Hi all
I have to say that this solution surprise me. For the fist time I have such
a requirement but I would expect another more elegant solution.
I'm sure that many persons are doing the some as I'm and they would love to
have a better solution to such a problem.
Best Regards
Marcos
On Fri, Ju
Another option is merge partfiles after your app ends.
On 5 Jun 2015 20:37, "Akhil Das" wrote:
> you can simply do rdd.repartition(1).saveAsTextFile(...), it might not be
> efficient if your output data is huge since one task will be doing the
> whole writing.
>
> Thanks
> Best Regards
>
> On Fri
you can simply do rdd.repartition(1).saveAsTextFile(...), it might not be
efficient if your output data is huge since one task will be doing the
whole writing.
Thanks
Best Regards
On Fri, Jun 5, 2015 at 3:46 PM, marcos rebelo wrote:
> Hi all
>
> I'm running spark in a single local machine, no h
Just repartition to 1 partition before writing.
On Fri, Jun 5, 2015 at 3:46 PM, marcos rebelo wrote:
> Hi all
>
> I'm running spark in a single local machine, no hadoop, just reading and
> writing in local disk.
>
> I need to have a single file as output of my calculation.
>
> if I do "rdd.saveA
Hi all
I'm running spark in a single local machine, no hadoop, just reading and
writing in local disk.
I need to have a single file as output of my calculation.
if I do "rdd.saveAsTextFile(...)" all runs ok but I get allot of files.
Since I need a single file I was considering to do something li
