Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
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 Over 70 cloud-ready recipes for distributed Big Data processing and analytics

Arrow left icon
Product type Paperback
Published in May 2017
Publisher
ISBN-13 9781787127265
Length 294 pages
Edition 1st Edition
Languages
Concepts
Arrow right icon
Author (1):
Arrow left icon
Rishi Yadav Rishi Yadav
Author Profile Icon Rishi Yadav
Rishi Yadav
Arrow right icon
View More author details
Toc

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

Loading data from HDFS

HDFS is the second most widely used big data storage system after Amazon S3. One of the reasons for the wide adoption of HDFS is schema on read. What this means is that HDFS does not put any restriction on data when data is being written. Any and all kinds of data are welcome and can be stored in a raw format. This feature makes it the ideal storage for raw unstructured data and semi-structured data.

When it comes to reading data, even unstructured data needs to be given some structure to make sense. Hadoop uses InputFormat to determine how to read the data. Spark provides complete support for Hadoop's InputFormat, so anything that can be read by Hadoop can be read by Spark as well.

The default InputFormat is TextInputFormat. TextInputFormat takes the byte offset of a line as a key and the content of a line as a value. Spark uses the spark.read.textFile method to read using TextInputFormat...

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 $19.99/month. Cancel anytime
Banner background image