EC2 m1.xlarge or m3.xlarge ? You might find some of the new types with more
memory have better price-performance value. If you are on EC2 and are
colocating mapreduce with HBase, you'll want more RAM *and* vCPU I think.
the WALPlayer reducer running?
If you add "-XX:+HeapDumpOnOutOfMemoryError" to '
mapred.child.java.opts' then there might be a retrievable heap dump left
around on the worker nodes. Not sure the precise location offhand, pardon,
it's been a while since I've debugged mapreduce. You can then use jhat to
analyze the heap dump. The types of the top 10 or 20 most frequently
allocated objects would be interesting.
On Tue, Jul 22, 2014 at 9:58 AM, Tianying Chang <[EMAIL PROTECTED]> wrote:
Problems worthy of attack prove their worth by hitting back. - Piet Hein
(via Tom White)