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Getting Started with Hazelcast（Second Edition）

Mat Johns 著

更新時間：2021-07-16 13:14:50

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ThisbookisagreatintroductionforJavadevelopers,softwarearchitects,orDevOpslookingtoenablescalableandagiledatawithintheirapplications.Providingin-memoryobjectstorage,cluster-widestateandmessaging,orevenscalabletaskexecution,Hazelcasthelpssolveanumberofissuesthathavetroubledtechnologistsforyears.

目錄(93章)

倒序

封面
版權信息
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 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
Having some of our data everywhere
Grouping and separating nodes
Network partitioning
Maintaining quorum
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
Extending quorum
Summary
Chapter 6. Spreading the Load
All power to the compute
Running once running everywhere
Placing tasks next to the data
Summary
Chapter 7. Gathering Results
What is this big data hype all about?
Putting theory into practice
Simplifying just aggregating up
Summary
Chapter 8. Typical Deployments
All heap and nowhere to go
Stepping back from the cluster
Serialization and classes
Getting straight to the point
Architectural overview
Summary
Chapter 9. From the Outside Looking In
What about the rest of us?
Memcache
Going RESTful
Summary
Chapter 10. Going Global
Getting set up in the cloud
Spreading out around the globe
Summary
Chapter 11. Playing Well with Others
Don't pass what you need depend on it
Transparently caching others' data
Cacheable methods with the Spring cache
Caching by standard
Collection persistence
Web session storage
Cluster management
Summary
Appendix A. Configuration Summary
Cluster name
Management center
General properties
WAN replication configuration
Local network/interface binding
Cluster discovery (multicast- unicast- or EC2-based)
Map configuration
Listeners notified on map events
Listeners notified on topic broadcast
Cluster-wide listener registration
Index 更新時間：2021-07-16 13:14:50

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Getting Started with Hazelcast（Second Edition）