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>
When a search phase fails, we release the context of all successful shards.
Successful shards that rewrite the request to match none will not create any context
since #. This change ensures that we don't try to release a `null` context on these
successful shards.
Closes#57945
Ensures that InternalClusterInfoService's internally cached stats are refreshed whenever the
shard size or disk usage function (to mock out disk usage) are overridden.
Closes#57888
Changes:
* Updates 'Data streams' intro page to focus on problem solution and
benefits.
* Adds 'Data streams overview' page to cover conceptual information,
based on existing content in the 'Data streams' intro.
* Adds diagrams for data streams and search/indexing request examples.
* Moves API jump list and API docs to a new 'Data streams APIs' section.
Links to these APIs will be available through tutorials.
* Add xrefs to existing docs for concepts like generation, write index,
and append-only.
Changes:
* Condenses and relocates the `docvalue_fields` example to the 'Run a search'
page.
* Adds docs for the `docvalue_fields` request body parameter.
* Updates several related xrefs.
Co-authored-by: debadair <debadair@elastic.co>
Today `InternalEngine#releaseIndexCommit` fails with an
`AlreadyClosedException` if the engine is closed before the index commit is
released. This can happen if, for example, a node leaves and rejoins the
cluster and acquires an index commit for replica shard allocation concurrently
with shutting the shard down.
There's no need to fail the operation like this: if the engine is shut down
then we will clean up the unreferenced files when it's restarted (or if it's
allocated elsewhere) so we can suppress an `AlreadyClosedException` in this
case. This commit does so.
Fixes#57797
We document that the cluster state API is an internal representation which may
change, but apparently not emphatically enough. This commit adds a `NOTE:`
admonition to this paragraph.
Per 49554 I added standard deviation sampling and variance sampling to the extended stats interface.
Closes#49554
Co-authored-by: Igor Motov <igor@motovs.org>
Co-authored-by: andrewjohnson2 <aj114114@gmail.com>
When reducing `auto_date_histogram` we were using `Rounding#round`
which is quite a bit more expensive than
```
Rounding.Prepared prepared = rounding.prepare(min, max);
long result = prepared.round(date);
```
when rounding to a non-fixed time zone like `America/New_York`. This
stops using the former and starts using the latter.
Relates to #56124
Now that annotations are part of the anomaly detection job results
the annotations index should be refreshed on flushing and closing
the job so that flush and close continue to fulfil their contracts
that immediately after returning all results the job generated up
to that point are searchable.
ModelLoadingService only caches models if they are referenced by an
ingest pipeline. For models used in search we want to always cache the
models and rely on TTL to evict them. Additionally when an ingest
pipeline is deleted the model it references should not be evicted if
it is used in search.
Search after is a better choice for the delete expired data iterators
where processing takes a long time as unlike scroll a context does not
have to be kept alive. Also changes the delete expired data endpoint to
404 if the job is unknown
This commit re-enables windows testing for archives packaging tests.
These were disabled previously because of constant failure due to
windows file locks, but the failure does not occur outside of CI, so
they are being re-enabled to further investigate the failure.
relates #50825
Reworks the `parent` and `child` aggregation are not at the top level
using the optimization from #55873. Instead of wrapping all
non-top-level `parent` and `child` aggregators we now handle being a
child aggregator in the aggregator, specifically by adding recording
which global ordinals show up in the parent and then checking if they
match the child.
Creates a new page for a 'Set up a data stream' tutorial, based on
existing content in 'Data streams'.
Also adds tutorials for:
* Configuring an ILM policy for a data stream
* Indexing documents to a data stream
* Searching a data stream
* Manually rolling over a data stream
Since we change the memory estimates for data frame analytics jobs from worst case to a realistic case, the strict less-than assertion in the test does not hold anymore. I replaced it with a less-or-equal-than assertion.
Backport or #57882
Use the the hack used in `CorruptedBlobStoreRepositoryIT` in more snapshot
failure tests to verify that BwC repository metadata is handled properly
in these so far not-test-covered scenarios.
Also, some minor related dry-up of snapshot tests.
Relates #57798
Adds assertions to Netty to make sure that its threads are not polluted by thread contexts (and
also that thread contexts are not leaked). Moves the ClusterApplierService to use the system
context (same as we do for MasterService), which allows to remove a hack from
TemplateUgradeService and makes it clearer that applying CS updates is fully executing under
system context.
If a node is disconnected we retry. It does not make sense
to retry the recovery if the node is removed from the cluster though.
=> added a CS listener that cancels the recovery for removed nodes
Also, we were running the retry on the `SAME` pool which for each retry will
be the scheduler pool. Since the error path of the listener we use here
will do blocking operations when closing the resources used by the recovery
we can't use the `SAME` pool here since not all exceptions go to the `ActionListenerResponseHandler`
threading like e.g. `NodeNotConnectedException`.
Closes#57585
In ff9e8c622427d42a2d87b4ceb298d043ae3c4e6a we changed the format
used when serializing snapshot failures in the cluster state and
`SnapshotInfo`. This turned them from a short string holding all the
nested exception messages into a multi kb stacktrace in many cases.
This is not great if you snapshot a large number of shards that all fail
for example and massively blows up the size of the GET snapshots response
if there are snapshots with failures in there.
This change reverts to the format used for exceptions before the above commit.
Also, this change short circuits logging and serialization of the failure
for an aborted snapshot where we don't care about the specific message at all
and aligns the message to "aborted" in all cases (current if we aborted before any IO,
it would have been "aborted" and an exception when aborting later during IO).
When Joni, the regex engine that powers grok emits a warning it
does so by default to System.err. System.err logs are all bucketed
together in the server log at WARN level. When Joni emits a warning,
it can be extremely verbose, logging a message for each execution
again that pattern. For ingest node that means for every document
that is run that through Grok. Fortunately, Joni provides a call
back hook to push these warnings to a custom location.
This commit implements Joni's callback hook to push the Joni warning
to the Elasticsearch server logger (logger.org.elasticsearch.ingest.common.GrokProcessor)
at debug level. Generally these warning indicate a possible issue with
the regular expression and upon creation of the Grok processor will
do a "test run" of the expression and log the result (if any) at WARN
level. This WARN level log should only occur on pipeline creation which
is a much lower frequency then every document.
Additionally, the documentation is updated with instructions for how
to set the logger to debug level.
Previously, hidden indices were not included in snapshots by default, unless
specified using one of the usual methods for doing so: naming indices directly,
using index patterns starting with a ., or specifying expand_wildcards to
a value that includes hidden (e.g. all or hidden,open).
This commit changes the default expand_wildcards value to include hidden
indices.
Fixed two newly introduced issues with rollover:
1. Using auto-expand replicas, rollover could result in unexpected log
messages on future indexes.
2. It did a reroute and other heavy work on the network thread.
Closes#57706
Supersedes #57865
Relates #53965
Allow a field inside the data to be used as a tie breaker for events
that have the same timestamp.
The field is optional by default.
If used, the tie-breaker always requires a non-null value since it is
used inside `search_after` which requires a non-null value.
Fix#56824
(cherry picked from commit e5719ecb474b32730d93afdbb6834a32b0b2df8b)
Allow for optimistic concurrency control during ingest by checking the
sequence number and primary term. This is accomplished by defining
_if_seq_no and _if_primary_term in the pipeline, similarly to _version
and _version_type.
Closes#41255
Co-authored-by: Maria Ralli <mariai.ralli@gmail.com>
The shrink action creates a shrunken index with the target number of shards.
This makes the shrink action data stream aware. If the ILM managed index is
part of a data stream the shrink action will make sure to swap the original
managed index with the shrunken one as part of the data stream's backing
indices and then delete the original index.
(cherry picked from commit 99aeed6acf4ae7cbdd97a3bcfe54c5d37ab7a574)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
This commit fixes a bug on the composite aggregation when the index
is sorted and the primary composite source needs to round values (date_histo).
In such case, we cannot take into account the subsequent sources even if they
match the index sort because the rounding of the primary sort value may break
the original index order.
Fixes#57849
This deprecates `Rounding#round` and `Rounding#nextRoundingValue` in
favor of calling
```
Rounding.Prepared prepared = rounding.prepare(min, max);
...
prepared.round(val)
```
because it is always going to be faster to prepare once. There
are going to be some cases where we won't know what to prepare *for*
and in those cases you can call `prepareForUnknown` and stil be faster
than calling the deprecated method over and over and over again.
Ultimately, this is important because it doesn't look like there is an
easy way to cache `Rounding.Prepared` or any of its precursors like
`LocalTimeOffset.Lookup`. Instead, we can just build it at most once per
request.
Relates to #56124
Cleans up the reference documentation for the following
search API parameters:
* `_source` query parameter
* `_source_excludes` query parameter
* `_source_includes` query parameter
* `_source` request body parameter
* `hits._source` response property
Currently it is possible for a transient network error to disrupt the
start recovery request from the remote to source node. This disruption
is racy with the recovery occurring on the source node. It is possible
for the source node to finish and clear its recovery. When this occurs,
the recovery cannot be reestablished and the "no two start" assertion
is tripped. This commit fixes this issue by allowing two starts if the
finalize request has been received.
Fixes#57416.
Currently, the translog ops request is reentrent when there is a mapping
update. The impact of this is that a translog ops ends up waiting on the
pre-existing listener and it is never completed. This commit fixes this
by introducing a new code path to avoid the idempotency logic.
Changes:
* Adds title abbreviation
* Adds Lucene link to description
* Adds standard headings
* Simplifies analyze example
* Simplifies analyzer example and adds contextual text
Benjamin Trent
Lee Hinman
Mark Vieira
Lisa Cawley
Jim Ferenczi
James Rodewig
Yannick Welsch
David Turner
Alan Woodward
Igor Motov
Nik Everett
David Roberts
David Kyle
Ryan Ernst
Costin Leau
Albert Zaharovits
Valeriy Khakhutskyy
Aleksandr Maus
Armin Braun
Andrei Dan
Hendrik Muhs
Russ Cam
Yang Wang
Simon
Jake Landis
Gordon Brown
Henning Andersen
Tim Brooks