IMPORTANT: No additional bug fixes or documentation updates
will be released for this version. For the latest information, see the
current release documentation.
Delete data frame analytics jobs API
edit
A newer version is available. Check out the latest documentation.
Delete data frame analytics jobs API
editDeletes an existing data frame analytics job.
Request
editDELETE _ml/data_frame/analytics/<data_frame_analytics_id>
Prerequisites
editRequires the manage_ml cluster privilege. This privilege is included in the
machine_learning_admin built-in role.
Path parameters
edit-
<data_frame_analytics_id> - (Required, string) Identifier for the data frame analytics job.
Query parameters
edit-
force -
(Optional, Boolean) If
true, it deletes a job that is not stopped; this method is quicker than stopping and deleting the job. -
timeout - (Optional, time units) The time to wait for the job to be deleted. Defaults to 1 minute.
Examples
editThe following example deletes the loganalytics data frame analytics job:
resp = client.ml.delete_data_frame_analytics(
id="loganalytics",
)
print(resp)
response = client.ml.delete_data_frame_analytics( id: 'loganalytics' ) puts response
const response = await client.ml.deleteDataFrameAnalytics({
id: "loganalytics",
});
console.log(response);
DELETE _ml/data_frame/analytics/loganalytics
The API returns the following result:
{
"acknowledged" : true
}