Getting Started with Hazelcast - Second Edition

Table of contents

1. Getting Started with Hazelcast Second Edition
   1. Table of Contents
   2. Getting Started with Hazelcast Second Edition
   3. Credits
   4. About the Author
   5. About the Reviewers
   6. www.PacktPub.com
      1. Support files, eBooks, discount offers, and more
         1. Why subscribe?
         2. Free access for Packt account holders
   7. Preface
      1. What this book covers
      2. What you need for this book
      3. Who this book is for
      4. Conventions
      5. Reader feedback
      6. Customer support
         1. Downloading the example code
         2. Errata
         3. Piracy
         4. Questions
      7. Trademarks
   8. 1. What is Hazelcast?
      1. Starting out as usual
      2. Data deciding to hang around
      3. Therein lies the problem
      4. Breaking the mould
      5. Moving to new ground
         1. Playing around with our data
      6. Summary
   9. 2. Getting off the Ground
      1. Let's get started
      2. Showing off straightaway
      3. Mapping back to the real world
      4. Sets, lists, and queues
      5. Many things at a time
      6. Searching and indexing
      7. What happens when we reach our limits?
      8. Summary
   10. 3. Going Concurrent
       1. Atomic control
       2. Distributed locking
          1. Tactical locking
       3. Transactionally rolling on
          1. Differences when queuing
          2. Enterprising onwards
          3. Collectively counting up
       4. Spreading the word
       5. Summary
   11. 4. Divide and Conquer
       1. Divvying up the data
       2. Backups everywhere and nowhere
       3. Scaling up the cluster
       4. Having some of our data everywhere
       5. Grouping and separating nodes
       6. Network partitioning
       7. Maintaining quorum
       8. Summary
   12. 5. Listening Out
       1. Listening to the goings-on
       2. The sound of our own data
          1. Continuously querying
          2. Listeners racing into action
          3. Keyless collections
       3. Programmatic configuration ahead of time
       4. Events unfolding in the wider world
       5. Moving data around the place
       6. Extending quorum
       7. Summary
   13. 6. Spreading the Load
       1. All power to the compute
          1. Giving up when tasks take too long
       2. Running once, running everywhere
       3. Placing tasks next to the data
          1. Partitioning control by name
          2. Self-updating results
          3. In-place entry processing
       4. Summary
   14. 7. Gathering Results
       1. What is this big data hype all about?
          1. Trying to make sense of it all
          2. Combining data where possible
       2. Putting theory into practice
          1. Combining results as we go
       3. Simplifying just aggregating up
       4. Summary
   15. 8. Typical Deployments
       1. All heap and nowhere to go
       2. Stepping back from the cluster
       3. Serialization and classes
       4. Getting straight to the point
       5. Architectural overview
          1. Peer-to-peer clusters
          2. Smart clients and server clusters
          3. Dummy client proxying through a single node
       6. Summary
   16. 9. From the Outside Looking In
       1. What about the rest of us?
       2. Memcache
       3. Going RESTful
          1. Cluster status via REST
          2. REST resilience
       4. Summary
   17. 10. Going Global
       1. Getting set up in the cloud
          1. Under manual control
          2. Discovery – the Amazonian way
             1. Filtering the possibilities
       2. Spreading out around the globe
       3. Summary
   18. 11. Playing Well with Others
       1. Don't pass what you need, depend on it
          1. Simplifying collection access
       2. Transparently caching others' data
          1. Bring your own cluster
       3. Cacheable methods with the Spring cache
       4. Caching by standard
       5. Collection persistence
       6. Web session storage
       7. Cluster management
          1. JMX statistics
       8. Summary
   19. A. Configuration Summary
       1. Cluster name
       2. Management center
       3. General properties
       4. WAN replication configuration
       5. Local network/interface binding
       6. Cluster discovery (multicast-, unicast-, or EC2-based)
       7. Map configuration
          1. Maximum size and eviction
          2. Backup copies
          3. Age expiry and idle expiry times
          4. Map merge policy
          5. Selected WAN replication configuration
          6. Indexes on values
       8. Listeners notified on map events
       9. Listeners notified on topic broadcast
       10. Cluster-wide listener registration
   20. Index