Redis application example sharing: News push system design

As a high-performance memory data storage system, Redis has been widely used in the Internet field, especially in caching and message queues. In the design of the news push system, Redis also plays an important role. This article will combine specific cases to share the application examples of Redis in news push systems.

1. Requirements Analysis

When designing a news push system, the primary requirement is to push the latest news content to users quickly, accurately, and reliably. Specifically, the following problems need to be solved:

1. How to select content that users are interested in from a massive amount of news?

2. How to ensure that the news pushed is the latest?

3. How to ensure that the news pushed is accurate and reliable?

2. System Design

Based on the above requirements, we designed the following news push system:

1. Collection and classification

First, we need to carry out Collection and classification of news. In this step, crawlers can be used to crawl data from major news websites, and machine learning algorithms can be used to classify and label the news. In this way, content of interest to users can be selected from massive news data.

2. Push service

In the push service, Redis needs to be used to implement a two-way queue to store news that will be pushed to users. The advantage of a two-way queue is that when pushing news, it can ensure that the latest news is pushed first. However, if some news fails to be pushed, the news can be pushed to the end of the queue again to ensure that all users can receive the latest news. .

3. Push strategy

In the push strategy, we need to take into account factors such as user behavioral characteristics and the timeliness of news. For example, when a user visits a news page, the ID of the news will be stored in Redis. Then when pushing news, the news that these users have already seen can be excluded. In addition, you can also set the timeliness of a news, such as only pushing news within the last 2 hours to avoid pushing outdated content.

4. Push feedback

In push feedback, Redis needs to be used to implement a message queue to store user feedback information. For example, if a user likes a news item, that information is stored in the message queue. The push service can constantly check whether there is new feedback information in the message queue and adjust the push strategy based on the feedback information.

3. Technical details

When implementing the news push system, some technical details need to be considered to ensure the high availability and high performance of the system:

1.Redis Sharding: Since the data stored in Redis may be very large, memory limitations will occur if sharding is not performed. Therefore, the data needs to be sharded and stored on different Redis nodes to ensure data security.

2.Redis persistence: In order to prevent data loss caused by Redis node failure, you need to use the RDB and AOF persistence mechanisms provided by Redis. RDB can regularly save data in memory to disk, while AOF can record write operations so that the data can be restored after Redis restarts.

3.Redis cluster: If you only use a single Redis node, then when the access volume is very large, a bottleneck problem will occur. Therefore, Redis cluster needs to be used to improve the throughput and scalability of the system.

4. Summary

Through the sharing of Redis application examples, we can see that Redis, as a high-performance memory data storage system, plays an important role in the design of the news push system. We can use some features of Redis, such as bidirectional queues and message queues, to achieve fast, efficient, and reliable news push services, and improve the performance and availability of the system through the optimization of some technical details.

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