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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

Distributed locking

In building a broad scalable application, one aspect we tend to lose is our ability to restrict and prevent concurrent activity. Within a single JVM we would use a synchronized lock to gatekeeper, a section of functionality from concurrent execution. Once we move away from a single JVM, this problem becomes a much bigger issue. Traditional approaches would leverage a transactional database to provide a system for locking, in the form of a table rowlock or transactional state. However, this approach presents us with a single point of failure and concurrency issues when scaling up our application.

Hazelcast offers a distributed locking facility, allowing us to attempt to acquire a cluster-wide named lock and to gatekeeper the functionality behind it. If we can create an example class LockingExample, we can demonstrate this ability.

public class LockingExample {
  public static void main(String[] args) throws Exception {
    HazelcastInstance hz = Hazelcast.newHazelcastInstance...
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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