The MachineLearningIT.testStopDatafeed test was creating 3
jobs each with the default model memory limit of 1GB. This
meant that the test would not run on a machine with less than
10GB of RAM (due to the default ML memory percentage of 30%).
This change reduces the model memory limit for these jobs to
0.5GB, which means the test will run on a machine with only
5GB of RAM.
Relates to https://discuss.elastic.co/t/failed-ml-tests-when-running-the-gradle-check-task-against-unchanged-repo-code/227829
The usage of local parameter for GetFieldMappingRequest has been removed from the underlying transport action since v2.0.
This PR deprecates the parameter from rest layer. It will be removed in next major version.
* HLRC support for Index Templates V2 (#54838)
* HLRC support for Index Templates V2
This change adds High Level Rest Client support for Index Templates V2.
Relates to #53101
* fixed compilation error
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
Today when canceling a task we broadcast ban/unban requests to all nodes
in the cluster. This strategy does not scale well for hierarchical
cancellation. With this change, we will track outstanding child requests
and broadcast the cancellation to only nodes that have outstanding child
tasks. This change also prevents a parent task from sending child
requests once it got canceled.
Relates #50990
Supersedes #51157
Co-authored-by: Igor Motov <igor@motovs.org>
Co-authored-by: Yannick Welsch <yannick@welsch.lu>
Added decompression of gzip when gzip value is return as an header from Elasticsearch
(cherry picked from commit 4a195b573ab85d4e756669c953419ebdb3003442)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
Co-authored-by: Hakky54 <hakangoudberg@hotmail.com>
* [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
* [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
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.
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
* 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>
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.
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
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
Currently the remote info api has added a number of possible fields
(proxy, num_socket_connections, etc) that are available in proxy mode.
These fields are not aligned with what the settings are named. This
commit modifies this API to align with the settings.
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 commit changes the pre_filter_shard_size default from 128 to unspecified.
This allows to apply heuristics based on the request and the target indices when deciding
whether the can match phase should run or not. When unspecified, this pr runs the can match phase
automatically if one of these conditions is met:
* The request targets more than 128 shards.
* The request contains read-only indices.
* The primary sort of the query targets an indexed field.
Users can opt-out from this behavior by setting the `pre_filter_shard_size` to a static value.
Closes#39835
* 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
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
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
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
Currently we don't send values for the `pre_filter_shard_size` and
`max_concurrent_shard_requests` SearchRequest parameters over http when using
the High Level Rest Client. This change adds these parameters to the
RequestConverters and tests.
Sometimes we want to deprecate and remove a ParseField entirely, without replacement;
for example, the various places where we specify a _type field in 7x. Currently we can
tell users only that a particular field name should not be used, and that another name should
be used in its place. This commit adds the ability to say that a field should not be used at
all.
changes the output format of preview regarding deduced mappings and enhances
it to return all the details about auto-index creation. This allows the user
to customize the index creation. Using HLRC you can create a index request
from the output of the response.
backport #53572
* Add REST API for ComponentTemplate CRUD
This adds the Put/Get/DeleteComponentTemplate APIs that allow inserting, retrieving, and removing
ComponentTemplateMetadata into the cluster state metadata.
These APIs are currently only available behind a feature flag system property -
`es.itv2_feature_flag_registered`.
Relates to #53101
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
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>
Adds a new parameter for classification that enables choosing whether to assign labels to
maximise accuracy or to maximise the minimum class recall.
Fixes#52427.
This changes the `top_metrics` aggregation to return metrics in their
original type. Since it only supports numerics, that means that dates,
longs, and doubles will come back as stored, with their appropriate
formatter applied.
Adds a new `default_field_map` field to trained model config objects.
This allows the model creator to supply field map if it knows that there should be some map for inference to work directly against the training data.
The use case internally is having analytics jobs supply a field mapping for multi-field fields. This allows us to use the model "out of the box" on data where we trained on `foo.keyword` but the `_source` only references `foo`.
Currently the AbstractBulkByScrollRequest accepts slice values of 0 via its
`setSlices` method, denoting the "auto" slicing behaviour that is usable by
settting the "slices=auto" parameter on rest requests. When using the High Level
Rest Client, however, we send the 0 value as an integer, which is then rejected
as invalid by `AbstractBulkByScrollRequest#parseSlices`. Instead of making
parsing of the rest request more lenient, this PR opts for changing the
RequestConverter logic in the client to translate 0 values to "auto" on the rest
requests.
Closes#53044
Adds reporting of memory usage for data frame analytics jobs.
This commit introduces a new index pattern `.ml-stats-*` whose
first concrete index will be `.ml-stats-000001`. This index serves
to store instrumentation information for those jobs.
Backport of #52778 and #52958
We mades roles pluggable, but never updated the client to account for
this. This means that when speaking to a modern cluster, application
logs are spammed with warning messages around unrecognized roles. This
commit addresses this by accounting for the fact that roles can extend
beyond master/data/ingest now.
* [ML][Inference] Add support for multi-value leaves to the tree model (#52531)
This adds support for multi-value leaves. This is a prerequisite for multi-class boosted tree classification.
This adds a new configurable field called `indices_options`. This allows users to create or update the indices_options used when a datafeed reads from an index.
This is necessary for the following use cases:
- Reading from frozen indices
- Allowing certain indices in multiple index patterns to not exist yet
These index options are available on datafeed creation and update. Users may specify them as URL parameters or within the configuration object.
closes https://github.com/elastic/elasticsearch/issues/48056
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
Add query execution and return actual results returned from
Elasticsearch inside the tests
(cherry picked from commit 3e039282bf991af87604a6d4f8eada19d5e33842)
* 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
}
}
```
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 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
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>
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 change adds support for the following new model_size_stats
fields:
- categorized_doc_count
- total_category_count
- frequent_category_count
- rare_category_count
- dead_category_count
- categorization_status
Backport of #51879
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
in preparation for feature importance and split information gain, adding `number_samples` field to `TreeNode` definition.
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
The main purpose of this commit is to add a single autoscaling REST
endpoint skeleton, for the purpose of starting to build out the build
and testing infrastructure that will surround it. For example, rather
than commiting a fully-functioning autoscaling API, we introduce here
the skeleton so that we can start wiring up the build and testing
infrastructure, establish security roles/permissions, an so on. This
way, in a forthcoming PR that introduces actual functionality, that PR
will be smaller and have less distractions around that sort of
infrastructure.
SecurityIT.testGetUser creates a user for testing purposes, but did
not delete the user at the end of the test. This could leave the
cluster in an unexpected state for other tests.
This commit:
- Deletes the user at the end of `testGetUser`
- Adds the test-name as metadata to the users that are created in `SecurityIT`
so that their origin is clear if they do interfere with other tests
- Enables SecurityDocumentationIT.testGetUsers on the expectation that
the new cleanup step will resolve the unreliability of that test.
Relates: #48440
Co-authored-by: Tim Vernum <tim@adjective.org>
Currently, the same class `FieldCapabilities` is used both to represent the
capabilities for one index, and also the merged capabilities across indices. To
help clarify the logic, this PR proposes to create a separate class
`IndexFieldCapabilities` for the capabilities in one index. The refactor will
also help when adding `source_path` information in #49264, since the merged
source path field will have a different structure from the field for a single index.
Individual changes:
* Add a new class IndexFieldCapabilities.
* Remove extra constructor from FieldCapabilities.
* Combine the add and merge methods in FieldCapabilities.Builder.
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`.
* Rename ILM history index enablement setting
The previous setting was `index.lifecycle.history_index_enabled`, this commit changes it to
`indices.lifecycle.history_index_enabled` to indicate this is not an index-level setting (it's node
level).
* [ML][Inference] Fix weighted mode definition (#51648)
Weighted mode inaccurately assumed that the "max value" of the input values would be the maximum class value. This does not make sense.
Weighted Mode should know how many classes there are. Hence the new parameter `num_classes`. This indicates what the maximum class value to be expected.
The audit index is re-created for every testrun and therefore potential useful debug information
gets lost. This change reads out the audit index and logs the results, which makes them available
for debugging CI issues.
relates #51549
This commit creates a new index privilege named `maintenance`.
The privilege grants the following actions: `refresh`, `flush` (also synced-`flush`),
and `force-merge`. Previously the actions were only under the `manage` privilege
which in some situations was too permissive.
Co-authored-by: Amir H Movahed <arhd83@gmail.com>
This commit adds examples in our documentation for
- An HLRC instance authenticating to an elasticsearch cluster using
an elasticsearch token service access token or an API key
- An HLRC instance connecting to an elasticsearch cluster that is
setup for TLS on the HTTP layer when the CA certificate of the
cluster is available either as a PEM file or a keystore
- An HLRC instance connecting to an elasticsearch cluster that
requires client authentication where the client key and certificate
are available in a keystore
Co-Authored-By: Lisa Cawley <lcawley@elastic.co>
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
* [ML][Inference] add tags url param to GET (#51330)
Adds a new URL parameter, `tags` to the GET _ml/inference/<model_id> endpoint.
This parameter allows the list of models to be further reduced to those who contain all the provided tags.
This change adds a new `kibana_admin` role, and deprecates
the old `kibana_user` and`kibana_dashboard_only_user`roles.
The deprecation is implemented via a new reserved metadata
attribute, which can be consumed from the API and also triggers
deprecation logging when used (by a user authenticating to
Elasticsearch).
Some docs have been updated to avoid references to these
deprecated roles.
Backport of: #46456
Co-authored-by: Larry Gregory <lgregorydev@gmail.com>
* [ML][Inference] Adding classification_weights to ensemble models
classification_weights are a way to allow models to
prefer specific classification results over others
this might be advantageous if classification value
probabilities are a known quantity and can improve
model error rates.
David Roberts
Mark Vieira
Yang Wang
Przemko Robakowski
Nhat Nguyen
Andrei Dan
Benjamin Trent
Christoph Büscher
Mayya Sharipova
Jason Tedor
Dimitris Athanasiou
Nik Everett
Lee Hinman
Hendrik Muhs
Gordon Brown
Armin Braun
Luca Cavanna
Tim Brooks
Przemysław Witek
Jim Ferenczi
Martijn van Groningen
Alan Woodward
Ryan Ernst
David Kyle
Tom Veasey
Aleksandr Maus
Costin Leau
Dan Hermann
Josh Devins
Jake Landis
Sachin Frayne
Igor Motov
Maria Ralli
Jay Modi
Ioannis Kakavas
Julie Tibshirani
James Rodewig
Albert Zaharovits
Tim Vernum