Georg, Sorry for dumb question. Help me to understand - if i do DF.select(A,B,C,D)*.distinct() *that would be same as above groupBy without agg in sql right ?
On Wed, May 30, 2018 at 12:17 AM, Chetan Khatri <chetan.opensou...@gmail.com > wrote: > I don't want to get any aggregation, just want to know rather saying > distinct to all columns any other better approach ? > > On Wed, May 30, 2018 at 12:16 AM, Irving Duran <irving.du...@gmail.com> > wrote: > >> Unless you want to get a count, yes. >> >> Thank You, >> >> Irving Duran >> >> >> On Tue, May 29, 2018 at 1:44 PM Chetan Khatri < >> chetan.opensou...@gmail.com> wrote: >> >>> Georg, I just want to double check that someone wrote MSSQL Server >>> script where it's groupby all columns. What is alternate best way to do >>> distinct all columns ? >>> >>> >>> >>> On Wed, May 30, 2018 at 12:08 AM, Georg Heiler < >>> georg.kf.hei...@gmail.com> wrote: >>> >>>> Why do you group if you do not want to aggregate? >>>> Isn't this the same as select distinct? >>>> >>>> Chetan Khatri <chetan.opensou...@gmail.com> schrieb am Di., 29. Mai >>>> 2018 um 20:21 Uhr: >>>> >>>>> All, >>>>> >>>>> I have scenario like this in MSSQL Server SQL where i need to do >>>>> groupBy without Agg function: >>>>> >>>>> Pseudocode: >>>>> >>>>> >>>>> select m.student_id, m.student_name, m.student_std, m.student_group, >>>>> m.student_d >>>>> ob from student as m inner join general_register g on m.student_id = >>>>> g.student_i >>>>> d group by m.student_id, m.student_name, m.student_std, >>>>> m.student_group, m.student_dob >>>>> >>>>> I tried to doing in spark but i am not able to get Dataframe as return >>>>> value, how this kind of things could be done in Spark. >>>>> >>>>> Thanks >>>>> >>>> >>> >
