Hello, One thing that comes up a lot every LSF is the fact that we have no general way that we do performance testing. Every fs developer has a set of scripts or things that they run with varying degrees of consistency, but nothing central that we all use. I for one am getting tired of finding regressions when we are deploying new kernels internally, so I wired this thing up to try and address this need. We all hate convoluted setups, the more brain power we have to put in to setting something up the less likely we are to use it, so I took the xfstests approach of making it relatively simple to get running and relatively easy to add new tests. For right now the only thing this framework does is run fio scripts. I chose fio because it already gathers loads of performance data about it's runs. We have everything we need there, latency, bandwidth, cpu time, and all broken down by reads, writes, and trims. I figure most of us are familiar enough with fio and how it works to make it relatively easy to add new tests to the framework. I've posted my code up on github, you can get it here https://github.com/josefbacik/fsperf All (well most) of the results from fio are stored in a local sqlite database. Right now the comparison stuff is very crude, it simply checks against the previous run and it only checks a few of the keys by default. You can check latency if you want, but while writing this stuff up it seemed that latency was too variable from run to run to be useful in a "did my thing regress or improve" sort of way. The configuration is brain dead simple, the README has examples. All you need to do is make your local.cfg, run ./setup and then run ./fsperf and you are good to go. The plan is to add lots of workloads as we discover regressions and such. We don't want anything that takes too long to run otherwise people won't run this, so the existing tests don't take much longer than a few minutes each. I will be adding some more comparison options so you can compare against averages of all previous runs and such. Another future goal is to parse the sqlite database and generate graphs of all runs for the tests so we can visualize changes over time. This is where the latency measurements will be more useful so we can spot patterns rather than worrying about test to test variances. Please let me know if you have any feedback. I'll take github pull requests for people who like that workflow, but email'ed patches work as well. Thanks, Josef
