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