Search icon CANCEL
Subscription
0
Cart icon
Cart
Close icon
You have no products in your basket yet
Save more on your purchases!
Savings automatically calculated. No voucher code required
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Apache Spark 2.x Cookbook

You're reading from  Apache Spark 2.x Cookbook

Product type Book
Published in May 2017
Publisher
ISBN-13 9781787127265
Pages 294 pages
Edition 1st Edition
Languages
Author (1):
Rishi Yadav Rishi Yadav
Profile icon Rishi Yadav
Toc

Table of Contents (19) Chapters close

Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Getting Started with Apache Spark 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

Inferring schema using case classes


In schema-aware formats, such as Parquet and JSON. This is far from the reality, though. A lot of the time data comes in raw format. The next two recipes will cover how to attach a schema to raw data. 

In an ideal world, data is stored in schema-aware formats, such as Parquet and JSON. This is far from the reality, though. A lot of the time, data comes in raw format. The next two recipes will cover how to attach a schema to raw data. Case classes are special classes in Scala that provide you with the boilerplate implementation of the constructor, getters (accessors), equals, and hashCode to implement Serializable. Case classes work really well to encapsulate data as objects. Readers familiar with Java, can relate it to plain old Java objects (POJOs) or Java beans.

The beauty of case classes is that all that grunt work, which is required in Java, can be done with the case classes in a single line of code. Spark uses the reflection feature of the Java programming...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $15.99/month. Cancel anytime