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
