Increasing max failures is a way to do it, but it's probably a better idea to keep your tasks from failing in the first place. Are your tasks failing with exceptions from Spark or your application code? If from Spark, what is the stack trace? There might be a legitimate Spark bug such that even increasing this max failures won't fix your problem.
2014-12-05 5:12 GMT-08:00 Daniel Darabos <daniel.dara...@lynxanalytics.com>: > It is controlled by "spark.task.maxFailures". See > http://spark.apache.org/docs/latest/configuration.html#scheduling. > > On Fri, Dec 5, 2014 at 11:02 AM, shahab <shahab.mok...@gmail.com> wrote: > >> Hello, >> >> By some (unknown) reasons some of my tasks, that fetch data from >> Cassandra, are failing so often, and apparently the master removes a tasks >> which fails more than 4 times (in my case). >> >> Is there any way to increase the number of re-tries ? >> >> best, >> /Shahab >> > >
