Redis主从架构持久化存在一个问题,即前次测试的结论,持久化需要配置在主实例上才能跨越实例保证数据不丢失,这样以来主实例在持久化数据到硬盘的过程中,势必
Redis主从架构持久化存在一个问题,即前次测试的结论,持久化需要配置在主实例上才能跨越实例保证数据不丢失,这样以来主实例在持久化数据到硬盘的过程中,势必会造成磁盘的I/O等待,香港虚拟主机,经过实际测试,这个持久化写硬盘的过程给应用程序带来的影响无法忍受;因而在大多数场景下,会考虑把持久化配置在从实例上,当主实例宕机后,通过手动或者自动的方式将从实例提升为主实例,继续提供服务!当主实例恢复后,先从原从实例上同步数据,同步完成后再恢复到原始的主从状态!要实现这种的要求,需要有keepalive的配合,一方面keepalive提供了VIP,可以避免修改应用程序连接,同时redis实例的配置文件监听部分也需要修改为全网监听;另一方面keepalive定时调度脚本来监控主从实例的状态,香港服务器,根据具体情况进行切换!本文将重点介绍下使用keepalive实现redis主从自动failover!
环境介绍
操作系统版本均为:rhel5.4 64bit
redis版本:2.6.4
redis实例端口均为:6379
redis实例密码均为:123
VIP:192.168.1.120
主实例为server11(192.168.1.112)
从实例为server12(192.168.1.113,开启快照持久化)
一:安装keepalive软件,server11安装完成后直接scp至server12上即可
二:配置主节点server11配置文件
三:配置从节点server12配置文件
四:准备相关的脚本,主从实例上都需要存在这些脚本,同时注意脚本需要由可执行权限
五:主从实例分别启动keepalive进程,测试VIP是否正常(这里就要修改redis配置文件的监听地址为0.0.0.0)
六:主实例写入测试数据,该脚本原则上会写入25条测试数据,不过由于未优化redis默认并发数,会导致一些写入请求失败,最终功写入231839条测试数据,占内存总大小为25M左右,写入过程中可以观察主从实例的持久化文件变化情况,网站空间,主实例的持久化文件维持在30k,从实例的则不断的扩展!
七:模拟主实例故障,观察日志输出,验证从实例是否能成功接管VIP,同时将实例变成读写模式
八:继续使用脚本写入测试数据,通过重复运行脚本更新记录,这次成功写入了249925条测试数据
九:主实例角色的恢复过程,使用shell脚本自动恢复
十:验证数据完整性和主从角色恢复情况
参考文档:
本文出自 “斩月” 博客,谢绝转载!

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MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

MySQL is an open source relational database management system suitable for data storage, management, query and security. 1. It supports a variety of operating systems and is widely used in Web applications and other fields. 2. Through the client-server architecture and different storage engines, MySQL processes data efficiently. 3. Basic usage includes creating databases and tables, inserting, querying and updating data. 4. Advanced usage involves complex queries and stored procedures. 5. Common errors can be debugged through the EXPLAIN statement. 6. Performance optimization includes the rational use of indexes and optimized query statements.

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

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