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Machine Learning with Spark - Second Edition
book

Machine Learning with Spark - Second Edition

by Rajdeep Dua, Brian O'Neill, Stephen Boesch, Manpreet Singh Ghotra, Nick Pentreath
April 2017
Intermediate to advanced
532 pages
12h 39m
English
Packt Publishing
Content preview from Machine Learning with Spark - Second Edition

The producer application

Our producer needs to create a network connection and generate some random purchase event data to send over this connection. First, we will define our object and main method definition. We will then read the random names from the names.csv resource and create a set of products with prices, from which we will generate our random product events:

/**   * A producer application that generates random "product   * events", up to 5 per second, and sends them over a network    * connection */ object StreamingProducer {   def main(args: Array[String]) {     val random = new Random()     // Maximum number of events per second     val MaxEvents = 6     // Read the list of possible names     val namesResource =  this.getClass.getResourceAsStream("/names.csv") ...
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Publisher Resources

ISBN: 9781785889936