Adds anomaly detection jobs jobs to an existing machine learning calendar.
The API accepts a
PutCalendarJobRequest and responds
PutCalendarJobRequest is constructed referencing a non-null
calendar ID, and JobIDs to which to add to the calendar
PutCalendarResponse contains the updated calendar:
When executing a
PutCalendarJobRequest in the following manner, the client waits
PutCalendarResponse to be returned before continuing with code execution:
PutCalendarResponse response = client.machineLearning().putCalendarJob(request, RequestOptions.DEFAULT);
Synchronous calls may throw an
IOException in case of either failing to
parse the REST response in the high-level REST client, the request times out
or similar cases where there is no response coming back from the server.
In cases where the server returns a
5xx error code, the high-level
client tries to parse the response body error details instead and then throws
ElasticsearchException and adds the original
ResponseException as a
suppressed exception to it.
PutCalendarJobRequest can also be done in an asynchronous fashion so that
the client can return directly. Users need to specify how the response or
potential failures will be handled by passing the request and a listener to the
asynchronous put-calendar-job method:
The asynchronous method does not block and returns immediately. Once it is
ActionListener is called back using the
if the execution successfully completed or using the
onFailure method if
it failed. Failure scenarios and expected exceptions are the same as in the
synchronous execution case.
A typical listener for
put-calendar-job looks like: