- 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
- Java語言程序設(shè)計(jì)
- Python數(shù)據(jù)可視化：基于Bokeh的可視化繪圖
- Visual FoxPro程序設(shè)計(jì)教程
- 算法精粹：經(jīng)典計(jì)算機(jī)科學(xué)問題的Python實(shí)現(xiàn)
- 微信公眾平臺開發(fā)：從零基礎(chǔ)到ThinkPHP5高性能框架實(shí)踐
- WordPress 4.0 Site Blueprints（Second Edition）
- 零基礎(chǔ)Java學(xué)習(xí)筆記
- Scala Reactive Programming
- BeagleBone Robotic Projects（Second Edition）
- Oracle數(shù)據(jù)庫編程經(jīng)典300例
- 代碼閱讀
- 深入理解BootLoader
- Continuous Delivery and DevOps：A Quickstart Guide Second Edition
- Flink核心技術(shù)：源碼剖析與特性開發(fā)
- MongoDB Cookbook