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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