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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2019/03/04 01:35:26 UTC
[GitHub] [spark] smrosenberry commented on issue #23926:
[SPARK-26872][STREAMING] Use a configurable value for final termination in
the JobScheduler.stop() method
smrosenberry commented on issue #23926: [SPARK-26872][STREAMING] Use a configurable value for final termination in the JobScheduler.stop() method
URL: https://github.com/apache/spark/pull/23926#issuecomment-469089706
The problem is that the application currently only supports the `DStream` processing model and is difficult to modify for DataFrame processing. The issues with DStream monitored directories led to the workaround. The only thing holding back the workaround is the one hour hard coded limit currently in the code. Making that configurable provides a processing model that has merit in certain, albeit limited, use cases. Other than yet another configuration item, which I admit has cost, the changes are benign and beneficial.
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