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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2017/05/15 06:35:04 UTC
[jira] [Resolved] (SPARK-20608) Standby namenodes should be allowed
to included in yarn.spark.access.namenodes to support HDFS HA
[ https://issues.apache.org/jira/browse/SPARK-20608?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-20608.
-------------------------------
Resolution: Not A Problem
> 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: Improvement
> Components: Spark Submit, YARN
> Affects Versions: 2.0.1, 2.1.0
> Reporter: Yuechen Chen
> Priority: Minor
> 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 Codes:
> dataframe.write.parquet(getActiveNameNode(...) + hdfsPath)
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