Use *spark.cores.max* to limit the CPU per job, then you can easily accommodate your third job also.
Thanks Best Regards On Tue, Jun 23, 2015 at 5:07 PM, Wojciech Pituła <w.pit...@gmail.com> wrote: > I have set up small standalone cluster: 5 nodes, every node has 5GB of > memory an 8 cores. As you can see, node doesn't have much RAM. > > I have 2 streaming apps, first one is configured to use 3GB of memory per > node and second one uses 2GB per node. > > My problem is, that smaller app could easily run on 2 or 3 nodes, instead > of 5 so I could lanuch third app. > > Is it possible to limit number of nodes(executors) that app wil get from > standalone cluster? >
