

Re: how to find top N values using mapreduce ?
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https://gist.github.com/4696443 https://github.com/linkedin/datafu On Fri, Feb 1, 2013 at 11:17 PM, praveenesh kumar <[EMAIL PROTECTED]>wrote: > Actually what I am trying to find to top n% of the whole data. > This n could be very large if my data is large. > > Assuming I have uniform rows of equal size and if the total data size > is 10 GB, using the above mentioned approach, if I have to take top > 10% of the whole data set, I need 10% of 10GB which could be rows > worth of 1 GB (roughly) in my mappers. > I think that would not be possible given my input splits are of > 64/128/512 MB (based on my block size) or am I making wrong > assumptions. I can increase the inputsplit size, but is there a better > way to find top n%. > > > My whole actual problem is to give ranks to some values and then find > out the top 10 ranks. > > I think this context can give more idea about the problem ? > > Regards > Praveenesh > > On Sat, Feb 2, 2013 at 11:53 AM, Eugene Kirpichov <[EMAIL PROTECTED]> > wrote: > > Hi, > > > > Can you tell more about: > > * How big is N > > * How big is the input dataset > > * How many mappers you have > > * Do input splits correlate with the sorting criterion for top N? > > > > Depending on the answers, very different strategies will be optimal. > > > > > > > > On Fri, Feb 1, 2013 at 9:05 PM, praveenesh kumar <[EMAIL PROTECTED] > >wrote: > > > >> I am looking for a better solution for this. > >> > >> 1 way to do this would be to find top N values from each mappers and > >> then find out the top N out of them in 1 reducer. I am afraid that > >> this won't work effectively if my N is larger than number of values in > >> my inputsplit (or mapper input). > >> > >> Otherway is to just sort all of them in 1 reducer and then do the cat of > >> topN. > >> > >> Wondering if there is any better approach to do this ? > >> > >> Regards > >> Praveenesh > >> > > > > > > > >  > > Eugene Kirpichov > > http://www.linkedin.com/in/eugenekirpichov > > http://jkff.info/software/timeplotters  my performance visualization > tools >  Russell Jurney twitter.com/rjurney [EMAIL PROTECTED] datasyndrome.com 

