I did some profiling of the new log parser sampler
last week and the performance was decent. the current
parser I wrote is fairly efficient, since it uses
bufferedReader to read one line at a time. Mike's
comments are accurate and new sampler wouldn't be able
to handle assertions and so on.
In the past I wrote a tool to convert netscape log to
jmeter requests, but I ran into a problem because
loading 5-10K requests in a test plan requires 1gig of
ram. If you're dealing with a large number of unique
requests to simulate production traffic, you may be
better off going with the log parser route. If not, a
simple conversion from CSV to jmeter requests is most
likely the best option.
good luck.
peter
--- Dan Yuen <dyuen408@yahoo.com> wrote:
> We are considering moving our application testing
> over
> to jMeter and are looking at how we would need to
> modify jMeter to fit our company needs.
> Specifically,
> we have a test generation tool that produces a csv
> file which contains, among other things, inputs for
> test cases (which I'm thinking would convert into
> Samplers) and expected outputs (which I'm thinking
> would get converted into Assertions for those
> Samplers).
>
> What would be the best way to convert the csv data
> into Samplers and Assertions? Are there certain
> classes that can easily be extended so that I can
> read
> a csv file and convert each line into a Sampler with
> associated Assertions and add them to my Test Plan?
> Or would it be much easier and quicker to just write
> a
> csv to jmx converter?
>
> It seems the latter would be quicker in the short
> run
> but would require running the converter as an
> intermediate step before we run jMeter. So, before
> we
> make a decision on which road to take, I'm trying to
> get my arms around what would be involved with
> extending jMeter to use the csv file directly.
>
> Can you help? If so, thanks for any
> advice/direction
> you can give.
>
> Dan Yuen
>
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