This commit removes validation logic of source and dest indices
for data frame analytics and replaces it with using the common
`SourceDestValidator` class which is already used by transforms.
This way the validations and their messages become consistent
while we reduce code.
This means that where these validations fail the error messages
will be slightly different for data frame analytics.
Backport of #50841
* Fix Snapshot Shard Status Request Deduplication
The request deduplication didn't actually work for these requests
since they had no `equals` and `hashCode` so the deduplicator wouldn't
actually recognize equal requests.
Replaces the "funny"
`Function<String, ConstructingObjectParser<T, Void>>` with a much
simpler `ConstructingObjectParser<T, String>`. This makes pretty much
all of our object parsers static.
* Fix Snapshot Repository Corruption in Downgrade Scenarios (#50692)
This PR introduces test infrastructure for downgrading a cluster while interacting with a given repository.
It fixes the fact that repository metadata in the new format could be written while there's still older snapshots in the repository that require the old-format metadata to be restorable.
A very large number of recursive calls can cause a stack overflow
exception. This commit forks the recursive calls for non-async
processors. Once forked, each thread will handle at most 10
recursive calls to help keep the stack size and thread count
down to a reasonable size.
Adds support for the `offset` parameter to the `date_histogram` source
of composite aggs. The `offset` parameter is supported by the normal
`date_histogram` aggregation and is useful for folks that need to
measure things from, say, 6am one day to 6am the next day.
This is implemented by creating a new `Rounding` that knows how to
handle offsets and delegates to other rounding implementations. That
implementation doesn't fully implement the `Rounding` contract, namely
`nextRoundingValue`. That method isn't used by composite aggs so I can't
be sure that any implementation that I add will be correct. I propose to
leave it throwing `UnsupportedOperationException` until I need it.
Closes#48757
This adds the necessary named XContent classes to the HLRC for the lang ident model. This is so the HLRC can call `GET _ml/inference/lang_ident_model_1?include_definition=true` without XContent parsing errors.
The constructors are package private as since this classes are used exclusively within the pre-packaged model (and require the specific weights, etc. to be of any use).
If a pipeline referenced by a transform does not exist, we should not allow the transform to be created.
We do allow the pipeline existence check to be skipped with defer_validations, but if the pipeline still does not exist on `_start`, the pipeline will fail to start.
relates: #50135
It's impossible to tell why #50754 fails without this change.
We're failing to close the `exchange` somewhere and there is no
write timeout in the GCS SDK (something to look into separately)
only a read timeout on the socket so if we're failing on an assertion without
reading the full request body (at least into the read-buffer) we're locking up
waiting forever on `write0`.
This change ensure the `exchange` is closed in the tests where we could lock up
on a write and logs the failure so we can find out what broke #50754.
This test replaces the watch index after watcher got started.
This triggers watches being reloaded and while this happens the
trigger engine is paused, which disallows watches from being
triggered. At this time there are no watches in the .watches
index and I think this is just unlucky timing.
Reloading of watches happens in the background and
the watch state can be started when that happens.
For normal schedule trigger engines this is not an issue,
because watches that are meant to be triggered are triggered
when the engine triggers the next time. However for the
mock scheduled trigger engine this is different,
because watches are triggered programatically and
there is no retry in this test.
I think just adding `timeWarp().trigger("mywatch");` inside
a `assertBusy(...)`` is the right fix here. If it fails
because the mock schedule trigger engine is paused then
the test will try again. In the mean time the the watches
can be reloaded, which then resumes the mock scheduled trigger engine.
Closes#50658
Previously, the following situation would throw an error:
* A search contains a `collapse` on a particular field.
* The search spans multiple indices, and in one index the field is mapped as a
concrete field, but in another it is a field alias.
The error occurs when we attempt to merge `CollapseTopFieldDocs` across shards.
When merging, we validate that the name of the collapse field is the same across
shards. But the name has already been resolved to the concrete field name, so it
will be different on shards where the field was mapped as an alias vs. shards
where it was a concrete field.
This PR updates the collapse field name in `CollapseTopFieldDocs` to the
original requested field, so that it will always be consistent across shards.
Note that in #32648, we already made a fix around collapsing on field aliases.
However, we didn't test this specific scenario where the field was mapped as an
alias in only one of the indices being searched.
Currently, if an updateable synonym filter is included in a multiplexer filter,
it is not reloaded via the _reload_search_analyzers because the multiplexer
itself doesn't pass on the analysis mode of the filters it contains, so its not
recognized as "updateable" in itself. Instead we can check and merge the
AnalysisMode settings of all filters in the multiplexer and use the resulting
mode (e.g. search-time only) for the multiplexer itself, thus making any synonym
filters contained in it reloadable. This, of course, will also make the
analyzers using the multiplexer be usable at search-time only.
Closes#50554
This commits makes the "init" ILM step retryable. It also adds a test
where an index is created with a non-parsable index name and then fails.
Related to #48183
strict_date_optional_time changes to have optional minute part.
It already allowed optional second and fraction of second part.
This allows parsing 2018-01-01T00+01 , 2018-01-01T00:00+01 , 2018-01-01T00:00:00+01 , 2018-01-01T00:00:00.000+01
It won't allow parsing a timezone without an hour part as this is not allowed by iso8601 spec
closes#49351
Adds a 'text analysis overview' page to the analysis topic docs.
The goals of this page are:
* Concisely summarize the analysis process while avoiding in-depth concepts, tutorials, or API examples
* Explain why analysis is important, largely through highlighting problems with full-text searches missing analysis
* Highlight how analysis can be used to improve search results
ElasticsearchException.guessRootCauses would return wrapper exception if
inner exception was not an ElasticsearchException. Fixed to never return
wrapper exceptions.
At least following APIs change root_cause.0.type as a result:
_update with bad script
_index with bad pipeline
Relates #50417
The Analysis docs mention including a default analyzer in the index settings. However, no example snippet is included.
This adds an example snippet that users can easily copy and adjust.
This solves half of the problem in #46813 by moving the S3
tests to using the shared minio fixture so we at least have
some non-3rd-party, constantly running coverage on these tests.
This PR adds per-field metadata that can be set in the mappings and is later
returned by the field capabilities API. This metadata is completely opaque to
Elasticsearch but may be used by tools that index data in Elasticsearch to
communicate metadata about fields with tools that then search this data. A
typical example that has been requested in the past is the ability to attach
a unit to a numeric field.
In order to not bloat the cluster state, Elasticsearch requires that this
metadata be small:
- keys can't be longer than 20 chars,
- values can only be numbers or strings of no more than 50 chars - no inner
arrays or objects,
- the metadata can't have more than 5 keys in total.
Given that metadata is opaque to Elasticsearch, field capabilities don't try to
do anything smart when merging metadata about multiple indices, the union of
all field metadatas is returned.
Here is how the meta might look like in mappings:
```json
{
"properties": {
"latency": {
"type": "long",
"meta": {
"unit": "ms"
}
}
}
}
```
And then in the field capabilities response:
```json
{
"latency": {
"long": {
"searchable": true,
"aggreggatable": true,
"meta": {
"unit": [ "ms" ]
}
}
}
}
```
When there are no conflicts, values are arrays of size 1, but when there are
conflicts, Elasticsearch includes all unique values in this array, without
giving ways to know which index has which metadata value:
```json
{
"latency": {
"long": {
"searchable": true,
"aggreggatable": true,
"meta": {
"unit": [ "ms", "ns" ]
}
}
}
}
```
Closes#33267
In order to ensure that logstash and Elasticsearch are able to understand
the same patterns, this commit adapts to changes in logstash, adds a few
patterns and changes a few.
Introduce a new static setting, `gateway.auto_import_dangling_indices`, which prevents dangling indices from being automatically imported. Part of #48366.
This makes the "update-rollover-lifecycle-date" step, which is part of the
rollover action, retryable. It also adds an integration test to check the
step is retried and it eventually succeeds.
(cherry picked from commit 5bf068522deb2b6cd2563bcf80f34fdbf459c9f2)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
Dimitris Athanasiou
Armin Braun
Christoph Büscher
debadair
Mark Vieira
Julie Tibshirani
Nik Everett
Matt Braymer-Hayes
Lisa Cawley
Jake Landis
Sean Story
Benjamin Trent
István Zoltán Szabó
Martijn van Groningen
Ioannis Kakavas
Jason Tedor
James Rodewig
Lee Hinman
Przemyslaw Gomulka
Nhat Nguyen
Henning Andersen
Adrien Grand
Valentin Crettaz
blueSky1825821
Alexander Reelsen
Yannick Welsch
Rory Hunter
Andrei Dan