The only UDAFs that we support today are those defined using the Hive UDAF
API. Otherwise you'll have to drop into Spark operations. I'd suggest
opening a JIRA.
On Tue, Mar 24, 2015 at 10:49 AM, jamborta <jambo...@gmail.com> wrote:
> Hi all,
>
> I have been trying out the new dataframe api in 1.3, which looks great by
> the way.
>
> I have found an example to define udfs and add them to select operations,
> like this:
>
> slen = F.udf(lambda s: len(s), IntegerType())
> df.select(df.age, slen(df.name).alias('slen')).collect()
>
> is it possible to to something similar with aggregates? Something like
> this:
>
> gdf = df.groupBy(df.name)
> gdf.agg(slen(df.age)).collect()
>
> thanks,
>
>
>
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