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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

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 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 the integration with Twitter libraries, though.

An example use of a 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. Fill out the Name, Description, Website, and Callback URL fields and then click on Create your Twitter Application. You will receive a screen like this:
  1. You will reach...
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