Today the shards of searchable snapshots are allocated with a naive
`ExistingShardsAllocator` which selects the first valid node for each shard.
Thanks to #54729 we can now allow these shards to fall through to the balanced
shards allocator so that they are allocated in a more balanced fashion.
Relates #50999
Guava was removed from Elasticsearch many years ago, but remnants of it
remain due to transitive dependencies. When a dependency pulls guava
into the compile classpath, devs can inadvertently begin using methods
from guava without realizing it. This commit moves guava to a runtime
dependency in the modules that it is needed.
Note that one special case is the html sanitizer in watcher. The third
party dep uses guava in the PolicyFactory class signature. However, only
calling a method on the PolicyFactory actually causes the class to be
loaded, a reference alone does not trigger compilation to look at the
class implementation. There we utilize a MethodHandle for invoking the
relevant method at runtime, where guava will continue to exist.
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 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.
This allows subclasses of `InternalAggregationTestCase` to make a `List`
of values to reduce so that it can make values that are realistic
*together*. The first use of this is with `InternalTTest` which uses it
to make results that don't cause their `sum` field to wrap. It'd likely
be useful for a ton of other aggs but just one for now.
The usage of blank lines as separator between tests can be tricky to
deal with in case of merges where such lines can be added by accident.
Further more counting non-consecutive lines is non-intuitive.
The tests have been aligned to use ; at the end of the query and
exceptions so that the presence or absence of empty lines is irrelevant.
The parsing of the spec has been changed to perform validation to not
allow invalid/incomplete specs to cause exceptions.
(cherry picked from commit 192ad88d3a51e1e1f1f82830526518720ec88217)
#54803 introduces more QA tests for Azure storage service, but
they fail the build is one of the key or token is missing. It should i
nstead work like repository-azure:qa tests.
`testReduceRandom` was bumping up against the serialization that I added
in #54776. This makes it use random values that reduce in ways that
don't cause the randomized serialization to fail.
When a data frame analytics job is stopped, if the reindexing
task was still in progress we cancel it. Cancelling it should
be done from the same context as when we executed the reindexing
task. That means from a thread context with ML origin.
Backport of #54874
Asserting on the failed_step field from the explainAPI can produce flakiness
because the ILM state is moved back and forth between the (failing) step and
the ERROR step (as the workflow is retry, fail then move to ERROR step,
move back to the (failing) step, retry, fail, etc) and the failed_step
information is only available whilst in the ERROR state.
Unmute other tests as they were collateral failures
A read-only index could not be deleted in the wipeCluster phase and caused
these failures
(cherry picked from commit 99a6d57aeb3cf11abc38b514f38a96bb1612e357)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
`scripted_metric` did not work with cross cluster search because it
assumed that you'd never perform a partial reduction, serialize the
results, and then perform a final reduction. That
serialized-after-partial-reduction step was broken.
This is also required to support #54758.
This commit adds a new point field that is able to index arbitrary pair of values (x/y)
in the cartesian space. It only supports filtering using shape queries at the moment.
This is a backport of #54803 for 7.x.
This pull request cherry picks the squashed commit from #54803 with the additional commits:
6f50c92 which adjusts master code to 7.x
a114549 to mute a failing ILM test (#54818)
48cbca1 and 50186b2 that cleans up and fixes the previous test
aae12bb that adds a missing feature flag (#54861)
6f330e3 that adds missing serialization bits (#54864)
bf72c02 that adjust the version in YAML tests
a51955f that adds some plumbing for the transport client used in integration tests
Co-authored-by: David Turner <david.turner@elastic.co>
Co-authored-by: Yannick Welsch <yannick@welsch.lu>
Co-authored-by: Lee Hinman <dakrone@users.noreply.github.com>
Co-authored-by: Andrei Dan <andrei.dan@elastic.co>
This change adds the response headers of the original search request
in the stored response in order to be able to restore them when retrieving a result
from the async-search index. It also ensures that response headers are preserved for
users that retrieve a final response on a running search task.
Partial response can eventually return response headers too but this change only ensures
that they are present when the response if final.
Relates #33936
This change ensures that the AsyncSearchUser is correctly (de)serialized when
an action executed by this user is sent to a remote node internally (via transport client).
Some functions act as shortcuts for more verbose declarations (sometimes
with certain constraints). This PR removes the boilerplate around
declaring such functions as well as a dedicated rule for the optimizer
to perform the actual substitution.
Fix#54334
(cherry picked from commit 3231d01b0c583deb89252fafe84db48878da3246)
First step towards async search execution. At the moment we don't try to cancel
the underlying search requests, and just check if the task is canceled before
performing network operation (such as field caps and search)
Relates to #49638
Adds t_test metric aggregation that can perform paired and unpaired two-sample
t-tests. In this PR support for filters in unpaired is still missing. It will
be added in a follow-up PR.
Relates to #53692
Previously, the id of the `GetDataFrameAnalyticsStatsAction.Request`
could be `null` which caused NPE on serialization as `writeString`
is used (it doesn't accept null values).
This commit ensures the id is never null.
Closes#54807
Backport of #54808
It seems the 20 seconds timeout is occasionally not enough.
We still get sporadic failures where the logs reveal the job
wasn't opened within 20 seconds. I'm increasing the wait time
to 30 seconds.
Closes#54448
Backport of #54792
This changes a SamlServiceProvider to have a function that maps
from an "action-name" to set of role-names instead of a Map that does
so.
The on-disk representation of this mapping is a set of Java Regexp
Patterns, for which the first matching group is the role name.
For example "sso:(\w+)" would map any action that started with "sso:"
to the corresponding role name (e.g. "sso:superuser" -> "superuser").
Backport of: #54440
The SamlIdentityProviderTests IntegTests would sometimes encounter a
service unavailable exception when registering a new service provider.
This change ensure that there is a data node, and that the cluster
state is recovered before registering providers
Backport of: #54622
A remote client can throw a NoSuchRemoteClusterException while fetching
the cluster state from the leader cluster. We also need to handle that
exception when retrying to add a retention lease to the leader shard.
Closes#53225
The autoscaling REST tests use policies named "hot" in their test
cases. Instead, this commit changes the name of these policies to
"my_autoscaling_policy".
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.
The test results are affected by the off-by-one error that is
fixed by https://github.com/elastic/ml-cpp/pull/1122
This test can be unmuted once that fix is merged and has been
built into ml-cpp snapshots.
Force stopping a failed job used to work but it
now puts the job in `stopping` state and hangs.
In addition, force stopping a `stopping` job is
not handled.
This commit addresses those issues with force
stopping data frame analytics. It inlines the
approach with that followed for anomaly detection
jobs.
Backport of #54650
Backport of #54576.
This commit is part of issue #40366 to remove disabled Xlint warnings
from gradle files. Remove the Xlint exclusions from the following files:
- x-pack/plugin/rollup/build.gradle
- x-pack/plugin/monitoring/build.gradle
- x-pack/qa/rolling-upgrade-basic/build.gradle
Add type parameters to parameterized types. Add wildcard-type parameters
or bounded wildcard-type parameters. Suppress `unchecked` and `rawtypes`
warnings at method level.
In #33933 we disallowed changing the `enabled` parameter in object mappings.
However, the fix didn't cover the root object mapper. This PR adjusts the change
to also include the root mapper and clarifies the error message.
This adds training_percent parameter to the analytics process for Classification and Regression. This parameter is then used to give more accurate memory estimations.
See native side pr: elastic/ml-cpp#1111
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.
* [ML] add new inference_config field to trained model config (#54421)
A new field called `inference_config` is now added to the trained model config object. This new field allows for default inference settings from analytics or some external model builder.
The inference processor can still override whatever is set as the default in the trained model config.
* fixing for backport
This commit addresses an issue with the autoscaling feature flag not
being registered in release builds of the internal cluster tests. This
commit addresses this by enabling the system property that is needed,
but only in release builds.
* [ML] prefer secondary authorization header for data[feed|frame] authz (#54121)
Secondary authorization headers are to be used to facilitate Kibana spaces support + ML jobs/datafeeds.
Now on PUT/Update/Preview datafeed, and PUT data frame analytics the secondary authorization is preferred over the primary (if provided).
closes https://github.com/elastic/elasticsearch/issues/53801
* fixing for backport
- Consolidates HDR/TDigest factories into a single factory
- Consolidates most HDR/TDigest builder into an abstract builder
- Deprecates method(), compression(), numSigFig() in favor of a new
unified PercentileConfig object
- Disallows setting algo options that don't apply to current algo
The unified config method carries both the method and algo-specific
setting. This provides a mechanism to reject settings that apply
to the wrong algorithm. For BWC the old methods are retained
but marked as deprecated, and can be removed in future versions.
Co-authored-by: Mark Tozzi <mark.tozzi@gmail.com>
Co-authored-by: Mark Tozzi <mark.tozzi@gmail.com>
These methods are not needed, we were only following a pattern in the
rest of the codebase, but it's legacy from the HLRC sharing
request/response objects with the server.
When one of ML's normalize processes fails to connect to the JVM
quickly enough and another normalize process for the same job
starts shortly afterwards it is possible that their named pipes
can get mixed up.
This change avoids the risk of that by adding an incrementing
counter value into the named pipe names used for normalize
processes.
Backport of #54636
* [ML] add num_matches and preferred_to_categories to category defintion objects (#54214)
This adds two new fields to category definitions.
- `num_matches` indicating how many documents have been seen by this category
- `preferred_to_categories` indicating which other categories this particular category supersedes when messages are categorized.
These fields are only guaranteed to be up to date after a `_flush` or `_close`
native change: https://github.com/elastic/ml-cpp/pull/1062
* adjusting for backport
* Rename cat.transform => cat.transforms
To match the url.
We typically prefer singular url nouns but _cat tends to use plural and
this API does in fact uses `/_cat/transforms`
* also rename the api in the spec and tests
(cherry picked from commit c495d220ac8fedba7f70f82387cd6d6a672b8b14)
SamlIdentityProviderTests is failing with 409 conflicts that have not
been reproducible outside of CI.
This change turn on additional logging in this test to determine why
these conflict occur.
Relates: #54423
Backport of: #54475
This commit updates the rest API specs to validate against a
JSON schema for the specifications. Most updates are to add
a description, whilst others fix typos and unify conventions
e.g. deprecations, descriptions, urls starting with /. The schema
conforms to draft-07 JSON schema.
(cherry picked from commit da37e01d32f9764c3937736ef0c7d3ab40af9a77)
* 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
The test name says it is testing the put autoscaling decision API, but
that is not right, since no such API exists (nor will exist). This
commit corrects the name of this test to reflect the fact that the test
is about the put autoscaling policy API.
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>
We do not have access to JDK 9 collection convenience methods in 7.x
because we are compatible with JDK 8 there. Yet, we have recently added
a substitute for these convenience methods that even delegate to the
right places when running on JDK 9, to make backporting easier. This
commit utilizes these new methods in the autoscaling codebase.
Use the same ES cluster as both an SP and an IDP and perform
IDP initiated and SP initiated SSO. The REST client plays the role
of both the Cloud UI and Kibana in these flows
Backport of #54215
* fix compilation issues
This commit is the first in a series of commits that introduces
autoscaling policies, and APIs for working with them. For now, we
introduce the basic infrastructure, and a single API for putting an
autoscaling policy. We will follow in rapid succession with APIs for
getting, and deleting autoscaling policies.
When the SAML authentication is not successful, we return a SAML
Response with a status that indicates a failure. This commit adds
an error message in the REST API response along with the SAML
Response XML string so that the caller of the API can identify
that this is an unsuccessful response without needing to parse the
XML.
`AsyncSearchActionTests` currently fails quite often. That is since the introduction of `RestSubmitAsyncSearchActionTests` which indirectly manipulates the channels being tracked in `RestCancellableNodeClient`. There are channels left in the map after `RestSubmitAsyncSearchActionTests` is run, and later `AsyncSearchActionTests` checks that there are no channels in the map which makes each test method fail. This is particularily hard to reproduce as the order in which tests are run appears to be platform dependent.
The test cluster assertion that there are no channels in the map only makes sense in the context of internal cluster tests, while there may be collisions with unit tests that register http channels as part of their testing.
This can be solved by renaming `AsyncSearchActionTests` to `AsyncSearchActionIT`. This way it won't be run as part of unit tests but rather within another JVM where the number of channels is `0` and such assumption holds, because there are no expected manual manipulation of the channels.
Relates to #54180
This is a follow up to a previous commit that renamed MetaData to
Metadata in all of the places. In that commit in master, we renamed
META_DATA to METADATA, but lost this on the backport. This commit
addresses that.
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`
This PR:
1. Fixes the bug where a cardinality estimate of zero could cause
a 500 status
2. Adds tests for that scenario and a few others
3. Adds sensible estimates for the cases that were previously TODO
Backport of #54462
This adds the ability for the IdP to define wildcard service
providers in a JSON file within the ES node's config directory.
If a request is made for a service provider that has not been
registered, then the set of wildcard services is consulted. If the
SP entity-id and ACS match one of the wildcard patterns, then a
dynamic service provider is defined from the associated mustache
template.
Backport of: #54148
This commit clarifies the autoscaling feature flag registration system
property. The intention is that this system property is:
- unset in snapshot builds
- unset, true, or false in release builds
- in release builds, unset behaves the same as false
- therefore, we only register the enabled flag if the build is a
snapshot build, or the build is a release build and the system
property is set to true
This commit clarifies that intention, and removed a confusion situation
where the AUTOSCALING_FEATURE_FLAG_REGISTERED field would be set to
false in a snapshot build, even though we were going to register the
setting.
* EQL: Use In from QL
* EQL: Add more In tests
* EQL: Test In duplicates
* EQL: Add test for In mixed types
* EQL: Copy In translation to QL
* SQL: Use InComparisons from QL
* EQL: Remove boost checks from QueryFolderOkTests
* QL: Add TranslatorHandler.convert
The allowTrial flag is always true, since trial licenses act as though
everything is licensed. This commit removes the allowTrial flag in
license checking helper methods.
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
Fixing the naming of the HLRC values to match the ToXContent field names (i.e. the field names returned from an API call).
Also fixes the names in the _cat API as well.
closes#53946
Backport of #53982
In order to prepare the `AliasOrIndex` abstraction for the introduction of data streams,
the abstraction needs to be made more flexible, because currently it really can be only
an alias or an index.
* Renamed `AliasOrIndex` to `IndexAbstraction`.
* Introduced a `IndexAbstraction.Type` enum to indicate what a `IndexAbstraction` instance is.
* Replaced the `isAlias()` method that returns a boolean with the `getType()` method that returns the new Type enum.
* Moved `getWriteIndex()` up from the `IndexAbstraction.Alias` to the `IndexAbstraction` interface.
* Moved `getAliasName()` up from the `IndexAbstraction.Alias` to the `IndexAbstraction` interface and renamed it to `getName()`.
* Removed unnecessary casting to `IndexAbstraction.Alias` by just checking the `getType()` method.
Relates to #53100
Today the security plugin stashes a copy of the environment in its
constructor, and uses the stashed copy to construct its components even
though it is provided with an environment to create these
components. What is more, the environment it creates in its constructor
is not fully initialized, as it does not have the final copy of the
settings, but the environment passed in while creating components
does. This commit removes that stashed copy of the environment.
Today the machine learning plugin stashes a copy of the environment in
its constructor, and uses the stashed copy to construct its components
even though it is provided with an environment to create these
components. What is more, the environment it creates in its constructor
is not fully initialized, as it does not have the final copy of the
settings, but the environment passed in while creating components
does. This commit removes that stashed copy of the environment.
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.
* Add REST APIs for IndexTemplateV2Metadata CRUD (#54039)
* Add REST APIs for IndexTemplateV2Metadata CRUD
This commit adds the get/put/delete APIs for interacting with the now v2 versions of index
templates.
These APIs are behind the existing `es.itv2_feature_flag_registered` system property feature flag.
Relates to #53101
* Add exceptions for HLRC tests
* Add skips for 7.x versions
* Use index_template instead of template_v2 in action names
* Add test for MetaDataIndexTemplateService.addIndexTemplateV2
* Move removal to static method and add test
* Add unit tests for request classes (implement hashCode & equals)
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
* Fix compilation
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
Today we assign CCR persistent tasks to nodes with the data role. It
could be that the data node is not capable of connecting to remote
clusters, in which case the task will fail since it can not connect to
the remote cluster with the leader shard. Instead, we need to assign
such tasks to nodes that are capable of connecting to remote
clusters. This commit addresses this by enabling such persistent tasks
to only be assigned to nodes that have the data role, and also have the
remote cluster client role.
optimize transform for group_by on date_histogram by injecting an additional range query. This limits the number of search and index requests and avoids unnecessary updates. Only recent buckets get re-written.
fixes#54254
This commit causes negative TimeValues, other than -1 which is sometimes used as
a sentinel value, to be rejected during parsing.
Also introduces a hack to allow ILM to load policies which were written to the
cluster state with a negative min_age, treating those values as 0, which should
match the behavior of prior versions.
The NodesStatsRequest class uses a set of strings for its internal
serialization. This commit updates the class's interface so that we
no longer use hard-coded getters and setters, but rather
methods that add strings directly. For example, the old way of
adding "os" metrics to a request would be to call request.os(true).
The new way of doing this is to call request.addMetric("os").
For the time being, the canonical list of metrics is an enum in
NodesStatsRequest. This will eventually be replaced with something
pluggable.
This commit populates the _stats API response with sensible "empty"
`data_counts` and `memory_usage` objects when the job itself
has not started reporting them.
Backport of #54210
Currently we set the defaults for ccsMinimizeRoundtrips, preFilterShardSize and
requestCache on the HLRC SubmitAsyncSearchRequest in the constructor. This is no
longer needed since we now only send the parameters along with the rest request
that are supported (omitting e.g. ccsMinimizeRoundtrips) and the correct
defaults are set on the client side. This change removes setting and sending
these defaults where possible, leaving only the overwrite of batchedReduceSize
with a default value of 5, since the default used in the vanilla SearchRequest
is 512. However, we don't need to send this value along as a request parameter
if its the default since the correct one will be set on the receiving end if no
value is specified.
Also adding tests for RestSubmitAsyncSearchAction that check the correct
defaults are set when parameters are missing on the server side.
Backport of #54200
When get filters is called without setting the `size`
paramter only up to 10 filters are returned. However,
100 filters should be returned. This commit fixes this
and adds an integ test to guard it.
It seems this was accidentally broken in #39976.
Closes#54206
Backport of #54207
Changes ThreadPool's schedule method to run the schedule task in the context of the thread
that scheduled the task.
This is the more sensible default for this method, and eliminates a range of bugs where the
current thread context is mistakenly dropped.
Closes#17143
This commit renames wait_for_completion to wait_for_completion_timeout in submit async search and get async search.
Also it renames clean_on_completion to keep_on_completion and turns around its behaviour.
Closes#54069
Xpack license state contains a helper method to determine whether
security is disabled due to license level defaults. Most code needs to
know whether security is enabled, not disabled, but this method exists
so that the security being explicitly disabled can be distinguished from
licence level defaulting to disabled. However, in the case that security
is explicitly disabled, the handlers in question are never registered,
so security is implicitly not disabled explicitly, and thus we can share
a single method to know whether licensing is enabled.
With the addition of a formal role for nodes indicating remote cluster connection, the transform specific attribute `node.attr.transform.remote_connect` is no longer necessary.
closes https://github.com/elastic/elasticsearch/issues/54179
This drop the "top level" pipeline aggregators from the aggregation
result tree which should save a little memory and a few serialization
bytes. Perhaps more imporantly, this provides a mechanism by which we
can remove *all* pipelines from the aggregation result tree. This will
save quite a bit of space when pipelines are deep in the tree.
Sadly, doing this isn't simple because of backwards compatibility. Nodes
before 7.7.0 *need* those pipelines. We provide them by setting passing
a `Supplier<PipelineTree>` into the root of the aggregation tree that we
only call if we need to serialize to a version before 7.7.0.
This solution works for cross cluster search because we always reduce
the aggregations in each remote cluster and then forward them back to
the coordinating node. Its quite possible that the coordinating node
needs the pipeline (say it is version 7.1.0) and the gateway node in the
remote cluster doesn't (version 7.7.0). In that case the data nodes
won't send the pipeline aggregations back to the gateway node.
Critically, the gateway node *will* send the pipeline aggregations back
to the coordinating node. This is all managed with that
`Supplier<PipelineTree>`, but *how* it is managed is a bit tricky.
* transform.cat should live in the cat namespace.
Similarly to to ml cat API's also living in the `cat` namespace.
Clients treat the `cat` namespace differently then other API's (return
types, content types). This introduces an exception to this rule.
* rename the specification file as well
(cherry picked from commit 0a98904b1a73a30bbaebc32bd16a238c8d03c329)
* Required for elastic/kibana#50757.
Allows the kibana user to collect APM telemetry in a background task.
* removed unnecessary priviledges on `.ml-anomalies-*` for the `kibana_system` reserved role
This change merges the "feature-internal-idp" branch into Elasticsearch.
This introduces a small identity-provider plugin as a child of the x-pack module.
This allows ES to act as a SAML IdP, for users who are authenticated against the
Elasticsearch cluster.
This feature is intended for internal use within Elastic Cloud environments
and is not supported for any other use case. It falls under an enterprise license tier.
The IdP is disabled by default.
Co-authored-by: Ioannis Kakavas <ioannis@elastic.co>
Co-authored-by: Tim Vernum <tim.vernum@elastic.co>
This commit ensures that the hidden index settings are only applied to the
Transform index templates when the cluster can support those settings.
Also unmutes the tests which were failing due to the previous behavior.
Improve separation of scripting between EQL and SQL by delegating common
methods to QL. The context detection is determined based on the package
to avoid having repetitive class hierarchies.
The Painless whitelists have been improved so that the declaring class
is used instead of the inherited one.
Relates #53688
(cherry picked from commit 6d46033e736c64ac9255c5d6964600d2a931430a)
EQL: Add Substring function with Python semantics (#53688)
Does not reuse substring from SQL due to the difference in semantics and
the accepted arguments.
Currently it is missing full integration tests as, due to the usage of
scripting, requires an actual integration test against a proper cluster
(and likely its own QA project).
(cherry picked from commit f58680bad33d5ce4139157a69a4d9f5f286bc3c4)
As classification now works for multiple classes, randomly
picking training/test data frame rows is not good enough.
This commit introduces a stratified cross validation splitter
that maintains the proportion of the each class in the dataset
in the sample that is used for training the model.
Backport of #54087
Fixes an issue where the elasticsearch-node command-line tools would not work correctly
because PersistentTasksCustomMetaData contains named XContent from plugins. This PR
makes it so that the parsing for all custom metadata is skipped, even if the core system would
know how to handle it.
Closes#53549
Submit async search forces pre_filter_shard_size for the underlying search that it creates.
With this commit we also prevent users from overriding such default as part of request validation.
This commit adds an explicit cancellation of the search task if
the initial async search submit task is cancelled (connection closed by the user).
This was previously done through the cancellation of the parent task but we don't
handle grand-children cancellation yet so we have to manually cancel the search task
in order to ensure that shard actions are cancelled too.
This change can be considered as a workaround until #50990 is fixed.
* add flush always output option that will flush the output printer
after each debug message when enabled (disabled by default)
* at debug output initializationtime, log debug output
information about OS, JVM and default JVM timezone
(cherry picked from commit b5db9657d1eadce9902041e5b128bf32c02d302a)
It is possible for ML jobs to open lazily if the "allow_lazy_open"
option in the job config is set to true. Such jobs wait in the
"opening" state until a node has sufficient capacity to run them.
This commit fixes the bug that prevented datafeeds for jobs lazily
waiting assignment from being started. The state of such datafeeds
is "starting", and they can be stopped by the stop datafeed API
while in this state with or without force.
Backport of #53918
Role names are now compiled from role templates before role mapping is saved.
This serves as validation for role templates to prevent malformed and invalid scripts
to be persisted, which could later break authentication.
Resolves: #48773
This commit instruments data frame analytics
with stats for the data that are being analyzed.
In particular, we count training docs, test docs,
and skipped docs.
In order to account docs with missing values as skipped
docs for analyses that do not support missing values,
this commit changes the extractor so that it only ignores
docs with missing values when it collects the data summary,
which is used to estimate memory usage.
Backport of #53998
add 2 additional stats: processing time and processing total which capture the
time spent for processing results and how often it ran. The 2 new stats
correspond to the existing indexing and search stats. Together with indexing
and search this now allows the user to see the full picture, all 3 stages.
This is the first in a series of commits that will introduce the
autoscaling deciders framework. This commit introduces the basic
framework for representing autoscaling decisions.
Adds multi-class feature importance calculation.
Feature importance objects are now mapped as follows
(logistic) Regression:
```
{
"feature_name": "feature_0",
"importance": -1.3
}
```
Multi-class [class names are `foo`, `bar`, `baz`]
```
{
“feature_name”: “feature_0”,
“importance”: 2.0, // sum(abs()) of class importances
“foo”: 1.0,
“bar”: 0.5,
“baz”: -0.5
},
```
For users to get the full benefit of aggregating and searching for feature importance, they should update their index mapping as follows (before turning this option on in their pipelines)
```
"ml.inference.feature_importance": {
"type": "nested",
"dynamic": true,
"properties": {
"feature_name": {
"type": "keyword"
},
"importance": {
"type": "double"
}
}
}
```
The mapping field name is as follows
`ml.<inference.target_field>.<inference.tag>.feature_importance`
if `inference.tag` is not provided in the processor definition, it is not part of the field path.
`inference.target_field` is defaulted to `ml.inference`.
//cc @lcawl ^ Where should we document this?
If this makes it in for 7.7, there shouldn't be any feature_importance at inference BWC worries as 7.7 is the first version to have it.
This commit removes the configuration time vs execution time distinction
with regards to certain BuildParms properties. Because of the cost of
determining Java versions for configuration JDK locations we deferred
this until execution time. This had two main downsides. First, we had
to implement all this build logic in tasks, which required a bunch of
additional plumbing and complexity. Second, because some information
wasn't known during configuration time, we had to nest any build logic
that depended on this in awkward callbacks.
We now defer to the JavaInstallationRegistry recently added in Gradle.
This utility uses a much more efficient method for probing Java
installations vs our jrunscript implementation. This, combined with some
optimizations to avoid probing the current JVM as well as deferring
some evaluation via Providers when probing installations for BWC builds
we can maintain effectively the same configuration time performance
while removing a bunch of complexity and runtime cost (snapshotting
inputs for the GenerateGlobalBuildInfoTask was very expensive). The end
result should be a much more responsive build execution in almost all
scenarios.
(cherry picked from commit ecdbd37f2e0f0447ed574b306adb64c19adc3ce1)
This moves the pipeline aggregation validation from the data node to the
coordinating node so that we, eventually, can stop sending pipeline
aggregations to the data nodes entirely. In fact, it moves it into the
"request validation" stage so multiple errors can be accumulated and
sent back to the requester for the entire request. We can't always take
advantage of that, but it'll be nice for folks not to have to play
whack-a-mole with validation.
This is implemented by replacing `PipelineAggretionBuilder#validate`
with:
```
protected abstract void validate(ValidationContext context);
```
The `ValidationContext` handles the accumulation of validation failures,
provides access to the aggregation's siblings, and implements a few
validation utility methods.
Benchmarking showed that the effect of the ExitableDirectoryReader
is reduced considerably when checking every 8191 docs. Moreover,
set the cancellable task before calling QueryPhase#preProcess()
and make sure we don't wrap with an ExitableDirectoryReader at all
when lowLevelCancellation is set to false to avoid completely any
performance impact.
Follows: #52822
Follows: #53166
Follows: #53496
(cherry picked from commit cdc377e8e74d3ca6c231c36dc5e80621aab47c69)
Feature importance storage format is changing to encompass multi-class.
Feature importance objects are now mapped as follows
(logistic) Regression:
```
{
"feature_name": "feature_0",
"importance": -1.3
}
```
Multi-class [class names are `foo`, `bar`, `baz`]
```
{
“feature_name”: “feature_0”,
“importance”: 2.0, // sum(abs()) of class importances
“foo”: 1.0,
“bar”: 0.5,
“baz”: -0.5
},
```
This change adjusts the mapping creation for analytics so that the field is mapped as a `nested` type.
Native side change: https://github.com/elastic/ml-cpp/pull/1071
* Get Async Search: omit _clusters section when empty (#53907)
The _clusters section is omitted by the search API whenever no remote clusters are searched. Async search should do the same, but Get Async Search returns a deserialized response, hence a weird `_clusters` section with all values set to `0` gets returned instead. In fact the recreated Clusters object is not the same object as the EMPTY constant, yet it has the same content.
This commit addresses this by changing the comparison in the `toXContent` method to not print out the section if the number of total clusters is `0`.
* Async search: remove version from response (#53960)
The goal of the version field was to quickly show when you can expect to find something new in the search response, compared to when nothing has changed. This can also be done by looking at the `_shards` section and `num_reduce_phases` returned with the search response. In fact when there has been one or more additional reduction of the results, you can expect new results in the search response. Otherwise, the `_shards` section could notify of additional failures of shards that have completed the query, but that is not a guarantee that their results will be exposed (only when the following partial reduction is performed their results will be available).
That said this commit clarifies this in the docs and removes the version field from the async search response
* Async Search: replicas to auto expand from 0 to 1 (#53964)
This way single node clusters that are green don't go yellow once async search is used, while
all the others still have one replica.
* [DOCS] address timing issue in async search docs tests (#53910)
The docs snippets for submit async search have proven difficult to test as it is not possible to guarantee that you get a response that is not final, even when providing `wait_for_completion=0`. In the docs we want to show though a proper long-running query, and its first response should be partial rather than final.
With this commit we adapt the docs snippets to show a partial response, and replace under the hood all that's needed to make the snippets tests succeed when we get a final response. Also, increased the timeout so we always get a final response.
Closes#53887Closes#53891
Since a data frame analytics job may have associated docs
in the .ml-stats-* indices, when the job is deleted we
should delete those docs too.
Backport of #53933
Use sequence numbers and force merge UUID to determine whether a shard has changed or not instead before falling back to comparing files to get incremental snapshots on primary fail-over.
While `CustomProcessor` is generic and allows for flexibility, there
are new requirements that make cross validation a concept it's hard
to abstract behind custom processor. In particular, we would like to
add data_counts to the DFA jobs stats. Counting training VS. test
docs would be a useful statistic. We would also want to add a
different cross validation strategy for multiclass classification.
This commit renames custom processors to cross validation splitters
which allows for those enhancements without cryptically doing
things as a side effect of the abstract custom processing.
Backport of #53915
This commits adds a data stream feature flag, initial definition of a data stream and
the stubs for the data stream create, delete and get APIs. Also simple serialization
tests are added and a rest test to thest the data stream API stubs.
This is a large amount of code and mainly mechanical, but this commit should be
straightforward to review, because there isn't any real logic.
The data stream transport and rest action are behind the data stream feature flag and
are only intialized if the feature flag is enabled. The feature flag is enabled if
elasticsearch is build as snapshot or a release build and the
'es.datastreams_feature_flag_registered' is enabled.
The integ-test-zip sets the feature flag if building a release build, otherwise
rest tests would fail.
Relates to #53100
Source-only snapshots currently create a second full source-only copy of the shard on disk to
support incrementality during upload. Given that stored fields are occupying a substantial part
of a shard's storage, this means that clusters with source-only snapshots can require up to
50% more local storage. Ideally we would only generate source-only parts of the shard for the
things that need to be uploaded (i.e. do incrementality checks on original file instead of
trimmed-down source-only versions), but that requires much bigger changes to the snapshot
infrastructure. This here is an attempt to dramatically cut down on the storage used by the
source-only copy of the shard by soft-linking the stored-fields files (fd*) instead of copying
them.
Relates #50231
This change adds a "grant API key action"
POST /_security/api_key/grant
that creates a new API key using the privileges of one user ("the
system user") to execute the action, but creates the API key with
the roles of the second user ("the end user").
This allows a system (such as Kibana) to create API keys representing
the identity and access of an authenticated user without requiring
that user to have permission to create API keys on their own.
This also creates a new QA project for security on trial licenses and runs
the API key tests there
Backport of: #52886
This change adds a new exception with consistent metadata for when
security features are not enabled. This allows clients to be able to
tell that an API failed due to a configuration option, and respond
accordingly.
Relates: kibana#55255
Resolves: #52311, #47759
Backport of: #52811
This commit introduces aarch64 packaging, including bundling an aarch64
JDK distribution. We had to make some interesting choices here:
- ML binaries are not compiled for aarch64, so for now we disable ML on
aarch64
- depending on underlying page sizes, we have to disable class data
sharing
This commit changes the Transforms notifications index to be hidden
index, with a hidden alias.
This commit also removes the temporary hack in
MetaDataCreateIndexService that prevents deprecation warnings for known
dot-prefixed index names which are not hidden/system indices, as this
was the last index pattern to need that hack.
In xpack the license state contains methods to determine whether a
particular feature is allowed to be used. The one exception is
allowsRealmTypes() which returns an enum of the types of realms allowed.
This change converts the enum values to boolean methods. There are 2
notable changes: NONE is removed as we always fall back to basic license
behavior, and NATIVE is not needed because it would always return true
since we should always have a basic license.
Fixes up the "forbidden" warnings that you get when you import
Elasticsearch using "import gradle projects".
With this, and the manual step of switching circular project definitions
to warnings this gets most thing *compiling*.
This commit adds a new AsyncSearchClient to the High Level Rest Client which
initially supporst the submitAsyncSearch in its blocking and non-blocking
flavour. Also adding client side request and response objects and parsing code
to parse the xContent output of the client side AsyncSearchResponse together
with parsing roundtrip tests and a simple roundtrip integration test.
Relates to #49091
Backport of #53592
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
Adds parsing and indexing of analysis instrumentation stats.
The latest one is also returned from the get-stats API.
Note that we chose to duplicate objects even where they are currently
similar. There are already ideas on how these will diverge in the future
and while the duplication looks ugly at the moment, it is the option
that offers the highest flexibility.
Backport of #53788
The AuditTrailService has historically been an AuditTrail itself, acting
as a composite of the configured audit trails. This commit removes that
interface from the service and instead builds a composite delegating
implementation internally. The service now has a single get() method to
get an AuditTrail implementation which may be called. If auditing is not
allowed by the license, an empty noop version is returned.
There is an assertion in ReloadAnalyzersResponse.merge that compares index names
of merged responses that was falsely using object equality instead of
String.equals(). In the past this didn't seem to matter but with changes in the
test setup we started to see failures. Correcting this and also simplifying test
a bit to be able to run it repeatedly if needed.
Backport of #53663
* [ML] only retry persistence failures when the failure is intermittent and stop retrying when analytics job is stopping (#53725)
This fixes two issues:
- Results persister would retry actions even if they are not intermittent. An example of an persistent failure is a doc mapping problem.
- Data frame analytics would continue to retry to persist results even after the job is stopped.
closes https://github.com/elastic/elasticsearch/issues/53687
Prior to this commit Watcher explicitly copied test between two
projects with a copy task. This commit removes the explicit copy in favor
of adding the Watcher tests to the available restResources that may be
copied between projects.
This is how inter-project dependencies should be modeled. However, only
Watcher is included here since it is (currently) the only project with
inter-project test dependencies.
Backport to 7x
Enable geo_shape query to work on geo_point fields for shapes: circle, polygon, multipolygon, rectangle see: #48928
Co-Authored-By: @iverase
* Adds per context settings:
`script.context.${CONTEXT}.cache_max_size` ~
`script.cache.max_size`
`script.context.${CONTEXT}.cache_expire` ~
`script.cache.expire`
`script.context.${CONTEXT}.max_compilations_rate` ~
`script.max_compilations_rate`
* Context cache is used if:
`script.max_compilations_rate=use-context`. This
value is dynamically updatable, so users can
switch back to the general cache if desired.
* Settings for context caches take the first value
that applies:
1) Context specific settings if set, eg
`script.context.ingest.cache_max_size`
2) Correlated general setting is set to the non-default
value, eg `script.cache.max_size`
3) Context default
The reason for 2's inclusion is to allow an easy
transition for users who've customized their general
cache settings.
Using the general cache settings for the context caches
results in higher effective settings, since they are
multiplied across the number of contexts. So a general
cache max size of 200 will become 200 * # of contexts.
However, this behavior it will avoid users snapping to a
value that is too low for them.
Backport of: #52855
Refs: #50152
Some clients have problems running this test as a numeric key is treated like an array index by default.
We can work around this by renaming the aggregation key to not be a numeric.
David Turner
Ryan Ernst
Aleksandr Maus
Tal Levy
Nik Everett
Costin Leau
Tanguy Leroux
Larry Gregory
Dimitris Athanasiou
Andrei Dan
Ignacio Vera
David Roberts
Armin Braun
Jim Ferenczi
Igor Motov
David Kyle
Tim Vernum
Jason Tedor
Nhat Nguyen
Ross Wolf
Ioannis Kakavas
Christoph Büscher
Maria Ralli
Julie Tibshirani
Benjamin Trent
Zachary Tong
Martijn Laarman
Russ Cam
William Brafford
Mayya Sharipova
Przemysław Witek
Luca Cavanna
Andrei Stefan
Martijn van Groningen
Tim Brooks
Stuart Tettemer
Lee Hinman
Yannick Welsch
Hendrik Muhs
Gordon Brown
William Brafford
David Turner
Yang Wang
Mark Vieira
Oliver Gupte
markharwood
Alan Woodward
Peter Schretlen
Marios Trivyzas
Jake Landis
Dominic Page