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Getting Started with Hazelcast
最新章節(jié)：
Index
Writtenasastep-by-stepguide,GettingStartedwithHazelcastwillteachyouallyouneedtoknowtomakeyourapplicationdatascalable.ThisbookisagreatintroductionforJavadevelopers,softwarearchitects,ordeveloperslookingtoenablescalableandagiledatawithintheirapplications.YoushouldhaveprogrammingknowledgeofJavaandageneralfamiliaritywithconceptslikedatacachingandclustering.
目錄(77章)
倒序
- 封面
- 版權(quán)信息
- 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 更新時(shí)間：2021-08-06 16:57:02
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