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
inc
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 wrote:
> Hello,
>
> By some (unknown) reasons some of my tasks, that fetch data from
> Cassandra, are failing so often, and apparently the
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
