Any difference between using agg or select to do the aggregations?
On Mon, Jul 24, 2017 at 5:08 PM, yohann jardin <yohannjar...@hotmail.com>
wrote:
> 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"))
>
