* 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.
With this commit we deprecate the widely misunderstood
fuzzy query but will still allow the fuzziness
parameter in match queries and suggesters.
Relates to #15760
* Remove remaining 1.x bwc logic.
* Stop storing stored fields and indexed terms. The _parent field's only purpose is to support joins between parent and child type and only storing doc values is sufficient.
* In the mapping the parent field mapper is now known under '{parent}#{child}' key, because this is the field the parent/child join uses too.
* Added new sub fetch phase to lookup that _parent field from doc values field if that is required (before this was fetched from stored _parent field)
* Removed the ability to query directly on `_parent` in the query dsl. Instead the `{parent}#{child}` field should be used. Under the hood a doc values query is used instead of a term query, because only doc values fields are stored now.
* Added a new `parent_id` query to easily query child documents with a specific parent id without having to know what join field to use
* Also in aggregations `_parent` field can't be used any more and `{parent}#{child}` field name should be used instead to aggregate directly on the _parent join field.
This commit adds the following:
* SpatialStrategy documentation to the geo-shape reference docs.
* Updates relation documentation to geo-shape-query reference docs.
* Updates GeoShapeFiledMapper to set points_only to true if TERM strategy is used (to be consistent with documentation)
As a replacement use ExistsQueryBuilder inside a mustNot() clause.
So instead of using `new ExistsQueryBuilder(name)` now use:
`new BoolQueryBuilder().mustNot(new ExistsQueryBuilder(name))`.
Closes#14112
In the example we show an `exists` query inside a constant score query. While this is possible, it can mislead users to think it is necessary so we should remove it.
At the time of geo_shape query conception, CONTAINS was not yet a supported spatial operation in Lucene. Since it is now available this commit adds ShapeRelation.CONTAINS to GeoShapeQuery. Randomized testing is included and documentation is updated.
We already introduced the MatchNoneQueryBuilder query that does not
return any documents, mainly because we needed it for internal
representation of the NONE option in the IndicesQueryBuilder.
However, the query was requested at least once also for the query dsl,
and since we can parser it already we should document it as
`match_none` query in the relevant reference docs as well.
When passing the example json snippets through the query parser while working
on #14249 some of the examples could not be parsed. This PR fixes those
examples.
Relates to #14249
The NotQueryBuilder has been deprecated on the 2.x branches
and can be removed with the next major version. It can be
replaced by boolean query with added mustNot() clause.
Closes#13761
* Dropped ScoreType in favour of Lucene's ScoreMode
* Removed `score_type` option from `has_child` and `has_parent` queries in favour for the already existing `score_mode` option.
* Removed the score mode `sum` in favour for the already existing `total` score mode. (`sum` doesn't exist in Lucene's ScoreMode class)
* If `max_children` is set to `0` it now really means that zero children are allowed to match.
This commit splits HasParentQueryParser into toQuery and fromXContent.
This change also deprecates several keys in favor of simplified settings
and adds basic unittests for HasParentQueryParser.
Relates to #10217
The `multi_match` query groups terms that have the same analyzer together and
then applies the boost of the first query in each group. This is not necessary
given that boosts for each term are already applied another way.
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
This rewrite method is interesting because it computes scores as if all terms
had the same frequencies, which avoids disappointments with ranking when a fuzzy
query ranks typos first given that they are less frequent than the correct term.
This changes the parameter name `ignore_like` to the more user friendly name
`unlike`. This later feature generates a query from the terms in `A` but not
from the terms in `B`. This translates to a result set which is like `A` but
unlike `B`. We could have further negatively boosted any documents that have
some `B`, but these documents already do not receive any contribution from
having `B`, and would therefore negatively compete with documents having `A`.
Closes#11117
* Cut the `has_child` and `has_parent` queries over to use Lucene's query time global ordinal join. The main benefit of this change is that parent/child queries can now efficiently execute if parent/child queries are wrapped in a bigger boolean query. If the rest of the query only hit a few documents both has_child and has_parent queries don't need to evaluate all parent or child documents any more.
* Cut the `_parent` field over to use doc values. This significantly reduces the on heap memory footprint of parent/child, because the parent id values are never loaded into memory.
Breaking changes:
* The `type` option on the `_parent` field can only point to a parent type that doesn't exist yet, so this means that an existing type/mapping can't become a parent type any longer.
* The `has_child` and `has_parent` queries can no longer be use in alias filters.
All these changes, improvements and breaks in compatibility only apply for indices created with ES version 2.0 or higher. For indices creates with ES <= 2.0 the older implementation is used.
It is highly recommended to re-index all your indices with parent and child documents to benefit from all the improvements that come with this refactoring. The easiest way to achieve this is by using the scan and bulk apis using a simple script.
Closes#6107Closes#8134
This change unifies the way scripts and templates are specified for all instances in the codebase. It builds on the Script class added previously and adds request building and parsing support as well as the ability to transfer script objects between nodes. It also adds a Template class which aims to provide the same functionality for template APIs
Closes#11091
These clauses filter the document space without affecting scoring and map to
Lucene's BooleanClause.Occur.FILTER. The `filtered` query is now deprecated and
```json
{
"filtered": {
"query": { //query },
"filter": { //filter }
}
}
```
should be replaced with
```json
{
"bool": {
"must": { //query },
"filter": { //filter }
}
}
```
Meta fields were locked down to not allow exotic options to the
underlying field types in #8143. This change fixes the docs
to no longer refer to the old settings.
closes#10879
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`.
This removes Elasticsearch's filter cache and uses Lucene's instead. It has some
implications:
- custom cache keys (`_cache_key`) are unsupported
- decisions are made internally and can't be overridden by users ('_cache`)
- not only filters can be cached but also all queries that do not need scores
- parent/child queries can now be cached, however cached entries are only
valid for the current top-level reader so in practice it will likely only
be used on read-only indices
- the cache deduplicates filters, which plays nicer with large keys (eg. `terms`)
- better stats: we already had ram usage and evictions, but now also hit count,
miss count, lookup count, number of cached doc id sets and current number of
doc id sets in the cache
- dynamically changing the filter cache size is not supported anymore
Internally, an important change is that it removes the NoCacheFilter infrastructure
in favour of making Query.rewrite specializing the query for the current reader so
that it will only be cached on this reader (look for IndexCacheableQuery).
Note that consuming filters with the query API (createWeight/scorer) instead of
the filter API (getDocIdSet) is important for parent/child queries because
otherwise a QueryWrapperFilter(ParentQuery) would run the wrapped query per
segment while relations might be cross segments.
Expose new span queries from https://issues.apache.org/jira/browse/LUCENE-6083
Within returns matches from 'little' that are enclosed inside of a match from 'big'.
Containing returns matches from 'big' that enclose matches from 'little'.
field_value_factor now takes a default that is used if the document doesn't
have a value for that field. It looks like:
"field_value_factor": {
"field": "popularity",
"missing": 1
}
Closes#10841
Hi there. I've been experimenting with the search templates recently and I'm a bit confused. Shouldn't the Mustache tags be written like `{{tagname}}` instead of `{tagname}`? Your using `{{...}}` [here](http://www.elastic.co/guide/en/elasticsearch/reference/current/search-template.html) BTW.
Using the first example in that page seems to indicate that something's wrong, or am I missing something?
```
$ curl 'localhost:9200/test/_search' -d '{"query":{"template":{"query":{"match":{"text":"{keywords}"}},"params":{"keywords":"value1_foo"}}}}'
{"took":1,"timed_out":false,"_shards":{"total":1,"successful":1,"failed":0},"hits":{"total":0,"max_score":null,"hits":[]}}
$ curl 'localhost:9200/test/_search' -d '{"query":{"template":{"query":{"match":{"text":"{{keywords}}"}},"params":{"keywords":"value1_foo"}}}}'
{"took":1,"timed_out":false,"_shards":{"total":1,"successful":1,"failed":0},"hits":{"total":1,"max_score":1.0,"hits":[{"_index":"test","_type":"testtype","_id":"1","_score":1.0,"_source":{"text":"value1_foo"}}]}}
```
In Lucene 5.1 lots of filters got deprecated in favour of equivalent queries.
Additionally, random-access to filters is now replaced with approximations on
scorers. This commit
- replaces the deprecated NumericRangeFilter, PrefixFilter, TermFilter and
TermsFilter with NumericRangeQuery, PrefixQuery, TermQuery and TermsQuery,
wrapped in a QueryWrapperFilter
- replaces XBooleanFilter, AndFilter and OrFilter with a BooleanQuery in a
QueryWrapperFilter
- removes DocIdSets.isBroken: the new two-phase iteration API will now help
execute slow filters efficiently
- replaces FilterCachingPolicy with QueryCachingPolicy
Close#8960
This adds a new feature to the Term Vectors API which allows for filtering of
terms based on their tf-idf scores. With `dfs` option on, this could be useful
for finding out a good characteric vector of a document or a set of documents.
The parameters are similar to the ones used in the MLT Query.
Closes#9561
This is really a Collector instead of a filter. This commit deprecates the
`limit` filter, makes it a no-op and recommends to use the `terminate_after`
parameter instead that we introduced in the meantime.
Relates to #10154 and #10150
Adds link to additional information on how document frequencies are treated across shards to the cutoff_frequency parameter documentation.
Closes#10451
The analysis chain should be used instead of relying on this, as it is
confusing when dealing with different per-field analysers.
The `locale` option was only used for `lowercase_expanded_terms`, which,
once removed, is no longer needed, so it was removed as well.
Fixes#9978
Relates to #9973
Double negatives are confusing, but a triple negative (1 no, 2 non, 3 null)? It takes five minutes to understand this little sentence. Cleaned that up a bit.
Closes#9789
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