Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Scala Data Analysis Cookbook (new)

You're reading from   Scala Data Analysis Cookbook (new) Navigate the world of data analysis, visualization, and machine learning with over 100 hands-on Scala recipes

Arrow left icon
Product type Paperback
Published in Oct 2015
Publisher
ISBN-13 9781784396749
Length 254 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Arun Manivannan Arun Manivannan
Author Profile Icon Arun Manivannan
Arun Manivannan
Arrow right icon
View More author details
Toc

Table of Contents (9) Chapters Close

Preface 1. Getting Started with Breeze 2. Getting Started with Apache Spark DataFrames FREE CHAPTER 3. Loading and Preparing Data – DataFrame 4. Data Visualization 5. Learning from Data 6. Scaling Up 7. Going Further Index

Loading from RDBMS

As the final recipe on loading, let's try to load data from an RDBMS data source, which is MySQL in our case. This recipe assumes that you have already installed MySQL in your machine.

How to do it…

Let's go through the prerequisite steps first. If you already have a MySQL table to play with, you can safely ignore this step. We are just going to create a new database and a table and load some sample data into it.

The prerequisite step (optional):

  1. Creating a database and a table: This is achieved in MySQL by using the create database and the create table DDL:
    create database scalada;
    
    use scalada
    CREATE TABLE student (
    id varchar(20),
    `name` varchar(200),
    phone varchar(50),
    email varchar(200),
    PRIMARY KEY (id));
  2. Loading data into the table: Let's dump some data into the table. I wrote a very simple app to do this. Alternatively, you can use the load data infile command if you have "local-infile=1" enabled on your server and the client. Refer to...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime