Hi there, I would like to check with you whether there is any equivalent functions of Oracle's analytical functions in Spark SQL.
For example, if I have following data set (table T): *EID|DEPT* *101|COMP* *102|COMP* *103|COMP* *104|MARK* In Oracle, I can do something like *select EID, DEPT, count(1) over (partition by DEPT) CNT from T;* to get: *EID|DEPT|CNT* *101|COMP|3* *102|COMP|3* *103|COMP|3* *104|MARK|1* Can we do an equivalent query in Spark-SQL? Or what is the best method to get such results in Spark dataframes? Thank you, Gireesh
