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if else in pyspark | when otherwise | case when | Lec-14 | spark interview questions
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In this video I have talked about how to transform dataframe in spark. In this video I have talked about distinct, drop duplicates, sort and many more concepts. Please do ask your doubts in comment section.
emp_data = [
(1,'manish',26,20000,'india','IT'),
(2,'rahul',None,40000,'germany','engineering'),
(3,'pawan',12,60000,'india','sales'),
(4,'roshini',44,None,'uk','engineering'),
(5,'raushan',35,70000,'india','sales'),
(6,None,29,200000,'uk','IT'),
(7,'adam',37,65000,'us','IT'),
(8,'chris',16,40000,'us','sales'),
(None,None,None,None,None,None),
(7,'adam',37,65000,'us','IT')
]
For more queries reach out to me on my below social media handle.
My Gear:-
My PC Components:-
emp_data = [
(1,'manish',26,20000,'india','IT'),
(2,'rahul',None,40000,'germany','engineering'),
(3,'pawan',12,60000,'india','sales'),
(4,'roshini',44,None,'uk','engineering'),
(5,'raushan',35,70000,'india','sales'),
(6,None,29,200000,'uk','IT'),
(7,'adam',37,65000,'us','IT'),
(8,'chris',16,40000,'us','sales'),
(None,None,None,None,None,None),
(7,'adam',37,65000,'us','IT')
]
For more queries reach out to me on my below social media handle.
My Gear:-
My PC Components:-
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