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Posted to issues@spark.apache.org by "Xiao Li (JIRA)" <ji...@apache.org> on 2019/04/04 04:49:00 UTC

[jira] [Updated] (SPARK-23710) Upgrade the built-in Hive to 2.3.4 for hadoop-3.2

     [ https://issues.apache.org/jira/browse/SPARK-23710?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiao Li updated SPARK-23710:
----------------------------
    Summary: Upgrade the built-in Hive to 2.3.4 for hadoop-3.2  (was: Upgrade the built-in Hive to 2.3.4 for hadoop-3.1)

> Upgrade the built-in Hive to 2.3.4 for hadoop-3.2
> -------------------------------------------------
>
>                 Key: SPARK-23710
>                 URL: https://issues.apache.org/jira/browse/SPARK-23710
>             Project: Spark
>          Issue Type: Umbrella
>          Components: SQL
>    Affects Versions: 2.4.0
>            Reporter: Yuming Wang
>            Assignee: Yuming Wang
>            Priority: Critical
>
> Spark fail to run on Hadoop 3.x, because Hive's ShimLoader considers Hadoop 3.x to be an unknown Hadoop version. see SPARK-18673 and HIVE-16081 for more details. So we need to upgrade the built-in Hive for Hadoop-3.x. This is an umbrella JIRA to track this upgrade.
>  
> *Upgrade Plan*:
>  # SPARK-27054 Remove the Calcite dependency. This can avoid some jar conflicts.
>  # SPARK-23749 Replace built-in Hive API (isSub/toKryo) and remove OrcProto.Type usage
>  # SPARK-27158, SPARK-27130 Update dev/* to support dynamic change profiles when testing
>  # Fix ORC dependency conflict to makes it test passed on Hive 1.2.1 and compile passed on Hive 2.3.4
>  # Add an empty hive-thriftserverV2 module. then we could test all test cases in next step
>  # Make Hadoop-3.1 with Hive 2.3.4 test passed
>  # Adapted hive-thriftserverV2 from hive-thriftserver with Hive 2.3.4's [TCLIService.thrift|https://github.com/apache/hive/blob/rel/release-2.3.4/service-rpc/if/TCLIService.thrift]
>  
> I have completed the [initial work|https://github.com/apache/spark/pull/24044] and plan to finish this upgrade step by step.
>   
>  



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