If you would like a morr detailed walkthrough I wrote one recently. https://dataissexy.wordpress.com/2015/02/03/apache-spark-standalone-clusters-bigdata-hadoop-spark/
Regards Jason Bell On 22 Feb 2015 14:16, "VISHNU SUBRAMANIAN" <johnfedrickena...@gmail.com> wrote: > Try restarting your Spark cluster . > ./sbin/stop-all.sh > ./sbin/start-all.sh > > Thanks, > Vishnu > > On Sun, Feb 22, 2015 at 7:30 PM, Surendran Duraisamy < > 2013ht12...@wilp.bits-pilani.ac.in> wrote: > >> Hello All, >> >> I am new to Apache Spark, I am trying to run JavaKMeans.java from Spark >> Examples in my Ubuntu System. >> >> I downloaded spark-1.2.1-bin-hadoop2.4.tgz >> <http://www.apache.org/dyn/closer.cgi/spark/spark-1.2.1/spark-1.2.1-bin-hadoop2.4.tgz> >> and started sbin/start-master.sh >> >> After starting Spark and access http://localhost:8080/ to look at the >> status of my Spark Instance, and it shows as follows. >> >> >> - *URL:* spark://vm:7077 >> - *Workers:* 0 >> - *Cores:* 0 Total, 0 Used >> - *Memory:* 0.0 B Total, 0.0 B Used >> - *Applications:* 0 Running, 4 Completed >> - *Drivers:* 0 Running, 0 Completed >> - *Status:* ALIVE >> >> Number of Cores is 0 and Memory is 0.0B. I think because of this I am >> getting following error when I try to run JavaKMeans.java >> >> "Initial job has not accepted any resources; check your cluster UI to >> ensure that workers are registered and have sufficient memory" >> >> Am I missing any configuration before running sbin/start-master.sh? >> Regards, >> Surendran >> > >
