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From "Arun C Murthy (JIRA)" <j...@apache.org>
Subject [jira] Commented: (HADOOP-1144) Hadoop should allow a configurable percentage of failed map tasks before declaring a job failed.
Date Mon, 30 Apr 2007 11:45:16 GMT

    [ https://issues.apache.org/jira/browse/HADOOP-1144?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#action_12492656
] 

Arun C Murthy commented on HADOOP-1144:
---------------------------------------

> It would be nice to have a similar knob for InputFormat, so that it tolerates data that
causes RecordReader to throw an exception without failing the TIP - i.e. to treat such errors
as a regular end of input data.

I'd rather have the user implement a simple sub-class of the RecordReader in question to ignore
the exception and return 'false' from next(key, value) - that should be very easy, no?

> Hadoop should allow a configurable percentage of failed map tasks before declaring a
job failed.
> ------------------------------------------------------------------------------------------------
>
>                 Key: HADOOP-1144
>                 URL: https://issues.apache.org/jira/browse/HADOOP-1144
>             Project: Hadoop
>          Issue Type: Improvement
>          Components: mapred
>    Affects Versions: 0.12.0
>            Reporter: Christian Kunz
>         Assigned To: Arun C Murthy
>             Fix For: 0.13.0
>
>
> In our environment it can occur that some map tasks will fail repeatedly because of corrupt
input data, which sometimes is non-critical as long as the amount is limited. In this case
it is annoying that the whole Hadoop job fails and cannot be restarted till the corrupt data
are identified and eliminated from the input. It would be extremely helpful if the job configuration
would allow to indicate how many map tasks are allowed to fail.

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