Github user mridulm commented on the pull request:
https://github.com/apache/spark/pull/1360#issuecomment-53164487
Take a look at 'spark.scheduler.executorTaskBlacklistTime' in
TaskSetManager.
Since I run mostly in yarn-cluster mode, and there is only single
application there; I was not sure how relevant black-listing was in your case
actually ! (multiple apps via standalone I guess ?)
Note that we actually need a third case, which is not yet handled, slow
executors/stragglers - particularly for low latency stages, they really kill
execution times for some of our ML jobs (a 50x speedup becomes much much lower
due to these).
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