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MapReduce >> mail # user >> Re: debugging hadoop streaming programs (first code)


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Re: debugging hadoop streaming programs (first code)
Hi Jamal,

          You can debug your MapReduce program if it is written in java
code, by running your MR job in LocalRunner mode via eclipse.
          Or even you can have some debug statements (or even S.O.Ps)
written in your code so that you can check where your job fails.

          But I am NOT sure for python, but one suggestion is can you run
your Python code (Map unit & reduce unit) locally on your input data and
see whether your logic has any issues.

Best,
Mahesh Balija,
Calsoft Labs.

On Tue, Nov 20, 2012 at 6:50 AM, jamal sasha <[EMAIL PROTECTED]> wrote:

>
>
>
> Hi,
>   This is my first attempt to learn the map reduce abstraction.
>
> My problem is as follows
> I have a text file as follows:
> id 1, id2, date,time,mrps,code,code2
>
> 3710100022400,1350219887, 2011-09-10, 12:39:38.000, 99.00, 1, 0
> 3710100022400, 5045462785, 2011-09-06, 13:23:00.000, 70.63, 1, 0
>
>
> Now what I want is to do is to count the number of transaction happening in every half an hour between 7 am and 11 am.
>
> So here are the  intervals.
>
>
> 7-7:30 ->0
>
> 7:30-8 -> 1
>
> 8-8:30->2
>
> ....
>
> 10:30-11->7
>
> So ultimately what I am doing is creating a 2d dictionary
>
> d[id2][interval] = count_transactions.
>
>
> My mappers and reducers are attached (sample input also).
>
> The code run just fine if i run via
>
> cat input.txt | python mapper.py | sort | python reducer.py
>
>
> Gives me the output but when i run it on clusters.. it throws an error which is not helpful (basically on the terminal it says job unsuccesful reason NA).
>
> Any suggestion on what am i doing wrong.
>
>
> Jamal
>
>
>
>
>
>
>