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From Tyler Hobbs <ty...@datastax.com>
Subject Re: Write performance expectations...
Date Wed, 13 Feb 2013 16:06:30 GMT
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 <arodrime@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 <kadey@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/>

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