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Apache Spark Quick Start Guide

You're reading from   Apache Spark Quick Start Guide Quickly learn the art of writing efficient big data applications with Apache Spark

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781789349108
Length 154 pages
Edition 1st Edition
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Authors (2):
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Akash Grade Akash Grade
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Akash Grade
Shrey Mehrotra Shrey Mehrotra
Author Profile Icon Shrey Mehrotra
Shrey Mehrotra
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Summary

In this chapter, we discussed the life cycle of the Spark application, Spark components, and their roles in job execution. We first created a sample application in Python and used spark-submit to run our application. We discussed how the driver process constructs the DAG and its stages, and how tasks are scheduled on a cluster. In addition, we also discussed different execution modes offered by Spark in detail. Finally, we discussed possible ways to monitor your application.

In the next chapter, we shall discuss Spark SQL in detail.

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