Adds corresponding steps for the get and delete data stream APIs to the
data stream setup tutorial. Also provides some guidance on how to
determine the current write index for a data stream.
Allows the kibana user to collect data telemetry in a background
task by giving the kibana_system built-in role the view_index_metadata
and monitoring privileges over all indices (*).
Without this fix, users who try to use Metricbeat for Stack Monitoring today
see the following error repeatedly in their Metricbeat log. Due to this error
Metricbeat is unwilling to proceed further and, thus, no Stack Monitoring
data is indexed into the Elasticsearch cluster.
Co-authored-by: Albert Zaharovits <albert.zaharovits@elastic.co>
- This configures the testkit gradle runner to run with debug enabled automatically when
test is executed in debug mode (e.g. from the IDE)
- Allows step by step debugging of GradleIntegrationTestCase tests
* Remove usage of deprecated testCompile configuration
* Replace testCompile usage by testImplementation
* Make testImplementation non transitive by default (as we did for testCompile)
* Update CONTRIBUTING about using testImplementation for test dependencies
* Fail on testCompile configuration usage
This commit clarifies that the `expand_wildcards` option (as well as other
`IndicesOptions` parameters) can be used with the Create Snapshot API, but that
they must be in the body of the request.
Also clarifies the connection between `expand_wildcards` and hidden indices as
it relates to snapshots.
Previously we excluded requiring licenses for dependencies with the
group name org.elasticsearch under the assumption that these use the
top-level Elasticsearch license. This is not always correct, for
example, for the org.elasticsearch:jna dependency as this is merely a
wrapper around the upstream JNA project, and that is the license that we
should be including. A recent change modified this check from using the
group name to checking only if the dependency is a project
dependency. This exposed the use of JNA in SQL CLI to this check, but
the license for it was not added. This commit addresses this by adding
the license.
Relates #58015
This has `EnsembleInferenceModel` not parse feature_names from the XContent.
Instead, it will rely on `rewriteFeatureIndices` to be called ahead time.
Consequently, protections are made for a fail fast path if `rewriteFeatureIndices` has not been called before `infer`.
We were previously configuring BWC testing tasks by matching on task
name prefix. This naive approach breaks down when you have versions like
1.0.1 and 1.0.10 since they both share a common prefix. This commit
makes the pattern matching more specific so we won't inadvertently
spin up the wrong cluster version.
Before #57042 the max_buckets test would consistently pass because the
request would consistently fail. In particular, the request would fail on
the data node. After #57042 it only fails on the coordinating node. When
the max_buckets test is run in a mixed version cluster it consistently
fails on *either* the data node or the coordinating node. Except when
the coordinating node is missing #43095. In that case if the one data
node has #57042 and one does not, *and* the one that doesn't gets the
request first, fails it as expected, and then the coordinating node
retries the request on the node with #57042. When that happens the
request fails mysteriously with "partial shard failures" as the error
message but not partial failures reported. This is *exactly* the bug
fixed in #43095.
This updates the test to be skipped in mixed version clusters without
#43095 because they *sometimes* fail the test spuriously. The request
fails in those cases, just like we expect, but with a mysterious error
message.
Closes#57657
By default we filter out projects from dependencies info task based on their
group names. We should be filtering based on if the dependency is a project
dependency.
Changes:
* Adds new 'Reindex with a data stream' section to 'Use a data stream'
* Makes the existing reindex API docs aware of data streams
* Rewrites the reindex glossary definition to include data streams
Co-authored-by: James Rodewig <james.rodewig@elastic.co>
Co-authored-by: István Zoltán Szabó <istvan.szabo@elastic.co>
Co-authored-by: Tim Vernum <tim@adjective.org>
Co-authored-by: lcawl <lcawley@elastic.co>
We keep a static list of meta-fields: META_FIELDS_BEFORE_7_8
as it was before.
This is done to ensure the backwards compatability with pre 7.8 nodes.
Closes#57831
If `ExtraFS` decides to put `extra0/0` into the indices folder
then the previous logic in this test would have interpreted the `0`
as shard `0` of index `extra0` and fail to list its contents (since it's a file
and not an actual shard directory).
=> simplified the logic to use actually referenced `IndexId` for iterating over indices
instead.
Scheduling on the threadpool will throw if the scheduler is already
shut down. Handled by treating the rejection like any other non-retryable
exception.
Closes#58021
This moves the code to look up significance heuristics information like
background frequency and superset size out of
`SignificantTermsAggregatorFactory` and into its own home so that it is
easier to pass around. This will:
1. Make us feel better about ourselves for not passing around the
factory, which is really *supposed* to be a throw away thing.
2. Abstract the significance lookup logic so we can reuse it for the
`significant_text` aggregation.
3. Make if very simple to cache the background frequencies which should
speed up when the agg is a sub-agg. We had done this for numerics
but not string-shaped significant terms.
This type of result will store stats about how well categorization
is performing. When per-partition categorization is in use, separate
documents will be written for every partition so that it is possible
to see if categorization is working well for some partitions but not
others.
This PR is a minimal implementation to allow the C++ side changes to
be made. More Java side changes related to per-partition
categorization will be in followup PRs. However, even in the long
term I do not see a major benefit in introducing dedicated APIs for
querying categorizer stats. Like forecast request stats the
categorizer stats can be read directly from the job's results alias.
Backport of #57978
Backport of #57870 to 7.x branch.
This change now also copies the op_type from the reindex request's destination index request to the actual index request being used in the bulk request.
For ensuring no document exists, the op_type create doesn't need to be copied, since Versions.MATCH_DELETED will copied from the 'mainRequest.getDestination().version()'.
The `version()` method on IndexRequest only returns Versions.MATCH_DELETED if op_type=create and no specific version has been specified.
However in order to be able to index into a data stream, the op_type must be create. So in order to support that the op_type must be copied from the reindex request's destination index request to the actual index request being used in the bulk request.
Relates to #53100 and #57788
Adds support for reading in `model_size_info` objects.
These objects contain numeric values indicating the model definition size and complexity.
Additionally, these objects are not stored or serialized to any other node. They are to be used for calculating and storing model metadata. They are much smaller on heap than the true model definition and should help prevent the analytics process from using too much memory.
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
Dan Hermann
István Zoltán Szabó
James Rodewig
Alejandro Fernández Haro
Shaunak Kashyap
Rene Groeschke
Ignacio Vera
Armin Braun
Gordon Brown
Nik Everett
Jason Tedor
Benjamin Trent
Mark Vieira
James Baiera
Ryan Ernst
Matthias Gärtner
Rory Hunter
Mayya Sharipova
Martijn van Groningen
David Roberts
markharwood
David Kyle
Mark Tozzi
Igor Motov