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Posted to mapreduce-dev@hadoop.apache.org by "LoggingResearch (Jira)" <ji...@apache.org> on 2024/09/04 03:09:00 UTC

[jira] [Created] (MAPREDUCE-7486) Handling Cluster Storage Capacity Exceeded Exception with Enhanced Logging

LoggingResearch created MAPREDUCE-7486:
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             Summary: Handling Cluster Storage Capacity Exceeded Exception with Enhanced Logging
                 Key: MAPREDUCE-7486
                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-7486
             Project: Hadoop Map/Reduce
          Issue Type: Improvement
          Components: mapreduce-client
    Affects Versions: 3.3.6
         Environment: Version: {{`3.3.6`}}
Location: {{{}`hadoop/hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-app/src/main/java/org/apache/hadoop/mapred/YarnChild.java`{}}}, in {{`reportError`}} method, starting from Line 241-250.
            Reporter: LoggingResearch
         Attachments: TestYarnChild.java, original-vs-log-enhanced.md

The existing {{reportError}} method in {{YarnChild.java}} is responsible for handling exceptions during job execution. However, when the exception is due to the cluster storage capacity being exceeded, the method lacks sufficient logging, especially in cases where the job is not configured to fast fail. This can make it difficult for users to understand why a job did not fail immediately when the storage capacity was exceeded. The enhancement adds detailed logging to inform users about the configuration that prevents fast failure.
 
*Expected Behavior:* 
When a {{ClusterStorageCapacityExceededException}} is encountered, the system should log whether the job is configured to fail fast. If fast fail is disabled, the log should advise users on how to enable it.
 
*How-to-Fix:*
We propose to *expose such a relationship by logging.*



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