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https://issues.apache.org/jira/browse/SPARK-10972?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15558577#comment-15558577
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Xiao Li commented on SPARK-10972:
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There is a workaround to fix it. You can specify the filter above join.
Yeah, the performance might be not as good as treating it as a join condition.
> 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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