I don't think there would be any issues since MLlib is part of Spark as
against being an external package. Most of the problems I've had to deal
were because of the existence of both versions of Python on a system, and
not Python 3 itself.
On Wed, Jun 22, 2016 at 3:51 PM, John Aherne
Thanks Saurabh!
That explode function looks like it is exactly what I need.
We will be using MLlib quite a lot - Do I have to worry about python
versions for that?
John
On Wed, Jun 22, 2016 at 4:34 PM, Saurabh Sardeshpande
wrote:
> Hi John,
>
> If you can do it in Hive,
Hi John,
If you can do it in Hive, you should be able to do it in Spark. Just make
sure you import HiveContext instead of SQLContext.
If your intent is to explore rather than get stuff done, I've not aware of
any RDD operations that do this for you, but there is a DataFrame operation
called
Hi Everyone,
I am pretty new to Spark (and the mailing list), so forgive me if the
answer is obvious.
I have a dataset, and each row contains a start date and end date.
I would like to explode each row so that each day between the start and end
dates becomes its own row.
e.g.
row1 2015-01-01