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Apache Spark 2.x Cookbook

You're reading from   Apache Spark 2.x Cookbook Over 70 cloud-ready recipes for distributed Big Data processing and analytics

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Product type Paperback
Published in May 2017
Publisher
ISBN-13 9781787127265
Length 294 pages
Edition 1st Edition
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Author (1):
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Rishi Yadav Rishi Yadav
Author Profile Icon Rishi Yadav
Rishi Yadav
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with Apache Spark FREE CHAPTER 2. Developing Applications with Spark 3. Spark SQL 4. Working with External Data Sources 5. Spark Streaming 6. Getting Started with Machine Learning 7. Supervised Learning with MLlib — Regression 8. Supervised Learning with MLlib — Classification 9. Unsupervised Learning 10. Recommendations Using Collaborative Filtering 11. Graph Processing Using GraphX and GraphFrames 12. Optimizations and Performance Tuning

Developing a Spark applications in Eclipse with Maven


Maven as a build tool has become the de-facto standard over the years. It's not surprising if we look a little deeper into what Maven brings. Maven has two primary features and they are:

  • Convention over configuration: Tools built prior to Maven gave developers the freedom to choose where to put source files, test files, compiled files, and so on. Maven takes away this freedom. Because of this, all the confusion about locations also disappears. In Maven, there is a specific directory structure for everything. The following table shows a few of the most common locations:

/src/main/scala

Source code in Scala

/src/main/java

Source code in Java

/src/main/resources

Resources to be used by the source code, such as configuration files

/src/test/scala

Test code in Scala

/src/test/java

Test code in Java

/src/test/resources

Resources to be used by the test code, such as configuration files

  • Declarative dependency management: In Maven, every library is defined...
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