You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:12:22 UTC
[jira] [Resolved] (SPARK-13337) DataFrame join-on-columns function
should support null-safe equal
[ https://issues.apache.org/jira/browse/SPARK-13337?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-13337.
----------------------------------
Resolution: Incomplete
> DataFrame join-on-columns function should support null-safe equal
> -----------------------------------------------------------------
>
> Key: SPARK-13337
> URL: https://issues.apache.org/jira/browse/SPARK-13337
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 1.6.0
> Reporter: Zhong Wang
> Priority: Minor
> Labels: bulk-closed
>
> Currently, the join-on-columns function:
> {code}
> def join(right: DataFrame, usingColumns: Seq[String], joinType: String): DataFrame
> {code}
> performs a null-insafe join. It would be great if there is an option for null-safe join.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org