The Set Upgrade Mode API temporarily halts all machine learning job and datafeed tasks when
reported states remain unchanged. Consequently, when exiting upgrade mode the halted machine learning jobs and
datafeeds will return to their previous state.
It accepts a
SetUpgradeModeRequest object and responds with a
enabled=true, no new jobs can be opened, and no job or datafeed tasks will
be running. Be sure to set
enabled=false once upgrade actions are completed.
SetUpgradeModeRequest object gets created setting the desired
When executing a
SetUpgradeModeRequest in the following manner, the client waits
AcknowledgedResponse to be returned before continuing with code execution:
AcknowledgedResponse acknowledgedResponse = client.machineLearning().setUpgradeMode(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.
SetUpgradeModeRequest 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 set-upgrade-mode 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
set-upgrade-mode looks like: