2022-08-04 06:59:33 +00:00
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2023-06-26 17:30:52 +00:00
< ol class = "chapter" > < li class = "chapter-item expanded affix " > < a href = "../index.html" > Go语言圣经< / a > < / li > < li class = "chapter-item expanded affix " > < a href = "../preface-zh.html" > 译者序< / a > < / li > < li class = "chapter-item expanded affix " > < a href = "../preface.html" > 前言< / a > < / li > < li class = "chapter-item expanded " > < a href = "../ch1/ch1.html" > < strong aria-hidden = "true" > 1.< / strong > 入门< / a > < / li > < li > < ol class = "section" > < li class = "chapter-item expanded " > < a href = "../ch1/ch1-01.html" > < strong aria-hidden = "true" > 1.1.< / strong > Hello, World< / a > < / li > < li class = "chapter-item expanded " > < a href = "../ch1/ch1-02.html" > < strong aria-hidden = "true" > 1.2.< / strong > 命令行参数< / a > < / li > < li class = "chapter-item expanded " > < a href = "../ch1/ch1-03.html" > < strong aria-hidden = "true" > 1.3.< / strong > 查找重复的行< / a > < / li > < li class = "chapter-item expanded " > < a href = "../ch1/ch1-04.html" > < strong aria-hidden = "true" > 1.4.< / strong > GIF动画< / a > < / li > < li class = "chapter-item expanded " > < a href = "../ch1/ch1-05.html" > < strong aria-hidden = "true" > 1.5.< / strong > 获取URL< / a > < / li > < li class = "chapter-item expanded " > < a href = "../ch1/ch1-06.html" > < strong aria-hidden = "true" > 1.6.< / strong > 并发获取多个URL< / a > < / li > < li class = "chapter-item expanded " > < a href = "../ch1/ch1-07.html" > < strong aria-hidden = "true" > 1.7.< / strong > Web服务< / a > < / li > < li class = "chapter-item expanded " > < a href = "../ch1/ch1-08.html" > < strong aria-hidden = "true" > 1.8.< / strong > 本章要点< / a > < / li > < / ol > < / li > < li class = "chapter-item expanded " > < a href = "../ch2/ch2.html" > < strong aria-hidden = "true" > 2.< / strong > 程序结构< / a > < / li > < li > < ol class = "section" > < li class = "chapter-item expanded " > < a href = "../ch2/ch2-01.html" > < strong aria-hidden = "true" > 2.1.< / strong > 命名< / a > < / li > < li class = "chapter-item expanded " > < a href = "../ch2/ch2-02.html" > < strong aria-hidden = "true" > 2.2.< / strong > 声明< / a > < / li > < li class = "chapter-item expanded " > < a href = "../ch2/ch2-03.html" > < strong aria-hidden = "true" > 2.3.< / strong > 变量< / a > < / li > < li class = "chapter-item expanded " > < a href = "../ch2/ch2-04.html" > < strong aria-hidden = "true" > 2.4.< / strong > 赋值< / a > < / li > < li class = "chapter-item expanded " > < a href = "../ch2/ch2-05.html" > < strong aria-hidden = "true" > 2.5.< / strong > 类型< / a > < / li > < li class = "chapter-item expanded " > < a href = "../ch2/ch2-06.html" > < strong aria-hidden = "true" > 2.6.< / strong > 包和文件< / a > < / li > < li class = "chapter-item expanded " > < a href = "../ch2/ch2-07.html" > < strong aria-hidden = "true" > 2.7.< / strong > 作用域< / a > < / li > < / ol > < / li > < li class = "chapter-item expanded " > < a href = "../ch3/ch3.html" > < strong aria-hidden = "true" > 3.< / strong > 基础数据类型< / a > < / li > < li > < ol class = "section" > < li class = "chapter-item expanded " > < a href = "../ch3/ch3-01.html" > < strong aria-hidden = "true" > 3.1.< / strong > 整型< / a > < / li > < li class = "chapter-item expanded " > < a href = "../ch3/ch3-02.html" > < strong aria-hidden = "true" > 3.2.< / strong > 浮点数< / a > < / li > < li class = "chapter-item expanded " > < a href = "../ch3/ch3-03.html" > < strong aria-hidden = "true" > 3.3.< / strong > 复数< / a > < / li > < li class = "chapter-item expanded " > < a href = "../ch3/ch3-04.html" > < strong aria-hidden = "true" > 3.4.< / strong > 布尔型< / a > < / li > < li class = "chapter-item expanded " > < a href = "../ch3/ch3-05.html" > < strong aria-hidden = "true" > 3.5.< / strong > 字符串< / a > < / li > < li class = "chapter-item expanded " > < a href = "../ch3/ch3-06.html" > < strong aria-hidden = "true" > 3.6.< / strong > 常量< / a > < / li > < / ol > < / li > < li class = "chapter-item expanded " > < a href = "../ch4/ch4.html" > < strong aria-hidden = "true" > 4.< / strong > 复合数据类型< / a > < / li > < li > < ol class = "section" > < li class = "chapter-item expanded " > < a href = "../ch4/ch4-01.html" > < strong aria-hidden = "true" > 4.1.< / strong > 数组< / a > < / li > < li class = "chapter-item expanded " > < a href = "../ch4/ch4-02.html" > < strong aria-hidden = "true" > 4.2.< / strong > Slice< / a > < / li > < li class = "chapter-item expanded " > < a href = "../ch4/ch4-03.html" > < strong aria-hidden = "true" > 4.3.< / strong > Map< / a > < / li > < li class = "chapter-item expanded " > < a href = "../ch4/ch4-04.html" > < strong aria-hidden = "true" > 4.4.< / strong > 结构体< / a > < / li > < li class = "chapter-item expanded " > < a href = "../ch4/ch4-05.html" > < strong aria-hidden = "true" > 4.5.< / strong > JSON< /
2022-08-04 06:59:33 +00:00
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2024-06-12 07:20:07 +00:00
< li > < em > Go语言圣经读书笔记(挖坑中...): < a href = "https://github.com/chai2010/gopl-notes-zh" > https://github.com/chai2010/gopl-notes-zh< / a > < / em > < / li >
< li > < em > 凹语言(Go实现, 面向WASM设计): < a href = "https://github.com/wa-lang/wa" > https://github.com/wa-lang/wa< / a > < / em > < / li >
2023-06-26 17:46:27 +00:00
< / ul >
2022-08-04 06:59:33 +00:00
< hr >
< h2 id = "86-示例-并发的web爬虫" > < a class = "header" href = "#86-示例-并发的web爬虫" > 8.6. 示例: 并发的Web爬虫< / a > < / h2 >
< p > 在5.6节中, 我们做了一个简单的web爬虫, 用bfs(广度优先)算法来抓取整个网站。在本节中, 我们会让这个爬虫并行化, 这样每一个彼此独立的抓取命令可以并行进行IO, 最大化利用网络资源。crawl函数和gopl.io/ch5/findlinks3中的是一样的。< / p >
< p > < u > < i > gopl.io/ch8/crawl1< / i > < / u > < / p >
< pre > < code class = "language-go" > func crawl(url string) []string {
fmt.Println(url)
list, err := links.Extract(url)
if err != nil {
log.Print(err)
}
return list
}
< / code > < / pre >
< p > 主函数和5.6节中的breadthFirst(广度优先)类似。像之前一样, 一个worklist是一个记录了需要处理的元素的队列, 每一个元素都是一个需要抓取的URL列表, 不过这一次我们用channel代替slice来做这个队列。每一个对crawl的调用都会在他们自己的goroutine中进行并且会把他们抓到的链接发送回worklist。< / p >
< pre > < code class = "language-go" > func main() {
worklist := make(chan []string)
// Start with the command-line arguments.
go func() { worklist < - os.Args[1:] }()
// Crawl the web concurrently.
seen := make(map[string]bool)
for list := range worklist {
for _, link := range list {
if !seen[link] {
seen[link] = true
go func(link string) {
worklist < - crawl(link)
}(link)
}
}
}
}
< / code > < / pre >
< p > 注意这里的crawl所在的goroutine会将link作为一个显式的参数传入, 来避免“循环变量快照”的问题( 在5.6.1中有讲解) 。另外注意这里将命令行参数传入worklist也是在一个另外的goroutine中进行的, 这是为了避免channel两端的main goroutine与crawler goroutine都尝试向对方发送内容, 却没有一端接收内容时发生死锁。当然, 这里我们也可以用buffered channel来解决问题, 这里不再赘述。< / p >
< p > 现在爬虫可以高并发地运行起来, 并且可以产生一大坨的URL了, 不过还是会有俩问题。一个问题是在运行一段时间后可能会出现在log的错误信息里的: < / p >
< pre > < code > $ go build gopl.io/ch8/crawl1
$ ./crawl1 http://gopl.io/
http://gopl.io/
https://golang.org/help/
https://golang.org/doc/
https://golang.org/blog/
...
2015/07/15 18:22:12 Get ...: dial tcp: lookup blog.golang.org: no such host
2015/07/15 18:22:12 Get ...: dial tcp 23.21.222.120:443: socket: too many open files
...
< / code > < / pre >
< p > 最初的错误信息是一个让人莫名的DNS查找失败, 即使这个域名是完全可靠的。而随后的错误信息揭示了原因: 这个程序一次性创建了太多网络连接, 超过了每一个进程的打开文件数限制, 既而导致了在调用net.Dial像DNS查找失败这样的问题。< / p >
< p > 这个程序实在是太他妈并行了。无穷无尽地并行化并不是什么好事情, 因为不管怎么说, 你的系统总是会有一些个限制因素, 比如CPU核心数会限制你的计算负载, 比如你的硬盘转轴和磁头数限制了你的本地磁盘IO操作频率, 比如你的网络带宽限制了你的下载速度上限, 或者是你的一个web服务的服务容量上限等等。为了解决这个问题, 我们可以限制并发程序所使用的资源来使之适应自己的运行环境。对于我们的例子来说, 最简单的方法就是限制对links.Extract在同一时间最多不会有超过n次调用, 这里的n一般小于文件描述符的上限值, 比如20。这和一个夜店里限制客人数目是一个道理, 只有当有客人离开时, 才会允许新的客人进入店内。< / p >
< p > 我们可以用一个有容量限制的buffered channel来控制并发, 这类似于操作系统里的计数信号量概念。从概念上讲, channel里的n个空槽代表n个可以处理内容的token( 通行证) , 从channel里接收一个值会释放其中的一个token, 并且生成一个新的空槽位。这样保证了在没有接收介入时最多有n个发送操作。( 这里可能我们拿channel里填充的槽来做token更直观一些, 不过还是这样吧。) 由于channel里的元素类型并不重要, 我们用一个零值的struct{}来作为其元素。< / p >
< p > 让我们重写crawl函数, 将对links.Extract的调用操作用获取、释放token的操作包裹起来, 来确保同一时间对其只有20个调用。信号量数量和其能操作的IO资源数量应保持接近。< / p >
< p > < u > < i > gopl.io/ch8/crawl2< / i > < / u > < / p >
< pre > < code class = "language-go" > // tokens is a counting semaphore used to
// enforce a limit of 20 concurrent requests.
var tokens = make(chan struct{}, 20)
func crawl(url string) []string {
fmt.Println(url)
tokens < - struct{}{} // acquire a token
list, err := links.Extract(url)
< -tokens // release the token
if err != nil {
log.Print(err)
}
return list
}
< / code > < / pre >
< p > 第二个问题是这个程序永远都不会终止, 即使它已经爬到了所有初始链接衍生出的链接。( 当然, 除非你慎重地选择了合适的初始化URL或者已经实现了练习8.6中的深度限制, 你应该还没有意识到这个问题。) 为了使这个程序能够终止, 我们需要在worklist为空或者没有crawl的goroutine在运行时退出主循环。< / p >
< pre > < code class = "language-go" > func main() {
worklist := make(chan []string)
var n int // number of pending sends to worklist
// Start with the command-line arguments.
n++
go func() { worklist < - os.Args[1:] }()
// Crawl the web concurrently.
seen := make(map[string]bool)
for ; n > 0; n-- {
list := < -worklist
for _, link := range list {
if !seen[link] {
seen[link] = true
n++
go func(link string) {
worklist < - crawl(link)
}(link)
}
}
}
}
< / code > < / pre >
< p > 这个版本中, 计数器n对worklist的发送操作数量进行了限制。每一次我们发现有元素需要被发送到worklist时, 我们都会对n进行++操作, 在向worklist中发送初始的命令行参数之前, 我们也进行过一次++操作。这里的操作++是在每启动一个crawler的goroutine之前。主循环会在n减为0时终止, 这时候说明没活可干了。< / p >
< p > 现在这个并发爬虫会比5.6节中的深度优先搜索版快上20倍, 而且不会出什么错, 并且在其完成任务时也会正确地终止。< / p >
< p > 下面的程序是避免过度并发的另一种思路。这个版本使用了原来的crawl函数, 但没有使用计数信号量, 取而代之用了20个常驻的crawler goroutine, 这样来保证最多20个HTTP请求在并发。< / p >
< pre > < code class = "language-go" > func main() {
worklist := make(chan []string) // lists of URLs, may have duplicates
unseenLinks := make(chan string) // de-duplicated URLs
// Add command-line arguments to worklist.
go func() { worklist < - os.Args[1:] }()
// Create 20 crawler goroutines to fetch each unseen link.
for i := 0; i < 20; i++ {
go func() {
for link := range unseenLinks {
foundLinks := crawl(link)
go func() { worklist < - foundLinks }()
}
}()
}
// The main goroutine de-duplicates worklist items
// and sends the unseen ones to the crawlers.
seen := make(map[string]bool)
for list := range worklist {
for _, link := range list {
if !seen[link] {
seen[link] = true
unseenLinks < - link
}
}
}
}
< / code > < / pre >
< p > 所有的爬虫goroutine现在都是被同一个channel - unseenLinks喂饱的了。主goroutine负责拆分它从worklist里拿到的元素, 然后把没有抓过的经由unseenLinks channel发送给一个爬虫的goroutine。< / p >
< p > seen这个map被限定在main goroutine中; 也就是说这个map只能在main goroutine中进行访问。类似于其它的信息隐藏方式, 这样的约束可以让我们从一定程度上保证程序的正确性。例如, 内部变量不能够在函数外部被访问到; 变量( §2.3.4)在没有发生变量逃逸(译注:局部变量被全局变量引用地址导致变量被分配在堆上)的情况下是无法在函数外部访问的;一个对象的封装字段无法被该对象的方法以外的方法访问到。在所有的情况下,信息隐藏都可以帮助我们约束我们的程序,使其不发生意料之外的情况。< / p >
< p > crawl函数爬到的链接在一个专有的goroutine中被发送到worklist中来避免死锁。为了节省篇幅, 这个例子的终止问题我们先不进行详细阐述了。< / p >
< p > < strong > 练习 8.6: < / strong > 为并发爬虫增加深度限制。也就是说, 如果用户设置了depth=3, 那么只有从首页跳转三次以内能够跳到的页面才能被抓取到。< / p >
< p > < strong > 练习 8.7: < / strong > 完成一个并发程序来创建一个线上网站的本地镜像, 把该站点的所有可达的页面都抓取到本地硬盘。为了省事, 我们这里可以只取出现在该域下的所有页面( 比如golang.org开头, 译注: 外链的应该就不算了。) 当然了, 出现在页面里的链接你也需要进行一些处理, 使其能够在你的镜像站点上进行跳转, 而不是指向原始的链接。< / p >
< p > < strong > 译注:< / strong >
拓展阅读 < a href = "http://marcio.io/2015/07/handling-1-million-requests-per-minute-with-golang/" > Handling 1 Million Requests per Minute with Go< / a > 。< / p >
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