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Posted to issues@spark.apache.org by "Zhong Wang (JIRA)" <ji...@apache.org> on 2016/02/16 11:13:18 UTC
[jira] [Updated] (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 ]
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:
<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.
> 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.
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