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https://issues.apache.org/jira/browse/MAPREDUCE-7148?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16678320#comment-16678320
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Hudson commented on MAPREDUCE-7148:
-----------------------------------
SUCCESS: Integrated in Jenkins build Hadoop-trunk-Commit #15383 (See
[https://builds.apache.org/job/Hadoop-trunk-Commit/15383/])
MAPREDUCE-7148. Fast fail jobs when exceeds dfs quota limitation. (jlowe: rev
0b6625a9735f76ab473b41d8ab9b7f3c7678cfff)
* (add)
hadoop-common-project/hadoop-common/src/main/java/org/apache/hadoop/fs/ClusterStorageCapacityExceededException.java
* (add)
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-app/src/test/java/org/apache/hadoop/mapred/TestYarnChild.java
* (edit)
hadoop-hdfs-project/hadoop-hdfs-client/src/main/java/org/apache/hadoop/hdfs/protocol/QuotaExceededException.java
* (edit)
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-app/src/main/java/org/apache/hadoop/mapred/YarnChild.java
* (edit)
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core/src/main/resources/mapred-default.xml
* (edit)
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core/src/main/java/org/apache/hadoop/mapreduce/MRJobConfig.java
> 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: 2.7.0, 2.8.0, 2.9.0
> Environment: hadoop 2.7.3
> Reporter: Wang Yan
> Assignee: Wang Yan
> Priority: Major
> Fix For: 3.3.0
>
> Attachments: MAPREDUCE-7148.001.patch, MAPREDUCE-7148.002.patch,
> MAPREDUCE-7148.003.patch, MAPREDUCE-7148.004.patch, MAPREDUCE-7148.005.patch,
> MAPREDUCE-7148.006.patch, MAPREDUCE-7148.007.patch, MAPREDUCE-7148.008.patch,
> MAPREDUCE-7148.009.patch, MAPREDUCE-7148.010.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 exceeds the quota limitation and retries 4 times until the
> job fails 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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