Perhaps you could time the end-to-end runtime for each pipeline, and each stage?
Through Id be fairly confidant that Spark will outperform hive/mahout on MR, that's not he only consideration - having everything on a single platform and the Spark / data frame API is a huge win just by itself — Sent from Mailbox On Wed, Aug 12, 2015 at 1:45 PM, Ladle <ladle.pa...@tcs.com> wrote: > Hi , > I have build the the machine learning features and model using Apache spark. > And the same features i have i build using hive,java and used mahout to run > model. > Now how can i show to customer that Apache Spark is more faster then hive. > Is there any tool that shows the time ? > Regards, > Ladle > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Is-there-any-tool-that-i-can-prove-to-customer-that-spark-is-faster-then-hive-tp24224.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org
