This article will show you how to install Redis on Centos 7. It has certain reference value. Friends in need can refer to it. I hope it will be helpful to everyone.
Without further ado, let’s get started.
1. Install gcc dependencies
redis is developed in C language. Before installation, you must first confirm whether the gcc environment is installed (gcc -v
) , if it is not installed, execute the following command to install it.
$ yum install -y gcc
2. Download and decompress the installation package
$ wget http://download.redis.io/releases/redis-5.0.7.tar.gz $ tar -zxvf redis-5.0.7.tar.gz
3. cd to the redis decompression directory and execute compilation
$ cd redis-5.0.7 && make
4. Install and specify the installation directory
$ make install PREFIX=/usr/local/redis
[Related recommendations: Redis video tutorial]
5. Start the service
5.1 Foreground startup
$ cd /usr/local/redis/bin/ $ ./redis-server
5.2 Background startup
Copy redis.conf from the redis source code directory to The installation directory of redis
$ cp /usr/local/redis-5.0.7/redis.conf /usr/local/redis/bin/
Modify the redis.conf file and change daemonize no to daemonize yes
$ vim redis.conf ################################# GENERAL ##################################### # By default Redis does not run as a daemon. Use 'yes' if you need it. # Note that Redis will write a pid file in /var/run/redis.pid when daemonized. daemonize yes
Background startup
$ ./redis-server redis.conf
6. Set up boot startup
Add startup service
$ vim /etc/systemd/system/redis.service
Add the following content
[Unit] Description=redis-server After=network.target [Service] Type=forking ExecStart=/usr/local/redis/bin/redis-server /usr/local/redis/bin/redis.conf PrivateTmp=true [Install] WantedBy=multi-user.target
Note: ExecStart
Configure to your own path
Set startup
$ systemctl daemon-reload $ systemctl start redis.service $ systemctl enable redis.service
Create redis command soft link
$ ln -s /usr/local/redis/bin/redis-cli /usr/bin/redis # 测试 $ redis 127.0.0.1:6379> ping PONG 127.0.0.1:6379>
Finally, post some common commands~
# 启动redis服务 systemctl start redis.service # 停止redis服务 systemctl stop redis.service # 重新启动服务 systemctl restart redis.service # 查看服务当前状态 systemctl status redis.service # 设置开机自启动 systemctl enable redis.service # 停止开机自启动 systemctl disable redis.service
OK~It’s done~
For more programming-related knowledge, please visit: Programming Video! !
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Redis improves application performance and scalability by caching data, implementing distributed locking and data persistence. 1) Cache data: Use Redis to cache frequently accessed data to improve data access speed. 2) Distributed lock: Use Redis to implement distributed locks to ensure the security of operation in a distributed environment. 3) Data persistence: Ensure data security through RDB and AOF mechanisms to prevent data loss.

Redis's data model and structure include five main types: 1. String: used to store text or binary data, and supports atomic operations. 2. List: Ordered elements collection, suitable for queues and stacks. 3. Set: Unordered unique elements set, supporting set operation. 4. Ordered Set (SortedSet): A unique set of elements with scores, suitable for rankings. 5. Hash table (Hash): a collection of key-value pairs, suitable for storing objects.

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.


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