Spark - How to run a standalone cluster locally

Question

Is there the possibility to run the Spark standalone cluster locally on just one machine (which is basically different from just developing jobs locally (i.e., lo

Answer 1

A small update as for the latest version (the 2.1.0), the default is to bind the master to the hostname, so when starting a worker locally use the output of hostname:

./bin/spark-class org.apache.spark.deploy.worker.Worker  spark://`hostname`:7077 -c 1 -m 512M

And to run an example, simply run the following command:

bin/run-example SparkPi