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From "Daniel Dai (Resolved) (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (PIG-2550) Custom tuple results in "Unexpected datatype 110 while reading tuplefrom binary file" while spilling
Date Fri, 23 Mar 2012 23:59:28 GMT

     [ https://issues.apache.org/jira/browse/PIG-2550?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Daniel Dai resolved PIG-2550.
-----------------------------

      Resolution: Fixed
    Hadoop Flags: Reviewed

Committed to 0.9/0.10/trunk. For trunk, it is actually fixed in PIG-2359. Only commit the
test case to trunk.
                
> Custom tuple results in "Unexpected datatype 110 while reading tuplefrom binary file"
while spilling
> ----------------------------------------------------------------------------------------------------
>
>                 Key: PIG-2550
>                 URL: https://issues.apache.org/jira/browse/PIG-2550
>             Project: Pig
>          Issue Type: Bug
>    Affects Versions: 0.8.1, 0.9.1, 0.10
>            Reporter: Vivek Padmanabhan
>            Assignee: Daniel Dai
>             Fix For: 0.10, 0.9.3, 0.11
>
>         Attachments: PIG-2550-1.patch, REPRODUCING_SPILL_ERROR.txt
>
>
> In the below script ;
> {code}
> a = load 'gen_data/' AS (f1,f2);
> b = load 'gen_data_02/' AS (f1,f2);
> c = cogroup a by f1,b by f1;
> d = foreach c generate group,flatten(a),COUNT(b),flatten(UDFReturningMyCustomTuple(b,a));
> store d into 'test006';
> {code}
> The udf (UDFReturningMyCustomTuple) returns a bag which contains custom tuples.
> The script execution fails at the reducer side with the below exception while reading
back the spilled data,
> 2012-02-23 10:37:16,840 FATAL org.apache.pig.data.DefaultDataBag: Unable to read our
spill file.
> org.apache.pig.backend.executionengine.ExecException: ERROR 2112: Unexpected datatype
110 while reading tuple from binary file.
> 	at org.apache.pig.data.BinInterSedes.getTupleSize(BinInterSedes.java:133)
> 	at org.apache.pig.data.BinInterSedes.addColsToTuple(BinInterSedes.java:556)
> 	at org.apache.pig.data.BinSedesTuple.readFields(BinSedesTuple.java:66)
> 	at org.apache.pig.data.DefaultDataBag$DefaultDataBagIterator.next(DefaultDataBag.java:215)
> 	at org.apache.pig.data.DefaultDataBag$DefaultDataBagIterator.hasNext(DefaultDataBag.java:158)
> 	at org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators.POForEach.processPlan(POForEach.java:301)
> 	at org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators.POForEach.getNext(POForEach.java:208)
> 	at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigGenericMapReduce$Reduce.runPipeline(PigGenericMapReduce.java:459)
> 	at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigGenericMapReduce$Reduce.processOnePackageOutput(PigGenericMapReduce.java:427)
> 	at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigGenericMapReduce$Reduce.reduce(PigGenericMapReduce.java:407)
> 	at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigGenericMapReduce$Reduce.reduce(PigGenericMapReduce.java:261)
> 	at org.apache.hadoop.mapreduce.Reducer.run(Reducer.java:176)
> 	at org.apache.hadoop.mapred.ReduceTask.runNewReducer(ReduceTask.java:649)
> 	at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:417)
> 	at org.apache.hadoop.mapred.Child$4.run(Child.java:255)
> 	at java.security.AccessController.doPrivileged(Native Method)
> 	at javax.security.auth.Subject.doAs(Subject.java:396)
> 	at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1082)
> 	at org.apache.hadoop.mapred.Child.main(Child.java:249)
> It looks like while spilling we do MyCustomTuple.write(DataOutput out) which writes the
type as DataType.TUPLE (110),
> but while reading back we always use BinSedesTuple.

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