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http://issues.apache.org/jira/browse/HADOOP-153?page=comments#action_12375408 ] 

[EMAIL PROTECTED] commented on HADOOP-153:
------------------------------------------

+1

This would be a generalization of the checksum handler that tries to skip 
records when 'io.skip.checksum.errors' is set.  In a recent note on the list, I 
speculate that there are a class of IOExceptions that should be treatable in 
the same manner -- skipped if a flag is set (Search subject line ''Corrupt GZIP 
trailer' and other irrecoverable IOEs.').

> skip records that throw exceptions
> ----------------------------------
>
>          Key: HADOOP-153
>          URL: http://issues.apache.org/jira/browse/HADOOP-153
>      Project: Hadoop
>         Type: New Feature

>   Components: mapred
>     Reporter: Doug Cutting

>
> MapReduce should skip records that throw exceptions.
> If the exception is thrown under RecordReader.next() then RecordReader 
> implementations should automatically skip to the start of a subsequent record.
> Exceptions in map and reduce implementations can simply be logged, unless 
> they happen under RecordWriter.write().  Cancelling partial output could be 
> hard.  So such output errors will still result in task failure.
> This behaviour should be optional, but enabled by default.  A count of errors 
> per task and job should be maintained and displayed in the web ui.  Perhaps 
> if some percentage of records (>50%?) result in exceptions then the task 
> should fail.  This would stop jobs early that are misconfigured or have buggy 
> code.
> Thoughts?

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