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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
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Index
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Index

What happens when we reach our limits?

As large as we may scale our cluster to handle ever-growing datasets, it is quite possible that we will want to configure a map to feature specific behavior. The main things we can customize the number of backup counts and types, limits on how big a particular map can grow plus what we do when we reach that limit, and defining a default lifespan for our entries. We can use the hazelcast.xml configuration to define this behavior for all maps or for an individual one. Now, we can copy the configuration from the unpacked download bin/hazelcast.xml to our working directory, and add a custom configuration for our capitals map.

<map name="capitals">

  <max-size policy="cluster_wide_map_size">10</max-size>
  <eviction-policy>LFU</eviction-policy>
  <eviction-percentage>20</eviction-percentage>

  <backup-count>1</backup-count>
  <async-backup-count>1</async-backup-count>

  <time-to-live...
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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