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  • Book Overview & Buying Getting Started with Hazelcast, Second Edition
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Getting Started with Hazelcast, Second Edition

Getting Started with Hazelcast, Second Edition

By : Matthew Johns
3.3 (3)
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Getting Started with Hazelcast, Second Edition

Getting Started with Hazelcast, Second Edition

3.3 (3)
By: Matthew Johns
Buy this Book

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.
Table of Contents (14 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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Trademarks
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1
1. What is Hazelcast?
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1. 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 new ground
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Summary
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2. Getting off the Ground
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2. 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
3. Going Concurrent
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3. 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
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4. Divide and Conquer
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4. 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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Having some of our data everywhere
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Grouping and separating nodes
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Network partitioning
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Maintaining quorum
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Summary
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5. Listening Out
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5. 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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Extending quorum
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Summary
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6. Spreading the Load
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6. 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
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7. Gathering Results
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7. Gathering Results
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What is this big data hype all about?
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Putting theory into practice
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Simplifying just aggregating up
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Summary
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8. Typical Deployments
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8. 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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Getting straight to the point
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Architectural overview
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Summary
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9. From the Outside Looking In
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9. 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
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10. Going Global
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10. Going Global
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Getting set up in the cloud
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Spreading out around the globe
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Summary
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11. Playing Well with Others
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11. 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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Caching by standard
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Collection persistence
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Web session storage
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Cluster management
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Summary
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A. Configuration Summary
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A. Configuration Summary
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Cluster name
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Management center
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General properties
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WAN replication configuration
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Local network/interface binding
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Cluster discovery (multicast-, unicast-, or EC2-based)
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Map configuration
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Listeners notified on map events
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Listeners notified on topic broadcast
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Cluster-wide listener registration
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Index
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Index

Chapter 3. Going Concurrent

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

  • The atomic and consistent nature of simple collections
  • Distributed locking, which is used to provide a cluster-wide mutex
  • Transactional support, which is used to cater to complex operations
  • The cluster-wide atomic ID generator
  • JMS-like topics for broadcast messaging (publish and subscribe)
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Tech Concepts
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Programming languages
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Getting Started with Hazelcast, Second Edition
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