You are using the wrong RDD, use the returned RDD as following.
val repartitionedRDD = results.repartition(20)
println(repartitionedRDD.partitions.size)
On Sat, Jan 2, 2016 at 10:38 AM, jimitkr <ji...@softpath.net> wrote:
> Hi,
>
> I'm trying to test some custom parallelism and repartitioning in spark.
>
> First, i reduce my RDD (forcing creation of 10 partitions for the same).
>
> I then repartition the data to 20 partitions and print out the number of
> partitions, but i always get 10. Looks like the repartition command is
> getting ignored.
>
> How do i get repartitioning to work? See code below:
>
> val
> results=input.reduceByKey((x,y)=>x+y,10).persist(StorageLevel.DISK_ONLY)
> results.repartition(20)
> println(results.partitions.size)
>
>
>
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Best Regards
Jeff Zhang
