You didn't understand my problem. The exact same code throws out of
memory when I change map to pmap.

My monthly data is evenly divided into 30 sets. For e.g total monthly
data = 90000 records, daily data size for each day = 3000 records. I
am trying to achieve performance gain by processing the daily data in
parallel.

On Aug 6, 2:18 pm, Sunil S Nandihalli <sunil.nandiha...@gmail.com>
wrote:
> Just  a guess. If your daily data is huge you will be loading the data for
> only one day when using map and you will be loading the data for multiple
> days (equal to number of parallel threads) .. and may be this is the cause
> of the problem.
> Sunil.
>
> On Sat, Aug 6, 2011 at 11:40 PM, Shoeb Bhinderwala <
>
>
>
>
>
>
>
> shoeb.bhinderw...@gmail.com> wrote:
> > Problem summary: I am running out of memory using pmap but the same code
> > works with regular map function.
>
> > My problem is that I am trying to break my data into sets and process them
> > in parallel. My data is for an entire month and I am breaking it into 30/31
> > sets - one for each day. I run a function for each daily set of data using
> > pmap, something like:
>
> > (defn process-monthly-data
> >   [grp-id month year]
> >   (doall (pmap
> >     #(process-daily-data grp-id % month year)
> >     (range 31)))
>
> > (defn process-daily-data
> >   [grp-id day month year]
> >   (
> >      ;load and process daily data …
> >   ))
>
> > When I run my function using regular map it works fine, but when I change
> > it to pmap I get an OutOfMemoryException.
>
> > What am I doing wrong?
>
> > -- Shoeb
>
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