You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/09/24 23:27:04 UTC

[jira] [Commented] (SPARK-10810) Improve session management for SQL

    [ https://issues.apache.org/jira/browse/SPARK-10810?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14907062#comment-14907062 ] 

Apache Spark commented on SPARK-10810:
--------------------------------------

User 'davies' has created a pull request for this issue:
https://github.com/apache/spark/pull/8909

> Improve session management for SQL
> ----------------------------------
>
>                 Key: SPARK-10810
>                 URL: https://issues.apache.org/jira/browse/SPARK-10810
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>            Reporter: Davies Liu
>            Assignee: Davies Liu
>            Priority: Blocker
>
> Currently, we try to support multiple sessions in SQL within a Spark Context, but it's broken and not complete.
> We should isolate these for each session :
> 1) current database of Hive
> 2) SQLConf
> 3) UDF/UDAF/UDTF
> 4) temporary table
> For added jar and cached tables, they should be accessible for all sessions.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org