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 – 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...