* Add support for auto_generate_synonyms_phrase_query in match_query, multi_match_query, query_string and simple_query_string
This change adds a new parameter called auto_generate_synonyms_phrase_query (defaults to true).
This option can be used in conjunction with synonym_graph token filter to generate phrase queries
when multi terms synonyms are encountered.
For example, a synonym like "ny, new york" would produce the following boolean query when "ny city" is parsed:
((ny OR "new york") AND city)
Note how the multi terms synonym "new york" produces a phrase query.
This commit introduces a new execution mode for the
`simple_query_string` query, which is intended down the road to be a
replacement for the current _all field.
It now does auto-field-expansion and auto-leniency when the following criteria
are ALL met:
The _all field is disabled
No default_field has been set in the index settings
No fields are specified in the request
Additionally, a user can force the "all-like" execution by setting the
all_fields parameter to true.
When executing in all field mode, the `simple_query_string` query will
look at all the fields in the mapping that are not metafields and can be
searched, and automatically expand the list of fields that are going to
be queried.
Relates to #20925, which is the `query_string` version of this work.
This is basically the same behavior, but for the `simple_query_string`
query.
Relates to #19784
Lucene 6.2 introduces the new `Analyzer.normalize` API, which allows to apply
only character-level normalization such as lowercasing or accent folding, which
is exactly what is needed to process queries that operate on partial terms such
as `prefix`, `wildcard` or `fuzzy` queries. As a consequence, the
`lowercase_expanded_terms` option is not necessary anymore. Furthermore, the
`locale` option was only needed in order to know how to perform the lowercasing,
so this one can be removed as well.
Closes#9978
This commit makes queries and filters parsed the same way using the
QueryParser abstraction. This allowed to remove duplicate code that we had
for similar queries/filters such as `range`, `prefix` or `term`.
Jim Ferenczi
Lee Hinman
Adrien Grand
Isabel Drost-Fromm
Isabel Drost-Fromm
Igor Motov
Clinton Gormley