Redis application example sharing: online video system design

In today’s digital era, video has become one of the important media for people to consume content. The rise of online video platforms has also promoted the development of network bandwidth and operator technology. In order to cope with the access of massive users, improve the efficiency of video playback, and ensure user experience, it is necessary to use various technical means to optimize and improve. This article will combine Redis caching technology to share the design of an online video system to meet user needs and improve system performance.

1. Business requirements analysis

First of all, we need to clearly analyze the business requirements of the online video platform. The main behaviors of users on this platform are browsing, searching, watching and commenting. Therefore, we should consider the following aspects in technical implementation:

• Browse and search: it is necessary to provide a fast and accurate search function;
• Watching: it is necessary to provide smooth video Playback experience;
• Comments: It is necessary to reliably store and respond to user comments.

Based on these requirements, we need to start thinking about how to use Redis caching technology to support various businesses of this system.

2. Redis implementation plan

In response to the business needs mentioned above, we can use Redis in the following ways:

2.1 Browse and search: use Redis cache search results

Users often perform multiple consecutive search behaviors quickly when searching, and each search result requires a full scan of the database, which will frequently query the database. This consumes database resources. Therefore, we can use Redis to cache search results to reduce database pressure and speed up search.

Implementation plan:

• When the user enters a keyword to search, we can first try to find the keyword search result in the Redis cache;
• If Redis If the search result for this keyword exists in Redis, it will be returned directly to the user;
• If the search result for this keyword does not exist in Redis, the search result will be cached in Redis from the database.

2.2 Watch: Use Redis to cache popular videos

Users pay great attention to the smooth playback experience when watching videos, and the loading speed of the video is one of the important factors that affect the experience. So how to solve the problem of slow video loading speed? We can consider dividing the video into chunks and putting popular videos into the Redis cache to improve the video loading speed.

Implementation plan:

• When the video is uploaded, divide it into chunks and put it into the Redis cache;
• For more popular videos, pre-register them regularly Loading to improve user loading speed;
• For the continuously accumulated video block data, it is processed asynchronously in the RabbitMQ queue or cleaned through the Redis active cleaning strategy.

2.3 Comments: Use Redis to cache comments

Comments are one of the most direct ways for users to participate in discussions and interactions on the video platform. After users watch the video, the comment function often also Essential function points. In order to improve the high concurrent response capability of comments, Redis can be used to cache comments, which not only updates the database in real time but also reduces the pressure on the database.

Implementation plan:

• When the user performs a comment operation, the comment is first placed in the Redis cache;
• Use transactions with operations with high real-time performance Protection;
• Each comment corresponds to a TTL (time to live), and will be deleted from the Redis cache after the TTL is exceeded.

3. Summary

This article combines the business needs of the online video platform and provides an implementation plan for using Redis caching technology to improve business performance and scalability. This not only improves the throughput capacity of the platform, but also effectively reduces the database query load, thus improving the reliability and maintainability of the entire system. At the same time, we also need to continuously optimize and adjust the Redis caching strategy based on business needs and data patterns to ensure a better user experience on the online video platform.

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