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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.

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Product type Paperback
Published in Feb 2013
Publisher Packt
ISBN-13 9781849517300
Length 398 pages
Edition 1st Edition
Tools
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Toc

Table of Contents (19) Chapters Close

Hadoop Beginner's Guide
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. What It's All About FREE CHAPTER 2. Getting Hadoop Up and Running 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

Time for action – starting Hadoop


Unlike the local mode of Hadoop, where all the components run only for the lifetime of the submitted job, with the pseudo-distributed or fully distributed mode of Hadoop, the cluster components exist as long-running processes. Before we use HDFS or MapReduce, we need to start up the needed components. Type the following commands; the output should look as shown next, where the commands are included on the lines prefixed by $:

  1. Type in the first command:

    $ start-dfs.sh
    starting namenode, logging to /home/hadoop/hadoop/bin/../logs/hadoop-hadoop-namenode-vm193.out
    localhost: starting datanode, logging to /home/hadoop/hadoop/bin/../logs/hadoop-hadoop-datanode-vm193.out
    localhost: starting secondarynamenode, logging to /home/hadoop/hadoop/bin/../logs/hadoop-hadoop-secondarynamenode-vm193.out
    
  2. Type in the second command:

    $ jps
    9550 DataNode
    9687 Jps
    9638 SecondaryNameNode
    9471 NameNode
    
  3. Type in the third command:

    $ hadoop dfs -ls /
    Found 2 items
    drwxr-xr-x   - hadoop...
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