mirror of
https://github.com/go-gitea/gitea
synced 2024-12-21 03:04:01 +01:00
856 lines
22 KiB
Go
Vendored
856 lines
22 KiB
Go
Vendored
// Copyright (c) 2017 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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package zap
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import (
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"bufio"
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"bytes"
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"encoding/binary"
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"fmt"
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"math"
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"os"
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"sort"
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"github.com/RoaringBitmap/roaring"
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seg "github.com/blevesearch/scorch_segment_api/v2"
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"github.com/blevesearch/vellum"
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"github.com/golang/snappy"
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)
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var DefaultFileMergerBufferSize = 1024 * 1024
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const docDropped = math.MaxUint64 // sentinel docNum to represent a deleted doc
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// Merge takes a slice of segments and bit masks describing which
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// documents may be dropped, and creates a new segment containing the
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// remaining data. This new segment is built at the specified path.
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func (*ZapPlugin) Merge(segments []seg.Segment, drops []*roaring.Bitmap, path string,
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closeCh chan struct{}, s seg.StatsReporter) (
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[][]uint64, uint64, error) {
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segmentBases := make([]*SegmentBase, len(segments))
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for segmenti, segment := range segments {
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switch segmentx := segment.(type) {
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case *Segment:
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segmentBases[segmenti] = &segmentx.SegmentBase
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case *SegmentBase:
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segmentBases[segmenti] = segmentx
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default:
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panic(fmt.Sprintf("oops, unexpected segment type: %T", segment))
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}
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}
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return mergeSegmentBases(segmentBases, drops, path, defaultChunkFactor, closeCh, s)
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}
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func mergeSegmentBases(segmentBases []*SegmentBase, drops []*roaring.Bitmap, path string,
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chunkFactor uint32, closeCh chan struct{}, s seg.StatsReporter) (
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[][]uint64, uint64, error) {
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flag := os.O_RDWR | os.O_CREATE
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f, err := os.OpenFile(path, flag, 0600)
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if err != nil {
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return nil, 0, err
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}
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cleanup := func() {
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_ = f.Close()
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_ = os.Remove(path)
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}
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// buffer the output
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br := bufio.NewWriterSize(f, DefaultFileMergerBufferSize)
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// wrap it for counting (tracking offsets)
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cr := NewCountHashWriterWithStatsReporter(br, s)
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newDocNums, numDocs, storedIndexOffset, fieldsIndexOffset, docValueOffset, _, _, _, err :=
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MergeToWriter(segmentBases, drops, chunkFactor, cr, closeCh)
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if err != nil {
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cleanup()
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return nil, 0, err
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}
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err = persistFooter(numDocs, storedIndexOffset, fieldsIndexOffset,
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docValueOffset, chunkFactor, cr.Sum32(), cr)
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if err != nil {
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cleanup()
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return nil, 0, err
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}
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err = br.Flush()
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if err != nil {
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cleanup()
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return nil, 0, err
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}
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err = f.Sync()
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if err != nil {
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cleanup()
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return nil, 0, err
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}
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err = f.Close()
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if err != nil {
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cleanup()
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return nil, 0, err
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}
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return newDocNums, uint64(cr.Count()), nil
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}
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func MergeToWriter(segments []*SegmentBase, drops []*roaring.Bitmap,
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chunkFactor uint32, cr *CountHashWriter, closeCh chan struct{}) (
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newDocNums [][]uint64,
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numDocs, storedIndexOffset, fieldsIndexOffset, docValueOffset uint64,
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dictLocs []uint64, fieldsInv []string, fieldsMap map[string]uint16,
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err error) {
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docValueOffset = uint64(fieldNotUninverted)
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var fieldsSame bool
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fieldsSame, fieldsInv = mergeFields(segments)
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fieldsMap = mapFields(fieldsInv)
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numDocs = computeNewDocCount(segments, drops)
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if isClosed(closeCh) {
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return nil, 0, 0, 0, 0, nil, nil, nil, seg.ErrClosed
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}
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if numDocs > 0 {
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storedIndexOffset, newDocNums, err = mergeStoredAndRemap(segments, drops,
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fieldsMap, fieldsInv, fieldsSame, numDocs, cr, closeCh)
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if err != nil {
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return nil, 0, 0, 0, 0, nil, nil, nil, err
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}
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dictLocs, docValueOffset, err = persistMergedRest(segments, drops,
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fieldsInv, fieldsMap, fieldsSame,
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newDocNums, numDocs, chunkFactor, cr, closeCh)
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if err != nil {
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return nil, 0, 0, 0, 0, nil, nil, nil, err
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}
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} else {
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dictLocs = make([]uint64, len(fieldsInv))
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}
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fieldsIndexOffset, err = persistFields(fieldsInv, cr, dictLocs)
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if err != nil {
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return nil, 0, 0, 0, 0, nil, nil, nil, err
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}
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return newDocNums, numDocs, storedIndexOffset, fieldsIndexOffset, docValueOffset, dictLocs, fieldsInv, fieldsMap, nil
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}
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// mapFields takes the fieldsInv list and returns a map of fieldName
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// to fieldID+1
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func mapFields(fields []string) map[string]uint16 {
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rv := make(map[string]uint16, len(fields))
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for i, fieldName := range fields {
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rv[fieldName] = uint16(i) + 1
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}
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return rv
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}
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// computeNewDocCount determines how many documents will be in the newly
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// merged segment when obsoleted docs are dropped
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func computeNewDocCount(segments []*SegmentBase, drops []*roaring.Bitmap) uint64 {
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var newDocCount uint64
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for segI, segment := range segments {
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newDocCount += segment.numDocs
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if drops[segI] != nil {
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newDocCount -= drops[segI].GetCardinality()
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}
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}
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return newDocCount
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}
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func persistMergedRest(segments []*SegmentBase, dropsIn []*roaring.Bitmap,
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fieldsInv []string, fieldsMap map[string]uint16, fieldsSame bool,
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newDocNumsIn [][]uint64, newSegDocCount uint64, chunkFactor uint32,
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w *CountHashWriter, closeCh chan struct{}) ([]uint64, uint64, error) {
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var bufMaxVarintLen64 []byte = make([]byte, binary.MaxVarintLen64)
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var bufLoc []uint64
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var postings *PostingsList
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var postItr *PostingsIterator
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rv := make([]uint64, len(fieldsInv))
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fieldDvLocsStart := make([]uint64, len(fieldsInv))
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fieldDvLocsEnd := make([]uint64, len(fieldsInv))
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tfEncoder := newChunkedIntCoder(uint64(chunkFactor), newSegDocCount-1)
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locEncoder := newChunkedIntCoder(uint64(chunkFactor), newSegDocCount-1)
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var vellumBuf bytes.Buffer
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newVellum, err := vellum.New(&vellumBuf, nil)
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if err != nil {
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return nil, 0, err
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}
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newRoaring := roaring.NewBitmap()
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// for each field
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for fieldID, fieldName := range fieldsInv {
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// collect FST iterators from all active segments for this field
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var newDocNums [][]uint64
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var drops []*roaring.Bitmap
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var dicts []*Dictionary
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var itrs []vellum.Iterator
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var segmentsInFocus []*SegmentBase
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for segmentI, segment := range segments {
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// check for the closure in meantime
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if isClosed(closeCh) {
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return nil, 0, seg.ErrClosed
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}
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dict, err2 := segment.dictionary(fieldName)
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if err2 != nil {
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return nil, 0, err2
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}
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if dict != nil && dict.fst != nil {
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itr, err2 := dict.fst.Iterator(nil, nil)
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if err2 != nil && err2 != vellum.ErrIteratorDone {
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return nil, 0, err2
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}
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if itr != nil {
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newDocNums = append(newDocNums, newDocNumsIn[segmentI])
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if dropsIn[segmentI] != nil && !dropsIn[segmentI].IsEmpty() {
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drops = append(drops, dropsIn[segmentI])
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} else {
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drops = append(drops, nil)
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}
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dicts = append(dicts, dict)
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itrs = append(itrs, itr)
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segmentsInFocus = append(segmentsInFocus, segment)
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}
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}
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}
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var prevTerm []byte
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newRoaring.Clear()
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var lastDocNum, lastFreq, lastNorm uint64
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// determines whether to use "1-hit" encoding optimization
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// when a term appears in only 1 doc, with no loc info,
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// has freq of 1, and the docNum fits into 31-bits
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use1HitEncoding := func(termCardinality uint64) (bool, uint64, uint64) {
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if termCardinality == uint64(1) && locEncoder.FinalSize() <= 0 {
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docNum := uint64(newRoaring.Minimum())
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if under32Bits(docNum) && docNum == lastDocNum && lastFreq == 1 {
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return true, docNum, lastNorm
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}
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}
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return false, 0, 0
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}
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finishTerm := func(term []byte) error {
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tfEncoder.Close()
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locEncoder.Close()
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postingsOffset, err := writePostings(newRoaring,
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tfEncoder, locEncoder, use1HitEncoding, w, bufMaxVarintLen64)
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if err != nil {
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return err
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}
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if postingsOffset > 0 {
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err = newVellum.Insert(term, postingsOffset)
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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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newRoaring.Clear()
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tfEncoder.Reset()
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locEncoder.Reset()
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lastDocNum = 0
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lastFreq = 0
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lastNorm = 0
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return nil
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}
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enumerator, err := newEnumerator(itrs)
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for err == nil {
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term, itrI, postingsOffset := enumerator.Current()
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if !bytes.Equal(prevTerm, term) {
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// check for the closure in meantime
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if isClosed(closeCh) {
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return nil, 0, seg.ErrClosed
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}
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// if the term changed, write out the info collected
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// for the previous term
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err = finishTerm(prevTerm)
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if err != nil {
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return nil, 0, err
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}
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}
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postings, err = dicts[itrI].postingsListFromOffset(
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postingsOffset, drops[itrI], postings)
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if err != nil {
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return nil, 0, err
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}
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postItr = postings.iterator(true, true, true, postItr)
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if fieldsSame {
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// can optimize by copying freq/norm/loc bytes directly
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lastDocNum, lastFreq, lastNorm, err = mergeTermFreqNormLocsByCopying(
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term, postItr, newDocNums[itrI], newRoaring,
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tfEncoder, locEncoder)
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} else {
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lastDocNum, lastFreq, lastNorm, bufLoc, err = mergeTermFreqNormLocs(
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fieldsMap, term, postItr, newDocNums[itrI], newRoaring,
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tfEncoder, locEncoder, bufLoc)
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}
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if err != nil {
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return nil, 0, err
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}
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prevTerm = prevTerm[:0] // copy to prevTerm in case Next() reuses term mem
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prevTerm = append(prevTerm, term...)
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err = enumerator.Next()
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}
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if err != vellum.ErrIteratorDone {
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return nil, 0, err
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}
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err = finishTerm(prevTerm)
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if err != nil {
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return nil, 0, err
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}
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dictOffset := uint64(w.Count())
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err = newVellum.Close()
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if err != nil {
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return nil, 0, err
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}
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vellumData := vellumBuf.Bytes()
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// write out the length of the vellum data
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n := binary.PutUvarint(bufMaxVarintLen64, uint64(len(vellumData)))
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_, err = w.Write(bufMaxVarintLen64[:n])
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if err != nil {
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return nil, 0, err
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}
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// write this vellum to disk
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_, err = w.Write(vellumData)
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if err != nil {
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return nil, 0, err
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}
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rv[fieldID] = dictOffset
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// get the field doc value offset (start)
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fieldDvLocsStart[fieldID] = uint64(w.Count())
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// update the field doc values
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fdvEncoder := newChunkedContentCoder(uint64(chunkFactor), newSegDocCount-1, w, true)
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fdvReadersAvailable := false
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var dvIterClone *docValueReader
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for segmentI, segment := range segmentsInFocus {
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// check for the closure in meantime
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if isClosed(closeCh) {
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return nil, 0, seg.ErrClosed
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}
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fieldIDPlus1 := uint16(segment.fieldsMap[fieldName])
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if dvIter, exists := segment.fieldDvReaders[fieldIDPlus1-1]; exists &&
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dvIter != nil {
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fdvReadersAvailable = true
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dvIterClone = dvIter.cloneInto(dvIterClone)
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err = dvIterClone.iterateAllDocValues(segment, func(docNum uint64, terms []byte) error {
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if newDocNums[segmentI][docNum] == docDropped {
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return nil
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}
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err := fdvEncoder.Add(newDocNums[segmentI][docNum], terms)
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if err != nil {
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return err
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}
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return nil
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})
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if err != nil {
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return nil, 0, err
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}
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}
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}
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if fdvReadersAvailable {
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err = fdvEncoder.Close()
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if err != nil {
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return nil, 0, err
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}
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// persist the doc value details for this field
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_, err = fdvEncoder.Write()
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if err != nil {
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return nil, 0, err
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}
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// get the field doc value offset (end)
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fieldDvLocsEnd[fieldID] = uint64(w.Count())
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} else {
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fieldDvLocsStart[fieldID] = fieldNotUninverted
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fieldDvLocsEnd[fieldID] = fieldNotUninverted
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}
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// reset vellum buffer and vellum builder
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vellumBuf.Reset()
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err = newVellum.Reset(&vellumBuf)
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if err != nil {
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return nil, 0, err
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}
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}
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fieldDvLocsOffset := uint64(w.Count())
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buf := bufMaxVarintLen64
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for i := 0; i < len(fieldDvLocsStart); i++ {
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n := binary.PutUvarint(buf, fieldDvLocsStart[i])
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_, err := w.Write(buf[:n])
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if err != nil {
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return nil, 0, err
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}
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n = binary.PutUvarint(buf, fieldDvLocsEnd[i])
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_, err = w.Write(buf[:n])
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if err != nil {
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return nil, 0, err
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}
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}
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return rv, fieldDvLocsOffset, nil
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}
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func mergeTermFreqNormLocs(fieldsMap map[string]uint16, term []byte, postItr *PostingsIterator,
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newDocNums []uint64, newRoaring *roaring.Bitmap,
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tfEncoder *chunkedIntCoder, locEncoder *chunkedIntCoder, bufLoc []uint64) (
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lastDocNum uint64, lastFreq uint64, lastNorm uint64, bufLocOut []uint64, err error) {
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next, err := postItr.Next()
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for next != nil && err == nil {
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hitNewDocNum := newDocNums[next.Number()]
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if hitNewDocNum == docDropped {
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return 0, 0, 0, nil, fmt.Errorf("see hit with dropped docNum")
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}
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newRoaring.Add(uint32(hitNewDocNum))
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nextFreq := next.Frequency()
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nextNorm := uint64(math.Float32bits(float32(next.Norm())))
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locs := next.Locations()
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err = tfEncoder.Add(hitNewDocNum,
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encodeFreqHasLocs(nextFreq, len(locs) > 0), nextNorm)
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if err != nil {
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return 0, 0, 0, nil, err
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}
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if len(locs) > 0 {
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numBytesLocs := 0
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for _, loc := range locs {
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ap := loc.ArrayPositions()
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numBytesLocs += totalUvarintBytes(uint64(fieldsMap[loc.Field()]-1),
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loc.Pos(), loc.Start(), loc.End(), uint64(len(ap)), ap)
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}
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err = locEncoder.Add(hitNewDocNum, uint64(numBytesLocs))
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if err != nil {
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return 0, 0, 0, nil, err
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}
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for _, loc := range locs {
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ap := loc.ArrayPositions()
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if cap(bufLoc) < 5+len(ap) {
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bufLoc = make([]uint64, 0, 5+len(ap))
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}
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args := bufLoc[0:5]
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args[0] = uint64(fieldsMap[loc.Field()] - 1)
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args[1] = loc.Pos()
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args[2] = loc.Start()
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args[3] = loc.End()
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args[4] = uint64(len(ap))
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args = append(args, ap...)
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err = locEncoder.Add(hitNewDocNum, args...)
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if err != nil {
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return 0, 0, 0, nil, err
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}
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}
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}
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lastDocNum = hitNewDocNum
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lastFreq = nextFreq
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lastNorm = nextNorm
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next, err = postItr.Next()
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}
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return lastDocNum, lastFreq, lastNorm, bufLoc, err
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}
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func mergeTermFreqNormLocsByCopying(term []byte, postItr *PostingsIterator,
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newDocNums []uint64, newRoaring *roaring.Bitmap,
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tfEncoder *chunkedIntCoder, locEncoder *chunkedIntCoder) (
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lastDocNum uint64, lastFreq uint64, lastNorm uint64, err error) {
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nextDocNum, nextFreq, nextNorm, nextFreqNormBytes, nextLocBytes, err :=
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postItr.nextBytes()
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for err == nil && len(nextFreqNormBytes) > 0 {
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hitNewDocNum := newDocNums[nextDocNum]
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if hitNewDocNum == docDropped {
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return 0, 0, 0, fmt.Errorf("see hit with dropped doc num")
|
|
}
|
|
|
|
newRoaring.Add(uint32(hitNewDocNum))
|
|
err = tfEncoder.AddBytes(hitNewDocNum, nextFreqNormBytes)
|
|
if err != nil {
|
|
return 0, 0, 0, err
|
|
}
|
|
|
|
if len(nextLocBytes) > 0 {
|
|
err = locEncoder.AddBytes(hitNewDocNum, nextLocBytes)
|
|
if err != nil {
|
|
return 0, 0, 0, err
|
|
}
|
|
}
|
|
|
|
lastDocNum = hitNewDocNum
|
|
lastFreq = nextFreq
|
|
lastNorm = nextNorm
|
|
|
|
nextDocNum, nextFreq, nextNorm, nextFreqNormBytes, nextLocBytes, err =
|
|
postItr.nextBytes()
|
|
}
|
|
|
|
return lastDocNum, lastFreq, lastNorm, err
|
|
}
|
|
|
|
func writePostings(postings *roaring.Bitmap, tfEncoder, locEncoder *chunkedIntCoder,
|
|
use1HitEncoding func(uint64) (bool, uint64, uint64),
|
|
w *CountHashWriter, bufMaxVarintLen64 []byte) (
|
|
offset uint64, err error) {
|
|
termCardinality := postings.GetCardinality()
|
|
if termCardinality <= 0 {
|
|
return 0, nil
|
|
}
|
|
|
|
if use1HitEncoding != nil {
|
|
encodeAs1Hit, docNum1Hit, normBits1Hit := use1HitEncoding(termCardinality)
|
|
if encodeAs1Hit {
|
|
return FSTValEncode1Hit(docNum1Hit, normBits1Hit), nil
|
|
}
|
|
}
|
|
|
|
tfOffset := uint64(w.Count())
|
|
_, err = tfEncoder.Write(w)
|
|
if err != nil {
|
|
return 0, err
|
|
}
|
|
|
|
locOffset := uint64(w.Count())
|
|
_, err = locEncoder.Write(w)
|
|
if err != nil {
|
|
return 0, err
|
|
}
|
|
|
|
postingsOffset := uint64(w.Count())
|
|
|
|
n := binary.PutUvarint(bufMaxVarintLen64, tfOffset)
|
|
_, err = w.Write(bufMaxVarintLen64[:n])
|
|
if err != nil {
|
|
return 0, err
|
|
}
|
|
|
|
n = binary.PutUvarint(bufMaxVarintLen64, locOffset)
|
|
_, err = w.Write(bufMaxVarintLen64[:n])
|
|
if err != nil {
|
|
return 0, err
|
|
}
|
|
|
|
_, err = writeRoaringWithLen(postings, w, bufMaxVarintLen64)
|
|
if err != nil {
|
|
return 0, err
|
|
}
|
|
|
|
return postingsOffset, nil
|
|
}
|
|
|
|
type varintEncoder func(uint64) (int, error)
|
|
|
|
func mergeStoredAndRemap(segments []*SegmentBase, drops []*roaring.Bitmap,
|
|
fieldsMap map[string]uint16, fieldsInv []string, fieldsSame bool, newSegDocCount uint64,
|
|
w *CountHashWriter, closeCh chan struct{}) (uint64, [][]uint64, error) {
|
|
var rv [][]uint64 // The remapped or newDocNums for each segment.
|
|
|
|
var newDocNum uint64
|
|
|
|
var curr int
|
|
var data, compressed []byte
|
|
var metaBuf bytes.Buffer
|
|
varBuf := make([]byte, binary.MaxVarintLen64)
|
|
metaEncode := func(val uint64) (int, error) {
|
|
wb := binary.PutUvarint(varBuf, val)
|
|
return metaBuf.Write(varBuf[:wb])
|
|
}
|
|
|
|
vals := make([][][]byte, len(fieldsInv))
|
|
typs := make([][]byte, len(fieldsInv))
|
|
poss := make([][][]uint64, len(fieldsInv))
|
|
|
|
var posBuf []uint64
|
|
|
|
docNumOffsets := make([]uint64, newSegDocCount)
|
|
|
|
vdc := visitDocumentCtxPool.Get().(*visitDocumentCtx)
|
|
defer visitDocumentCtxPool.Put(vdc)
|
|
|
|
// for each segment
|
|
for segI, segment := range segments {
|
|
// check for the closure in meantime
|
|
if isClosed(closeCh) {
|
|
return 0, nil, seg.ErrClosed
|
|
}
|
|
|
|
segNewDocNums := make([]uint64, segment.numDocs)
|
|
|
|
dropsI := drops[segI]
|
|
|
|
// optimize when the field mapping is the same across all
|
|
// segments and there are no deletions, via byte-copying
|
|
// of stored docs bytes directly to the writer
|
|
if fieldsSame && (dropsI == nil || dropsI.GetCardinality() == 0) {
|
|
err := segment.copyStoredDocs(newDocNum, docNumOffsets, w)
|
|
if err != nil {
|
|
return 0, nil, err
|
|
}
|
|
|
|
for i := uint64(0); i < segment.numDocs; i++ {
|
|
segNewDocNums[i] = newDocNum
|
|
newDocNum++
|
|
}
|
|
rv = append(rv, segNewDocNums)
|
|
|
|
continue
|
|
}
|
|
|
|
// for each doc num
|
|
for docNum := uint64(0); docNum < segment.numDocs; docNum++ {
|
|
// TODO: roaring's API limits docNums to 32-bits?
|
|
if dropsI != nil && dropsI.Contains(uint32(docNum)) {
|
|
segNewDocNums[docNum] = docDropped
|
|
continue
|
|
}
|
|
|
|
segNewDocNums[docNum] = newDocNum
|
|
|
|
curr = 0
|
|
metaBuf.Reset()
|
|
data = data[:0]
|
|
|
|
posTemp := posBuf
|
|
|
|
// collect all the data
|
|
for i := 0; i < len(fieldsInv); i++ {
|
|
vals[i] = vals[i][:0]
|
|
typs[i] = typs[i][:0]
|
|
poss[i] = poss[i][:0]
|
|
}
|
|
err := segment.visitStoredFields(vdc, docNum, func(field string, typ byte, value []byte, pos []uint64) bool {
|
|
fieldID := int(fieldsMap[field]) - 1
|
|
vals[fieldID] = append(vals[fieldID], value)
|
|
typs[fieldID] = append(typs[fieldID], typ)
|
|
|
|
// copy array positions to preserve them beyond the scope of this callback
|
|
var curPos []uint64
|
|
if len(pos) > 0 {
|
|
if cap(posTemp) < len(pos) {
|
|
posBuf = make([]uint64, len(pos)*len(fieldsInv))
|
|
posTemp = posBuf
|
|
}
|
|
curPos = posTemp[0:len(pos)]
|
|
copy(curPos, pos)
|
|
posTemp = posTemp[len(pos):]
|
|
}
|
|
poss[fieldID] = append(poss[fieldID], curPos)
|
|
|
|
return true
|
|
})
|
|
if err != nil {
|
|
return 0, nil, err
|
|
}
|
|
|
|
// _id field special case optimizes ExternalID() lookups
|
|
idFieldVal := vals[uint16(0)][0]
|
|
_, err = metaEncode(uint64(len(idFieldVal)))
|
|
if err != nil {
|
|
return 0, nil, err
|
|
}
|
|
|
|
// now walk the non-"_id" fields in order
|
|
for fieldID := 1; fieldID < len(fieldsInv); fieldID++ {
|
|
storedFieldValues := vals[fieldID]
|
|
|
|
stf := typs[fieldID]
|
|
spf := poss[fieldID]
|
|
|
|
var err2 error
|
|
curr, data, err2 = persistStoredFieldValues(fieldID,
|
|
storedFieldValues, stf, spf, curr, metaEncode, data)
|
|
if err2 != nil {
|
|
return 0, nil, err2
|
|
}
|
|
}
|
|
|
|
metaBytes := metaBuf.Bytes()
|
|
|
|
compressed = snappy.Encode(compressed[:cap(compressed)], data)
|
|
|
|
// record where we're about to start writing
|
|
docNumOffsets[newDocNum] = uint64(w.Count())
|
|
|
|
// write out the meta len and compressed data len
|
|
_, err = writeUvarints(w,
|
|
uint64(len(metaBytes)),
|
|
uint64(len(idFieldVal)+len(compressed)))
|
|
if err != nil {
|
|
return 0, nil, err
|
|
}
|
|
// now write the meta
|
|
_, err = w.Write(metaBytes)
|
|
if err != nil {
|
|
return 0, nil, err
|
|
}
|
|
// now write the _id field val (counted as part of the 'compressed' data)
|
|
_, err = w.Write(idFieldVal)
|
|
if err != nil {
|
|
return 0, nil, err
|
|
}
|
|
// now write the compressed data
|
|
_, err = w.Write(compressed)
|
|
if err != nil {
|
|
return 0, nil, err
|
|
}
|
|
|
|
newDocNum++
|
|
}
|
|
|
|
rv = append(rv, segNewDocNums)
|
|
}
|
|
|
|
// return value is the start of the stored index
|
|
storedIndexOffset := uint64(w.Count())
|
|
|
|
// now write out the stored doc index
|
|
for _, docNumOffset := range docNumOffsets {
|
|
err := binary.Write(w, binary.BigEndian, docNumOffset)
|
|
if err != nil {
|
|
return 0, nil, err
|
|
}
|
|
}
|
|
|
|
return storedIndexOffset, rv, nil
|
|
}
|
|
|
|
// copyStoredDocs writes out a segment's stored doc info, optimized by
|
|
// using a single Write() call for the entire set of bytes. The
|
|
// newDocNumOffsets is filled with the new offsets for each doc.
|
|
func (s *SegmentBase) copyStoredDocs(newDocNum uint64, newDocNumOffsets []uint64,
|
|
w *CountHashWriter) error {
|
|
if s.numDocs <= 0 {
|
|
return nil
|
|
}
|
|
|
|
indexOffset0, storedOffset0, _, _, _ :=
|
|
s.getDocStoredOffsets(0) // the segment's first doc
|
|
|
|
indexOffsetN, storedOffsetN, readN, metaLenN, dataLenN :=
|
|
s.getDocStoredOffsets(s.numDocs - 1) // the segment's last doc
|
|
|
|
storedOffset0New := uint64(w.Count())
|
|
|
|
storedBytes := s.mem[storedOffset0 : storedOffsetN+readN+metaLenN+dataLenN]
|
|
_, err := w.Write(storedBytes)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
// remap the storedOffset's for the docs into new offsets relative
|
|
// to storedOffset0New, filling the given docNumOffsetsOut array
|
|
for indexOffset := indexOffset0; indexOffset <= indexOffsetN; indexOffset += 8 {
|
|
storedOffset := binary.BigEndian.Uint64(s.mem[indexOffset : indexOffset+8])
|
|
storedOffsetNew := storedOffset - storedOffset0 + storedOffset0New
|
|
newDocNumOffsets[newDocNum] = storedOffsetNew
|
|
newDocNum += 1
|
|
}
|
|
|
|
return nil
|
|
}
|
|
|
|
// mergeFields builds a unified list of fields used across all the
|
|
// input segments, and computes whether the fields are the same across
|
|
// segments (which depends on fields to be sorted in the same way
|
|
// across segments)
|
|
func mergeFields(segments []*SegmentBase) (bool, []string) {
|
|
fieldsSame := true
|
|
|
|
var segment0Fields []string
|
|
if len(segments) > 0 {
|
|
segment0Fields = segments[0].Fields()
|
|
}
|
|
|
|
fieldsExist := map[string]struct{}{}
|
|
for _, segment := range segments {
|
|
fields := segment.Fields()
|
|
for fieldi, field := range fields {
|
|
fieldsExist[field] = struct{}{}
|
|
if len(segment0Fields) != len(fields) || segment0Fields[fieldi] != field {
|
|
fieldsSame = false
|
|
}
|
|
}
|
|
}
|
|
|
|
rv := make([]string, 0, len(fieldsExist))
|
|
// ensure _id stays first
|
|
rv = append(rv, "_id")
|
|
for k := range fieldsExist {
|
|
if k != "_id" {
|
|
rv = append(rv, k)
|
|
}
|
|
}
|
|
|
|
sort.Strings(rv[1:]) // leave _id as first
|
|
|
|
return fieldsSame, rv
|
|
}
|
|
|
|
func isClosed(closeCh chan struct{}) bool {
|
|
select {
|
|
case <-closeCh:
|
|
return true
|
|
default:
|
|
return false
|
|
}
|
|
}
|