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Posted to mapreduce-issues@hadoop.apache.org by "Wang Yan (JIRA)" <ji...@apache.org> on 2018/10/05 02:18:00 UTC
[jira] [Created] (MAPREDUCE-7148) Fast fail jobs when exceeds dfs
quota limitation
Wang Yan created MAPREDUCE-7148:
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Summary: 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, hive 0.13
Reporter: Wang Yan
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 .
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