Book Image

Hadoop Beginner's Guide

Book Image

Hadoop Beginner's Guide

Overview of this book

Data is arriving faster than you can process it and the overall volumes keep growing at a rate that keeps you awake at night. Hadoop can help you tame the data beast. Effective use of Hadoop however requires a mixture of programming, design, and system administration skills."Hadoop Beginner's Guide" removes the mystery from Hadoop, presenting Hadoop and related technologies with a focus on building working systems and getting the job done, using cloud services to do so when it makes sense. From basic concepts and initial setup through developing applications and keeping the system running as the data grows, the book gives the understanding needed to effectively use Hadoop to solve real world problems.Starting with the basics of installing and configuring Hadoop, the book explains how to develop applications, maintain the system, and how to use additional products to integrate with other systems.While learning different ways to develop applications to run on Hadoop the book also covers tools such as Hive, Sqoop, and Flume that show how Hadoop can be integrated with relational databases and log collection.In addition to examples on Hadoop clusters on Ubuntu uses of cloud services such as Amazon, EC2 and Elastic MapReduce are covered.
Table of Contents (19 chapters)
Hadoop Beginner's Guide
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
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...