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  • Book Overview & Buying Neo4j High Performance
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Neo4j High Performance

Neo4j High Performance

By : Sonal Raj
1 (1)
Buy this Book
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Neo4j High Performance

Neo4j High Performance

1 (1)
By: Sonal Raj
Buy this Book

Overview of this book

If you are a professional or enthusiast who has a basic understanding of graphs or has basic knowledge of Neo4j operations, this is the book for you. Although it is targeted at an advanced user base, this book can be used by beginners as it touches upon the basics. So, if you are passionate about taming complex data with the help of graphs and building high performance applications, you will be able to get valuable insights from this book.
Table of Contents (10 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Getting Started with Neo4j
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1. Getting Started with Neo4j
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Graphs and their utilities
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Types of NoSQL databases
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The Neo4j graph database
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The Neo4j setup and configurations
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Configure Neo4j for Amazon clusters
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Cloud deployment with Azure
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Summary
2
2. Querying and Indexing in Neo4j
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2. Querying and Indexing in Neo4j
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The Neo4j interface
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Introduction to Cypher
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Cypher graph operations
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Advanced Cypher tricks
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Gremlin – an overview
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Indexing in Neo4j
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Migration techniques for SQL users
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Useful code snippets
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Summary
3
3. Efficient Data Modeling with Graphs
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3. Efficient Data Modeling with Graphs
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Data models
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Property graphs
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Design constraints in Neo4j
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Graph modeling techniques
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Schema design patterns
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Modeling across multiple domains
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Summary
4
4. Neo4j for High-volume Applications
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4. Neo4j for High-volume Applications
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Graph processing
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Big data and graphs
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Processing with Hadoop or Neo4j
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Managing transactions
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The graphalgo package
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Introduction to Spring Data Neo4j
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Summary
5
5. Testing and Scaling Neo4j Applications
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5. Testing and Scaling Neo4j Applications
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Testing Neo4j applications
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Unit testing
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Performance testing
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Benchmarking performance with Gatling
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Scaling Neo4j applications
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Summary
6
6. Neo4j Internals
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6. Neo4j Internals
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Introduction to Neo4j internals
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Working of your code
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Storage for properties
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Caching internals
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Cache types
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Transactions
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High availability
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Summary
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7. Administering Neo4j
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7. Administering Neo4j
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Interfacing with the tools and frameworks
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Admin tricks
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Memory mapped I/O configuration
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Neo4j server logging
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Neo4j server security
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Summary
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8. Use Case – Similarity-based Recommendation System
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8. Use Case – Similarity-based Recommendation System
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The why and how of recommendations
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Building a recommendation system
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Recommendations on map data
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Visualization of graphs
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Summary
9
Index
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Index

Cache types

Neo4j maintains two separate caches for nodes and relationships that can be configured to have a variable upper bound in terms of size, which can be configured by the max_node_cache_size and max_relationship_cache_size options of the database. The implementations of caching techniques in Neo4j can be explored in the org.neo4j.kernel.impl.cache package. Neo4j provides four different types of caches built into the default package:

Cache type

Property

NoCache

This is degenerate and stores nothing

LruCache

This utilizes LinkedHashMap of the java.util package along with a custom method to remove the oldest entry when deallocating space—removeEldestEntry(); this makes it an adaptable LRU cache

SoftLruCache

An LruCache using soft values to store references and queues for garbage-collected reference instances

WeakLruCache

An LruCache using hard values to store references and queues for garbage-collected reference instances

Note

Weak and soft references are the basis of the behavior...

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Neo4j High Performance
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