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Message from discussion Scalability of Cascading jobs
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Lekhnath Bhusal  
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 More options Nov 10 2012, 2:50 am
From: Lekhnath Bhusal <lekhnathbhu...@gmail.com>
Date: Fri, 9 Nov 2012 23:50:41 -0800 (PST)
Local: Sat, Nov 10 2012 2:50 am
Subject: Scalability of Cascading jobs
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Hi folks,

I have started using cascading few weeks back. I have created data analytic
engine on top of it. Mos of the code I wrote till date were running in
pseudo distributed environment.
Now that I needed to push the application to real data. I have to run the
jobs in cluster. With the same data, jobs almost run in the same time both
in pseudo distributed mode and 6-node cluster.
For a very simple example,  I have a simple validation job to validate
regular expression pattern matching on individual fields of tuple. When I
run the job in distributed environment its not scaling well. Even if I have
large number of mappers, individual mappers are running too slow there than
in pseudo distributed mode.

 Is there anything missing in configuration.When I run the similar jobs in
pure MapReduce they are scaling well.

Thanks,
Lekhnath


 
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