Getting Started with Hazelcast - Second Edition电子书

Getting Started with Hazelcast Second Edition

Table of Contents

Getting Started with Hazelcast Second Edition

Credits

About the Author

About the Reviewers

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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 new ground

Playing around with our data

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

Having some of our data everywhere

Grouping and separating nodes

Network partitioning

Maintaining quorum

Summary

5. Listening Out

Listening to the goings-on

The sound of our own data

Continuously querying

Listeners racing into action

Keyless collections

Programmatic configuration ahead of time

Events unfolding in the wider world

Moving data around the place

Extending quorum

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

Partitioning control by name

Self-updating results

In-place entry processing

Summary

7. Gathering Results

What is this big data hype all about?

Trying to make sense of it all

Combining data where possible

Putting theory into practice

Combining results as we go

Simplifying just aggregating up

Summary

8. Typical Deployments

All heap and nowhere to go

Stepping back from the cluster

Serialization and classes

Getting straight to the point

Architectural overview

Peer-to-peer clusters

Smart clients and server clusters

Dummy client proxying through a single node

Summary

9. From the Outside Looking In

What about the rest of us?

Memcache

Going RESTful

Cluster status via REST

REST resilience

Summary

10. Going Global

Getting set up in the cloud

Under manual control

Discovery – the Amazonian way

Filtering the possibilities

Spreading out around the globe

Summary

11. 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

Caching by standard

Collection persistence

Web session storage

Cluster management

JMX statistics

Summary

A. Configuration Summary

Cluster name

Management center

General properties

WAN replication configuration

Local network/interface binding

Cluster discovery (multicast-, unicast-, or EC2-based)

Map configuration

Maximum size and eviction

Backup copies

Age expiry and idle expiry times

Map merge policy

Selected WAN replication configuration

Indexes on values

Listeners notified on map events

Listeners notified on topic broadcast

Cluster-wide listener registration

Index