Alan,
I load a tcf for every taf I run. Could I
include this in the On_Create and On_Destroy methods of the tcf?
Thanks
Steve Fogelson
Internet Commerce Solutions
From: Alan Wolfe
[mailto:[EMAIL PROTECTED]
Sent: Tuesday, October 04, 2005
12:15 AM
To: [email protected]
Subject: Re: Witango-Talk: Witango
crashing on load
something you might try too is a variation of a technique we have used in our system to better track crashes. we dont have a crashing problem but we do have a crash every now and then.
what we did was make a table in the database called "Benchmarks", which had an autoincrementing ID, a text description, a start timestamp and a stop timestamp.
At the top of every taf file, insert a row into benchmarks, using the name of the taf file (<@appfile>) for the description field and <@currenttimestamp> for the start timestamp.
Store the ID generated in a local var
At the bottom of each taf file, update the row in benchmarks by id, setting the stop timestamp to <@currenttimestamp>.
as is probably obvious, what this will do is let you know which taf files are crashing and which arent (well atleast you will be able to see requests that don't finish) by identifying rows which have a blank stop timestamp.
If there is one consistant .taf file that continualy crashes you will know where your problem may lay.
If the problem isn't apparent, you can log more things in the benchmark table to help your investigation, such as vars and their values.
using <@varnames> and looping through the results for each scope, storing the names of all variables and their values in a large text field (as well as <@argnames>) might give you alot of clues in what's going on and causing the crash.
Even if it is witango or your database software crashing, this should atleast be able to help you help either software company to help find and resolve the issue, or atleast give you a workaround.
When we did this we found right away a couple problem peices of code, and what else is neat is we added a column that computes stoptime-starttime so we can see what requests take longest and optomize them as needed.
Hope this helps!
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