How to solve the problem of request merging and batch processing of concurrent network requests in Go language?

How to solve the problem of request merging and batch processing of concurrent network requests in Go language?

In modern Internet applications, network requests have become an indispensable part, and in the case of high concurrency, how to effectively manage and process a large number of network requests has become an urgent problem to be solved. In order to improve the efficiency of requests and reduce network overhead, we often need to merge and batch requests.

As a lightweight concurrent programming language, Go language provides some powerful tools and technologies to solve this problem. Below we will use a specific example to show how to solve the problem of request merging and batch processing of concurrent network requests in the Go language.

Suppose we have a requirement to obtain the price information of a set of commodities from different websites and return this information to the client in batches. In this case, we can use concurrency to initiate requests to these websites at the same time, and wait for all requests to be completed before returning the results.

First, we need to define a structure to represent the price information of a commodity:

type PriceInfo struct {
    ID    int
    Price float64
}

Next, we need to define a function to obtain the price information of a commodity. This function will A specified website sends a request and returns a PriceInfo structure:

func fetchPriceInfo(url string) PriceInfo {
    // 发送网络请求并解析返回的数据
    // ...
    // 返回商品的价格信息
    return PriceInfo{
        ID:    123,
        Price: 9.99,
    }
}

Assume that the ID list of the products we need to obtain is stored in a slice:

ids := []int{1, 2, 3, 4, 5}

Next, we can use The concurrency feature in the Go language can initiate requests to these websites at the same time and wait for all requests to be completed:

// 创建一个用于接收结果的通道
resultCh := make(chan PriceInfo, len(ids))

// 使用并发的方式获取商品价格信息
for _, id := range ids {
    go func(id int) {
        // 发起请求并将结果发送到通道中
        resultCh <- fetchPriceInfo(fmt.Sprintf("http://example.com/product/%d", id))
    }(id)
}

// 等待所有请求完成
for range ids {
    // 从通道中接收结果
    result := <-resultCh
    // 对结果进行处理
    // ...
}

// 关闭通道
close(resultCh)

In the above code, we first create a channel resultCh for receiving results, and the buffer size of the channel is set to wait The number of product IDs requested so that we can save all results in the channel and avoid blocking. We then use concurrency to process all requests in parallel and send the results to the channel. Finally, we use a loop to receive all the results from the channel and process them.

Through the above methods, we can solve the problem of request merging and batch processing of concurrent network requests in the Go language. By properly utilizing concurrency features and channels, we can efficiently obtain the results of multiple network requests and process them in batches accordingly.

Of course, in actual applications, we may need to consider some additional issues, such as network timeout, error handling, etc., but these are beyond the scope of this article.

To sum up, the Go language provides some powerful tools and technologies to solve the problem of request merging and batch processing of concurrent network requests. By rationally utilizing concurrency features and channels, we can efficiently obtain multiple networks The results of the request are processed in batches. Through these technologies, we can better cope with network requests under high concurrency situations and improve application performance and efficiency.

I hope this article will help you understand how to solve the problem of request merging and batch processing of concurrent network requests in the Go language. If you have other questions about this topic or other questions about the Go language, please feel free to continue asking.

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