field.GetDataType())
|
|
})
|
|
// Currently, we get vectors by requery. Once we support getting vectors from search,
|
|
// searches with small result size could no longer need requery.
|
|
if len(vectorOutputFields) > 0 {
|
|
return math.MaxInt64, nil
|
|
}
|
|
// If no vector field as output, no need to requery.
|
|
return 0, nil
|
|
|
|
//outputFields := lo.Filter(t.schema.GetFields(), func(field *schemapb.FieldSchema, _ int) bool {
|
|
// return lo.Contains(t.request.GetOutputFields(), field.GetName())
|
|
//})
|
|
//sizePerRecord, err := typeutil.EstimateSizePerRecord(&schemapb.CollectionSchema{Fields: outputFields})
|
|
//if err != nil {
|
|
// return 0, err
|
|
//}
|
|
//return int64(sizePerRecord) * nq * topK, nil
|
|
}
|
|
|
|
func (t *searchTask) Requery() error {
|
|
queryReq := &milvuspb.QueryRequest{
|
|
Base: &commonpb.MsgBase{
|
|
MsgType: commonpb.MsgType_Retrieve,
|
|
Timestamp: t.BeginTs(),
|
|
},
|
|
DbName: t.request.GetDbName(),
|
|
CollectionName: t.request.GetCollectionName(),
|
|
ConsistencyLevel: t.SearchRequest.GetConsistencyLevel(),
|
|
NotReturnAllMeta: t.request.GetNotReturnAllMeta(),
|
|
Expr: "",
|
|
OutputFields: t.request.GetOutputFields(),
|
|
PartitionNames: t.request.GetPartitionNames(),
|
|
UseDefaultConsistency: false,
|
|
GuaranteeTimestamp: t.SearchRequest.GuaranteeTimestamp,
|
|
}
|
|
|
|
if t.SearchRequest.GetIsAdvanced() {
|
|
queryReq.QueryParams = []*commonpb.KeyValuePair{
|
|
{
|
|
Key: LimitKey,
|
|
Value: strconv.FormatInt(t.rankParams.limit, 10),
|
|
},
|
|
}
|
|
} else {
|
|
queryReq.QueryParams = t.request.GetSearchParams()
|
|
}
|
|
return doRequery(t.ctx, t.GetCollectionID(), t.node, t.schema.CollectionSchema, queryReq, t.result, t.queryChannelsTs, t.GetPartitionIDs())
|
|
}
|
|
|
|
func (t *searchTask) fillInFieldInfo() {
|
|
if len(t.request.OutputFields) != 0 && len(t.result.Results.FieldsData) != 0 {
|
|
for i, name := range t.request.OutputFields {
|
|
for _, field := range t.schema.Fields {
|
|
if t.result.Results.FieldsData[i] != nil && field.Name == name {
|
|
t.result.Results.FieldsData[i].FieldName = field.Name
|
|
t.result.Results.FieldsData[i].FieldId = field.FieldID
|
|
t.result.Results.FieldsData[i].Type = field.DataType
|
|
t.result.Results.FieldsData[i].IsDynamic = field.IsDynamic
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
func (t *searchTask) collectSearchResults(ctx context.Context) ([]*internalpb.SearchResults, error) {
|
|
select {
|
|
case <-t.TraceCtx().Done():
|
|
log.Ctx(ctx).Warn("search task wait to finish timeout!")
|
|
return nil, fmt.Errorf("search task wait to finish timeout, msgID=%d", t.ID())
|
|
default:
|
|
toReduceResults := make([]*internalpb.SearchResults, 0)
|
|
log.Ctx(ctx).Debug("all searches are finished or canceled")
|
|
t.resultBuf.Range(func(res *internalpb.SearchResults) bool {
|
|
toReduceResults = append(toReduceResults, res)
|
|
log.Ctx(ctx).Debug("proxy receives one search result",
|
|
zap.Int64("sourceID", res.GetBase().GetSourceID()))
|
|
return true
|
|
})
|
|
return toReduceResults, nil
|
|
}
|
|
}
|
|
|
|
func doRequery(ctx context.Context,
|
|
collectionID int64,
|
|
node types.ProxyComponent,
|
|
schema *schemapb.CollectionSchema,
|
|
request *milvuspb.QueryRequest,
|
|
result *milvuspb.SearchResults,
|
|
queryChannelsTs map[string]Timestamp,
|
|
partitionIDs []int64,
|
|
) error {
|
|
outputFields := request.GetOutputFields()
|
|
pkField, err := typeutil.GetPrimaryFieldSchema(schema)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
ids := result.GetResults().GetIds()
|
|
plan := planparserv2.CreateRequeryPlan(pkField, ids)
|
|
channelsMvcc := make(map[string]Timestamp)
|
|
for k, v := range queryChannelsTs {
|
|
channelsMvcc[k] = v
|
|
}
|
|
qt := &queryTask{
|
|
ctx: ctx,
|
|
Condition: NewTaskCondition(ctx),
|
|
RetrieveRequest: &internalpb.RetrieveRequest{
|
|
Base: commonpbutil.NewMsgBase(
|
|
commonpbutil.WithMsgType(commonpb.MsgType_Retrieve),
|
|
commonpbutil.WithSourceID(paramtable.GetNodeID()),
|
|
),
|
|
ReqID: paramtable.GetNodeID(),
|
|
PartitionIDs: partitionIDs, // use search partitionIDs
|
|
},
|
|
request: request,
|
|
plan: plan,
|
|
qc: node.(*Proxy).queryCoord,
|
|
lb: node.(*Proxy).lbPolicy,
|
|
channelsMvcc: channelsMvcc,
|
|
fastSkip: true,
|
|
reQuery: true,
|
|
}
|
|
queryResult, err := node.(*Proxy).query(ctx, qt)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
if queryResult.GetStatus().GetErrorCode() != commonpb.ErrorCode_Success {
|
|
return merr.Error(queryResult.GetStatus())
|
|
}
|
|
// Reorganize Results. The order of query result ids will be altered and differ from queried ids.
|
|
// We should reorganize query results to keep the order of original queried ids. For example:
|
|
// ===========================================
|
|
// 3 2 5 4 1 (query ids)
|
|
// ||
|
|
// || (query)
|
|
// \/
|
|
// 4 3 5 1 2 (result ids)
|
|
// v4 v3 v5 v1 v2 (result vectors)
|
|
// ||
|
|
// || (reorganize)
|
|
// \/
|
|
// 3 2 5 4 1 (result ids)
|
|
// v3 v2 v5 v4 v1 (result vectors)
|
|
// ===========================================
|
|
pkFieldData, err := typeutil.GetPrimaryFieldData(queryResult.GetFieldsData(), pkField)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
offsets := make(map[any]int)
|
|
for i := 0; i < typeutil.GetPKSize(pkFieldData); i++ {
|
|
pk := typeutil.GetData(pkFieldData, i)
|
|
offsets[pk] = i
|
|
}
|
|
|
|
result.Results.FieldsData = make([]*schemapb.FieldData, len(queryResult.GetFieldsData()))
|
|
for i := 0; i < typeutil.GetSizeOfIDs(ids); i++ {
|
|
id := typeutil.GetPK(ids, int64(i))
|
|
if _, ok := offsets[id]; !ok {
|
|
return merr.WrapErrInconsistentRequery(fmt.Sprintf("incomplete query result, missing id %s, len(searchIDs) = %d, len(queryIDs) = %d, collection=%d",
|
|
id, typeutil.GetSizeOfIDs(ids), len(offsets), collectionID))
|
|
}
|
|
typeutil.AppendFieldData(result.Results.FieldsData, queryResult.GetFieldsData(), int64(offsets[id]))
|
|
}
|
|
|
|
// filter id field out if it is not specified as output
|
|
result.Results.FieldsData = lo.Filter(result.Results.FieldsData, func(fieldData *schemapb.FieldData, i int) bool {
|
|
return lo.Contains(outputFields, fieldData.GetFieldName())
|
|
})
|
|
|
|
return nil
|
|
}
|
|
|
|
func decodeSearchResults(ctx context.Context, searchResults []*internalpb.SearchResults) ([]*schemapb.SearchResultData, error) {
|
|
tr := timerecord.NewTimeRecorder("decodeSearchResults")
|
|
results := make([]*schemapb.SearchResultData, 0)
|
|
for _, partialSearchResult := range searchResults {
|
|
if partialSearchResult.SlicedBlob == nil {
|
|
continue
|
|
}
|
|
|
|
var partialResultData schemapb.SearchResultData
|
|
err := proto.Unmarshal(partialSearchResult.SlicedBlob, &partialResultData)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
results = append(results, &partialResultData)
|
|
}
|
|
tr.CtxElapse(ctx, "decodeSearchResults done")
|
|
return results, nil
|
|
}
|
|
|
|
func checkSearchResultData(data *schemapb.SearchResultData, nq int64, topk int64) error {
|
|
if data.NumQueries != nq {
|
|
return fmt.Errorf("search result's nq(%d) mis-match with %d", data.NumQueries, nq)
|
|
}
|
|
if data.TopK != topk {
|
|
return fmt.Errorf("search result's topk(%d) mis-match with %d", data.TopK, topk)
|
|
}
|
|
|
|
pkHitNum := typeutil.GetSizeOfIDs(data.GetIds())
|
|
if len(data.Scores) != pkHitNum {
|
|
return fmt.Errorf("search result's score length invalid, score length=%d, expectedLength=%d",
|
|
len(data.Scores), pkHitNum)
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func selectHighestScoreIndex(subSearchResultData []*schemapb.SearchResultData, subSearchNqOffset [][]int64, cursors []int64, qi int64) (int, int64) {
|
|
var (
|
|
subSearchIdx = -1
|
|
resultDataIdx int64 = -1
|
|
)
|
|
maxScore := minFloat32
|
|
for i := range cursors {
|
|
if cursors[i] >= subSearchResultData[i].Topks[qi] {
|
|
continue
|
|
}
|
|
sIdx := subSearchNqOffset[i][qi] + cursors[i]
|
|
sScore := subSearchResultData[i].Scores[sIdx]
|
|
|
|
// Choose the larger score idx or the smaller pk idx with the same score
|
|
if subSearchIdx == -1 || sScore > maxScore {
|
|
subSearchIdx = i
|
|
resultDataIdx = sIdx
|
|
maxScore = sScore
|
|
} else if sScore == maxScore {
|
|
if subSearchIdx == -1 {
|
|
// A bad case happens where Knowhere returns distance/score == +/-maxFloat32
|
|
// by mistake.
|
|
log.Error("a bad score is returned, something is wrong here!", zap.Float32("score", sScore))
|
|
} else if typeutil.ComparePK(
|
|
typeutil.GetPK(subSearchResultData[i].GetIds(), sIdx),
|
|
typeutil.GetPK(subSearchResultData[subSearchIdx].GetIds(), resultDataIdx)) {
|
|
subSearchIdx = i
|
|
resultDataIdx = sIdx
|
|
maxScore = sScore
|
|
}
|
|
}
|
|
}
|
|
return subSearchIdx, resultDataIdx
|
|
}
|
|
|
|
type rangeSearchParams struct {
|
|
radius float64
|
|
rangeFilter float64
|
|
}
|
|
|
|
func checkRangeSearchParams(str string, metricType string) error {
|
|
if len(str) == 0 {
|
|
// no search params, no need to check
|
|
return nil
|
|
}
|
|
var data map[string]*json.RawMessage
|
|
err := json.Unmarshal([]byte(str), &data)
|
|
if err != nil {
|
|
log.Info("json Unmarshal fail when checkRangeSearchParams")
|
|
return err
|
|
}
|
|
radius, ok := data[radiusKey]
|
|
// will not do range search, no need to check
|
|
if !ok {
|
|
return nil
|
|
}
|
|
if radius == nil {
|
|
return merr.WrapErrParameterInvalidMsg("pass invalid type for radius")
|
|
}
|
|
var params rangeSearchParams
|
|
err = json.Unmarshal(*radius, ¶ms.radius)
|
|
if err != nil {
|
|
return merr.WrapErrParameterInvalidMsg("must pass numpy type for radius")
|
|
}
|
|
|
|
rangeFilter, ok := data[rangeFilterKey]
|
|
// not pass range_filter, no need to check
|
|
if !ok {
|
|
return nil
|
|
}
|
|
|
|
if rangeFilter == nil {
|
|
return merr.WrapErrParameterInvalidMsg("pass invalid type for range_filter")
|
|
}
|
|
err = json.Unmarshal(*rangeFilter, ¶ms.rangeFilter)
|
|
if err != nil {
|
|
return merr.WrapErrParameterInvalidMsg("must pass numpy type for range_filter")
|
|
}
|
|
|
|
if metric.PositivelyRelated(metricType) {
|
|
if params.radius >= params.rangeFilter {
|
|
msg := fmt.Sprintf("metric type '%s', range_filter(%f) must be greater than radius(%f)", metricType, params.rangeFilter, params.radius)
|
|
return merr.WrapErrParameterInvalidMsg(msg)
|
|
}
|
|
} else {
|
|
if params.radius <= params.rangeFilter {
|
|
msg := fmt.Sprintf("metric type '%s', range_filter(%f) must be less than radius(%f)", metricType, params.rangeFilter, params.radius)
|
|
return merr.WrapErrParameterInvalidMsg(msg)
|
|
}
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func (t *searchTask) TraceCtx() context.Context {
|
|
return t.ctx
|
|
}
|
|
|
|
func (t *searchTask) ID() UniqueID {
|
|
return t.Base.MsgID
|
|
}
|
|
|
|
func (t *searchTask) SetID(uid UniqueID) {
|
|
t.Base.MsgID = uid
|
|
}
|
|
|
|
func (t *searchTask) Name() string {
|
|
return SearchTaskName
|
|
}
|
|
|
|
func (t *searchTask) Type() commonpb.MsgType {
|
|
return t.Base.MsgType
|
|
}
|
|
|
|
func (t *searchTask) BeginTs() Timestamp {
|
|
return t.Base.Timestamp
|
|
}
|
|
|
|
func (t *searchTask) EndTs() Timestamp {
|
|
return t.Base.Timestamp
|
|
}
|
|
|
|
func (t *searchTask) SetTs(ts Timestamp) {
|
|
t.Base.Timestamp = ts
|
|
}
|
|
|
|
func (t *searchTask) OnEnqueue() error {
|
|
t.Base = commonpbutil.NewMsgBase()
|
|
t.Base.MsgType = commonpb.MsgType_Search
|
|
t.Base.SourceID = paramtable.GetNodeID()
|
|
return nil
|
|
}
|