Oracle is a perfectly reasonable endpoint for publishing data processed in Spark. I've got to assume he's using it that way and not as a stand in for HDFS?
On Friday, February 19, 2016, Jörn Franke <[email protected]> wrote: > Generally oracle db should not be used as a storage layer for spark due to > performance reasons. You should consider HDFS. This will help you also with > fault - tolerance. > > > On 19 Feb 2016, at 03:35, Divya Gehlot <[email protected] > <javascript:;>> wrote: > > > > Hi, > > I am a Spark job which connects to RDBMS (in mycase its Oracle). > > How can we check that complete data writing is successful? > > Can I use commit in case of success or rollback in case of failure ? > > > > > > > > Thanks, > > Divya > > --------------------------------------------------------------------- > To unsubscribe, e-mail: [email protected] <javascript:;> > For additional commands, e-mail: [email protected] <javascript:;> > > -- Russell Jurney twitter.com/rjurney [email protected] relato.io
