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Posted to issues@spark.apache.org by "Xiao Li (JIRA)" <ji...@apache.org> on 2016/10/08 19:35:20 UTC
[jira] [Comment Edited] (SPARK-10972) UDFs in SQL joins
[ https://issues.apache.org/jira/browse/SPARK-10972?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15558581#comment-15558581 ]
Xiao Li edited comment on SPARK-10972 at 10/8/16 7:34 PM:
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Also try to use the SQL interface? It can be mixed with the Dataset/DataFrame APIs.
was (Author: smilegator):
Also try to use the SQL interface?
> 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
>
> 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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