Re: process of executing a program in a distributed environment without hadoop
Thanks for the question. The documentation here: https://spark.apache.org/docs/latest/submitting-applications.html#launching-applications-with-spark-submit enlists a variety of submission techniques. You can vary the Master URLs to suit your needs whether it be local/ yarn or mesos. - Neelesh S. Salian Cloudera -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/process-of-executing-a-program-in-a-distributed-environment-without-hadoop-tp26015p26039.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
Re: process of executing a program in a distributed environment without hadoop
If you are processing a file, then you can keep the same file in all machines in the same location and everything should work. Thanks Best Regards On Wed, Jan 20, 2016 at 11:15 AM, Kamaruddinwrote: > I want to execute a program in a distributed environment without using > hadoop > and only in spark cluster. What is the best way to use it? > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/process-of-executing-a-program-in-a-distributed-environment-without-hadoop-tp26015.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 > >