Subject: Re: [xsl] XSLT use cases; data-centric to document-centric transformations From: Dimitre Novatchev <dnovatchev@xxxxxxxxx> Date: Tue, 8 Feb 2005 22:08:31 +1100 |
On Tue, 8 Feb 2005 10:35:40 +0100, Peter Gerstbach <peter@xxxxxxxxxxxx> wrote: > Zitat von David Carlisle <davidc@xxxxxxxxx>: > > > One of XSLT's great strengths is it allows > > you to seemlessly mix these two styles and a typical stylesheet is > > somewher in between (because a typical document is neither all "data" > > nor all "document". > > I'm often surprised that there are always so many different ways how to solve > one problem with XSLT. I'm able to solve most of the problems, but when I look > at the mailing list, I can see that there always better solutions out there... > :) > > When comparing performance I found out, that xalan and saxon perform bad when > there is only on big template. When the template is very large, saxon > even ends > up in an StackOverflowError. > It is not wise to make such generalisations. An XSLT processor is just running the code that *you* wrote. It is very probable that the reason for the inefficiencies is in your code. Before saying: "This stupid XSLT processor handles my code very inefficiently and even crashes" one must be sure that: "my code implements an efficient algorithm and is provably correct" In the case you describe we have somewhat opposite evidence -- the fact that *more than one* XSLT processor exibits the same behaviour when running your code most probably means that the problem is exactly in your code and not due to any individual XSLT processor. A claim like that can be reasonable only if the code is run efficiently on a set of XSLT processors and is inefficient only on a specific XSLT processor. Is this your case or not? Cheers, Dimitre Novatchev. P.S. I vaguely remember reading how a O(N) algorithm implemented in Basic on a very slow calculator runs faster than an O(N^3) algorithm implemented in C and running on a very fast computer. This was the problem of finding the subsequence with maximum sum, with 5 different algorithms discussed in Jon Bentley's brilliant book "Programming Perls".
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