11. Playing Well with Others | Getting Started with Hazelcast, Second Edition

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Table Of Contents

Getting Started with Hazelcast, Second Edition

By : Matthew Johns

3.3 (3)

Getting Started with Hazelcast, Second Edition

3.3 (3)

By: Matthew Johns

Overview of this book

This book is a great introduction for Java developers, software architects, or DevOps looking to enable scalable and agile data within their applications. Providing in-memory object storage, cluster-wide state and messaging, or even scalable task execution, Hazelcast helps solve a number of issues that have troubled technologists for years.

Preface

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Trademarks

Free Chapter

1. What is Hazelcast?

1. What is Hazelcast?

Starting out as usual

Data deciding to hang around

Therein lies the problem

Breaking the mould

Moving to new ground

Summary

2. Getting off the Ground

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

3. Going Concurrent

Atomic control

Distributed locking

Transactionally rolling on

Spreading the word

Summary

4. Divide and Conquer

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

5. Listening Out

Listening to the goings-on

The sound of our own data

Programmatic configuration ahead of time

Events unfolding in the wider world

Moving data around the place

Extending quorum

Summary

6. Spreading the Load

6. Spreading the Load

All power to the compute

Running once, running everywhere

Placing tasks next to the data

Summary

7. Gathering Results

7. Gathering Results

What is this big data hype all about?

Putting theory into practice

Simplifying just aggregating up

Summary

8. Typical Deployments

8. Typical Deployments

All heap and nowhere to go

Stepping back from the cluster

Serialization and classes

Getting straight to the point

Architectural overview

Summary

9. From the Outside Looking In

9. From the Outside Looking In

What about the rest of us?

Memcache

Going RESTful

Summary

10. Going Global

10. Going Global

Getting set up in the cloud

Spreading out around the globe

Summary

11. Playing Well with Others

11. Playing Well with Others

Don't pass what you need, depend on it

Transparently caching others' data

Cacheable methods with the Spring cache

Caching by standard

Collection persistence

Web session storage

Cluster management

Summary

A. Configuration 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

Listeners notified on map events

Listeners notified on topic broadcast

Cluster-wide listener registration

Index

Index

Caching by standard

As our applications have scaled up and beyond, caching has become more commonplace in various technologies. As we have seen from our earlier examples, there are lots of different ways and libraries to help us cache data within our application. However, most of these libraries use their own self-defined interfaces, so what if we want to move between technologies? As we have seen earlier, JPA provides a standardized way to persistently store data, with a number of technologies providing compliant implementations, so what if there was an equivalent for relatively short-term cache data?

Well, now, there is, in the form of the long awaited standard, JCache.

In order to use it, first, we will need to add the JCache API library to our classpath; if we are using a dependency manager such as Maven, this should be pretty trivial.

<dependency>
  <groupId>javax.cache</groupId>
  <artifactId>cache-api</artifactId>
  <version>1.0.0</version>
...

CONTINUE READING

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Programming languages

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