* Accept an array of field names and boosts in the index.query.default_field setting
This commit allows to define an array of field names and boosts for the index setting `index.query.default_field`.
The format is equivalent to the `fields` options of the full text search queries (e.g. field_name^boost).
This commit also makes this setting dynamically updatable.
Fixes#25946
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.
* 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 changes the way we handle field expansion in `match`, `multi_match` and `query_string` 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 `*` notation can also be used to set `default_field` option on`query_string` query. This should replace the needs for the extra option `use_all_fields` which is deprecated in this change.
This commit also rewrites simple `*` query to matchalldocs query when all fields are requested (Fixes#25556).
The same change should be done on `simple_query_string` for completeness.
`use_all_fields` option in `query_string` is also deprecated in this change, `default_field` should be set to `*` instead.
Relates #25551
We currently use fielddata on the `_id` field which is trappy, especially as we
do it implicitly. This changes the `random_score` function to use doc ids when
no seed is provided and to suggest a field when a seed is provided.
For now the change only emits a deprecation warning when no field is supplied
but this should be replaced by a strict check on 7.0.
Closes#25240
This change removes the leniency of having a `null` index to fetch
terms from in 6.0 onwards. This feature will be deprecated in the 5.x series
and 6.0 nodes will require the index to be set.
Closes#25750
This change refactors the query_string query to analyze the query text around logical operators of the query string the same way than a match_query/multi_match_query.
It also adds a type parameter that can be used to change the way multi fields query are built the same way than a multi_match query does.
Now that these queries share the same behavior regarding text analysis, some parameters are obsolete and have been deprecated:
split_on_whitespace: This setting is now ignored with a deprecation notice
if it is used explicitely. With this PR The query_string always splits on logical operator.
It simplifies the understanding of the other parameters that can have different meanings
depending on the value of split_on_whitespace.
auto_generate_phrase_queries: This setting is now ignored with a deprecation notice
if it is used explicitely. This setting only makes sense when the parser splits on whitespace.
use_dismax: This setting is now ignored with a deprecation notice
if it is used explicitely. The tie_breaker parameter is sufficient to handle best_fields/most_fields.
Fixes#25574
Today if we search across a large amount of shards we hit every shard. Yet, it's quite
common to search across an index pattern for time based indices but filtering will exclude
all results outside a certain time range ie. `now-3d`. While the search can potentially hit
hundreds of shards the majority of the shards might yield 0 results since there is not document
that is within this date range. Kibana for instance does this regularly but used `_field_stats`
to optimize the indexes they need to query. Now with the deprecation of `_field_stats` and it's upcoming removal a single dashboard in kibana can potentially turn into searches hitting hundreds or thousands of shards and that can easily cause search rejections even though the most of the requests are very likely super cheap and only need a query rewriting to early terminate with 0 results.
This change adds a pre-filter phase for searches that can, if the number of shards are higher than a the `pre_filter_shard_size` threshold (defaults to 128 shards), fan out to the shards
and check if the query can potentially match any documents at all. While false positives are possible, a negative response means that no matches are possible. These requests are not subject to rejection and can greatly reduce the number of shards a request needs to hit. The approach here is preferable to the kibana approach with field stats since it correctly handles aliases and uses the correct threadpools to execute these requests. Further it's completely transparent to the user and improves scalability of elasticsearch in general on large clusters.
The created and found fields in index and delete responses became obsolete after the introduction of the result field in index, update and delete responses (#19566).
After deprecating the created and found fields in 5.x (#19633), now they are removed.
Fixes#19630
The `document_type` parameter is no longer required to be specified,
because by default from 6.0 only a single type is allowed. (`index.mapping.single_type` defaults to `true`)
This snapshot has faster range queries on range fields (LUCENE-7828), more
accurate norms (LUCENE-7730) and the ability to use fake term frequencies
(LUCENE-7854).
This commit adds back "id" as the key within a script to specify a
stored script (which with file scripts now gone is no longer ambiguous).
It also adds "source" as a replacement for "code". This is in an attempt
to normalize how scripts are specified across both put stored scripts and script usages, including search template requests. This also deprecates the old inline/stored keys.
This adds the `index.mapping.single_type` setting, which enforces that indices
have at most one type when it is true. The default value is true for 6.0+ indices
and false for old indices.
Relates #15613
Docs: rewrite description of `bool`'s `should`
Rewrites the description of the `bool` query's `should`
clauses so it is (hopefully) more clear what the defaults
for `minimum_should_match` are.
There is still an `[IMPORTANT]` section about `minimum_should_match`
in a filter context. I think it is worth keeping because it is, well,
important.
Closes#23831
We want to upgrade to Lucene 7 ahead of time in order to be able to check whether it causes any trouble to Elasticsearch before Lucene 7.0 gets released. From a user perspective, the main benefit of this upgrade is the enhanced support for sparse fields, whose resource consumption is now function of the number of docs that have a value rather than the total number of docs in the index.
Some notes about the change:
- it includes the deprecation of the `disable_coord` parameter of the `bool` and `common_terms` queries: Lucene has removed support for coord factors
- it includes the deprecation of the `index.similarity.base` expert setting, since it was only useful to configure coords and query norms, which have both been removed
- two tests have been marked with `@AwaitsFix` because of #23966, which we intend to address after the merge
I managed to push the last one without testing it because I'd changed
the way I run tests locally and hadn't picked it up. Ooops. This one
works better.
All the docs for the `exists` query that aren't marked as `CONSOLE`
aren't actually `CONSOLE`-worthy so this marks them as `NOTCONSOLE`.
It also rewrites the text around `missing` query. Since it was
removed in 5.0 we don't need to talk about it in the 6.0 docs.
Relates to #18160
These need to be CONSOLEified *now* because we're starting to
require Content-Type headers and they didn't have any.
* cluster/reroute: Marked as CONSOLE but skipped because the docs
build runs with a single node.
* docs/bulk: Marked as NOTCONSOLE because the snippets describe
either examples or `curl` commands. Fixed the `curl` command to
include the `Content-Type` header.
* query-dsl/terms-query: Marked as CONSOLE.
* search/request/rescore: Marked as CONSOLE. Fixed deprecated
syntax.
Relates #23001
Relates #18160
GeoDistance query, sort, and scripts make use of a crazy GeoDistance enum for handling 4 different ways of computing geo distance: SLOPPY_ARC, ARC, FACTOR, and PLANE. Only two of these are necessary: ARC, PLANE. This commit removes SLOPPY_ARC, and FACTOR and cleans up the way Geo distance is computed.
When we decided to deprecate and remove fuzzy query in #15760, we didn't realize we would take away the possibililty for uses to use a fuzzy query as part of a span query, which is not possible using match query. This means we have to go back and un-deprecate fuzzy query, which will not be removed.
Closes#15760
shaulzorea
Jim Ferenczi
Ian Fisk
Adrien Grand
Simon Willnauer
Martijn van Groningen
olcbean
Clinton Gormley
dkimdon
Ryan Ernst
Andrey Groshev
David Cho-Lerat
Nik Everett
Jason Tedor
Pavel Chertorogov
AlexNodex
Catherine Snow
Giuseppe
Nicholas Knize
William Webber
Francesc Gil
Lee Hinman
Jake
Luca Cavanna
Matias Anaya