go-common/vendor/gopkg.in/olivere/elastic.v5/search_queries_match.go
2019-04-22 02:59:20 +00:00

190 lines
5.6 KiB
Go

// Copyright 2012-present Oliver Eilhard. All rights reserved.
// Use of this source code is governed by a MIT-license.
// See http://olivere.mit-license.org/license.txt for details.
package elastic
// MatchQuery is a family of queries that accepts text/numerics/dates,
// analyzes them, and constructs a query.
//
// To create a new MatchQuery, use NewMatchQuery. To create specific types
// of queries, e.g. a match_phrase query, use NewMatchPhrQuery(...).Type("phrase"),
// or use one of the shortcuts e.g. NewMatchPhraseQuery(...).
//
// For more details, see
// https://www.elastic.co/guide/en/elasticsearch/reference/5.2/query-dsl-match-query.html
type MatchQuery struct {
name string
text interface{}
operator string // or / and
analyzer string
boost *float64
fuzziness string
prefixLength *int
maxExpansions *int
minimumShouldMatch string
fuzzyRewrite string
lenient *bool
fuzzyTranspositions *bool
zeroTermsQuery string
cutoffFrequency *float64
queryName string
}
// NewMatchQuery creates and initializes a new MatchQuery.
func NewMatchQuery(name string, text interface{}) *MatchQuery {
return &MatchQuery{name: name, text: text}
}
// Operator sets the operator to use when using a boolean query.
// Can be "AND" or "OR" (default).
func (q *MatchQuery) Operator(operator string) *MatchQuery {
q.operator = operator
return q
}
// Analyzer explicitly sets the analyzer to use. It defaults to use explicit
// mapping config for the field, or, if not set, the default search analyzer.
func (q *MatchQuery) Analyzer(analyzer string) *MatchQuery {
q.analyzer = analyzer
return q
}
// Fuzziness sets the fuzziness when evaluated to a fuzzy query type.
// Defaults to "AUTO".
func (q *MatchQuery) Fuzziness(fuzziness string) *MatchQuery {
q.fuzziness = fuzziness
return q
}
// PrefixLength sets the length of a length of common (non-fuzzy)
// prefix for fuzzy match queries. It must be non-negative.
func (q *MatchQuery) PrefixLength(prefixLength int) *MatchQuery {
q.prefixLength = &prefixLength
return q
}
// MaxExpansions is used with fuzzy or prefix type queries. It specifies
// the number of term expansions to use. It defaults to unbounded so that
// its recommended to set it to a reasonable value for faster execution.
func (q *MatchQuery) MaxExpansions(maxExpansions int) *MatchQuery {
q.maxExpansions = &maxExpansions
return q
}
// CutoffFrequency can be a value in [0..1] (or an absolute number >=1).
// It represents the maximum treshold of a terms document frequency to be
// considered a low frequency term.
func (q *MatchQuery) CutoffFrequency(cutoff float64) *MatchQuery {
q.cutoffFrequency = &cutoff
return q
}
// MinimumShouldMatch sets the optional minimumShouldMatch value to
// apply to the query.
func (q *MatchQuery) MinimumShouldMatch(minimumShouldMatch string) *MatchQuery {
q.minimumShouldMatch = minimumShouldMatch
return q
}
// FuzzyRewrite sets the fuzzy_rewrite parameter controlling how the
// fuzzy query will get rewritten.
func (q *MatchQuery) FuzzyRewrite(fuzzyRewrite string) *MatchQuery {
q.fuzzyRewrite = fuzzyRewrite
return q
}
// FuzzyTranspositions sets whether transpositions are supported in
// fuzzy queries.
//
// The default metric used by fuzzy queries to determine a match is
// the Damerau-Levenshtein distance formula which supports transpositions.
// Setting transposition to false will
// * switch to classic Levenshtein distance.
// * If not set, Damerau-Levenshtein distance metric will be used.
func (q *MatchQuery) FuzzyTranspositions(fuzzyTranspositions bool) *MatchQuery {
q.fuzzyTranspositions = &fuzzyTranspositions
return q
}
// Lenient specifies whether format based failures will be ignored.
func (q *MatchQuery) Lenient(lenient bool) *MatchQuery {
q.lenient = &lenient
return q
}
// ZeroTermsQuery can be "all" or "none".
func (q *MatchQuery) ZeroTermsQuery(zeroTermsQuery string) *MatchQuery {
q.zeroTermsQuery = zeroTermsQuery
return q
}
// Boost sets the boost to apply to this query.
func (q *MatchQuery) Boost(boost float64) *MatchQuery {
q.boost = &boost
return q
}
// QueryName sets the query name for the filter that can be used when
// searching for matched filters per hit.
func (q *MatchQuery) QueryName(queryName string) *MatchQuery {
q.queryName = queryName
return q
}
// Source returns JSON for the function score query.
func (q *MatchQuery) Source() (interface{}, error) {
// {"match":{"name":{"query":"value","type":"boolean/phrase"}}}
source := make(map[string]interface{})
match := make(map[string]interface{})
source["match"] = match
query := make(map[string]interface{})
match[q.name] = query
query["query"] = q.text
if q.operator != "" {
query["operator"] = q.operator
}
if q.analyzer != "" {
query["analyzer"] = q.analyzer
}
if q.fuzziness != "" {
query["fuzziness"] = q.fuzziness
}
if q.prefixLength != nil {
query["prefix_length"] = *q.prefixLength
}
if q.maxExpansions != nil {
query["max_expansions"] = *q.maxExpansions
}
if q.minimumShouldMatch != "" {
query["minimum_should_match"] = q.minimumShouldMatch
}
if q.fuzzyRewrite != "" {
query["fuzzy_rewrite"] = q.fuzzyRewrite
}
if q.lenient != nil {
query["lenient"] = *q.lenient
}
if q.fuzzyTranspositions != nil {
query["fuzzy_transpositions"] = *q.fuzzyTranspositions
}
if q.zeroTermsQuery != "" {
query["zero_terms_query"] = q.zeroTermsQuery
}
if q.cutoffFrequency != nil {
query["cutoff_frequency"] = q.cutoffFrequency
}
if q.boost != nil {
query["boost"] = *q.boost
}
if q.queryName != "" {
query["_name"] = q.queryName
}
return source, nil
}