What scenarios is redis suitable for?
1. Caching
Caching is now a must-have for almost all medium and large websites. Reasonable use of caching can not only improve website access speed , and can also greatly reduce the pressure on the database. Redis provides key expiration function and flexible key elimination strategy. Therefore, Redis is now used in many caching situations. (Recommended: "Redis Video Tutorial")
2. Ranking
Many websites have ranking applications, such as JD.com’s monthly Sales list, product new arrival ranking by time, etc. The ordered set data structure provided by Redis can implement various complex ranking applications.
3. Counter
What is a counter, such as the number of views of products on e-commerce websites, the number of video plays on video websites, etc. In order to ensure the real-time performance of the data, 1 must be given for each browsing. When the concurrency is high, it will undoubtedly be a challenge and pressure to request database operations every time. The incr command provided by Redis implements counter functions and memory operations with very good performance and is very suitable for these counting scenarios.
4. Distributed session
In cluster mode, when there are not many applications, it is generally sufficient to use the session replication function that comes with the container. When the number of applications increases, In relatively complex systems, session services centered on in-memory databases such as Redis are generally built. Sessions are no longer managed by containers, but by session services and in-memory databases.
5. Distributed lock
Distributed technology is used in many Internet companies. The technical challenge brought by distributed technology is the concurrency of the same resource. Access, such as global ID, inventory reduction, flash sales and other scenarios. Scenarios with low concurrency can use pessimistic locks and optimistic locks of the database. However, in scenarios with high concurrency, it is necessary to use database locks to control concurrent access to resources. It is not ideal and greatly affects the performance of the database. You can use the setnx function of Redis to write distributed locks. If the setting returns 1, it means the lock acquisition is successful. Otherwise, the lock acquisition fails. There are more details to consider in actual applications.
6. Social Network
Likes, dislikes, following/being followed, mutual friends, etc. are the basic functions of social networking sites. Generally speaking, the number of visits to social networking sites It is relatively large, and the traditional relational database type is not suitable for storing this type of data. The hash, set and other data structures provided by Redis can easily realize these functions.
7. Latest list
Redis list structure, LPUSH can insert a content ID as a keyword at the head of the list, LTRIM can be used to limit the number of lists, so that the list There are always N IDs. There is no need to query the latest list, just go to the corresponding content page based on the ID.
8. Message system
Message queue is a must-have middleware for large websites, such as ActiveMQ, RabbitMQ, Kafka and other popular message queue middleware, which is mainly used for business solution Coupling, traffic peak shaving and asynchronous processing of services with low real-time performance. Redis provides publish/subscribe and blocking queue functions, which can implement a simple message queue system. In addition, this cannot be compared with professional message middleware.
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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.

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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