Java Web applications use stream limiting to handle a large number of concurrent requests

In web applications, a large number of client requests are sent to the server at the same time, such as rush purchase, second kill and so on. At this time, how to avoid sending a large number of requests to the business system at the same time.

The first method: configure the maximum number of requests in the container. If it is greater than the number of change requests, the client will block. This method effectively prevents a large number of requests from accessing the business system at the same time, but it is not friendly to users.

The second method: use the filter to ensure that a certain number of requests can normally access the system. The redundant requests jump to the queuing page first, and the queuing page will initiate the request regularly. The filter is implemented as follows:

The realization of this method is current limiting. You can refer to the implementation of token bucket current limiting policy of ratelimiter.

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