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.
Table of Contents (24 chapters)
Title Page
Credits
About the Authors
Acknowledgement
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface

Building a cluster


The hardware elements that we will use are as follows:

  • Two laptops as core servers, running Linux, connected to a home WiFi network
  • Two raspberry Pi, 2 and 3, running as core servers

Read replica servers will be running as Docker containers. There will be five replicas running on my main laptop.

In a typical deployment, there are more read replicas than core servers. Of course, you can use any machine you want as long as it can connect to a network and run Neo4j. This can be more PCs, Macs, or any brand of credit card-sized computer running Linux.

Here, in a home environment, all servers are on the same network, plugged on the same router, and mostly in the same room (or not because of wifi and long cables). However, it is still relevant as an example and probably one of the cheapest options to do a cluster with hardware.

In a business environment, you may have to talk to your IT service, declare the machines, list which ports they use, and ask for safe passage of the network...