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https://issues.apache.org/jira/browse/CASSANDRA-542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Scott White updated CASSANDRA-542:
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Attachment: stress.patch
> stress.py enhancements
> ----------------------
>
> Key: CASSANDRA-542
> URL: https://issues.apache.org/jira/browse/CASSANDRA-542
> Project: Cassandra
> Issue Type: Improvement
> Reporter: Scott White
> Priority: Minor
> Fix For: 0.5
>
> Attachments: stress.patch
>
>
> this patch makes the following improvements over the existing stress.py (with
> the patch in CASSANDRA-514):
> 1) uses a shared memory array to rectify the fact that with the multiproc
> change in CASSANDRA-514 the updates to the op counts are not getting pooled
> correctly
> 2) optionally allows the client to do round robin requests thus preventing
> cassandra from having to take on extra load balancing requests
> 3) refactors code so there is no duplicate code making it easier to support
> any new operations people may want to add
> 4) stress.py can now be used to generate performance graphs. It adds one new
> field which is the total number of operations completed for each interval
> which is required to show aggregate performance across intervals. It also
> does an append so that data points can be collected for each interval.
> Furthermore, the date foramt is now CSV so for easy import into Excel, R, etc.
> Generating performance graphs can be generated in 5 easy steps:
> 1. nosetests --tests=system.stress:Stress.insert &
> 2. tail -f /tmp/progress_insert (just to watch and make sure it's working)
> 3. fire up R (www.r-project.org/)
> 4. w = read.table("/tmp/progress_insert",sep=",")
> 5. plot(w[,3]/60,w[,2],ylim=c(0,10000),xlab="Elapsed time
> (minutes)",ylab="Writes / sec", type='l')
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