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Getting Started with Hazelcast
Mat Johns
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Getting Started with HazelcastMat Johns
Written as a step-by-step guide, Getting Started with Hazelcast will teach you all you need to know to make your application data scalable.This book is a great introduction for Java developers, software architects, or developers looking to enable scalable and agile data within their applications. You should have programming knowledge of Java and a general familiarity with concepts like data caching and clustering.
Written as a step-by-step guide, Getting Started with Hazelcast will teach you all you need to know to make your application data scalable.This book is a great introduction for Java developers, software architects, or developers looking to enable scalable and agile data within their applications. You should have programming knowledge of Java and a general familiarity with concepts like data caching and clustering.
简介
Written as a step-by-step guide, Getting Started with Hazelcast will teach you all you need to know to make your application data scalable.This book is a great introduction for Java developers, software architects, or developers looking to enable scalable and agile data within their applications. You should have programming knowledge of Java and a general familiarity with concepts like data caching and clustering.
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出版社Packt Publishing
出版时间2013年8月
字数149,773
分类计算机-编程设计
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Getting Started with Hazelcast
Mat Johns
- 扉页
- 版权信息+书签
- Credits
- About the Author
- About the Reviewers
- www.PacktPub.com
- Preface
- Chapter 1. What is Hazelcast?
- Starting out as usual
- Data deciding to hang around
- Therein lies the problem
- Breaking the mould
- Moving to a new ground
- Summary
- Chapter 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
- Chapter 3. Going Concurrent
- Atomic control
- Distributed locking
- Transactionally rolling on
- Spreading the word
- Summary
- Chapter 4. Divide and Conquer
- Divvying up the data
- Backups everywhere and nowhere
- Scaling up the cluster
- Grouping and separating nodes
- Network partitioning
- Summary
- Chapter 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
- Summary
- Chapter 6. Spreading the Load
- All power to the compute
- Running once, running everywhere
- Placing tasks next to the data
- Summary
- Chapter 7. Typical Deployments
- All heap and nowhere to go
- Stepping back from the cluster
- Serialization and classes
- Lite cluster members
- Architectural overview
- Summary
- Chapter 8. From the Outside Looking In
- What about the rest of us?
- Memcache
- Going RESTful
- Summary
- Chapter 9. Going Global
- Getting setup in the cloud
- Under manual control
- Discovery – the Amazonian way
- Summary
- Chapter 10. Playing Well with Others
- Don t pass what you need, depend on it
- Transparently caching others data
- Cacheable methods with the Spring cache
- Collection persistence
- Web session storage
- Management center
- Summary
- Appendix A. Configuration Summary
- XML configuration
- Programmatic configuration
- Index
Getting Started with Hazelcast
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