[ https://issues.apache.org/jira/browse/SPARK-6067?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Jason Hubbard updated SPARK-6067: --------------------------------- Attachment: job.log > Spark sql hive dynamic partitions job will fail if task fails > ------------------------------------------------------------- > > Key: SPARK-6067 > URL: https://issues.apache.org/jira/browse/SPARK-6067 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 1.2.0 > Reporter: Jason Hubbard > Priority: Minor > Attachments: job.log > > > When inserting into a hive table from spark sql while using dynamic > partitioning, if a task fails it will cause the task to continue to fail and > eventually fail the job. > /mytable/.hive-staging_hive_2015-02-27_11-53-19_573_222-3/-ext-10000/partition=2015-02-04/part-00001 > for client <ip> already exists > The task may need to clean up after a failed task to write to the location of > the previously failed task. -- 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