How to handle receiving a large amount of data on a websocket?

There are several ways to handle the reception of a large amount of data through websockets.

1. Utilize stream processing to break down incoming data into smaller chunks for handling, in order to avoid performance issues caused by processing large amounts of data all at once. This can be implemented using stream processing libraries or custom algorithms, ensuring stability and performance when dealing with large amounts of data.
2. Utilize asynchronous processing by placing incoming data into a queue and using multiple threads or processes to handle the data in parallel. This can improve processing speed and allow for dynamic adjustment of the number of threads based on system load.
3. By using a caching mechanism, received data can be stored in a memory cache and then processed in batches according to a certain strategy. This helps reduce the pressure on backend systems and improves processing speed.
4. Utilize distributed processing: If the system’s processing capacity is unable to meet the demands of handling large amounts of data, consider using distributed processing. Distribute the data received to multiple processing nodes for parallel processing, then combine the processing results and return them to the client. It is essential to choose the appropriate method based on specific scenarios and requirements, as well as conduct performance testing and optimization to ensure the system’s stability and performance.