all of them.
Sincerely,
DB Tsai
--
Blog: https://www.dbtsai.com
PGP Key ID: 0xAF08DF8D
On Wed, Jun 17, 2015 at 5:15 PM, Raghav Shankar wrote:
> So, I would add the assembly jar to the just the master or would I have to
> add it to all th
So, I would add the assembly jar to the just the master or would I have to add
it to all the slaves/workers too?
Thanks,
Raghav
> On Jun 17, 2015, at 5:13 PM, DB Tsai wrote:
>
> You need to build the spark assembly with your modification and deploy
> into cluster.
>
> Sincerely,
>
> DB Tsai
You need to build the spark assembly with your modification and deploy
into cluster.
Sincerely,
DB Tsai
--
Blog: https://www.dbtsai.com
PGP Key ID: 0xAF08DF8D
On Wed, Jun 17, 2015 at 5:11 PM, Raghav Shankar wrote:
> I’ve implemented this
I’ve implemented this in the suggested manner. When I build Spark and attach
the new spark-core jar to my eclipse project, I am able to use the new method.
In order to conduct the experiments I need to launch my app on a cluster. I am
using EC2. When I setup my master and slaves using the EC2 se
Having the following code in RDD.scala works for me. PS, in the following
code, I merge the smaller queue into larger one. I wonder if this will help
performance. Let me know when you do the benchmark.
def treeTakeOrdered(num: Int)(implicit ord: Ordering[T]): Array[T] = withScope {
if (num == 0)
