Yes, should be the same, as they are just different frontend, but the same thing in optimization / execution.
-----Original Message----- From: sanderg [mailto:s.gee...@wimionline.be] Sent: Tuesday, September 22, 2015 10:06 PM To: user@spark.apache.org Subject: Performance Spark SQL vs Dataframe API faster Is there a difference in performance between writing a spark job using only SQL statements and writing it using the dataframe api or does it translate to the same thing under the hood? -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Performance-Spark-SQL-vs-Dataframe-API-faster-tp24768.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
