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From "Pradeep Kamath (JIRA)" <j...@apache.org>
Subject [jira] Updated: (PIG-835) Multiquery optimization does not handle the case where the map keys in the split plans have different key types (tuple and non tuple key type)
Date Tue, 09 Jun 2009 22:18:07 GMT

     [ https://issues.apache.org/jira/browse/PIG-835?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Pradeep Kamath updated PIG-835:
-------------------------------

      Resolution: Fixed
    Hadoop Flags: [Reviewed]
          Status: Resolved  (was: Patch Available)

Patch commited to both trunk and branch-0.3

> Multiquery optimization does not handle the case where the map keys in the split plans
have different key types (tuple and non tuple key type)
> ----------------------------------------------------------------------------------------------------------------------------------------------
>
>                 Key: PIG-835
>                 URL: https://issues.apache.org/jira/browse/PIG-835
>             Project: Pig
>          Issue Type: Bug
>    Affects Versions: 0.2.1
>            Reporter: Pradeep Kamath
>            Assignee: Pradeep Kamath
>             Fix For: 0.3.0
>
>         Attachments: PIG-835-v2.patch, PIG-835.patch
>
>
> A query like the following results in an exception on execution:
> {noformat}
> a = load 'mult.input' as (name, age, gpa);
> b = group a ALL;
> c = foreach b generate group, COUNT(a);
> store c into 'foo';
> d = group a by (name, gpa);
> e = foreach d generate flatten(group), MIN(a.age);
> store e into 'bar';
> {noformat}
> Exception on execution:
> 09/06/04 16:56:11 INFO mapred.TaskInProgress: Error from attempt_200906041655_0001_r_000000_3:
java.lang.ClassCastException: java.lang.String cannot be cast to org.apache.pig.data.Tuple
>     at org.apache.pig.backend.hadoop.executionengine.physicalLayer.expressionOperators.POProject.getNext(POProject.java:312)
>     at org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators.POForEach.processPlan(POForEach.java:254)
>     at org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators.POForEach.getNext(POForEach.java:204)
>     at org.apache.pig.backend.hadoop.executionengine.physicalLayer.PhysicalOperator.processInput(PhysicalOperator.java:231)
>     at org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators.POStore.getNext(POStore.java:117)
>     at org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators.PODemux.runPipeline(PODemux.java:248)
>     at org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators.PODemux.getNext(PODemux.java:238)
>     at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigMapReduce$Reduce.runPipeline(PigMapReduce.java:320)
>     at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigMapReduce$Reduce.processOnePackageOutput(PigMapReduce.java:288)
>     at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigMapReduce$Reduce.reduce(PigMapReduce.java:268)
>     at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigMapReduce$Reduce.reduce(PigMapReduce.java:142)
>     at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:318)
>     at org.apache.hadoop.mapred.TaskTracker$Child.main(TaskTracker.java:2207)

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