BytesRefHashTests and LongObjectHashMapTests currently extend ESSingleNodeTestCase,
which builds an entire node just to run some unit tests over entirely in-memory data
structures. This commit converts them both to extend ESTestCase.
Backport of #61904 to 7.x branch.
The eql search api redirects to the search api. For this reason the eql
search api could work with concrete data stream names. However if security
is enabled and a data stream name snippet with a wildcard was used then
it could not resolve this expressions. This is because the EqlSearchRequest
class didn't overwrite the `includeDataStreams()` method. This pr fixes this,
so that the security layer can properly expand data stream name wildcard
expressions for the eql search api.
This commit also moves the eql data stream test to xpack rest tests,
so that the test runs with security enabled. This is required to reproduce
the bug.
Closes#60828
FetchSubPhase has two 'execute' methods, one which takes all hits to be examined,
and one which takes a single HitContext. It's not obvious which one should be implemented
by a given sub-phase, or if implementing both is a possibility; nor is it obvious that we first
run the hitExecute methods of all subphases, and then subsequently call all the
hitsExecute methods.
This commit reworks FetchSubPhase to replace these two variants with a processor class,
`FetchSubPhaseProcessor`, that is returned from a single `getProcessor` method. This
processor class has two methods, `setNextReader()` and `process`. FetchPhase collects
processors from all its subphases (if a subphase does not need to execute on the current
search context, it can return `null` from `getProcessor`). It then sorts its hits by docid, and
groups them by lucene leaf reader. For each reader group, it calls `setNextReader()` on
all non-null processors, and then passes each doc id to `process()`.
Implementations of fetch sub phases can divide their concerns into per-request, per-reader
and per-document sections, and no longer need to worry about sorting docs or dealing with
reader slices.
FetchSubPhase now provides a FetchSubPhaseExecutor that exposes two methods,
setNextReader(LeafReaderContext) and execute(HitContext). The parent FetchPhase collects all
these executors together (if a phase should not be executed, then it returns null here); then
it sorts hits, and groups them by reader; for each reader it calls setNextReader, and then
execute for each hit in turn. Individual sub phases no longer need to concern themselves with
sorting docs or keeping track of readers; global structures can be built in
getExecutor(SearchContext), per-reader structures in setNextReader and per-doc in execute.
This commit adds a test to MapperTestCase that explicitly checks that a mapper can
serialize all its default values, and that this serialization can then be re-parsed. Note that
the test is disabled for non-parametrized mappers as their serialization may in some cases
output parameters that are not accepted. Gradually moving all mappers to parametrized
form will address this.
The commit also contains a fix to keyword mappers, which were not correctly serializing
the similarity parameter; this partially addresses #61563. It also enables `null` as a
value for `null_value` on `scaled_float`, as a follow-up to #61798
We frequently use `long`s with `BitArray` in aggs and right now we have
to assert that the `long` fits in an `int`. This adds support for `long`
to `BitArray` so we don't need those assertions.
This fixes a bug introduced by #61782. In that PR I thought I could
simplify the persistence of progress by using the progress straight
from the stats holder in the task instead of calling the get
stats action. However, I overlooked that it is then possible to
have stale progress for the reindexing task as that is only updated
when the get stats API is called.
In this commit this is fixed by updating reindexing task progress
before persisting the job progress. This seems to be much more
lightweight than calling the get stats request.
Closes#61852
Backport of #61868
Search could leak memory if global ordinals were calculated as part of
a search with low level cancellation enabled. QueryPhase registers a
cancellation on the reader that is never removed, which ends up being
referenced from the global ordinals cache entry. This keeps an indirect
reference to the search context. A significant leak can occur when a
heavy aggregation (cardinality for instance) is used and a failure occurs
during search, in particular if the pages backing the hyperlog++ structure
are not recycled when it is closed.
This commit also fixes an issue with an unclosed resource and request
breaker adjustment in the cardinality aggregation.
For 1/2 the plugins in x-pack, the integTest
task is now a no-op and all of the tests are now executed via a test,
yamlRestTest, javaRestTest, or internalClusterTest.
This includes the following projects:
security, spatial, stack, transform, vecotrs, voting-only-node, and watcher.
A few of the more specialized qa projects within these plugins
have not been changed with this PR due to additional complexity which should
be addressed separately.
related: #60630
related: #56841
related: #59939
related: #55896
For 1/2 the plugins in x-pack, the integTest
task is now a no-op and all of the tests are now executed via a test,
yamlRestTest, javaRestTest, or internalClusterTest.
This includes the following projects:
async-search, autoscaling, ccr, enrich, eql, frozen-indicies,
data-streams, graph, ilm, mapper-constant-keyword, mapper-flattened, ml
A few of the more specialized qa projects within these plugins
have not been changed with this PR due to additional complexity which should
be addressed separately.
A follow up PR will address the remaining x-pack plugins (this PR is big enough as-is).
related: #61802
related: #56841
related: #59939
related: #55896
While starting the data frame analytics process it is possible
to get an exception before the process crash handler is in place.
In addition, right after starting the process, we check the process
is alive to ensure we capture a failed process. However, those exceptions
are unhandled.
This commit catches any exception thrown while starting the process
and sets the task to failed with the root cause error message.
I have also taken the chance to remove some unused parameters
in `NativeAnalyticsProcessFactory`.
Relates #61704
Backport of #61838
Allow filtering through a pipe, across events and sequences.
Filter pipes are pushed down to base queries.
For now filtering after limit (head/tail) is forbidden as the
semantics are still up for debate.
Fix#59763
(cherry picked from commit 80569a388b76cecb5f55037fe989c8b6f140761b)
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.