If they actually have event driven programming that seems like a big step over most functional languages, where I/O is kind of an afterthought.
Steve Yegge wrote some points about Ocaml quite awhile ago. http://sites.google.com/site/steveyegge2/ocaml He says it is quite fast and I've seen that in other places.
The thing I don't like about competing with C/C++ in "fast" is that those languages invariably are memory hogs. They hide that in the benchmarks.
Anyone know if you have control over memory layout in Ocaml? Or if you can reason about it like you can in C/C++?
There are several event-driven programming libraries in OCaml, and two that I like that use monadic abstractions (to hide the messy control flow that makes node.js so painful) are Async (https://ocaml.janestreet.com/?q=node%2F100) and Lwt (http://ocsigen.org).
You have good low-level memory layout in OCaml, either via an FFI or the Ancient module to import in non-GCed values. You can read about the OCaml heap and GC at this blog series by Richard Jones. http://rwmj.wordpress.com/2009/08/04/ocaml-internals/ (and yes, the memory representation is a straightforward mapping from the type declaration; very little magic happens in the compiler)
OCaml is used all over the Xen Cloud Platform (http://github.com/xen-org/xen-api), and I'm running an ongoing microkernel research project called Mirage (http://www.openmirage.org) which has a full network stack written in pure OCaml (and is also competitive performance-wise).
I have been meaning to give OCaml a try for awhile but it's bumped on my list now. (Though it seems that the thing that people keep complaining about is lack of a polymorphic print...)
The biggest issue Ocaml has is that its GC is single-threaded which basically removes the ability to do parallel programming inside a single executable. You have to resort to message passing between multiple processes.
For what it's worth, I think I heard rumors there's work on an improved GC.
Hoare's CSP pretty much takes this approach, and for my money, I think that sort of approach makes the common case of parallel programming easier.
I think this is going to turn out to be a killer feature of Ocaml once people get used to the fact that using 8 cores at once isn't that great of a goal when on-demand computing platforms let you scale much much larger. Pretty soon no one will be all that concerned about how much happens on any one machine. It will be how much gets done per process, and how much gets done per 'cloud'. AppEngine already does this.
And it already is a design feature. The GC is not single threaded b/c they're too dumb to figure out how to fix it (not that you were saying that, but people tend to jump to that conclusion). It's because they want the fastest possible single threaded performance, which means not polluting the GC with the kinds of locking mechanisms necessary to support multi-threaded operation.
I think this point isn't made often enough. There certainly are times when scaling within a single machine is useful but, as is more often the case, if you have to scale beyond a single physical instance you might as well plan for process-oriented parallelism up front.
And the ease of use of multi-process architectures needs to be improved as well.
For the other 20% of the time... threads are awesome. :)
http://projects.camlcity.org/projects/ocamlnet.html
http://rwmj.wordpress.com/2012/02/24/whenjobs-job-lists-canc...
# print_endline (String.uppercase "Jérôme");;
JéRôME
Oops, two characters didn't get properly uppercased.I really like OCaml, it's probably my favorite language, and I hope that RWO will increase its popularity and that this will in turn help improve the language. I'm reading a lot about Haskell these because of the times when I want to do some multi-programming with unicode text.
My biggest complaints:
* Poor libraries - This is getting better, but it used to be a real pain to do stuff like make an HTTP request, parse JSON or XML, or connect to a database. They definitely weren't in the stdlib, and it was even pretty hard to find good third party libraries for it.
* Awkward library interfaces - Even the libraries that are included are awkward to use, like the Set and Map.
* Poor documentation - There's nothing (or was nothing) like http://perldoc.perl.org/ or http://docs.python.org/
And, off-hand, one language nitpick:
* Poorly handled strong typing - For example '+' is used to add integers while '+.' is used to add floats. The underlying reason makes sense, but there's awkward stuff like that all over. Haskell handles it better, IMO.
This is something I have been working on http://gaiustech.github.com/ociml/