Absolutely

On Fri, Dec 7, 2012 at 1:29 PM, László Török <ltoro...@gmail.com> wrote:

> Hi,
>
> shouldn't
>
> (fn [groups a]
>       (assoc groups (f a) (conj (get groups a []) a)))
>
> be
>
> (fn [groups a]
>       (let [k (f a)]
>             (assoc groups k (conj (get groups k []) a))))
>
> ?
>
> Las
>
> 2012/12/7 Christophe Grand <christo...@cgrand.net>
>
>> Hi,
>>
>> There are indeed too much allocationfoing on in your r/map.
>> You don't need the rmap,
>>
>> Start from a plain old reduce like your reduce-by-naive, replace reduce
>> by r/fold, remove the seed and add the combine-fn (which now provides the
>> seed):
>>
>> (defn group-by-red [f coll]
>>   (r/fold
>>     (partial merge-with concat)
>>     (fn [groups a]
>>       (assoc groups (f a) (conj (get groups a []) a)))
>>     coll))
>>
>>
>> Crude benchmark;
>>  (let [v (vec (range 1000000))]
>>   (dotimes [n 5]
>>     (println "Run" n)
>>     (time (group-by #(mod % 29) v))
>>     (time (group-by-naive #(mod % 29) v))
>>     (time (group-by-red #(mod % 29) v))))
>> Run 0
>> "Elapsed time: 938.878 msecs"
>> "Elapsed time: 778.161 msecs"
>> "Elapsed time: 1035.997 msecs"
>> Run 1
>> "Elapsed time: 715.352 msecs"
>> "Elapsed time: 771.913 msecs"
>> "Elapsed time: 840.264 msecs"
>> Run 2
>> "Elapsed time: 656.588 msecs"
>> "Elapsed time: 700.114 msecs"
>> "Elapsed time: 777.323 msecs"
>> Run 3
>> "Elapsed time: 731.781 msecs"
>> "Elapsed time: 713.547 msecs"
>> "Elapsed time: 875.801 msecs"
>> Run 4
>> "Elapsed time: 689.711 msecs"
>> "Elapsed time: 710.728 msecs"
>> "Elapsed time: 1112.609 msecs"
>> nil
>>
>> Let's play with the granularity (defaults to 512)
>> (defn group-by-red [f coll]
>>   (r/fold 2048
>>     (partial merge-with concat)
>>     (fn [groups a]
>>       (assoc groups (f a) (conj (get groups a []) a)))
>>     coll))
>>
>> Re-benchmark:
>> Run 0
>> "Elapsed time: 810.676 msecs"
>> "Elapsed time: 736.764 msecs"
>> "Elapsed time: 547.651 msecs"
>> Run 1
>> "Elapsed time: 681.249 msecs"
>> "Elapsed time: 850.046 msecs"
>> "Elapsed time: 521.27 msecs"
>> Run 2
>> "Elapsed time: 669.385 msecs"
>> "Elapsed time: 712.15 msecs"
>> "Elapsed time: 518.502 msecs"
>> Run 3
>> "Elapsed time: 673.108 msecs"
>> "Elapsed time: 745.688 msecs"
>> "Elapsed time: 542.837 msecs"
>> Run 4
>> "Elapsed time: 654.196 msecs"
>> "Elapsed time: 723.074 msecs"
>> "Elapsed time: 506.861 msecs"
>>
>> Note that you are not exactly comparing apples to apples since
>> group-by-red is returning maps whose values are unrealized lazy sequence
>> (concats of concats of ocncats of vactors) instead of vectors
>>
>> (defn group-by-red [f coll]
>>   (r/fold 2048
>>     (partial merge-with into)
>>     (fn [groups a]
>>       (assoc groups (f a) (conj (get groups a []) a)))
>>     coll))
>>
>> Run 0
>> "Elapsed time: 763.455 msecs"
>> "Elapsed time: 763.501 msecs"
>> "Elapsed time: 681.075 msecs"
>> Run 1
>> "Elapsed time: 645.52 msecs"
>> "Elapsed time: 731.545 msecs"
>> "Elapsed time: 476.381 msecs"
>> Run 2
>> "Elapsed time: 660.775 msecs"
>> "Elapsed time: 728.19 msecs"
>> "Elapsed time: 475.543 msecs"
>> Run 3
>> "Elapsed time: 657.255 msecs"
>> "Elapsed time: 725.995 msecs"
>> "Elapsed time: 494.038 msecs"
>> Run 4
>> "Elapsed time: 647.53 msecs"
>> "Elapsed time: 731.085 msecs"
>> "Elapsed time: 538.649 msecs"
>>
>> hth,
>>
>> Christophe
>>
>>
>> On Fri, Dec 7, 2012 at 10:30 AM, Balint Erdi <balint.e...@gmail.com>wrote:
>>
>>> BTW I understood the most about reducers (still not quite there yet,
>>> though :) ) from Rich Hickey's talk at EuroClojure:
>>>
>>> https://vimeo.com/45561411
>>>
>>>
>>> On Friday, December 7, 2012 10:21:59 AM UTC+1, Balint Erdi wrote:
>>>>
>>>> Hey,
>>>>
>>>> Reducers is fascinating and quite complex at the same time. I feel like
>>>> "best practices" around it has not quite solidified yet.
>>>>
>>>> Here is how I made your example work:
>>>>
>>>> (ns group-by-reducers.core
>>>>   (:require [clojure.core.reducers :as r :only [fold reduce map]])
>>>>   (:require [criterium.core :as c]))
>>>>
>>>> (defn group-by-naive [f coll]
>>>>   (reduce
>>>>     (fn [groups a]
>>>>       (assoc groups (f a) (conj (get groups a []) a)))
>>>>     {}
>>>>     coll))
>>>>
>>>> (defn group-by-red [f coll]
>>>>   (letfn [(reduce-groups
>>>>             ([] {})
>>>>             ([g1 g2]
>>>>               (merge-with concat g1 g2)))]
>>>>     (r/fold reduce-groups (r/map #(hash-map (f %) [%]) coll))))
>>>>
>>>> (defn -main
>>>>   [& args]
>>>>   (c/quick-bench (group-by #(mod % 29) (range 10000)))
>>>>   (c/quick-bench (group-by-naive #(mod % 29) (range 10000)))
>>>>   (c/quick-bench (group-by-red #(mod % 29) (range 10000))))
>>>>
>>>> (available as a gist here: 
>>>> https://gist.github.com/**4232044<https://gist.github.com/4232044>
>>>> )
>>>>
>>>> The core and naive versions perform roughly equally (~4ms) while the
>>>> reducers version takes 10x as much time (~40ms) on my two-core laptop.
>>>>
>>>> I'm absolutely sure I'm doing something wrong (there is probably too
>>>> much memory allocated by the map function) and would like to hear the
>>>> opinion of someone more knowledgeable with reducers. I just did not want
>>>> the subject to be buried.
>>>>
>>>> Hope that still helps a bit,
>>>> Balint
>>>>
>>>> ps. There are some tips and tricks in this post:
>>>> http://www.thebusby.com/**2012/07/tips-tricks-with-**
>>>> clojure-reducers.html<http://www.thebusby.com/2012/07/tips-tricks-with-clojure-reducers.html>
>>>>
>>>> On Monday, December 3, 2012 5:04:17 PM UTC+1, Las wrote:
>>>>>
>>>>> Hi,
>>>>>
>>>>> As I was trying to wrap my head around the reducers library[1], I
>>>>> thought implementing group-by would be a good exercise to gain some 
>>>>> insight.
>>>>>
>>>>> After spending a few hours with it, I'm still pretty much clueless, so
>>>>> hope to find someone here to help me out:
>>>>>
>>>>> So if I understood the reducer lingo introduced in [2],[3] and
>>>>> group-by correctly, it reduces the following reducing function on a
>>>>> collection
>>>>>
>>>>> (fn group-by-reducef [keyfn ret x]
>>>>>      (let [k (keyfn x)]
>>>>>         (assoc ret k (conj (get ret k []) x))))
>>>>>
>>>>> where keyfn is provided by a partial function application.
>>>>>
>>>>> fold needs a combining function that takes two result maps that have
>>>>> already been grouped and merges them.
>>>>> A naive implementation could look like
>>>>>
>>>>> (defn group-by-combinef
>>>>>   ([] {})
>>>>>   ([g1 g2]
>>>>>      (persistent!
>>>>>       (reduce (fn [res k v]
>>>>>                 (assoc! res k (into (get res k []) v)))
>>>>>               (transient g1) g2))))
>>>>>
>>>>> (defn group-by [f coll]
>>>>>   (fold (partial gr-by-reducef f) gr-by-combinef coll))
>>>>>
>>>>> Now couple of questions:
>>>>> 1) I expected fold to actually perform the operation, how can I force
>>>>> it to give me the result?
>>>>> 2) Can somehow the actual reducing at the leaf nodes still take
>>>>> advantage of transient collections?
>>>>> 3) I took a look at flatten as it seems the "closest" match. Again, if
>>>>> I call (flatten [[1 2] [2 4]]), I don't actually get the result. How do I
>>>>> get to the result?
>>>>>
>>>>>
>>>>> Thanks!
>>>>>
>>>>> [1] https://github.com/**clojure/clojure/blob/master/**
>>>>> src/clj/clojure/core/reducers.**clj<https://github.com/clojure/clojure/blob/master/src/clj/clojure/core/reducers.clj>
>>>>> [2] http://clojure.com/blog/**2012/05/08/reducers-a-library-**
>>>>> and-model-for-collection-**processing.html<http://clojure.com/blog/2012/05/08/reducers-a-library-and-model-for-collection-processing.html>
>>>>> [3] 
>>>>> http://clojure.com/blog/**2012/05/15/anatomy-of-reducer.**html<http://clojure.com/blog/2012/05/15/anatomy-of-reducer.html>
>>>>> --
>>>>> László Török
>>>>>
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>>
>>
>>
>> --
>> On Clojure http://clj-me.cgrand.net/
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>
>
>
> --
> László Török
>
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