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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
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Shrey Mehrotra
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Toc

Spark RDD

Resilient Distributed Datasets (RDDs) are the basic building block of a Spark application. An RDD represents a read-only collection of objects distributed across multiple machines. Spark can distribute a collection of records using an RDD and process them in parallel on different machines.

In this chapter, we shall learn about the following:

    • What is an RDD?
    • How do you create RDDs?
    • Different operations available to work on RDDs
    • Important types of RDD
    • Caching an RDD
    • Partitions of an RDD
    • Drawbacks of using RDDs

The code examples in this chapter are written in Python and Scala only. If you wish to go through the Java and R APIs, you can visit the Spark documentation page at https://spark.apache.org/.

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