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Frank Kane's Taming Big Data with Apache Spark and Python

You're reading from   Frank Kane's Taming Big Data with Apache Spark and Python Real-world examples to help you analyze large datasets with Apache Spark

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787287945
Length 296 pages
Edition 1st Edition
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Concepts
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Author (1):
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Frank Kane Frank Kane
Author Profile Icon Frank Kane
Frank Kane
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Table of Contents (8) Chapters Close

Preface 1. Getting Started with Spark 2. Spark Basics and Spark Examples FREE CHAPTER 3. Advanced Examples of Spark Programs 4. Running Spark on a Cluster 5. SparkSQL, DataFrames, and DataSets 6. Other Spark Technologies and Libraries 7. Where to Go From Here? – Learning More About Spark and Data Science

Superhero degrees of separation - review the code and run it


Using breadth-first search, let's actually find the degrees of separation between two given superheroes in our Marvel superhero dataset. In the download package for this book, download the degrees-of-separation script into your SparkCourse folder. We'll work up a pretty good library here of different examples, so keep this handy. There's a good chance that some problem you face in the future will have a similar pattern to something we've already done here, and this might be a useful reference for you. Once you have downloaded that script, double-click it. We already have the Marvel-graph and Marvel-names text files for our input from previous sections.

Here is the degrees-of-separation script:

The point here is just to illustrate how problems that may not seem like they lend themselves to Spark at first, actually can be incremented in Spark with a little bit of creative thinking. I also want to introduce the concept of accumulators...

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