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 <divya.htco...@gmail.com> 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: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
