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Hi Dave,
Based on what I've observed in our environment, there really isn't an
across-the-board answer. The main contributing factors are:
* How big your messages are
* How you're parsing the messages
* How many times you're parsing the messages
If you're parsing messages multiple times, obviously that will give you
some overhead. If you can do what you're doing in one pass, that's
certainly the most efficient.
I don't have any specific times, but we had to restructure some things
because of how we were constantly serializing/deserializing to strings
due to the toolkit (and usage model) we were using. It was killing us
from a timing point of view. Restructuring the way the message
processing was done and chaining things together using SAX filters, we
were able to get it reduced significantly.
So, I guess the short answer is: it depends. ;)
Hope this helps you a little.
ast
On Wed, 2006-03-22 at 21:19, David Carver wrote:
> This is a pretty general question, and I know that it can very from
> application to application, and even from parser to parser. However,
> I'm curious if anybody has any links to some performance tests that show
> the overall time a transaction takes to complete, and how much of that
> overall transaction time is devoted to parsing or validation of an XML
> file. Particularly, from retrieving an XML file from a data store, and
> then completing the end transaction.
>
> I've been requested to provide some numbers to show that actual XML
> validation results and parsing are a small portion of the overall
> transaction process, when dealing with XML in a B2B process. Any
> information that can be provided would be appreciated.
>
> Dave
>
>
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