def get_job_client(self):
"""
For DML and DQL statement, return the JobClient which associates the submitted Flink job.
For other statements (e.g. DDL, DCL) return empty.
:return: The job client, optional.
:rtype: pyflink.common.JobClient
"""
job_client = self._j_table_result.getJobClient()
if job_client.isPresent():
return JobClient(job_client.get())
else:
return None
def execute_async(self, job_name: str = 'Flink Streaming Job') -> JobClient:
"""
Triggers the program asynchronously. The environment will execute all parts of the program
that have resulted in a "sink" operation. Sink operations are for example printing results
or forwarding them to a message queue.
The program execution will be logged and displayed with a generated default name.
:param job_name: Desired name of the job.
:return: A JobClient that can be used to communicate with the submitted job, completed on
submission succeeded.
"""
j_stream_graph = self._generate_stream_graph(clear_transformations=True, job_name=job_name)
j_job_client = self._j_stream_execution_environment.executeAsync(j_stream_graph)
return JobClient(j_job_client=j_job_client)
