How can Golang fetch a large amount of data?

In Golang, you can fetch large amounts of data using the following methods:

1. HTTP networking for Go
2. utilize the http.Get function
3. sending a POST request
4. The HTTP response object

resp, err := http.Get("http://example.com")
if err != nil {
    // 处理错误
}
defer resp.Body.Close()

body, err := ioutil.ReadAll(resp.Body)
if err != nil {
    // 处理错误
}

// 处理响应数据
fmt.Println(string(body))

1. The website for goquery by PuerkitoBio is github.com/PuerkitoBio/goquery.

doc, err := goquery.NewDocument("http://example.com")
if err != nil {
    // 处理错误
}

doc.Find("a").Each(func(index int, element *goquery.Selection) {
    href, _ := element.Attr("href")
    fmt.Println(href)
})

1. Leverage Go’s concurrency features, such as goroutines and channels, to concurrently fetch and process large amounts of data. You can use goroutines to simultaneously send multiple requests and use channels to pass data.

urls := []string{"http://example.com/page1", "http://example.com/page2", "http://example.com/page3"}

results := make(chan string)

for _, url := range urls {
    go func(u string) {
        resp, err := http.Get(u)
        if err != nil {
            // 处理错误
        }
        defer resp.Body.Close()
    
        body, err := ioutil.ReadAll(resp.Body)
        if err != nil {
            // 处理错误
        }
    
        // 发送数据到结果通道
        results <- string(body)
    }(url)
}

// 从结果通道中接收数据
for i := 0; i < len(urls); i++ {
    result := <-results
    fmt.Println(result)
}

These are several common methods for collecting large amounts of data. In practical application, you can choose the appropriate method based on your specific needs and data sources.