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Java: Data Science Made Easy
book

Java: Data Science Made Easy

by Richard M. Reese, Jennifer L. Reese, Alexey Grigorev
July 2017
Beginner to intermediate
715 pages
17h 3m
English
Packt Publishing
Content preview from Java: Data Science Made Easy

Creating and executing a new Hadoop job

We are now ready to create our main method in the same class and execute our map-reduce processes. To do this, we need to create a new Configuration object and a new Job. We then set up the significant classes to use in our application.

public static void main(String[] args) throws Exception {     Configuration con = new Configuration();     Job bookJob = Job.getInstance(con, "Average Page Count");     ... } 

We set our main class, AveragePageCount, in the setJarByClass method. We specify our TextMapper and AverageReduce classes using the setMapperClass and setReducerClass methods, respectively. We also specify that our output will have a text-based key and a writeable integer using the setOutputKeyClass and ...

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Publisher Resources

ISBN: 9781788475655Supplemental Content