[ 
http://issues.apache.org/jira/browse/NUTCH-209?page=comments#action_12365782 ] 

Andrzej Bialecki  commented on NUTCH-209:
-----------------------------------------

All Nutch classes + plugins weigh about 16MB. It feels a bit heavy to 
distribute this to every node on every task request...

A wild idea: could we put this jar on NDFS, sorry, DFS, implement a 
DFSClassLoader and point all the tasks' classloaders there? Eventually, when 
DFS grows the locality mechanism, we would avoid transmitting this data unless 
it's really changed...

> include nutch jar in mapred jobs
> --------------------------------
>
>          Key: NUTCH-209
>          URL: http://issues.apache.org/jira/browse/NUTCH-209
>      Project: Nutch
>         Type: Improvement
>     Versions: 0.8-dev
>     Reporter: Doug Cutting
>     Priority: Minor
>      Fix For: 0.8-dev

>
> I just added a simple way in Hadoop to specify the job jar file.  When 
> constructing a JobConf one can specify a class whose containing jar is set to 
> be the job's jar.  To take advantage of this in Nutch, we could add a util 
> class:
> public class NutchJob extends JobConf {
>   public NutchJob(Configuration conf) {
>     super(conf, NutchJob.class);
>   }
> }
> Then change all of the places where we construct a JobConf to instead 
> construct a NutchJob.
> Finally, we should add an ant target called 'job' that constructs a job jar, 
> containing all of the classes and the plugins, and make this the default 
> target.  This way all Nutch code can be distributed with each job as it is 
> submitted, and daemons would only need to be restarted when Hadoop code is 
> updated.
> Does this sound reasonable?

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