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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 – killing a DataNode process


Firstly, we'll kill a DataNode. Recall that the DataNode process runs on each host in the HDFS cluster and is responsible for the management of blocks within the HDFS filesystem. Because Hadoop, by default, uses a replication factor of 3 for blocks, we should expect a single DataNode failure to have no direct impact on availability, rather it will result in some blocks temporarily falling below the replication threshold. Execute the following steps to kill a DataNode process:

  1. Firstly, check on the original status of the cluster and check whether everything is healthy. We'll use the dfsadmin command for this:

    $ Hadoop dfsadmin -report
    Configured Capacity: 81376493568 (75.79 GB)
    Present Capacity: 61117323920 (56.92 GB)
    DFS Remaining: 59576766464 (55.49 GB)
    DFS Used: 1540557456 (1.43 GB)
    DFS Used%: 2.52%
    Under replicated blocks: 0
    Blocks with corrupt replicas: 0
    Missing blocks: 0
    -------------------------------------------------
    Datanodes available...
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