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Getting Started with Hazelcast电子书

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6人正在读 | 0人评论 9.8

作       者:Mat Johns

出  版  社:Packt Publishing

出版时间:2013-08-27

字       数:25.9万

所属分类: 进口书 > 外文原版书 > 电脑/网络

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Written as a step-by-step guide, Getting Started with Hazelcast will teach you all you need to know to make your application data scalable.This book is a great introduction for Java developers, software architects, or developers looking to enable scalable and agile data within their applications. You should have programming knowledge of Java and a general familiarity with concepts like data caching and clustering.
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Getting Started with Hazelcast

Table of Contents

Getting Started with Hazelcast

Credits

About the Author

About the Reviewers

www.PacktPub.com

Support files, eBooks, discount offers, and more

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

Trademarks

1. What is Hazelcast?

Starting out as usual

Data deciding to hang around

Therein lies the problem

Breaking the mould

Moving to a new ground

Summary

2. Getting off the Ground

Let's get started

Showing off straightaway

Mapping back to the real world

Sets, lists, and queues

Many things at a time

Searching and indexing

What happens when we reach our limits?

Summary

3. Going Concurrent

Atomic control

Distributed locking

Tactical locking

Transactionally rolling on

Differences when queuing

Enterprising onwards

Collectively counting up

Spreading the word

Summary

4. Divide and Conquer

Divvying up the data

Backups everywhere and nowhere

Scaling up the cluster

Grouping and separating nodes

Network partitioning

Summary

5. Listening Out

Listening to the goings-on

The sound of our own data

Keyless collections

Programmatic configuration ahead of time

Events unfolding in the wider world

Moving data around the place

Summary

6. Spreading the Load

All power to the compute

Giving up when tasks take too long

Running once, running everywhere

Placing tasks next to the data

Self-updating results

Summary

7. Typical Deployments

All heap and nowhere to go

Stepping back from the cluster

Serialization and classes

Lite cluster members

Architectural overview

Peer-to-peer cluster

Clients and server cluster

Hybrid cluster

Summary

8. From the Outside Looking In

What about the rest of us?

Memcache

Going RESTful

Cluster status via REST

REST resilience

Summary

9. Going Global

Getting setup in the cloud

Under manual control

Discovery – the Amazonian way

Filtering the possibilities

Spreading out around the globe

Summary

10. Playing Well with Others

Don't pass what you need, depend on it

Simplifying collection access

Transparently caching others' data

Bring your own cluster

Cacheable methods with the Spring cache

Collection persistence

Web session storage

Management center

Summary

A. Configuration Summary

XML configuration

Programmatic configuration

Index

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