The Stop Datafeed API provides the ability to stop a machine learning datafeed in the cluster.
It accepts a
StopDatafeedRequest object and responds
StopDatafeedRequest object is created referencing any number of non-null
_all are also accepted.
All other fields are optional for the request.
The following arguments are optional.
When executing a
StopDatafeedRequest in the following manner, the client waits
StopDatafeedResponse to be returned before continuing with code execution:
StopDatafeedResponse response = client.machineLearning().stopDatafeed(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.
StopDatafeedRequest 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 stop-datafeed 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
stop-datafeed looks like: