Can you please provide a snippet of your DOM tree traversing code. It is
hard to see what the problem is if we do not know what you are doing.

Regards
Erik

> -----Original Message-----
> From: Nath [mailto:[EMAIL PROTECTED]
> Sent: den 25 maj 2004 19:07
> To: [EMAIL PROTECTED]
> Subject: Repost: Xerces XML performance problems
> 
> I had a mix-up in mailing lists, so I'm reposting my question here
(with
> some amendments to make it clearer) for any assistance.
> 
> 
> 
> 
> I converted over a dictionary of words and definitions into XML files
(one
> file per letter of the alphabet), each weighing around 1-5 megs (I
chose
> XML
> for storage and extensibility reasons). I'm trying to access node
> information from these files and it's taking an incredible amount of
time
> to
> do it. When acquiring node information from small files (letters X, Y,
and
> Z - a total of 815 words or 151 KB) the DOM document returns results
> somewhat quickly and I can process the entire tree in less than 2
seconds.
> When parsing the letter A file (11,000 some words or 1.58 megs), it
takes
> 5
> seconds just to process 20 word nodes (see below for a typical word
node).
> It seems the larger the XML file (ie: the more nodes within), the
longer
> it
> takes to process all the nodes. Granted there's obviously going to be
more
> time involved, but between the 2 files I've tested, there doesn't seem
to
> be
> a linear process-time relationship. Can anyone suggest why this is
> happening
> and how I can fix it? I've used xerces c++ 2.4.0 and recently upgraded
to
> xerces c++ 2.5.0.
> 
> 
> I'm just following the standard XML start-up and DOM parsing procedure
> - Initialize platform utils
> - Don't validate files
> - parse and assign DOM document (fast)
> - go through each child node and collect data (slow)
> 
> 
> 
> The dictionary format is simply:
> 
> <dictionary>
> 
> <word>
> 
> <name>whatever</name>
> 
> <def> 1 </def>
> 
> <def> 2 </def>
> 
> 
> 
> </word>
> 
> 
> 
> </dictionary>
> 
> I have a 1600MHz processor, so handling a few meg files should be
fairly
> quick. I've also tried parsing the file with SAX, albeit the
performance
> is
> a tad better, the end result is still a lengthy wait.
> 
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