Ok, I misunderstood the meaning of the partition. In fact, my file is 1.7G
big and with less bigger file I have a different partitions size. Thanks
for this clarification.
On Fri, Dec 5, 2014 at 4:15 PM, Sean Owen <so...@cloudera.com> wrote:
> How big is your file? it's probably of a size that the Hadoop
> InputFormat would make 52 splits for it. Data drives partitions, not
> processing resource. Really, 8 splits is the minimum parallelism you
> want. Several times your # of cores is better.
>
> On Fri, Dec 5, 2014 at 8:51 AM, Jaonary Rabarisoa <jaon...@gmail.com>
> wrote:
> > Hi all,
> >
> > I'm trying to run some spark job with spark-shell. What I want to do is
> just
> > to count the number of lines in a file.
> > I start the spark-shell with the default argument i.e just with
> > ./bin/spark-shell.
> >
> > Load the text file with sc.textFile("path") and then call count on my
> data.
> >
> > When I do this, my data is always split in 52 partitions. I don't
> understand
> > why since I run it on a local machine with 8 cores and the
> > sc.defaultParallelism gives me 8.
> >
> > Even, if I load the file with sc.textFile("path",8), I always get
> > data.partitions.size = 52
> >
> > I use spark 1.1.1.
> >
> >
> > Any ideas ?
> >
> >
> >
> > Cheers,
> >
> > Jao
> >
>
