[ https://issues.apache.org/jira/browse/SPARK-6593?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Dale Richardson updated SPARK-6593: ----------------------------------- 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. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org