Book Image

Apache Spark 2.x Cookbook

By : Rishi Yadav
Book Image

Apache Spark 2.x Cookbook

By: Rishi Yadav

Overview of this book

While Apache Spark 1.x gained a lot of traction and adoption in the early years, Spark 2.x delivers notable improvements in the areas of API, schema awareness, Performance, Structured Streaming, and simplifying building blocks to build better, faster, smarter, and more accessible big data applications. This book uncovers all these features in the form of structured recipes to analyze and mature large and complex sets of data. Starting with installing and configuring Apache Spark with various cluster managers, you will learn to set up development environments. Further on, you will be introduced to working with RDDs, DataFrames and Datasets to operate on schema aware data, and real-time streaming with various sources such as Twitter Stream and Apache Kafka. You will also work through recipes on machine learning, including supervised learning, unsupervised learning & recommendation engines in Spark. Last but not least, the final few chapters delve deeper into the concepts of graph processing using GraphX, securing your implementations, cluster optimization, and troubleshooting.
Table of Contents (19 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Introduction


Graph analysis is much more commonplace in our life than we think. To take the most common example, when we ask a Global Positioning System (GPS) to find the shortest route to a destination, it uses a graph-processing algorithm.

Let's start by understanding graphs. A graph is a representation of a set of vertices, where some pairs of vertices are connected by edges. When these edges move from one direction to another, it's called a directed graph or digraph.

GraphX is the Spark API for graph processing. It provides a wrapper around an RDD called a resilient distributed property graph. The property graph is a directed multigraph, with properties attached to each vertex and edge.

There are two types of graphs—directed graphs (digraphs) and regular graphs. Directed graphs have edges that run in one direction; for example, from vertex A to vertex B. A Twitter follower is a good example of a digraph. If John is David's Twitter follower, it does not mean that David is John's follower...