谈谈JIT编译器和本机影像生成器(NGen.exe)_.NET_编程开发_程序员俱乐部

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谈谈JIT编译器和本机影像生成器(NGen.exe)

 2013/12/20 11:09:18  田园里的蟋蟀  博客园  我要评论(0)
  • 摘要:前言在看《CLR》的时候,作者在开篇的时候提到了NGen.exe,前面一节执行程序集的代码中提到:程序或方法执行前会执行MSCorEE.dll中的JIT函数把要执行方法的IL转换成本地的CPU指令,讲代码放在内存块中,第二次调用方法的时候,由于已对方法进行了验证和编译,所以会直接执行内存块中的代码,不需要再执行JIT函数编译了。因为在方法没调用之前都会要调用JIT函数编译,在这一节的最后作者也提到,通过实验表明,CLR的JIT编译器似乎没有使自己的应用程序达到应有的性能,然后就提到了
  • 标签:编译器 编译

前言

  在看《CLR》的时候,作者在开篇的时候提到了NGen.exe,前面一节执行程序集的代码中提到:程序或方法执行前会执行MSCorEE.dll中的JIT函数把要执行方法的IL转换成本地的CPU指令,讲代码放在内存块中,第二次调用方法的时候,由于已对方法进行了验证和编译,所以会直接执行内存块中的代码,不需要再执行JIT函数编译了。因为在方法没调用之前都会要调用JIT函数编译,在这一节的最后作者也提到,通过实验表明,CLR的JIT编译器似乎没有使自己的应用程序达到应有的性能,然后就提到了.Net Framework SDK提供的NGen.exe工具。

疑问

  当时看到这段话的时候很兴奋,然后就接着看作者写的NGen.exe的介绍,可惜作者只用了几页的篇幅讲了下,感觉太少了,也有些疑问,然后就在MSDN上搜,找到了《Ngen.exe(本机映像生成器)》,仔细看了下,和作者写的差不多,其中详细写了NGen.exe的用法,自己也照着上面的方法,自己敲了个遍,可能是官方写的太官方或是小弟理解能力有限,总有点云里雾里的,然后又在博客园找到了一位园友写的《本机影像生成器(Ngen.exe)工具使用实践》,仔细看了下,主要是NGen.exe项目的简单应用,不是很全面的介绍NGen.exe的用法。

  结合上面所接触的,有几个疑问:

  1,JIT编译器的执行条件

  上面那位博文的作者在文章中提到

  但是《CLR》这本书的作者在写执行程序集中的代码这一节中提到:JIT编译器将本地CPU指令存储到动态内存中。一旦应用程序终止,编译好的代码也会被丢弃。所以再次运行应用程序,JIT编译器必须再次将IL代码编译成本地指令。

  就是说程序终止,再次运行程序还是会执行JIT编译器的。但是与上面“实时编译只在程序第一次运行时编译”有点矛盾。

  2,NGen.exe的作用

  MSDN和《CLR》的作者都说了NGen.exe的作用有两点,改善内存使用情况更快的应用程序启动速度,这里我只说使应用程序启动速度加快。

  NGen.exe操作会把相应的程序集的IL代码编译成本地代码,放到磁盘的某一目录下,下次执行程序的时候CLR会检测是否存在对应程序集由NGen.exe生成的文件,若不存在执行JIT编译器编译,若存在跳过JIT编译器,JIT编译器执行的条件是在执行方法之前编译,这时候我就有点迷糊了,MSDN上写的是NGen.exe的作用是使应用程序启动的速度加快而不是程序运行的速度加快,就是说在程序运行的时候,如果调用某一方法,还是会执行JIT编译器的,就有点矛盾了。或者这样说JIT编译器是不是在程序启动的时候执行,执行所有代码的编译?如果是,那NGen.exe使程序启动的速度加快这个作用是对的,我个人感觉并不是这样,比较那么纳闷的是为什么没有使程序运行的速度加快,因为NGen.exe已经把相关的程序集编译好了,程序调用某一方法的时候就不需要再执行JIT编译器了,少了编译速度不是更快了?

  3,NGen.exe安装程序集依赖项

  MSDN中提到

  

  但是我试了下并没有安装程序的依赖项

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" alt="" />

  

  4,NGen.exe检测映像变化

  或者不是NGen.exe检测,其他的方式暂时也没发现,如果是自己程序中的程序集发生变化可以通过程序来判断,但是外部的变化就不太好检测了,比如:

  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" alt="" />

  5,NGen.exe更新映像

  MSDN提供了两种更新映像的方式,但是没有指定程序集更新,如果说程序集发生变化,就需要全部更新映像花费时间太长,下面的更新方式的说明不是很清楚,不知是不是自动检测映像变化更新。

  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" alt="" />

后记  

  以上疑问,跪求大神指点。。。。  

  不知是用NGen.exe后会性能会优化多少,暂时没有找到相关的方法测试,有机会会好好测试下,想想NGen.exe的用武之地应该是大型的Winfrom项目,而且业务逻辑应该很复杂的那种,如果只是简单的程序,就没这个必要了。

  

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