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Learning Neo4j 3.x

You're reading from   Learning Neo4j 3.x Effective data modeling, performance tuning and data visualization techniques in Neo4j

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Product type Paperback
Published in Oct 2017
Publisher Packt
ISBN-13 9781786466143
Length 316 pages
Edition 2nd Edition
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Authors (2):
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Jerome Baton Jerome Baton
Author Profile Icon Jerome Baton
Jerome Baton
Rik Van Bruggen Rik Van Bruggen
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Rik Van Bruggen
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Toc

Table of Contents (17) Chapters Close

Preface 1. Graph Theory and Databases FREE CHAPTER 2. Getting Started with Neo4j 3. Modeling Data for Neo4j 4. Getting Started with Cypher 5. Awesome Procedures on Cypher - APOC 6. Extending Cypher 7. Query Performance Tuning 8. Importing Data into Neo4j 9. Going Spatial 10. Security 11. Visualizations for Neo4j 12. Data Refactoring with Neo4j 13. Clustering 14. Use Case Example - Recommendations 15. Use Case Example - Impact Analysis and Simulation 16. Tips and Tricks

Importing from a JDBC source


Using Apoc, it's also possible to import data from a relational database, providing it has a Java driver. The first thing that you have to do is download the JDBC driver for your database and drop it into the plugins folder of your Neo4j installation. In this example, we will use MySQL. Let's set it up.

Test setup

In case you do not wish to install MySQL, you can use docker and run this command to start a MySQL running on port 3306, without a password for the root user:

docker run -e MYSQL_ALLOW_EMPTY_PASSWORD=yes -p 3306:3306 mysql

Connect with your favorite client (I use Squirrel) to enter some commands to create the data that we will import thereafter:

CREATE DATABASE learning
use learning;
CREATE TABLE operating_systems (id long not null, name VARCHAR(50), familly VARCHAR(50));
INSERT INTO operating_systems VALUES (1, "DEBIAN", "UNIX");
INSERT INTO operating_systems VALUES (2, "UBUNTU LINUX", "UNIX");
INSERT INTO operating_systems VALUES (3, "LINUX MINT", "UNIX...
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