Neo4j High Performance

Sonal Raj

• Editorial: Packt Publishing
• Año: 2015
• ISBN:
  9781783555154
• Categoría: Informatik
• Categoría: Programmierung in Java

Neo4j High Performance

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Table of Contents

Neo4j High Performance

Credits

About the Author

About the Reviewers

www.PacktPub.com

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Why subscribe?

Free access for Packt account holders

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

1. Getting Started with Neo4j

Graphs and their utilities

Introducing NoSQL databases

Dynamic schemas

Automatic sharding

Built-in caching

Replication

Types of NoSQL databases

Key-value stores

Column family stores

Document databases

Graph databases

Graph compute engines

The Neo4j graph database

ACID compliance

Characteristics of Neo4j

The basic CRUD operations

The Neo4j setup and configurations

Modes of setup – the embedded mode

Modes of setup – the server mode

Neo4j high availability

Machine #1 – neo4j-01.local

Machine #2 – neo4j-02.local

Machine #3 – neo4j-03.local

Configure Neo4j for Amazon clusters

Cloud deployment with Azure

Summary

2. Querying and Indexing in Neo4j

The Neo4j interface

Running Cypher queries

Visualization of results

Introduction to Cypher

Cypher graph operations

Cypher clauses

More useful clauses

Advanced Cypher tricks

Query optimizations

Graph model optimizations

Gremlin – an overview

Indexing in Neo4j

Manual and automatic indexing

Schema-based indexing

Indexing benefits and trade-offs

Migration techniques for SQL users

Handling dual data stores

Analyzing the model

Initial import

Keeping data in sync

The result

Useful code snippets

Importing data to Neo4j

Exporting data from Neo4j

Summary

3. Efficient Data Modeling with Graphs

Data models

The aggregated data model

Connected data models

Property graphs

Design constraints in Neo4j

Graph modeling techniques

Aggregation in graphs

Graphs for adjacency lists

Materialized paths

Modeling with nested sets

Flattening with ordered field names

Schema design patterns

Hyper edges

Implementing linked lists

Complex similarity computations

Route generation algorithms

Modeling across multiple domains

Summary

4. Neo4j for High-volume Applications

Graph processing

Big data and graphs

Processing with Hadoop or Neo4j

Managing transactions

Deadlock handling

Uniqueness of entities

Events for transactions

The graphalgo package

Introduction to Spring Data Neo4j

Summary

5. Testing and Scaling Neo4j Applications

Testing Neo4j applications

Unit testing

Using the Java API

GraphUnit-based unit testing

Unit testing an embedded database

Unit testing a Neo4J server

Performance testing

Benchmarking performance with Gatling

Scaling Neo4j applications

Summary

6. Neo4j Internals

Introduction to Neo4j internals

Working of your code

Node and relationship management

Implementation specifics

Storage for properties

The storage structure

Migrating to the new storage

Caching internals

Cache types

AdaptiveCacheManager

Transactions

The Write Ahead log

Detecting deadlocks

RWLock

RAGManager

LockManager

Commands

High availability

HA and the need for a master

The master election

Summary

7. Administering Neo4j

Interfacing with the tools and frameworks

Using Neo4j for PHP developers

The JavaScript Neo4j adapter

Neo4j with Python

Admin tricks

Server configuration

JVM configurations

Caches

Memory mapped I/O configuration

Traversal speed optimization example

Batch insert example

Neo4j server logging

Server logging configurations

HTTP logging configurations

Garbage collection logging

Logical logs

Open file size limit on Linux

Neo4j server security

Port and remote connection security

Support for HTTPS

Server authorization rules

Setup server authorization rules enforcement

Security rules targeting with wildcards

Other security options

Summary

8. Use Case – Similarity-based Recommendation System

The why and how of recommendations

Collaborative filtering

Content-based filtering

The hybrid approach

Building a recommendation system

Recommendations on map data

Visualization of graphs

Summary

Index

Neo4j High Performance

Copyright © 2015 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

First published: February 2015

Production reference: 1250215

Published by Packt Publishing Ltd.

Livery Place

35 Livery Street

Birmingham B3 2PB, UK.

ISBN 978-1-78355-515-4

www.packtpub.com

Credits

Author

Sonal Raj

Reviewers

Roar Flolo

Dave Meehan

Kailash Nadh

Commissioning Editor

Kunal Parikh

Acquisition Editor

Shaon Basu

Content Development Editor

Akshay Nair

Technical Editor

Faisal Siddiqui

Copy Editors

Deepa Nambiar

Ashwati Thampi

Project Coordinator

Mary Alex

Proofreaders

Simran Bhogal

Maria Gould

Ameesha Green

Kevin McGowan

Jonathan Todd

Indexer

Hemangini Bari

Graphics

Abhinash Sahu

Valentina Dsilva

Production Coordinator

Alwin Roy

Cover Work

Alwin Roy

About the Author

Sonal Raj is a hacker, Pythonista, big data believer, and a technology dreamer. He has a passion for design and is an artist at heart. He blogs about technology, design, and gadgets at http://www.sonalraj.com/. When not working on projects, he can be found traveling, stargazing, or reading.

He has pursued engineering in computer science and loves to work on community projects. He has been a research fellow at SERC, IISc, Bangalore, and taken up projects on graph computations using Neo4j and Storm. Sonal has been a speaker at PyCon India and local meetups on Neo4j and has also published articles and research papers in leading magazines and international journals. He has contributed to several open source projects.

Presently, Sonal works at Goldman Sachs. Prior to this, he worked at Sigmoid Analytics, a start-up where he was actively involved in the development of machine learning frameworks, NoSQL databases, including Mongo DB and streaming using technologies such as Apache Spark.

I would like to thank my family for encouraging me, supporting my decisions, and always being there for me. I heartily want to thank all my friends who have always respected my passion for being part of open source projects and communities while reminding me that there is more to life than lines of code. Beyond this, I would like to thank the folks at Neo Technologies for the amazing product that can store the wo...