Hi team, I am using spark SQL for accessing the amazon S3 bucket data. If I run a sql query by using normal SQL syntax like below
1) DataFrame d=sqlContext.sql(i.e. Select * from tablename where column_condition); Secondly, if I use dataframe functions for the same query like below :- 2) dataframe.select(column_name).where(column_condition); Now there is a question arising in my mind that which query would take more time to execute if I run both on the same dataset. Or both would execute in the same time duration. Please suggest your answer. Regards, Hitesh Goyal Simpli5d Technologies Cont No.: 9996588220
