ubuntu system installation redis troubleshooting and solution
$ wget http://download.redis.io/releases/redis-6.0.6.tar.gz #wget命令下载redis安装文件,也可在官网下载压缩包 $ tar -xvf redis-6.0.6.tar.gz #将下载好的压缩包进行解压 $ mv redis-6.0.6 /usr/local/redis #把redis安装移动到/usr/local/里面,非必须 $ cd /usr/local/redis #进入该目录 $ make #执行make命令,等待redis安装
The following interface appears##
$ ln -s /usr/local/redis/src/redis-cli /usr/local/bin/ #配置环境,建立软连接$ redis-cli #看是否安装成功An error was found:Could not connect to Redis at 127.0.0.1: 6379: Connection refused
not connected> exit
I encountered a problem from the beginning when using Redis,The client cannot be opened,The reason is that the server needs to be opened first,This requires First configure
$ cp redis.conf /etc #负责文件到etc目录$ cd /etc #进入该目录$ vi redis.conf #修改文件中 daemonize no 为 daemonize yes (222行)可能不一样自己找一下
$ redis-server /etc/redis.conf #开启客户端要确保服务端启动and find that there is still an error message:Command 'redis-server' not found, but can be installed with:sudo apt install redis-server
Looking for related issues, I found that ,just make will not work,you also need to perform a make install command
$ cd /usr/local/redis/src $ make install $ redis-server /etc/redis.conf#发现启动成功
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Redis stands out because of its high speed, versatility and rich data structure. 1) Redis supports data structures such as strings, lists, collections, hashs and ordered collections. 2) It stores data through memory and supports RDB and AOF persistence. 3) Starting from Redis 6.0, multi-threaded I/O operations have been introduced, which has improved performance in high concurrency scenarios.

RedisisclassifiedasaNoSQLdatabasebecauseitusesakey-valuedatamodelinsteadofthetraditionalrelationaldatabasemodel.Itoffersspeedandflexibility,makingitidealforreal-timeapplicationsandcaching,butitmaynotbesuitableforscenariosrequiringstrictdataintegrityo

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.


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