mirror of
https://codeberg.org/forgejo/forgejo
synced 2024-08-25 17:11:16 +02:00
831 lines
20 KiB
Go
Vendored
831 lines
20 KiB
Go
Vendored
// Copyright (c) 2018 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 zap
|
|
|
|
import (
|
|
"bytes"
|
|
"encoding/binary"
|
|
"math"
|
|
"sort"
|
|
"sync"
|
|
|
|
"github.com/RoaringBitmap/roaring"
|
|
index "github.com/blevesearch/bleve_index_api"
|
|
segment "github.com/blevesearch/scorch_segment_api/v2"
|
|
"github.com/blevesearch/vellum"
|
|
"github.com/golang/snappy"
|
|
)
|
|
|
|
var NewSegmentBufferNumResultsBump int = 100
|
|
var NewSegmentBufferNumResultsFactor float64 = 1.0
|
|
var NewSegmentBufferAvgBytesPerDocFactor float64 = 1.0
|
|
|
|
// ValidateDocFields can be set by applications to perform additional checks
|
|
// on fields in a document being added to a new segment, by default it does
|
|
// nothing.
|
|
// This API is experimental and may be removed at any time.
|
|
var ValidateDocFields = func(field index.Field) error {
|
|
return nil
|
|
}
|
|
|
|
// New creates an in-memory zap-encoded SegmentBase from a set of Documents
|
|
func (z *ZapPlugin) New(results []index.Document) (
|
|
segment.Segment, uint64, error) {
|
|
return z.newWithChunkMode(results, DefaultChunkMode)
|
|
}
|
|
|
|
func (*ZapPlugin) newWithChunkMode(results []index.Document,
|
|
chunkMode uint32) (segment.Segment, uint64, error) {
|
|
s := interimPool.Get().(*interim)
|
|
|
|
var br bytes.Buffer
|
|
if s.lastNumDocs > 0 {
|
|
// use previous results to initialize the buf with an estimate
|
|
// size, but note that the interim instance comes from a
|
|
// global interimPool, so multiple scorch instances indexing
|
|
// different docs can lead to low quality estimates
|
|
estimateAvgBytesPerDoc := int(float64(s.lastOutSize/s.lastNumDocs) *
|
|
NewSegmentBufferNumResultsFactor)
|
|
estimateNumResults := int(float64(len(results)+NewSegmentBufferNumResultsBump) *
|
|
NewSegmentBufferAvgBytesPerDocFactor)
|
|
br.Grow(estimateAvgBytesPerDoc * estimateNumResults)
|
|
}
|
|
|
|
s.results = results
|
|
s.chunkMode = chunkMode
|
|
s.w = NewCountHashWriter(&br)
|
|
|
|
storedIndexOffset, fieldsIndexOffset, fdvIndexOffset, dictOffsets,
|
|
err := s.convert()
|
|
if err != nil {
|
|
return nil, uint64(0), err
|
|
}
|
|
|
|
sb, err := InitSegmentBase(br.Bytes(), s.w.Sum32(), chunkMode,
|
|
s.FieldsMap, s.FieldsInv, uint64(len(results)),
|
|
storedIndexOffset, fieldsIndexOffset, fdvIndexOffset, dictOffsets)
|
|
|
|
if err == nil && s.reset() == nil {
|
|
s.lastNumDocs = len(results)
|
|
s.lastOutSize = len(br.Bytes())
|
|
interimPool.Put(s)
|
|
}
|
|
|
|
return sb, uint64(len(br.Bytes())), err
|
|
}
|
|
|
|
var interimPool = sync.Pool{New: func() interface{} { return &interim{} }}
|
|
|
|
// interim holds temporary working data used while converting from
|
|
// analysis results to a zap-encoded segment
|
|
type interim struct {
|
|
results []index.Document
|
|
|
|
chunkMode uint32
|
|
|
|
w *CountHashWriter
|
|
|
|
// FieldsMap adds 1 to field id to avoid zero value issues
|
|
// name -> field id + 1
|
|
FieldsMap map[string]uint16
|
|
|
|
// FieldsInv is the inverse of FieldsMap
|
|
// field id -> name
|
|
FieldsInv []string
|
|
|
|
// Term dictionaries for each field
|
|
// field id -> term -> postings list id + 1
|
|
Dicts []map[string]uint64
|
|
|
|
// Terms for each field, where terms are sorted ascending
|
|
// field id -> []term
|
|
DictKeys [][]string
|
|
|
|
// Fields whose IncludeDocValues is true
|
|
// field id -> bool
|
|
IncludeDocValues []bool
|
|
|
|
// postings id -> bitmap of docNums
|
|
Postings []*roaring.Bitmap
|
|
|
|
// postings id -> freq/norm's, one for each docNum in postings
|
|
FreqNorms [][]interimFreqNorm
|
|
freqNormsBacking []interimFreqNorm
|
|
|
|
// postings id -> locs, one for each freq
|
|
Locs [][]interimLoc
|
|
locsBacking []interimLoc
|
|
|
|
numTermsPerPostingsList []int // key is postings list id
|
|
numLocsPerPostingsList []int // key is postings list id
|
|
|
|
builder *vellum.Builder
|
|
builderBuf bytes.Buffer
|
|
|
|
metaBuf bytes.Buffer
|
|
|
|
tmp0 []byte
|
|
tmp1 []byte
|
|
|
|
lastNumDocs int
|
|
lastOutSize int
|
|
}
|
|
|
|
func (s *interim) reset() (err error) {
|
|
s.results = nil
|
|
s.chunkMode = 0
|
|
s.w = nil
|
|
s.FieldsMap = nil
|
|
s.FieldsInv = nil
|
|
for i := range s.Dicts {
|
|
s.Dicts[i] = nil
|
|
}
|
|
s.Dicts = s.Dicts[:0]
|
|
for i := range s.DictKeys {
|
|
s.DictKeys[i] = s.DictKeys[i][:0]
|
|
}
|
|
s.DictKeys = s.DictKeys[:0]
|
|
for i := range s.IncludeDocValues {
|
|
s.IncludeDocValues[i] = false
|
|
}
|
|
s.IncludeDocValues = s.IncludeDocValues[:0]
|
|
for _, idn := range s.Postings {
|
|
idn.Clear()
|
|
}
|
|
s.Postings = s.Postings[:0]
|
|
s.FreqNorms = s.FreqNorms[:0]
|
|
for i := range s.freqNormsBacking {
|
|
s.freqNormsBacking[i] = interimFreqNorm{}
|
|
}
|
|
s.freqNormsBacking = s.freqNormsBacking[:0]
|
|
s.Locs = s.Locs[:0]
|
|
for i := range s.locsBacking {
|
|
s.locsBacking[i] = interimLoc{}
|
|
}
|
|
s.locsBacking = s.locsBacking[:0]
|
|
s.numTermsPerPostingsList = s.numTermsPerPostingsList[:0]
|
|
s.numLocsPerPostingsList = s.numLocsPerPostingsList[:0]
|
|
s.builderBuf.Reset()
|
|
if s.builder != nil {
|
|
err = s.builder.Reset(&s.builderBuf)
|
|
}
|
|
s.metaBuf.Reset()
|
|
s.tmp0 = s.tmp0[:0]
|
|
s.tmp1 = s.tmp1[:0]
|
|
s.lastNumDocs = 0
|
|
s.lastOutSize = 0
|
|
|
|
return err
|
|
}
|
|
|
|
func (s *interim) grabBuf(size int) []byte {
|
|
buf := s.tmp0
|
|
if cap(buf) < size {
|
|
buf = make([]byte, size)
|
|
s.tmp0 = buf
|
|
}
|
|
return buf[0:size]
|
|
}
|
|
|
|
type interimStoredField struct {
|
|
vals [][]byte
|
|
typs []byte
|
|
arrayposs [][]uint64 // array positions
|
|
}
|
|
|
|
type interimFreqNorm struct {
|
|
freq uint64
|
|
norm float32
|
|
numLocs int
|
|
}
|
|
|
|
type interimLoc struct {
|
|
fieldID uint16
|
|
pos uint64
|
|
start uint64
|
|
end uint64
|
|
arrayposs []uint64
|
|
}
|
|
|
|
func (s *interim) convert() (uint64, uint64, uint64, []uint64, error) {
|
|
s.FieldsMap = map[string]uint16{}
|
|
|
|
s.getOrDefineField("_id") // _id field is fieldID 0
|
|
|
|
for _, result := range s.results {
|
|
result.VisitComposite(func(field index.CompositeField) {
|
|
s.getOrDefineField(field.Name())
|
|
})
|
|
result.VisitFields(func(field index.Field) {
|
|
s.getOrDefineField(field.Name())
|
|
})
|
|
}
|
|
|
|
sort.Strings(s.FieldsInv[1:]) // keep _id as first field
|
|
|
|
for fieldID, fieldName := range s.FieldsInv {
|
|
s.FieldsMap[fieldName] = uint16(fieldID + 1)
|
|
}
|
|
|
|
if cap(s.IncludeDocValues) >= len(s.FieldsInv) {
|
|
s.IncludeDocValues = s.IncludeDocValues[:len(s.FieldsInv)]
|
|
} else {
|
|
s.IncludeDocValues = make([]bool, len(s.FieldsInv))
|
|
}
|
|
|
|
s.prepareDicts()
|
|
|
|
for _, dict := range s.DictKeys {
|
|
sort.Strings(dict)
|
|
}
|
|
|
|
s.processDocuments()
|
|
|
|
storedIndexOffset, err := s.writeStoredFields()
|
|
if err != nil {
|
|
return 0, 0, 0, nil, err
|
|
}
|
|
|
|
var fdvIndexOffset uint64
|
|
var dictOffsets []uint64
|
|
|
|
if len(s.results) > 0 {
|
|
fdvIndexOffset, dictOffsets, err = s.writeDicts()
|
|
if err != nil {
|
|
return 0, 0, 0, nil, err
|
|
}
|
|
} else {
|
|
dictOffsets = make([]uint64, len(s.FieldsInv))
|
|
}
|
|
|
|
fieldsIndexOffset, err := persistFields(s.FieldsInv, s.w, dictOffsets)
|
|
if err != nil {
|
|
return 0, 0, 0, nil, err
|
|
}
|
|
|
|
return storedIndexOffset, fieldsIndexOffset, fdvIndexOffset, dictOffsets, nil
|
|
}
|
|
|
|
func (s *interim) getOrDefineField(fieldName string) int {
|
|
fieldIDPlus1, exists := s.FieldsMap[fieldName]
|
|
if !exists {
|
|
fieldIDPlus1 = uint16(len(s.FieldsInv) + 1)
|
|
s.FieldsMap[fieldName] = fieldIDPlus1
|
|
s.FieldsInv = append(s.FieldsInv, fieldName)
|
|
|
|
s.Dicts = append(s.Dicts, make(map[string]uint64))
|
|
|
|
n := len(s.DictKeys)
|
|
if n < cap(s.DictKeys) {
|
|
s.DictKeys = s.DictKeys[:n+1]
|
|
s.DictKeys[n] = s.DictKeys[n][:0]
|
|
} else {
|
|
s.DictKeys = append(s.DictKeys, []string(nil))
|
|
}
|
|
}
|
|
|
|
return int(fieldIDPlus1 - 1)
|
|
}
|
|
|
|
// fill Dicts and DictKeys from analysis results
|
|
func (s *interim) prepareDicts() {
|
|
var pidNext int
|
|
|
|
var totTFs int
|
|
var totLocs int
|
|
|
|
visitField := func(field index.Field) {
|
|
fieldID := uint16(s.getOrDefineField(field.Name()))
|
|
|
|
dict := s.Dicts[fieldID]
|
|
dictKeys := s.DictKeys[fieldID]
|
|
|
|
tfs := field.AnalyzedTokenFrequencies()
|
|
for term, tf := range tfs {
|
|
pidPlus1, exists := dict[term]
|
|
if !exists {
|
|
pidNext++
|
|
pidPlus1 = uint64(pidNext)
|
|
|
|
dict[term] = pidPlus1
|
|
dictKeys = append(dictKeys, term)
|
|
|
|
s.numTermsPerPostingsList = append(s.numTermsPerPostingsList, 0)
|
|
s.numLocsPerPostingsList = append(s.numLocsPerPostingsList, 0)
|
|
}
|
|
|
|
pid := pidPlus1 - 1
|
|
|
|
s.numTermsPerPostingsList[pid] += 1
|
|
s.numLocsPerPostingsList[pid] += len(tf.Locations)
|
|
|
|
totLocs += len(tf.Locations)
|
|
}
|
|
|
|
totTFs += len(tfs)
|
|
|
|
s.DictKeys[fieldID] = dictKeys
|
|
}
|
|
|
|
for _, result := range s.results {
|
|
// walk each composite field
|
|
result.VisitComposite(func(field index.CompositeField) {
|
|
visitField(field)
|
|
})
|
|
|
|
// walk each field
|
|
result.VisitFields(visitField)
|
|
}
|
|
|
|
numPostingsLists := pidNext
|
|
|
|
if cap(s.Postings) >= numPostingsLists {
|
|
s.Postings = s.Postings[:numPostingsLists]
|
|
} else {
|
|
postings := make([]*roaring.Bitmap, numPostingsLists)
|
|
copy(postings, s.Postings[:cap(s.Postings)])
|
|
for i := 0; i < numPostingsLists; i++ {
|
|
if postings[i] == nil {
|
|
postings[i] = roaring.New()
|
|
}
|
|
}
|
|
s.Postings = postings
|
|
}
|
|
|
|
if cap(s.FreqNorms) >= numPostingsLists {
|
|
s.FreqNorms = s.FreqNorms[:numPostingsLists]
|
|
} else {
|
|
s.FreqNorms = make([][]interimFreqNorm, numPostingsLists)
|
|
}
|
|
|
|
if cap(s.freqNormsBacking) >= totTFs {
|
|
s.freqNormsBacking = s.freqNormsBacking[:totTFs]
|
|
} else {
|
|
s.freqNormsBacking = make([]interimFreqNorm, totTFs)
|
|
}
|
|
|
|
freqNormsBacking := s.freqNormsBacking
|
|
for pid, numTerms := range s.numTermsPerPostingsList {
|
|
s.FreqNorms[pid] = freqNormsBacking[0:0]
|
|
freqNormsBacking = freqNormsBacking[numTerms:]
|
|
}
|
|
|
|
if cap(s.Locs) >= numPostingsLists {
|
|
s.Locs = s.Locs[:numPostingsLists]
|
|
} else {
|
|
s.Locs = make([][]interimLoc, numPostingsLists)
|
|
}
|
|
|
|
if cap(s.locsBacking) >= totLocs {
|
|
s.locsBacking = s.locsBacking[:totLocs]
|
|
} else {
|
|
s.locsBacking = make([]interimLoc, totLocs)
|
|
}
|
|
|
|
locsBacking := s.locsBacking
|
|
for pid, numLocs := range s.numLocsPerPostingsList {
|
|
s.Locs[pid] = locsBacking[0:0]
|
|
locsBacking = locsBacking[numLocs:]
|
|
}
|
|
}
|
|
|
|
func (s *interim) processDocuments() {
|
|
numFields := len(s.FieldsInv)
|
|
reuseFieldLens := make([]int, numFields)
|
|
reuseFieldTFs := make([]index.TokenFrequencies, numFields)
|
|
|
|
for docNum, result := range s.results {
|
|
for i := 0; i < numFields; i++ { // clear these for reuse
|
|
reuseFieldLens[i] = 0
|
|
reuseFieldTFs[i] = nil
|
|
}
|
|
|
|
s.processDocument(uint64(docNum), result,
|
|
reuseFieldLens, reuseFieldTFs)
|
|
}
|
|
}
|
|
|
|
func (s *interim) processDocument(docNum uint64,
|
|
result index.Document,
|
|
fieldLens []int, fieldTFs []index.TokenFrequencies) {
|
|
visitField := func(field index.Field) {
|
|
fieldID := uint16(s.getOrDefineField(field.Name()))
|
|
fieldLens[fieldID] += field.AnalyzedLength()
|
|
|
|
existingFreqs := fieldTFs[fieldID]
|
|
if existingFreqs != nil {
|
|
existingFreqs.MergeAll(field.Name(), field.AnalyzedTokenFrequencies())
|
|
} else {
|
|
fieldTFs[fieldID] = field.AnalyzedTokenFrequencies()
|
|
}
|
|
}
|
|
|
|
// walk each composite field
|
|
result.VisitComposite(func(field index.CompositeField) {
|
|
visitField(field)
|
|
})
|
|
|
|
// walk each field
|
|
result.VisitFields(visitField)
|
|
|
|
// now that it's been rolled up into fieldTFs, walk that
|
|
for fieldID, tfs := range fieldTFs {
|
|
dict := s.Dicts[fieldID]
|
|
norm := float32(1.0 / math.Sqrt(float64(fieldLens[fieldID])))
|
|
|
|
for term, tf := range tfs {
|
|
pid := dict[term] - 1
|
|
bs := s.Postings[pid]
|
|
bs.Add(uint32(docNum))
|
|
|
|
s.FreqNorms[pid] = append(s.FreqNorms[pid],
|
|
interimFreqNorm{
|
|
freq: uint64(tf.Frequency()),
|
|
norm: norm,
|
|
numLocs: len(tf.Locations),
|
|
})
|
|
|
|
if len(tf.Locations) > 0 {
|
|
locs := s.Locs[pid]
|
|
|
|
for _, loc := range tf.Locations {
|
|
var locf = uint16(fieldID)
|
|
if loc.Field != "" {
|
|
locf = uint16(s.getOrDefineField(loc.Field))
|
|
}
|
|
var arrayposs []uint64
|
|
if len(loc.ArrayPositions) > 0 {
|
|
arrayposs = loc.ArrayPositions
|
|
}
|
|
locs = append(locs, interimLoc{
|
|
fieldID: locf,
|
|
pos: uint64(loc.Position),
|
|
start: uint64(loc.Start),
|
|
end: uint64(loc.End),
|
|
arrayposs: arrayposs,
|
|
})
|
|
}
|
|
|
|
s.Locs[pid] = locs
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
func (s *interim) writeStoredFields() (
|
|
storedIndexOffset uint64, err error) {
|
|
varBuf := make([]byte, binary.MaxVarintLen64)
|
|
metaEncode := func(val uint64) (int, error) {
|
|
wb := binary.PutUvarint(varBuf, val)
|
|
return s.metaBuf.Write(varBuf[:wb])
|
|
}
|
|
|
|
data, compressed := s.tmp0[:0], s.tmp1[:0]
|
|
defer func() { s.tmp0, s.tmp1 = data, compressed }()
|
|
|
|
// keyed by docNum
|
|
docStoredOffsets := make([]uint64, len(s.results))
|
|
|
|
// keyed by fieldID, for the current doc in the loop
|
|
docStoredFields := map[uint16]interimStoredField{}
|
|
|
|
for docNum, result := range s.results {
|
|
for fieldID := range docStoredFields { // reset for next doc
|
|
delete(docStoredFields, fieldID)
|
|
}
|
|
|
|
var validationErr error
|
|
result.VisitFields(func(field index.Field) {
|
|
fieldID := uint16(s.getOrDefineField(field.Name()))
|
|
|
|
if field.Options().IsStored() {
|
|
isf := docStoredFields[fieldID]
|
|
isf.vals = append(isf.vals, field.Value())
|
|
isf.typs = append(isf.typs, field.EncodedFieldType())
|
|
isf.arrayposs = append(isf.arrayposs, field.ArrayPositions())
|
|
docStoredFields[fieldID] = isf
|
|
}
|
|
|
|
if field.Options().IncludeDocValues() {
|
|
s.IncludeDocValues[fieldID] = true
|
|
}
|
|
|
|
err := ValidateDocFields(field)
|
|
if err != nil && validationErr == nil {
|
|
validationErr = err
|
|
}
|
|
})
|
|
if validationErr != nil {
|
|
return 0, validationErr
|
|
}
|
|
|
|
var curr int
|
|
|
|
s.metaBuf.Reset()
|
|
data = data[:0]
|
|
|
|
// _id field special case optimizes ExternalID() lookups
|
|
idFieldVal := docStoredFields[uint16(0)].vals[0]
|
|
_, err = metaEncode(uint64(len(idFieldVal)))
|
|
if err != nil {
|
|
return 0, err
|
|
}
|
|
|
|
// handle non-"_id" fields
|
|
for fieldID := 1; fieldID < len(s.FieldsInv); fieldID++ {
|
|
isf, exists := docStoredFields[uint16(fieldID)]
|
|
if exists {
|
|
curr, data, err = persistStoredFieldValues(
|
|
fieldID, isf.vals, isf.typs, isf.arrayposs,
|
|
curr, metaEncode, data)
|
|
if err != nil {
|
|
return 0, err
|
|
}
|
|
}
|
|
}
|
|
|
|
metaBytes := s.metaBuf.Bytes()
|
|
|
|
compressed = snappy.Encode(compressed[:cap(compressed)], data)
|
|
|
|
docStoredOffsets[docNum] = uint64(s.w.Count())
|
|
|
|
_, err := writeUvarints(s.w,
|
|
uint64(len(metaBytes)),
|
|
uint64(len(idFieldVal)+len(compressed)))
|
|
if err != nil {
|
|
return 0, err
|
|
}
|
|
|
|
_, err = s.w.Write(metaBytes)
|
|
if err != nil {
|
|
return 0, err
|
|
}
|
|
|
|
_, err = s.w.Write(idFieldVal)
|
|
if err != nil {
|
|
return 0, err
|
|
}
|
|
|
|
_, err = s.w.Write(compressed)
|
|
if err != nil {
|
|
return 0, err
|
|
}
|
|
}
|
|
|
|
storedIndexOffset = uint64(s.w.Count())
|
|
|
|
for _, docStoredOffset := range docStoredOffsets {
|
|
err = binary.Write(s.w, binary.BigEndian, docStoredOffset)
|
|
if err != nil {
|
|
return 0, err
|
|
}
|
|
}
|
|
|
|
return storedIndexOffset, nil
|
|
}
|
|
|
|
func (s *interim) writeDicts() (fdvIndexOffset uint64, dictOffsets []uint64, err error) {
|
|
dictOffsets = make([]uint64, len(s.FieldsInv))
|
|
|
|
fdvOffsetsStart := make([]uint64, len(s.FieldsInv))
|
|
fdvOffsetsEnd := make([]uint64, len(s.FieldsInv))
|
|
|
|
buf := s.grabBuf(binary.MaxVarintLen64)
|
|
|
|
// 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(1024, uint64(len(s.results)-1))
|
|
locEncoder := newChunkedIntCoder(1024, uint64(len(s.results)-1))
|
|
|
|
var docTermMap [][]byte
|
|
|
|
if s.builder == nil {
|
|
s.builder, err = vellum.New(&s.builderBuf, nil)
|
|
if err != nil {
|
|
return 0, nil, err
|
|
}
|
|
}
|
|
|
|
for fieldID, terms := range s.DictKeys {
|
|
if cap(docTermMap) < len(s.results) {
|
|
docTermMap = make([][]byte, len(s.results))
|
|
} else {
|
|
docTermMap = docTermMap[0:len(s.results)]
|
|
for docNum := range docTermMap { // reset the docTermMap
|
|
docTermMap[docNum] = docTermMap[docNum][:0]
|
|
}
|
|
}
|
|
|
|
dict := s.Dicts[fieldID]
|
|
|
|
for _, term := range terms { // terms are already sorted
|
|
pid := dict[term] - 1
|
|
|
|
postingsBS := s.Postings[pid]
|
|
|
|
freqNorms := s.FreqNorms[pid]
|
|
freqNormOffset := 0
|
|
|
|
locs := s.Locs[pid]
|
|
locOffset := 0
|
|
|
|
chunkSize, err := getChunkSize(s.chunkMode, postingsBS.GetCardinality(), uint64(len(s.results)))
|
|
if err != nil {
|
|
return 0, nil, err
|
|
}
|
|
tfEncoder.SetChunkSize(chunkSize, uint64(len(s.results)-1))
|
|
locEncoder.SetChunkSize(chunkSize, uint64(len(s.results)-1))
|
|
|
|
postingsItr := postingsBS.Iterator()
|
|
for postingsItr.HasNext() {
|
|
docNum := uint64(postingsItr.Next())
|
|
|
|
freqNorm := freqNorms[freqNormOffset]
|
|
|
|
err = tfEncoder.Add(docNum,
|
|
encodeFreqHasLocs(freqNorm.freq, freqNorm.numLocs > 0),
|
|
uint64(math.Float32bits(freqNorm.norm)))
|
|
if err != nil {
|
|
return 0, nil, err
|
|
}
|
|
|
|
if freqNorm.numLocs > 0 {
|
|
numBytesLocs := 0
|
|
for _, loc := range locs[locOffset : locOffset+freqNorm.numLocs] {
|
|
numBytesLocs += totalUvarintBytes(
|
|
uint64(loc.fieldID), loc.pos, loc.start, loc.end,
|
|
uint64(len(loc.arrayposs)), loc.arrayposs)
|
|
}
|
|
|
|
err = locEncoder.Add(docNum, uint64(numBytesLocs))
|
|
if err != nil {
|
|
return 0, nil, err
|
|
}
|
|
|
|
for _, loc := range locs[locOffset : locOffset+freqNorm.numLocs] {
|
|
err = locEncoder.Add(docNum,
|
|
uint64(loc.fieldID), loc.pos, loc.start, loc.end,
|
|
uint64(len(loc.arrayposs)))
|
|
if err != nil {
|
|
return 0, nil, err
|
|
}
|
|
|
|
err = locEncoder.Add(docNum, loc.arrayposs...)
|
|
if err != nil {
|
|
return 0, nil, err
|
|
}
|
|
}
|
|
|
|
locOffset += freqNorm.numLocs
|
|
}
|
|
|
|
freqNormOffset++
|
|
|
|
docTermMap[docNum] = append(
|
|
append(docTermMap[docNum], term...),
|
|
termSeparator)
|
|
}
|
|
|
|
tfEncoder.Close()
|
|
locEncoder.Close()
|
|
|
|
postingsOffset, err :=
|
|
writePostings(postingsBS, tfEncoder, locEncoder, nil, s.w, buf)
|
|
if err != nil {
|
|
return 0, nil, err
|
|
}
|
|
|
|
if postingsOffset > uint64(0) {
|
|
err = s.builder.Insert([]byte(term), postingsOffset)
|
|
if err != nil {
|
|
return 0, nil, err
|
|
}
|
|
}
|
|
|
|
tfEncoder.Reset()
|
|
locEncoder.Reset()
|
|
}
|
|
|
|
err = s.builder.Close()
|
|
if err != nil {
|
|
return 0, nil, err
|
|
}
|
|
|
|
// record where this dictionary starts
|
|
dictOffsets[fieldID] = uint64(s.w.Count())
|
|
|
|
vellumData := s.builderBuf.Bytes()
|
|
|
|
// write out the length of the vellum data
|
|
n := binary.PutUvarint(buf, uint64(len(vellumData)))
|
|
_, err = s.w.Write(buf[:n])
|
|
if err != nil {
|
|
return 0, nil, err
|
|
}
|
|
|
|
// write this vellum to disk
|
|
_, err = s.w.Write(vellumData)
|
|
if err != nil {
|
|
return 0, nil, err
|
|
}
|
|
|
|
// reset vellum for reuse
|
|
s.builderBuf.Reset()
|
|
|
|
err = s.builder.Reset(&s.builderBuf)
|
|
if err != nil {
|
|
return 0, nil, err
|
|
}
|
|
|
|
// write the field doc values
|
|
// NOTE: doc values continue to use legacy chunk mode
|
|
chunkSize, err := getChunkSize(LegacyChunkMode, 0, 0)
|
|
if err != nil {
|
|
return 0, nil, err
|
|
}
|
|
fdvEncoder := newChunkedContentCoder(chunkSize, uint64(len(s.results)-1), s.w, false)
|
|
if s.IncludeDocValues[fieldID] {
|
|
for docNum, docTerms := range docTermMap {
|
|
if len(docTerms) > 0 {
|
|
err = fdvEncoder.Add(uint64(docNum), docTerms)
|
|
if err != nil {
|
|
return 0, nil, err
|
|
}
|
|
}
|
|
}
|
|
err = fdvEncoder.Close()
|
|
if err != nil {
|
|
return 0, nil, err
|
|
}
|
|
|
|
fdvOffsetsStart[fieldID] = uint64(s.w.Count())
|
|
|
|
_, err = fdvEncoder.Write()
|
|
if err != nil {
|
|
return 0, nil, err
|
|
}
|
|
|
|
fdvOffsetsEnd[fieldID] = uint64(s.w.Count())
|
|
|
|
fdvEncoder.Reset()
|
|
} else {
|
|
fdvOffsetsStart[fieldID] = fieldNotUninverted
|
|
fdvOffsetsEnd[fieldID] = fieldNotUninverted
|
|
}
|
|
}
|
|
|
|
fdvIndexOffset = uint64(s.w.Count())
|
|
|
|
for i := 0; i < len(fdvOffsetsStart); i++ {
|
|
n := binary.PutUvarint(buf, fdvOffsetsStart[i])
|
|
_, err := s.w.Write(buf[:n])
|
|
if err != nil {
|
|
return 0, nil, err
|
|
}
|
|
n = binary.PutUvarint(buf, fdvOffsetsEnd[i])
|
|
_, err = s.w.Write(buf[:n])
|
|
if err != nil {
|
|
return 0, nil, err
|
|
}
|
|
}
|
|
|
|
return fdvIndexOffset, dictOffsets, nil
|
|
}
|
|
|
|
// returns the total # of bytes needed to encode the given uint64's
|
|
// into binary.PutUVarint() encoding
|
|
func totalUvarintBytes(a, b, c, d, e uint64, more []uint64) (n int) {
|
|
n = numUvarintBytes(a)
|
|
n += numUvarintBytes(b)
|
|
n += numUvarintBytes(c)
|
|
n += numUvarintBytes(d)
|
|
n += numUvarintBytes(e)
|
|
for _, v := range more {
|
|
n += numUvarintBytes(v)
|
|
}
|
|
return n
|
|
}
|
|
|
|
// returns # of bytes needed to encode x in binary.PutUvarint() encoding
|
|
func numUvarintBytes(x uint64) (n int) {
|
|
for x >= 0x80 {
|
|
x >>= 7
|
|
n++
|
|
}
|
|
return n + 1
|
|
}
|