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  • Book Overview & Buying Getting Started with Hazelcast
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Getting Started with Hazelcast

Getting Started with Hazelcast

By : Matthew Johns
4.1 (8)
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Getting Started with Hazelcast

Getting Started with Hazelcast

4.1 (8)
By: Matthew Johns
Buy this Book

Overview of this book

Table of Contents (18 chapters)
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Getting Started with Hazelcast
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Getting Started with Hazelcast
Credits
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Credits
About the Author
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About the Author
About the Reviewers
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About the Reviewers
www.PacktPub.com
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www.PacktPub.com
Preface
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Preface
Lock Free Chapter
1
What is Hazelcast?
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What is Hazelcast?
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Starting out as usual
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Data deciding to hang around
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Therein lies the problem
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Breaking the mould
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Moving to a new ground
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Summary
2
Getting off the Ground
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Getting off the Ground
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Let's get started
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Showing off straightaway
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Mapping back to the real world
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Sets, lists, and queues
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Many things at a time
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Searching and indexing
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What happens when we reach our limits?
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Summary
3
Going Concurrent
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Going Concurrent
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Atomic control
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Distributed locking
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Transactionally rolling on
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Spreading the word
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Summary
4
Divide and Conquer
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Divide and Conquer
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Divvying up the data
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Backups everywhere and nowhere
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Scaling up the cluster
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Grouping and separating nodes
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Network partitioning
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Summary
5
Listening Out
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Listening Out
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Listening to the goings-on
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The sound of our own data
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Programmatic configuration ahead of time
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Events unfolding in the wider world
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Moving data around the place
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Summary
6
Spreading the Load
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Spreading the Load
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All power to the compute
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Running once, running everywhere
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Placing tasks next to the data
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Summary
7
Typical Deployments
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Typical Deployments
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All heap and nowhere to go
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Stepping back from the cluster
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Serialization and classes
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Lite cluster members
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Architectural overview
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Summary
8
From the Outside Looking In
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From the Outside Looking In
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What about the rest of us?
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Memcache
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Going RESTful
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Summary
9
Going Global
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Going Global
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Getting setup in the cloud
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Under manual control
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Discovery – the Amazonian way
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Summary
10
Playing Well with Others
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Playing Well with Others
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Don't pass what you need, depend on it
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Transparently caching others' data
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Cacheable methods with the Spring cache
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Collection persistence
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Web session storage
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Management center
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Summary
1
Configuration Summary
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Configuration Summary
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XML configuration
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Programmatic configuration
2
Index
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Index

Chapter 3. Going Concurrent

Along with the simple distributed collections offered, Hazelcast also provides us with additional complementary capabilities, allowing us to further parallelize our applications. Some of these features come as standard within more traditional data stores, while others are inspired by similar technologies. In this chapter we will look at:

  • Atomic and consistent nature of simple collections

  • Distributed locking to provide a cluster wide mutex

  • Transactional support to cater for more complex operations

  • Cluster-wide atomic ID generator

  • JMS-like topics for broadcast messaging (publish, subscribe)

CONTINUE READING
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Tech Concepts
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Programming languages
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Getting Started with Hazelcast
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