- Getting Started with Hazelcast
- Mat Johns
- 88字
- 2021-08-06 16:56:52
Chapter 3. Going Concurrent
Along with the simple distributed collections offered, Hazelcast also provides us with additional complementary capabilities, allowing us to further parallelize our applications. Some of these features come as standard within more traditional data stores, while others are inspired by similar technologies. In this chapter we will look at:
- Atomic and consistent nature of simple collections
- Distributed locking to provide a cluster wide mutex
- Transactional support to cater for more complex operations
- Cluster-wide atomic ID generator
- JMS-like topics for broadcast messaging (publish, subscribe)
推薦閱讀
- JavaScript從入門到精通（微視頻精編版）
- Visual Basic編程：從基礎到實踐（第2版）
- 深入淺出Java虛擬機：JVM原理與實戰
- Animate CC二維動畫設計與制作（微課版）
- Effective Python Penetration Testing
- Flux Architecture
- 微信小程序項目開發實戰
- Jenkins Continuous Integration Cookbook（Second Edition）
- Python極簡講義：一本書入門數據分析與機器學習
- Unity 2018 Shaders and Effects Cookbook
- Statistical Application Development with R and Python（Second Edition）
- 多媒體技術及應用
- Spark技術內幕：深入解析Spark內核架構設計與實現原理
- Mastering Machine Learning with R
- Beginning C# 7 Hands-On：The Core Language