No, it's still lazy. Partitions are handed off to threads as they are 
needed, and the results are collected in the main thread. I found the same 
code in the O'Reilly book after I figured it out, in the "Parallelism on 
the Cheap" section. It points out the problem with pmap over small 
computations, and has the workaround with partition-all and doall. 
Apparently I should have started there. :-p

On Monday, October 14, 2013 10:13:09 PM UTC-7, Sean Corfield wrote:
>
> I nearly suggested that but it sounded so counter-intuitive and I 
> didn't have time to construct a test-bed for it... glad you figured it 
> out. That means that your float-seq has to be fully realized in memory 
> tho', right? 
>
> On Mon, Oct 14, 2013 at 9:58 PM, Brian Craft 
> <craft...@gmail.com<javascript:>> 
> wrote: 
> > Answering my own question, my grouping example failed because of the 
> > laziness of the expressions being computed in the pmap: the threads were 
> not 
> > evaluating the expressions until they were evaluated (sequentially) by 
> the 
> > main thread. Adding a doall gives the result I was hoping for. 
> > 
> > 
> > On Sunday, October 13, 2013 4:10:16 PM UTC-7, Brian Craft wrote: 
> >> 
> >> I'm walking a seq of many millions of floats, encoding them for the 
> >> persistence layer, and getting sequence ids from the db. So, 
> conceptually 
> >> there are two parts: the slow part, and the side-effecting part. 
> Vaguely 
> >> like 
> >> 
> >> (map get-ids (map encode float-seq)) 
> >> 
> >> which is later reduced while writing to disk. In the get-ids step the 
> >> order matters. My first attempt to make the slow part parallel was to 
> use 
> >> pmap, 
> >> 
> >> (map get-ids (pmap encode float-seq)) 
> >> 
> >> However that's actually slower. I expect this is because even though 
> >> "encode" is the bottleneck, it's still faster than the overhead of 
> pmap. I 
> >> next tried pmap over groups of floats, a bit like 
> >> 
> >> (map get-ids (flatten (pmap #(map encode %) (partition-all 20000 
> >> float-seq)))) 
> >> 
> >> (sorry for any typos, I'm just pseudo-coding here) This was still 
> slower, 
> >> which surprised me. I understand the first pmap result, but this one is 
> >> puzzling to me. Even if I partition half the length of the seq (so in 
> theory 
> >> it can run two threads, each of which will run five or six seconds), 
> it's no 
> >> faster than map.  Part of this seems to be the overhead of creating 
> more 
> >> intermediate seqs. Perhaps I'm misunderstanding what's happening during 
> >> partition-all. 
> >> 
> >> Is there some obvious way to approach this scenario? I looked briefly 
> at 
> >> the reducers library, however it was unclear to me how to deal with the 
> >> side-effecting portion of the operation. The second (fast) map 
> operation 
> >> needs to be done in order. 
> > 
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> Sean A Corfield -- (904) 302-SEAN 
> An Architect's View -- http://corfield.org/ 
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> -- Gustave Flaubert, French realist novelist (1821-1880) 
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