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merge.go
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merge.go
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// Copyright (c) 2020 Couchbase, Inc.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package ice
import (
"bufio"
"bytes"
"encoding/binary"
"fmt"
"io"
"math"
"sort"
"github.com/RoaringBitmap/roaring"
"github.com/blevesearch/vellum"
segment "github.com/blugelabs/bluge_segment_api"
"github.com/blugelabs/ice/compress"
)
const docDropped = math.MaxInt64 // sentinel docNum to represent a deleted doc
// TODO this should be going away soon
const _idFieldName = "_id"
type Merger struct {
segments []segment.Segment
drops []*roaring.Bitmap
newDocNums [][]uint64
mergeBufferSize int
}
func (m *Merger) WriteTo(w io.Writer, closeCh chan struct{}) (n int64, err error) {
var sz uint64
bw := bufio.NewWriterSize(w, m.mergeBufferSize)
m.newDocNums, sz, err = merge(m.segments, m.drops, bw, closeCh)
if err != nil {
return
}
n = int64(sz)
err = bw.Flush()
if err != nil {
return n, err
}
return
}
func (m *Merger) DocumentNumbers() [][]uint64 {
return m.newDocNums
}
func Merge(segments []segment.Segment, drops []*roaring.Bitmap, mergeBufferSize int) segment.Merger {
return &Merger{
segments: segments,
drops: drops,
mergeBufferSize: mergeBufferSize,
}
}
func merge(segments []segment.Segment, drops []*roaring.Bitmap,
w io.Writer, closeCh chan struct{}) (newDocNums [][]uint64, n uint64, err error) {
segmentBases := make([]*Segment, len(segments))
for segmenti, seg := range segments {
switch segmentx := seg.(type) {
case *Segment:
segmentBases[segmenti] = segmentx
default:
panic(fmt.Sprintf("oops, unexpected segment type: %T", seg))
}
}
return mergeSegmentBasesWriter(segmentBases, drops, w, defaultChunkMode, closeCh)
}
func mergeSegmentBasesWriter(segmentBases []*Segment, drops []*roaring.Bitmap, w io.Writer,
chunkMode uint32, closeCh chan struct{}) (
newDocNums [][]uint64, n uint64, err error) {
// wrap it for counting (tracking offsets)
cr := newCountHashWriter(w)
var footer *footer
newDocNums, footer, err =
mergeToWriter(segmentBases, drops, chunkMode, cr, closeCh)
if err != nil {
return nil, 0, err
}
footer.crc = cr.Sum32()
footer.chunkMode = chunkMode
err = persistFooter(footer, cr)
if err != nil {
return nil, 0, err
}
return newDocNums, uint64(cr.Count()), nil
}
func mergeToWriter(segments []*Segment, drops []*roaring.Bitmap,
chunkMode uint32, cr *countHashWriter, closeCh chan struct{}) (
newDocNums [][]uint64, footerVal *footer,
err error) {
docValueOffset := uint64(fieldNotUninverted)
fieldsSame, fieldsInv := mergeFields(segments)
fieldsMap := mapFields(fieldsInv)
numDocs := computeNewDocCount(segments, drops)
if isClosed(closeCh) {
return nil, nil, segment.ErrClosed
}
var storedIndexOffset uint64
var fieldDocs, fieldFreqs map[uint16]uint64
var dictLocs []uint64
var docTimeMin = uint64(math.MaxInt64)
var docTimeMax uint64
if numDocs > 0 {
storedIndexOffset, newDocNums, err = mergeStoredAndRemap(segments, drops,
fieldsMap, fieldsInv, fieldsSame, numDocs, cr, closeCh)
if err != nil {
return nil, nil, err
}
dictLocs, fieldDocs, fieldFreqs, docValueOffset, err = persistMergedRest(segments, drops,
fieldsInv, fieldsMap,
newDocNums, numDocs, chunkMode, cr, closeCh)
if err != nil {
return nil, nil, err
}
for _, seg := range segments {
if seg.DocTimeMin() > 0 && seg.DocTimeMin() < docTimeMin {
docTimeMin = seg.DocTimeMin()
}
if seg.DocTimeMax() > docTimeMax {
docTimeMax = seg.DocTimeMax()
}
}
} else {
dictLocs = make([]uint64, len(fieldsInv))
}
if docTimeMin == math.MaxInt64 {
docTimeMin = 0
}
var fieldsIndexOffset uint64
fieldsIndexOffset, err = persistFields(fieldsInv, fieldDocs, fieldFreqs, cr, dictLocs)
if err != nil {
return nil, nil, err
}
return newDocNums, &footer{
numDocs: numDocs,
storedIndexOffset: storedIndexOffset,
fieldsIndexOffset: fieldsIndexOffset,
docValueOffset: docValueOffset,
docTimeMin: docTimeMin,
docTimeMax: docTimeMax,
}, nil
}
// mapFields takes the fieldsInv list and returns a map of fieldName
// to fieldID+1
func mapFields(fields []string) map[string]uint16 {
rv := make(map[string]uint16, len(fields))
for i, fieldName := range fields {
rv[fieldName] = uint16(i) + 1
}
return rv
}
// computeNewDocCount determines how many documents will be in the newly
// merged segment when obsoleted docs are dropped
func computeNewDocCount(segments []*Segment, drops []*roaring.Bitmap) uint64 {
var newDocCount uint64
for segI, seg := range segments {
newDocCount += seg.footer.numDocs
if drops[segI] != nil {
newDocCount -= drops[segI].GetCardinality()
}
}
return newDocCount
}
func persistMergedRest(segments []*Segment, dropsIn []*roaring.Bitmap,
fieldsInv []string, fieldsMap map[string]uint16,
newDocNumsIn [][]uint64, newSegDocCount uint64, chunkMode uint32,
w *countHashWriter, closeCh chan struct{}) (dictLocs []uint64, fieldDocs,
fieldFreqs map[uint16]uint64, docValueOffset uint64, err error) {
var bufMaxVarintLen64 = make([]byte, binary.MaxVarintLen64)
dictLocs = make([]uint64, len(fieldsInv))
fieldDvLocsStart := make([]uint64, len(fieldsInv))
fieldDvLocsEnd := make([]uint64, len(fieldsInv))
// these int coders are initialized with chunk size 1024
// however this will be reset to the correct chunk size
// while processing each individual field-term section
tfEncoder := newChunkedIntCoder(uint64(legacyChunkMode), newSegDocCount-1)
locEncoder := newChunkedIntCoder(uint64(legacyChunkMode), newSegDocCount-1)
var vellumBuf bytes.Buffer
newVellum, err := vellum.New(&vellumBuf, nil)
if err != nil {
return nil, nil, nil, 0, err
}
newRoaring := roaring.NewBitmap()
fieldDocs = map[uint16]uint64{}
fieldDocTracking := roaring.NewBitmap()
fieldFreqs = map[uint16]uint64{}
// for each field
for fieldID, fieldName := range fieldsInv {
err = persistMergedRestField(segments, dropsIn, fieldsMap, newDocNumsIn, newSegDocCount, chunkMode, w,
closeCh, fieldName, newRoaring, fieldDocTracking, tfEncoder, locEncoder, newVellum, &vellumBuf,
bufMaxVarintLen64, fieldFreqs, fieldID, dictLocs, fieldDvLocsStart, fieldDvLocsEnd)
if err != nil {
return nil, nil, nil, 0, err
}
// reset vellum buffer and vellum builder
vellumBuf.Reset()
err = newVellum.Reset(&vellumBuf)
if err != nil {
return nil, nil, nil, 0, err
}
fieldDocs[uint16(fieldID)] += fieldDocTracking.GetCardinality()
}
docValueOffset, err = writeDvLocs(w, bufMaxVarintLen64, fieldDvLocsStart, fieldDvLocsEnd)
if err != nil {
return nil, nil, nil, 0, err
}
return dictLocs, fieldDocs, fieldFreqs, docValueOffset, nil
}
func persistMergedRestField(segments []*Segment, dropsIn []*roaring.Bitmap, fieldsMap map[string]uint16,
newDocNumsIn [][]uint64, newSegDocCount uint64, chunkMode uint32, w *countHashWriter, closeCh chan struct{},
fieldName string, newRoaring, fieldDocTracking *roaring.Bitmap, tfEncoder, locEncoder *chunkedIntCoder,
newVellum *vellum.Builder, vellumBuf *bytes.Buffer, bufMaxVarintLen64 []byte, fieldFreqs map[uint16]uint64,
fieldID int, dictLocs, fieldDvLocsStart, fieldDvLocsEnd []uint64) error {
var postings *PostingsList
var postItr *PostingsIterator
var bufLoc []uint64
// collect FST iterators from all active segments for this field
newDocNums, drops, dicts, itrs, segmentsInFocus, err :=
setupActiveForField(segments, dropsIn, newDocNumsIn, closeCh, fieldName)
if err != nil {
return err
}
var prevTerm []byte
newRoaring.Clear()
fieldDocTracking.Clear()
var lastDocNum uint64
var lastFreq, lastNorm uint64
enumerator, err := newEnumerator(itrs)
for err == nil {
term, itrI, postingsOffset := enumerator.Current()
if !bytes.Equal(prevTerm, term) {
// check for the closure in meantime
if isClosed(closeCh) {
return segment.ErrClosed
}
// if the term changed, write out the info collected for the previous term
err = finishTerm(w, newRoaring, tfEncoder, locEncoder, newVellum, bufMaxVarintLen64, prevTerm, &lastDocNum,
&lastFreq, &lastNorm)
if err != nil {
return err
}
}
if !bytes.Equal(prevTerm, term) || prevTerm == nil {
err = prepareNewTerm(newSegDocCount, chunkMode, tfEncoder, locEncoder, fieldFreqs, fieldID, enumerator,
dicts, drops)
if err != nil {
return err
}
}
postings, err = dicts[itrI].postingsListFromOffset(
postingsOffset, drops[itrI], postings)
if err != nil {
return err
}
postItr, err = postings.iterator(true, true, true, postItr)
if err != nil {
return err
}
// can no longer optimize by copying, since chunk factor could have changed
lastDocNum, lastFreq, lastNorm, bufLoc, err = mergeTermFreqNormLocs(
fieldsMap, postItr, newDocNums[itrI], newRoaring,
tfEncoder, locEncoder, bufLoc, fieldDocTracking)
if err != nil {
return err
}
prevTerm = prevTerm[:0] // copy to prevTerm in case Next() reuses term mem
prevTerm = append(prevTerm, term...)
err = enumerator.Next()
}
if err != vellum.ErrIteratorDone {
return err
}
err = finishTerm(w, newRoaring, tfEncoder, locEncoder, newVellum, bufMaxVarintLen64, prevTerm, &lastDocNum,
&lastFreq, &lastNorm)
if err != nil {
return err
}
err = writeMergedDict(w, newVellum, vellumBuf, bufMaxVarintLen64, fieldID, dictLocs)
if err != nil {
return err
}
err = buildMergedDocVals(newSegDocCount, w, closeCh, fieldName, fieldID, fieldDvLocsStart, fieldDvLocsEnd,
segmentsInFocus, newDocNums)
if err != nil {
return err
}
return nil
}
func writeMergedDict(w *countHashWriter, newVellum io.Closer, vellumBuf *bytes.Buffer,
bufMaxVarintLen64 []byte, fieldID int, dictLocs []uint64) error {
dictOffset := uint64(w.Count())
err := newVellum.Close()
if err != nil {
return err
}
vellumData := vellumBuf.Bytes()
// write out the length of the vellum data
n := binary.PutUvarint(bufMaxVarintLen64, uint64(len(vellumData)))
_, err = w.Write(bufMaxVarintLen64[:n])
if err != nil {
return err
}
// write this vellum to disk
_, err = w.Write(vellumData)
if err != nil {
return err
}
dictLocs[fieldID] = dictOffset
return nil
}
func buildMergedDocVals(newSegDocCount uint64, w *countHashWriter, closeCh chan struct{}, fieldName string, fieldID int,
fieldDvLocsStart, fieldDvLocsEnd []uint64, segmentsInFocus []*Segment, newDocNums [][]uint64) error {
// get the field doc value offset (start)
fieldDvLocsStart[fieldID] = uint64(w.Count())
// update the field doc values
// NOTE: doc values continue to use legacy chunk mode
chunkSize, err := getChunkSize(legacyChunkMode, 0, 0)
if err != nil {
return err
}
fdvEncoder := newChunkedContentCoder(chunkSize, newSegDocCount-1, w, true)
fdvReadersAvailable := false
var dvIterClone *docValueReader
for segmentI, seg := range segmentsInFocus {
segmentI := segmentI
// check for the closure in meantime
if isClosed(closeCh) {
return segment.ErrClosed
}
fieldIDPlus1 := seg.fieldsMap[fieldName]
if dvIter, exists := seg.fieldDvReaders[fieldIDPlus1-1]; exists &&
dvIter != nil {
fdvReadersAvailable = true
dvIterClone = dvIter.cloneInto(dvIterClone)
err = dvIterClone.iterateAllDocValues(seg, func(docNum uint64, terms []byte) error {
if newDocNums[segmentI][docNum] == docDropped {
return nil
}
err2 := fdvEncoder.Add(newDocNums[segmentI][docNum], terms)
if err2 != nil {
return err2
}
return nil
})
if err != nil {
return err
}
}
}
if fdvReadersAvailable {
err = fdvEncoder.Close()
if err != nil {
return err
}
// persist the doc value details for this field
_, err = fdvEncoder.Write()
if err != nil {
return err
}
// get the field doc value offset (end)
fieldDvLocsEnd[fieldID] = uint64(w.Count())
} else {
fieldDvLocsStart[fieldID] = fieldNotUninverted
fieldDvLocsEnd[fieldID] = fieldNotUninverted
}
return nil
}
func prepareNewTerm(newSegDocCount uint64, chunkMode uint32, tfEncoder, locEncoder *chunkedIntCoder,
fieldFreqs map[uint16]uint64, fieldID int, enumerator *enumerator, dicts []*Dictionary,
drops []*roaring.Bitmap) error {
var err error
// compute cardinality of field-term in new seg
var newCard uint64
lowItrIdxs, lowItrVals := enumerator.GetLowIdxsAndValues()
for i, idx := range lowItrIdxs {
var pl *PostingsList
pl, err = dicts[idx].postingsListFromOffset(lowItrVals[i], drops[idx], nil)
if err != nil {
return err
}
newCard += pl.Count()
fieldFreqs[uint16(fieldID)] += newCard
}
// compute correct chunk size with this
var chunkSize uint64
chunkSize, err = getChunkSize(chunkMode, newCard, newSegDocCount)
if err != nil {
return err
}
// update encoders chunk
tfEncoder.SetChunkSize(chunkSize, newSegDocCount-1)
locEncoder.SetChunkSize(chunkSize, newSegDocCount-1)
return nil
}
func finishTerm(w *countHashWriter, newRoaring *roaring.Bitmap, tfEncoder, locEncoder *chunkedIntCoder,
newVellum *vellum.Builder, bufMaxVarintLen64, term []byte, lastDocNum, lastFreq, lastNorm *uint64) error {
tfEncoder.Close()
locEncoder.Close()
// determines whether to use "1-hit" encoding optimization
// when a term appears in only 1 doc, with no loc info,
// has freq of 1, and the docNum fits into 31-bits
use1HitEncoding := func(termCardinality uint64) (bool, uint64, uint64) {
if termCardinality == uint64(1) && locEncoder.FinalSize() <= 0 {
docNum := uint64(newRoaring.Minimum())
if under32Bits(docNum) && docNum == *lastDocNum && *lastFreq == 1 {
return true, docNum, *lastNorm
}
}
return false, 0, 0
}
postingsOffset, err := writePostings(newRoaring,
tfEncoder, locEncoder, use1HitEncoding, w, bufMaxVarintLen64)
if err != nil {
return err
}
if postingsOffset > 0 {
err = newVellum.Insert(term, postingsOffset)
if err != nil {
return err
}
}
newRoaring.Clear()
tfEncoder.Reset()
locEncoder.Reset()
*lastDocNum = 0
*lastFreq = 0
*lastNorm = 0
return nil
}
func writeDvLocs(w *countHashWriter, bufMaxVarintLen64 []byte, fieldDvLocsStart, fieldDvLocsEnd []uint64) (uint64, error) {
fieldDvLocsOffset := uint64(w.Count())
buf := bufMaxVarintLen64
for i := 0; i < len(fieldDvLocsStart); i++ {
n := binary.PutUvarint(buf, fieldDvLocsStart[i])
_, err := w.Write(buf[:n])
if err != nil {
return 0, err
}
n = binary.PutUvarint(buf, fieldDvLocsEnd[i])
_, err = w.Write(buf[:n])
if err != nil {
return 0, err
}
}
return fieldDvLocsOffset, nil
}
// nolint: gocritic, nolintlint
func setupActiveForField(segments []*Segment, dropsIn []*roaring.Bitmap, newDocNumsIn [][]uint64, closeCh chan struct{},
fieldName string) (newDocNums [][]uint64, drops []*roaring.Bitmap, dicts []*Dictionary, itrs []vellum.Iterator,
segmentsInFocus []*Segment, err error) {
for segmentI, seg := range segments {
// check for the closure in meantime
if isClosed(closeCh) {
return nil, nil, nil, nil, nil, segment.ErrClosed
}
var dict *Dictionary
dict, err = seg.dictionary(fieldName)
if err != nil {
return nil, nil, nil, nil, nil, err
}
if dict != nil && dict.fst != nil {
var itr *vellum.FSTIterator
itr, err = dict.fst.Iterator(nil, nil)
if err != nil && err != vellum.ErrIteratorDone {
return nil, nil, nil, nil, nil, err
}
if itr != nil {
newDocNums = append(newDocNums, newDocNumsIn[segmentI])
if dropsIn[segmentI] != nil && !dropsIn[segmentI].IsEmpty() {
drops = append(drops, dropsIn[segmentI])
} else {
drops = append(drops, nil)
}
dicts = append(dicts, dict)
itrs = append(itrs, itr)
segmentsInFocus = append(segmentsInFocus, seg)
}
}
}
return newDocNums, drops, dicts, itrs, segmentsInFocus, nil
}
const numUintsLocation = 4
func mergeTermFreqNormLocs(fieldsMap map[string]uint16, postItr *PostingsIterator,
newDocNums []uint64, newRoaring *roaring.Bitmap,
tfEncoder, locEncoder *chunkedIntCoder, bufLoc []uint64, docTracking *roaring.Bitmap) (
lastDocNum, lastFreq, lastNorm uint64, bufLocOut []uint64, err error) {
next, err := postItr.Next()
for next != nil && err == nil {
hitNewDocNum := newDocNums[next.Number()]
if hitNewDocNum == docDropped {
return 0, 0, 0, nil, fmt.Errorf("see hit with dropped docNum")
}
newRoaring.Add(uint32(hitNewDocNum))
docTracking.Add(uint32(hitNewDocNum))
nextFreq := next.Frequency()
nextNorm := uint64(math.Float32bits(float32(next.Norm())))
locs := next.Locations()
err = tfEncoder.Add(hitNewDocNum,
encodeFreqHasLocs(uint64(nextFreq), len(locs) > 0), nextNorm)
if err != nil {
return 0, 0, 0, nil, err
}
if len(locs) > 0 {
numBytesLocs := 0
for _, loc := range locs {
numBytesLocs += totalUvarintBytes(uint64(fieldsMap[loc.Field()]-1),
uint64(loc.Pos()), uint64(loc.Start()), uint64(loc.End()))
}
err = locEncoder.Add(hitNewDocNum, uint64(numBytesLocs))
if err != nil {
return 0, 0, 0, nil, err
}
for _, loc := range locs {
if cap(bufLoc) < numUintsLocation {
bufLoc = make([]uint64, 0, numUintsLocation)
}
args := bufLoc[0:4]
args[0] = uint64(fieldsMap[loc.Field()] - 1)
args[1] = uint64(loc.Pos())
args[2] = uint64(loc.Start())
args[3] = uint64(loc.End())
err = locEncoder.Add(hitNewDocNum, args...)
if err != nil {
return 0, 0, 0, nil, err
}
}
}
lastDocNum = hitNewDocNum
lastFreq = uint64(nextFreq)
lastNorm = nextNorm
next, err = postItr.Next()
}
return lastDocNum, lastFreq, lastNorm, bufLoc, err
}
func mergeStoredAndRemap(segments []*Segment, drops []*roaring.Bitmap,
fieldsMap map[string]uint16, fieldsInv []string, fieldsSame bool, newSegDocCount uint64,
w *countHashWriter, closeCh chan struct{}) (storedIndexOffset uint64, newDocNums [][]uint64, err error) {
var newDocNum uint64
var data []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))
docNumOffsets := make([]uint64, newSegDocCount)
vdc := visitDocumentCtxPool.Get().(*visitDocumentCtx)
defer visitDocumentCtxPool.Put(vdc)
// document chunk coder
docChunkCoder := newChunkedDocumentCoder(uint64(defaultDocumentChunkSize), w)
// for each segment
for segI, seg := range segments {
// check for the closure in meantime
if isClosed(closeCh) {
return 0, nil, segment.ErrClosed
}
segNewDocNums := make([]uint64, seg.footer.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 := seg.copyStoredDocs(newDocNum, docNumOffsets, docChunkCoder)
if err != nil {
return 0, nil, err
}
for i := uint64(0); i < seg.footer.numDocs; i++ {
segNewDocNums[i] = newDocNum
newDocNum++
}
newDocNums = append(newDocNums, segNewDocNums)
continue
}
var err2 error
newDocNum, err2 = mergeStoredAndRemapSegment(seg, dropsI, segNewDocNums, newDocNum, &metaBuf, data,
fieldsInv, vals, vdc, fieldsMap, metaEncode, docNumOffsets, docChunkCoder)
if err2 != nil {
return 0, nil, err2
}
newDocNums = append(newDocNums, segNewDocNums)
}
// document chunk coder
if err := docChunkCoder.Write(); err != nil {
return 0, nil, err
}
// 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, newDocNums, nil
}
func mergeStoredAndRemapSegment(seg *Segment, dropsI *roaring.Bitmap, segNewDocNums []uint64, newDocNum uint64,
metaBuf *bytes.Buffer, data []byte, fieldsInv []string, vals [][][]byte, vdc *visitDocumentCtx,
fieldsMap map[string]uint16, metaEncode func(val uint64) (int, error), docNumOffsets []uint64,
docChunkCoder *chunkedDocumentCoder) (uint64, error) {
// for each doc num
for docNum := uint64(0); docNum < seg.footer.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]
// collect all the data
for i := 0; i < len(fieldsInv); i++ {
vals[i] = vals[i][:0]
}
err := seg.visitDocument(vdc, docNum, func(field string, value []byte) bool {
fieldID := int(fieldsMap[field]) - 1
vals[fieldID] = append(vals[fieldID], value)
return true
})
if err != nil {
return 0, err
}
// now walk the fields in order
for fieldID := 0; fieldID < len(fieldsInv); fieldID++ {
storedFieldValues := vals[fieldID]
var err2 error
curr, data, err2 = encodeStoredFieldValues(fieldID,
storedFieldValues, curr, metaEncode, data)
if err2 != nil {
return 0, err2
}
}
metaBytes := metaBuf.Bytes()
// record where we're about to start writing
docNumOffsets[newDocNum] = docChunkCoder.Size()
// document chunk line
if _, err := docChunkCoder.Add(newDocNum, metaBytes, data); err != nil {
return 0, err
}
newDocNum++
}
return newDocNum, 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 *Segment) copyStoredDocs(newDocNum uint64, newDocNumOffsets []uint64, docChunkCoder *chunkedDocumentCoder) error {
if s.footer.numDocs <= 0 {
return nil
}
// visit documents and rewrite to chunk
uncompressed := make([]byte, 0)
for i := 0; i < len(s.storedFieldChunkOffsets)-1; i++ {
chunkOffstart := s.storedFieldChunkOffsets[i]
chunkOffend := s.storedFieldChunkOffsets[i+1]
if chunkOffstart == chunkOffend {
continue
}
compressed, err := s.data.Read(int(chunkOffstart), int(chunkOffend))
if err != nil {
return err
}
uncompressed, err = compress.Decompress(uncompressed[:cap(uncompressed)], compressed)
if err != nil {
return err
}
storedOffset := 0
n := 0
for storedOffset < len(uncompressed) {
n = 0
metaDataLenEnd := storedOffset + binary.MaxVarintLen64
if metaDataLenEnd > cap(uncompressed) {
metaDataLenEnd = cap(uncompressed)
}
metaLenData := uncompressed[storedOffset:metaDataLenEnd]
metaLen, read := binary.Uvarint(metaLenData)
n += read
dataLenEnd := storedOffset + n + binary.MaxVarintLen64
if dataLenEnd > cap(uncompressed) {
dataLenEnd = cap(uncompressed)
}
dataLenData := uncompressed[storedOffset+n : dataLenEnd]
dataLen, read := binary.Uvarint(dataLenData)
n += read
newDocNumOffsets[newDocNum] = docChunkCoder.Size()
metaBytes := uncompressed[storedOffset+n : storedOffset+n+int(metaLen)]
data := uncompressed[storedOffset+n+int(metaLen) : storedOffset+n+int(metaLen+dataLen)]
if _, err := docChunkCoder.Add(newDocNum, metaBytes, data); err != nil {
return err
}
storedOffset += n + int(metaLen+dataLen)
newDocNum++
}
}
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 []*Segment) (same bool, fields []string) {
same = true
var segment0Fields []string
if len(segments) > 0 {
segment0Fields = segments[0].Fields()
}
fieldsExist := map[string]struct{}{}
for _, seg := range segments {
fields = seg.Fields()
for fieldi, field := range fields {
fieldsExist[field] = struct{}{}
if len(segment0Fields) != len(fields) || segment0Fields[fieldi] != field {
same = false
}
}
}
fields = make([]string, 0, len(fieldsExist))
// ensure _id stays first
fields = append(fields, _idFieldName)
for k := range fieldsExist {
if k != _idFieldName {
fields = append(fields, k)
}
}
sort.Strings(fields[1:]) // leave _id as first
return same, fields
}
func isClosed(closeCh chan struct{}) bool {
select {
case <-closeCh:
return true
default:
return false
}
}