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

Chapter 13. Clustering

This chapter is about clustering servers, and particularly about  the causal clustering introduced in the Neo4j 3.2 Enterprise.

A cluster is a group of servers used to apply the proverbs, United we stand, divided we fall and E pluribus unum (Latin for several as one). To illustrate this, I will use several types of servers, two Linux laptops, and several Raspberry Pi.

As clustering is an enterprise version feature, it is not available in the community version. I will use the version 3.2.3 Enterprise in this chapter (available for free for 30 days on the Neo4j website).

This chapter covers the following topics:

  • The need for clustering
  • The concept of clustering
  • Building a cluster
  • Disaster recovery