[jira] [Updated] (SPARK-13337) DataFrame join-on-columns function should support null-safe equal

2019-05-20 Thread Hyukjin Kwon (JIRA)


 [ 
https://issues.apache.org/jira/browse/SPARK-13337?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Hyukjin Kwon updated SPARK-13337:
-
Labels: bulk-closed  (was: )

> 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-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org



[jira] [Updated] (SPARK-13337) DataFrame join-on-columns function should support null-safe equal

2016-02-16 Thread Sean Owen (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-13337?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Sean Owen updated SPARK-13337:
--
Component/s: SQL

> 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
>
> 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
(v6.3.4#6332)

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



[jira] [Updated] (SPARK-13337) DataFrame join-on-columns function should support null-safe equal

2016-02-16 Thread Zhong Wang (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-13337?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Zhong Wang updated SPARK-13337:
---
Description: 
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.

  was:
Currently, the join-on-columns function:

def join(right: DataFrame, usingColumns: Seq[String], joinType: String): 
DataFrame

performs a null-insafe join. It would be great if there is an option for 
null-safe join.


> 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
>Affects Versions: 1.6.0
>Reporter: Zhong Wang
>Priority: Minor
>
> 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
(v6.3.4#6332)

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