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https://issues.apache.org/jira/browse/SPARK-6593?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14385716#comment-14385716
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Dale Richardson edited comment on SPARK-6593 at 3/29/15 11:35 AM:
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With a gz file for example, the entire file is a split. so a corrupted gz file
will kill the entire job - with no way of catching and remediating the error.
was (Author: tigerquoll):
With a gz file for example, the entire file is a split. so a corrupted gz file
will kill the entire job.
> Provide option for HadoopRDD to skip bad data splits.
> -----------------------------------------------------
>
> 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 a single split is corrupted
> 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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