* ILM action to wait for SLM policy execution (#50454)
This change add new ILM action to wait for SLM policy execution to ensure that index has snapshot before deletion.
Closes#45067
* Fix flaky TimeSeriesLifecycleActionsIT#testWaitForSnapshot test
This change adds some randomness and cleanup step to TimeSeriesLifecycleActionsIT#testWaitForSnapshot and testWaitForSnapshotSlmExecutedBefore tests in attempt to make them stable.
Reletes to #50781
* Formatting changes
* Longer timeout
* Fix Map.of in Java8
* Unused import removed
* Refresh cached phase policy definition if possible on new policy
There are some cases when updating a policy does not change the
structure in a significant way. In these cases, we can reread the
policy definition for any indices using the updated policy.
This commit adds this refreshing to the `TransportPutLifecycleAction`
to allow this. It allows us to do things like change the configuration
values for a particular step, even when on that step (for example,
changing the rollover criteria while on the `check-rollover-ready` step).
There are more cases where the phase definition can be reread that just
the ones checked here (for example, removing an action that has already
been passed), and those will be added in subsequent work.
Relates to #48431
This commit changes the default behavior for
xpack.security.ssl.diagnose.trust when running in a FIPS 140 JVM.
More specifically, when xpack.security.fips_mode.enabled is true:
- If xpack.security.ssl.diagnose.trust is not explicitly set, the
default value of it becomes false and a log message is printed
on info level, notifying of the fact that the TLS/SSL diagnostic
messages are not enabled when in a FIPS 140 JVM.
- If xpack.security.ssl.diagnose.trust is explicitly set, the value of
it is honored, even in FIPS mode.
This is relevant only for 7.x where we support Java 8 in which
SunJSSE can still be used as a FIPS 140 provider for TLS. SunJSSE
in FIPS mode, disallows the use of other TrustManager implementations
than the one shipped with SunJSSE.
* [ML][Inference] PUT API (#50852)
This adds the `PUT` API for creating trained models that support our format.
This includes
* HLRC change for the API
* API creation
* Validations of model format and call
* fixing backport
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
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
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
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 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
#43007 restructured the SQL REST API docs so they display across several pages.
This updates up a reference that assumes a single page in the "Paginating through a large response" section. It also reformats a tip for the Kibana console.
Closes#50688
The docs/reference/redirects.asciidoc file stores a list of relocated or
deleted pages for the Elasticsearch Reference documentation.
This prunes several older redirects that are no longer needed.
If `geo_point fields` are multi-valued, using `geo_centroid` as a
sub-agg to `geohash_grid` could result in centroids outside of bucket
boundaries.
This adds a related warning to the geo_centroid agg docs.
We have about 800 `ObjectParsers` in Elasticsearch, about 700 of which
are final. This is *probably* the right way to declare them because in
practice we never mutate them after they are built. And we certainly
don't change the static reference. Anyway, this adds `final` to these
parsers.
I found the non-final parsers with this:
```
diff \
<(find . -type f -name '*.java' -exec grep -iHe 'static.*PARSER\s*=' {} \+ | sort) \
<(find . -type f -name '*.java' -exec grep -iHe 'static.*final.*PARSER\s*=' {} \+ | sort) \
2>&1 | grep '^<'
```
Adds a `force` parameter to the delete data frame analytics
request. When `force` is `true`, the action force-stops the
jobs and then proceeds to the deletion. This can be used in
order to delete a non-stopped job with a single request.
Closes#48124
Backport of #50553
This intervals source will return terms that are similar to an input term, up to
an edit distance defined by fuzziness, similar to FuzzyQuery.
Closes#49595