Put anomaly detection jobs in calendar API
editPut anomaly detection jobs in calendar API
editAdds anomaly detection jobs jobs to an existing machine learning calendar.
The API accepts a PutCalendarJobRequest
and responds
with a PutCalendarResponse
object.
Put anomaly detection jobs in calendar request
editA PutCalendarJobRequest
is constructed referencing a non-null
calendar ID, and JobIDs to which to add to the calendar
Put anomaly detection jobs in calendar response
editThe returned PutCalendarResponse
contains the updated calendar:
Synchronous execution
editWhen executing a PutCalendarJobRequest
in the following manner, the client waits
for the 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 4xx
or 5xx
error code, the high-level
client tries to parse the response body error details instead and then throws
a generic ElasticsearchException
and adds the original ResponseException
as a
suppressed exception to it.
Asynchronous execution
editExecuting a 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
completed the ActionListener
is called back using the onResponse
method
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: