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Spark Cookbook

You're reading from   Spark Cookbook With over 60 recipes on Spark, covering Spark Core, Spark SQL, Spark Streaming, MLlib, and GraphX libraries this is the perfect Spark book to always have by your side

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Product type Paperback
Published in Jul 2015
Publisher
ISBN-13 9781783987061
Length 226 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 (14) Chapters Close

Preface 1. Getting Started with Apache Spark 2. Developing Applications with Spark FREE CHAPTER 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

Streaming Twitter data

Twitter is a famous microblogging platform. It produces a massive amount of data with around 500 million tweets sent each day. Twitter allows its data to be accessed by APIs and that makes it the poster child of testing any big data streaming application.

In this recipe, we will see how we can live stream data in Spark using Twitter streaming libraries. Twitter is just one source of providing the streaming data to Spark and has no special status. Therefore, there are no built-in libraries for Twitter. Spark does provide some APIs to facilitate integration with Twitter libraries, though.

An example use of live Twitter data feed can be to find trending tweets in the last 5 minutes.

How to do it...

  1. Create a Twitter account if you do not already have one.
  2. Go to http://apps.twitter.com.
  3. Click on Create New App.
  4. Enter Name, Description, Website, and Callback URL, and then click on Create your Twitter Application.
    How to do it...
  5. You will reach Application Management screen.
  6. Navigate to Keys and...
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