* [DOCS] Reformats delete by query API (#46051)
* Reformats delete by query API
* Update docs/reference/docs/delete-by-query.asciidoc
Co-Authored-By: James Rodewig <james.rodewig@elastic.co>
* Updated common parms includes.
* [DOCS] Fixed issue in Common Parms.
Refresh the setup for the new versions of DbVisualizer and SQL
Workbench/J which have Elasticsearch JDBC support out of the box.
(cherry picked from commit 6d257194c1055d060505e0faaaa37b41e21699f5)
The _cat/health call in getting-started assumes that the master task max
wait time is always 0 (-), however, the test could sometimes run into a
short wait time (like some ms). Fixed to allow this.
While the plugin installation directory used to be settable, it has not
been so for several major versions. This commit removes a lingering
reference to the plugins directory in upgrade docs.
closes#45889
This commit introduces PKI realm delegation. This feature
supports the PKI authentication feature in Kibana.
In essence, this creates a new API endpoint which Kibana must
call to authenticate clients that use certificates in their TLS
connection to Kibana. The API call passes to Elasticsearch the client's
certificate chain. The response contains an access token to be further
used to authenticate as the client. The client's certificates are validated
by the PKI realms that have been explicitly configured to permit
certificates from the proxy (Kibana). The user calling the delegation
API must have the delegate_pki privilege.
Closes#34396
This adds support for verifying that snippets with the `console-result`
language are valid json. It also switches the response snippets on the
`docs/get` page from `js` to `console-result` which will allow clients
to provide "alternatives" for them like they can now do with
`// CONSOLE` snippets.
This adds a pipeline aggregation that calculates the cumulative
cardinality of a field. It does this by iteratively merging in the
HLL sketch from consecutive buckets and emitting the cardinality up
to that point.
This is useful for things like finding the total "new" users that have
visited a website (as opposed to "repeat" visitors).
This is a Basic+ aggregation and adds a new Data Science plugin
to house it and future advanced analytics/data science aggregations.
Previously, the stats API reports a progress percentage
for DF analytics tasks that are running and are in the
`reindexing` or `analyzing` state.
This means that when the task is `stopped` there is no progress
reported. Thus, one cannot distinguish between a task that never
run to one that completed.
In addition, there are blind spots in the progress reporting.
In particular, we do not account for when data is loaded into the
process. We also do not account for when results are written.
This commit addresses the above issues. It changes progress
to being a list of objects, each one describing the phase
and its progress as a percentage. We currently have 4 phases:
reindexing, loading_data, analyzing, writing_results.
When the task stops, progress is persisted as a document in the
state index. The stats API now reports progress from in-memory
if the task is running, or returns the persisted document
(if there is one).
Customers occasionally discover a known behavior in Elasticsearch's pagination that does not appear to be documented. This warning is intended to educate customers of this behavior while still highlighting alternative solutions.
Ryan Ernst
James Rodewig
debadair
Zachary Tong
István Zoltán Szabó
Costin Leau
Henning Andersen
Tal Levy
Lisa Cawley
Dimitris Athanasiou
Albert Zaharovits
Jake Landis
Nik Everett
Jason Tedor
Nathan Howard