Hi Russell and Theodore, This usually means your Master / Workers / client machine are running different versions of Spark. On a local machine, you may want to restart your master and workers (sbin/stop-all.sh, then sbin/start-all.sh). On a real cluster, you want to make sure that every node (including the submit client) has the same Spark assembly jar before restarting the master and the workers.
Let me know if that fixes it. -Andrew 2014-10-08 13:29 GMT-07:00 rrussell25 <rrussel...@gmail.com>: > Theodore, did you ever get this resolved? I just ran into the same thing. > Before digging, I figured I'd ask. > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Running-Spark-cluster-on-local-machine-cannot-connect-to-master-error-tp12743p15972.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 > >
