David Anderson created FLINK-4828:
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Summary: execute stream job asynchronously
Key: FLINK-4828
URL: https://issues.apache.org/jira/browse/FLINK-4828
Project: Flink
Issue Type: New Feature
Components: DataStream API
Reporter: David Anderson
It is currently awkward to work with datastreams in a notebook (e.g. Zeppelin
or Jupyter) because env.execute() never returns, and there is no way to control
the job that has been started. It would be much better to have a variant like
env.executeAsync() that executes the job in another thread, and returns right
away. This method should return an object that can be used to cancel or stop
the job.
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