Window part for Order By clause. Kind Regards Salih
Oztop
From: Jerry jerry.c...@gmail.com
To: user user@spark.apache.org
Sent: Friday, August 14, 2015 5:50 PM
Subject: Another issue with using lag and lead with data frames
So it seems like dataframes aren't going give me a break and just
-resolution-using-spark
Kind Regards
Salih Oztop
07856128843
http://www.linkedin.com/in/salihoztop
From: Suraj Shetiya surajshet...@gmail.com
To: Michael Armbrust mich...@databricks.com
Cc: Salih Oztop soz...@yahoo.com; user@spark.apache.org
user@spark.apache.org; megha.sridh...@cynepia.com
Hi SurajWhat will be your output after group by? Since GroupBy is for
aggregations like sum, count etc.
If you want to count the 2015 records than it is possible. Kind Regards
Salih Oztop
From: Suraj Shetiya surajshet...@gmail.com
To: user@spark.apache.org
Sent: Tuesday, June 30, 2015
()
TypeError: unsupported operand type(s) for ** or pow(): 'Column' and 'int'
Moreover testing the functions individually they are working fine.pow(2,4)
162**4
16
Kind Regards
Salih Oztop
From: Bob Corsaro rcors...@gmail.com
To: user user@spark.apache.org
Sent: Monday, June 29, 2015 7:27 PM
Subject
Cc: Salih Oztop soz...@yahoo.com; user user@spark.apache.org
Sent: Monday, June 29, 2015 9:52 PM
Subject: Re: SparkSQL built in functions
Interesting. Looking at the definitions, sql.functions.pow is defined only for
(col,col). Just as an experiment, create a column with value 2 and see
