On Mon, Oct 03, 2005 at 02:34:40PM -0700, leo wrote: > I come from a java background, where Exceptions are a big Avoid Me, but > are the performance implications the same in Python? We're expecting a > big load on our app (100,000 users/hour) , so we'd like to be as tuned > as possible.
I don't know what you do for each user, but here's a data point: My 1.8GHz Sempron (firmly in the "budget" category) uses a fairly unoptimized piece of software called aether[1] to serve my blog and a few other things. It uses Apache and good old fashioned cgi-bin one-process-per-request to serve up most pages. It parses a substantial amount of Python code each time with execfile (not using byte-compiled files). It still does this in 87ms on average (albeit for a simple page), or about 41k requests per hour. By simply buying a faster CPU, or by avoiding execfile, or by using a higher-performance technology than CGI, or with judicious use of caching, I'm sure I could reach 100,000 requests per hour, and by using several of the techniques together I might be able to reach 400k requests per hour. Probably it would be after these fairly obvious, high-level optimization ideas were exhausted that I would look at the code at a microscopic level for optimization ideas. But because my website is stuck on the slow end of a DSL line, there's not much point to any of this. Jeff [1] http://www.logarithmic.net/pfh/aether (not my site)
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