The difference analysis is as follows:
(Learning video sharing: redis database tutorial)
1. Mysql and redis databases Type
mysql is a relational database, mainly used to store persistent data. The data is stored on the hard disk and the reading speed is slow.
redis is NOSQL, which is a non-relational database and a cache database. It stores data in the cache. The cache has fast reading speed and can greatly improve operating efficiency, but the storage time is limited
2. The operating mechanism of mysql
As a relational database with persistent storage, the relative weakness of mysql is that every time a request is made to access the database, there are I/O operations. If the database is accessed repeatedly and frequently. First: it will take a lot of time to repeatedly connect to the database, resulting in too slow operating efficiency; second: repeated access to the database will also cause the database load to be too high, so the concept of caching is derived at this time.
3. Cache
The cache is the buffer (cache) for data exchange. When the browser performs a request, it will first search in the cache. If it exists, it will be obtained; otherwise, it will be retrieved. Access the database.
The benefit of caching is fast reading speed
4. redis database
The redis database is a cache database used to store frequently used data, thus reducing access to the database times to improve operating efficiency.
5. Summary of the differences between redis and mysql
(1) In terms of type
In terms of type, mysql is a relational database and redis is a cache database
(2) Function
mysql is used to store data persistently on the hard disk. It is powerful but slow.
redis is used to store frequently used data in the cache. Fast reading speed
(3) Requirements
Mysql and redis are generally used together due to different requirements.
Supplement:
Redis and mysql should be selected according to specific business scenarios
mysql: data is placed on disk redis: data is placed in memory
redis is suitable for some Frequently used and relatively hot data, because it is stored in the memory, the read and write speed is very fast. It is generally used in the following scenarios
Rankings, counters, message queue push, friend attention, fans
First of all, you must know that mysql is stored in the disk, and redis is stored in the memory. Redis can be used for both persistent storage and caching. At present, most companies' storage is mysql redis, with mysql as the main storage. Redis is used as auxiliary storage for cache, speeding up access and reading, and improving performance
So why not just use redis for storage?
My opinion is: because redis is stored in memory, if it is stored in memory, the storage capacity must be much less than that of a disk. If you want to store a large amount of data, you can only spend more money to buy memory, resulting in some problems. It is relatively wasteful where high performance is not required, so currently it is basically mysql (primary) and redis (auxiliary). Redis is used where performance is required, and mysql is used where high performance is not required. Good steel is used on the blade.
1. Mysql supports sql query, which can realize some related queries and statistics;
2. Redis has relatively high memory requirements. Under limited conditions, all data cannot be placed in redis. ;
3. Mysql prefers to store data, and redis prefers to retrieve data quickly, but redis is not as good as mysql when querying complex table relationships, so you can put popular data in redis, and mysql stores basic data
Related recommendations: redis database tutorial
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The main difference between Redis and SQL databases is that Redis is an in-memory database, suitable for high performance and flexibility requirements; SQL database is a relational database, suitable for complex queries and data consistency requirements. Specifically, 1) Redis provides high-speed data access and caching services, supports multiple data types, suitable for caching and real-time data processing; 2) SQL database manages data through a table structure, supports complex queries and transaction processing, and is suitable for scenarios such as e-commerce and financial systems that require data consistency.

Redisactsasbothadatastoreandaservice.1)Asadatastore,itusesin-memorystorageforfastoperations,supportingvariousdatastructureslikekey-valuepairsandsortedsets.2)Asaservice,itprovidesfunctionalitieslikepub/submessagingandLuascriptingforcomplexoperationsan

Compared with other databases, Redis has the following unique advantages: 1) extremely fast speed, and read and write operations are usually at the microsecond level; 2) supports rich data structures and operations; 3) flexible usage scenarios such as caches, counters and publish subscriptions. When choosing Redis or other databases, it depends on the specific needs and scenarios. Redis performs well in high-performance and low-latency applications.

Redis plays a key role in data storage and management, and has become the core of modern applications through its multiple data structures and persistence mechanisms. 1) Redis supports data structures such as strings, lists, collections, ordered collections and hash tables, and is suitable for cache and complex business logic. 2) Through two persistence methods, RDB and AOF, Redis ensures reliable storage and rapid recovery of data.

Redis is a NoSQL database suitable for efficient storage and access of large-scale data. 1.Redis is an open source memory data structure storage system that supports multiple data structures. 2. It provides extremely fast read and write speeds, suitable for caching, session management, etc. 3.Redis supports persistence and ensures data security through RDB and AOF. 4. Usage examples include basic key-value pair operations and advanced collection deduplication functions. 5. Common errors include connection problems, data type mismatch and memory overflow, so you need to pay attention to debugging. 6. Performance optimization suggestions include selecting the appropriate data structure and setting up memory elimination strategies.

The applications of Redis in the real world include: 1. As a cache system, accelerate database query, 2. To store the session data of web applications, 3. To implement real-time rankings, 4. To simplify message delivery as a message queue. Redis's versatility and high performance make it shine in these scenarios.

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


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