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 – configuring MySQL to allow remote connections


We need to change the common default MySQL behavior, which will prevent us from accessing the database from other hosts.

  1. Edit /etc/mysql/my.cnf in your favorite text editor and look for this line:

    bind-address = 127.0.0.1
  2. Change it to this:

    # bind-address = 127.0.0.1
  3. Restart MySQL:

    $ restart mysql
    

What just happened?

Most out-of-the-box MySQL configurations allow access only from the same host on which the server is running. This is absolutely the correct default from a security standpoint. However, it can also cause real confusion if, for example, you launch MapReduce jobs that try to access the database on that host. You may see the job fail with connection errors. If that happens, you fire up the mysql command-line client on the host; this will succeed. Then, perhaps, you will write a quick JDBC client to test connectivity. This will also work. Only when you try these steps from one of the Hadoop worker nodes will the problem...