1. Use the commands cp redis.conf /redis63791.conf, cp redis.conf /redis63792.conf, cp redis.conf /redis63793.conf in /etc/redis/ to The root directory is ready
vim redis63792.conf --->修改配置文件 daemonize yes 守护进程 port 63792 端口 bind 192.168.0.3 绑定内网地址 databases 16 开启16个数据库 save ---> 每多少个文件执行一次保存 (主人不需要以下操作) slaveof 116.196.107.20 63791 --> 作为该ip该端口的奴隶 masterauth '123456789' --> 认证主人的密码 ---------------------- appendonly yes 开启这个增强数据的安全性 (以上为正常的redis.conf里面的配置文件,所有的slave都要去连接主人的服务器,只能读,不能写,自动同步数据,读写分离可以大大的增强服务器的性能能,因为在正常的数据操作中, 读的时候往往比写的时候的情况要多的多, 一般情况下主从机按1:3进行分配)
2. Sentinel configuration, find the sentinel.conf file in /etc/redis (if you don’t have such a configuration file), copy cp sentinel.conf /mysentinel .conf
vim mysentinel.conf sentinel monitor mymaster 116.196.107.20 63791 1 -->分别的意思是 哨兵监听主人:116.196.107.20的 端口:63791 哨兵数量1个, 一般情况下哨兵的数量越多, 投票选举通过的几率越小, 在投票选举出新主人花费的时间就越多, 不利于快速切换主从机制 sentinel down-after-milliseconds mymaster 5000 主机掉线以后5s进行认证,如果无法连接则重新由哨兵从slave中选出新的主人 sentinel auth-pass mymaster 123456789 哨兵通过密码连接主人
3. After the configuration is completed, you can turn on the master-slave mechanism, separate reading and writing, and provide a sentinel mechanism. After the master is down for 5 seconds, a new master will be randomly selected from the slave. Previously After the master is connected, he can only work as a slave! !
redis操作命令: redis-server redis63791.conf & -->以该配置文件在后台运行服务器 redis-cli -h 116.196.107.20 -p 63791 远程连接服务器 auth 123456789 --->在redis中验证密码 redis-server mysentinel.conf --sentinel 启动哨兵模式开始监听, 如下:
For more redis knowledge, please pay attention to the redis introductory tutorial column.
The above is the detailed content of Redis read-write separation and sentinel mechanism configuration. For more information, please follow other related articles on the PHP Chinese website!

Redis's database methods include in-memory databases and key-value storage. 1) Redis stores data in memory, and reads and writes fast. 2) It uses key-value pairs to store data, supports complex data structures such as lists, collections, hash tables and ordered collections, suitable for caches and NoSQL databases.

Redis is a powerful database solution because it provides fast performance, rich data structures, high availability and scalability, persistence capabilities, and a wide range of ecosystem support. 1) Extremely fast performance: Redis's data is stored in memory and has extremely fast read and write speeds, suitable for high concurrency and low latency applications. 2) Rich data structure: supports multiple data types, such as lists, collections, etc., which are suitable for a variety of scenarios. 3) High availability and scalability: supports master-slave replication and cluster mode to achieve high availability and horizontal scalability. 4) Persistence and data security: Data persistence is achieved through RDB and AOF to ensure data integrity and reliability. 5) Wide ecosystem and community support: with a huge ecosystem and active community,

Key features of Redis include speed, flexibility and rich data structure support. 1) Speed: Redis is an in-memory database, and read and write operations are almost instantaneous, suitable for cache and session management. 2) Flexibility: Supports multiple data structures, such as strings, lists, collections, etc., which are suitable for complex data processing. 3) Data structure support: provides strings, lists, collections, hash tables, etc., which are suitable for different business needs.

The core function of Redis is a high-performance in-memory data storage and processing system. 1) High-speed data access: Redis stores data in memory and provides microsecond-level read and write speed. 2) Rich data structure: supports strings, lists, collections, etc., and adapts to a variety of application scenarios. 3) Persistence: Persist data to disk through RDB and AOF. 4) Publish subscription: Can be used in message queues or real-time communication systems.

Redis supports a variety of data structures, including: 1. String, suitable for storing single-value data; 2. List, suitable for queues and stacks; 3. Set, used for storing non-duplicate data; 4. Ordered Set, suitable for ranking lists and priority queues; 5. Hash table, suitable for storing object or structured data.

Redis counter is a mechanism that uses Redis key-value pair storage to implement counting operations, including the following steps: creating counter keys, increasing counts, decreasing counts, resetting counts, and obtaining counts. The advantages of Redis counters include fast speed, high concurrency, durability and simplicity and ease of use. It can be used in scenarios such as user access counting, real-time metric tracking, game scores and rankings, and order processing counting.

Use the Redis command line tool (redis-cli) to manage and operate Redis through the following steps: Connect to the server, specify the address and port. Send commands to the server using the command name and parameters. Use the HELP command to view help information for a specific command. Use the QUIT command to exit the command line tool.

Redis cluster mode deploys Redis instances to multiple servers through sharding, improving scalability and availability. The construction steps are as follows: Create odd Redis instances with different ports; Create 3 sentinel instances, monitor Redis instances and failover; configure sentinel configuration files, add monitoring Redis instance information and failover settings; configure Redis instance configuration files, enable cluster mode and specify the cluster information file path; create nodes.conf file, containing information of each Redis instance; start the cluster, execute the create command to create a cluster and specify the number of replicas; log in to the cluster to execute the CLUSTER INFO command to verify the cluster status; make


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