This is more of an application architecture question than a mysql question. Though I'll
offer my two cents:
What are you going to do with the XML file? Write it to disk, so you can later read it,
and parse it just to get your result set back? That sounds a lot slower than fetching it
from mysql again. You can test it though -- write a script, time a bunch of iterations
and prove to yourself if it's a good idea or not.
Generally the way to optimize reading xml faster is to not do it.
IMO if you want caching then use something that was meant for it like memcached.
From: parasane@stripped [mailto:parasane@stripped] On Behalf Of Daniel Brown
Sent: Friday, July 10, 2009 9:37 AM
Cc: PHP; MYSQL General List
Subject: Re: [PHP] mysql cache query as xml
From my understanding of your question, your message (included
below in its entirety) is better sent to the MySQL General list, which
I've CC'd on this reply. If you haven't yet, please subscribe there
at mysql-subscribe@stripped to follow the thread for responses.
If I'm misunderstanding and you're asking a PHP-related question,
please rephrase your question.
[Full original message follows.]
On Fri, Jul 10, 2009 at 12:22,
> hi guys, i need some help by optimize the performance.
> my problem is that i need a lot of rows the whole site (don't ask i need the
> rows really :-) )
> this is about ~4000 rows it will be loaded from mysql database in 0.3
> my idea was to cache this rows in a xml file like for example:
> <id>some hash id</id>
> <title>category title </title>
> also load query from mysql first, save to xml using 6 hours, erase the
> cached file, load query against....
> but to load the same num rows from xml during more then 3 seconds in
> comparison mysql need just 0.3 seconds.
> how can i optimize the reading from xml faster?
> server design:
> 2 mysql server (Master & Slave with Replication )
> 8 Applikation Server with connect to the 2 mysql server
> this i the reason why i want to cache this query anyway! other querys just
> need about 0.0004 seconds, but this is the slowest query!
> i hope someone can help me or had a better ideas to solve this problem!
> thanks chris
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</Daniel P. Brown>
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