Okay... I wrote my own:

https://github.com/projectplugh/plugh/blob/master/src/plugh/util/misc.clj#L51

One can register for on-done and on-fail. I'll work on adding fail-fast and
also map (so one can transform the future and execute code when the
transformed future has been realized/delivered/finished).

Thanks for your help!



On Thu, May 30, 2013 at 2:17 AM, Gary Trakhman <gary.trakh...@gmail.com>wrote:

> by the second future, I mean an instance of
> http://docs.oracle.com/javase/6/docs/api/java/util/concurrent/Future.html ,
> which just has to conform to the interface, and doesn't actually have to
> execute on a different thread.  Clojure's 'future' function returns an
> instance of one of these that uses the unbounded agent thread-pool, but you
> would be free to return one using reify or something.
>
>
> https://github.com/clojure/clojure/blob/master/src/clj/clojure/core.clj#L6320
>
>
> On Thu, May 30, 2013 at 5:14 AM, Gary Trakhman <gary.trakh...@gmail.com>wrote:
>
>> Maybe an easy solution: wrap the first future in another future that
>> blocking-derefs, then performs your extra computation?  Do an extra
>> 'realized?' check for the optimization you mention.  That would still
>> consume threads in the case that it's not realized, but I think it gets you
>> what you want.
>>
>>
>> On Thu, May 30, 2013 at 5:09 AM, Mark Engelberg <mark.engelb...@gmail.com
>> > wrote:
>>
>>> According to this article, Clojure does not yet have this facility:
>>> http://java.dzone.com/articles/promises-and-futures-clojure
>>>
>>> This is something that is being worked on and discussed, though:
>>> http://dev.clojure.org/display/design/Promises
>>>
>>> https://groups.google.com/forum/#!topic/clojure-dev/7BKQi9nWwAw/discussion
>>> http://dev.clojure.org/display/design/Async+blocks
>>>
>>> I've been hearing a lot about Tellman's lamina library as a rich Clojure
>>> toolset for working with asynchronicity.  I haven't had a need for it
>>> myself, but you might want to check it out and see if it has relevance to
>>> what you want to do.
>>>
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