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From "BAZLEY, Sebastian" <>
Subject RE: Using csv data as input
Date Fri, 31 Oct 2003 12:03:50 GMT
JMeter also has functions and variables, which can be used to parameterise
just about anything, including Samplers and Assertions.

If your test cases consist of lots of similar samples and assertions, and
the only variation is in the parameters to same, then you can create a
generic test plan, and feed it the required values from files at run-time.

We have run tests with up to 1 million different values. Most of the test
plans are relatively simple, with only a few samplers. The variable data is
held in several external files which we read using the _StringFromFile
function, often into a User Parameter form.

JMeter also has functions to get properties, and you can set properties on
the command line. It is very easy to write a generic test script that can be
run with any number of threads, and any number of loops, and with any
desired throughput and/or wait times.

There is also a BeanShell sampler, which may be useful - that can do
whatever java can do.
[I'll probably add a BeanShell Assertion element in due course.]

Are you mainly performing functional, or performance testing?

-----Original Message-----
From: []
Sent: 31 October 2003 01:51
To: JMeter Users List
Subject: Re: Using csv data as input

I see two good options for you:
1.  There is a new LogParser Sampler (and now a LogParser Controller soon to
be added) 
that reads access logs and creates HTTPSamplers on the fly.  The LogParser
and Generator 
are interfaces you could implement to parse your CSV files.  The downside
here is that it's not 
a great solution for load testing, since the parsing is somewhat heavy.  It
also doesn't support 
making assertions on the fly.
2. JMeter has routines to load .jmx files and convert them into JMeter
TestElement classes.  
You could implement a new loading mechanism that likewise reads your csv
files and creates 
TestElements.  To do this, you'd just have to make a new action class (like 
org.apache.jmeter.gui.action.Load) that does this - most of the code exists
and you can 
copy/extend it, but add your own file parsing.  You'd then also have to add
a new menu option 
(ie Open CSV, or something).  The downside here is that you'd be digging a
little deeper into 
the internals of JMeter's GUI system, which has a somewhat steep learning
curve.  It could 
also result in very high memory usage if you have large csv files that
represent many 
samplers and assertions.


On 30 Oct 2003 at 16:54, Dan Yuen 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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