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https://issues.apache.org/jira/browse/HDFS-15756?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17322113#comment-17322113
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Xiaoqiao He commented on HDFS-15756:
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[~zhangxiping] I am not familiar with Spark code. But I think it is not
necessary to renew token immediately after fetch all tokens based on above code
segment. Because get delegation token is equal to create and renew it (24 hours
by default). So question is why send renew request when fetch token?
I do not think it is reasonable to throw Standby Exception here. FYI.
> RBF: Cannot get updated delegation token from zookeeper
> -------------------------------------------------------
>
> Key: HDFS-15756
> URL: https://issues.apache.org/jira/browse/HDFS-15756
> Project: Hadoop HDFS
> Issue Type: Bug
> Components: rbf
> Affects Versions: 3.0.0
> Reporter: hbprotoss
> Priority: Major
>
> Affected version: all version with rbf
> When RBF work with spark 2.4 client mode, there will be a chance that token
> is missing across different nodes in RBF cluster. The root cause is that
> spark renew the token(via resource manager) immediately after got one, as
> zookeeper don't have a strong consistency guarantee after an update in
> cluster, zookeeper client may read a stale value in some followers not synced
> with other nodes.
>
> We apply a patch in spark, but it is still the problem of RBF. Is it possible
> for RBF to replace the delegation token store using some other
> datasource(redis for example)?
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