Reworks the `parent` and `child` aggregation are not at the top level
using the optimization from #55873. Instead of wrapping all
non-top-level `parent` and `child` aggregators we now handle being a
child aggregator in the aggregator, specifically by adding recording
which global ordinals show up in the parent and then checking if they
match the child.
Adds assertions to Netty to make sure that its threads are not polluted by thread contexts (and
also that thread contexts are not leaked). Moves the ClusterApplierService to use the system
context (same as we do for MasterService), which allows to remove a hack from
TemplateUgradeService and makes it clearer that applying CS updates is fully executing under
system context.
When Joni, the regex engine that powers grok emits a warning it
does so by default to System.err. System.err logs are all bucketed
together in the server log at WARN level. When Joni emits a warning,
it can be extremely verbose, logging a message for each execution
again that pattern. For ingest node that means for every document
that is run that through Grok. Fortunately, Joni provides a call
back hook to push these warnings to a custom location.
This commit implements Joni's callback hook to push the Joni warning
to the Elasticsearch server logger (logger.org.elasticsearch.ingest.common.GrokProcessor)
at debug level. Generally these warning indicate a possible issue with
the regular expression and upon creation of the Grok processor will
do a "test run" of the expression and log the result (if any) at WARN
level. This WARN level log should only occur on pipeline creation which
is a much lower frequency then every document.
Additionally, the documentation is updated with instructions for how
to set the logger to debug level.
Allow for optimistic concurrency control during ingest by checking the
sequence number and primary term. This is accomplished by defining
_if_seq_no and _if_primary_term in the pipeline, similarly to _version
and _version_type.
Closes#41255
Co-authored-by: Maria Ralli <mariai.ralli@gmail.com>
Adds assertions to Netty to make sure that its threads are not polluted by thread contexts (and
also that thread contexts are not leaked). Moves the ClusterApplierService to use the system
context (same as we do for MasterService), which allows to remove a hack from
TemplateUgradeService and makes it clearer that applying CS updates is fully executing under
system context.
Before to determine if a field is meta-field, a static method of MapperService
isMetadataField was used. This method was using an outdated static list
of meta-fields.
This PR instead changes this method to the instance method that
is also aware of meta-fields in all registered plugins.
Related #38373, #41656Closes#24422
Follow up to #56961:
We can be a little more efficient than just serializing at the IO loop by serializing
only when we flush to a channel. This has the advantage that we don't serialize a long
queue of messages for a channel that isn't writable for a longer period of time (unstable network,
actually writing large volumes of data, etc.).
Also, this further reduces the time for which we hold on to the write buffer for a message,
making allocations because of an empty page cache recycler pool less likely.
Pulls the way that the `ParentJoinAggregator` collects global ordinals
into a strategy object so it is a little simpler to reason about and
it'll be simpler to save memory by removing `asMultiBucketAggregator` in
the future.
Relates to #56487
Almost every outbound message is serialized to buffers of 16k pagesize.
We were serializing these messages off the IO loop (and retaining the concrete message
instance as well) and would then enqueue it on the IO loop to be dealt with as soon as the
channel is ready.
1. This would cause buffers to be held onto for longer than necessary, causing less reuse on average.
2. If a channel was slow for some reason, not only would concrete message instances queue up for it, but also 16k of buffers would be reserved for each message until it would be written+flushed physically.
With this change, the serialization happens on the event loop which effectively limits the number of buffers that `N` IO-threads will ever use so long as messages are small and channels writable.
Also, this change dereferences the reference to the concrete outbound message as soon as it has been serialized to save some more on GC.
This reduces the GC time for a default PMC run by about 50% in experiments (3 nodes, 2G heap each, loopback ... obvious caveat is that GC isn't that heavy in the first place with recent changes but still a measurable gain).
I also expect it to be helpful for master node stability by causing less of a spike if master is e.g. hit by a large number of requests that are processed batched (e.g. shard snapshot status updates) and responded to in a short time frame all at once.
Obviously, the downside to this change is that it introduces more latency on the IO loop for the serialization. But since we read all of these messages on the IO loop as well I don't see it as much of a qualitative change really and the more predictable buffer use seems much more valuable relatively.
Previously we'd get a `ClassCastException` when you tried to use
`numeric_type` on `scaled_float`. Oops! This cleans up the CCE and moves
some code around so the casting actually works.
This commit adds support for rules with multiple tokens on LHS, also
known as "contraction rules", into stemmer override token
filter. Contraction rules are handy into translating multiple
inflected words into the same root form. One side effect of this change is
that it brings stemmer override rules format closer to synonym rules
format so that it makes it easier to translate one into another.
This change also makes stemmer override rules parser more strict so
that it should catch more errors which were previously accepted.
Closes#56113
When the parameter `max_docs` is less than `slices` in update_by_query,
delete_by_query or reindex API, `max_docs ` is set to 0 and we throw an
action_request_validation_exception with confused error message:
"maxDocs should be greater than 0...".
This change checks that whether `max_docs` is less than `slices` and
throw an illegal_argument_exception with clear message.
Relates to #52786.
Co-authored-by: bellengao <gbl_long@163.com>
When we had multiple mapping types, an update to a field in one type had to be
propagated to the same field in all other types. This was done using the
Mapper.updateFieldType() method, called at the end of a merge. However, now
that we only have a single type per index, this method is unnecessary and can
be removed.
Relates to #41059
Backport of #56986
We don't need to hold on to the request body past the beginning of sending
the response. There is no need to keep a reference to it until after the response
has been sent fully and we can eagerly release it here.
Note, this can be optimized further to release the contents even earlier but for now
this is an easy increment to saving some memory on the IO pool.
* Update DeprecationMap to DynamicMap (#56149)
This renames DeprecationMap to DynamicMap, and changes the deprecation
messages Map to accept a Map of String (keys) to Functions (updated values)
instead. This creates more flexibility in either logging or updating values from
params within a script. This change is required to fix (#52103) in a future PR.
* Fix Source Return Bug in Scripting (#56831)
This change ensures that when a user returns _source directly no matter where
accessed within scripting, the value is a Map of the converted source as
opposed to a SourceLookup.
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
Elasticsearch requires that a HttpRequest abstraction be implemented
by http modules before server processing. This abstraction controls when
underlying resources are released. This commit moves this abstraction to
be created immediately after content aggregation. This change will
enable follow-up work including moving Cors logic into the server
package and tracking bytes as they are aggregated from the network
level.
In most cases we are seeing a `PooledHeapByteBuf` here now. No need to
redundantly create an new `ByteBuffer` and single element array for it
here when we can just directly unwrap its internal `byte[]`.
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 is another part of the breakup of the massive BuildPlugin. This PR
moves the code for configuring publications to a separate plugin. Most
of the time these publications are jar files, but this also supports the
zip publication we have for integ tests.
We never do any file IO or other blocking work on the transport threads
so no tangible benefit can be derived from using more threads than CPUs
for IO.
There are however significant downsides to using more threads than necessary
with Netty in particular. Since we use the default setting for
`io.netty.allocator.useCacheForAllThreads` which is `true` we end up
using up to `16MB` of thread local buffer cache for each transport thread.
Meaning we potentially waste CPUs * 16MB of heap for unnecessary IO threads in addition to obvious inefficiencies of artificially adding extra context switches.
This PR proposes to use `IndexSortSortedNumericDocValuesRangeQuery` when
possible to speed up certain range queries. Points-based queries are already
very efficient, the only time this query makes a difference is when the range
matches a large number of documents.
Relates to #48665.
If a conditional is added to a processor, and that processor fails, and
that processor has an on_failure handler, the full trace of all of the
executed processors may not be displayed in simulate verbose. The
information is correct, but misses displaying some of the steps used
to get there.
This happens because a processor that is conditional processor is a
wrapper around the real processor and a processor with an on_failure
handler is also a wrapper around the processor(s). When decorating for
simulation we treat compound processor specially, but if a compound processor
is wrapped by a conditional processor that compound processor's processors
can be missed for decoration resulting in the missing displayed steps.
The fix to this is to treat the conditional processor specially and
explicitly seperate it from the processor it is wrapping. This requires
us to keep track of 2 processors a possible conditional processor and
the actual processor it may be wrapping.
related: #56004
Currently Elasticsearch creates independent event loop groups for each
transport (http and internal) transport type. This is unnecessary and
can lead to contention when different threads access shared resources
(ex: allocators). This commit moves to a model where, by default, the
event loops are shared between the transports. The previous behavior can
be attained by specifically setting the http worker count.
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.
Another Jackson release is available. There are some CVEs addressed,
none of which impact us, but since we can now bump Jackson easily, let
us move along with the train to avoid the false positives from security
scanners.
`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.)
Backport of #56034.
Move includeDataStream flag from an IndicesOptions to IndexNameExpressionResolver.Context
as a dedicated field that callers to IndexNameExpressionResolver can set.
Also alter indices stats api to support data streams.
The rollover api uses this api and otherwise rolling over data stream does no longer work.
Relates to #53100
* Emit deprecation warning if multiple v1 templates match with a new index (#55558)
* Emit deprecation warning if multiple v1 templates match with a new index
* DEPRECATION_LOGGER rename
* Fix empty_value handling in CsvProcessor
Due to bug in `CsvProcessor.Factory` it was impossible to specify `empty_value`.
This change fixes that and adds relevant test.
Closes#55643
* assert changed
The Lucene `preserve_original` setting is currently not supported in the `edge_ngram`
token filter. This change adds it with a default value of `false`.
Closes#55767
Currently there is a clear mechanism to stub sending a request through
the transport. However, this is limited to testing exceptions on the
sender side. This commit reworks our transport related testing
infrastructure to allow stubbing request handling on the receiving side.
* Simplify java home verification
At one time, all uses of java home were found through the getJavaHome
utility method on BuildPlugin. However, that was changed many
refactorings ago, but the complex support for registering a java home
version needed that fails at configuration time still exists. The only
remaining use of grabbing java home is within bwc tests, and must be at
runtime since that is when we have the checkout and know what version is
needed.
This commit consolidates the java home finding method into a utility
unassociated with BuildPlugin.
* fix checkstyle
* address feedback
Backport of #55115.
Replace calls to deprecate(String,Object...) with deprecateAndMaybeLog(...),
with an appropriate key, so that all messages can potentially be deduplicated.
A JSON schema was recently introduced for the REST API specification. #54252
This PR introduces a 3rd party validation tool to ensure that the
REST specification conforms to the schema.
The task is applied to the 3 projects that contain REST API specifications.
The plugin wires this task into the precommit commit task, and should be
considered as part of the public API for the build tools for any plugin
developer to contribute their plugin's specification.
An ignore parameter has been introduced for the task to allow specific
file to be ignored from the validation. The ignored files in this PR
will soon get issues logged and a link so they can be fixed.
Closes#54314
After #53562, the `geo_shape` field mapper is registered within
a module. This opens the door for introducing a new `geo_shape`
field mapper into the Spatial Plugin that has doc-values support.
This is very much an extension of server's GeoShapeFieldMapper,
but with the addition of the doc values implementation.
The systemd extender is a scheduled execution that ensures we
repeatedly let systemd know during startup that we are still starting
up. We cancel this scheduled execution once the node has successfully
started up. This extender is wrapped in a set once, which we expose
directly. This commit addresses this by putting the extender behind a
getter, which hides the implementation detail that the extener is
wrapped in a set once. This cleans up some issues in tests, that
ensures we are not making assertions about the set once, but instead
about the extender.
When Elasticsearch is starting up, we schedule a thread to repeatedly
let systemd know that we are still in the process of starting up. Today
we use a non-final field for this. This commit changes this to be a set
once so we can mark the field as final, and get stronger guarantees when
reasoning about the state of execution here.
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.
Backport from: #54726
The INCLUDE_DATA_STREAMS indices option controls whether data streams can be resolved in an api for both concrete names and wildcard expressions. If data streams cannot be resolved then a 400 error is returned indicating that data streams cannot be used.
In this pr, the INCLUDE_DATA_STREAMS indices option is enabled in the following APIs: search, msearch, refresh, index (op_type create only) and bulk (index requests with op type create only). In a subsequent later change, we will determine which other APIs need to be able to resolve data streams and enable the INCLUDE_DATA_STREAMS indices option for these APIs.
Whether an api resolve all backing indices of a data stream or the latest index of a data stream (write index) depends on the IndexNameExpressionResolver.Context.isResolveToWriteIndex().
If isResolveToWriteIndex() returns true then data streams resolve to the latest index (for example: index api) and otherwise a data stream resolves to all backing indices of a data stream (for example: search api).
Relates to #53100
* 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.
I've noticed that a lot of our tests are using deprecated static methods
from the Hamcrest matchers. While this is not a big deal in any
objective sense, it seems like a small good thing to reduce compilation
warnings and be ready for a new release of the matcher library if we
need to upgrade. I've also switched a few other methods in tests that
have drop-in replacements.
Upgrade to lucene 8.5.1 release that contains a bug fix for a bug that might introduce index corruption when deleting data from an index that was previously shrunk.
This is a first cut at giving NodeInfo the ability to carry a flexible
list of heterogeneous info responses. The trick is to be able to
serialize and deserialize an arbitrary list of blocks of information. It
is convenient to be able to deserialize into usable Java objects so that
we can aggregate nodes stats for the cluster stats endpoint.
In order to provide a little bit of clarity about which objects can and
can't be used as info blocks, I've introduced a new interface called
"ReportingService."
I have removed the hard-coded getters (e.g., getOs()) in favor of a
flexible method that can return heterogeneous kinds of info blocks
(e.g., getInfo(OsInfo.class)). Taking a class as an argument removes the
need to cast in the client code.
This change converts the module and plugin parameters
for testClusters to be lazy. Meaning that the values
are not resolved until they are actually used. This
removes the requirement to use project.afterEvaluate to
be able to resolve the bundle artifact.
Note - this does not completely remove the need for afterEvaluate
since it is still needed for the custom resource extension.
The use of available processors, the terminology, and the settings
around it have evolved over time. This commit cleans up some places in
the codes and in the docs to adjust to the current terminology.
This commit includes a number of changes to reduce overall build
configuration time. These optimizations include:
- Removing the usage of the 'nebula.info-scm' plugin. This plugin
leverages jgit to load read various pieces of VCS information. This
is mostly overkill and we have our own minimal implementation for
determining the current commit id.
- Removing unnecessary build dependencies such as perforce and jgit
now that we don't need them. This reduces our classpath considerably.
- Expanding the usage lazy task creation, particularly in our
distribution projects. The archives and packages projects create
lots of tasks with very complex configuration. Avoiding the creation
of these tasks at configuration time gives us a nice boost.
This change reintroduces the system index APIs for Kibana without the
changes made for marking what system indices could be accessed using
these APIs. In essence, this is a partial revert of #53912. The changes
for marking what system indices should be allowed access will be
handled in a separate change.
The APIs introduced here are wrapped versions of the existing REST
endpoints. A new setting is also introduced since the Kibana system
indices' names are allowed to be changed by a user in case multiple
instances of Kibana use the same instance of Elasticsearch.
Relates #52385
Backport of #54858
This commit introduces a new `geo` module that is intended
to be contain all the geo-spatial-specific features in server.
As a first step, the responsibility of registering the geo_shape
field mapper is moved to this module.
Co-authored-by: Nicholas Knize <nknize@gmail.com>
This commit moves the action name validation and circuit breaking into
the InboundAggregator. This work is valuable because it lays the
groundwork for incrementally circuit breaking as data is received.
This PR includes the follow behavioral change:
Handshakes contribute to circuit breaking, but cannot be broken. They
currently do not contribute nor are they broken.
This removes pipeline aggregators from the aggregation result tree
except for a single field used for backwards compatibility with pre-7.8
versions of Elasticsearch. That field isn't populated unless we are
serializing to pre-7.8 Elasticsearch. So, good news! We no longer build
pipeline aggregators on the data node. Most of the time.
Some field name constants were not updaten when we moved from "string" to "text"
and "keyword" fields. Renaming them makes it easier and faster to know which
field type is used in test subclassing this base test case.
Removes pipeline aggregations from the aggregation result tree as they
are no longer used. This stops us from building the pipeline aggregators
at all on data nodes except for backwards compatibility serialization.
This will save a tiny bit of space in the aggregation tree which is
lovely, but the biggest benefit is that it is a step towards simplifying
pipeline aggregators.
This only does about half of the work to remove the pipeline aggs from
the tree. Removing all of it would, well, double the size of the change
and make it harder to review.
* Refactor nodes stats request builders to match requests (#54363)
* Remove hard-coded setters from NodesInfoRequestBuilder
* Remove hard-coded setters from NodesStatsRequest
* Use static imports to reduce clutter
* Remove uses of old info APIs
Refactor SearchHit to have separate document and meta fields.
This is a part of bigger refactoring of issue #24422 to remove
dependency on MapperService to check if a field is metafield.
Relates to PR: #38373
Relates to issue #24422
Co-authored-by: sandmannn <bohdanpukalskyi@gmail.com>
This is a simple naming change PR, to fix the fact that "metadata" is a
single English word, and for too long we have not followed general
naming conventions for it. We are also not consistent about it, for
example, METADATA instead of META_DATA if we were trying to be
consistent with MetaData (although METADATA is correct when considered
in the context of "metadata"). This was a simple find and replace across
the code base, only taking a few minutes to fix this naming issue
forever.
* Comprehensively test supported/unsupported field type:agg combinations (#52493)
This adds a test to AggregatorTestCase that allows us to programmatically
verify that an aggregator supports or does not support a particular
field type. It fetches the list of registered field type parsers,
creates a MappedFieldType from the parser and then attempts to run
a basic agg against the field.
A supplied list of supported VSTypes are then compared against the
output (success or exception) and suceeds or fails the test accordingly.
Co-Authored-By: Mark Tozzi <mark.tozzi@gmail.com>
* Skip fields that are not aggregatable
* Use newIndexSearcher() to avoid incompatible readers (#52723)
Lucene's `newSearcher()` can generate readers like ParallelCompositeReader
which we can't use. We need to instead use our helper `newIndexSearcher`
After commit #53661 converted the lang-expressions module to using
DoubleValuesSource, we've seen a performance regression for expressions
that use geopoints. Some investigation suggests that this may be due to
GeoLatitudeValueSource and GeoLongitudeValueSource wrapping their
per-document values in a DoubleValues.withDefault() class. Values exposed
via expressions already have a '0' default value, so this extra wrapping is
unnecessary, and is directly on the hot path. This commit removes the extra
wrapping.
Pipeline aggregations like `stats_bucket`, `sum_bucket`, and
`percentiles_bucket` only operate on buckets that have multiple buckets.
This adds support for those aggregations to `geo_distance`, `ip_range`,
`auto_date_histogram`, and `rare_terms`.
This all happened because we used a marker interface to mark compatible
aggs, `MultiBucketAggregationBuilder` and it was fairly easy to forget
to implement the interface.
This replaces the marker interface with an abstract method in
`AggregationBuilder`, `bucketCardinality` which makes you return `NONE`,
`ONE`, or `MANY`. The `bucket` aggregations can check for `MANY`. At
this point `ONE` and `NONE` amount to about the same thing, but I
suspect that'll be a useful distinction when validating bucket sorts.
Closes#53215
Currently all of our transport protocol decoding and aggregation occurs
in the individual transport modules. This means that each implementation
(test, netty, nio) must implement this logic. Additionally, it means
that the entire message has been read from the network before the server
package receives it.
This commit creates a pipeline in server which can be passed arbitrary
bytes to handle. Internally, the pipeline will decode, decompress, and
aggregate the messages. Additionally, this allows us to run many
megabytes of bytes through the pipeline in tests to ensure that the
logic works.
This work will enable future work:
Circuit breaking or backoff logic based on message type and byte
in the content aggregator.
Sharing bytes with the application layer using the ref counted
releasable network bytes.
Improved network monitoring based specifically on channels.
Finally, this fixes the bug where we do not circuit break on the correct
message size when compression is enabled.
Elasticsearch has a number of different BytesReference implementations.
These implementations can all implement the interface in different ways
with subtly different behavior and performance characteristics. On the
other-hand, the JVM only represents bytes as an array or a direct byte
buffer. This commit deletes the specialized Netty implementations and
moves to using a generic ByteBuffer reference type. This will allow us
to focus on standardizing performance and behave around a smaller number
of implementations that can be used by all components in Elasticsearch.
Reindex would use timeValueNanos(System.nanoTime()). The intended use
for TimeValue is as a duration, not as absolute time. In particular,
this could result in negative TimeValue's, being unsupported in #53913.
Modified to use the bare long nano-second value.
DoubleValuesSource is the type-safe replacement for ValueSource in the lucene
core. Most of elasticsearch has moved to use these, but lang-expressions is still
using the old version. This commit migrates lang-expressions as well.
It's simple to deprecate a field used in an ObjectParser just by adding deprecation
markers to the relevant ParseField objects. The warnings themselves don't currently
have any context - they simply say that a deprecated field has been used, but not
where in the input xcontent it appears. This commit adds the parent object parser
name and XContentLocation to these deprecation messages.
Note that the context is automatically stripped from warning messages when they
are asserted on by integration tests and REST tests, because randomization of
xcontent type during these tests means that the XContentLocation is not constant
This commit, built on top of #51708, allows to modify shard search requests based on informations collected on other shards. It is intended to speed up sorted queries on time-based indices. For queries that are only interested in the top documents.
This change will rewrite the shard queries to match none if the bottom sort value computed in prior shards is better than all values in the shard.
For queries that mix top documents and aggregations this change will reset the size of the top documents to 0 instead of rewriting to match none.
This means that we don't need to keep a search context open for this shard since we know in advance that it doesn't contain any competitive hit.
The highlighting phase for percolator queries currently uses some custom query
traversal logic to find all instances of PercolatorQuery in the query tree for the
current search context. This commit converts things to instead use a QueryVisitor,
which future-proofs us against new wrapper queries or queries from custom
plugins that the percolator module doesn't know about.
Re-applies the change from #53523 along with test fixes.
closes#53626closes#53624closes#53622closes#53625
Co-authored-by: Nik Everett <nik9000@gmail.com>
Co-authored-by: Lee Hinman <dakrone@users.noreply.github.com>
Co-authored-by: Jake Landis <jake.landis@elastic.co>
This begins to clean up how `PipelineAggregator`s and executed.
Previously, we would create the `PipelineAggregator`s on the data nodes
and embed them in the aggregation tree. When it came time to execute the
pipeline aggregation we'd use the `PipelineAggregator`s that were on the
first shard's results. This is inefficient because:
1. The data node needs to make the `PipelineAggregator` only to
serialize it and then throw it away.
2. The coordinating node needs to deserialize all of the
`PipelineAggregator`s even though it only needs one of them.
3. You end up with many `PipelineAggregator` instances when you only
really *need* one per pipeline.
4. `PipelineAggregator` needs to implement serialization.
This begins to undo these by building the `PipelineAggregator`s directly
on the coordinating node and using those instead of the
`PipelineAggregator`s in the aggregtion tree. In a follow up change
we'll stop serializing the `PipelineAggregator`s to node versions that
support this behavior. And, one day, we'll be able to remove
`PipelineAggregator` from the aggregation result tree entirely.
Importantly, this doesn't change how pipeline aggregations are declared
or parsed or requested. They are still part of the `AggregationBuilder`
tree because *that* makes sense.
When 'rest_track_total_hits_as_int' is set to true, the total hits count in the response should be accurate. So we should set trackTotalHits to true if need when parsing the inline script of a search template request.
Closes#52801
This commit upgrades the jackson-databind depdendency to
2.8.11.6. Additionally, we revert a previous change that put
ingest-geoip on the version of jackson-databind from the version
properties file. This is because upgrading ingest-geoip to a later
version of jackson-databind also requires an upgrade to the geoip2
dependency which is currently blocked. Therefore, if we can get to a
point where we otherwise upgrade our Jackson dependencies, we do not
want ingest-geoip to automatically come along with it.
Lucene 8.5.0 release candidates are imminent. This commit upgrades master to use
the latest snapshot to check that there are no last-minute bugs or regressions.
This commit introduces a module for Kibana that exposes REST APIs that
will be used by Kibana for access to its system indices. These APIs are wrapped
versions of the existing REST endpoints. A new setting is also introduced since
the Kibana system indices' names are allowed to be changed by a user in case
multiple instances of Kibana use the same instance of Elasticsearch.
Additionally, the ThreadContext has been extended to indicate that the use of
system indices may be allowed in a request. This will be built upon in the future
for the protection of system indices.
Backport of #52385
ObjectParser allows you to declare a set of required fields, such that at least one
of the set must appear in an xcontent object for it to be valid. This commit adds
the similar concept of a set of exclusive fields, such that at most one of the set
must be present. It also enables required fields on ConstructingObjectParser, and
re-implements PercolateQueryBuilder.fromXContent() to use object parsing as
an example of how this works.
This change adds the recall@k metric and refactors precision@k to match
the new metric.
Recall@k is an important metric to use for learning to rank (LTR)
use-cases. Candidate generation or first ranking phase ranking functions
are often optimized for high recall, in order to generate as many
relevant candidates in the top-k as possible for a second phase of
ranking. Adding this metric allows tuning that base query for LTR.
See: https://github.com/elastic/elasticsearch/issues/51676
Backports: https://github.com/elastic/elasticsearch/pull/52577
Generalize how queries on `_index` are handled at rewrite time (#52486)
Since this change refactors rewrites, I also took it as an opportunity to adrress #49254: instead of returning the same queries you would get on a keyword field when a field is unmapped, queries get rewritten to a MatchNoDocsQueryBuilder.
This change exposed a couple bugs, like the fact that the percolator doesn't rewrite queries at query time, or that the significant_terms aggregation doesn't rewrite its inner filter, which I fixed.
Closes#49254
Commit #52748 fixed a bug where percolate queries wrapped in a constant score
could report incorrect matches. This commit adds a test to check that it also fixes
the case where a percolate query is sorted by something other than score.
Closes#52618
Lucene's RAMDirectory has been deprecated. This commit replaces all uses of
RAMDirectory in elasticsearch with the newer ByteBuffersDirectory. Most uses
are in tests, but the percolator and painless executor may get some small speedups.
The block setup by the test could be released by the nodes cluster info
thread before the disk threshold decider was disabled, now disable
decider first.
Currently, date ranges queries using NOW-based date math are rewritten to
MatchAllDocs queries when being preprocessed for the percolator. However,
since we added the verification step, this can result in incorrect matches when
percolator queries are run without scores. This commit changes things to instead
wrap date queries that use NOW with a new DateRangeIncludingNowQuery.
This is a simple wrapper query that returns its delegate at rewrite time, but it can
be detected by the percolator QueryAnalyzer and be dealt with accordingly.
This also allows us to remove a method on QueryRewriteContext, and push all
logic relating to NOW-based ranges into the DateFieldMapper.
Fixes#52617
Before boost in script_score query was wrongly applied only to the subquery.
This commit makes sure that the boost is applied to the whole score
that comes out of script.
Closes#48465
We consider index level read_only_allow_delete blocks temporary since
the DiskThresholdMonitor can automatically release those when an index
is no longer allocated on nodes above high threshold.
The rest status has therefore been changed to 429 when encountering this
index block to signal retryability to clients.
Related to #49393
This commit modifies the codebase so that our production code uses a
single instance of the IndexNameExpressionResolver class. This change
is being made in preparation for allowing name expression resolution
to be augmented by a plugin.
In order to remove some instances of IndexNameExpressionResolver, the
single instance is added as a parameter of Plugin#createComponents and
PersistentTaskPlugin#getPersistentTasksExecutor.
Backport of #52596
Backport of #52542.
This commit is part of issue #40366 to remove disabled Xlint warnings
from gradle files. In particular, it removes the Xlint exclusions from
the following files:
- benchmarks/build.gradle
- client/client-benchmark-noop-api-plugin/build.gradle
- x-pack/qa/rolling-upgrade/build.gradle
- x-pack/qa/third-party/active-directory/build.gradle
- modules/transport-netty4/build.gradle
For the first three files no code adjustments were needed. For
x-pack/qa/third-party/active-directory move the suppression at the code
level. For transport-netty4 replace the variable arguments with
ArrayLists and remove any redundant casts.
The `top_metrics` agg is kind of like `top_hits` but it only works on
doc values so it *should* be faster.
At this point it is fairly limited in that it only supports a single,
numeric sort and a single, numeric metric. And it only fetches the "very
topest" document worth of metric. We plan to support returning a
configurable number of top metrics, requesting more than one metric and
more than one sort. And, eventually, non-numeric sorts and metrics. The
trick is doing those things fairly efficiently.
Co-Authored by: Zachary Tong <zach@elastic.co>
Add a new cluster setting `search.allow_expensive_queries` which by
default is `true`. If set to `false`, certain queries that have
usually slow performance cannot be executed and an error message
is returned.
- Queries that need to do linear scans to identify matches:
- Script queries
- Queries that have a high up-front cost:
- Fuzzy queries
- Regexp queries
- Prefix queries (without index_prefixes enabled
- Wildcard queries
- Range queries on text and keyword fields
- Joining queries
- HasParent queries
- HasChild queries
- ParentId queries
- Nested queries
- Queries on deprecated 6.x geo shapes (using PrefixTree implementation)
- Queries that may have a high per-document cost:
- Script score queries
- Percolate queries
Closes: #29050
(cherry picked from commit a8b39ed842c7770bd9275958c9f747502fd9a3ea)
This commit changes how RestHandlers are registered with the
RestController so that a RestHandler no longer needs to register itself
with the RestController. Instead the RestHandler interface has new
methods which when called provide information about the routes
(method and path combinations) that are handled by the handler
including any deprecated and/or replaced combinations.
This change also makes the publication of RestHandlers safe since they
no longer publish a reference to themselves within their constructors.
Closes#51622
Co-authored-by: Jason Tedor <jason@tedor.me>
Backport of #51950
Now that the FIPS 140 security provider is simply a test dependency
we don't need the thirdPartyAudit exceptions, but plugin-cli and
transport-netty4 do need jarHell disabled as they use the non fips
BouncyCastle security provider as a test dependency too.
* Improve Painless compilation performance for nested conditionals (#52056)
This PR changes how conditional expression is handled in `PainlessParser`
in a way that avoids the need for backtracking, which led to exponential
compilation times in case of nested conditionals.
The test was added ensures that we can compile deeply nested conditionals.
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
* Fix Map.of in Java8
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
This change fixes flakiness in `CsvProcessorTests` where source field
can be the same as one of the headers used by tests which messes up
asserts when we check that field is not present after processor run.
Closes#50209
* Add empty_value parameter to CSV processor
This change adds `empty_value` parameter to the CSV processor.
This value is used to fill empty fields. Fields will be skipped
if this parameter is ommited. This behavior is the same for both
quoted and unquoted fields.
* docs updated
* Fix compilation problem
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
when a timezone is not provided Ingest logic should consider a time to be in a timezone provided as a parameter.
When a timezone is provided Ingest should recalculate a time to the timezone provided as a parameter
closes#51108
backport(#51215)
While we use `== false` as a more visible form of boolean negation
(instead of `!`), the true case is implied and the true value does not
need to explicitly checked. This commit converts cases that have slipped
into the code checking for `== true`.
rest-api-spec/test/10_basic.yml would check that transport_types is
`netty4` but we run FIPS 140 tests with default distribution and
transport_types is `security4`
This commit deprecates the creation of dot-prefixed index names (e.g.
.watches) unless they are either 1) a hidden index, or 2) registered by
a plugin that extends SystemIndexPlugin. This is the first step
towards more thorough protections for system indices.
This commit also modifies several plugins which use dot-prefixed indices
to register indices they own as system indices, and adds a plugin to
register .tasks as a system index.
We still test remote reindex against version 0.90. This failed on mac a
few times and rather than spend time investigating this, we no longer
test remote reindex against 0.90 on mac.
Closes#51202
This change changes the way to run our test suites in
JVMs configured in FIPS 140 approved mode. It does so by:
- Configuring any given runtime Java in FIPS mode with the bundled
policy and security properties files, setting the system
properties java.security.properties and java.security.policy
with the == operator that overrides the default JVM properties
and policy.
- When runtime java is 11 and higher, using BouncyCastle FIPS
Cryptographic provider and BCJSSE in FIPS mode. These are
used as testRuntime dependencies for unit
tests and internal clusters, and copied (relevant jars)
explicitly to the lib directory for testclusters used in REST tests
- When runtime java is 8, using BouncyCastle FIPS
Cryptographic provider and SunJSSE in FIPS mode.
Running the tests in FIPS 140 approved mode doesn't require an
additional configuration either in CI workers or locally and is
controlled by specifying -Dtests.fips.enabled=true
* Refactor ForEachProcessor to use iteration instead of recursion (#51104)
* Refactor ForEachProcessor to use iteration instead of recursion
This change makes ForEachProcessor iterative and still non-blocking.
In case of non-async processors we use single for loop and no recursion at all.
In case of async processors we continue work on either current thread or thread
started by downstream processor, whichever is slower (usually processor thread).
Everything is synchronised by single atomic variable.
Relates #50514
* Update IngestCommonPlugin.java
Add the character position of a scripting error to error responses.
The contents of the `position` field are experimental and subject to
change. Currently, `offset` refers to the character location where the
error was encountered, `start` and `end` define a range of characters
that contain the error.
eg.
```
{
"error": {
"root_cause": [
{
"type": "script_exception",
"reason": "runtime error",
"script_stack": [
"y = x;",
" ^---- HERE"
],
"script": "def x = new ArrayList(); Map y = x;",
"lang": "painless",
"position": {
"offset": 33,
"start": 29,
"end": 35
}
}
```
Refs: #50993
This replaces the message we return for unknown queries with the standard
one that we use for unknown fields from `ObjectParser`. This is nice
because it includes "did you mean". One day we might convert parsing
queries to using object parser, but that looks complex. This change is
much smaller and seems useful.
The PreConfiguredTokenFilter#singletonWithVersion uses the version
internally for the token filter factories but it registers only one
instance in the cache and not one instance per version. This can lead
to exceptions like the one described in #50734 since the singleton is
created and cached using the version created of the first index
that is processed.
Remove the singletonWithVersion() methods and use the
elasticsearchVersion() methods instead.
Fixes: #50734
(cherry picked from commit 24e1858)
Backport: #50467
This commit adds the name of the current pipeline to ingest metadata.
This pipeline name is accessible under the following key: '_ingest.pipeline'.
Example usage in pipeline:
PUT /_ingest/pipeline/2
{
"processors": [
{
"set": {
"field": "pipeline_name",
"value": "{{_ingest.pipeline}}"
}
}
]
}
Closes#42106
Check it out:
```
$ curl -u elastic:password -HContent-Type:application/json -XPOST localhost:9200/test/_update/foo?pretty -d'{
"dac": {}
}'
{
"error" : {
"root_cause" : [
{
"type" : "x_content_parse_exception",
"reason" : "[2:3] [UpdateRequest] unknown field [dac] did you mean [doc]?"
}
],
"type" : "x_content_parse_exception",
"reason" : "[2:3] [UpdateRequest] unknown field [dac] did you mean [doc]?"
},
"status" : 400
}
```
The tricky thing about implementing this is that x-content doesn't
depend on Lucene. So this works by creating an extension point for the
error message using SPI. Elasticsearch's server module provides the
"spell checking" implementation.
s
We deprecated and removed the camel-case versions of the nGram and edgeNGram
filters a while ago and we should do the same with the nGram and edgeNGram tokenizers.
This PR deprecates the use of these names in favour of ngram and edge_ngram in
7. Usage will be disallowed on new indices starting with 8 then.
Generally speaking, deprecated analysis components in elasticsearch will issue deprecation
warnings when they are first used. However, this means that no warnings are emitted when
indexes are created with deprecated components, and users have to actually index a document
to see warnings. This makes it much harder to see these warnings and act on them at
appropriate times.
This is worse in the case where components throw exceptions on upgrade. In this case, users
will not be aware of a problem until a document is indexed, instead of at index creation time.
This commit adds a new check that pushes an empty string through all user-defined analyzers
and normalizers when an IndexAnalyzers object is built for each index; deprecation warnings
and exceptions are now emitted when indexes are created or opened.
Fixes#42349
A very large number of recursive calls can cause a stack overflow
exception. This commit forks the recursive calls for non-async
processors. Once forked, each thread will handle at most 10
recursive calls to help keep the stack size and thread count
down to a reasonable size.
Currently, if an updateable synonym filter is included in a multiplexer filter,
it is not reloaded via the _reload_search_analyzers because the multiplexer
itself doesn't pass on the analysis mode of the filters it contains, so its not
recognized as "updateable" in itself. Instead we can check and merge the
AnalysisMode settings of all filters in the multiplexer and use the resulting
mode (e.g. search-time only) for the multiplexer itself, thus making any synonym
filters contained in it reloadable. This, of course, will also make the
analyzers using the multiplexer be usable at search-time only.
Closes#50554
ElasticsearchException.guessRootCauses would return wrapper exception if
inner exception was not an ElasticsearchException. Fixed to never return
wrapper exceptions.
At least following APIs change root_cause.0.type as a result:
_update with bad script
_index with bad pipeline
Relates #50417
This PR adds per-field metadata that can be set in the mappings and is later
returned by the field capabilities API. This metadata is completely opaque to
Elasticsearch but may be used by tools that index data in Elasticsearch to
communicate metadata about fields with tools that then search this data. A
typical example that has been requested in the past is the ability to attach
a unit to a numeric field.
In order to not bloat the cluster state, Elasticsearch requires that this
metadata be small:
- keys can't be longer than 20 chars,
- values can only be numbers or strings of no more than 50 chars - no inner
arrays or objects,
- the metadata can't have more than 5 keys in total.
Given that metadata is opaque to Elasticsearch, field capabilities don't try to
do anything smart when merging metadata about multiple indices, the union of
all field metadatas is returned.
Here is how the meta might look like in mappings:
```json
{
"properties": {
"latency": {
"type": "long",
"meta": {
"unit": "ms"
}
}
}
}
```
And then in the field capabilities response:
```json
{
"latency": {
"long": {
"searchable": true,
"aggreggatable": true,
"meta": {
"unit": [ "ms" ]
}
}
}
}
```
When there are no conflicts, values are arrays of size 1, but when there are
conflicts, Elasticsearch includes all unique values in this array, without
giving ways to know which index has which metadata value:
```json
{
"latency": {
"long": {
"searchable": true,
"aggreggatable": true,
"meta": {
"unit": [ "ms", "ns" ]
}
}
}
}
```
Closes#33267
In order to ensure that logstash and Elasticsearch are able to understand
the same patterns, this commit adapts to changes in logstash, adds a few
patterns and changes a few.
When there several subqueries on different relations of the join field,
and only one of subqueries is using inner_hits, NPE occurs.
This PR prevents NPE error.
Closes#50539
With the rewrite of the percolator's QueryAnalyzer to use lucene's QueryVisitor API,
term queries that are direct children of a boolean query are handled separately from
other children. This works fine for conjunctions, but for disjunctions we need to
treat the extracted terms from these direct descendents along with extractions from
more deeply nested children to ensure that minimum-should-match requirements
are met correctly.
This commit changes the logic in QueryAnalyzer#getResult() to bundle child term
results with all other results before handling them.
Fixes#50305
*Most* of our parsing can be done without passing any extra context into
the parser that isn't already part of the xcontent stream. While I was
looking around at the places that *do* need a context I found a few
places that were declared to need a context but don't actually need it.
We have about 800 `ObjectParsers` in Elasticsearch, about 700 of which
are final. This is *probably* the right way to declare them because in
practice we never mutate them after they are built. And we certainly
don't change the static reference. Anyway, this adds `final` to these
parsers.
I found the non-final parsers with this:
```
diff \
<(find . -type f -name '*.java' -exec grep -iHe 'static.*PARSER\s*=' {} \+ | sort) \
<(find . -type f -name '*.java' -exec grep -iHe 'static.*final.*PARSER\s*=' {} \+ | sort) \
2>&1 | grep '^<'
```
We have about 800 `ObjectParsers` in Elasticsearch, about 700 of which
are final. This is *probably* the right way to declare them because in
practice we never mutate them after they are built. And we certainly
don't change the static reference. Anyway, this adds `final` to a bunch
of these parsers, mostly the ones in xpack and their "paired" parsers in
the high level rest client. I picked these just to have somewhere to
break the up the change so it wouldn't be huge.
I found the non-final parsers with this:
```
diff \
<(find . -type f -name '*.java' -exec grep -iHe 'static.*PARSER\s*=' {} \+ | sort) \
<(find . -type f -name '*.java' -exec grep -iHe 'static.*final.*PARSER\s*=' {} \+ | sort) \
2>&1 | grep '^<'
```
The camel-case `nGram` and `edgeNGram` filter names were deprecated in 6. We
currently throw errors on new indices when they are used. However these errors
are currently only thrown for pre-configured filters, adding them as custom
filters doesn't trigger the warning and error. This change adds the appropriate
deprecation warnings for `nGram` and `edgeNGram` respectively on version 7
indices.
Relates #50360
Avoid backwards incompatible changes for 8.x and 7.6 by removing type
restriction on compile and Factory. Factories may optionally implement
ScriptFactory. If so, then they can indicate determinism and thus
cacheability.
**Backport**
Relates: #49466
Cache results from queries that use scripts if they use only
deterministic API calls. Nondeterministic API calls are marked in the
whitelist with the `@nondeterministic` annotation. Examples are
`Math.random()` and `new Date()`.
Refs: #49466
There's flakiness in CsvProcesorTests, where tests fail if random document generator add field that should not be present. This change cleans generated document from these problematic fields.
Closes#50209
* Remove Unused Single Delete in BlobStoreRepository
There are no more production uses of the non-bulk delete or the delete that throws
on missing so this commit removes both these methods.
Only the bulk delete logic remains. Where the bulk delete was derived from single deletes,
the single delete code was inlined into the bulk delete method.
Where single delete was used in tests it was replaced by bulk deleting.
* CSV ingest processor (#49509)
This change adds new ingest processor that breaks line from CSV file into separate fields.
By default it conforms to RFC 4180 but can be tweaked.
Closes#49113
This makes two changes to the catch node:
1. Use SDeclaration to replace independent variable usage.
2. Use a DType to set a "minimum" exception type - this allows us to require
users to continue using Exception as "minimum" type for catch blocks, but
for us to internally catch Error/Throwable. This is a required step to
removing custom try/catch blocks from SClass.
When the query analyzer examines a conjunction containing both terms and ranges,
it should only include ranges in the minimum_should_match calculation if there are no
other range queries on that same field within the conjunction. This is because we cannot
build a selection query over disjoint ranges on the same field, and it is not easy to check
if two range queries have an overlap.
The current logic to calculate this just sets minimum_should_match to 1 or 0, dependent
on whether or not the current range is over a field that has already been seen. However, this
can be incorrect in the case that there are terms in the same match group which adjust the
minimum_should_match downwards. Instead, the logic should be changed to match the
terms extraction, whereby we adjust minimum_should_match downwards if we have already
seen a range field.
Fixes#49684
* Allow list of IPs in geoip ingest processor
This change lets you use array of IPs in addition to string in geoip processor source field.
It will set array containing geoip data for each element in source, unless first_only parameter
option is enabled, then only first found will be returned.
Closes#46193
In order to cache script results in the query shard cache, we need to
check if scripts are deterministic. This change adds a default method
to the script factories, `isResultDeterministic() -> false` which is
used by the `QueryShardContext`.
Script results were never cached and that does not change here. Future
changes will implement this method based on whether the results of the
scripts are deterministic or not and therefore cacheable.
Refs: #49466
**Backport**
Moved the deprecation warning to ReindexValidator to ensure it runs
early and works with resilient reindex. Also check that the warning
is reported back for wait_for_completion=false.
Follow-up to #49458
This PR adds 3 nodes to handle types defined by a front-end creating a
Painless AST. These types are decided with data immutability in mind -
hence the reason for more than a single node.
Historically only two things happened in the final reduction:
empty buckets were filled, and pipeline aggs were reduced (since it
was the final reduction, this was safe). Usage of the final reduction
is growing however. Auto-date-histo might need to perform
many reductions on final-reduce to merge down buckets, CCS
may need to side-step the final reduction if sending to a
different cluster, etc
Having pipelines generate their output in the final reduce was
convenient, but is becoming increasingly difficult to manage
as the rest of the agg framework advances.
This commit decouples pipeline aggs from the final reduction by
introducing a new "top level" reduce, which should be called
at the beginning of the reduce cycle (e.g. from the SearchPhaseController).
This will only reduce pipeline aggs on the final reduce after
the non-pipeline agg tree has been fully reduced.
By separating pipeline reduction into their own set of methods,
aggregations are free to use the final reduction for whatever
purpose without worrying about generating pipeline results
which are non-reducible
This cleans up two minor things.
- Cleans up style of == false
- Pulls maxLoopCounter into a member variable instead of accessing
CompilerSettings multiple times in the SFunction node
Adds `GET /_script_language` to support Kibana dynamic scripting
language selection.
Response contains whether `inline` and/or `stored` scripts are
enabled as determined by the `script.allowed_types` settings.
For each scripting language registered, such as `painless`,
`expression`, `mustache` or custom, available contexts for the language
are included as determined by the `script.allowed_contexts` setting.
Response format:
```
{
"types_allowed": [
"inline",
"stored"
],
"language_contexts": [
{
"language": "expression",
"contexts": [
"aggregation_selector",
"aggs"
...
]
},
{
"language": "painless",
"contexts": [
"aggregation_selector",
"aggs",
"aggs_combine",
...
]
}
...
]
}
```
Fixes: #49463
**Backport**
This removes the storeSettings pass where nodes in the AST could store
information they needed out of CompilerSettings for use during later
passes. CompilerSettings is part of ScriptRoot which is available during the
analysis pass making the storeSettings pass redundant.
* Stop Allocating Buffers in CopyBytesSocketChannel (#49825)
The way things currently work, we read up to 1M from the channel
and then potentially force all of it into the `ByteBuf` passed
by Netty. Since that `ByteBuf` tends to by default be `64k` in size,
large reads will force the buffer to grow, completely circumventing
the logic of `allocHandle`.
This seems like it could break
`io.netty.channel.RecvByteBufAllocator.Handle#continueReading`
since that method for the fixed-size allocator does check
whether the last read was equal to the attempted read size.
So if we set `64k` because that's what the buffer size is,
then wirte `1M` to the buffer we will stop reading on the IO loop,
even though the channel may still have bytes that we can read right away.
More imporatantly though, this can lead to running OOM quite easily
under IO pressure as we are forcing the heap buffers passed to the read
to `reallocate`.
Closes#49699
* Copying the request is not necessary here. We can simply release it once the response has been generated and a lot of `Unpooled` allocations that way
* Relates #32228
* I think the issue that preventet that PR that PR from being merged was solved by #39634 that moved the bulk index marker search to ByteBuf bulk access so the composite buffer shouldn't require many additional bounds checks (I'd argue the bounds checks we add, we save when copying the composite buffer)
* I couldn't neccessarily reproduce much of a speedup from this change, but I could reproduce a very measureable reduction in GC time with e.g. Rally's PMC (4g heap node and bulk requests of size 5k saw a reduction in young GC time by ~10% for me)
When we are notifying systemd that we are fully started up, it can be
that we do not notify systemd before its default timeout of sixty
seconds elapses (e.g., if we are upgrading on-disk metadata). In this
case, we need to notify systemd to extend this timeout so that we are
not abruptly terminated. We do this by repeatedly sending
EXTEND_TIMEOUT_USEC to extend the timeout by thirty seconds; we do this
every fifteen seconds. This will prevent systemd from abruptly
terminating us during a long startup. We cancel the scheduled execution
of this notification after we have successfully started up.
Reindex sort never gave a guarantee about the order of documents being
indexed into the destination, though it could give a sense of locality
of source data.
It prevents us from doing resilient reindex and other optimizations and
it has therefore been deprecated.
Related to #47567
Reindex sort never gave a guarantee about the order of documents being
indexed into the destination, though it could give a sense of locality
of source data.
It prevents us from doing resilient reindex and other optimizations and
it has therefore been deprecated.
Related to #47567
* Make BlobStoreRepository Aware of ClusterState (#49639)
This is a preliminary to #49060.
It does not introduce any substantial behavior change to how the blob store repository
operates. What it does is to add all the infrastructure changes around passing the cluster service to the blob store, associated test changes and a best effort approach to tracking the latest repository generation on all nodes from cluster state updates. This brings a slight improvement to the consistency
by which non-master nodes (or master directly after a failover) will be able to determine the latest repository generation. It does not however do any tricky checks for the situation after a repository operation
(create, delete or cleanup) that could theoretically be used to get even greater accuracy to keep this change simple.
This change does not in any way alter the behavior of the blobstore repository other than adding a better "guess" for the value of the latest repo generation and is mainly intended to isolate the actual logical change to how the
repository operates in #49060
This change adds a dynamic cluster setting named `indices.id_field_data.enabled`.
When set to `false` any attempt to load the fielddata for the `_id` field will fail
with an exception. The default value in this change is set to `false` in order to prevent
fielddata usage on this field for future versions but it will be set to `true` when backporting
to 7x. When the setting is set to true (manually or by default in 7x) the loading will also issue
a deprecation warning since we want to disallow fielddata entirely when https://github.com/elastic/elasticsearch/issues/26472
is implemented.
Closes#43599
JavaDateFormatter should keep the pattern with the prefixed 8 as it will be used for serialisation. The stripped pattern should be used for the enclosed formatters.
closes#48698
Backport of #49076
In case an exception occurs inside a pipeline processor,
the pipeline stack is kept around as header in the exception.
Then in the on_failure processor the id of the pipeline the
exception occurred is made accessible via the `on_failure_pipeline`
ingest metadata.
Closes#44920
This commit enhances the required pipeline functionality by changing it
so that default/request pipelines can also be executed, but the required
pipeline is always executed last. This gives users the flexibility to
execute their own indexing pipelines, but also ensure that any required
pipelines are also executed. Since such pipelines are executed last, we
change the name of required pipelines to final pipelines.
The default merge cumulator used in netty transport leads to additional
GC pressure and memory copying when a message that exceeds the chunk
size is handled. This is especially a problem on G1 GC, since we get
many "humongous" allocations and that can in theory cause real memory
circuit breaker to break unnecessarily.
Fixed test case to more broadly accept all messages with "Partial
shards failure" in it, to hopefully catch all relevant search messages
now that reindex does not allow searching against red shards.
Closes#49295
This upgrades Painless to use the latest ASM libraries providing support up
to Java 14. Note the library is not published with the latest versions in an
"all" package, so we pick up each lib independently that's required. There
were some changes to the getType method that require descriptors to be
used in place of internal class names.
Currently the `token_chars` setting in both `edgeNGram` and `ngram` tokenizers
only allows for a list of predefined character classes, which might not fit
every use case. For example, including underscore "_" in a token would currently
require the `punctuation` class which comes with a lot of other characters.
This change adds an additional "custom" option to the `token_chars` setting,
which requires an additional `custom_token_chars` setting to be present and
which will be interpreted as a set of characters to inlcude into a token.
Closes#25894
Lucene now allows us to explore the structure of a query using QueryVisitors,
delegating the knowledge of how to recurse through and collect terms to the
query implementations themselves. The percolator currently has a home-grown
external version of this API to construct sets of matching terms that must be
present in a document in order for it to possibly match the query.
This commit removes the home-grown implementation in favour of one using
QueryVisitor. This has the added benefit of making interval queries available
for percolator pre-filtering. Due to a bug in multi-term intervals (LUCENE-9050)
it also includes a clone of some of the lucene intervals logic, that can be removed
once upstream has been fixed.
Closes#45639
This is a pure code rearrangement refactor. Logic for what specific ValuesSource instance to use for a given type (e.g. script or field) moved out of ValuesSourceConfig and into CoreValuesSourceType (previously just ValueSourceType; we extract an interface for future extensibility). ValueSourceConfig still selects which case to use, and then the ValuesSourceType instance knows how to construct the ValuesSource for that case.
Tasks intending to use a particular java home provided by JAVA<N>_HOME
use the getJavaHome method, which verifies the given java home is
available, or will be if the task will run. However, the verification
logic was broken, in addition to unnecessarily delaying retrieving the
java home until runtime. This commit fixes the verification logic to run
at either config time, delaying verification, or at runtime which
immediately checks if java home is available.
closes#49153
Reindex, update by query and delete by query would silently disregard
RED/unavailable shards, thus not copying, updating or deleting matching
data in those shards. Now use `allow_partial_search_results=false` to
ensure these operations fail if the search crosses an unavailable chard.
Added the option to explicitly specify `allow_partial_search_results=true`
for reindex only (seemed too strange for update/delete by query).
Relates #45739 and #42612
Today we wrap exceptions that occur while executing an ingest processor
in an ElasticsearchException. Today, in ExceptionsHelper#unwrapCause we
only unwrap causes for exceptions that implement
ElasticsearchWrapperException, which the top-level
ElasticsearchException does not. Ultimately, this means that any
exception that occurs during processor execution does not have its cause
unwrapped, and so its status is blanket treated as a 500. This means
that while executing a bulk request with an ingest pipeline,
document-level failures that occur during a processor will cause the
status for that document to be treated as 500. Since that does not give
the client any indication that they made a mistake, it means some
clients will enter infinite retries, thinking that there is some
server-side problem that merely needs to clear. This commit addresses
this by introducing a dedicated ingest processor exception, so that its
causes can be unwrapped. While we could consider a broader change to
unwrap causes for more than just ElasticsearchWrapperExceptions, that is
a broad change with unclear implications. Since the problem of reporting
500s on client errors is a user-facing bug, we take the conservative
approach for now, and we can revisit the unwrapping in a future change.
Backport of #48849. Update `.editorconfig` to make the Java settings the
default for all files, and then apply a 2-space indent to all `*.gradle`
files. Then reformat all the files.
Added test demonstrating that grok using ignore case works, since this
does a minimal test that the `joni` and `jcodings` libraries are
compatible.
Forward-port of test from #43334
The problem with wrapping here is that it converts any exception into an
IAE, which we treat as a client error (400 status) whereas the exception
being wrapped here could be a server error (e.g., NPE). This commit
stops wrapping all ingest processor exceptions as IAEs.
This commit introduces a consistent, and type-safe manner for handling
global build parameters through out our build logic. Primarily this
replaces the existing usages of extra properties with static accessors.
It also introduces and explicit API for initialization and mutation of
any such parameters, as well as better error handling for uninitialized
or eager access of parameter values.
Closes#42042
Previous behavior while copying HTTP headers to the ThreadContext,
would allow multiple HTTP headers with the same name, handling only
the first occurrence and disregarding the rest of the values. This
can be confusing when dealing with multiple Headers as it is not
obvious which value is read and which ones are silently dropped.
According to RFC-7230, a client must not send multiple header fields
with the same field name in a HTTP message, unless the entire field
value for this header is defined as a comma separated list or this
specific header is a well-known exception.
This commits changes the behavior in order to be more compliant to
the aforementioned RFC by requiring the classes that implement
ActionPlugin to declare if a header can be multi-valued or not when
registering this header to be copied over to the ThreadContext in
ActionPlugin#getRestHeaders.
If the header is allowed to be multivalued, then all such headers
are read from the HTTP request and their values get concatenated in
a comma-separated string.
If the header is not allowed to be multivalued, and the HTTP
request contains multiple such Headers with different values, the
request is rejected with a 400 status.
The 1MB IO-buffer size per transport thread is causing trouble in
some tests, albeit at a low rate. Reducing the number of transport
threads was not enough to fully fix this situation.
Allowing to configure the size of the buffer and reducing it by
more than an order of magnitude should fix these tests.
Closes#46803
Adding support for the `search_type` request parameter to the Ranking Evaluation
API since this parameter can impact the ranking and the metric score and should
be choosen in the same way when evaluating the search as later in the real
search.
Closes#48503
Backport of #48448. Make a number of changes so that code in the libs and
modules directories are more resilient to automatic formatting. This covers:
* Remove string concatenation where JSON fits on a single line
* Move some comments around to they aren't auto-formatted to a strange
place
BytesReference is currently an abstract class which is extended by
various implementations. This makes it very difficult to use the
delegation pattern. The implication of this is that our releasable
BytesReference is a PagedBytesReference type and cannot be used as a
generic releasable bytes reference that delegates to any reference type.
This commit makes BytesReference an interface and introduces an
AbstractBytesReference for common functionality.
This commit removes the randomization used by every execute call in the
high level rest tests. Previously every execute call, which can be many
calls per single test, would rely on a random boolean to determine if
they should use the sync or async methods provided to the execute
method. This commit runs the tests twice, using two different clusters,
both of them providing the value one time via a sysprop. This ensures
that the whole suite of tests is run using the sync and async code
paths.
Closes#39667
There is a watchdog in order to avoid long running (and expensive)
grok expressions. Currently the watchdog is thread based, threads
that run grok expressions are registered and after completion unregister.
If these threads stay registered for too long then the watch dog interrupts
these threads. Joni (the library that powers grok expressions) has a
mechanism that checks whether the current thread is interrupted and
if so abort the pattern matching.
Newer versions have an additional method to abort long running pattern
matching inside joni. Instead of checking the thread's interrupted flag,
joni now also checks a volatile field that can be set via a `Matcher`
instance. This is more efficient method for aborting long running matches.
(joni checks each 30k iterations whether interrupted flag is set vs.
just checking a volatile field)
Recently we upgraded to a recent joni version (#47374), and this PR
is a followup of that PR.
This change should also fix#43673, since it appears when unit tests
are ran the a test runner thread's interrupted flag may already have
been set, due to some thread reuse.
This commit removes a problematic assertion that the netty default
allocator is not used. This assertion is problematic because any other
test can cause this task to fail by touching the default allocator. We
assert that we are using heap buffers in the channel.
This commit removes the option to change the netty system properties to
reenable the direct buffer pooling. It also removes the need for us to
disable the buffer pooling in the system properties file. Instead, we
programmatically craete an allocator that is used by our networking
layer.
This commit does introduce an Elasticsearch property which allows the
user to fallback on the netty default allocator. If they choose this
option, they can configure the default allocator how they wish using the
standard netty properties.
Joda was using ResolverStyle.STRICT when parsing. This means that date will be validated to be a correct year, year-of-month, day-of-month
However, we also want to make it works with Year-Of-Era as Joda used to, hence custom temporalquery.localdate in DateFormatters.from
Within DateFormatters we use the correct uuuu year instead of yyyy year of era
worth noting: if yyyy(without an era) is used in code, the parsing result will be a TemporalAccessor which will fail to be converted into LocalDate. We mostly use DateFormatters.from so this takes care of this. If possible the uuuu format should be used.
Today built-in highlighter and plugins have access to the SearchContext through the
highlighter context. However most of the information exposed in the SearchContext are not needed and a QueryShardContext
would be enough to perform highlighting. This change replaces the SearchContext by the informations that are absolutely
required by highlighter: a QueryShardContext and the SearchContextHighlight. This change allows to reduce the exposure of the
complex SearchContext and remove the needs to clone it in the percolator sub phase.
Relates #47198
Relates #46523
This adds an SField node that operates similarly to SFunction as a top level
node meant only for use in an SClass node. Member fields are generated
for both class bindings and instance bindings using the new SField node
during the semantic pass, and information is no longer passed through
Globals for this during the write pass.
Currently there are two issues with serializing BulkByScrollResponse.
First, when deserializing from XContent, indexing exceptions and search
exceptions are switched. Additionally, search exceptions do no retain
the appropriate RestStatus code, so you must evaluate the status code
from the exception. However, the exception class is not always correctly
retained when serialized.
This commit adds tests in the failure case. Additionally, fixes the
swapping of failure types and adds the rest status code to the search
failure.
* Convert RunTask to use testclusers, remove ClusterFormationTasks
This PR adds a new RunTask and a way for it to start a
testclusters cluster out of band and block on it to replace
the old RunTask that used ClusterFormationTasks.
With this we can now remove ClusterFormationTasks.
This has ELambda and ENewArrayFunctionRef add their generated synthetic
methods to the SClass node during the semantic pass and removes this
data from the write pass. This is the first step to remove "Globals" (mutable
state) from the write pass.
This PR is to get plumbing in for a ScriptRoot class that will consolidate
several pieces of state required by potentially multiple passes including
PainlessLookup, CompilerSettings, FunctionTable, the root class node, and a
synthetic counter. It's possible more may be added to this as we move
forward and slowly make the the nodes have less mutable state.
While function scores using scripts do allow explanations, they are only
creatable with an expert plugin. This commit improves the situation for
the newer script score query by adding the ability to set the
explanation from the script itself.
To set the explanation, a user would check for `explanation != null` to
indicate an explanation is needed, and then call
`explanation.set("some description")`.
The rest high level client has a dependency on mapper-extras but the jar
is not published so this commit adds a client jar for this module.
Closes#47413
The passage formatter that the unified highlighter use doesn't handle terms with overlapping offsets.
For tokenizer that provides multiple segmentation of the same terms (edge ngram for instance) the formatter
should select the largest span in order to highlight the term only once. This change implements this logic.
Most of the information in AnalysisPredicateScript.Token is pulled directly
from its underlying AttributeSource, but we also keep track of the token position,
and this state is held directly on the Token. This information needs to be reset when
the containing ScriptFilteringTokenFilter or ScriptedConditionTokenFilter is re-used.
Fixes#47197
This moves the way Painless maintains function headers for use
across compilation into its own class - FunctionTable. This
allows us to store a dedicated object for function lookup at
runtime for the def type instead of a loose Map of functions.
Backport of #45794 to 7.x. Convert most `awaitBusy` calls to
`assertBusy`, and use asserts where possible. Follows on from #28548 by
@liketic.
There were a small number of places where it didn't make sense to me to
call `assertBusy`, so I kept the existing calls but renamed the method to
`waitUntil`. This was partly to better reflect its usage, and partly so
that anyone trying to add a new call to awaitBusy wouldn't be able to find
it.
I also didn't change the usage in `TransportStopRollupAction` as the
comments state that the local awaitBusy method is a temporary
copy-and-paste.
Other changes:
* Rework `waitForDocs` to scale its timeout. Instead of calling
`assertBusy` in a loop, work out a reasonable overall timeout and await
just once.
* Some tests failed after switching to `assertBusy` and had to be fixed.
* Correct the expect templates in AbstractUpgradeTestCase. The ES
Security team confirmed that they don't use templates any more, so
remove this from the expected templates. Also rewrite how the setup
code checks for templates, in order to give more information.
* Remove an expected ML template from XPackRestTestConstants The ML team
advised that the ML tests shouldn't be waiting for any
`.ml-notifications*` templates, since such checks should happen in the
production code instead.
* Also rework the template checking code in `XPackRestTestHelper` to give
more helpful failure messages.
* Fix issue in `DataFrameSurvivesUpgradeIT` when upgrading from < 7.4
This the first part of a series to allow nodes to write all of their appropriate
pieces to the class. Currently, nodes must add their bindings, constants, and
functions to main SClass node for delayed writing. This instead adds a
Painless version of ClassWriter to the write pass. The Painless ClassWriter
contains an appropriate ClassVisitor that can be accessed in any node
during the process along with access to the clinit method, and finally a
shortcut for creating new MethodWriter. The next step will be removing the
delayed writing in SClass, and instead, delegate all writing responsibilities to
the nodes.
This change improves the node structure of SFunction. SFunction now uses
an SBlock instead of a List of AStatments reducing code duplication and
gives a future target for symbol table scoping.
Alan Woodward
Nik Everett
Yannick Welsch
Jake Landis
Mayya Sharipova
Tanguy Leroux
Armin Braun
Mark Tozzi
Tomasz Elendt
Henning Andersen
Lee Hinman
Jack Conradson
markharwood
Andrei Balici
Tim Brooks
Ryan Ernst
Julie Tibshirani
Ignacio Vera
Mark Vieira
Jason Tedor
Nhat Nguyen
Martijn van Groningen
Dan Hermann
Igor Motov
Przemko Robakowski
Amit Khandelwal
Rory Hunter
Tal Levy
Zachary Tong
David Turner
William Brafford
Jay Modi
Christoph Büscher
Alan Woodward
Stuart Tettemer
Jim Ferenczi
bellengao
Josh Devins
Adrien Grand
Rory Hunter
Maria Ralli
Marios Trivyzas
Ignacio Vera
Ioannis Kakavas
Przemyslaw Gomulka
Gordon Brown
Alexander Reelsen
Henning Andersen
gpaimla
Yogesh Gaikwad
Michael Basnight
Alpar Torok