[ 
http://issues.apache.org/jira/browse/NUTCH-209?page=comments#action_12365800 ] 

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

No problem.

Re: plugin loading: well, when we are done building the binary distribution we 
already know for sure what plugins we have in the whole installation, so we 
might as well put this knowledge into a resource file (created by ant) that 
lists all available plugins in the installation, and then read this file 
instead of listing a directory. Today plugins already use a custom ClassLoader, 
so from this POV it would be a small change.

Re: including only enabled plugins: potentially you would have to build a 
custom jar for each job, because the list of active plugins depends on the 
job's Configuration. I think I would prefer the replication trick.

> 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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