sure that was a bit more helpful, thanks :)
i was still wondering to what other use cases would that apply. This
is a good article (best so far i guess):
http://code.google.com/edu/parallel/mapreduce-tutorial.html
The thing is that reduce has to aggregate data or it would be
impractical. So i am
Hi Artur,
in your IPs examples, lets supouse you have ten access log files (from
ten different servers),
there you already have the mapping part done.
Then you reduce each log into anonther new file, indicating the IP
address and the times it's repeated.
At this stage you have a reduced version
yeah i think that would make sense.
if you find more good examples from different areas let me know ... i
think i get the basic idea ... will try to apply it some time :)
cheers :)
art
On 30 October 2010 18:58, Andrés G. Montañez andresmonta...@gmail.com wrote:
Hi Artur,
in your IPs
