Yes, I think that is possible, but I'm looking for a 1 MapReduce job
solution, if possible.
On Tue, Jul 3, 2012 at 3:46 PM, Eugene Kirpichov <ekirpic...@gmail.com>wrote:
> Ok, I see, so you need to 1) group and count everything group by date
> and product_id => {date, product_id, count} (this is 1 map+reduce) 2)
> group this by product_id and get the value of date for which cnt is
> highest (this is another 1 map+reduce).
> Does this sound sensible?
>
> I'm not sure if this can be efficiently done with just 1 stage of
> map+reduce.
>
> On Tue, Jul 3, 2012 at 3:36 PM, Shailesh Samudrala
> <shailesh2...@gmail.com> wrote:
> > i want to find out how many times a product was searched during a day,
> and
> > then select the day when this is highest.
> >
> > Until now, I have extracted all the required fields from the search
> string,
> > and I am confused about what exactly I should be passing from the mapper
> to
> > the reducer.
> >
> > On Tue, Jul 3, 2012 at 3:30 PM, Eugene Kirpichov <ekirpic...@gmail.com
> >wrote:
> >
> >> So you want to compute select max(date) from log group by product?
> >> Can you describe how far you have advanced so far and where precisely
> >> are you stuck?
> >>
> >> On Tue, Jul 3, 2012 at 3:23 PM, Shailesh Samudrala
> >> <shailesh2...@gmail.com> wrote:
> >> > I am writing a sample application to analyze some log files of webpage
> >> > accesses. Basically, the log files record which products where
> accessed,
> >> > and on what date.
> >> > I want to write a MapReduce program to determine on what date was a
> >> product
> >> > most accessed.
> >> > Please share your ideas with me. Thanks!
> >>
> >>
> >>
> >> --
> >> Eugene Kirpichov
> >> http://www.linkedin.com/in/eugenekirpichov
> >>
>
>
>
> --
> Eugene Kirpichov
> http://www.linkedin.com/in/eugenekirpichov
>
