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 2014/11/28 15:46:12 UTC
[jira] [Commented] (SPARK-4648) Use available Coalesce function in
HiveQL instead of using HiveUDF. And support Coalesce in Spark SQL.
[ https://issues.apache.org/jira/browse/SPARK-4648?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14228312#comment-14228312 ]
Apache Spark commented on SPARK-4648:
-------------------------------------
User 'ravipesala' has created a pull request for this issue:
https://github.com/apache/spark/pull/3510
> Use available Coalesce function in HiveQL instead of using HiveUDF. And support Coalesce in Spark SQL.
> ------------------------------------------------------------------------------------------------------
>
> Key: SPARK-4648
> URL: https://issues.apache.org/jira/browse/SPARK-4648
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.1.0
> Reporter: Ravindra Pesala
>
> Currently HiveQL uses Hive UDF function for Coalesce. Usually using hive udfs are memory intensive. Since Coalesce function is already available in Spark , we can make use of it.
> And also support Coalesce function in Spar SQL
--
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