On 02/12/2014 12:29 AM, Mayur Rustagi [via Apache Spark User List] wrote:
> I have found this quite useful
> http://www.youtube.com/watch?v=49Hr5xZyTEA
>
>
> Mayur Rustagi
> Ph: +919632149971
> h <https://twitter.com/mayur_rustagi>ttp://www.sigmoidanalytics.com 
> <http://www.sigmoidanalytics.com>
> https://twitter.com/mayur_rustagi
>
>
>
> On Tue, Feb 11, 2014 at 10:16 AM, Andrew Ash <[hidden email] 
> </user/SendEmail.jtp?type=node&node=1405&i=0>> wrote:
>
>     Hi Ravi,
>
>     Have you read through the docs?  I'm not sure there's a page that
>     directly answers your question but this one gives you an overview
>     of the cluster.
>
>     http://spark.incubator.apache.org/docs/latest/cluster-overview.html
>
>     Andrew
>
>
>     On Tue, Feb 11, 2014 at 8:31 AM, Ravi Hemnani <[hidden email]
>     </user/SendEmail.jtp?type=node&node=1405&i=1>> wrote:
>
>         Hey,
>
>         Can anyone explain how the job basically runs in spark?
>
>         The number of mapper, reducers, the tmp files created and
>         which tmp file
>         contains what data and how to set the number of reducer tasks
>         as we do in
>         hadoop.
>
>         This would prove to be a big help. Thank you.
>
>
>
>
>
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I was watching the same video and it made me more curious about various 
things.
Currently i am working on what things i need to look into for 
optimization of my spark cluster. Ill share my notes with you soon. :)




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