[jira] [Commented] (SPARK-21918) HiveClient shouldn't share Hive object between different thread

["junzhang (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-21918?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16226457#comment-16226457 ] 

junzhang commented on SPARK-21918:
----------------------------------

[~huLiu] how about the patch? we are suffering DDL and DML problems for STS. It will be much appreciated if provide the patch as soon as possible.

> HiveClient shouldn't share Hive object between different thread
> ---------------------------------------------------------------
>
>                 Key: SPARK-21918
>                 URL: https://issues.apache.org/jira/browse/SPARK-21918
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.2.0
>            Reporter: Hu Liu,
>
> I'm testing the spark thrift server and found that all the DDL statements are run by user hive even if hive.server2.enable.doAs=true
> The root cause is that Hive object is shared between different thread in HiveClientImpl
> {code:java}
>   private def client: Hive = {
>     if (clientLoader.cachedHive != null) {
>       clientLoader.cachedHive.asInstanceOf[Hive]
>     } else {
>       val c = Hive.get(conf)
>       clientLoader.cachedHive = c
>       c
>     }
>   }
> {code}
> But in impersonation mode, we should just share the Hive object inside the thread so that the  metastore client in Hive could be associated with right user.
> we can  pass the Hive object of parent thread to child thread when running the sql to fix it
> I have already had a initial patch for review and I'm glad to work on it if anyone could assign it to me.



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