Right, I am aware on how to use connection pooling with oracle, but the specific question is how to use it in the context of spark job execution On 2 Apr 2015 17:41, "Ted Yu" <yuzhih...@gmail.com> wrote:
> http://docs.oracle.com/cd/B10500_01/java.920/a96654/connpoca.htm > > The question doesn't seem to be Spark specific, btw > > > > > > On Apr 2, 2015, at 4:45 AM, Sateesh Kavuri <sateesh.kav...@gmail.com> > wrote: > > > > Hi, > > > > We have a case that we will have to run concurrent jobs (for the same > algorithm) on different data sets. And these jobs can run in parallel and > each one of them would be fetching the data from the database. > > We would like to optimize the database connections by making use of > connection pooling. Any suggestions / best known ways on how to achieve > this. The database in question is Oracle > > > > Thanks, > > Sateesh >
