Most of the Hadoop uses includes processing of large data. But in real time
applications , the data provided by user will be relatively small ,in which
its not advised to use Hadoop
On Tue, Feb 1, 2011 at 10:01 PM, Black, Michael (IS) wrote:
> Try this rather small C++ program...it will more than
Try this rather small C++ program...it will more than likley be a LOT faster
than anything you could do in hadoop. Hadoop is not the hammer for every nail.
Too many people think that any "cluster" solution will automagically scale
their problem...tain't true.
I'd appreciate hearing your resul
On 01/02/11 08:19, Igor Bubkin wrote:
Hello everybody
I have a problem. I installed Hadoop on 2-nodes cluster and run Wordcount
example. It takes about 20 sec for processing of 1,5MB text file. We want to
use Map/Reduce in real time (interactive: by user's requests). User can't
wait for his requ
Hi Igor,
I am not sure if Hadoop is designed for realtime requests. I have a feeling
that you are trying to use Hadoop in a way that it isnot designed for. From my
experience, Hadoop cluster will be much slower than "local" hadoop mode when
processing smaller dataset, because there is always ext
The Hadoop is designed for no-real time application.
But You can change the parameter to reduce the job execution time.
I search an article in Google.
Hope You can find some useful information on that.
http://www.slideshare.net/ImpetusInfo/ppt-on-advanced-hadoop-tuning-n-optimisation
On Tue, Feb
