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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 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

Time for action – capturing a remote file in a local flat file


Let's show another example of capturing data to a file sink. This time we will use another Flume capability that allows it to receive data from a remote client.

  1. Create the following file as agent3.conf in the Flume working directory:

    agent3.sources = avrosource
    agent3.sinks = filesink
    agent3.channels = jdbcchannel
    
    agent3.sources.avrosource.type = avro
    agent3.sources.avrosource.bind = localhost
    agent3.sources.avrosource.port = 4000
    agent3.sources.avrosource.threads = 5
    
    agent3.sinks.filesink.type = FILE_ROLL
    agent3.sinks.filesink.sink.directory = /home/hadoop/flume/files
    agent3.sinks.filesink.sink.rollInterval = 0
    
    agent3.channels.jdbcchannel.type = jdbc
    
    agent3.sources.avrosource.channels = jdbcchannel
    agent3.sinks.filesink.channel = jdbcchannel
  2. Create a new test file as /home/hadoop/message2:

    Hello from Avro!
  3. Start the Flume agent:

    $ flume-ng agent –conf conf –conf-file agent3.conf –name agent3 
    
  4. In another window, use the Flume...

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