I am accessing a shared cluster mode Spark environment. However, there is an existing application (SparkSQL/Thrift Server), running under a different user, that occupies all available cores. Please see attached screenshot to get an idea about current resource utilization.
Is there a way I can use this application to submit my jobs (under different user than mapr) without restarting this app with reduced number of cores (spark.deploy.defaultCores)? What could be optimal solution for this type of resource sharing issues? Fari Scheduler or any other approach? - http://spark.apache.org/docs/latest/job-scheduling.html#scheduling-within-an-application [image: Inline image 1] \[image: Inline image 3]
