Hi Tien, There is no retry on the job level as we expect the user to retry, and as you mention we tolerate tasks retry already.
There is no request/limit type resource configuration that you described in Mesos (yet). So for 2) that’s not possible at the moment. Tim On Fri, Jul 6, 2018 at 11:42 PM Tien Dat <tphan....@gmail.com> wrote: > Dear all, > > We are running Spark with Mesos as the resource manager. We are interesting > in some aspect, such as: > > 1, Is it possible to configure a specific job with a number of maximum > retries? > I meant here is the retry at job level, NOT the /spark.task.maxFailures/ > which is for the task with a job. > > 2, Is it possible to set a job with a range of resource, such as: at least > 20 CPU cores, at most 30 CPU cores and at least 20GB of mem, at most 40GB? > > Thank you in advance. > > Best > Tien Dat > > > > -- > Sent from: http://apache-spark-user-list.1001560.n3.nabble.com/ > > --------------------------------------------------------------------- > To unsubscribe e-mail: user-unsubscr...@spark.apache.org > >
