Did you try setting .set("spark.cores.max", "20")
Thanks
Best Regards
On Wed, Feb 25, 2015 at 10:21 PM, Akshat Aranya wrote:
> I have Spark running in standalone mode with 4 executors, and each
> executor with 5 cores each (spark.executor.cores=5). However, when I'm
> processing an RDD with ~9
I have Spark running in standalone mode with 4 executors, and each executor
with 5 cores each (spark.executor.cores=5). However, when I'm processing
an RDD with ~90,000 partitions, I only get 4 parallel tasks. Shouldn't I
be getting 4x5=20 parallel task executions?
