Github user kayousterhout commented on the pull request:
https://github.com/apache/spark/pull/186#issuecomment-38617628
With this solution, what happens to current running jobs?
@mateiz why not just throw a SparkException if the DAGScheduler gets an
exception? I thought that was how we generally handled unrecoverable problems
at the driver?
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
