Starting Spark daemons

If you are planning to use a standalone cluster manager, you need to start the Spark master and worker daemons which are the core components in Spark's architecture. Starting/stopping daemons varies slightly from distribution to distribution. Hadoop distributions such as Cloudera, Hortonworks, and MapR provide Spark as a service with YARN as the default resource manager. This means that all Spark applications will run on the YARN framework by default. But, we need to start spark master and worker roles to use Spark's standalone resource manager. If you are planning to use the YARN resource manager, you don't need to start these daemons. Please follow the following procedure depending on the type of distribution you are using. Downloading and installation instructions can be found in Chapter 2, Getting Started with Apache Hadoop and Apache Spark, for all these distributions.

Working with CDH

Cloudera Distribution for Hadoop (CDH) is an open source distribution including...