Sounds like you are using a single thread, so the increased latency is artificially reducing your numbers. Add more threads (stress.py uses 50 by default) to get more throughput. (Also true even for a single node, but more noticable when you add network overhead to the cluster.)
-Jonathan On Wed, Dec 16, 2009 at 8:06 AM, Richard Grossman <richie...@gmail.com> wrote: > Hi > > I think someone ask already similar but can't find where. > > On 1 machine standalone I insert data I get ~850 rows / second > On another machine I make exactly the same operation I get ~900/1000 rows / > second > > Now I remove all the data from the 2 machines. Take exactly the same > storage-conf.xml but just add seed in both file nothing else. > Make the insert I get ~90 rows / second. > > Someone have an idea why the performance could fall sharply like this. Or > simply give a hint what or where to check why it's happend > I've already checked network problem the 2 machines are identical. > > Thanks. > > >
