As part of the "ML in Spaces" project, access to the ML UI in
Kibana is migrating to being controlled by Kibana privileges.
The ML UI will check whether the logged-in user has permission
to do something ML-related using Kibana privileges, and if they
do will call the relevant ML Elasticsearch API using the Kibana
system user. In order for this to work the kibana_system role
needs to have administrative access to ML.
Backport of #58061
Forgot the brackets here in #58214 so in the rare case where the
first update seen by the listener doesn't match it will still remove
itself and never be invoked again -> timeout.
This builds an `auto_date_histogram` aggregator that natively aggregates
from many buckets and uses it when the `auto_date_histogram` used to use
`asMultiBucketAggregator` which should save a significant amount of
memory in those cases. In particular, this happens when
`auto_date_histogram` is a sub-aggregator of a multi-bucketing aggregator
like `terms` or `histogram` or `filters`. For the most part we preserve
the original implementation when `auto_date_histogram` only collects from
a single bucket.
It isn't possible to "just port the aggregator" without taking a pretty
significant performance hit because we used to rewrite all of the
buckets every time we switched to a coarser and coarser rounding
configuration. Without some major surgery to how to delay sub-aggs
we'd end up rewriting the delay list zillions of time if there are many
buckets.
The multi-bucket version of the aggregator has a "budget" of "wasted"
buckets and only rewrites all of the buckets when we exceed that budget.
Now that we don't rebucket every time we increase the rounding we can no
longer get an accurate count of the number of buckets! So instead the
aggregator uses an estimate of the number of buckets to trigger switching
to a coarser rounding. This estimate is likely to be *terrible* when
buckets are far apart compared to the rounding. So it also uses the
difference between the first and last bucket to trigger switching to a
coarser rounding. Which covers for the shortcomings of the bucket
estimation technique pretty well. It also causes the aggregator to emit
fewer buckets in cases where they'd be reduced together on the
coordinating node. This is wonderful! But probably fairly rare.
All of that does buy us some speed improvements when the aggregator is
a child of multi-bucket aggregator:
Without metrics or time zone: 25% faster
With metrics: 15% faster
With time zone: 22% faster
Relates to #56487
This commit bumps our JNA dependency from 4.5.1 to 5.5.0, so that we are
now on the latest maintained line, and pick up a large collection of bug
fixes that have accumulated.
The main improvement here is that the total expected
count of training rows in the test is calculated as the
sum of the training fraction times the cardinality of each
class (instead of the training fraction times the total doc count).
Also relaxes slightly the error bound on the uniformity test from 0.12
to 0.13.
Closes#54122
Backport of #58180
This was a really subtle bug that we introduced a long time ago.
If a shard snapshot is in aborted state but hasn't started snapshotting on a node
we can only send the failed notification for it if the shard was actually supposed
to execute on the local node.
Without this fix, if shard snapshots were spread out across at least two data nodes
(so that each data node does not have all the primaries) the abort would actually
never wait on the data nodes. This isn't a big deal with uuid shard generations
but could lead to potential corruption on S3 when using numeric shard generations
(albeit very unlikely now that we have the 3 minute wait there).
Another negative side-effect of this bug was that master would receive a lot more
shard status update messages for aborted shards since each data node not assigned
a primary would send one message for that primary.
We don't allow converting a data stream's writeable index into a searchable
snapshot. We are currently preventing swapping a data stream's write index
with the restored index.
This adds another step that will not proceed with the searchable snapshot action
until the managed index is not the write index of a data stream anymore.
(cherry picked from commit ccd618ead7cf7f5a74b9fb34524d00024de1479a)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
The dangling indices action is not a proper master node action so it does not
retry when executed while the cluster hasn't fully formed yet.
Since we use node restarts when setting up the dangling indices state we need
to manually ensure a fully formed cluster before moving on with the tests to avoid
failures.
Backport of #50920. Part of #48366. Implement an API for listing,
importing and deleting dangling indices.
Co-authored-by: David Turner <david.turner@elastic.co>
MappedFieldType is a combination of two concerns:
* an extension of lucene's FieldType, defining how a field should be indexed
* a set of query factory methods, defining how a field should be searched
We want to break these two concerns apart. This commit is a first step to doing this, breaking
the inheritance relationship between MappedFieldType and FieldType. MappedFieldType
instead has a series of boolean flags defining whether or not the field is searchable or
aggregatable, and FieldMapper has a separate FieldType passed to its constructor defining
how indexing should be done.
Relates to #56814
* Normalized prefix for rollover API (#57271)
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
Co-authored-by: Lee Hinman <lee@writequit.org>
It fixes the issue #53388
by normalizing prefix at index creation request itself
* Fix compilation for backport
Co-authored-by: Gaurav Chandani <chngau@amazon.com>
The leases issued by CCR keep one extra operation around on the leader shards. This is not
harmful to the leader cluster, but means that there's potentially one delete that can't be
cleaned up.
After an index has been deleted it may take some time to cancel all the
maintenance tasks such as RetentionLeaseSync, it's possible that the
task is already executing before the cancellation. This commit just
avoids logging a warning message for those scenarios.
Closes#57864
Backport of (#58098)
Today a mounted searchable snapshot defaults to having the same replica
configuration as the index that was snapshotted. This commit changes this
behaviour so that we default to zero replicas on these indices, but allow the
user to override this in the mount request.
Relates #50999
This commit adds an optional field, `description`, to all ingest processors
so that users can explain the purpose of the specific processor instance.
Closes#56000.
This commit introduces an optimization for inline scripts.
It keeps the compiled ingest script that the ScriptProcessor.Factory
has been creating for validation purposes. Previously, the Script Service's
cache was leveraged because it was the best way to handle caching of both
stored and inline scripts. Since inline scripts are so widely used in
Ingest Node, it is probably best to ensure we are using the pre-compiled version
from the beginning.
* Adding documentation for near real-time search.
* Adding link to NRT topic and clarifying some text.
* Adding diagrams and incorporating changes from David T.
Instead of serializing compilation using a plain lock / mutex combined with a double check, rely on the computeIfAbsent logic to prevent duplicated compilation of scripts. Made checkCompilationLimit to be thread-safe and lock free.
Backport: 865acad
Co-authored-by: Michael Bischoff <michael.bischoff@elastic.co>
This template was added for 7.0 for what I am guessing is a BWC issue related to deprecation
warnings. It unfortunately seems to cause failures because templates for these tests are not cleared
after the test (because these are upgrade tests).
Resolves#56363
Luca Cavanna
David Roberts
Dan Hermann
GeChenxin
Benjamin Trent
Armin Braun
Nik Everett
Ignacio Vera
Jason Tedor
Dimitris Athanasiou
Przemyslaw Gomulka
Andrei Dan
Przemysław Witek
Lisa Cawley
debadair
Przemko Robakowski
Mark Vieira
Stuart Tettemer
Rory Hunter
James Rodewig
Alan Woodward
Alan Woodward
Lee Hinman
Yannick Welsch
Francisco Fernández Castaño
David Turner
Tal Levy
Jake Landis
Adam Locke