* The TriggeredWatchStore now only has one method to put triggered
watches
* All code is async in TriggeredWatchStore, locking has been removed
* The dedicated WatchRecord.Fields interface has been removed
* TriggeredWatchTests integration test has been moved to a unit test
Original commit: elastic/x-pack-elasticsearch@bc4b5820fb
`index.mapper.single_type` will be removed in master. While there is still
one usage in the security template that we are working on, this change
will remove the remaining usage.
Original commit: elastic/x-pack-elasticsearch@6e7f63b9e0
I don't want to dig too closely into the ES integration yet because
it being fixed by Costin so instead I'll make an example for round
trip testing.
Original commit: elastic/x-pack-elasticsearch@4d8fbc571e
This is just a workaround at the moment, but allows to use
mustache if you only provide the `url` part of a request,
instead of scheme, port, path, host, etc.
Original commit: elastic/x-pack-elasticsearch@3a4aa26665
Turned on checkstyle but turned off line length for sql because
now is not the time. That caught a few things like redundant
modifiers, out of order modifiers, and multiple top level classes
per file. Fixing them gave me a great little tour. So I'm going to
go and do the same in the plugin code now.
Original commit: elastic/x-pack-elasticsearch@8b52d8845d
Big change here is that we start to use ES's base test clases for
testing. This should give us access to randomized testing and makes
sure that the reproduction lines are correct.
Original commit: elastic/x-pack-elasticsearch@bcab64a028
Make the projects more like the rest of Elasticsearch:
* Move integration tests from `itest` to `test`
* Make a build file per sql subproject
* Make sql work properly with elasticsearch-extra
Original commit: elastic/x-pack-elasticsearch@6fbb794f68
Every cluster state update resulted in a log message, that watcher
pauses execution. This has been fixed to only log, if there was an
actual state switch from executing to pausing, but do nothing if
there are no local shards anyway.
This will reduce the logging noise in tests a lot.
Original commit: elastic/x-pack-elasticsearch@32ab86610c
* Give kill a chance to kill the process before closing input
* Remove variable that can be refactored out
Original commit: elastic/x-pack-elasticsearch@42f7a3cece
The graph API needs to be able to search in remote indices. Although it uses the Search API to perform the search and so doesn’t need to deal with remote indexes directly, the security feature needs to know it can be used with remote indexes so it knows to include remote indices in the list of indices accessible from the API for index level security
Original commit: elastic/x-pack-elasticsearch@e3cd84963e
This change removes all local security checks against remote cluster names.
Any user is allowed to attempt a cross-cluster search, and it is the responsibility of the remote cluster to authorise the search (or not).
This includes support for remote searches even if you have _no_ local search privileges.
Original commit: elastic/x-pack-elasticsearch@1620c3a8fa
* [DOCS] Add ML info about script fields
* [DOCS] Add links to ML script fields page
* [DOCS] Add ML API examples to transforms.asciidoc
* [DOCS] Addressed feedback in ML script field examples
* [DOCS] Add preview to ML script fields example
* [DOCS] Expanded code snippets in ML transform examples
* [DOCS] Add output for ML scripted fields example
* [DOCS] Add output for more ML scripted field examples
* [DOCS] Add output for final ML scripted field examples
* [DOC] Add Kibana details for ML script fields
* [DOCS] Remove example from ML transforms
Original commit: elastic/x-pack-elasticsearch@51057b029f
* [DOCS] Add configuration information for population analysis
* [DOCS] Add ML population analysis examples
* [DOCS] Address feedback for population analysis
* [DOCS] More feedback on population analysis
Original commit: elastic/x-pack-elasticsearch@ffa2bfeed9
Currently, aggregated datafeeds construct JSON from the aggregation
response by traversing all nested aggregations. In order to
achieve this, multiple leaf aggregations are not supported. Also,
scenarios it makes it impossible to effectively use pipeline
aggregations as it will not ignore the intermediate bucket
aggregations.
This commit refactors AggregationToJsonProcessor in order to
support the above scenarios. This is achieved by only converting
the fields of interest, that is the job analysis fields.
Original commit: elastic/x-pack-elasticsearch@8b575956ca