that's true and that's the way we're doing it now but then we're only using
the first row to determine the number of splitted columns.
It could be that in the second (or last) row there are 10 new columns and
we'd like to know that too.
Probably a reduceby operator can be used to do that, but I'm hoping that
there is a better or another way,
thanks,
Richard
On Tue, Jan 19, 2016 at 4:22 PM, Sabarish Sasidharan <
sabarish.sasidharan@manthan.com> wrote:
> The most efficient to determine the number of columns would be to do a
> take(1) and split in the driver.
>
> Regards
> Sab
> On 19Jan2016 8:48 pm, "Richard Siebeling" <rsiebeling@gmail.com> wrote:
>
>> Hi,
>>
>> what is the most efficient way to split columns and know how many columns
>> are created.
>>
>> Here is the current RDD
>> 
>> ID STATE
>> 
>> 1 TX, NY, FL
>> 2 CA, OH
>> 
>>
>> This is the preferred output:
>> 
>> ID STATE_1 STATE_2 STATE_3
>> 
>> 1 TX NY FL
>> 2 CA OH
>> 
>>
>> With a separated with the new columns STATE_1, STATE_2, STATE_3
>>
>>
>> It looks like the following output is feasible using a ReduceBy operator
>> 
>> ID STATE_1 STATE_2 STATE_3 NEW_COLUMNS
>> 
>> 1 TX NY FL STATE_1, STATE_2,
>> STATE_3
>> 2 CA OH STATE_1, STATE_2
>> 
>>
>> Then in the reduce step, the distinct new columns can be calculated.
>> Is it possible to get the second output where next to the RDD the
>> new_columns are saved somewhere?
>> Or is the required to use the second approach?
>>
>> thanks in advance,
>> Richard
>>
>>
