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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 – capturing network traffic in a log file


In the first instance, let's use a simple Flume configuration that will capture the network data to the main Flume log file.

  1. Create the following file as agent1.conf within your Flume working directory:

    agent1.sources = netsource
    agent1.sinks = logsink
    agent1.channels = memorychannel
    
    agent1.sources.netsource.type = netcat
    agent1.sources.netsource.bind = localhost
    agent1.sources.netsource.port = 3000
    
    agent1.sinks.logsink.type = logger
    
    agent1.channels.memorychannel.type = memory
    agent1.channels.memorychannel.capacity = 1000
    agent1.channels.memorychannel.transactionCapacity = 100
    
    agent1.sources.netsource.channels = memorychannel
    agent1.sinks.logsink.channel = memorychannel
  2. Start a Flume agent:

    $ flume-ng agent --conf conf --conf-file 10a.conf  --name agent1 
    

    The output of the preceding command can be shown in the following screenshot:

  3. In another window, open a telnet connection to port 3000 on the local host and then type some...

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