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Weiqiang Zhuang commented on SPARK-6817: ---------------------------------------- We did see both apply use cases. But the block/group/column oriented apply is more important if we can have it earlier. > DataFrame UDFs in R > ------------------- > > Key: SPARK-6817 > URL: https://issues.apache.org/jira/browse/SPARK-6817 > Project: Spark > Issue Type: New Feature > Components: SparkR, SQL > Reporter: Shivaram Venkataraman > Attachments: SparkR UDF Design Documentation v1.pdf > > > This depends on some internal interface of Spark SQL, should be done after > merging into Spark. -- 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