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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:34:42 UTC

[jira] [Resolved] (SPARK-10972) UDFs in SQL joins

     [ https://issues.apache.org/jira/browse/SPARK-10972?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-10972.
----------------------------------
    Resolution: Incomplete

> UDFs in SQL joins
> -----------------
>
>                 Key: SPARK-10972
>                 URL: https://issues.apache.org/jira/browse/SPARK-10972
>             Project: Spark
>          Issue Type: New Feature
>          Components: SQL
>    Affects Versions: 1.5.1
>            Reporter: Michael Malak
>            Priority: Major
>              Labels: bulk-closed
>
> Currently expressions used to .join() in DataFrames are limited to column names plus the operators exposed in org.apache.spark.sql.Column.
> It would be nice to be able to .join() based on a UDF, such as, say, euclideanDistance(col1, col2) < 0.1.



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