Github user markhamstra commented on the pull request:
https://github.com/apache/spark/pull/228#issuecomment-38734617
I believe you still need to handle the DAGScheduler cases of: 1) locally
run jobs (and their on-completion cleanup); and 2) aborted stages.
---
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.
---
