I can not. I've already limited the number of cores to 10, so it gets 5 executors with 2 cores each...
wt., 23.06.2015 o 13:45 użytkownik Akhil Das <[email protected]> napisał: > 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 <[email protected]> > 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? >> > >
