I'm seeing situations where starting e.g. a 4th spark job on Mesos results in none of the jobs making progress. This happens even with --executor-memory set to values that should not come close to exceeding the availability per node, and even if the 4th job is doing something completely trivial (e.g. parallelize 1 to 10000 and sum). Killing one of the jobs typically allows the others to start proceeding.
While jobs are hung, I see the following in mesos master logs: I0820 19:28:02.651296 24666 master.cpp:2282] Sending 7 offers to framework 20140820-170154-1315739402-5050-24660-0020 I0820 19:28:02.654502 24668 master.cpp:1578] Processing reply for offers: [ 20140820-170154-1315739402-5050-24660-96624 ] on slave 20140724-150750-1315739402-5050-25405-6 (dn-04) for framework 20140820-170154-1315739402-5050-24660-0020 I0820 19:28:02.654722 24668 hierarchical_allocator_process.hpp:590] Framework 20140820-170154-1315739402-5050-24660-0020 filtered slave 20140724-150750-1315739402-5050-25405-6 for 1secs Am I correctly interpreting that to mean that spark is being offered resources, but is rejecting them? Is there a way (short of patching spark to add more logging) to figure out why resources are being rejected? This is on the default fine-grained mode.
