Learning Neo4j 3.x by Baton, Jérôme -- Read -- Imperial Library of Trantor

Index

Title Page

Second Edition

Learning Neo4j 3.x

Second Edition

Credits About the Authors Acknowledgement About the Reviewers www.PacktPub.com

Why subscribe?

Customer Feedback Preface

What this book covers What you need for this book Who this book is for Conventions Reader feedback Customer support

Downloading the example code Errata Piracy Questions

Graph Theory and Databases

Introducing Neo4j 3.x and a history of graphs Definition and usage of the graph theory

Social studies Biological studies Computer science Flow problems Route problems Web search

Background

Navigational databases Relational databases NoSQL databases

Key-value stores Column-family stores Document stores Graph databases

The Property Graph model of graph databases

Node labels Relationship types

Why use graph databases, or not

Why use a graph database?

Complex queries In-the-clickstream queries on live data Pathfinding queries

When not to use a graph database and what to use instead

Large set-oriented queries Graph global operations Simple aggregate-oriented queries

Test questions Summary

Getting Started with Neo4j

Key concepts and characteristics of Neo4j

Built for graphs from the ground up Transactional ACID-compliant database Made for online transaction processing Designed for scalability A declarative query language - Cypher

Sweet spot use cases of Neo4j

Complex join-intensive queries

Pathfinding queries

Committed to open source

The features

The support

The license conditions Installing Neo4j

Installing Neo4j on Windows Installing Neo4j on Mac or Linux

Using Neo4j in a cloud environment Sandbox Using Neo4j in a Docker container

Installing Docker

Preparing the filesystem Running Neo4j in a Docker container

Test questions Summary

Modeling Data for Neo4j

The four fundamental data constructs How to start modeling for graph databases

What we know – ER diagrams and relational schemas Introducing complexity through join tables

A graph model – a simple, high-fidelity model of reality Graph modeling – best practices and pitfalls

Graph modeling best practices

Designing for query-ability Aligning relationships with use cases Looking for n-ary relationships Granulate nodes Using in-graph indexes when appropriate

Graph database modeling pitfalls

Using rich properties Node representing multiple concepts Unconnected graphs The dense node pattern

Test questions Summary

Getting Started with Cypher

Writing the Cypher syntax Key attributes of Cypher Being crude with the data

Create data Read data Update data Delete data

Key operative words in Cypher Syntax norms More that you need to know

With a little help from my friends

The Cypher refcard The openCypher project Summary

Awesome Procedures on Cypher - APOC

Installing APOC

On a hardware server On a Docker container

Verifying APOC installation Functions and procedures My preferred usages

A little help from a friend Graph overview

Several key usages

Setup Random graph generators PageRank Timeboxed execution of Cypher statements Linking of a collection of nodes There's more in APOC

Test questions Summary

Extending Cypher

Building an extension project

Creating a function Creating a procedure

Custom aggregators Unmanaged extensions

HTTP and JAX-RS refreshers

Registering Accessing

Streaming JSON responses

Summary

Query Performance Tuning

Explain and profile instructions

A query plan Operators

Indexes

Force index usage Force label usage

Rules of thumb

Explain all the queries Rows Do not overconsume Cartesian or not? Simplicity

Summary

Importing Data into Neo4j

LOAD CSV

Scaling the import

Importing from a JSON source Importing from a JDBC source

Test setup Importing all the systems

Importing from an XML source Summary

Going Spatial

What is spatial?

Refresher Not faulty towers

What is so spatial then?

Neo4j's spatial features APOC spatial features

Geocoding

Setting up OSM as provider Setting up Google as provider

Neo4j spatial

Online demo Features Importing OpenStreetMap data

Large OSM Imports

Easy way The tougher way to import data

Restroom please

Understanding WKT and BBOX

Removing all the geo data Summary

Security

Authentication and authorization Roles

Other roles

Users management Linking Neo4j to an LDAP directory

Starting the directory

Configuring Neo4j to use LDAP Test questions Summary

Visualizations for Neo4j

The power of graph visualizations

Why graph visualizations matter!

Interacting with data visually Looking for patterns Spot what's important

The basic principles of graph visualization

Open source visualization libraries

D3.js GraphViz Sigma.js Vivagraph.js yWorks Integrating visualization libraries in your application Visualization solutions

Gephi Keylines

Keylines graph visualization

Linkurio.us Neo4j Browser Tom Sawyer Software for graph visualization

Closing remarks on visualizations - pitfalls and issues

The fireworks effect The loading effect

Cytoscape example

Source code

Questions and answers Summary

Data Refactoring with Neo4j

Preliminary step Simple changes

Renaming Adding data

Adding data with a default value Adding data with specific values Checking our values

Removing data

Great changes

Know your model Refactoring tools Property to label Property to node Related node to label Merging nodes Relations

Consequences Summary

Clustering

Why set up a cluster? Concepts

Core servers Read replica servers High throughput Data redundancy High availability Bolt

Building a cluster

The core servers The read replicas The bolt+routing protocol

Disaster recovery Summary

Use Case Example - Recommendations

Recommender systems dissected Using a graph model for recommendations Specific query examples for recommendations

Recommendations based on product purchases Recommendations based on brand loyalty Recommendations based on social ties Bringing it all together - compound recommendations

Business variations on recommendations Fraud detection systems Access control systems Social networking systems Questions and answers Summary

Use Case Example - Impact Analysis and Simulation

Impact analysis systems dissected

Impact analysis in business process management Modeling your business as a graph

Which applications are used in which buildings? Which buildings are affected if something happens to Appl_9? What business processes with an RTO of 0-2 hours would be affected by a fire at location Loc_100?

Impact simulation in a cost calculation environment

Modeling your product hierarchy as a graph Working with a product hierarchy graph

Calculating the price based on a full sweep of the tree Calculating the price based on intermediate pricing Impact simulation on product hierarchy

Questions and answers Summary

Tips and Tricks

Reset password

Check for other hosts Getting the first line of a CSV file

Enabling SSH on a Raspberry Pi Creating guides for the Neo4j browser Data backup and restore

Community version Enterprise version

Tools

Cypher-shell Data integration tools Modeling tools

Arrows OmniGraffle

Community projects Online documentation Community More proverbs

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