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From "ulysses you (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-28597) Spark streaming terminated when close meta data log error
Date Fri, 02 Aug 2019 02:16:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-28597?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

ulysses you updated SPARK-28597:
--------------------------------
    Description: 
Now, HDFSMetaDataLog is the only implement of MetaDataLog. If HDFSMetaDataLog.writeBatchToFile()
execute error, then total app will be terminated.

The meta data log is very important for spark, we should retry some times when exception,
and add a config to control retry times.

For example HDFS has a bug that close error if has no enough replicas detail HDFS-11486.

 

  was:
Now, HDFSMetaDataLog is the only implement of MetaDataLog. If HDFSMetaDataLog.writeBatchToFile()
execute error, then total app will be terminated.

The meta data log is very important for spark, we should retry some times when exception,
and add a config to control retry times.

For example HDFS has a bug that close error if has no enough replicas. More detail HDFS-11486.

 


> Spark streaming terminated when close meta data log error 
> ----------------------------------------------------------
>
>                 Key: SPARK-28597
>                 URL: https://issues.apache.org/jira/browse/SPARK-28597
>             Project: Spark
>          Issue Type: Improvement
>          Components: DStreams, Structured Streaming
>    Affects Versions: 2.4.3
>            Reporter: ulysses you
>            Priority: Major
>
> Now, HDFSMetaDataLog is the only implement of MetaDataLog. If HDFSMetaDataLog.writeBatchToFile()
execute error, then total app will be terminated.
> The meta data log is very important for spark, we should retry some times when exception,
and add a config to control retry times.
> For example HDFS has a bug that close error if has no enough replicas detail HDFS-11486.
>  



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