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https://issues.apache.org/jira/browse/SPARK-21080?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16058843#comment-16058843
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Saisai Shao commented on SPARK-21080:
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That PR should be worked, we applied that one to our internal branch and
verified.
[~srowen] what's your opinion of this PR
(https://github.com/apache/spark/pull/9168)? That PR tried to workaround
kerberos issue in HDFS HA scenario, the issue is really a HDFS issue but it
only fixed after version Hadoop 2.8.2. I think we still supports Hadoop 2.6,
and for lots of user it is pretty hard to upgrade HDFS to a newer version. So I
think it should be useful to merge that workaround into Spark, to fix the issue
from Spark's aspect. What is your suggestion?
> Workaround for HDFS delegation token expiry broken with some Hadoop versions
> ----------------------------------------------------------------------------
>
> Key: SPARK-21080
> URL: https://issues.apache.org/jira/browse/SPARK-21080
> Project: Spark
> Issue Type: Bug
> Components: YARN
> Affects Versions: 2.1.0
> Environment: Spark 2.1.0 on Yarn, Hadoop 2.7.3
> Reporter: Lukasz Raszka
> Priority: Minor
>
> We're getting struck by SPARK-11182, where the core issue in HDFS has been
> fixed in more recent versions. It seems that [workaround introduced by user
> SaintBacchus|https://github.com/apache/spark/commit/646366b5d2f12e42f8e7287672ba29a8c918a17d]
> doesn't work in newer version of Hadoop. This seems to be cause by a move of
> property name from {{fs.hdfs.impl}} to {{fs.AbstractFileSystem.hdfs.impl}}
> which happened somewhere around 2.7.0 or earlier. Taking this into account
> should make workaround work again for less recent Hadoop versions.
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