Grokbase Groups Pig user May 2010
Hi Daniel,

You're correct that the distinct statement is causing the issue, because if I comment the distinct the script runs fine. However, I ran the script with the -Dpig.exec.nocombiner=true option but still I got the "Java heap issue" error in the mapper. Any idea, why?


--- On Fri, 5/7/10, Daniel Dai wrote:

From: Daniel Dai <>
Subject: Re: Java heap issue
To: "" <>
Date: Friday, May 7, 2010, 10:58 PM

I suspect it is because of the distinct combiner. Try the option -Dpig.exec.nocombiner=true on the command line, see if it works.


Kelvin Moss wrote:
HI all,
I had a Pig script that worked completely fine. I called a memory intensive UDF that brought some 600 MB data into each mapper. However, I was able to process and write results. My mapper memory is 4096 MB. My HDFS block size is 128 MB.  My input dataset (on a given date) is big enough to cause some 960 mappers.  A = load 'input data set' ..;
B = load 'smaller data set'..;
C = JOIN A by key, B by key using "replicated";
D = foreach C generate field1, MyUDF(field2) as field2;
E = store D into 'deleteme';
As you can see it is a Map only process. My output is some 960 part files with each file being around 25-35 MB.
I do processing for each day. I now have a requirement to merge the results of the above processing with results from another date and store unique results.
I added the following lines F = 'load previous date data'..;
G = union E, F;
H = distinct G parallel $X;
store H into 'deleteme_H';
When I add these steps to my process I get errors like "Java heap issue" in the mapper phase. I made F to be a null data set but I am still getting the same error. I wonder why I am getting "Java heap" errors. Is the solution to increase the mapper memory further down?

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categoriespig, hadoop
postedMay 7, '10 at 8:56a
activeMay 10, '10 at 8:13a

2 users in discussion

Kelvin Moss: 2 posts Daniel Dai: 1 post



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