Spark can be run using the built-in standalone cluster scheduler in the local mode. This means that all the Spark processes are run within the same JVM-effectively, a single, multithreaded instance of Spark. The local mode is very used for prototyping, development, debugging, and testing. However, this mode can also be useful in real-world scenarios to perform parallel computation across multiple cores on a single computer.
As Spark's local mode is fully compatible with the cluster mode; programs written and tested locally can be run on a cluster with just a few additional steps.
The first step in setting up Spark locally is to download the latest version http://spark.apache.org/downloads.html, which ...
