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Hmm... good point....
Given the choice I personally prefer the optimisation
route..
It only takes one user to come along and do a comparison
of how slow or fast it happens, work out the truth that
the parsers are crap... and then people look stupid
don't they.
That's why I do believe there is space for efficient
parsers. I use speed optimised parsers. But before
they were optimised, they did struggle with big files
and lot's of data.
I'm a speed freak... just cannot help it..
bring on the assembly language subroutines...
Quoting Peter Hunsberger <peter.hunsberger@gmail.com>:
> On Tue, 7 Dec 2004 22:30:55 +1100, david.lyon@computergrid.net
> <david.lyon@computergrid.net> wrote:
> >
> > Those that use csv files will never need to upgrade
> > their processors... hard disks.. or network links..
> >
> > those that use xml will always be spending money
> > on more powerful gear....
> >
> > and if we all spend enough then one day we might
> > achieve nirvana - the processing speed of the
> > original 20mhz 80386.....
>
> On the off chance that someone reading this might take this post
> seriously, I have a (rhetorical) question: when those people using CSV
> files need to build a set of hierarchical related data sets do you
> think that the sponsoring entities money is better spent supporting
> legions of developers hand coding tree building and parsing algorithms
> from scratch or should they instead upgrade to a new CPU that can run
> off the shelf widely supported commodity software? Given the year
> over year increase in developer costs and the year over year decline
> in hardware costs I think the answer is obvious...
>
> --
> Peter Hunsberger
>
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