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https://issues.apache.org/jira/browse/PIG-574?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Gunther Hagleitner updated PIG-574:
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    Attachment: run_command_params.patch

Thanks for reviewing the patch!

I tried to address the 3 issues you pointed out:

1) You can now specify parameters and param files in both the exec and run 
command

grunt> run myscript.pig using param_file myparams.ppf
or:
grunt> run myscript.pig using param LIMIT=5 param_file myparams.ppf

The syntax mimics what you can do on the command line when executing a script 
without the "-"s.

2) The script lines are now added to the command history in interactive mode

3) The double grunt... That's actually harder to fix than it thought, but I 
added a newline, so it won't say:

grunt> grunt>

but:

grunt>
grunt>

Let's just tell everyone that that's because they have extra newlines in their 
scripts. Maybe they won't find out. ;-)

> run command for grunt
> ---------------------
>
>                 Key: PIG-574
>                 URL: https://issues.apache.org/jira/browse/PIG-574
>             Project: Pig
>          Issue Type: New Feature
>          Components: grunt
>            Reporter: David Ciemiewicz
>            Priority: Minor
>         Attachments: run_command.patch, run_command_params.patch
>
>
> This is a request for a "run file" command in grunt which will read a script 
> from the local file system and execute the script interactively while in the 
> grunt shell.
> One of the things that slows down iterative development of large, complicated 
> Pig scripts that must operate on hadoop fs data is that the edit, run, debug 
> cycle is slow because I must wait to allocate a Hadoop-on-Demand (hod) 
> cluster for each iteration.  I would prefer not to preallocate a cluster of 
> nodes (though I could).
> Instead, I'd like to have one window open and edit my Pig script using vim or 
> emacs, write it, and then type "run myscript.pig" at the grunt shell until I 
> get things right.
> I'm used to doing similar things with Oracle, MySQL, and R. 

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