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Neo4j High Performance

By : Sonal Raj
Book Image

Neo4j High Performance

By: Sonal Raj

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Neo4j High Performance
Sonal Raj
Mar, 2015 | 192 pages
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Table of Contents (15 chapters)
Neo4j High Performance
Neo4j High Performance
Credits
Credits
About the Author
About the Author
About the Reviewers
About the Reviewers
www.PacktPub.com
www.PacktPub.com
Preface
Preface
Free Chapter
1
Getting Started with Neo4j
Getting Started with Neo4j
Graphs and their utilities
Types of NoSQL databases
The Neo4j graph database
The Neo4j setup and configurations
Configure Neo4j for Amazon clusters
Cloud deployment with Azure
Summary
2
Querying and Indexing in Neo4j
Querying and Indexing in Neo4j
The Neo4j interface
Introduction to Cypher
Cypher graph operations
Advanced Cypher tricks
Gremlin – an overview
Indexing in Neo4j
Migration techniques for SQL users
Useful code snippets
Summary
3
Efficient Data Modeling with Graphs
Efficient Data Modeling with Graphs
Data models
Property graphs
Design constraints in Neo4j
Graph modeling techniques
Schema design patterns
Modeling across multiple domains
Summary
4
Neo4j for High-volume Applications
Neo4j for High-volume Applications
Graph processing
Big data and graphs
Processing with Hadoop or Neo4j
Managing transactions
The graphalgo package
Introduction to Spring Data Neo4j
Summary
5
Testing and Scaling Neo4j Applications
Testing and Scaling Neo4j Applications
Testing Neo4j applications
Unit testing
Performance testing
Benchmarking performance with Gatling
Scaling Neo4j applications
Summary
6
Neo4j Internals
Neo4j Internals
Introduction to Neo4j internals
Working of your code
Storage for properties
Caching internals
Cache types
Transactions
High availability
Summary
7
Administering Neo4j
Administering Neo4j
Interfacing with the tools and frameworks
Admin tricks
Memory mapped I/O configuration
Neo4j server logging
Neo4j server security
Summary
8
Use Case – Similarity-based Recommendation System
Use Case – Similarity-based Recommendation System
The why and how of recommendations
Building a recommendation system
Recommendations on map data
Visualization of graphs
Summary
Index
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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