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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 – setting up the employee database


No discussion of databases is complete without the example of an employee table, so we will follow tradition and start there.

  1. Create a tab-separated file named employees.tsv with the following entries:

    Alice  Engineering  50000  2009-03-12
    BobSales  35000  2011-10-01
    Camille  Marketing  40000  2003-04-20
    David  Executive  75000  2001-03-20
    Erica  Support  34000  2011-07-07
  2. Connect to the MySQL server:

    $ mysql -u hadoopuser -p hadooptest
    
  3. Create the table:

    Mysql> create table employees(
    first_name varchar(10) primary key,
    dept varchar(15),
    salary int,
    start_date date
    ) ;
    
  4. Load the data from the file into the database:

    mysql> load data local infile '/home/garry/employees.tsv'
        -> into table employees
        -> fields terminated by '\t' lines terminated by '\n' ;
    

What just happened?

This is pretty standard database stuff. We created a tab-separated data file, created the table in the database, and then used the LOAD DATA LOCAL INFILE...

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