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https://issues.apache.org/jira/browse/MAPREDUCE-5568?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14225213#comment-14225213
]
Hudson commented on MAPREDUCE-5568:
-----------------------------------
FAILURE: Integrated in Hadoop-trunk-Commit #6603 (See
[https://builds.apache.org/job/Hadoop-trunk-Commit/6603/])
MAPREDUCE-5568. Fixed CompletedJob in JHS to show progress percentage correctly
in case the number of mappers or reducers is zero. Contributed by MinJi Kim
(jianhe: rev 78f7cdbfd6e2b9fac51c369c748ae93d12ef065a)
* hadoop-mapreduce-project/CHANGES.txt
*
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-hs/src/test/java/org/apache/hadoop/mapreduce/v2/hs/TestJobHistoryEntities.java
*
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-hs/src/main/java/org/apache/hadoop/mapreduce/v2/hs/CompletedJob.java
*
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-hs/src/test/resources/job_1416424547277_0002-1416424775281-root-TeraGen-1416424785433-2-0-SUCCEEDED-default-1416424779349.jhist
> JHS returns invalid string for reducer completion percentage if AM restarts
> with 0 reducer.
> -------------------------------------------------------------------------------------------
>
> Key: MAPREDUCE-5568
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-5568
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Affects Versions: 2.4.1, 2.5.1
> Reporter: Jian He
> Assignee: MinJi Kim
> Fix For: 2.7.0
>
> Attachments: 5568.patch01, 5568.patch02, 5568.patch03, 5568.patch04
>
>
> JobCLient shows like:
> {code}
> 13/10/05 16:26:09 INFO mapreduce.Job: map 100% reduce NaN%
> 13/10/05 16:26:09 INFO mapreduce.Job: Job job_1381015536254_0001 completed
> successfully
> 13/10/05 16:26:09 INFO mapreduce.Job: Counters: 26
> File System Counters
> FILE: Number of bytes read=0
> FILE: Number of bytes written=76741
> FILE: Number of read operations=0
> FILE: Number of large read operations=0
> FILE: Number of write operations=0
> HDFS: Number of bytes read=48
> HDFS: Number of bytes written=0
> HDFS: Number of read operations=1
> HDFS: Number of large read operations=0
> HDFS: Number of write operations=0
> {code}
> With mapped job -status command, it shows:
> {code}
> Uber job : false
> Number of maps: 1
> Number of reduces: 0
> map() completion: 1.0
> reduce() completion: NaN
> Job state: SUCCEEDED
> retired: false
> reason for failure:
> {code}
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