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https://issues.apache.org/jira/browse/MAPREDUCE-15?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14237425#comment-14237425
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Dobromir Montauk commented on MAPREDUCE-15:
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Curious what the current state is; can the RecordReader skip bad records? This
seems like the best default behavior in a complex distributed environment where
bad records are non-trivial...
> SequenceFile RecordReader should skip bad records
> -------------------------------------------------
>
> Key: MAPREDUCE-15
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-15
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Reporter: Joydeep Sen Sarma
>
> Currently a bad record in a sequencefile leads to entire job being failed.
> the best workaround is to skip an errant file manually (by looking at what
> map task failed). This is a sucky option because it's manual and because one
> should be able to skip a sequencefile block (instead of entire file).
> While we don't see this often (and i don't know why this corruption happened)
> - here's an example stack:
> Status : FAILED java.lang.NegativeArraySizeException
> at org.apache.hadoop.io.BytesWritable.setCapacity(BytesWritable.java:96)
> at org.apache.hadoop.io.BytesWritable.setSize(BytesWritable.java:75)
> at org.apache.hadoop.io.BytesWritable.readFields(BytesWritable.java:130)
> at
> org.apache.hadoop.io.SequenceFile$Reader.getCurrentValue(SequenceFile.java:1640)
> at org.apache.hadoop.io.SequenceFile$Reader.next(SequenceFile.java:1712)
> at
> org.apache.hadoop.mapred.SequenceFileRecordReader.next(SequenceFileRecordReader.java:79)
> at org.apache.hadoop.mapred.MapTask$1.next(MapTask.java:176)
> Ideally the recordreader should just skip the entire chunk if it gets an
> unrecoverable error while reading.
> This was the consensus in hadoop-153 as well (that data corruptions should be
> handled by recordreaders) and hadoop-3144 did something similar for
> textinputformat.
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