How to kill instantly in golang

As an efficient programming language, Golang performs well when developing large-scale and highly concurrent applications. Its high concurrency and high performance also make Golang the preferred language for implementing flash sales. In the next article, we will introduce how to use Golang to implement flash sales.

1. Optimize database design

In flash sale scenarios, there are often a large number of read operations and a small number of write operations. In order to improve reading and writing efficiency, we can optimize the database. The specific method can be to use the cache function to cache the data in memory in advance, thereby reducing the frequency of database operations. In addition, you can also use the method of sub-database and sub-table to disperse the data into different databases to further improve the reading and writing efficiency.

2. Using redis

Redis is a high-performance non-relational database. Its read and write efficiency is very high, so it is also widely used in flash sale scenarios. We can use the queue function of Redis to implement rush buying operations, add user requests to the queue, and then process them in the order of the queue.

3. Using distributed cache

In the flash sale scenario, the access pressure during the peak period of reading and writing is very high, which can easily cause the server to crash. To deal with this situation, we can use distributed caching for optimization. Specifically, it can be implemented using Memcached or Redis Cluster to disperse the cache to different servers, thereby reducing the burden on the server.

4. Current limiting

In order to protect the stability of the server, we need to limit access. The specific method can be implemented using the token bucket or leaky bucket algorithm. While limiting current flow, we can also adopt measures such as IP restrictions, login restrictions, and order frequency restrictions to avoid attacks and malicious order manipulation.

5. Use reverse proxy

Reverse proxy can distribute requests to multiple servers, thereby balancing the access pressure of the server. Specifically, you can use tools such as Nginx and Apache.

Generally speaking, in order to achieve flash sales, we need to use a variety of technical means to optimize so as to achieve high concurrency and high efficiency. At the same time, it should be noted that in the process of realizing flash sales, the consistency and reliability of data must be ensured, otherwise it may cause problems such as process confusion and data errors.

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