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Infinispan data grid platform definitive guide

Infinispan data grid platform definitive guide

4.5 (4)
Buy this Book
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Infinispan data grid platform definitive guide

Infinispan data grid platform definitive guide

4.5 (4)
Buy this Book

Overview of this book

This practical guide is intended for those who want to learn how to build extremely scalable applications. This book is easy to read and is aimed at Java enterprise developers with a solid knowledge of Java. However, no previous coding experience with Infinispan is required.
Table of Contents (14 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
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1. Getting Started
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Introducing the Infinispan data grid
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Infinispan and JSR 107 – Java Temporary Caching API
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Getting started with Infinispan
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Running the sample application
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Creating your first project
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Building Infinispan from source
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Contributing to the project
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Summary
2
2. Barriers to Scaling Data
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2. Barriers to Scaling Data
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Understanding performance and scalability
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Improving performance using Infinispan
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Improving scalability
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Points to consider about relational databases
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Scaling out your database
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Summary
3
3. Using the APIs
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3. Using the APIs
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Infinispan architecture
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Anatomy of an Infinispan clustered cache
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Configuring an Infinispan cache
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Infinispan APIs
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Persisting data in Infinispan
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Writing event listeners and notifications
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Introducing JSR-107 – The Java Caching API
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Summary
4
4. Infinispan Topologies
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4. Infinispan Topologies
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Clustering modes
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Summary
5
5. Data Access Patterns
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5. Data Access Patterns
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Data access patterns
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Understanding and configuring second-level cache in Hibernate with Infinispan
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Implementing the cache-aside programming pattern
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Reading and writing through cache
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Writing behind caching
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Summary
6
6. Case Study – The TicketMonster Application
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6. Case Study – The TicketMonster Application
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The JBoss developer framework
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Installing and running the TicketMonster application
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The TicketMonster application use cases
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Architecture and design of TicketMonster
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Scaling TicketMonster
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Adding Infinispan to Ticket Monster
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Summary
7
7. Understanding Transactions and Concurrency
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7. Understanding Transactions and Concurrency
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Transaction fundamentals
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Java Transaction API
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Transactional modes
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Transactional models
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Batch mode
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Transaction recovery
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Locking and concurrency control
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Summary
8
8. Managing and Monitoring Infinispan
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8. Managing and Monitoring Infinispan
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An overview of monitoring and managing with Java
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Interacting with Infinispan via JMX
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Other management tools
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Summary
9
9. Server Modules
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9. Server Modules
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Client/Server access
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Introduction to server modules
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Infinispan REST server
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Using the Hot Rod server
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Infinispan memcached server
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The Infinispan WebSocket server
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Introducing the command line interface (CLI)
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Summary
10
10. Getting Started with Hibernate OGM
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10. Getting Started with Hibernate OGM
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Introducing Hibernate OGM
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Installing and using Hibernate OGM
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Summary
11
11. An Introduction to JGroups
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11. An Introduction to JGroups
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Introduction to group communication
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Understanding the JGroups project
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The JGroups architecture
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Customizing JGroups settings on Infinispan
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Summary
12
12. Advanced Topics
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12. Advanced Topics
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Cross-site replication
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Integrating Infinispan with CDI
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Using the Map/Reduce API
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Improving the serialization process using externalizers
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Summary
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Index
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Index

Chapter 5. Data Access Patterns

In the previous chapter, we got an overview of the several cache topologies Infinispan provides.

This chapter will describe the key guidelines and design patterns we will need in order to design the data layer of an application. It will also describe how to configure Infinispan to use Hibernate second-level cache with Infinispan.

In this chapter, we will discuss the following topics:

  • Data access patterns
  • Understanding and configuring second-level cache in Hibernate with Infinispan
  • Implementing the cache-aside programming pattern
  • Reading and writing through cache
  • Writing behind cache
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Tech Concepts
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Programming languages
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