Previously force closing a job required extra privileges. Following
the full discussion about what privileges should be required.
Original commit: elastic/x-pack-elasticsearch@4d85314b35
* Removed OPENING and CLOSING job states. Instead when persistent task has been created and
status hasn't been set then this means we haven't yet started, when the executor changes it to STARTED we have.
The coordinating node will monitor cs for a period of time until that happens and then returns or times out.
* Refactored job close api to go to node running job task and close job there.
* Changed unexpected job and datafeed exception messages to not mention the state and instead mention that job/datafeed haven't yet started/stopped.
Original commit: elastic/x-pack-elasticsearch@37e778b585
* Changed ML action names to allow distinguishing of admin and read-only actions
using wildcards
* Added manage_ml and monitor_ml built-in privileges as subsets of the existing
manage and monitor privileges
* Added out-of-the-box machine_learning_admin and machine_learning_user roles
* Changed machine learning results endpoints to use a NodeClient rather than an
InternalClient when searching for results so that index/document level permissions
applied to ML results are respected
Original commit: elastic/x-pack-elasticsearch@eee800aaa8
David Roberts
Martijn van Groningen
Ryan Ernst