On Fri, Dec 4, 2015 at 11:24 AM, Anfernee Xu <anfernee...@gmail.com> wrote:
> If multiple users are looking at the same data set, then it's good choice > to share the SparkContext. > > But my usercases are different, users are looking at different data(I use > custom Hadoop InputFormat to load data from my data source based on the > user input), the data might not have any overlap. For now I'm taking below > approach > Still if you want fine grained sharing of compute resources as well, you want to using single SparkContext.
