This commit generalizes how QueryPhaseResultConsumer is initialized.
The query phase always uses this consumer so it doesn't need to be hidden behind
an abstract class.
PR #61474 reworked deprecation logging to rely more heavily on log4j. Unfortunately,
the changes required to log4j's configuration were not applied to the version we ship
with the Docker image.
The ML mappings upgrade test had become useless as it was
checking a field that has been the same since 6.5. This
commit switches to a field that was changed in 7.9.
Additionally, the test only used to check the results index
mappings. This commit also adds checking for the config
index.
Backport of #61340
During a rolling upgrade it is possible that a worker node will be upgraded before
the master in which case the DFA templates will not have been installed.
Before a DFA task starts check that the latest template is installed and install it if necessary.
Several field mappers have a null_value parameter, that allows you to specify a placeholder
value to insert into a document if the incoming value for that field is null. The default value
for this is always null, meaning "add no placeholder". However, we explicitly bar users from
setting this parameter directly to null (done in #7978, in order to fix an NPE).
This exclusion means that if a mapper is serialized with include_defaults, then we either need
to special-case null_value to ensure that it is not output when it holds the default value, or
we find that the resulting serialized form cannot be used to create a mapping. This stops us
doing some useful generic testing of mappers.
This commit permits null as a parameter value for null_value, and changes the tests to check
that it is a) permissible and b) applied without throwing errors. As part of the testing changes,
a new base class MapperServiceTestCase is refactored from MapperTestCase, holding
the various helper methods related to building mappings but not the single-mapper specific
abstract methods.
Closes#58823
This removes the assertion that the header warnings we parse in the
rest client reponses conform to RFC 7234 because we are not in full control
of the warnings that could be present in the responses (ie. proxies might
emit warnings that don't comply).
We still maintain this assertion on the ES side (see `HeaderWarning#addWarning`)
for the warnings we emit.
(cherry picked from commit 1259a46cbe84d32e85cd1a7455012d177b809702)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
We now link to the top-level keyword type family page instead of its individual
subsections. This better fits the page format, where each type name is a link.
Fixes wrong NaN comparison in error message generator in GeoPolygonDecomposer and PolygonBuilder.
Supersedes #48207
Co-authored-by: Pedro Luiz Cabral Salomon Prado <pedroprado010@users.noreply.github.com>
The recursive data.path FilePermission check is an extremely hot
codepath in Elasticsearch. Unfortunately the FilePermission check in
Java is extremely allocation heavy. As it iterates through different
file permissions, it allocates byte arrays for each Path component that
must be compared. This PR improves the situation by adding the recursive
data.path FilePermission it its own PermissionsCollection object which
is checked first.
The change #57936 introduced a dedicated thread pool for reads in system indices.
It also introduced a potential NPE in the case the index to read in not yet present in
the cluster state. This commit fixes that bug by using the getIndexSafe() instead of
just index() method when retrieving the index's metadata so that an INFE is thrown
if the index does not exist.
When an error occurs and we set the task to failed via
the `DataFrameAnalyticsTask.setFailed` method we do not
persist progress. If the job is later restarted, this means
we do not correctly restore from where we can but instead
we start the job from scratch and have to redo the reindexing
phase.
This commit solves this bug by persisting the progress before
setting the task to failed.
Backport of #61782
We had a bug here were we put a `null` value into the shard
assignment mapping when reassigning work after a snapshot delete
had gone through. This only affects partial snaphots but essentially
dead-locks the snapshot process.
Closes#61762
@ywangd made an awesome analysis on why this test is failing, over
at https://github.com/elastic/elasticsearch/issues/55816#issuecomment-620913282
This change makes it so that we use the same client to perform a
refresh of a token, as we use to subsequently attempt to authenticate
with the refreshed token. This ensures the tests are failing and is
a good approximation of how we expect the same client doing the
refresh, to also perform the subsequent authentication in real life
uses.
The errors we were seeing from users have disappeared after #55114
so we deem our behavior safe.
System indices can be snapshotted and are therefore potential candidates
to be mounted as searchable snapshot indices. As of today nothing
prevents a snapshot to be mounted under an index name starting with .
and this can lead to conflicting situations because searchable snapshot
indices are read-only and Elasticsearch expects some system indices
to be writable; because searchable snapshot indices will soon use an
internal system index (#60522) to speed up recoveries and we should
prevent the system index to be itself a searchable snapshot index
(leading to some deadlock situation for recovery).
This commit introduces a changes to prevent snapshots to be mounted
as a system index.
BlobStoreCacheService implements ClusterStateListener in order to
maintain a ready flag that can be used to know when the snapshot
blob cache should be queries or not.
Now the getAsync() method correctly handles the various exceptions
that can be thrown when the .snapshot-blob-cache index is not
available(in isExpectedCacheGetException()) and logs as DEBUG
we can safely remove the ready flag.
This reworks `CardinalityUpperBound` to support precise estimates while
maintaining most of the public API. This will allow us to make more
informed choices about the data structures that we use in aggregations.
None of those interesting choices come as part of this change, but they
are more possible with it.
This is a minor refactor where the job node load logic (node availability, etc.) is refactored into its own class.
This will allow future things (i.e. autoscaling decisions) to use the same node load detection class.
backport of #61521
This commit addresses two issues:
- per class feature importance is now written out for binary classification (logistic regression)
- The `class_name` in per class feature importance now matches what is written in the `top_classes` array.
backport of https://github.com/elastic/elasticsearch/pull/61597
- don't do encoding of asynchExecutionId if it is already provided in
the encoded form
- create a new instance of AsyncExecutionId after checks for
correctness are done
If the master node of the follower cluster is busy, then the
auto-follower will fail to initialize the following process. This also
occurs when an auto-follow pattern matches multiple indices. We should
set the timeout of put-follow requests issued by the auto-follower to
unbounded to avoid this problem.
Closes#56891
We leverage artifact transforms now when downloading and unpacking elasticsearch distributions.
This has the benefit of
- handcrafted extract tasks on the root project are not required.
- The general tight coupling to the root project has been removed.
- The overall required configurations required to handle a distribution have been reduced
- ElasticsearchDistribution has been simplified by making Extracted an ordinary Configuration
downloaded and unpacked external distributions are reused in later builds by been cached
in the gradle user home.
DistributionDownloadPlugin functional tests have been extended and ported
to DistributionDownloadPluginFuncTest.
* Fix ElasticsearchNode#getDistributionFiles (#61219)
Fixes#61647
Jim Ferenczi
Rory Hunter
David Roberts
David Kyle
Alan Woodward
Andrei Dan
Julie Tibshirani
James Rodewig
Igor Motov
Rene Groeschke
Tim Brooks
Armin Braun
Nik Everett
Tanguy Leroux
Dimitris Athanasiou
Dan Hermann
Ioannis Kakavas
Boice Huang
Lisa Cawley
Benjamin Trent
Adam Locke
Jason Tedor
Mayya Sharipova
Nhat Nguyen