Before when a value was copied to a field through a parent field or `copy_to`,
we parsed it using the `FieldMapper` from the source field. Instead we should
parse it using the target `FieldMapper`. This ensures that we apply the
appropriate mapping type and options to the copied value.
To implement the fix cleanly, this PR refactors the value parsing strategy. Now
instead of looking up values directly, field mappers produce a helper object
`ValueFetcher`. The value fetchers are responsible for almost all aspects of
fetching, including looking up the right paths in the _source.
The PR is fairly big but each commit can be reviewed individually.
Fixes#61033.
This commit removes the ability to test the top level result of an aggregator
before it runs the final reduce. All aggregator tests that use AggregatorTestCase#search
are rewritten with AggregatorTestCase#searchAndReduce in order to ensure that we test
the final output (the one sent to the end user) rather than an intermediary result
that could be different.
This change also removes spurious commits triggered on top of a random index writer.
These commits slow down the tests and are redundant with the commits that the
random index writer performs.
This commit does three things:
* Removes all Copyright/license headers for the build.gradle files under x-pack. (implicit Apache license)
* Removes evaluationDependsOn(xpackModule('core')) from build.gradle files under x-pack
* Removes a place holder test in favor of disabling the test task (in the async plugin)
This feature adds a new `fields` parameter to the search request, which
consults both the document `_source` and the mappings to fetch fields in a
consistent way. The PR merges the `field-retrieval` feature branch.
Addresses #49028 and #55363.
We never used the `IndexSettings` parameter and we only used the
`MappedFieldType` parameter to get the name of the field which we
already know everywhere where we build the `IFD.Builder`. This allows us
to drop a fair bit of ceremony from a couple of tests.
Adds a hard_bounds parameter to explicitly limit the buckets that a histogram
can generate. This is especially useful in case of open ended ranges that can
produce a very large number of buckets.
With the removal of mapping types and the immutability of FieldTypeLookup in #58162, we no longer
have any cause to compare MappedFieldType instances. This means that we can remove all equals
and hashCode implementations, and in addition we no longer need the clone implementations which
were required for equals/hashcode testing. This greatly simplifies implementing new MappedFieldTypes,
which will be particularly useful for the runtime fields project.
The FieldMapper infrastructure currently has a bunch of shared parameters, many of which
are only applicable to a subset of the 41 mapper implementations we ship with. Merging,
parsing and serialization of these parameters are spread around the class hierarchy, with
much repetitive boilerplate code required. It would be much easier to reason about these
things if we could declare the parameter set of each FieldMapper directly in the implementing
class, and share the parsing, merging and serialization logic instead.
This commit is a first effort at introducing a declarative parameter style. It adds a new FieldMapper
subclass, ParametrizedFieldMapper, and refactors two mappers, Boolean and Binary, to use it.
Parameters are declared on Builder classes, with the declaration including the parameter name,
whether or not it is updateable, a default value, how to parse it from mappings, and how to
extract it from another mapper at merge time. Builders have a getParameters method, which
returns a list of the declared parameters; this is then used for parsing, merging and serialization.
Merging is achieved by constructing a new Builder from the existing Mapper, and merging in
values from the merging Mapper; conflicts are all caught at this point, and if none exist then a new,
merged, Mapper can be built from the Builder. This allows all values on the Mapper to be final.
Other mappers can be gradually migrated to this new style, and once they have all been refactored
we can merge ParametrizedFieldMapper and FieldMapper entirely.
This makes a `parentCardinality` available to every `Aggregator`'s ctor
so it can make intelligent choices about how it collects bucket values.
This replaces `collectsFromSingleBucket` and is similar to it but:
1. It supports `NONE`, `ONE`, and `MANY` values and is generally
extensible if we decide we can use more precise counts.
2. It is more accurate. `collectsFromSingleBucket` assumed that all
sub-aggregations live under multi-bucket aggregations. This is
normally true but `parentCardinality` is properly carried forward
for single bucket aggregations like `filter` and for multi-bucket
aggregations configured in single-bucket for like `range` with a
single range.
While I was touching every aggregation I renamed `doCreateInternal` to
`createMapped` because that seemed like a much better name and it was
right there, next to the change I was already making.
Relates to #56487
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
Working through a heap dump for an unrelated issue I found that we can easily rack up
tens of MBs of duplicate empty instances in some cases.
I moved to a static constructor to guard against that in all cases.
The checks on the license state have a singular method, isAllowed, that
returns whether the given feature is allowed by the current license.
However, there are two classes of usages, one which intends to actually
use a feature, and another that intends to return in telemetry whether
the feature is allowed. When feature usage tracking is added, the latter
case should not count as a "usage", so this commit reworks the calls to
isAllowed into 2 methods, checkFeature, which will (eventually) both
check whether a feature is allowed, and keep track of the last usage
time, and isAllowed, which simply determines whether the feature is
allowed.
Note that I considered having a boolean flag on the current method, but
wanted the additional clarity that a different method name provides,
versus a boolean flag which is more easily copied without realizing what
the flag means since it is nameless in call sites.
* Replace compile configuration usage with api (#58451)
- Use java-library instead of plugin to allow api configuration usage
- Remove explicit references to runtime configurations in dependency declarations
- Make test runtime classpath input for testing convention
- required as java library will by default not have build jar file
- jar file is now explicit input of the task and gradle will ensure its properly build
* Fix compile usages in 7.x branch
Now that MappedFieldType no longer extends lucene's FieldType, we need to have a
way of getting the index information about a field necessary for building text queries,
building term vectors, highlighting, etc. This commit introduces a new TextSearchInfo
abstraction that holds this information, and a getTextSearchInfo() method to
MappedFieldType to make it available. Field types that do not support text search can
just return null here.
This allows us to remove the MapperService.getLuceneFieldType() shim method.
Fixes a bug in TextFieldMapper serialization when index is false, and adds a
base-class test to ensure that all field mappers are tested against all variations
with defaults both included and excluded.
Fixes#58188
This is currently used to set the indexVersionCreated parameter on FieldMapper.
However, this parameter is only actually used by two implementations, and clutters
the API considerably. We should just remove it, and use it directly in the
implementations that require it.
MappedFieldType is a combination of two concerns:
* an extension of lucene's FieldType, defining how a field should be indexed
* a set of query factory methods, defining how a field should be searched
We want to break these two concerns apart. This commit is a first step to doing this, breaking
the inheritance relationship between MappedFieldType and FieldType. MappedFieldType
instead has a series of boolean flags defining whether or not the field is searchable or
aggregatable, and FieldMapper has a separate FieldType passed to its constructor defining
how indexing should be done.
Relates to #56814
* Remove usage of deprecated testCompile configuration
* Replace testCompile usage by testImplementation
* Make testImplementation non transitive by default (as we did for testCompile)
* Update CONTRIBUTING about using testImplementation for test dependencies
* Fail on testCompile configuration usage
At some point, we changed the supported-type test to also catch
assertion errors. This has the side effect of also catching the
`fail()` call inside the try-catch, which silently smothered some
failures.
This modifies the test to throw at the end of the try-catch
block to prevent from accidentally catching itself.
Catching the AssertionError is convenient because there are other locations
that do throw an assertion in tests (due to hitting an assertion
before the exception is thrown) so I think we should keep it around.
Also includes a variety of fixes to other tests which were failing
but being silently smothered.
The searcher was randomly wrapping its reader as slow, parallel, or filtered.
This was causing casting issues in the normalizer tests. By removing the
wrapping, the problem goes away.
Closes#57164
Merging logic is currently split between FieldMapper, with its merge() method, and
MappedFieldType, which checks for merging compatibility. The compatibility checks
are called from a third class, MappingMergeValidator. This makes it difficult to reason
about what is or is not compatible in updates, and even what is in fact updateable - we
have a number of tests that check compatibility on changes in mapping configuration
that are not in fact possible.
This commit refactors the compatibility logic so that it all sits on FieldMapper, and
makes it called at merge time. It adds a new FieldMapperTestCase base class that
FieldMapper tests can extend, and moves the compatibility testing machinery from
FieldTypeTestCase to here.
Relates to #56814
Mapper.Builder currently has some complex generics on it to allow fluent builder
construction. However, the second parameter, a return type from the build() method,
is unnecessary, as we can use covariant return types. This commit removes this second
generic parameter.
This aggregation will perform normalizations of metrics
for a given series of data in the form of bucket values.
The aggregations supports the following normalizations
- rescale 0-1
- rescale 0-100
- percentage of sum
- mean normalization
- z-score normalization
- softmax normalization
To specify which normalization is to be used, it can be specified
in the normalize agg's `normalizer` field.
For example:
```
{
"normalize": {
"buckets_path": <>,
"normalizer": "percent"
}
}
```
Similar to what the moving function aggregation does, except merging windows of percentiles
sketches together instead of cumulatively merging final metrics
Right now all implementations of the `terms` agg allocate a new
`Aggregator` per bucket. This uses a bunch of memory. Exactly how much
isn't clear but each `Aggregator` ends up making its own objects to read
doc values which have non-trivial buffers. And it forces all of it
sub-aggregations to do the same. We allocate a new `Aggregator` per
bucket for two reasons:
1. We didn't have an appropriate data structure to track the
sub-ordinals of each parent bucket.
2. You can only make a single call to `runDeferredCollections(long...)`
per `Aggregator` which was the only way to delay collection of
sub-aggregations.
This change switches the method that builds aggregation results from
building them one at a time to building all of the results for the
entire aggregator at the same time.
It also adds a fairly simplistic data structure to track the sub-ordinals
for `long`-keyed buckets.
It uses both of those to power numeric `terms` aggregations and removes
the per-bucket allocation of their `Aggregator`. This fairly
substantially reduces memory consumption of numeric `terms` aggregations
that are not the "top level", especially when those aggregations contain
many sub-aggregations. It also is a pretty big speed up, especially when
the aggregation is under a non-selective aggregation like
the `date_histogram`.
I picked numeric `terms` aggregations because those have the simplest
implementation. At least, I could kind of fit it in my head. And I
haven't fully understood the "bytes"-based terms aggregations, but I
imagine I'll be able to make similar optimizations to them in follow up
changes.
Rounding dates on a shard that contains a daylight savings time transition
is currently something like 1400% slower than when a shard contains dates
only on one side of the DST transition. And it makes a ton of short lived
garbage. This replaces that implementation with one that benchmarks to
having around 30% overhead instead of the 1400%. And it doesn't generate
any garbage per search hit.
Some background:
There are two ways to round in ES:
* Round to the nearest time unit (Day/Hour/Week/Month/etc)
* Round to the nearest time *interval* (3 days/2 weeks/etc)
I'm only optimizing the first one in this change and plan to do the second
in a follow up. It turns out that rounding to the nearest unit really *is*
two problems: when the unit rounds to midnight (day/week/month/year) and
when it doesn't (hour/minute/second). Rounding to midnight is consistently
about 25% faster and rounding to individual hour or minutes.
This optimization relies on being able to *usually* figure out what the
minimum and maximum dates are on the shard. This is similar to an existing
optimization where we rewrite time zones that aren't fixed
(think America/New_York and its daylight savings time transitions) into
fixed time zones so long as there isn't a daylight savings time transition
on the shard (UTC-5 or UTC-4 for America/New_York). Once I implement
time interval rounding the time zone rewriting optimization *should* no
longer be needed.
This optimization doesn't come into play for `composite` or
`auto_date_histogram` aggs because neither have been migrated to the new
`DATE` `ValuesSourceType` which is where that range lookup happens. When
they are they will be able to pick up the optimization without much work.
I expect this to be substantial for `auto_date_histogram` but less so for
`composite` because it deals with fewer values.
Note: My 30% overhead figure comes from small numbers of daylight savings
time transitions. That overhead gets higher when there are more
transitions in logarithmic fashion. When there are two thousand years
worth of transitions my algorithm ends up being 250% slower than rounding
without a time zone, but java time is 47000% slower at that point,
allocating memory as fast as it possibly can.
`FieldMapper#parseCreateField` accepts the parse context, plus a list of fields
as an output parameter. These fields are immediately added to the document
through `ParseContext#doc()`.
This commit simplifies the signature by removing the list of fields, and having
the mappers add the fields directly to `ParseContext#doc()`. I think this is
nicer for implementors, because previously fields could be added either through
the list, or the context (through `add`, `addWithKey`, etc.)
Backports #55933 to 7.x
Implements value_count and avg aggregations over Histogram fields as discussed in #53285
- value_count returns the sum of all counts array of the histograms
- avg computes a weighted average of the values array of the histogram by multiplying each value with its associated element in the counts array
This commit converts the remaining isXXXAllowed methods to instead of
use isAllowed with a Feature value. There are a couple other methods
that are static, as well as some licensed features that check the
license directly, but those will be dealt with in other followups.
Backports #55826 to 7.x
Modified AggregatorTestCase.searchAndReduce() method so that it returns an empty aggregation result when no documents have been inserted.
Also refactored several aggregation tests so they do not re-implement method AggregatorTestCase.testCase()
Fixes#55824
Implements Sum aggregation over Histogram fields by summing the value of each bucket multiplied by their count as requested in #53285
Backports #55681 to 7.x
This adds a validation to VSParserHelper to ensure that a field or
script or both are specified by the user. This is technically
required today already, but throws an exception much deeper
in the agg framework and has a very unintuitive error for the user
(as well as eating more resources instead of failing early)
Some aggregations, such as the Terms* family, will use an alternate
class to represent unmapped shard results (while the rest of the aggs
use the same object but with some form of "empty" or "nullish" values
to represent unmapped).
This was problematic with AbstractWireSerializingTestCase because it
expects the instanceReader to always match the original class. Instead,
we need to use the NamedWriteable version so that the registry
can be consulted for the proper deserialization reader.
* Add ValuesSource Registry and associated logic (#54281)
* Remove ValuesSourceType argument to ValuesSourceAggregationBuilder (#48638)
* ValuesSourceRegistry Prototype (#48758)
* Remove generics from ValuesSource related classes (#49606)
* fix percentile aggregation tests (#50712)
* Basic thread safety for ValuesSourceRegistry (#50340)
* Remove target value type from ValuesSourceAggregationBuilder (#49943)
* Cleanup default values source type (#50992)
* CoreValuesSourceType no longer implements Writable (#51276)
* Remove genereics & hard coded ValuesSource references from Matrix Stats (#51131)
* Put values source types on fields (#51503)
* Remove VST Any (#51539)
* Rewire terms agg to use new VS registry (#51182)
Also adds some basic AggTestCases for untested code
paths (and boilerplate for future tests once the IT are
converted over)
* Wire Cardinality aggregation to work with the ValuesSourceRegistry (#51337)
* Wire Percentiles aggregator into new VS framework (#51639)
This required a bit of a refactor to percentiles itself. Before,
the Builder would switch on the chosen algo to generate an
algo-specific factory. This doesn't work (or at least, would be
difficult) in the new VS framework.
This refactor consolidates both factories together and introduces
a PercentilesConfig object to act as a standardized way to pass
algo-specific parameters through the factory. This object
is then used when deciding which kind of aggregator to create
Note: CoreValuesSourceType.HISTOGRAM still lives in core, and will
be moved in a subsequent PR.
* Remove generics and target value type from MultiVSAB (#51647)
* fix checkstyle after merge (#52008)
* Plumb ValuesSourceRegistry through to QuerySearchContext (#51710)
* Convert RareTerms to new VS registry (#52166)
* Wire up Value Count (#52225)
* Wire up Max & Min aggregations (#52219)
* ValuesSource refactoring: Wire up Sum aggregation (#52571)
* ValuesSource refactoring: Wire up SigTerms aggregation (#52590)
* Soft immutability for VSConfig (#52729)
* Unmute testSupportedFieldTypes, fix Percentiles/Ranks/Terms tests (#52734)
Also fixes Percentiles which was incorrectly specified to only accept
numeric, but in fact also accepts Boolean and Date (because those are
numeric on master - thanks `testSupportedFieldTypes` for catching it!)
* VS refactoring: Wire up stats aggregation (#52891)
* ValuesSource refactoring: Wire up string_stats aggregation (#52875)
* VS refactoring: Wire up median (MAD) aggregation (#52945)
* fix valuesourcetype issue with constant_keyword field (#53041)x-pack/plugin/rollup/src/main/java/org/elasticsearch/xpack/rollup/job/RollupIndexer.java
this commit implements `getValuesSourceType` for
the ConstantKeyword field type.
master was merged into feature/extensible-values-source
introducing a new field type that was not implementing
`getValuesSourceType`.
* ValuesSource refactoring: Wire up Avg aggregation (#52752)
* Wire PercentileRanks aggregator into new VS framework (#51693)
* Add a VSConfig resolver for aggregations not using the registry (#53038)
* Vs refactor wire up ranges and date ranges (#52918)
* Wire up geo_bounds aggregation to ValuesSourceRegistry (#53034)
This commit updates the geo_bounds aggregation to depend
on registering itself in the ValuesSourceRegistry
relates #42949.
* VS refactoring: convert Boxplot to new registry (#53132)
* Wire-up geotile_grid and geohash_grid to ValuesSourceRegistry (#53037)
This commit updates the geo*_grid aggregations to depend
on registering itself in the ValuesSourceRegistry
relates to the values-source refactoring meta issue #42949.
* Wire-up geo_centroid agg to ValuesSourceRegistry (#53040)
This commit updates the geo_centroid aggregation to depend
on registering itself in the ValuesSourceRegistry.
relates to the values-source refactoring meta issue #42949.
* Fix type tests for Missing aggregation (#53501)
* ValuesSource Refactor: move histo VSType into XPack module (#53298)
- Introduces a new API (`getBareAggregatorRegistrar()`) which allows plugins to register aggregations against existing agg definitions defined in Core.
- This moves the histogram VSType over to XPack where it belongs. `getHistogramValues()` still remains as a Core concept
- Moves the histo-specific bits over to xpack (e.g. the actual aggregator logic). This requires extra boilerplate since we need to create a new "Analytics" Percentile/Rank aggregators to deal with the histo field. Doubly-so since percentiles/ranks are extra boiler-plate'y... should be much lighter for other aggs
* Wire up DateHistogram to the ValuesSourceRegistry (#53484)
* Vs refactor parser cleanup (#53198)
Co-authored-by: Zachary Tong <polyfractal@elastic.co>
Co-authored-by: Zachary Tong <zach@elastic.co>
Co-authored-by: Christos Soulios <1561376+csoulios@users.noreply.github.com>
Co-authored-by: Tal Levy <JubBoy333@gmail.com>
* First batch of easy fixes
* Remove List.of from ValuesSourceRegistry
Note that we intend to have a follow up PR dealing with the mutability
of the registry, so I didn't even try to address that here.
* More compiler fixes
* More compiler fixes
* More compiler fixes
* Precommit is happy and so am I
* Add new Core VSTs to tests
* Disabled supported type test on SigTerms until we can backport it's fix
* fix checkstyle
* Fix test failure from semantic merge issue
* Fix some metaData->metadata replacements that got lost
* Fix list of supported types for MinAggregator
* Fix list of supported types for Avg
* remove unused import
Co-authored-by: Zachary Tong <polyfractal@elastic.co>
Co-authored-by: Zachary Tong <zach@elastic.co>
Co-authored-by: Christos Soulios <1561376+csoulios@users.noreply.github.com>
Co-authored-by: Tal Levy <JubBoy333@gmail.com>
Today we pass the `RepositoriesService` to the searchable snapshots plugin
during the initialization of the `RepositoryModule`, forcing the plugin to be a
`RepositoryPlugin` even though it does not implement any repositories.
After discussion we decided it best for now to pass this in via
`Plugin#createComponents` instead, pending some future work in which plugins
can depend on services more dynamically.
Igor Motov
Julie Tibshirani
Mark Tozzi
Jim Ferenczi
Jake Landis
Nik Everett
Christos Soulios
Alan Woodward
Armin Braun
Ryan Ernst
Rene Groeschke
Zachary Tong
Tal Levy
Ignacio Vera
Tanguy Leroux
David Turner