Book Image

Learning Neo4j 3.x - Second Edition

By : Jerome Baton
Book Image

Learning Neo4j 3.x - Second Edition

By: Jerome Baton

Overview of this book

Neo4j is a graph database that allows traversing huge amounts of data with ease. This book aims at quickly getting you started with the popular graph database Neo4j. Starting with a brief introduction to graph theory, this book will show you the advantages of using graph databases along with data modeling techniques for graph databases. You'll gain practical hands-on experience with commonly used and lesser known features for updating graph store with Neo4j's Cypher query language. Furthermore, you'll also learn to create awesome procedures using APOC and extend Neo4j's functionality, enabling integration, algorithmic analysis, and other advanced spatial operation capabilities on data. Through the course of the book you will come across implementation examples on the latest updates in Neo4j, such as in-graph indexes, scaling, performance improvements, visualization, data refactoring techniques, security enhancements, and much more. By the end of the book, you'll have gained the skills to design and implement modern spatial applications, from graphing data to unraveling business capabilities with the help of real-world use cases.

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Table of Contents (24 chapters)
Title Page
Title Page
Credits
Credits
About the Authors
About the Authors
Acknowledgement
Acknowledgement
About the Reviewers
About the Reviewers
www.PacktPub.com
www.PacktPub.com
Customer Feedback
Customer Feedback
Preface
Preface
Free Chapter
1
Graph Theory and Databases
Graph Theory and Databases
Introducing Neo4j 3.x and a history of graphs
Definition and usage of the graph theory
Background
The Property Graph model of graph databases
Why use graph databases, or not
Test questions
Summary
2
Getting Started with Neo4j
Getting Started with Neo4j
Key concepts and characteristics of Neo4j
Sweet spot use cases of Neo4j
The features
The license conditions
Installing Neo4j
Using Neo4j in a cloud environment
Sandbox
Using Neo4j in a Docker container
Test questions
Summary
3
Modeling Data for Neo4j
Modeling Data for Neo4j
The four fundamental data constructs
How to start modeling for graph databases
A graph model – a simple, high-fidelity model of reality
Graph modeling – best practices and pitfalls
Test questions
Summary
4
Getting Started with Cypher
Getting Started with Cypher
Writing the Cypher syntax
Key attributes of Cypher
Being crude with the data
Key operative words in Cypher
Syntax norms
More that you need to know
The Cypher refcard
The openCypher project
Summary
5
Awesome Procedures on Cypher - APOC
Awesome Procedures on Cypher - APOC
Installing APOC
Verifying APOC installation
Functions and procedures
My preferred usages 
Several key usages
Test questions
Summary
6
Extending Cypher
Extending Cypher
Building an extension project
Custom aggregators
Unmanaged extensions
Summary
7
Query Performance Tuning
Query Performance Tuning
Explain and profile instructions
Indexes
Rules of thumb
Summary
8
Importing Data into Neo4j
Importing Data into Neo4j
LOAD CSV
Importing from a JSON source
Importing from a JDBC source
Importing from an XML source 
Summary
9
Going Spatial
Going Spatial
What is spatial?
What is so spatial then?
Neo4j spatial
Removing all the geo data
Summary
10
Security
Security
Authentication and authorization
Roles
Users management
Linking Neo4j to an LDAP directory
Configuring Neo4j to use LDAP
Test questions
Summary
11
Visualizations for Neo4j
Visualizations for Neo4j
The power of graph visualizations
Open source visualization libraries
Closing remarks on visualizations - pitfalls and issues
Cytoscape example
Questions and answers
Summary
12
Data Refactoring with Neo4j
Data Refactoring with Neo4j
Preliminary step
Simple changes
Great changes
Consequences
Summary
13
Clustering
Clustering
Why set up a cluster?
Concepts
Building a cluster
Disaster recovery
Summary
14
Use Case Example - Recommendations
Use Case Example - Recommendations
Recommender systems dissected
Using a graph model for recommendations
Specific query examples for recommendations
Business variations on recommendations
Fraud detection systems
Access control systems
Social networking systems
Questions and answers
Summary
15
Use Case Example - Impact Analysis and Simulation
Use Case Example - Impact Analysis and Simulation
Impact analysis systems dissected
Impact simulation in a cost calculation environment
Questions and answers
Summary
16
Tips and Tricks
Tips and Tricks
Reset password
Enabling SSH on a Raspberry Pi
Creating guides for the Neo4j browser
Data backup and restore
Tools
Community projects
Online documentation
Community
More proverbs

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...
Previous Section
End of Section 4
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