Yep - that's correct. As an optimization we save the shuffle output and re-use if if you execute a stage twice. So this can make A:B tests like this a bit confusing.
- Patrick On Friday, August 22, 2014, Nieyuan <qiushuiwuh...@gmail.com> wrote: > Because map-reduce tasks like join will save shuffle data to disk . So the > only diffrence with caching or no-caching version is : > >> .map { case (x, (n, i)) => (x, n)} > > > > ----- > Thanks, > Nieyuan > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Advantage-of-using-cache-tp12480p12634.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org <javascript:;> > For additional commands, e-mail: user-h...@spark.apache.org <javascript:;> > >