* 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
Currently, the `terms` query is just syctactic sugar for a `bool` query when
used in a query context. This change proposes to always generate the same query
in query and filter contexts, which is less confusing.
These query names were all deprecated in 5.0.0:
- in is removed in favour of terms
- geo_bbox is removed in favour of geo_bounding_box
- mlt is removed in favour of more_like_this
- fuzzy_match and match_fuzzy are removed in favour of match
Set lucene version to 6.4.0-snapshot-ec38570 and update all the sha1s/license
Fix invalid combo after upgrade in query_string query. split_on_whitespace=false is disallowed if auto_generate_phrase_queries=true
Adapt the expectations of some tests to the new format of the Lucene explain output
* master: (22 commits)
Add proper toString() method to UpdateTask (#21582)
Fix `InternalEngine#isThrottled` to not always return `false`. (#21592)
add `ignore_missing` option to SplitProcessor (#20982)
fix trace_match behavior for when there is only one grok pattern (#21413)
Remove dead code from GetResponse.java
Fixes date range query using epoch with timezone (#21542)
Do not cache term queries. (#21566)
Updated dynamic mapper section
Docs: Clarify date_histogram bucket sizes for DST time zones
Handle release of 5.0.1
Fix skip reason for stats API parameters test
Reduce skip version for stats API parameter tests
Strict level parsing for indices stats
Remove cluster update task when task times out (#21578)
[DOCS] Mention "all-fields" mode doesn't search across nested documents
InternalTestCluster: when restarting a node we should validate the cluster is formed via the node we just restarted
Fixed bad asciidoc in boolean mapping docs
Fixed bad asciidoc ID in node stats
Be strict when parsing values searching for booleans (#21555)
Fix time zone rounding edge case for DST overlaps
...
* master: (516 commits)
Avoid angering Log4j in TransportNodesActionTests
Add trace logging when aquiring and releasing operation locks for replication requests
Fix handler name on message not fully read
Remove accidental import.
Improve log message in TransportNodesAction
Clean up of Script.
Update Joda Time to version 2.9.5 (#21468)
Remove unused ClusterService dependency from SearchPhaseController (#21421)
Remove max_local_storage_nodes from elasticsearch.yml (#21467)
Wait for all reindex subtasks before rethrottling
Correcting a typo-Maan to Man-in README.textile (#21466)
Fix InternalSearchHit#hasSource to return the proper boolean value (#21441)
Replace all index date-math examples with the URI encoded form
Fix typos (#21456)
Adapt ES_JVM_OPTIONS packaging test to ubuntu-1204
Add null check in InternalSearchHit#sourceRef to prevent NPE (#21431)
Add VirtualBox version check (#21370)
Export ES_JVM_OPTIONS for SysV init
Skip reindex rethrottle tests with workers
Make forbidden APIs be quieter about classpath warnings (#21443)
...
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
This commit introduces a new execution mode for the 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 default_field has been set in the request
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 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 #19784
This query is deprecated from 5.0 on. Similar to IndicesQueryBuilder we should
log a deprecation warning whenever this query is used.
Relates to #15760
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 change adds an option called `split_on_whitespace` which prevents the query parser to split free text part on whitespace prior to analysis. Instead the queryparser would parse around only real 'operators'. Default to true.
For instance the query `"foo bar"` would let the analyzer of the targeted field decide how the tokens should be splitted.
Some options are missing in this change but I'd like to add them in a follow up PR in order to be able to simplify the backport in 5.x. The missing options (changes) are:
* A `type` option which similarly to the `multi_match` query defines how the free text should be parsed when multi fields are defined.
* Simple range query with additional tokens like ">100 50" are broken when `split_on_whitespace` is set to false. It should be possible to preserve this syntax and make the parser aware of this special syntax even when `split_on_whitespace` is set to false.
* Since all this options would make the `query_string_query` very similar to a match (multi_match) query we should be able to share the code that produce the final Lucene query.
Refactored ScriptType to clean up some of the variable and method names. Added more documentation. Deprecated the 'in' ParseField in favor of 'stored' to match the indexed scripts being replaced by stored scripts.
Hi all,
I was trying to run the percolate examples, but I figured that because of the "type":"keyword" , the code wasn't working.
In the saerch query the "message" : "A new bonsai tree in the office" is a pure string.
I changed it to "text".
- Using log() to indicate natural log can add some confusion when trying to further adjust/tweak scores. Other parts of the API (field_value_factor on this same page) use 'ln' and 'log', so this change should be more consistent
- Fixes#20027
- I generated the images using http://latex2png.com/ at a resolution of 150 which seemed to be about the same size as before
Deprecates the optimize_bbox parameter on geodistance queries. This has no longer been needed since version 2.2 because lucene geo distance queries (postings and LatLonPoint) already optimize by bounding box.
Adds `warnings` syntax to the yaml test that allows you to expect
a `Warning` header that looks like:
```
- do:
warnings:
- '[index] is deprecated'
- quotes are not required because yaml
- but this argument is always a list, never a single string
- no matter how many warnings you expect
get:
index: test
type: test
id: 1
```
These are accessible from the docs with:
```
// TEST[warning:some warning]
```
This should help to force you to update the docs if you deprecate
something. You *must* add the warnings marker to the docs or the build
will fail. While you are there you *should* update the docs to add
deprecation warnings visible in the rendered results.
* [TEST] wait for yellow after setup doc tests
We have many places in the doc where we expect and index to be
yellow before we execute a query. Therefore we have to
always wait for yellow after setup.
Before the query extraction would have been aborted and the percolator query would be marked as unknown.
This resulted in a situation that these queries always need to be evaluated by the memory index at search time.
By adding support for this query many more percolator query candidate hits can skip the expensive memory index verification step. For example the `match` query parser returns a MatchNoDocsQuery if the query terms are removed by text analysis (lets query text only contained stop words).
Before 5.0 for it was required that the percolator queries were cached in jvm heap as Lucene queries for two reasons:
1) Performance. The percolator evaluated all percolator queries all the time. There was no pre-selecting queries that are likely to match like we have today.
2) Updates made to percolator queries were visible in realtime, Today these changes are visible in near realtime. So updating no longer requires the percolator to have the queries in jvm heap.
So having the percolator queries in jvm heap via the percolator cache is now less attractive. Especially when there are many percolator queries then these queries can consume many GBs of jvm heap.
Removing the percolator cache does make the percolate query slower compared to how the execution time in 5.0.0-alpha1 and alpha2, but it is still faster compared to 2.x and before.
This change does the following:
- Queries that are currently unsupported such as prefix queries on numeric
fields or term queries on geo fields now throw an error rather than returning
a query that does not match anything.
- Fuzzy queries on numeric, date and ip fields are now unsupported: they used
to create range queries, we now expect users to use range queries directly.
Fuzzy, regexp and prefix queries are now only supported on text/keyword
fields (including `_all`).
- The `_uid` and `_id` fields do not support prefix or range queries anymore as
it would prevent us to store them more efficiently in the future, eg. by
using a binary encoding.
Note that it is still possible to ignore these errors by using the `lenient`
option of the `match` or `query_string` queries.
Currently `fuzziness` is not supported for the `cross_fields` type
of the `multi_match` query since it complicates the logic that
blends the term queries that cross_fields uses internally. At the
moment using this combination is silently ignored, which can lead to
confusions. Instead we should throw an exception in this case.
The same is true for phrase and phrase_prefix type.
Closes#7764
Adds infrastructure so `gradle :docs:check` will extract tests from
snippets in the documentation and execute the tests. This is included
in `gradle check` so it should happen on CI and during a normal build.
By default each `// AUTOSENSE` snippet creates a unique REST test. These
tests are executed in a random order and the cluster is wiped between
each one. If multiple snippets chain together into a test you can annotate
all snippets after the first with `// TEST[continued]` to have the
generated tests for both snippets joined.
Snippets marked as `// TESTRESPONSE` are checked against the response
of the last action.
See docs/README.asciidoc for lots more.
Closes#12583. That issue is about catching bugs in the docs during build.
This catches *some* bugs in the docs during build which is a good start.
* Added an extra `field` parameter to the `percolator` query to indicate what percolator field should be used. This must be an existing field in the mapping of type `percolator`.
* The `.percolator` type is now forbidden. (just like any type that starts with a `.`)
This only applies for new indices created on 5.0 and later. Indices created on previous versions the .percolator type is still allowed to exist.
The new `percolator` field type isn't active in such indices and the `PercolatorQueryCache` knows how to load queries from these legacy indices.
The `PercolatorQueryBuilder` will not enforce that the `field` parameter is of type `percolator`.
The change adds a new option to the geo_* queries: ignore_unmapped. If this option is set to false, the toQuery method on the QueryBuilder will throw an exception if the field specified in the query is unmapped. If the option is set to true, the toQuery method on the QueryBuilder will return a MatchNoDocsQuery. The default value is false so the queries work how they do today (throwing an exception on unmapped field)
The change adds a new option to the `nested`, `has_parent`, `has_children` and `parent_id` queries: `ignore_unmapped`. If this option is set to false, the `toQuery` method on the QueryBuilder will throw an exception if the type/path specified in the query is unmapped. If the option is set to true, the `toQuery` method on the QueryBuilder will return a MatchNoDocsQuery. The default value is `false`so the queries work how they do today (throwing an exception on unmapped paths/types)
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
* [TEST] check registered queries one by one in SearchModuleTests
* Switch to using ParseField to parse query names
If we have a deprecated query name, at the moment we don't have a way to log any deprecation warning nor fail when we are in strict mode. With this change we use ParseField, which will take care of the camel casing that we currently do manually (so that one day we can remove it more easily). This also means, that each query will have a unique preferred name, and all the other names are deprecated.
Terms query "in" synonym is now formally deprecated, as well as fuzzy_match, match_fuzzy, match_phrase and match_phrase_prefix for match query, mlt for more_like_this and geo_bbox for geo_bounding_box. All these will be removed in 6.0.
Every QueryParser holds now a ParseField constant called QUERY_NAME_FIELD that holds the name for it. The first name is the preferred one, all the others are deprecated. The first name is taken from the NAME constant already present in each query builder object, so that we somehow keep the serialization constant separated from ParseField. This change also allowed us to remove the names method from the QueryParser interface.
Also replaced the PercolatorQueryRegistry with the new PercolatorQueryCache.
The PercolatorFieldMapper stores the rewritten form of each percolator query's xcontext
in a binary doc values field. This make sure that the query rewrite happens only during
indexing (some queries for example fetch shapes, terms in remote indices) and
the speed up the loading of the queries in the percolator query cache.
Because the percolator now works inside the search infrastructure a number of features
(sorting fields, pagination, fetch features) are available out of the box.
The following feature requests are automatically implemented via this refactoring:
Closes#10741Closes#7297Closes#13176Closes#13978Closes#11264Closes#10741Closes#4317
This commit updates the documentation for GeoPointField by removing all references to the coerce and doc_values parameters. DocValues are enabled in lucene GeoPointField by default (required for boundary filtering). The QueryBuilders are updated to automatically normalize points (ignoring the coerce parameter) for any index created onOrAfter version 2.2.
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
Trey Tacon
David Pilato
Christoph Büscher
Jack Conradson
Quinn Shanahan
Pascal Borreli
Anatolii Stepaniuk
Yevhen Bobrov
antonisppn
Greg Ichneumon Brown
nrichers
Munish Goyal
Mary
Britta Weber
Robert Muir
Isabel Drost-Fromm
Isabel Drost-Fromm
Kelsey DeJesus-Banos
Rafał Bigaj
chenxiang
Russ Cam
Colin Goodheart-Smithe
pengqiuyuan
Simon Willison
Christopher Taylor
Dongjoon Hyun