Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Programming MapReduce with Scalding

You're reading from   Programming MapReduce with Scalding A practical guide to designing, testing, and implementing complex MapReduce applications in Scala

Arrow left icon
Product type Paperback
Published in Jun 2014
Publisher
ISBN-13 9781783287017
Length 148 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Antonios Chalkiopoulos Antonios Chalkiopoulos
Author Profile Icon Antonios Chalkiopoulos
Antonios Chalkiopoulos
Arrow right icon
View More author details
Toc

Table of Contents (11) Chapters Close

Preface 1. Introduction to MapReduce FREE CHAPTER 2. Get Ready for Scalding 3. Scalding by Example 4. Intermediate Examples 5. Scalding Design Patterns 6. Testing and TDD 7. Running Scalding in Production 8. Using External Data Stores 9. Matrix Calculations and Machine Learning Index

Conventions

In this book, you will find a number of styles of text that distinguish between different kinds of information. Here are some examples of these styles, and an explanation of their meaning.

Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, and user input are shown as follows: "A Map class to map lines into <key,value> pairs; for example, <"INFO",1>."

A block of code is set as follows:

LogLine    = load 'file.logs' as (level, message);
LevelGroup = group LogLine by level;
Result     = foreach LevelGroup generate group, COUNT(LogLine);
store Result into 'Results.txt';

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

import com.twitter.scalding._
 
class CalculateDailyAdPoints (args: Args) extends Job(args) {

  val logSchema = List ('datetime, 'user, 'activity, 'data,
   'session, 'location, 'response, 'device, 'error, 'server)

  val logs = Tsv("/log-files/2014/07/01", logSchema )
   .read
   .project('user,'datetime,'activity,'data)
   .groupBy('user) { group => group.sortBy('datetime) }
   .write(Tsv("/analysis/log-files-2014-07-01"))
}

Any command-line input or output is written as follows:

$ echo "This is a happy day. A day to remember" > input.txt
$ hadoop fs -mkdir -p hdfs:///data/input hdfs:///data/output
$ hadoop fs -put input.txt hdfs:///data/input/

New terms and important words are shown in bold.

Note

Warnings or important notes appear in a box like this.

Tip

Tips and tricks appear like this.

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime