I've found the following idiom useful:
${__CSVRead(data_file.txt,${__Random(1,500,)})}
This way, the data that's picked from the file is random, and if it's a large enough
file, that
might solve your problem.
Another way to do it would be to break the data file into a number of pieces equal to
the
number of remote machines you have.
-Mike
On 26 Aug 2003 at 9:29, [EMAIL PROTECTED] wrote:
>
>
>
>
> Hi,
>
> I'm using JMeter to load test a web app and need to simulate a number of
> users logging on and saving some data. To get the load that we need I have
> to use a number of machines using the remote testing model which is causing
> some problems with the db updates. Because each machine uses the same data
> file for their userid's and passwords each machine starts off with the same
> userid and gets concurrent update problems when they access the db.
>
> What I'd like to do is either back each machine off for a random period so
> that the chances of this are reduced or ideally get each machine to start
> at a random spot in the user parameters file so they each pick up a
> different userid. Has onyone done something similar to this or have any
> ideas on how I could get this to work. I'm using the CSVREAD function to
> read the user parameters from the file
>
> Thanks
>
> Andrew
>
>
>
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Michael Stover
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