Can you provide the python script that you're using? (I'm moving this thread to the pycassa mailing list ( pycassa-disc...@googlegroups.com), which is a better place for this discussion.)
On Thu, Jan 31, 2013 at 6:25 PM, Pradeep Kumar Mantha <pradeep...@gmail.com>wrote: > Hi, > > I am trying to benchmark cassandra on a 12 Data Node cluster using 16 > clients ( each client uses 32 threads) using custom pycassa client and YCSB. > > I found the maximum number of operations/seconds achieved using pycassa > client is nearly 70k+ reads/second. > Whereas with YCSB it is ~ 120k reads/second. > > Any thoughts, why I see this huge difference in performance? > > > Here is the description of setup. > > Pycassa client (a simple python script). > 1. Each pycassa client starts 4 threads - where each thread queries 76896 > queries. > 2. a shell script is used to submit 4threads/each core using taskset unix > command on a 8 core single node. ( 8 * 4 * 76896 queries) > 3. Another shell script is used to scale the single node shell script to > 16 nodes ( total queries now - 16 * 8 * 4 * 76896 queries ) > > I tried to keep YCSB configuration as much as similar to my custom pycassa > benchmarking setup. > > YCSB - > > Launched 16 YCSB clients on 16 nodes where each client uses 32 threads for > execution and need to query ( 32 * 76896 keys ), i.e 100% reads > > The dataset is different in each case, but has > > 1. same number of total records. > 2. same number of fields. > 3. field length is almost same. > > Could you please let me know, why I see this huge performance difference > and is there any way I can improve the operations/second using pycassa > client. > > thanks > pradeep > > -- Tyler Hobbs DataStax <http://datastax.com/>
