Great to see that it's on the cards. Really looking forward to be able to 
use this when stable. Also, wouldn't transducers also open up the way to 
define the chunking size of transduced lazy operations ? Something like 
(with-chunk-size 1 (xform data)) ? Or would this make chunking a non-issue 
anyway ?

On Thursday, August 7, 2014 2:05:33 PM UTC+2, Rich Hickey wrote:
>
> The integration with reducers is still todo. 
>
> On Aug 7, 2014, at 7:03 AM, Niels van Klaveren <niels.va...@gmail.com 
> <javascript:>> wrote: 
>
> > Will the new transducer abstraction also (partly) replace / incorporate 
> the reducer library ? 
> > So we could do something like (def xform (comp (fold +) (map inc) 
> (filter even?)))  to leverage parallelism ? 
> > 
> > On Wednesday, August 6, 2014 8:01:24 PM UTC+2, Rich Hickey wrote: 
> > I pushed today the initial work on transducers. I describe transducers 
> briefly in this blog post: 
> > 
> > http://blog.cognitect.com/blog/2014/8/6/transducers-are-coming 
> > 
> > This work builds on the work done for reducers, bringing 
> context-independent mapping, filtering etc to other areas, such as 
> core.async. 
> > 
> > This is work in progress. We will be cutting alpha releases to help make 
> it easier to start using core's transducers together with core.async's new 
> support for them. 
> > 
> > I am very excited about this powerful technique and how we all might use 
> it. 
> > 
> > Please have a look. 
> > 
> > Feedback welcome, 
> > 
> > Rich 
> > 
> > 
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