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https://issues.apache.org/jira/browse/SPARK-16342?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-16342:
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Assignee: (was: Apache Spark)
> Add a new Configurable Token Manager for Spark Running on YARN
> ---------------------------------------------------------------
>
> Key: SPARK-16342
> URL: https://issues.apache.org/jira/browse/SPARK-16342
> Project: Spark
> Issue Type: New Feature
> Components: YARN
> Reporter: Saisai Shao
>
> Current Spark on YARN token management has some problems:
> 1. Supported service is hard-coded, only HDFS, Hive and HBase are supported
> for token fetching. For other third-party services which need to be
> communicated with Spark in Kerberos way, currently the only way is to modify
> Spark code.
> 2. Current token renewal and update mechanism is also hard-coded, which means
> other third-party services cannot be benefited from this system and will be
> failed when token is expired.
> 3. Also In the code level, current token obtain and update codes are placed
> in several different places without elegant structured, which makes it hard
> to maintain and extend.
> So here propose a new Configurable Token Manager class to solve the issues
> mentioned above.
> Basically this new proposal will have two changes:
> 1. Abstract a ServiceTokenProvider for different services, this is
> configurable and pluggable, by default there will be hdfs, hbase, hive
> service, also user could add their own services through configuration. This
> interface offers a way to retrieve the tokens and token renewal interval.
> 2. Provide a ConfigurableTokenManager to manage all the added-in token
> providers, also expose APIs for external modules to get and update tokens.
> Details are in the design doc
> (https://docs.google.com/document/d/1piUvrQywWXiSwyZM9alN6ilrdlX9ohlNOuP4_Q3A6dc/edit?usp=sharing),
> any suggestion and comment is greatly appreciated.
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