Isn't it Brooks who said "you will throw it away at least 3 times", or
something like this ? :)

2011/9/13 Nathan Sorenson <n...@sfu.ca>

> I adore Clojure as well, but could this success not be partially due
> to the "reimplementing for the second time" phenomenon? i.e. if you re-
> wrote the entire thing in Scala again, perhaps you would see similar
> gains in brevity etc?
>
> On Sep 6, 10:32 pm, Sean Corfield <seancorfi...@gmail.com> wrote:
> > I just wanted to share this experience from World Singles...
> >
> > Back in November 2009, we started developing with Scala. We needed a
> > long-running process that published large volumes of changes from our
> > member database as XML packets published to a custom search engine.
> > The mapping from half a dozen tables in the database to a flat XML
> > schema was pretty complex and the company had tried a number of
> > solutions with mixed success in the past. I introduced Scala based on
> > the promises of performance, concurrency and type safety - and
> > conciseness (especially with XML being a native data type in Scala).
> >
> > We've been running the Scala publishing daemons in production for most
> > of two years. Generally they work pretty well but, under stress, they
> > tend to hit Out of Memory exceptions and, after a lot of poking
> > around, we became fairly convinced it was due (at least in part) to
> > the default actor implementation in Scala. Scala is going to fold in
> > Akka soon and we had been considering migrating to Akka anyone...
> >
> > But having introduced Clojure this year (after experimenting with it
> > since about May last year), we figured we'd have a short spike to
> > create a Clojure version of the Scala code to see how it worked out.
> >
> > It took about 15 hours to recreate the publishing daemon in Clojure
> > and get it to pass all our tests. Today we ran a "soak test"
> > publishing nearly 300,000 profiles in one run. The Scala code would
> > fail with OoM exceptions if we hit it with 50,000 profiles in one run
> > (sometimes less). The Clojure code sailed thru and is still happily
> > running - so we'll be replacing the Scala code during our next
> > production build.
> >
> > The other aspect that's interesting is that the Scala code totaled
> > about 1,000 lines (about 31k characters of code). The Clojure
> > replacement is just under 260 lines (around 11.5k characters of code).
> > Neither code base has much in the way of comments (*ahem* - I'm not
> > proud of that, just pointing out that there's no "noise" offsetting
> > the code comparison). That doesn't include unit tests either, it's
> > just the raw production code. The form of the Clojure code mostly
> > follows the form of the Scala code, most of the same functions - it
> > was very functional Scala - with some refactoring to helper functions
> > to make it more modular and more maintainable.
> >
> > The net result is (obviously) that we'll be taking the Clojure
> > publishing daemon to production and we'll be dropping Scala
> > completely.
> >
> > Kudos to Rich Hickey and the Clojure/core team for creating a great
> > general purpose language that can solve big problems - thank you!
> > --
> > Sean A Corfield -- (904) 302-SEAN
> > An Architect's View --http://corfield.org/
> > World Singles, LLC. --http://worldsingles.com/
> > Railo Technologies, Inc. --http://www.getrailo.com/
> >
> > "Perfection is the enemy of the good."
> > -- Gustave Flaubert, French realist novelist (1821-1880)
>
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