Commit Graph

16 Commits

Author SHA1 Message Date
Jim Ferenczi 4bce727165 Refactor simple_query_string to handle text part like multi_match and query_string (#26145)
This change is a continuation of #25726 that aligns field expansions for the simple_query_string with the query_string and multi_match query.
The main changes are:

 * For exact field name, the new behavior is to rewrite to a matchnodocs query when the field name is not found in the mapping.

 * For partial field names (with * suffix), the expansion is done only on keyword, text, date, ip and number field types. Other field types are simply ignored.

 * For all fields (*), the expansion is done on accepted field types only (see above) and metadata fields are also filtered.

The use_all_fields option is deprecated in this change and can be replaced by setting `*` in the fields parameter.
This commit also changes how text fields are analyzed. Previously the default search analyzer (or the provided analyzer) was used to analyze every text part
, ignoring the analyzer set on the field in the mapping. With this change, the field analyzer is used instead unless an analyzer has been forced in the parameter of the query.

Finally now that all full text queries can handle the special "*" expansion (`all_fields` mode), the `index.query.default_field` is now set to `*` for indices created in 6.
2017-08-21 13:12:27 +02:00
Jim Ferenczi a7e1610134 Add support for auto_generate_synonyms_phrase_query in match_query, multi_match_query, query_string and simple_query_string (#26097)
* 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.
2017-08-09 12:15:09 +02:00
Isabel Drost-Fromm 4c02e97bcd Add back doc execution to query dsl.
Relates to #18211

This reverts commit 20aafb1196.
2016-05-24 12:43:41 +02:00
Isabel Drost-Fromm 20aafb1196 Revert "Add Autosense annotation for query dsl testing" 2016-05-17 20:55:56 +02:00
Isabel Drost-Fromm 2d402c732c Merge branch 'master' into docs/add_autosense_to_query_dsl 2016-05-17 11:59:50 +02:00
Clinton Gormley bfc826003b Documented fuzzy_transpositions in match query
Relates to #18320
2016-05-14 11:20:04 +02:00
Isabel Drost-Fromm 0ad87b25cf Something messed with auto-indent. Fixed now. 2016-05-12 12:58:22 +02:00
Isabel Drost-Fromm 85f1ab44d9 Convert rest of query-dsl docs to be run in tests 2016-05-11 14:37:19 +02:00
Colin Goodheart-Smithe c20c49963f [DOCS] update match query documentation
Now the `match` query has been split out into `match`, `match_phrase` and `match_phrase_prefix` we need to update the docs to remove the deprecated syntax
2016-04-06 15:44:22 +01:00
Clinton Gormley bb4c4b55d2 Merge pull request #12264 from peschlowp/patch-6
Update match-query.asciidoc
2015-07-15 13:22:23 +02:00
Adrien Grand da5fa6c4f3 Minor fixes to the `match` query.
Fixed documentation since the default rewrite method for fuzzy queries is to
select top terms, fixed usage of the fuzzy rewrite method, and removed unused
`rewrite` parameter.

Close #6932
2015-07-08 16:51:41 +02:00
Clinton Gormley 1e5e4439ce Merge pull request #11983 from cdosborn/patch-1
Grammar fix to match query docs
2015-07-05 18:24:06 +02:00
Clinton Gormley f85a17ff1a Docs: Fixed heading level for in query DSL docs 2015-06-04 13:16:32 +02:00
Clinton Gormley 171687d207 Docs: Reorganised the Query DSL docs into families and explaing query vs filter context 2015-06-04 01:59:37 +02:00
Clinton Gormley 6171ae6cc4 Docs: Added stub entries for pages deleted from 1.x 2015-05-24 17:57:34 +02:00
Adrien Grand a0af88e996 Query DSL: Remove filter parsers.
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`.
2015-05-07 20:14:34 +02:00