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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-20608) Standby namenodes should be allowed to included in yarn.spark.access.namenodes to support HDFS HA
Date Fri, 05 May 2017 07:56:04 GMT

    [ https://issues.apache.org/jira/browse/SPARK-20608?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15997900#comment-15997900
] 

Apache Spark commented on SPARK-20608:
--------------------------------------

User 'morenn520' has created a pull request for this issue:
https://github.com/apache/spark/pull/17870

> Standby namenodes should be allowed to included in yarn.spark.access.namenodes to support
HDFS HA
> -------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-20608
>                 URL: https://issues.apache.org/jira/browse/SPARK-20608
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Submit, YARN
>    Affects Versions: 2.0.1, 2.1.0
>            Reporter: Yuechen Chen
>   Original Estimate: 672h
>  Remaining Estimate: 672h
>
> If one Spark Application need to access remote namenodes, ${yarn.spark.access.namenodes}
should be only be configged in spark-submit scripts, and Spark Client(On Yarn) would fetch
HDFS credential periodically.
> If one hadoop cluster is configured by HA, there would be one active namenode and at
least one standby namenode. 
> However, if ${yarn.spark.access.namenodes} includes both active and standby namenodes,
Spark Application will be failed for the reason that the standby namenode would not access
by Spark for org.apache.hadoop.ipc.StandbyException.
> I think it won't cause any bad effect to config standby namenodes in ${yarn.spark.access.namenodes},
and my Spark Application can be able to sustain the failover of Hadoop namenode.
> HA Examples:
> spark-submit script: yarn.spark.access.namenodes=hdfs://namenode01,hdfs://namenode02
> Spark Application:
> dataframe.write.parquet(getActiveNameNode(...) + hdfsPath)



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