


How to configure redis installation and master-slave replication in CentoS environment
Dependent environment
centos 6.5
gcc-4.4.7: Compile redis original file
tcl-8.5.7: Run compilation detection
1. Compile redis
#cd /usr/local #tar -zxvf redis-4.0.1.tar.gz #mv redis-4.0.1 redis #cd redis #make
Running the compilation test make test requires tcl-8.5 and above
#yum install -y tcl #make test
2. Start redis
#cd src #./redis-server
3. Access redis
#cd ./redis-cli
It is recommended to install the latest version. When accessing on the Linux side, there are code format prompts for easy practice
>set name "redis" >get name
4 .Master-slave replication
Deploy two redis services on one machine
#cd /usr/local
4.1. Create redis (master) with service port 6379
#mv redis redis-6379 #mkdir redis-6380
4.2. The service port is redis (slave) 6380
#cp -r redis-6379 redis-6380 #cd redis-6380
4.3. Change the port and set the ip and port of the main redis
#vi redis.conf port=6380 slaveof 127.0.0.1 6379
4.4. Start the master redis first and then start the slave redis
# cd /usr/local/redis-6379/src #./redis-server ../redis.conf #cd /usr/local/redis-6380/src #./redis-server ../redis.conf
4.5. Test the master-slave redis
#./redis-cli -p 6379 >set name "redis" >get name redis >quit #./redis-cli -p 6380 >get name redis
tip : If you test redis master-slave replication between different servers, you need to note that the IP bound to redis needs to be changed to an open-access IP (127.0.0.1—>192.168.2.134), and the port also needs to be open in the firewall
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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.

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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.

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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.


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