Nirav, Spark does not create a duplicate column when you use the below join expression, as an array of column(s) like below but that requires the column name to be same in both the data frames.
Example: df1.join(df2, [‘a’]) Thanks. Vamshi Talla On Jul 6, 2018, at 4:47 PM, Gokula Krishnan D <email2...@gmail.com<mailto:email2...@gmail.com>> wrote: Nirav, withColumnRenamed() API might help but it does not different column and renames all the occurrences of the given column. either use select() API and rename as you want. Thanks & Regards, Gokula Krishnan (Gokul) On Mon, Jul 2, 2018 at 5:52 PM, Nirav Patel <npa...@xactlycorp.com<mailto:npa...@xactlycorp.com>> wrote: Expr is `df1(a) === df2(a) and df1(b) === df2(c)` How to avoid duplicate column 'a' in result? I don't see any api that combines both. Rename manually? [What's New with Xactly]<https://nam05.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.xactlycorp.com%2Femail-click%2F&data=02%7C01%7C%7C8ab8d95c23f44dfb156708d5e381c938%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C636665068928877949&sdata=p4D%2FKz%2B%2Fd8wWFg9EGtNMRNcnYk5LlZmjQKx0TeWleDE%3D&reserved=0> [https://www.xactlycorp.com/wp-content/uploads/2017/09/insta.png]<https://nam05.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.instagram.com%2Fxactlycorp%2F&data=02%7C01%7C%7C8ab8d95c23f44dfb156708d5e381c938%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C636665068929034245&sdata=wtbLs3%2FABfsz8b1vN46EOcI22VZE1T5bhqOi9l1NFT0%3D&reserved=0> [https://www.xactlycorp.com/wp-content/uploads/2017/09/linkedin.png] <https://nam05.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fxactly-corporation&data=02%7C01%7C%7C8ab8d95c23f44dfb156708d5e381c938%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C636665068929034245&sdata=vyQkePM9Y3zG94CKUFJNtuAcEk6M60AtvhOjsHxBhbY%3D&reserved=0> [https://www.xactlycorp.com/wp-content/uploads/2017/09/twitter.png] <https://nam05.safelinks.protection.outlook.com/?url=https%3A%2F%2Ftwitter.com%2FXactly&data=02%7C01%7C%7C8ab8d95c23f44dfb156708d5e381c938%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C636665068929034245&sdata=tRidhL1X4x4TPWdUHfH8%2Bcw8r7MT9jrRh1%2BJyU0LGCg%3D&reserved=0> [https://www.xactlycorp.com/wp-content/uploads/2017/09/facebook.png] <https://nam05.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.facebook.com%2FXactlyCorp&data=02%7C01%7C%7C8ab8d95c23f44dfb156708d5e381c938%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C636665068929034245&sdata=kh0aKmjvcG1ox5%2FMjdI5Ib%2FMvTu4xomFPLUcWDyBir8%3D&reserved=0> [https://www.xactlycorp.com/wp-content/uploads/2017/09/youtube.png] <https://nam05.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.youtube.com%2Fxactlycorporation&data=02%7C01%7C%7C8ab8d95c23f44dfb156708d5e381c938%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C636665068929034245&sdata=sicYYnUCmLBbOnUpu2v3Mp7btkt%2FEGWVMHHC%2BqFIenE%3D&reserved=0>
