Stops one or more data frame analytics jobs.
POST _ml/data_frame/analytics/<data_frame_analytics_id>/_stop
POST _ml/data_frame/analytics/<data_frame_analytics_id>,<data_frame_analytics_id>/_stop
POST _ml/data_frame/analytics/_all/_stop
Requires the manage_ml cluster privilege. This privilege is included in the
machine_learning_admin built-in role.
A data frame analytics job can be started and stopped multiple times throughout its lifecycle.
You can stop multiple data frame analytics jobs in a single API request by using a comma-separated list of data frame analytics jobs or a wildcard expression. You can stop all data frame analytics job by using _all or by specifying * as the <data_frame_analytics_id>.
-
<data_frame_analytics_id> - (Required, string) Identifier for the data frame analytics job. This identifier can contain lowercase alphanumeric characters (a-z and 0-9), hyphens, and underscores. It must start and end with alphanumeric characters.
-
allow_no_match -
(Optional, Boolean) Specifies what to do when the request:
- Contains wildcard expressions and there are no data frame analytics jobs that match.
-
Contains the
_allstring or no identifiers and there are no matches. - Contains wildcard expressions and there are only partial matches.
The default value is
true, which returns an emptydata_frame_analyticsarray when there are no matches and the subset of results when there are partial matches. If this parameter isfalse, the request returns a404status code when there are no matches or only partial matches. -
force - (Optional, Boolean) If true, the data frame analytics job is stopped forcefully.
-
timeout - (Optional, time units) Controls the amount of time to wait until the data frame analytics job stops. Defaults to 20 seconds.