David Anderson commented on FLINK-2313:


This would be super helpful when working with streams inside notebook 
environments (like Jupyter and Zeppelin). In the case of a local flink, could 
we still keep stdout connected to the notebook?

> Change Streaming Driver Execution Model
> ---------------------------------------
>                 Key: FLINK-2313
>                 URL: https://issues.apache.org/jira/browse/FLINK-2313
>             Project: Flink
>          Issue Type: Improvement
>          Components: Streaming
>            Reporter: Stephan Ewen
> I would propose the following change to the Streaming Execution Environment:
> When calling {{env.execute()}}, it does not block, but return an 
> {{ExecutionContext}} object. This execution context has various methods, that 
> allow you to control the execution:
>   - waitFor() -> Blocks until the job terminates, or the connection to the 
> JobManager is lost.
>   - stop() -> initiates a clean stop
>   - cancel() -> cancels the program
>   - setParallelism() -> Later: adjusts the parallelism of the program
> If this is voted as desirable, I would make a design how to do this...

This message was sent by Atlassian JIRA

Reply via email to