198ca1ad4d
In the index/store package introduce KVReader creates snapshot all read operations consistent from this snapshot must close to release introduce KVWriter only one writer active access to all operations allows for consisten read-modify-write must close to release introduce AssociativeMerge operation on batch allows efficient read-modify-write for associative operations used to consolidate updates to the term summary rows saves 1 set and 1 get op per shared instance of term in field In the index package introduced an IndexReader exposes a consisten snapshot of the index for searching At top level All searches now operate on a consisten snapshot of the index
98 lines
2.5 KiB
Go
98 lines
2.5 KiB
Go
// Copyright (c) 2014 Couchbase, Inc.
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// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file
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// except in compliance with the License. You may obtain a copy of the License at
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// http://www.apache.org/licenses/LICENSE-2.0
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// Unless required by applicable law or agreed to in writing, software distributed under the
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// License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
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// either express or implied. See the License for the specific language governing permissions
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// and limitations under the License.
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package bleve
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import (
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"fmt"
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"github.com/blevesearch/bleve/index"
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"github.com/blevesearch/bleve/search"
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)
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type matchQuery struct {
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Match string `json:"match"`
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FieldVal string `json:"field,omitempty"`
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Analyzer string `json:"analyzer,omitempty"`
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BoostVal float64 `json:"boost,omitempty"`
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}
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// NewMatchQuery creates a Query for matching text.
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// An Analyzer is chosed based on the field.
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// Input text is analyzed using this analyzer.
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// Token terms resulting from this analysis are
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// used to perform term searches. Result documents
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// must satisfy at least one of these term searches.
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func NewMatchQuery(match string) *matchQuery {
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return &matchQuery{
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Match: match,
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BoostVal: 1.0,
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}
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}
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func (q *matchQuery) Boost() float64 {
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return q.BoostVal
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}
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func (q *matchQuery) SetBoost(b float64) Query {
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q.BoostVal = b
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return q
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}
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func (q *matchQuery) Field() string {
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return q.FieldVal
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}
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func (q *matchQuery) SetField(f string) Query {
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q.FieldVal = f
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return q
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}
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func (q *matchQuery) Searcher(i index.IndexReader, m *IndexMapping, explain bool) (search.Searcher, error) {
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field := q.FieldVal
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if q.FieldVal == "" {
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field = m.DefaultField
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}
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analyzerName := ""
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if q.Analyzer != "" {
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analyzerName = q.Analyzer
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} else {
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analyzerName = m.analyzerNameForPath(field)
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}
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analyzer := m.analyzerNamed(analyzerName)
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if analyzer == nil {
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return nil, fmt.Errorf("no analyzer named '%s' registered", q.Analyzer)
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}
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tokens := analyzer.Analyze([]byte(q.Match))
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if len(tokens) > 0 {
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tqs := make([]Query, len(tokens))
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for i, token := range tokens {
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tqs[i] = NewTermQuery(string(token.Term)).
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SetField(field).
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SetBoost(q.BoostVal)
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}
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shouldQuery := NewDisjunctionQueryMin(tqs, 1).
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SetBoost(q.BoostVal)
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return shouldQuery.Searcher(i, m, explain)
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}
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noneQuery := NewMatchNoneQuery()
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return noneQuery.Searcher(i, m, explain)
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}
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func (q *matchQuery) Validate() error {
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return nil
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}
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