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Learning Hadoop 2

You're reading from   Learning Hadoop 2 Design and implement data processing, lifecycle management, and analytic workflows with the cutting-edge toolbox of Hadoop 2

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Product type Paperback
Published in Feb 2015
Publisher Packt
ISBN-13 9781783285518
Length 382 pages
Edition 1st Edition
Tools
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Toc

Table of Contents (13) Chapters Close

Preface 1. Introduction FREE CHAPTER 2. Storage 3. Processing – MapReduce and Beyond 4. Real-time Computation with Samza 5. Iterative Computation with Spark 6. Data Analysis with Apache Pig 7. Hadoop and SQL 8. Data Lifecycle Management 9. Making Development Easier 10. Running a Hadoop Cluster 11. Where to Go Next Index

Command-line access to the HDFS filesystem


Within the Hadoop distribution, there is a command-line utility called hdfs, which is the primary way to interact with the filesystem from the command line. Run this without any arguments to see the various subcommands available. There are many, though; several are used to do things like starting or stopping various HDFS components. The general form of the hdfs command is:

hdfs <sub-command> <command> [arguments]

The two main subcommands we will use in this book are:

  • dfs: This is used for general filesystem access and manipulation, including reading/writing and accessing files and directories

  • dfsadmin: This is used for administration and maintenance of the filesystem. We will not cover this command in detail, though. Have a look at the -report command, which gives a listing of the state of the filesystem and all DataNodes:

    $ hdfs dfsadmin -report

Note

Note that the dfs and dfsadmin commands can also be used with the main Hadoop command...

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