E-commerce
In e-commerce scenarios, DCS Redis is widely used for product display, shopping recommendations, online account selection, and inventory and counting control in large-scale promotional flash sales.
l Popular product display: Flash sales usually attract large numbers of users to access and read product information at a high frequency. To reduce the database load and improve response speed, Redis can be used to cache popular product information. In this way, every time a user requests information on a flash sale product, the system will first obtain the information from Redis without having to query the database, significantly improving the performance and response speed of the e-commerce website.
l Inventory control: Flash sales have strict restrictions on the inventory. and pose high requirements on the quantity control of goods and the security of concurrent access. Redis supports atomic operations and distributed locks. Atomic decrement operations for Redis can be used to deduct product inventory, and Redis distributed locks can be used to protect the security of concurrent inventory operations. Best practice: Inventory Control for Flash Sales.
l Asynchronous order processing: When the flash sale event ends, there will be a large number of orders to be processed. To improve the concurrency capability and response speed of the system, you can use Redis as a message queue and store order information in a Redis list. Multiple consumer processes or threads can be used to obtain order messages from Redis, realizing asynchronous processing and decoupling of orders.
Games
As an important component, DCS Redis is used for player data caching and persistence.
l Player data caching: DCS Redis caches player data, including players' character information, items and equipment, skills and other data. Redis speeds up data reading and reduces the load on the database. This is especially important for games that require frequent reading of player data.
l Storage of leaderboard ranking data: An online game needs to count players' scores in real time and display the rankings for competition and comparison among players. You can use the ordered sets of DCS Redis to store user rankings and obtain ranking information conveniently through Redis rankings. Best practices Rankings.
l Status management and counters: Redis counter and key-value storage features can be used for status management and counting in games. For instance, you can use a Redis counter to record the number of kills and XP in the game and manage players' online status. At the same time, you can use the Redis key-value storage function to store and read various status information in the game.
Live Video
Redis stores user data, bullet comment data, and friend interactions for live video applications.
l Bullet comment function: Bullet comments are comments or messages sent by users in real time during live video streaming, which can be rapidly distributed and displayed by Redis. When a user sends a bullet comment, the message can be stored in a Redis list, and then it is obtained from Redis by subscribers and displayed on the video streaming page. You are advised to use SortedSet to store bullet comments.
l Online user list: Redis can be used to maintain a list of online users. When a user views a live video page, the user's information will be stored in a Redis set or ordered set, and removed from the list when the user leaves the page. In this way, you can quickly obtain the list of current online users for statistics, interactions and management. Best practices: Real-Time Counters.
l Gift system: Live video applications usually have a gift function for users to send virtual gifts to the streamer. Redis can be used as a counter and ranking for such gifts. The number of gifts can be recorded with the counter function of Redis, and ordered sets can be used to store the ranking and income of streamers.
l Popular live video list: To provide and recommend users with popular live videos, Redis ordered sets can be used to measure the popularity and store the number of viewers of the live video. By recording the views of and interactions during a live video, the ranking of videos can be updated in real time, and a list of popular live videos is provided based on the ranking for users to view and choose from.