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 – intentionally causing missing blocks


The next step should be obvious; let's kill three DataNodes in quick succession.

Tip

This is the first of the activities we mentioned that you really should not do on a production cluster. Although there will be no data loss if the steps are followed properly, there is a period when the existing data is unavailable.

The following are the steps to kill three DataNodes in quick succession:

  1. Restart all the nodes by using the following command:

    $ start-all.sh
    
  2. Wait until Hadoop dfsadmin -report shows four live nodes.

  3. Put a new copy of the test file onto HDFS:

    $ Hadoop fs -put file1.data file1.new
    
  4. Log onto three of the cluster hosts and kill the DataNode process on each.

  5. Wait for the usual 10 minutes then start monitoring the cluster via dfsadmin until you get output similar to the following that reports the missing blocks:

    
    Under replicated blocks: 123
    Blocks with corrupt replicas: 0
    Missing blocks: 33
    ----------------------------------------...