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This commit is contained in:
207
index/scorch/optimize_knn.go
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207
index/scorch/optimize_knn.go
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@@ -0,0 +1,207 @@
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// Copyright (c) 2023 Couchbase, Inc.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// 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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//go:build vectors
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// +build vectors
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package scorch
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import (
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"context"
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"fmt"
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"sync"
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"github.com/blevesearch/bleve/v2/search"
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index "github.com/blevesearch/bleve_index_api"
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segment_api "github.com/blevesearch/scorch_segment_api/v2"
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)
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type OptimizeVR struct {
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ctx context.Context
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snapshot *IndexSnapshot
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totalCost uint64
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// maps field to vector readers
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vrs map[string][]*IndexSnapshotVectorReader
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}
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func (o *OptimizeVR) invokeSearcherEndCallback() {
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if o.ctx != nil {
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if cb := o.ctx.Value(search.SearcherEndCallbackKey); cb != nil {
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if cbF, ok := cb.(search.SearcherEndCallbackFn); ok {
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if o.totalCost > 0 {
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// notify the callback that the searcher creation etc. is finished
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// and report back the total cost for it to track and take actions
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// appropriately.
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_ = cbF(o.totalCost)
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}
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}
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}
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}
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}
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// search runs the configured kNN searches for every vector
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// reader against a single segment, populating the per-segment postings and
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// iterators on each reader.
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func (o *OptimizeVR) search(segID int) error {
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snapshot := o.snapshot.segment[segID]
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vecSeg, ok := snapshot.segment.(segment_api.VectorSegment)
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if !ok {
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return nil
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}
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meta := snapshot.cachedMeta
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// for each field, get the vector index --> invoke the zap func.
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// for each VR, populate postings list and iterators
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// by passing the obtained vector index and getting similar vectors.
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for field, vrs := range o.vrs {
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// Early exit if the field is supposed to be completely deleted or
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// if it's index data has been deleted
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if info, ok := o.snapshot.updatedFields[field]; ok && (info.Deleted || info.Index) {
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continue
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}
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vecIndex, err := vecSeg.InterpretVectorIndex(field, snapshot.deleted)
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if err != nil {
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return err
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}
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// update the vector index size as a meta value in the segment snapshot
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// if not already present
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if !meta.contains(field) {
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meta.store(field, vecIndex.Size())
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}
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for _, vr := range vrs {
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var pl segment_api.VecPostingsList
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var err error
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// for each VR, populate postings list and iterators
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// by passing the obtained vector index and getting similar vectors.
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// check if the vector reader is configured to use a pre-filter
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// to filter out ineligible documents before performing
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// kNN search.
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if vr.eligibleSelector != nil {
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pl, err = vecIndex.SearchWithFilter(
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vr.vector,
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vr.k,
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vr.eligibleSelector.SegmentEligibleDocuments(segID),
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vr.searchParams,
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)
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} else {
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pl, err = vecIndex.Search(
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vr.vector,
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vr.k,
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vr.searchParams,
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)
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}
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if err != nil {
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vecIndex.Close()
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return err
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}
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// postings and iterators are already alloc'ed when
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// IndexSnapshotVectorReader is created, here we are just
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// populating them with the obtained postings list.
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vr.postings[segID] = pl
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vr.iterators[segID] = pl.Iterator(vr.iterators[segID])
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}
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go vecIndex.Close()
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}
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return nil
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}
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func (o *OptimizeVR) Finish() error {
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defer o.invokeSearcherEndCallback()
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numSegments := len(o.snapshot.segment)
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var wg sync.WaitGroup
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wg.Add(numSegments)
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var errM sync.Mutex
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var searchErr error
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// launch goroutines to search the vector index for each segment
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for i := 0; i < numSegments; i++ {
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go func(segID int) {
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defer wg.Done()
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if err := o.search(segID); err != nil {
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errM.Lock()
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searchErr = err
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errM.Unlock()
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}
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}(i)
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}
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// wait until all the launched goroutines finish and collect errors if any
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wg.Wait()
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return searchErr
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}
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func (s *IndexSnapshotVectorReader) VectorOptimize(ctx context.Context,
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octx index.VectorOptimizableContext,
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) (index.VectorOptimizableContext, error) {
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if s.snapshot.parent.segPlugin.Version() < VectorSearchSupportedSegmentVersion {
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return nil, fmt.Errorf("vector search not supported for this index, "+
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"index's segment version %v, supported segment version for vector search %v",
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s.snapshot.parent.segPlugin.Version(), VectorSearchSupportedSegmentVersion)
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}
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if octx == nil {
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octx = &OptimizeVR{
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snapshot: s.snapshot,
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vrs: make(map[string][]*IndexSnapshotVectorReader),
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}
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}
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o, ok := octx.(*OptimizeVR)
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if !ok {
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return octx, nil
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}
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o.ctx = ctx
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if o.snapshot != s.snapshot {
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o.invokeSearcherEndCallback()
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return nil, fmt.Errorf("tried to optimize KNN across different snapshots")
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}
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// for every searcher creation, consult the segment snapshot to see
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// what's the vector index size and since you're anyways going
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// to use this vector index to perform the search etc. as part of the Finish()
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// perform a check as to whether we allow the searcher creation (the downstream)
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// Finish() logic to even occur or not.
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var sumVectorIndexSize uint64
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for _, seg := range o.snapshot.segment {
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if vecIndexSize, ok := seg.cachedMeta.load(s.field); ok {
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sumVectorIndexSize += vecIndexSize.(uint64)
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}
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}
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if o.ctx != nil {
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if cb := o.ctx.Value(search.SearcherStartCallbackKey); cb != nil {
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if cbF, ok := cb.(search.SearcherStartCallbackFn); ok {
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err := cbF(sumVectorIndexSize)
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if err != nil {
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// it's important to invoke the end callback at this point since
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// if the earlier searchers of this optimize struct were successful
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// the cost corresponding to it would be incremented and if the
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// current searcher fails the check then we end up erroring out
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// the overall optimized searcher creation, the cost needs to be
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// handled appropriately.
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o.invokeSearcherEndCallback()
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return nil, err
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}
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}
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}
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}
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// total cost is essentially the sum of the vector indexes' size across all the
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// searchers - all of them end up reading and maintaining a vector index.
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// misacconting this value would end up calling the "end" callback with a value
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// not equal to the value passed to "start" callback.
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o.totalCost += sumVectorIndexSize
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o.vrs[s.field] = append(o.vrs[s.field], s)
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return o, nil
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}
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