Currently we support empty query clauses like the filter in
"constant_score" : { "filter" : { } }
How these clauses are handled depends on the surrounding query.
They later are either ignored, converted to match all or no documents or
passed up further in the query hierarchy. During parsing these claues are
currently represented as EmptyQueryBuilders. When not handled anywhere else,
these special cases need to be checked for on the shard when building the
lucene query.
This is trappy, so this PR changes the parsing of compound queries. Instead
of returning QueryBuilder, the core query parsing method
QueryShardContext#parseInnerQueryBuilder() now return an Optional which can
be empty in the case of empty query clauses. This has the advantage of forcing
callers to deal with this sooner or later. When encountering empty Optionals,
compound query builders now have the choice to ignore them, pass them on or
rewrite to a different query, depending on context.
There is no reason to read the entire marvel hero file to test the features,
it might take several seconds to do so which is unnecessary.
This commit also splits SearchSuggestTests into core and modules/mustache
also add @Nighlty to forbidden API to make sure we don't use it since they won't run in CI these days.
This removes the ScriptMode class entirely, which was an enum with two
options (ON and OFF) which essentially boiled down to true and false.
Now the boolean values are used instead.
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.
Previously multiple extensions could be provided, however, this can lead
to confusion with on-disk scripts (ie, "foo.js" and "foo.javascript")
having different content. Only a single extension is now supported.
The only language currently supporting multiple extensions was the
Javascript engine ("js" and "javascript"). It now only supports the
`.js` extension.
Relates to #10598
This removes all the mentions of the sandbox from the script engine
services and permissions model. This means that the following settings
are no longer supported:
```yaml
script.inline: sandbox
script.stored: sandbox
```
Instead, only a `true` or `false` value can be specified.
Since this would otherwise break the default-allow parameter for
languages like expressions, painless, and mustache, all script engines
have been updated to have individual settings, for instance:
```yaml
script.engine.groovy.inline: true
```
Would enable all inline scripts for groovy. (they can still be
overridden on a per-operation basis).
Expressions, Painless, and Mustache all default to `true` for inline,
file, and stored scripts to preserve the old scripting behavior.
Resolves#17114
The query shard reset() method resets some internal state in the
query shard context, like clearing query names, the filter flag
or named queries. The problem with this method being public is
that it currently (miss?) used for modifying an existing context
for recursive invocatiob, but the contexts that have been reseted
that way cannot be properly set back to their previous state.
This PR is a step towards removing reset() entirely by first making
it only be used internally in QueryShardContext. In places where
reset() was used we can either create new QueryShardContexts or
modify the existing context because it is discarded afterwards anyway.
Now that the current uses of magical camelCase support have been
deprecated, we can remove these in master (sans remaining issues like
BulkRequest). This change removes camel case support from ParseField,
query types, analysis, and settings lookup.
see #8988
This change cleans up a few things in QueryParseContext and QueryShardContext
that make it hard to reason about the state of these context objects and are
thus error prone and should be simplified.
Currently the parser that used in QueryParseContext can be set and reset any
time from the outside, which makes reasoning about it hard. This change makes
the parser a mandatory constructor argument removes ability to later set a
different ParseFieldMatcher. If none is provided at construction time, the
one set inside the parser is used. If a ParseFieldMatcher is specified at
construction time, it is implicitely set on the parser that is beeing used.
The ParseFieldMatcher is only kept inside the parser.
Also currently the QueryShardContext historically holds an inner QueryParseContext
(in the super class QueryRewriteContext), that is mainly used to hold the parser
and parseFieldMatcher. For that reason, the parser can also be reset, which leads
to the same problems as above. This change removes the QueryParseContext from
QueryRewriteContext and removes the ability to reset or retrieve it from the
QueryShardContext. Instead, `QueryRewriteContext#newParseContext(parser)` can be
used to create new parse contexts with the given parser from a shard context
when needed.
We have both `Settings.settingsBuilder` and `Settings.builder` that do exactly
the same thing, so we should keep only one. I kept `Settings.builder` since it
has my preference but also it is the one that we use in examples of the Java API.
FieldStatsProvider had to perform instanceof calls to properly handle dates or
ip addresses. By moving the logic to MappedFieldType, each field type can check
whether all values are within bounds its way.
Note that this commit only keeps rewriting support for dates, which are the only
field for which the rewriting mechanism is likely to help (because of time-based
indices).
We current have a ClusterService interface, implemented by InternalClusterService and a couple of test classes. Since the decoupling of the transport service and the cluster service, one can construct a ClusterService fairly easily, so we don't need this extra indirection.
Closes#17183
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
Today, certain bootstrap properties are set and read via system
properties. This action-at-distance way of managing these properties is
rather confusing, and completely unnecessary. But another problem exists
with setting these as system properties. Namely, these system properties
are interpreted as Elasticsearch settings, not all of which are
registered. This leads to Elasticsearch failing to startup if any of
these special properties are set. Instead, these properties should be
kept as local as possible, and passed around as method parameters where
needed. This eliminates the action-at-distance way of handling these
properties, and eliminates the need to register these non-setting
properties. This commit does exactly that.
Additionally, today we use the "-D" command line flag to set the
properties, but this is confusing because "-D" is a special flag to the
JVM for setting system properties. This creates confusion because some
"-D" properties should be passed via arguments to the JVM (so via
ES_JAVA_OPTS), and some should be passed as arguments to
Elasticsearch. This commit changes the "-D" flag for Elasticsearch
settings to "-E".
The field name is a required argument for all suggesters, but
it was specified via a field() setter in SuggestionBuilder so far.
This changes field name to being a mandatory constructor argument
and lets suggestion builders throw an error if field name is missing
or the empty string.
This commit removes the ability to use string fields on indices created on or
after 5.0. Dynamic mappings now generate text fields by default for strings
but there are plans to also add a sub keyword field (in a future PR).
Most of the changes in this commit are just about replacing string with
keyword or text. Some tests have been removed because they existed because of
corner cases of string mappings like setting ignore-above on a text field or
enabling term vectors on a keyword field which are now impossible.
The plan is to remove strings entirely in 6.0.
Currently each suggestion keeps track of its own name. This has
the disadvantage of having to pass down the parsed name property
in the suggestions fromXContent() and the serialization methods
as an argument, since we need it in the ctor.
This change moves the naming of the suggestions to the surrounding
SuggestBuilder and by this eliminates the need for passind down
the names in the parsing and serialization methods. By making
`name` a required argument in SuggestBuilder#addSuggestion() we
also make sure it is always set and prevent using the same name twice,
which wasn't possible before.
QueryBuilders today do all their heavy lifting in toQuery() which
can be too late for several operations. For instance if we want to fetch geo shapes
on the coordinating node we need to do all this before we create the actual lucene query
which happens on the shard itself. Also optimizations for request caching need to be done
to the query builder rather than the query which then in-turn needs to be serialized again.
This commit adds the basic infrastructure for query rewriting and moves the heavy lifting into
the rewrite method for the following queries:
* `WrapperQueryBuilder`
* `GeoShapeQueryBuilder`
* `TermsQueryBuilder`
* `TemplateQueryBuilder`
Other queries like `MoreLikeThisQueryBuilder` still need to be fixed / converted. The nice
sideeffect of this is that queries like template queries will now also match the request cache
if their non-template equivalent has been cached befoore. In the future this will allow to
add optimizataion like rewriting time-based queries into primitives like `match_all_docs` or `match_no_docs`
based on the currents shards bounds. This is especially appealing for indices that are read-only ie. never change.
This adds a build method for the SuggestionContext to the PhraseSuggestionBuilder
and another one that creates the SuggestionSearchContext to the top level
SuggestBuilder. Also adding tests that make sure the current way of parsing
xContent to a SuggestionContext is reflected in the output the builders create.
There is no need for IndicesWarmer to be a global accessible class. All it needs
access to is inside IndexService. It also doesn't need to be mutable once it's not a per node
instance. This commit move IndicesWarmer to IndexWarmer and makes the default impls like field data and
norms warming an impl detail. Also the IndexShard doesn't depend on this class anymore, instead it accepts
an Engine.Warmer as a ctor argument which delegates to the actual warmer from the index.
This change rewrites the entire settings filtering mechanism to be immutable.
All filters must be registered up-front in the SettingsModule. Filters that are comma-sparated are
not allowed anymore and check on registration.
This commit also adds settings filtering to the default settings recently added to ensure we don't render
filtered settings.
This commit enableds strict settings validation on node startup. All settings
passed to elasticsearch either through system properties, yaml files or any other
way to pass settings must be registered and valid. Settings that are unknown ie. due to
typos or due to deprecation or removal will cause the node to NOT start up. Plugins
have to declare all their settings on the `SettingsModule#registerSetting` and settings for
plugins that are not installed must be removed.
This commit also removes the ability to specify the nodes name via `-Des.name` or just `name` in the
configuration files. The node name must be prefixed with the node prexif like `node.name: Boom`. Left over
usage of `name` will also cause startup to fail.
As a prerequisite for refactoring the whole PhraseSuggestionBuilder
to be able to be parsed and streamed from the coordinating node, the
DirectCandidateGenerator must implement Writeable, be able to parse
a new instance (fromXContent()) and later when transported to the
shard to generate a PhraseSuggestionContext.DirectCandidateGenerator.
Also adding equals/hashCode and tests and moving DirectCandidateGenerator
to its own DirectCandidateGeneratorBuilder class.
In the early days Elasticsearch used to use the index name as the index identity. Around 1.0.0 we introduced a unique index uuid which is stored in the index setting. Since then we used that uuid in a few places but it is by far not the main identifier when working with indices, partially because it's not always readily available in all places.
This PR start to make a move in the direction of using uuids instead of name by making sure that the uuid is available on the Index class (currently just a wrapper around the name) and as such also available via ShardRouting and ShardId.
Note that this is by no means an attempt to do the right thing with the uuid in all places. In almost all places it falls back to the name based comparison that was done before. It is meant as a first step towards slowly improving the situation.
Closes#16217
Adding initial serialization methods (readFrom, writeTo) to the
PhraseSuggestionBuilder, also adding the base test framework for
serialiazation testing, equals and hashCode. Moving SuggestionBuilder
out of the global SuggestBuilder for better readability.
This commit method renames the ScriptEngineService interface methods
types, extensions, and sandboxed to getTypes, getExtensions, and
isSandboxed, respectively.
This commit converts the script mode settings to the new settings
infrastructure. This is a major refactoring of the handling of script
mode settings. This refactoring is necessary because these settings are
determined at runtime based on the registered script engines and the
registered script contexts.
Parsing is currently very lenient, which has the bad side-effect that if you
have a typo and pass eg. `store: fasle` this will actually be interpreted as
`store: true`. Since mappings can't be changed after the fact, it is quite bad
if it happens on an index that already contains data.
Note that this does not cover all settings that accept a boolean, but since the
PR was quite hard to build and already covers some main settirgs like `store`
or `doc_values` this would already be a good incremental improvement.
This adds support for returning the size of an array
or an collection, in addition to access fields via
`array.0` you can specify `array.size` to get its size.
* Added a `content_type` option at compile time to decide how variable values are encoded. Possible values are `application/json` and `plain/text`. Defaults to `application/json`.
* Added support for variable placeholders to lookup values from specific slots in arrays/lists.
The rest test framework, because it used to be tightly integrated with
ESIntegTestCase, currently expects the addresses for the test cluster to
be passed using the transport protocol port. However, it only uses this
to then find the http address.
This change makes ESRestTestCase extend from ESTestCase instead of
ESIntegTestCase, and changes the sysprop used to tests.rest.cluster,
which now takes the http address.
closes#15459
We have two similar tests with the same name, ContextAndHeaderTransportTests.
They shared lots of common code so I extracted much of it into
ActionRecordingPlugin, a plugin which records all action requests for later
inspection.
I also removed all the warnings from both tests. That made lang-mustache
compile cleanly without any custom -Xlint so I removed those. To remove
the warnings I had to add type parameters to ActionFilter which seemed
like a good idea anyway.
1. Gets guice out of the business of building ScoreFunctionParsers and
QueryParsers.
2. Moves QueryParser registration to SearchModule
3. Moves NamedWriteableRegistry construction out of guice and into Node and
TransportClient.
4. Moves shape registration into SearchModule so now all named writeable
registration is done in the SearchModule.
This is breaking for plugin authors. Instead of declaring new QueryParser
like:
```java
public void onModule(IndicesModule module) {
module.registerQueryParser(NewQueryParser.class);
}
```
you do it like:
```java
public void onModule(SearchModule module) {
module.registerQueryParser(NewQueryParser::new);
}
```
The QueryParser's argument no longer come from @Inject, now they come from
the declaration in the plugin. The above example is for a no-arg QueryParser.
Most of the QueryParsers in Elasticsearch are no-arg.
ScoreFunctionParsers have a similar but slightly different change. This:
```java
public void onModule(SearchModule module) {
module.registerFunctionScoreParser(NewFunctionScoreParser.class);
}
```
becomes
```java
public void onModule(SearchModule module) {
module.registerFunctionScoreParser(new NewFunctionScoreParser());
}
```
Since all known ScoreFunctionParsers have no arg constructors its simpler to
just build them at registration time rather than specify a supplier that is
used to build them later.
Site plugins used to be used for things like kibana and marvel, but
there is no longer a need since kibana (and marvel as a kibana plugin)
uses node.js. This change removes site plugins, as well as the flag for
jvm plugins. Now all plugins are jvm plugins.
* Added percolator field mapper that extracts the query terms and indexes these terms with the percolator query.
* At percolate time these extracted terms are used to query percolator queries that are like to be evaluated. This can significantly cut down the time it takes to percolate. Whereas before all percolator queries were evaluated if they matches with the document being percolated.
* Changes made to percolator queries are no longer immediately visible, a refresh needs to happen before the changes are visible.
* By default the percolate api only returns upto 10 matches instead of returning all matching percolator queries.
* Made percolate more modular, so that it is easier to add unit tests.
* Added unit tests for the percolator.
Closes#12664Closes#13646
Christoph Büscher
Simon Willnauer
Robert Muir
Lee Hinman
Martijn van Groningen
Ryan Ernst
Adrien Grand
Nik Everett
Areek Zillur
Boaz Leskes
Jason Tedor
Yannick Welsch
Clinton Gormley
Ali Beyad
Simon Willnauer
Alexander Reelsen
markharwood
Daniel Mitterdorfer
Jack Conradson