Summary
In this chapter, we discussed how Spark works in a cluster mode with its underlying architecture. You also saw how to deploy a full Spark application on a cluster. You saw how to deploy cluster for running Spark application in different cluster modes such as local, standalone, YARN, and Mesos. Finally, you saw how to configure Spark cluster on AWS using EC2 script. We believe that this chapter will help you to gain some good understanding of Spark. Nevertheless, due to page limitation, we could not cover many APIs and their underlying functionalities.
If you face any issues, please don't forget to report this to Spark user mailing list at user@spark.apache.org. Before doing so, make sure that you have subscribed to it. In the next ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access