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https://issues.apache.org/jira/browse/SPARK-6593?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dale Richardson updated SPARK-6593:
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Summary: Provide option for HadoopRDD to skip corrupted files (was:
Provide option for HadoopRDD to skip bad data splits.)
> Provide option for HadoopRDD to skip corrupted files
> ----------------------------------------------------
>
> Key: SPARK-6593
> URL: https://issues.apache.org/jira/browse/SPARK-6593
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 1.3.0
> Reporter: Dale Richardson
> Priority: Minor
>
> When reading a large amount of files from HDFS eg. with
> sc.textFile("hdfs:///user/cloudera/logs*.gz"). If the hadoop input libraries
> report an exception then the entire job is canceled. As default behaviour
> this is probably for the best, but it would be nice in some circumstances
> where you know it will be ok to have the option to skip the corrupted portion
> and continue the job.
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