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This commit is contained in:
217
index/scorch/snapshot_index_vr.go
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217
index/scorch/snapshot_index_vr.go
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@@ -0,0 +1,217 @@
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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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"encoding/json"
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"fmt"
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"reflect"
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"sort"
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"sync/atomic"
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"github.com/blevesearch/bleve/v2/size"
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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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const VectorSearchSupportedSegmentVersion = 16
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var reflectStaticSizeIndexSnapshotVectorReader int
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func init() {
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var istfr IndexSnapshotVectorReader
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reflectStaticSizeIndexSnapshotVectorReader = int(reflect.TypeOf(istfr).Size())
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}
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type IndexSnapshotVectorReader struct {
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vector []float32
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field string
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k int64
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snapshot *IndexSnapshot
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postings []segment_api.VecPostingsList
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iterators []segment_api.VecPostingsIterator
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segmentOffset int
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currPosting segment_api.VecPosting
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currID index.IndexInternalID
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ctx context.Context
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searchParams json.RawMessage
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eligibleSelector index.EligibleDocumentSelector
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}
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func (i *IndexSnapshotVectorReader) Size() int {
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sizeInBytes := reflectStaticSizeIndexSnapshotVectorReader + size.SizeOfPtr +
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len(i.vector)*size.SizeOfFloat32 +
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len(i.field) +
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len(i.currID)
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for _, entry := range i.postings {
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sizeInBytes += entry.Size()
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}
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for _, entry := range i.iterators {
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sizeInBytes += entry.Size()
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}
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if i.currPosting != nil {
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sizeInBytes += i.currPosting.Size()
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}
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return sizeInBytes
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}
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func (i *IndexSnapshotVectorReader) Next(preAlloced *index.VectorDoc) (
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*index.VectorDoc, error) {
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rv := preAlloced
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if rv == nil {
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rv = &index.VectorDoc{}
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}
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for i.segmentOffset < len(i.iterators) {
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if i.iterators[i.segmentOffset] == nil {
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i.segmentOffset++
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continue
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}
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next, err := i.iterators[i.segmentOffset].Next()
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if err != nil {
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return nil, err
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}
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if next != nil {
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// make segment number into global number by adding offset
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globalOffset := i.snapshot.offsets[i.segmentOffset]
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nnum := next.Number()
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rv.ID = index.NewIndexInternalID(rv.ID, nnum+globalOffset)
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rv.Score = float64(next.Score())
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i.currID = rv.ID
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i.currPosting = next
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return rv, nil
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}
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i.segmentOffset++
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}
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return nil, nil
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}
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func (i *IndexSnapshotVectorReader) Advance(ID index.IndexInternalID,
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preAlloced *index.VectorDoc) (*index.VectorDoc, error) {
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if i.currPosting != nil && i.currID.Compare(ID) >= 0 {
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i2, err := i.snapshot.VectorReader(i.ctx, i.vector, i.field, i.k,
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i.searchParams, i.eligibleSelector)
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if err != nil {
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return nil, err
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}
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// close the current term field reader before replacing it with a new one
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_ = i.Close()
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*i = *(i2.(*IndexSnapshotVectorReader))
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}
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num := ID.Value()
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segIndex, ldocNum := i.snapshot.segmentIndexAndLocalDocNumFromGlobal(num)
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if segIndex >= len(i.snapshot.segment) {
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return nil, fmt.Errorf("computed segment index %d out of bounds %d",
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segIndex, len(i.snapshot.segment))
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}
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// skip directly to the target segment
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i.segmentOffset = segIndex
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next, err := i.iterators[i.segmentOffset].Advance(ldocNum)
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if err != nil {
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return nil, err
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}
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if next == nil {
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// we jumped directly to the segment that should have contained it
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// but it wasn't there, so reuse Next() which should correctly
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// get the next hit after it (we moved i.segmentOffset)
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return i.Next(preAlloced)
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}
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if preAlloced == nil {
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preAlloced = &index.VectorDoc{}
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}
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preAlloced.ID = index.NewIndexInternalID(preAlloced.ID, next.Number()+
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i.snapshot.offsets[segIndex])
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i.currID = preAlloced.ID
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i.currPosting = next
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return preAlloced, nil
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}
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func (i *IndexSnapshotVectorReader) Count() uint64 {
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var rv uint64
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for _, posting := range i.postings {
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rv += posting.Count()
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}
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return rv
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}
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func (i *IndexSnapshotVectorReader) Close() error {
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if i.snapshot != nil {
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atomic.AddUint64(&i.snapshot.parent.stats.TotKNNSearches, 1)
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}
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return nil
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}
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func (i *IndexSnapshot) CentroidCardinalities(field string, limit int, descending bool) (
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[]index.CentroidCardinality, error) {
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if len(i.segment) == 0 {
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return nil, nil
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}
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if limit <= 0 {
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return nil, fmt.Errorf("limit must be positive")
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}
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centroids := make([]index.CentroidCardinality, 0, limit*len(i.segment))
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for _, segment := range i.segment {
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if sv, ok := segment.segment.(segment_api.VectorSegment); ok {
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vecIndex, err := sv.InterpretVectorIndex(field, segment.deleted)
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if err != nil {
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return nil, fmt.Errorf("failed to interpret vector index for field %s in segment: %v", field, err)
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}
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centroidCardinalities, err := vecIndex.ObtainKCentroidCardinalitiesFromIVFIndex(limit, descending)
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if err != nil {
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return nil, fmt.Errorf("failed to obtain top k centroid cardinalities for field %s in segment: %v", field, err)
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}
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if len(centroidCardinalities) > 0 {
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centroids = append(centroids, centroidCardinalities...)
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}
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}
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}
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if len(centroids) == 0 {
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return nil, nil
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}
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sort.Slice(centroids, func(i, j int) bool {
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if descending {
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return centroids[i].Cardinality > centroids[j].Cardinality
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}
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return centroids[i].Cardinality < centroids[j].Cardinality
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})
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if limit >= len(centroids) {
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return centroids, nil
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}
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return centroids[:limit], nil
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}
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