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 – creating a table for the UFO data


Perform the following steps to create a table for the UFO data:

  1. Start the Hive interactive shell:

    $ hive
    
  2. Create a table for the UFO data set, splitting the statement across multiple lines for easy readability:

    hive> CREATE TABLE ufodata(sighted STRING, reported STRING, sighting_location STRING,    > shape STRING, duration STRING, 
    description STRING COMMENT 'Free text description')

    COMMENT 'The UFO data set.' ;
    

    You should see the following lines once you are done:

    OK
    Time taken: 0.238 seconds
    
  3. List all existing tables:

    hive> show tables;
    

    You will receive the following output:

    OK
    ufodata
    Time taken: 0.156 seconds
    
  4. Show tables matching a regular expression:

    hive> show tables '.*data';
    

    You will receive the following output:

    OK
    ufodata
    Time taken: 0.065 seconds
    
  5. Validate the table specification:

    hive> describe ufodata;
    

    You will receive the following output:

    OK
    sighted  string  
    reported  string  
    sighting_location  string  
    shape...