2500 inserts per second is about what a single python thread using pycassa can do against a local node. Are you using multiple threads for the inserts? Multiple processes?
On Wed, Feb 13, 2013 at 8:21 AM, Alain RODRIGUEZ <arodr...@gmail.com> wrote: > Is there a particular reason for you to use EBS ? Instance Store > are recommended because they improve performances by reducing the I/O > throttling. > > An other thing you should be aware of is that replicating the data to all > node reduce your performance, it is more or less like if you had only one > node (at performance level I mean). > > Also, writing to different datacenters probably induce some network > latency. > > You should give the EC2 instance type (m1.xlarge / m1.large / ...) if you > want some feedback about the 2500 w/s, and also give the mean size of your > rows. > > Alain > > > 2013/2/13 <ka...@comcast.net> > > Hello, >> New member here, and I have (yet another) question on write >> performance. >> >> I'm using Apache Cassandra version 1.1, Python 2.7 and Pycassa 1.7. >> >> I have a cluster of 2 datacenters, each with 3 nodes, on AWS EC2 using >> EBS and the RandomPartioner. I'm writing to a column family in a keyspace >> that's replicated to all nodes in both datacenters, with a consistency >> level of LOCAL_QUORUM. >> >> I'm seeing write performance of around 2500 rows per second. >> >> Is this in the ballpark for this kind of configuration? >> >> Thanks in advance. >> >> Ken.... >> >> > -- Tyler Hobbs DataStax <http://datastax.com/>
