forked from gitea/gitea
130 lines
3.8 KiB
Go
130 lines
3.8 KiB
Go
// Copyright (c) 2015 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 upsidedown
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import (
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index "github.com/blevesearch/bleve_index_api"
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)
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type IndexRow interface {
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KeySize() int
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KeyTo([]byte) (int, error)
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Key() []byte
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ValueSize() int
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ValueTo([]byte) (int, error)
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Value() []byte
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}
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type AnalysisResult struct {
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DocID string
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Rows []IndexRow
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}
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func (udc *UpsideDownCouch) Analyze(d index.Document) *AnalysisResult {
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return udc.analyze(d)
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}
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func (udc *UpsideDownCouch) analyze(d index.Document) *AnalysisResult {
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rv := &AnalysisResult{
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DocID: d.ID(),
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Rows: make([]IndexRow, 0, 100),
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}
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docIDBytes := []byte(d.ID())
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// track our back index entries
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backIndexStoredEntries := make([]*BackIndexStoreEntry, 0)
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// information we collate as we merge fields with same name
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fieldTermFreqs := make(map[uint16]index.TokenFrequencies)
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fieldLengths := make(map[uint16]int)
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fieldIncludeTermVectors := make(map[uint16]bool)
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fieldNames := make(map[uint16]string)
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analyzeField := func(field index.Field, storable bool) {
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fieldIndex, newFieldRow := udc.fieldIndexOrNewRow(field.Name())
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if newFieldRow != nil {
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rv.Rows = append(rv.Rows, newFieldRow)
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}
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fieldNames[fieldIndex] = field.Name()
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if field.Options().IsIndexed() {
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field.Analyze()
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fieldLength := field.AnalyzedLength()
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tokenFreqs := field.AnalyzedTokenFrequencies()
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existingFreqs := fieldTermFreqs[fieldIndex]
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if existingFreqs == nil {
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fieldTermFreqs[fieldIndex] = tokenFreqs
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} else {
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existingFreqs.MergeAll(field.Name(), tokenFreqs)
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fieldTermFreqs[fieldIndex] = existingFreqs
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}
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fieldLengths[fieldIndex] += fieldLength
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fieldIncludeTermVectors[fieldIndex] = field.Options().IncludeTermVectors()
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}
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if storable && field.Options().IsStored() {
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rv.Rows, backIndexStoredEntries = udc.storeField(docIDBytes, field, fieldIndex, rv.Rows, backIndexStoredEntries)
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}
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}
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// walk all the fields, record stored fields now
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// place information about indexed fields into map
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// this collates information across fields with
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// same names (arrays)
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d.VisitFields(func(field index.Field) {
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analyzeField(field, true)
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})
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if d.HasComposite() {
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for fieldIndex, tokenFreqs := range fieldTermFreqs {
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// see if any of the composite fields need this
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d.VisitComposite(func(field index.CompositeField) {
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field.Compose(fieldNames[fieldIndex], fieldLengths[fieldIndex], tokenFreqs)
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})
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}
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d.VisitComposite(func(field index.CompositeField) {
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analyzeField(field, false)
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})
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}
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rowsCapNeeded := len(rv.Rows) + 1
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for _, tokenFreqs := range fieldTermFreqs {
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rowsCapNeeded += len(tokenFreqs)
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}
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rv.Rows = append(make([]IndexRow, 0, rowsCapNeeded), rv.Rows...)
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backIndexTermsEntries := make([]*BackIndexTermsEntry, 0, len(fieldTermFreqs))
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// walk through the collated information and process
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// once for each indexed field (unique name)
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for fieldIndex, tokenFreqs := range fieldTermFreqs {
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fieldLength := fieldLengths[fieldIndex]
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includeTermVectors := fieldIncludeTermVectors[fieldIndex]
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// encode this field
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rv.Rows, backIndexTermsEntries = udc.indexField(docIDBytes, includeTermVectors, fieldIndex, fieldLength, tokenFreqs, rv.Rows, backIndexTermsEntries)
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}
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// build the back index row
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backIndexRow := NewBackIndexRow(docIDBytes, backIndexTermsEntries, backIndexStoredEntries)
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rv.Rows = append(rv.Rows, backIndexRow)
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return rv
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}
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