Github user kayousterhout commented on the issue: https://github.com/apache/spark/pull/15505 Thanks for adding the unit test but it doesn't quite cover the case Imran brought up: can you write a test for when the LaunchTasks call includes tasks from multiple task sets, one with tasks that should fail (because they're not serializable) and one with tasks that should successfully be serialized and launched? (and I'm concerned a bug still exists around this case) One way to do this is to directly instantiate a CoarseGrainedSchedulerBackend and pass in a mocked TaskSchedulerImpl. Then you can call RegisterExecutor to register an executor, and then call ReviveOffers (and have your mocked TaskSchedulerImpl return tasks for two different task sets).
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