You can look at http://spark.apache.org/docs/1.2.0/job-scheduling.html
I would go with mesos http://spark.apache.org/docs/1.2.0/running-on-mesos.html Thanks Best Regards On Tue, Feb 10, 2015 at 2:59 PM, matha.harika <matha.har...@gmail.com> wrote: > Hi, > > I have a cluster setup with three slaves, 4 cores each(12 cores in total). > When I try to run multiple applications, using 4 cores each, only the first > application is running(with 2,1,1 cores used in corresponding slaves). > Every > other application is going to WAIT state. Following the solution provided > here > < > http://apache-spark-user-list.1001560.n3.nabble.com/Spark-Worker-Core-Allocation-td7188.html > > > I set the parameter spark.deploy.spreadout to false. But the problem is not > solved. > > Any suggestion in this regard is welcome. > > Thanks in advance > > Harika > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/How-to-efficiently-utilize-all-cores-tp21569.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > >
