scorch zap AnalysisResultsToSegmentBase()
AnalysisResultsToSegmentBase() allows analysis results to be directly converted into a zap-encoded SegmentBase, which can then be introduced onto the root, avoiding the creation of mem.Segment data structures. This leads to some reduction of garbage memory allocations. The grouping and sorting and shaping of the postings list information is taken from the mem.Segment codepaths. The encoding of stored fields reuses functions from zap's merger, which has the largest savings of garbage memory avoidance. And, the encoding of tf/loc chunks, postings & dictionary information also follows the approach used by zap's merger, which also has some savings of garbage memory avoidance. In future changes, the mem.Segment dependencies will be removed from zap, which should result in a smaller codebase.
This commit is contained in:
Steve Yen
parent
3884cf4d12
commit
e82774ad20
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@ -28,7 +28,6 @@ import (
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"github.com/blevesearch/bleve/document"
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"github.com/blevesearch/bleve/index"
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"github.com/blevesearch/bleve/index/scorch/segment"
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"github.com/blevesearch/bleve/index/scorch/segment/mem"
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"github.com/blevesearch/bleve/index/scorch/segment/zap"
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"github.com/blevesearch/bleve/index/store"
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"github.com/blevesearch/bleve/registry"
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@ -289,7 +288,7 @@ func (s *Scorch) Batch(batch *index.Batch) (err error) {
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var newSegment segment.Segment
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if len(analysisResults) > 0 {
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newSegment, err = zap.NewSegmentBase(mem.NewFromAnalyzedDocs(analysisResults), DefaultChunkFactor)
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newSegment, err = zap.AnalysisResultsToSegmentBase(analysisResults, DefaultChunkFactor)
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if err != nil {
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return err
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}
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@ -0,0 +1,659 @@
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// Copyright (c) 2018 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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"bytes"
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"encoding/binary"
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"math"
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"sort"
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"github.com/RoaringBitmap/roaring"
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"github.com/Smerity/govarint"
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"github.com/blevesearch/bleve/analysis"
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"github.com/blevesearch/bleve/document"
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"github.com/blevesearch/bleve/index"
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"github.com/couchbase/vellum"
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"github.com/golang/snappy"
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)
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// AnalysisResultsToSegmentBase produces an in-memory zap-encoded
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// SegmentBase from analysis results
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func AnalysisResultsToSegmentBase(results []*index.AnalysisResult,
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chunkFactor uint32) (*SegmentBase, error) {
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var br bytes.Buffer
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s := interim{
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results: results,
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chunkFactor: chunkFactor,
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w: NewCountHashWriter(&br),
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FieldsMap: map[string]uint16{},
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}
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storedIndexOffset, fieldsIndexOffset, fdvIndexOffset, dictOffsets,
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err := s.convert()
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if err != nil {
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return nil, err
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}
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sb, err := InitSegmentBase(br.Bytes(), s.w.Sum32(), chunkFactor,
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s.FieldsMap, s.FieldsInv, uint64(len(results)),
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storedIndexOffset, fieldsIndexOffset, fdvIndexOffset, dictOffsets)
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return sb, err
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}
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// interim holds temporary working data used while converting from
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// analysis results to a zap-encoded segment
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type interim struct {
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results []*index.AnalysisResult
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chunkFactor uint32
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w *CountHashWriter
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// FieldsMap adds 1 to field id to avoid zero value issues
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// name -> field id + 1
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FieldsMap map[string]uint16
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// FieldsInv is the inverse of FieldsMap
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// field id -> name
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FieldsInv []string
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// Term dictionaries for each field
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// field id -> term -> postings list id + 1
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Dicts []map[string]uint64
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// Terms for each field, where terms are sorted ascending
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// field id -> []term
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DictKeys [][]string
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// Fields whose IncludeDocValues is true
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// field id -> bool
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IncludeDocValues []bool
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// postings id -> bitmap of docNums
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Postings []*roaring.Bitmap
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// postings id -> bitmap of docNums that have locations
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PostingsLocs []*roaring.Bitmap
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// postings id -> freq/norm's, one for each docNum in postings
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FreqNorms [][]interimFreqNorm
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// postings id -> locs, one for each freq
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Locs [][]interimLoc
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buf0 bytes.Buffer
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tmp0 []byte
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tmp1 []byte
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}
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func (s *interim) grabBuf(size int) []byte {
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buf := s.tmp0
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if cap(buf) < size {
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buf = make([]byte, size)
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s.tmp0 = buf
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}
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return buf[0:size]
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}
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type interimStoredField struct {
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vals [][]byte
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typs []byte
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arrayposs [][]uint64 // array positions
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}
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type interimFreqNorm struct {
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freq uint64
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norm float32
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}
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type interimLoc struct {
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fieldID uint16
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pos uint64
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start uint64
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end uint64
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arrayposs []uint64
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}
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func (s *interim) convert() (uint64, uint64, uint64, []uint64, error) {
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s.getOrDefineField("_id") // _id field is fieldID 0
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for _, result := range s.results {
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for _, field := range result.Document.CompositeFields {
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s.getOrDefineField(field.Name())
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}
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for _, field := range result.Document.Fields {
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s.getOrDefineField(field.Name())
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}
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}
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sort.Strings(s.FieldsInv[1:]) // keep _id as first field
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s.FieldsMap = make(map[string]uint16, len(s.FieldsInv))
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for fieldID, fieldName := range s.FieldsInv {
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s.FieldsMap[fieldName] = uint16(fieldID + 1)
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}
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s.IncludeDocValues = make([]bool, len(s.FieldsInv))
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s.prepareDicts()
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for _, dict := range s.DictKeys {
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sort.Strings(dict)
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}
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s.processDocuments()
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storedIndexOffset, err := s.writeStoredFields()
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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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var fdvIndexOffset uint64
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var dictOffsets []uint64
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if len(s.results) > 0 {
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fdvIndexOffset, dictOffsets, err = s.writeDicts()
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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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} else {
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dictOffsets = make([]uint64, len(s.FieldsInv))
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}
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fieldsIndexOffset, err := persistFields(s.FieldsInv, s.w, dictOffsets)
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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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return storedIndexOffset, fieldsIndexOffset, fdvIndexOffset, dictOffsets, nil
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}
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func (s *interim) getOrDefineField(fieldName string) int {
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fieldIDPlus1, exists := s.FieldsMap[fieldName]
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if !exists {
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fieldIDPlus1 = uint16(len(s.FieldsInv) + 1)
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s.FieldsMap[fieldName] = fieldIDPlus1
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s.FieldsInv = append(s.FieldsInv, fieldName)
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s.Dicts = append(s.Dicts, make(map[string]uint64))
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s.DictKeys = append(s.DictKeys, make([]string, 0))
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}
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return int(fieldIDPlus1 - 1)
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}
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// fill Dicts and DictKeys from analysis results
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func (s *interim) prepareDicts() {
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var pidNext int
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numTermsPerPostingsList := make([]int, 0, 64) // key is postings list id
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numLocsPerPostingsList := make([]int, 0, 64) // key is postings list id
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var totTFs int
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var totLocs int
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visitField := func(fieldID uint16, tfs analysis.TokenFrequencies) {
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dict := s.Dicts[fieldID]
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dictKeys := s.DictKeys[fieldID]
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for term, tf := range tfs {
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pidPlus1, exists := dict[term]
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if !exists {
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pidNext++
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pidPlus1 = uint64(pidNext)
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dict[term] = pidPlus1
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dictKeys = append(dictKeys, term)
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numTermsPerPostingsList = append(numTermsPerPostingsList, 0)
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numLocsPerPostingsList = append(numLocsPerPostingsList, 0)
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}
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pid := pidPlus1 - 1
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numTermsPerPostingsList[pid] += 1
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numLocsPerPostingsList[pid] += len(tf.Locations)
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totLocs += len(tf.Locations)
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}
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totTFs += len(tfs)
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s.DictKeys[fieldID] = dictKeys
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}
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for _, result := range s.results {
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// walk each composite field
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for _, field := range result.Document.CompositeFields {
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fieldID := uint16(s.getOrDefineField(field.Name()))
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_, tf := field.Analyze()
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visitField(fieldID, tf)
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}
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// walk each field
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for i, field := range result.Document.Fields {
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fieldID := uint16(s.getOrDefineField(field.Name()))
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tf := result.Analyzed[i]
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visitField(fieldID, tf)
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}
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}
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numPostingsLists := pidNext
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s.Postings = make([]*roaring.Bitmap, numPostingsLists)
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for i := 0; i < numPostingsLists; i++ {
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s.Postings[i] = roaring.New()
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}
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s.PostingsLocs = make([]*roaring.Bitmap, numPostingsLists)
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for i := 0; i < numPostingsLists; i++ {
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s.PostingsLocs[i] = roaring.New()
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}
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s.FreqNorms = make([][]interimFreqNorm, numPostingsLists)
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freqNormsBacking := make([]interimFreqNorm, totTFs)
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for pid, numTerms := range numTermsPerPostingsList {
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s.FreqNorms[pid] = freqNormsBacking[0:0]
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freqNormsBacking = freqNormsBacking[numTerms:]
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}
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s.Locs = make([][]interimLoc, numPostingsLists)
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locsBacking := make([]interimLoc, totLocs)
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for pid, numLocs := range numLocsPerPostingsList {
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s.Locs[pid] = locsBacking[0:0]
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locsBacking = locsBacking[numLocs:]
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}
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}
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func (s *interim) processDocuments() {
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numFields := len(s.FieldsInv)
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reuseFieldLens := make([]int, numFields)
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reuseFieldTFs := make([]analysis.TokenFrequencies, numFields)
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for docNum, result := range s.results {
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for i := 0; i < numFields; i++ { // clear these for reuse
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reuseFieldLens[i] = 0
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reuseFieldTFs[i] = nil
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}
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s.processDocument(uint64(docNum), result,
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reuseFieldLens, reuseFieldTFs)
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}
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}
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func (s *interim) processDocument(docNum uint64,
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result *index.AnalysisResult,
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fieldLens []int, fieldTFs []analysis.TokenFrequencies) {
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visitField := func(fieldID uint16, fieldName string,
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ln int, tf analysis.TokenFrequencies) {
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fieldLens[fieldID] += ln
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existingFreqs := fieldTFs[fieldID]
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if existingFreqs != nil {
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existingFreqs.MergeAll(fieldName, tf)
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} else {
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fieldTFs[fieldID] = tf
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}
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}
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// walk each composite field
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for _, field := range result.Document.CompositeFields {
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fieldID := uint16(s.getOrDefineField(field.Name()))
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ln, tf := field.Analyze()
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visitField(fieldID, field.Name(), ln, tf)
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}
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// walk each field
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for i, field := range result.Document.Fields {
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fieldID := uint16(s.getOrDefineField(field.Name()))
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ln := result.Length[i]
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tf := result.Analyzed[i]
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visitField(fieldID, field.Name(), ln, tf)
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}
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// now that it's been rolled up into fieldTFs, walk that
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for fieldID, tfs := range fieldTFs {
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dict := s.Dicts[fieldID]
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norm := float32(1.0 / math.Sqrt(float64(fieldLens[fieldID])))
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for term, tf := range tfs {
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pid := dict[term] - 1
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bs := s.Postings[pid]
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bs.AddInt(int(docNum))
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s.FreqNorms[pid] = append(s.FreqNorms[pid],
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interimFreqNorm{
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freq: uint64(tf.Frequency()),
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norm: norm,
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})
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if len(tf.Locations) > 0 {
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locBS := s.PostingsLocs[pid]
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locBS.AddInt(int(docNum))
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locs := s.Locs[pid]
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for _, loc := range tf.Locations {
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var locf = uint16(fieldID)
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if loc.Field != "" {
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locf = uint16(s.getOrDefineField(loc.Field))
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}
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var arrayposs []uint64
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if len(loc.ArrayPositions) > 0 {
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arrayposs = loc.ArrayPositions
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}
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locs = append(locs, interimLoc{
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fieldID: locf,
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pos: uint64(loc.Position),
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start: uint64(loc.Start),
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end: uint64(loc.End),
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arrayposs: arrayposs,
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})
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}
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s.Locs[pid] = locs
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}
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}
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}
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}
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func (s *interim) writeStoredFields() (
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storedIndexOffset uint64, err error) {
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metaBuf := &s.buf0
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metaEncoder := govarint.NewU64Base128Encoder(metaBuf)
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data, compressed := s.tmp0[:0], s.tmp1[:0]
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defer func() { s.tmp0, s.tmp1 = data, compressed }()
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// keyed by docNum
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docStoredOffsets := make([]uint64, len(s.results))
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// keyed by fieldID, for the current doc in the loop
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docStoredFields := map[uint16]interimStoredField{}
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for docNum, result := range s.results {
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for fieldID := range docStoredFields { // reset for next doc
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delete(docStoredFields, fieldID)
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}
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for _, field := range result.Document.Fields {
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fieldID := uint16(s.getOrDefineField(field.Name()))
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opts := field.Options()
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if opts.IsStored() {
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isf := docStoredFields[fieldID]
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isf.vals = append(isf.vals, field.Value())
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isf.typs = append(isf.typs, encodeFieldType(field))
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isf.arrayposs = append(isf.arrayposs, field.ArrayPositions())
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docStoredFields[fieldID] = isf
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}
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if opts.IncludeDocValues() {
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s.IncludeDocValues[fieldID] = true
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}
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}
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var curr int
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metaBuf.Reset()
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data = data[:0]
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compressed = compressed[:0]
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for fieldID := range s.FieldsInv {
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isf, exists := docStoredFields[uint16(fieldID)]
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if exists {
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curr, data, err = persistStoredFieldValues(
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fieldID, isf.vals, isf.typs, isf.arrayposs,
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curr, metaEncoder, data)
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if err != nil {
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return 0, err
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}
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}
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}
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metaEncoder.Close()
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metaBytes := metaBuf.Bytes()
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compressed = snappy.Encode(compressed, data)
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docStoredOffsets[docNum] = uint64(s.w.Count())
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_, err := writeUvarints(s.w,
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uint64(len(metaBytes)),
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uint64(len(compressed)))
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if err != nil {
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return 0, err
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}
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_, err = s.w.Write(metaBytes)
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if err != nil {
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return 0, err
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}
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_, err = s.w.Write(compressed)
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if err != nil {
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return 0, err
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}
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}
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storedIndexOffset = uint64(s.w.Count())
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for _, docStoredOffset := range docStoredOffsets {
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err = binary.Write(s.w, binary.BigEndian, docStoredOffset)
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if err != nil {
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return 0, err
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}
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}
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return storedIndexOffset, nil
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}
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func (s *interim) writeDicts() (uint64, []uint64, error) {
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dictOffsets := make([]uint64, len(s.FieldsInv))
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fdvOffsets := make([]uint64, len(s.FieldsInv))
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buf := s.grabBuf(binary.MaxVarintLen64)
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tfEncoder := newChunkedIntCoder(uint64(s.chunkFactor), uint64(len(s.results)-1))
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locEncoder := newChunkedIntCoder(uint64(s.chunkFactor), uint64(len(s.results)-1))
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||||
fdvEncoder := newChunkedContentCoder(uint64(s.chunkFactor), uint64(len(s.results)-1))
|
||||
|
||||
var docTermMap [][]byte
|
||||
|
||||
s.buf0.Reset()
|
||||
builder, err := vellum.New(&s.buf0, 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]
|
||||
postingsLocsBS := s.PostingsLocs[pid]
|
||||
|
||||
freqNorms := s.FreqNorms[pid]
|
||||
freqNormOffset := 0
|
||||
|
||||
locs := s.Locs[pid]
|
||||
locOffset := 0
|
||||
|
||||
postingsItr := postingsBS.Iterator()
|
||||
for postingsItr.HasNext() {
|
||||
docNum := uint64(postingsItr.Next())
|
||||
|
||||
freqNorm := freqNorms[freqNormOffset]
|
||||
|
||||
err = tfEncoder.Add(docNum, freqNorm.freq,
|
||||
uint64(math.Float32bits(freqNorm.norm)))
|
||||
if err != nil {
|
||||
return 0, nil, err
|
||||
}
|
||||
|
||||
for i := uint64(0); i < freqNorm.freq; i++ {
|
||||
if len(locs) > 0 {
|
||||
loc := locs[locOffset]
|
||||
|
||||
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++
|
||||
}
|
||||
|
||||
freqNormOffset++
|
||||
|
||||
docTermMap[docNum] = append(
|
||||
append(docTermMap[docNum], term...),
|
||||
termSeparator)
|
||||
}
|
||||
|
||||
tfEncoder.Close()
|
||||
locEncoder.Close()
|
||||
|
||||
postingsOffset, err := writePostings(
|
||||
postingsBS, postingsLocsBS, tfEncoder, locEncoder,
|
||||
nil, s.w, buf)
|
||||
if err != nil {
|
||||
return 0, nil, err
|
||||
}
|
||||
|
||||
if postingsOffset > uint64(0) {
|
||||
err = builder.Insert([]byte(term), postingsOffset)
|
||||
if err != nil {
|
||||
return 0, nil, err
|
||||
}
|
||||
}
|
||||
|
||||
tfEncoder.Reset()
|
||||
locEncoder.Reset()
|
||||
}
|
||||
|
||||
err = builder.Close()
|
||||
if err != nil {
|
||||
return 0, nil, err
|
||||
}
|
||||
|
||||
// record where this dictionary starts
|
||||
dictOffsets[fieldID] = uint64(s.w.Count())
|
||||
|
||||
vellumData := s.buf0.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.buf0.Reset()
|
||||
|
||||
err = builder.Reset(&s.buf0)
|
||||
if err != nil {
|
||||
return 0, nil, err
|
||||
}
|
||||
|
||||
// write the field doc values
|
||||
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
|
||||
}
|
||||
|
||||
fdvOffsets[fieldID] = uint64(s.w.Count())
|
||||
|
||||
_, err = fdvEncoder.Write(s.w)
|
||||
if err != nil {
|
||||
return 0, nil, err
|
||||
}
|
||||
|
||||
fdvEncoder.Reset()
|
||||
} else {
|
||||
fdvOffsets[fieldID] = fieldNotUninverted
|
||||
}
|
||||
}
|
||||
|
||||
fdvIndexOffset := uint64(s.w.Count())
|
||||
|
||||
for _, fdvOffset := range fdvOffsets {
|
||||
n := binary.PutUvarint(buf, fdvOffset)
|
||||
_, err := s.w.Write(buf[:n])
|
||||
if err != nil {
|
||||
return 0, nil, err
|
||||
}
|
||||
}
|
||||
|
||||
return fdvIndexOffset, dictOffsets, nil
|
||||
}
|
||||
|
||||
func encodeFieldType(f document.Field) byte {
|
||||
fieldType := byte('x')
|
||||
switch f.(type) {
|
||||
case *document.TextField:
|
||||
fieldType = 't'
|
||||
case *document.NumericField:
|
||||
fieldType = 'n'
|
||||
case *document.DateTimeField:
|
||||
fieldType = 'd'
|
||||
case *document.BooleanField:
|
||||
fieldType = 'b'
|
||||
case *document.GeoPointField:
|
||||
fieldType = 'g'
|
||||
case *document.CompositeField:
|
||||
fieldType = 'c'
|
||||
}
|
||||
return fieldType
|
||||
}
|
||||
Loading…
Reference in New Issue