David Anderson commented on FLINK-4828:

It's not clear to me what this would do to the output from the taskmanager 
that's going to stdout. 

> 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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