Hi Satish,
Take a look at the smvTopNRecs() function in the SMV package. It does
exactly what you are looking for. It might be overkill to bring in all of SMV
for just one function but you will also get a lot more than just DF helper
functions (modular views, higher level graphs, dynamic
Hi Hemant,
My dataframe "ordrd_emd_df" consist data in order as I have applied oderBy
in the first step
And also tried having "orderBy" method before "groupBy" than also getting
different results in each iteration
Regards,
Satish Chandra
On Wed, Feb 3, 2016 at 4:28 PM, Hemant Bhanawat
HI All,
I have data in a emp_df (DataFrame) as mentioned below:
EmpId Sal DeptNo
001 100 10
002 120 20
003 130 10
004 140 20
005 150 10
ordrd_emp_df = emp_df.orderBy($"DeptNo",$"Sal".desc) which results as
below:
DeptNo Sal EmpId
10 150
Missing order by?
Hemant Bhanawat
SnappyData (http://snappydata.io/)
On Wed, Feb 3, 2016 at 3:45 PM, satish chandra j
wrote:
> HI All,
> I have data in a emp_df (DataFrame) as mentioned below:
>
> EmpId Sal DeptNo
> 001 100 10
> 002 120 20
> 003
Ahh.. missed that.
I see that you have used "first" function. 'first' returns the first row it
has found. On a single executor it may return the right results. But, on
multiple executors, it will return the first row of any of the executor
which may not be the first row when the results are