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Spark Cookbook

You're reading from  Spark Cookbook

Product type Book
Published in Jul 2015
Publisher
ISBN-13 9781783987061
Pages 226 pages
Edition 1st Edition
Languages
Author (1):
Rishi Yadav Rishi Yadav
Profile icon Rishi Yadav
Toc

Table of Contents (19) Chapters close

Spark Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Getting Started with Apache Spark 2. Developing Applications with Spark 3. External Data Sources 4. Spark SQL 5. Spark Streaming 6. Getting Started with Machine Learning Using MLlib 7. Supervised Learning with MLlib – Regression 8. Supervised Learning with MLlib – Classification 9. Unsupervised Learning with MLlib 10. Recommender Systems 11. Graph Processing Using GraphX 12. Optimizations and Performance Tuning Index

Developing a Spark application in IntelliJ IDEA with SBT


Before Eclipse became famous, IntelliJ IDEA was considered best of the breed in IDEs. IDEA has not shed its former glory yet and a lot of developers love IDEA. IDEA also has a community edition, which is free. IDEA provides native support for SBT, which makes it ideal for SBT and Scala development.

How to do it...

Perform the following steps to develop a Spark application on IntelliJ IDEA with SBT:

  1. Add the sbt-idea plugin.

  2. Add to the global plugin file:

    $mkdir /home/hduser/.sbt/0.13/plugins
    $echo addSbtPlugin("com.github.mpeltone" % "sbt-idea" % "1.6.0" )  > /home/hduser/.sbt/0.12/plugins/plugin.sbt
    

    Alternatively, you can add to your project as well:

    $cd <project-home>
    $ echo addSbtPlugin("com.github.mpeltone" % "sbt-idea" % "1.6.0" ) > plugin.sbt
    

IDEA is ready to use with SBT.

Now you can develop Spark code using Scala and build using SBT.

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