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https://issues.apache.org/jira/browse/SPARK-20608?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15998544#comment-15998544
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Marcelo Vanzin commented on SPARK-20608:
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Doesn't it work if you add the namespace (not the NN addresses) in the config
instead?
e.g. {{hdfs://somenamespace}} instead of explicitly calling out the active and
standby addresses. (That requires hdfs-site.xml to contain the namespace to
namenode mappings, but that's generally how HA works anyway.)
The problem I see with the patch is that the fact that you're catching
{{StandbyException}} probably means a token is not being generated for the
standby. So when it actually becomes active, things will fail because Spark
doesn't have the right token to talk to it.
> 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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