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Wang Yan updated MAPREDUCE-7148: -------------------------------- Attachment: MAPREDUCE-7148.001.patch Status: Patch Available (was: Open) > Fast fail jobs when exceeds dfs quota limitation > ------------------------------------------------ > > Key: MAPREDUCE-7148 > URL: https://issues.apache.org/jira/browse/MAPREDUCE-7148 > Project: Hadoop Map/Reduce > Issue Type: Improvement > Components: task > Affects Versions: 2.9.0, 2.8.0, 2.7.0 > Environment: hadoop 2.7.3 > Reporter: Wang Yan > Priority: Major > Attachments: MAPREDUCE-7148.001.patch > > > We are running hive jobs with a DFS quota limitation per job(3TB). If a job > hits DFS quota limitation, the task that hit it will fail and there will be a > few task reties before the job actually fails. The retry is not very helpful > because the job will always fail anyway. In some worse cases, we have a job > which has a single reduce task writing more than 3TB to HDFS over 20 hours, > the reduce task meets the quota limitation and retries 4 times until the job > fail in the end thus consuming a lot of unnecessary resource. This ticket > aims at providing the feature to let a job fail fast when it writes too much > data to the DFS and exceeds the DFS quota limitation. The fast fail feature > is introduced in MAPREDUCE-7022 and MAPREDUCE-6489 . -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: mapreduce-issues-unsubscr...@hadoop.apache.org For additional commands, e-mail: mapreduce-issues-h...@hadoop.apache.org