* Smarter copying of the rest specs and tests (#52114)
This PR addresses the unnecessary copying of the rest specs and allows
for better semantics for which specs and tests are copied. By default
the rest specs will get copied if the project applies
`elasticsearch.standalone-rest-test` or `esplugin` and the project
has rest tests or you configure the custom extension `restResources`.
This PR also removes the need for dozens of places where the x-pack
specs were copied by supporting copying of the x-pack rest specs too.
The plugin/task introduced here can also copy the rest tests to the
local project through a similar configuration.
The new plugin/task allows a user to minimize the surface area of
which rest specs are copied. Per project can be configured to include
only a subset of the specs (or tests). Configuring a project to only
copy the specs when actually needed should help with build cache hit
rates since we can better define what is actually in use.
However, project level optimizations for build cache hit rates are
not included with this PR.
Also, with this PR you can no longer use the includePackaged flag on
integTest task.
The following items are included in this PR:
* new plugin: `elasticsearch.rest-resources`
* new tasks: CopyRestApiTask and CopyRestTestsTask - performs the copy
* new extension 'restResources'
```
restResources {
restApi {
includeCore 'foo' , 'bar' //will include the core specs that start with foo and bar
includeXpack 'baz' //will include x-pack specs that start with baz
}
restTests {
includeCore 'foo', 'bar' //will include the core tests that start with foo and bar
includeXpack 'baz' //will include the x-pack tests that start with baz
}
}
```
XPackLicenseState reads to necessary to validate a number of cluster
operations. This reads occasionally occur on transport threads which
should not be blocked. Currently we sychronize when reading. However,
this is unecessary as only a single piece of state is updateable. This
commit makes this state volatile and removes the locking.
The existing wording in the file realm docs proved confusing
for users as it seemed to indicate that it should _only_ be
used as a fallback/recovery realm and that it is not a
first class realm.
This change attempts to clarify this and point out that recovery
is _a_ use case for the file realm but not the only intended one.
These tests didn't work properly when run against multi-shard indices.
The `_score` based sorting test expects fairly specific scores which
isn't going to happen with multiple shards so this disables multiple
shards for that test. The other tests were failing due to a fairly
sneaky race condition around `_bulk` and type inference. This fixes them
by always sending metric values as floating point numbers so
Elasticsearch always infers them to be doubles.
The sql-cli script sources x-pack-env, but it does so assuming the
current directory is ES_HOME. This commit alters the source command to
use ES_HOME which is available after running elasticsearch-env.
closes#47803
In #42838 we moved the terms index of all fields off-heap except the
`_id` field because we were worried it might make indexing slower. In
general, the indexing rate is only affected if explicit IDs are used, as
otherwise Elasticsearch almost never performs lookups in the terms
dictionary for the purpose of indexing. So it's quite wasteful to
require the terms index of `_id` to be loaded on-heap for users who have
append-only workloads. Furthermore I've been conducting benchmarks when
indexing with explicit ids on the http_logs dataset that suggest that
the slowdown is low enough that it's probably not worth forcing the terms
index to be kept on-heap. Here are some numbers for the median indexing
rate in docs/s:
| Run | Master | Patch |
| --- | ------- | ------- |
| 1 | 45851.2 | 46401.4 |
| 2 | 45192.6 | 44561.0 |
| 3 | 45635.2 | 44137.0 |
| 4 | 46435.0 | 44692.8 |
| 5 | 45829.0 | 44949.0 |
And now heap usage in MB for segments:
| Run | Master | Patch |
| --- | ------- | -------- |
| 1 | 41.1720 | 0.352083 |
| 2 | 45.1545 | 0.382534 |
| 3 | 41.7746 | 0.381285 |
| 4 | 45.3673 | 0.412737 |
| 5 | 45.4616 | 0.375063 |
Indexing rate decreased by 1.8% on average, while memory usage decreased
by more than 100x.
The `http_logs` dataset contains small documents and has a simple
indexing chain. More complex indexing chains, e.g. with more fields,
ingest pipelines, etc. would see an even lower decrease of indexing rate.
Add validation for the following logfile audit settings:
xpack.security.audit.logfile.events.include
xpack.security.audit.logfile.events.exclude
xpack.security.audit.logfile.events.ignore_filters.*.users
xpack.security.audit.logfile.events.ignore_filters.*.realms
xpack.security.audit.logfile.events.ignore_filters.*.roles
xpack.security.audit.logfile.events.ignore_filters.*.indices
Closes#52357
Relates #47711#47038
Follows the example from #47246
When a license expires, or license state changes, functionality might be
disabled. This commit adds messages for CCR to inform users that CCR
functionality will be disabled when a license expires, or when license
state changes to a license level lower than trial/platinum/enterprise.
This adds machine learning model feature importance calculations to the inference processor.
The new flag in the configuration matches the analytics parameter name: `num_top_feature_importance_values`
Example:
```
"inference": {
"field_mappings": {},
"model_id": "my_model",
"inference_config": {
"regression": {
"num_top_feature_importance_values": 3
}
}
}
```
This will write to the document as follows:
```
"inference" : {
"feature_importance" : {
"FlightTimeMin" : -76.90955548511226,
"FlightDelayType" : 114.13514762158526,
"DistanceMiles" : 13.731580450792187
},
"predicted_value" : 108.33165831875137,
"model_id" : "my_model"
}
```
This is done through calculating the [SHAP values](https://arxiv.org/abs/1802.03888).
It requires that models have populated `number_samples` for each tree node. This is not available to models that were created before 7.7.
Additionally, if the inference config is requesting feature_importance, and not all nodes have been upgraded yet, it will not allow the pipeline to be created. This is to safe-guard in a mixed-version environment where only some ingest nodes have been upgraded.
NOTE: the algorithm is a Java port of the one laid out in ml-cpp: https://github.com/elastic/ml-cpp/blob/master/lib/maths/CTreeShapFeatureImportance.cc
usability blocked by: https://github.com/elastic/ml-cpp/pull/991
This commit renames ElasticsearchAssertions#assertThrows to
assertRequestBuilderThrows and assertFutureThrows to avoid a
naming clash with JUnit 4.13+ and static imports of these methods.
Additionally, these methods have been updated to make use of
expectThrows internally to avoid duplicating the logic there.
Relates #51787
Backport of #52582
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
The top_metrics test assumed that it'd never end up *only* reducing
unmapped results. But, rarely, it does. This handles that case in the
test.
Closes#52462
* Make FreezeStep retryable
This change marks `FreezeStep` as retryable and adds test to make sure we can really run it again.
* refactor tests
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
* Refactor Inflexible Snapshot Repository BwC (#52365)
Transport the version to use for a snapshot instead of whether to use shard generations in the snapshots in progress entry. This allows making upcoming repository metadata changes in a flexible manner in an analogous way to how we handle serialization BwC elsewhere.
Also, exposing the version at the repository API level will make it easier to do BwC relevant changes in derived repositories like source only or encrypted.
Add enterprise operation mode to properly map enterprise license.
Aslo refactor XPackLicenstate class to consolidate license status and mode checks.
This class has many sychronised methods to check basically three things:
* Minimum operation mode required
* Whether security is enabled
* Whether current license needs to be active
Depends on the actual feature, either 1, 2 or all of above checks are performed.
These are now consolidated in to 3 helper methods (2 of them are new).
The synchronization is pushed down to the helper methods so actual checking
methods no longer need to worry about it.
resolves: #51081
When `PUT` is called to store a trained model, it is useful to return the newly create model config. But, it is NOT useful to return the inflated definition.
These definitions can be large and returning the inflated definition causes undo work on the server and client side.
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
This adds `_all` to Calendar searches. This enables users to supply the `_all` string in the `job_ids` array when creating a Calendar. That calendar will now be applied to all jobs (existing and newly created).
Closes#45013
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
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.
This commit updates the enrich.get_policy API to specify name
as a list, in line with other URL parts that accept a comma-separated
list of values.
In addition, update the get enrich policy API docs
to align the URL part name in the documentation with
the name used in the REST API specs.
(cherry picked from commit 94f6f946ef283dc93040e052b4676c5bc37f4bde)
* Make DeleteStep retryable
This change marks `DeleteStep` as retryable and adds test to make sure we really can invoke it again.
* Fix unused import
* revert unneeded changes
* test reworked
This commit adds more logging to the actions that the SLM retention task does. It will help in the
event that we need to diagnose any additional issues or problems while running retention.
This changes the tree validation code to ensure no node in the tree has a
feature index that is beyond the bounds of the feature_names array.
Specifically this handles the situation where the C++ emits a tree containing
a single node and an empty feature_names list. This is valid tree used to
centre the data in the ensemble but the validation code would reject this
as feature_names is empty. This meant a broken workflow as you cannot GET
the model and PUT it back
Currently we used the secure random number generate when generating http
request ids in the security AuditUtil. We do not need to be using this
level of randomness for this use case. Additionally, this random number
generator involves locking that blocks the http worker threads at high
concurrency loads.
This commit modifies this randomness generator to use our reproducible
randomness generator for Elasticsearch. This generator will fall back to
thread local random when used in production.
This is useful in cases where the caller of the API needs to know
the name of the realm that consumed the SAML Response and
authenticated the user and this is not self evident (i.e. because
there are many saml realms defined in ES).
Currently, the way to learn the realm name would be to make a
subsequent request to the `_authenticate` API.
When changing a job state using a mechanism that doesn't
wait for the desired state to be reached within the production
code the test code needs to loop until the cluster state has
been updated.
Closes#52451
Backport from #52179
Don't rely on the delete index api to resolve all the enrich indices for a particular enrich policy using a '[policy_name]-*' wildcard expression. With this change, the delete policy api will resolve the indices to remove and pass that directly to the delete index api.
This resolves a bug, that if `action.destructive_requires_name` setting has been set to true then the delete policy api is unable to remove the enrich indices related to the policy being deleted.
Closes#51228
Co-authored-by: bellengao <gbl_long@163.com>
audit messages are stored in the notifications index, so audit information is lost for integration
tests. This change forwards audit messages to logs, so they can help to debug issues.
relates: #51627
Following the change to store cluster state in Lucene indices
(#50907) it can take longer for all the cluster state updates
associated with node failure scenarios to be processed during
internal cluster tests where several nodes all run in the same
JVM.
Refactor the code to allow contextual parameterization of dateFormat and
name.
Separate aggs/query implementation though there's room for improvement
in the future
(cherry picked from commit e086f81b688875b33d01e4504ce7377031c8cf28)
The shard follow task cleaner executes on behalf of the user to clean up
a shard follow task after the follower index has been
deleted. Otherwise, these persistent tasks are left laying around, and
they fail to execute because the follower index has been deleted. In the
face of security, attempts to complete these persistent tasks would
fail. This is because these cleanups are executed under the system
context (this makes sense, they are happening on behalf of the user
after the user has executed an action) but the system role was never
granted the permission for persistent task completion. This commit
addresses this by adding this cluster privilege to the system role.
We marked the `init` ILM step as retryable but our test used `waitUntil`
without an assert so we didn’t catch the fact that we were not actually
able to retry this step as our ILM state didn’t contain any information
about the policy execution (as we were in the process of initialising
it).
This commit manually sets the current step to `init` when we’re moving
the ilm policy into the ERROR step (this enables us to successfully
move to the error step and later retry the step)
* ShrunkenIndexCheckStep: Use correct logger
(cherry picked from commit f78d4b3d91345a2a8fc0f48b90dd66c9959bd7ff)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
Translate to an agg query even if only literals are selected,
so that the correct number of rows is returned (number of buckets).
Fix issue with key only in GROUP BY (not in select) and WHERE clause:
Resolve aggregates and groupings based on the child plan which holds
the info info for all the fields of the underlying table.
Fixes: #41951Fixes: #41413
(cherry picked from commit 45b85809678b34a448639a420b97e25436ae851f)
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>
ML mappings and index templates have so far been created
programmatically. While this had its merits due to static typing,
there is consensus it would be clear to maintain those in json files.
In addition, we are going to adding ILM policies to these indices
and the component for a plugin to register ILM policies is
`IndexTemplateRegistry`. It expects the templates to be in resource
json files.
For the above reasons this commit refactors ML mappings and index
templates into json resource files that are registered via
`MlIndexTemplateRegistry`.
Backport of #51765
This commit makes the names of fetch subphases more consistent:
* Now the names end in just 'Phase', whereas before some ended in
'FetchSubPhase'. This matches the query subphases like AggregationPhase.
* Some names include 'fetch' like FetchScorePhase to avoid ambiguity about what
they do.
Ironically PreventFailingBuildIT.testSoThatTestsDoNotFail is causing failures
as documented in #52197. The no longer serves a purpose and can now be removed.
This is to support the ML categorization wizard.
Currently cluster:admin/analyze is only provided with the
"manage" cluster privilege, which is an excessive privilege
level to provide access to this single feature. It means
that the ML categorization wizard only works for extremely
highly privileged users.
Following this change the Kibana system user will be
permitted to run the _analyze endpoint on supplied strings
(not on an index). The ML UI will then call the _analyze
endpoint as the Kibana system user after first checking
that the logged-in user is permitted to create an ML job.
This will mean that users with the more reasonable
"manage_ml" cluster privilege will be permitted to use
the ML categorization wizard.
(This is also consistent with the way the ML UI will access
_all_ Elasticsearch functionality when the "ML in Spaces"
project is completed.)
Closes#51391
Relates elastic/kibana#57375
This adds a builder and parsed results for the `string_stats`
aggregation directly to the high level rest client. Without this the
HLRC can't access the `string_stats` API without the elastic licensed
`analytics` module.
While I'm in there this adds a few of our usual unit tests and
modernizes the parsing.
This commit removes the need for DeprecatedRoute and ReplacedRoute to
have an instance of a DeprecationLogger. Instead the RestController now
has a DeprecationLogger that will be used for all deprecated and
replaced route messages.
Relates #51950
Backport of #52278
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)
* Add more checks around parameter conversions
This commit adds two necessary verifications on received parameters:
- it checks the validity of the parameter's data type: if the declared
data type is resolved to an ES or Java type;
- it checks if the returned converter is non-null (i.e. a conversion is
possible) and generates an appropriate exception otherwise.
(cherry picked from commit eda30ac9c69383165324328c599ace39ac064342)
* Extract common optimizer tests (#52169)
(cherry picked from commit e5ad72bc22e9ec0686ab582195f0032efcb880bf)
* Hook in the optimizer rules (#52172)
(cherry picked from commit 1f90d8cc56052fbf2af604e72f9f5ca73f5e75d5)
Previously, in the in-memory sorting module
`LocalAggregationSorterListener` only the aggregate functions where used
(grabbed by the `sortingColumns`). As a consequence, if the ORDER BY
was also using columns of the GROUP BY clause, (especially in the case
of higher priority - before the aggregate functions) wrong results were
produced. E.g.:
```
SELECT gender, MAX(salary) AS max FROM test_emp
GROUP BY gender
ORDER BY gender, max
```
Add all columns of the ORDER BY to the `sortingColumns` so that the
`LocalAggregationSorterListener` can use the correct comparators in
the underlying PriorityQueue used to implement the in-memory sorting.
Fixes: #50355
(cherry picked from commit be680af11c823292c2d115bff01658f7b75abd76)
add a list of unsupported aggs in transforms and create a test that fails if a new aggregation is
added. Limitation: works only if a new agg is added to either the core or a known plugin
(Analytics, MatrixAggregation).
Jake Landis
Ioannis Kakavas
István Zoltán Szabó
David Kyle
Lisa Cawley
Florian Kelbert
Tim Brooks
Andrei Stefan
Costin Leau
Nik Everett
Aleksandr Maus
David Roberts
Mark Vieira
Ryan Ernst
Adrien Grand
Albert Zaharovits
Ignacio Vera
Martijn van Groningen
Yang Wang
Jason Tedor
Benjamin Trent
Jay Modi
Jack Conradson
Igor Motov
Hendrik Muhs
markharwood
Przemko Robakowski
Armin Braun
Przemysław Witek
Maria Ralli
Russ Cam
Lee Hinman
Henning Andersen
Nhat Nguyen
Andrei Dan
Hicham Mallah
Dimitris Athanasiou
Marios Trivyzas
Julie Tibshirani
Bogdan Pintea
James Rodewig