Previously we excluded requiring licenses for dependencies with the
group name org.elasticsearch under the assumption that these use the
top-level Elasticsearch license. This is not always correct, for
example, for the org.elasticsearch:jna dependency as this is merely a
wrapper around the upstream JNA project, and that is the license that we
should be including. A recent change modified this check from using the
group name to checking only if the dependency is a project
dependency. This exposed the use of JNA in SQL CLI to this check, but
the license for it was not added. This commit addresses this by adding
the license.
Relates #58015
This has `EnsembleInferenceModel` not parse feature_names from the XContent.
Instead, it will rely on `rewriteFeatureIndices` to be called ahead time.
Consequently, protections are made for a fail fast path if `rewriteFeatureIndices` has not been called before `infer`.
We were previously configuring BWC testing tasks by matching on task
name prefix. This naive approach breaks down when you have versions like
1.0.1 and 1.0.10 since they both share a common prefix. This commit
makes the pattern matching more specific so we won't inadvertently
spin up the wrong cluster version.
Before #57042 the max_buckets test would consistently pass because the
request would consistently fail. In particular, the request would fail on
the data node. After #57042 it only fails on the coordinating node. When
the max_buckets test is run in a mixed version cluster it consistently
fails on *either* the data node or the coordinating node. Except when
the coordinating node is missing #43095. In that case if the one data
node has #57042 and one does not, *and* the one that doesn't gets the
request first, fails it as expected, and then the coordinating node
retries the request on the node with #57042. When that happens the
request fails mysteriously with "partial shard failures" as the error
message but not partial failures reported. This is *exactly* the bug
fixed in #43095.
This updates the test to be skipped in mixed version clusters without
#43095 because they *sometimes* fail the test spuriously. The request
fails in those cases, just like we expect, but with a mysterious error
message.
Closes#57657
By default we filter out projects from dependencies info task based on their
group names. We should be filtering based on if the dependency is a project
dependency.
Changes:
* Adds new 'Reindex with a data stream' section to 'Use a data stream'
* Makes the existing reindex API docs aware of data streams
* Rewrites the reindex glossary definition to include data streams
Co-authored-by: James Rodewig <james.rodewig@elastic.co>
Co-authored-by: István Zoltán Szabó <istvan.szabo@elastic.co>
Co-authored-by: Tim Vernum <tim@adjective.org>
Co-authored-by: lcawl <lcawley@elastic.co>
We keep a static list of meta-fields: META_FIELDS_BEFORE_7_8
as it was before.
This is done to ensure the backwards compatability with pre 7.8 nodes.
Closes#57831
If `ExtraFS` decides to put `extra0/0` into the indices folder
then the previous logic in this test would have interpreted the `0`
as shard `0` of index `extra0` and fail to list its contents (since it's a file
and not an actual shard directory).
=> simplified the logic to use actually referenced `IndexId` for iterating over indices
instead.
Scheduling on the threadpool will throw if the scheduler is already
shut down. Handled by treating the rejection like any other non-retryable
exception.
Closes#58021
This moves the code to look up significance heuristics information like
background frequency and superset size out of
`SignificantTermsAggregatorFactory` and into its own home so that it is
easier to pass around. This will:
1. Make us feel better about ourselves for not passing around the
factory, which is really *supposed* to be a throw away thing.
2. Abstract the significance lookup logic so we can reuse it for the
`significant_text` aggregation.
3. Make if very simple to cache the background frequencies which should
speed up when the agg is a sub-agg. We had done this for numerics
but not string-shaped significant terms.
This type of result will store stats about how well categorization
is performing. When per-partition categorization is in use, separate
documents will be written for every partition so that it is possible
to see if categorization is working well for some partitions but not
others.
This PR is a minimal implementation to allow the C++ side changes to
be made. More Java side changes related to per-partition
categorization will be in followup PRs. However, even in the long
term I do not see a major benefit in introducing dedicated APIs for
querying categorizer stats. Like forecast request stats the
categorizer stats can be read directly from the job's results alias.
Backport of #57978
Backport of #57870 to 7.x branch.
This change now also copies the op_type from the reindex request's destination index request to the actual index request being used in the bulk request.
For ensuring no document exists, the op_type create doesn't need to be copied, since Versions.MATCH_DELETED will copied from the 'mainRequest.getDestination().version()'.
The `version()` method on IndexRequest only returns Versions.MATCH_DELETED if op_type=create and no specific version has been specified.
However in order to be able to index into a data stream, the op_type must be create. So in order to support that the op_type must be copied from the reindex request's destination index request to the actual index request being used in the bulk request.
Relates to #53100 and #57788
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.
Dan Hermann
Jason Tedor
Benjamin Trent
Mark Vieira
Nik Everett
James Rodewig
James Baiera
Ryan Ernst
Matthias Gärtner
Rory Hunter
Mayya Sharipova
Ignacio Vera
Armin Braun
Martijn van Groningen
Rene Groeschke
David Roberts
markharwood
David Kyle
Mark Tozzi
Igor Motov
Lee Hinman
Lisa Cawley
Jim Ferenczi
Yannick Welsch
David Turner
Alan Woodward