How do I run more than one spark streaming job in dataproc cluster? I created multiple queues using capacity-scheduler.xml but now I will need 12 queues if I want to run 12 different streaming - aggregate applications. Any idea?
Running more than spark streaming job in Google dataproc
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Dataproc 1.2 image enabled fair mode in capacity scheduler which should do what you want without overhead of queues [1] [2].
[1] https://docs.hortonworks.com/HDPDocuments/HDP2/HDP-2.3.4/bk_yarn_resource_mgt/content/flexible_scheduling_policies.html
[2] https://community.hortonworks.com/questions/19342/yarn-fair-sharing-ordering-policy-for-capacity-sch.html