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https://issues.apache.org/jira/browse/PIG-568?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Viraj Bhat updated PIG-568:
---------------------------

    Attachment: myudfint.pig

Pig Script causing the exception

> Reducer plan generation fails when UDF contains integers as parameters
> ----------------------------------------------------------------------
>
>                 Key: PIG-568
>                 URL: https://issues.apache.org/jira/browse/PIG-568
>             Project: Pig
>          Issue Type: Bug
>          Components: impl
>    Affects Versions: types_branch
>            Reporter: Viraj Bhat
>            Priority: Critical
>             Fix For: types_branch
>
>         Attachments: myudfint.pig, visits.txt
>
>
> Consider the following pig script which contains a UDF known as MYUDF. MYUDF 
> is a dummy UDF which takes in a Bag E and a set of integers as offsets. 
> {code}
> register myudf.jar;
> A = load 'visits.txt' using PigStorage() as ( name:chararray, url:chararray, 
> timestamp:chararray);
> B = filter A by (
>         (name is not null) AND
>         (timestamp is not null)
>         );
> C = group B by (
>         url
>         );
> D = foreach C {
>         E = order B by timestamp;
>         generate E;
>         }
> G = foreach D generate
>         param.MYUDF(E, -1, 0, 1);
> --this works
> --param.MYUDF(E,'-1','0','1'); 
> explain G;
> dump G;
> {code}
> If you execute the above script, it fails during the reducer phase where the 
> POUserFunc(MYUDF)[bag] is being called. The MYUDF code is infact not called 
> but somehow the parameters passed to the MYUDF cause the exception in the 
> reduce plan. If you replace the offsets -1,0,1 with '-1', '0', '1' (strings) 
> the UDF seems to get called and the script works fine. 
> =============================================================================================================================
> java.io.IOException: Received Error while processing the reduce plan.
>       at 
> org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigMapReduce$Reduce.runPipeline(PigMapReduce.java:307)
>       at 
> org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigMapReduce$Reduce.processOnePackageOutput(PigMapReduce.java:247)
>       at 
> org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigMapReduce$Reduce.reduce(PigMapReduce.java:224)
>       at 
> org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigMapReduce$Reduce.reduce(PigMapReduce.java:136)
>       at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:318)
>       at 
> org.apache.hadoop.mapred.TaskTracker$Child.main(TaskTracker.java:2209)
> =============================================================================================================================

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