练习 1.10: 找一个数据量比较大的网站,用本小节中的程序调研网站的缓存策略,对每个URL执行两遍请求,查看两次时间是否有较大的差别,并且每次获取到的响应内容是否一致,修改本节中的程序,将响应结果输出,以便于进行对比。

练习 1.11: 在fatchall中尝试使用长一些的参数列表,比如使用在alexa.com的上百万网站里排名靠前的。如果一个网站没有回应,程序将采取怎样的行为?(Section8.9 描述了在这种情况下的应对机制)。

package main

import (
"fmt"
"io/ioutil"
"net/http"
"os"
"time"
"strings"
"io"
"sort"
)
func fetchUrl(url string, ch chan <- map[string]string) { //使用map记录,url -> response
start := time.Now()
resp,err := http.Get(url)
result := make(map[string]string)
if err != nil {
result[url] = fmt.Sprintf("http-get: %v",err)
ch <- result
return
}
nbytes,err := io.Copy(ioutil.Discard,resp.Body)
if err != nil {
result[url] = fmt.Sprintf("while reading:%v %v",url,err)
ch <- result
return
} resp.Body.Close()
secs := time.Since(start).Seconds()
//fmt.Printf("%v %v %v Bytes %v's\n",url,resp.Status,nbytes,secs)
result[url] = fmt.Sprintf("%v %v %v Bytes %v's",url,resp.Status,nbytes,secs)
ch <- result } func main() {
start := time.Now()
ch := make(chan map[string]string)
count := 0
for _,url := range os.Args[1:] {
if ! strings.HasPrefix(url,"htto") {
url = "http://" + url
}
fmt.Printf("start fetch %v\n",url)
go fetchUrl(url,ch) // 重复3次
go fetchUrl(url,ch)
go fetchUrl(url,ch)
count += 3
}
result := make(map[string]string)
keys := []string{}
for i:=0;i<count;i++{
for k,v := range <-ch {
result[k] = v
keys = append(keys,k)
}
}
sort.Strings(keys) //按照url排序
for _,k := range keys {
fmt.Printf("%s : %s\n",k,result[k]) //输出按照URL排序后的结果
}
fmt.Printf("done, use %v seconds",time.Since(start).Seconds())
}

 

运行测试

go run main.go baidu.com sina.cn 163.com google.cn qq.com weibo.cn
start fetch http://baidu.com
start fetch http://sina.cn
start fetch http://163.com
start fetch http://google.cn
start fetch http://qq.com
start fetch http://weibo.cn
http://163.com : http://163.com 200 OK 648796 Bytes 0.8530488's
http://163.com : http://163.com 200 OK 648796 Bytes 0.8530488's
http://163.com : http://163.com 200 OK 648796 Bytes 0.8530488's
http://baidu.com : http://baidu.com 200 OK 81 Bytes 0.0630036's
http://baidu.com : http://baidu.com 200 OK 81 Bytes 0.0630036's
http://baidu.com : http://baidu.com 200 OK 81 Bytes 0.0630036's
http://google.cn : http://google.cn 200 OK 3213 Bytes 0.3580205's
http://google.cn : http://google.cn 200 OK 3213 Bytes 0.3580205's
http://google.cn : http://google.cn 200 OK 3213 Bytes 0.3580205's
http://qq.com : http://qq.com 200 OK 248761 Bytes 0.3360192's
http://qq.com : http://qq.com 200 OK 248761 Bytes 0.3360192's
http://qq.com : http://qq.com 200 OK 248761 Bytes 0.3360192's
http://sina.cn : http://sina.cn 200 OK 14147 Bytes 0.1520087's
http://sina.cn : http://sina.cn 200 OK 14147 Bytes 0.1520087's
http://sina.cn : http://sina.cn 200 OK 14147 Bytes 0.1520087's
http://weibo.cn : http://weibo.cn 200 OK 5293 Bytes 0.3700212's
http://weibo.cn : http://weibo.cn 200 OK 5293 Bytes 0.3700212's
http://weibo.cn : http://weibo.cn 200 OK 5293 Bytes 0.3700212's
done, use 0.8830505 seconds

  

05-26 08:39