* [DOCS] First draft of ML getting started tutorial
* [DOCS] More ML getting started content
* [DOCS] Getting started content for data feeds
* [DOCS] Added ML getting started screenshot
Original commit: elastic/x-pack-elasticsearch@73174d27e8
This commit removes the SecuredString class that was previously used throughout the security code
and replaces it with the SecureString class from core that was added as part of the new secure
settings infrastructure.
relates elastic/x-pack-elasticsearch#421
Original commit: elastic/x-pack-elasticsearch@e9cd117ca1
When a index name pattern contains both date math and wildcards, the name resolution does not
return the expected result. This change moves the date math resolution to before our attempts to
match wildcards so that both can be used in the same pattern.
relates elastic/x-pack-elasticsearch#1065
Original commit: elastic/x-pack-elasticsearch@9f48b42fad
let close job and stop datafeed apis redirect to elected master node.
This is for cluster state observation purposes, so that a subsequent open and then close job or
start and then stop datafeed see the same local cluster state and sanity validation doesn't fail.
Original commit: elastic/x-pack-elasticsearch@21a63184b9
introduced separate task names to register the persistent tasks executors and params.
Also renamed start and stop datafeed action names to be singular in order to be consistent with open and close action names.
Original commit: elastic/x-pack-elasticsearch@21f7b242cf
Support for default settings has been removed in core and so some
methods were refactored. This commit responds to this change in core.
Original commit: elastic/x-pack-elasticsearch@b22c612de4
The path has changed so it’s no longer possible to distinguish between data feed and job tasks.
The preceding test get_datafeed provides ample coverage anyway.
Original commit: elastic/x-pack-elasticsearch@780b1beb6b
When the execute watch API is called without recording the execution
in the watch history, the watch status is not updated, in order to not
divert the in-memory object status and the one persisted on disk.
In order to work around this issue, the execute watch API can simply
clone a new watch status and a new watch, which means the object in
the watch store is never updated. This allows for execution and changing
of the watch status, before it is returned to the client.
relates elastic/x-pack-elasticsearch#889
Original commit: elastic/x-pack-elasticsearch@6a0d9c9a78
Changes persistent task serialization and forces params and status to have the same writeable name as the task itself.
Original commit: elastic/x-pack-elasticsearch@59cf3dca39
remove `node.attr.max_running_jobs` node attribute and use `node.attr.ml.enabled` node attribute instead to know whether a node is a ml node or not.
Also renamed `max_running_jobs` setting to `xpack.ml.max_running_jobs`.
Original commit: elastic/x-pack-elasticsearch@798732886b
Removes the last pieces of ActionRequest from PersistentTaskRequest and renames it into PersistTaskParams, which is now just an interface that extends NamedWriteable and ToXContent.
Original commit: elastic/x-pack-elasticsearch@5a298b924f
Following this change, if the user runs on a platform that we don't ship
ML binaries for:
* If ML is enabled the node still refuses to start, but clearly says why
* If ML is disabled the node starts up without logging any errors
Original commit: elastic/x-pack-elasticsearch@af4fb8c411
Now that task id are strings instead of longs (elastic/x-pack-elasticsearch#1035), ml can use the job and datafeed as task id.
This removes logic that would otherwise iterate over all tasks and check if the task's request id was equal to the provided id and instead just do lookup in the task map.
Job and datafeed task ids are prefixed with either 'job-' or 'datafeed-', because job and datafeed ids don't have to be unique as they are stored separately from each other.
Original commit: elastic/x-pack-elasticsearch@b48c2b368a