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Hadoop Beginner's Guide

You're reading from Hadoop Beginner's Guide Get your mountain of data under control with Hadoop. This guide requires no prior knowledge of the software or cloud services ‚Äì just a willingness to learn the basics from this practical step-by-step tutorial.

Product type Paperback

Published in Feb 2013

Publisher Packt

ISBN-13 9781849517300

Length 398 pages

Edition 1st Edition

Tools

Hadoop

Concepts

Data Processing

Table of Contents (19) Chapters

Hadoop Beginner's Guide

Credits

About the Author

About the Reviewers

www.PacktPub.com

Preface

1. What It's All About

2. Getting Hadoop Up and Running FREE CHAPTER

3. Understanding MapReduce

4. Developing MapReduce Programs

5. Advanced MapReduce Techniques

6. When Things Break

7. Keeping Things Running

8. A Relational View on Data with Hive

9. Working with Relational Databases

10. Data Collection with Flume

11. Where to Go Next

Pop Quiz Answers

Index

Counters, status, and other output

At the end of every MapReducejob, we see output related to counters such as the following output:

12/02/12 06:28:51 INFO mapred.JobClient: Counters: 22
12/02/12 06:28:51 INFO mapred.JobClient:   Job Counters 
12/02/12 06:28:51 INFO mapred.JobClient:     Launched reduce tasks=1
12/02/12 06:28:51 INFO mapred.JobClient:     Launched map tasks=18
12/02/12 06:28:51 INFO mapred.JobClient:     Data-local map tasks=18
12/02/12 06:28:51 INFO mapred.JobClient:   SkippingTaskCounters
12/02/12 06:28:51 INFO mapred.JobClient:     MapProcessedRecords=61393
…

It is possible to add user-defined counters that will likewise be aggregated from all tasks and reported in this final output as well as in the MapReduce web UI.

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