Seen directly in the code:
/**
* Aggregate function: returns the average of the values in a group.
* Alias for avg.
*
* @group agg_funcs
* @since 1.4.0
*/
def mean(e: Column): Column = avg(e)
That's the same when the argument is the column name.
So no difference between mean and avg functions.
________________________________
De : Aseem Bansal <asmbans...@gmail.com>
Envoyé : lundi 24 juillet 2017 13:34
À : user
Objet : Is there a difference between these aggregations
If I want to aggregate mean and subtract from my column I can do either of the
following in Spark 2.1.0 Java API. Is there any difference between these?
Couldn't find anything from reading the docs.
dataset.select(mean("mycol"))
dataset.agg(mean("mycol"))
dataset.select(avg("mycol"))
dataset.agg(avg("mycol"))
