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Stream Processing with Apache Flink
book

Stream Processing with Apache Flink

by Fabian Hueske, Vasiliki Kalavri
April 2019
Beginner to intermediate
308 pages
8h 31m
English
O'Reilly Media, Inc.
Content preview from Stream Processing with Apache Flink

Chapter 4. Setting Up a Development Environment for Apache Flink

Now that we have all that knowledge, it’s time to get our hands dirty and start developing Flink applications! In this chapter, you will learn how to set up an environment to develop, run, and debug Flink applications. We will start by discussing the required software and where you can get the code examples of this book. Using these examples, we will show how Flink applications are executed and debugged in an IDE. Finally, we show how to bootstrap a Flink Maven project, the starting point for a new application.

Required Software

First, let’s discuss the software you need to develop Flink applications. You can develop and execute Flink applications on Linux, macOS, and Windows. However, UNIX-based setups enjoy the richest tooling support because this environment is preferred by most Flink developers. We will be assuming a UNIX-based setup in the rest of this chapter. As a Windows user you can use the Windows subsystem for Linux (WSL), Cygwin, or a Linux virtual machine to run Flink in a UNIX environment.

Flink’s DataStream API is available for Java and Scala. Hence, a Java JDK is required to implement Flink DataStream applications—Java JDK 8 (or higher). A Java JRE is not sufficient.

We assume the following software is installed as well, although it is not strictly required to develop Flink applications:

  • Apache Maven 3.x. The code examples of the book use Maven build management. Moreover, Flink provides Maven archetypes ...

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Publisher Resources

ISBN: 9781491974285Errata Page