[ https://issues.apache.org/jira/browse/SPARK-10972?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Michael Malak updated SPARK-10972: ---------------------------------- Description: 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. was: 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() < 0.1. > 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. -- 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