Flink streaming: how to control the execution time

谁说我不能喝 提交于 2020-01-06 05:54:40

问题


Spark streaming provides API for termination awaitTermination(). Is there any similar API available to gracefully shut down flink streaming after some t seconds?


回答1:


Your driver program (i.e. the main method) in Flink doesn't stay running while the streaming job executes. Your program should define a dataflow, call execute, and then terminate. In Spark, the driver program stays running (AFAIK), and awaitTermination relates to that.

Note that a Flink streaming dataflow continues to execute indefinitely, unless you're using a 'bounded' data source with a finite number of elements. You may also cancel or stop a job, and even take a checkpoint upon stopping to be resumed from later.



来源:https://stackoverflow.com/questions/45330102/flink-streaming-how-to-control-the-execution-time

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