* There is no point in hsyncing after every individual write since there is only value in completely written blobs for restores, this is ensures by the `SYNC` flag already and there is no need for separately invoking `hsync` after individual writes
* The static threadpool leaks a lot of memory in these tests because it prevents things like the connect listeners from `org.elasticsearch.transport.TcpTransport#initiateConnection`
to be GCed between tests (since they keep being referenced by the threadpool) which in turn reference channels and their underlying buffers
* I could not find any slowdown in executing these tests from this change, if anything they are slightly faster now on my machine
* Relates #36906 (which may be caused by slowness from leaking memory and also becomes testable in a loop by this change)
Removes the `xpack.ml.max_model_memory_limit` cluster setting
at the teardown of the `ml_info.yml` tests to ensure the setting
does not trip other tests.
Enhance error message for the case that the 2nd argument of PERCENTILE
and PERCENTILE_RANK is not a foldable, as it doesn't make sense to have
a dynamic value coming from a field.
Fixes: #36903
Types can be used both in the source and dest section of the body which will
be translated to search and index requests respectively. Adding a deprecation warning
for those cases and removing examples using more than one type in reindex since
support for this is going to be removed.
The `composite` aggregation uses a TreeMap to keep track of the best buckets.
This ensures a log(n) time cost to insert new buckets but also to retrieve buckets
that are already present in the map. In order to speed up the retrieval of buckets
this change replaces the TreeMap with a priority queue and a HashMap. The insertion
cost is still log(n) but the retrieval of buckets through the HashMap is now done in constant
time. This optimization can bring significant improvement since each document needs
to check if its associated buckets are already present in the current best buckets.
There are a handful of examples in the ILM documentation that could result in
rolling over indices more quickly than we might normally recommend,
contributing to over-sharding in cases where the examples are copied without
modification. This change makes some numbers bigger to try and avoid this.
With this commit we rename `node.store.allow_mmapfs` to
`node.store.allow_mmap`. Previously this setting has controlled whether
`mmapfs` could be used as a store type. With the introduction of
`hybridfs` which also relies on memory-mapping,
`node.store.allow_mmapfs` also applies to `hybridfs` and thus we rename
it in order to convey that it is actually used to allow memory-mapping
but not a specific store type.
Relates #36668
Relates #37070
We run subsequent token invalidation requests and we still want to
trigger the deletion of expired tokens so we need to lower the
deleteInterval parameter significantly. Especially now that the
bwc expiration logic is removed and the invalidation process is
much shorter
Resolves#37063
The QueryStringQueryBuilder does not currently delegate to the field mapper's prefixQuery
method, so does not use indexed prefixes. This commit corrects this.
It also fixes a bug where a query a* would not match the word a if indexed prefixes were used with
a minchar setting of 2.
When executing terms aggregations we set the shard_size, meaning the
number of buckets to collect on each shard, to a value that's higher than
the number of requested buckets, to guarantee some basic level of
precision. We have an optimization in place so that we leave shard_size
set to size whenever we are searching against a single shard, in which
case maximum precision is guaranteed by definition.
Such optimization requires us access to the total number of shards that
the search is executing against. In the context of cross-cluster search,
once we will introduce multiple reduction steps (one per cluster) each
cluster will only know the number of local shards, which is problematic
as we should only optimize if we are searching against a single shard in a
single cluster. It could be that we are searching against one shard per cluster
in which case the current code would optimize number of terms causing
a loss of precision.
While discussing how to address the CCS scenario, we decided that we do
not want to introduce further complexity caused by this single shard
optimization, as it benefits only a minority of cases, especially when
the benefits are not so great.
This commit removes the single shard optimization, meaning that we will
always have heuristic enabled on how many number of buckets to collect
on the shards, even when searching against a single shard.
This will cause more buckets to be collected when searching against a single
shard compared to before. If that becomes a problem for some users, they
can work around that by setting the shard_size equal to the size.
Relates to #32125
With #36221 we introduced shards counting to address a rare failure.
This caused a worse problem in this test when replicas were allocated
and shards failures were randomly returned. The latch has to take into
account additional attempts caused by the shard failures, which means
that in order for run to be called, performPhaseOnShard will be called
(numShards + numFailures) times.
To address this, we need to decide upfront which shard is going to fail,
making sure that at least one shards is successful otherwise the whole
request fails.
Closes#37074
With this commit we introduce a new store type `hybridfs` that is a
hybrid between `mmapfs` and `niofs`. This store type chooses different
strategies to read Lucene files based on the read access pattern (random
or linear) in order to optimize performance.
This store type has been available in earlier versions of Elasticsearch
as `default_fs`. We have chosen a different name now in order to convey
the intent of the store type instead of tying it to the fact whether it
is the default choice.
Relates #36668
SearchAsyncActionTests may fail with RejectedExecutionException as InitialSearchPhase may try to execute a runnable after the test has successfully completed, and the corresponding executor was already shut down. The latch was located in getNextPhase that is almost correct, but does not cover for the last finishAndRunNext round that gets executed after onShardResult is invoked.
This commit moves the latch to count the number of shards, and allowing the test to count down later, after finishAndRunNext has been potentially forked. This way nothing else will be executed once the executor is shut down at the end of the tests.
Closes#36221Closes#33699
Changes the feature usage retrieval to use the job manager rather than
directly talking to the cluster state, because jobs can now be either in
cluster state or stored in an index
This is a follow-up of #36702 / #36698
* Fixes the issue reproduced in the added tests:
* When having open index requests on a shard that are waiting for a refresh, relocating that shard
becomes blocked until that refresh happens (which could be never as in the test scenario).
Lisa Cawley
David Kyle
David Roberts
Armin Braun
Benjamin Trent
Dimitris Athanasiou
Marios Trivyzas
Christoph Büscher
Nhat Nguyen
Jim Ferenczi
David Turner
Daniel Mitterdorfer
Nick Knize
Ioannis Kakavas
David Findley
Ke Li
Alan Woodward
Julie Tibshirani
Luca Cavanna
Josh Soref
Przemyslaw Gomulka
Abdullah DURSUN
Alexis Wilke
Peter Lyons
Andrei Stefan
Hendrik Muhs