Java JVM、JNI、Native Function Interface、Create New Process Native Function API Analysis

目录

. JAVA JVM
. Java JNI: Java Native Interface
. Java Create New Process Native Function API Analysis In Linux
. Java Create New Process Native Function API Analysis In Windows

1. JAVA JVM

0x1: JVM架构简介

JVM是Java Virtual Machine(Java虚拟机)的缩写，JVM是一种用于计算设备的规范，它是一个虚构出来的计算机，是通过在实际的计算机上仿真模拟各种计算机功能来实现的
Java语言的一个非常重要的特点就是与平台的无关性。而使用Java虚拟机是实现这一特点的关键。一般的高级语言如果要在不同的平台上运行，至少需要编译成不同的目标代码。而引入Java语言虚拟机后，Java语言在不同平台上运行时不需要重新编译。Java语言使用Java虚拟机屏蔽了与具体平台相关的信息，使得Java语言编译程序只需生成在Java虚拟机上运行的目标代码(字节码)，就可以在多种平台上不加修改地运行。Java虚拟机在执行字节码时，把字节码解释成具体平台上的机器指令执行。这就是Java的能够"一次编译，到处运行"的原因

JVM的设计目标是提供一个基于抽象规格描述的计算机模型，为解释程序开发人员提很好的灵活性，同时也确保Java代码可在符合该规范的任何系统上运行。JVM对其实现的某些方面给出了具体的定义

. Java可执行代码，即字节码(Bytecode)格式，包括
    ) 操作码的语法和数值
    ) 操作数的语法和数值
    ) 标识符的数值表示方式
    ) Java类文件中的Java对象、常量缓冲池在JVM的存储映象
//这些定义为JVM解释器开发人员提供了所需的信息和开发环境
. JVM指令系统
. JVM寄存器
. JVM栈结构
. JVM碎片回收堆
. JVM存储区

JVM是JAVA的核心和基础，在JAVA编译器和OS平台之间的虚拟处理器。它是一种基于下层的操作系统和硬件平台并利用软件方法来实现的抽象的计算机，可以在上面执行JAVA的字节码程序
JAVA编译器只需面向JVM，生成JVM能理解的代码或字节码文件。Java源文件经编译器，编译成字节码程序，通过JVM将每一条指令翻译成不同平台机器码，通过特定平台运行

//JVM执行程序的过程
. 加载.class文件
. 管理并分配内存
. 执行垃圾收集

JRE(Java Runtime Environment)包含JVM的java程序的运行环境，即JVM是整个JRE的一部分
JVM是Java程序运行的容器，但是他同时也是操作系统的一个进程，因此他也有他自己的运行的生命周期，也有自己的代码和数据空间
JVM在整个JDK中处于最底层，负责与操作系统的交互，用来屏蔽操作系统环境，提供一个完整的Java运行环境，因此也就虚拟计算机。操作系统装入JVM是通过JDK中Java.exe来完成，通过下面4步来完成JVM环境(windows)

. 创建JVM装载环境和配置
. 装载JVM.dll
. 初始化JVM.dll，并挂接到JNIENV(JNI调用接口)实例
. 调用JNIEnv实例装载并处理class类 

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" alt="" />

Relevant Link:

http://baike.baidu.com/view/160708.htm
http://zh.wikipedia.org/wiki/Java%E8%99%9A%E6%8B%9F%E6%9C%BA
http://en.wikipedia.org/wiki/Java_virtual_machine

2. Java JNI: Java Native Interface

0x1: 本地方法栈(Native Method Stacks)

本地方法栈(Native Method Stacks)与虚拟机栈所发挥的作用很类似，区别是

. 虚拟机栈为虚拟机执行Java方法(字节码)服务
. 本地方法栈为虚拟机使用到的Native方法服务

虚拟机规范中对本地方法栈中的方法使用的语言、使用方式与数据结构并没有强制规定，因此具体的虚拟机可以自由实现它。甚至有的虚拟机(例如Sun HotSpot虚拟机)直接就把本地方法栈和虚拟机栈合二为一，与虚拟机一样，本地方法栈区域也会抛出StackOverflowError和OutOfMemoryError异常

0x2: Java本地接口

Java本地接口(JNI)是一个"编程框架"使得运行在Java虚拟机上的Java程序调用或者被调用特定于本机硬件与操作系统的用其它语言(C、C++或汇编语言等)编写的程序

. JNI允许用本地代码(和具体操作系统平台相关的代码，例如用glibc编译、和用CRT编译的平台相关代码)来解决纯粹用Java编程不能解决的平台相关的特性。也用于改造已存在的其它语言写的应用程序，供Java程序访问。许多使用了JNI的标准库提供了文件I/O与其它功能。标准库中性能敏感或平台敏感的API实现允许所有Java应用程序安全且平台独立地访问这些功能

. JNI框架使得本地方法可以访问Java对象，就如同Java程序访问这些本地对象。本地方法可以创建Java对象，然后检查、使用这些对象执行任务。本地方法也可以检查并使用由Java程序创建的对象

. Java开发人员称JNI为逃生门("escape hatch")，因为JINI允许增加标准Java API不能提供的功能。也可以用于时间关键的计算或者如解复杂数学方程，因为本地方法的运算比JVM更快。也可以在安卓上重用已存在的C/C++编写的库

0x3: 使用JNI存在的问题

. 使用JNI的精细的错误会使JVM不稳定，并且难以再现与调试 

. 仅有应用程序与signed applet可以调用JNI

. 依赖于JNI的应用程序失去了Java的平台移植性(部分解决之道是对每一平台写专门的JNI代码，然后Java检测操作系统并载入当前的JNI代码)

. JNI框架对本地端执行代码分配的非JVM资源，不提供任何自动的垃圾收集(例如C/C++代码)。因此，本地端代码负责释放任何在本地获取的资源

. Linux与Solaris平台，如果本地代码登记了自身作为信号处理器，会拦截原本发给JVM的信号。解决方法是应该使用信号链式的本地代码更好地与JVM合作 

. Windows平台上，结构化异常处理(SEH)可用于把本地代码包裹在SEH try/catch块中捕捉机器(CPU/FPU)生成的软中断(如: 空指针访问冲突、除0操作等)，在这些中断传播到JVM之前就得到处理，使JVM无法正常捕获到这些错误异常

0x4: JNI Code Example

在JNI框架柱，本地函数一般在单独的.c或.cpp文件中实现。当JVM调用这些函数，就传递

. JNIEnv指针
. jobject的指针 

env指向一个结构包含了到JVM的界面，包含了所有必须的函数与JVM交互、访问Java对象。基本上，Java程序可以做的任何事情都可以用JNIEnv做。下面代码把Java字符串转化为本地字符串

//C++ code
extern "C"
JNIEXPORT void JNICALL Java_ClassName_MethodName (JNIEnv *env, jobject obj, jstring javaString)
{
    //Get the native string from javaString
    const char *nativeString = env->GetStringUTFChars(javaString, );

    //Do something with the nativeString

    //DON'T FORGET THIS LINE!!!
    env->ReleaseStringUTFChars(javaString, nativeString);
}

/*C code*/
JNIEXPORT void JNICALL Java_ClassName_MethodName (JNIEnv *env, jobject obj, jstring javaString)
{
    /*Get the native string from javaString*/
    const char *nativeString = (*env)->GetStringUTFChars(env, javaString, );

    /*Do something with the nativeString*/

    /*DON'T FORGET THIS LINE!!!*/
    (*env)->ReleaseStringUTFChars(env, javaString, nativeString);
}

/*Objective-C code*/
JNIEXPORT void JNICALL Java_ClassName_MethodName (JNIEnv *env, jobject obj, jstring javaString)
{
    /*DON'T FORGET THIS LINE!!!*/
    JNF_COCOA_ENTER(env);

    /*Get the native string from javaString*/
    NSString* nativeString = JNFJavaToNSString(env, javaString);

    /*Do something with the nativeString*/

    /*DON'T FORGET THIS LINE!!!*/
    JNF_COCOA_EXIT(env);
}

本地数据类型与Java数据类型可以互相映射。对于复合数据类型，如对象，数组，字符串，就必须用JNIEnv中的方法来显示地转换
Relevant Link:

http://zh.wikipedia.org/wiki/Java%E6%9C%AC%E5%9C%B0%E6%8E%A5%E5%8F%A3
http://www.cnblogs.com/mandroid/archive/2011/06/15/2081093.html
http://www.cnblogs.com/icejoywoo/archive/2012/02/22/2363709.html
http://www.ibm.com/developerworks/cn/java/j-jni/

3. Java Create New Process Native Function API Analysis In Linux

0x1: Java创建新进程涉及到的类、方法

1. java.lang.Runtime.exec(String[] cmdarray, String[] envp);

package com.tutorialspoint;

public class RuntimeDemo {

   public static void main(String[] args) {
      try {

         // create a new array of 2 strings
         String[] cmdArray = new String[];

         // first argument is the program we want to open
         cmdArray[] = "ls -l";

         // second argument is a parameter
         cmdArray[] = ".";

         // print a message
         System.out.println("listing the current directory");

         Process process = Runtime.getRuntime().exec(cmdArray, null);

         // print another message
         System.out.println("list directory is ok");

      } catch (Exception ex) {
         ex.printStackTrace();
      }

   }
}

Relevant Link:

http://docs.oracle.com/javase/7/docs/api/java/lang/Runtime.html#exec(java.lang.String[],%20java.lang.String[],%20java.io.File)
http://www.tutorialspoint.com/java/lang/runtime_exec_envp.htm

2. Process p = new ProcessBuilder("myCommand", "myArg").start();

package com.javacodegeeks.process;

import java.io.BufferedReader;
import java.io.IOException;
import java.io.InputStream;
import java.io.InputStreamReader;

public class ProcessBuilderExample
{
    public static void main(String[] args) throws InterruptedException, IOException
    {
        ProcessBuilder pb = new ProcessBuilder("echo", "This is ProcessBuilder Example from JCG");
        System.out.println("Run echo command");
        Process process = pb.start();
        int errCode = process.waitFor();
        System.out.println("Echo command executed, any errors? " + (errCode ==  ? "No" : "Yes"));
        System.out.println("Echo Output:\n" + output(process.getInputStream()));
    }

    private static String output(InputStream inputStream) throws IOException
    {
        StringBuilder sb = new StringBuilder();
        BufferedReader br = null;
        try
        {
            br = new BufferedReader(new InputStreamReader(inputStream));
            String line = null;
            while ((line = br.readLine()) != null)
            {
                sb.append(line + System.getProperty("line.separator"));
            }
        }
        finally
        {
            br.close();
        }
        return sb.toString();
    }
}

Relevant Link:

http://examples.javacodegeeks.com/core-java/lang/processbuilder/java-lang-processbuilder-example/
http://m.alvinalexander.com/java/java-exec-processbuilder-process-2
http://stackoverflow.com/questions/3468987/executing-another-application-from-java

0x2: difference between ProcessBuilder and Runtime.exec()

The various overloads of Runtime.getRuntime().exec(...) take either an array of strings or a single string. The single-string overloads of exec() will tokenise the string into an array of arguments, before passing the string array onto one of the exec() overloads that takes a string array. The ProcessBuilder constructors, on the other hand, only take a varargs array of strings or a List of strings, where each string in the array or list is assumed to be an individual argument. Either way, the arguments obtained are then joined up into a string that is passed to the OS to execute.

java下创建新进程的2种不同的方法的区别简单来说是这样的

. exec
Runtime.getRuntime().exec("C:\DoStuff.exe -arg1 -arg2");

. ProcessBuilder
rocessBuilder b = new ProcessBuilder("C:\DoStuff.exe", "-arg1", "-arg2");

List<String> params = java.util.Arrays.asList("C:\DoStuff.exe", "-arg1", "-arg2");
ProcessBuilder b = new ProcessBuilder(params);
/*
1. ProcessBuilder.start() 和 Runtime.exec()传递的参数有所不同
    1) Runtime.exec()可接受一个单独的字符串，这个字符串是通过空格来分隔可执行命令程序和参数的，也可以接受字符串数组参数
    2) ProcessBuilder的构造函数是一个字符串列表或者数组。列表中第一个参数是可执行命令程序，其他的是命令行执行是需要的参数  

2. 每个ProcessBuilder实例管理一个进程属性集。ProcessBuilder的start()方法利用这些属性创建一个新的Process实例。start()方法可以从同一实例重复调用，以利用相同或者相关的属性创建新的子进程

3. ProcessBuilder还提供了一些额外的功能，例如
    1) 重复执行
    2) 设置环境变量
*/

Relevant Link:

http://www.java-tips.org/java-se-tips/java.util/from-runtime.exec-to-processbuilder.html
http://www.scala-lang.org/old/node/7146
http://stackoverflow.com/questions/6856028/difference-between-processbuilder-and-runtime-exec
http://lavasoft.blog.51cto.com/62575/15662/

0x3: Runtime.exec()源代码分析

/*
ProcessBuilder#start()} is now the preferred way to start a process with a modified environment.
*/
public Process exec(String[] cmdarray, String[] envp, File dir) throws IOException
{
    return new ProcessBuilder(cmdarray)
        .environment(envp)
        .directory(dir)
        .start();
}

在JDK的实现中，Runtime.exec是只是一个包装函数，最终是通过调用ProcessBuilder实现的新进程创建

Relevant Link:

http://www.docjar.com/html/api/java/lang/Runtime.java.html

0x4: ProcessBuilder源代码分析

public Process start() throws IOException {
        // Must convert to array first -- a malicious user-supplied
        // list might try to circumvent the security check.
        String[] cmdarray = command.toArray(new String[command.size()]);
        cmdarray = cmdarray.clone();

        for (String arg : cmdarray)
            if (arg == null)
                throw new NullPointerException();
        // Throws IndexOutOfBoundsException if command is empty
        String prog = cmdarray[];

        SecurityManager security = System.getSecurityManager();
        if (security != null)
            security.checkExec(prog);

        String dir = directory == null ? null : directory.toString();

        try {
            return ProcessImpl.start(cmdarray,
                                     environment,
                                     dir,
                                     redirects,
                                     redirectErrorStream);
        } catch (IOException e) {
            // It's much easier for us to create a high-quality error
            // message than the low-level C code which found the problem.
            throw new IOException(
                "Cannot run program \"" + prog + "\""
                + (dir == null ? "" : " (in directory \"" + dir + "\")")
                + ": " + e.getMessage(),
                e);
        }
    }

继续跟进ProcessImpl.start

// Only for use by ProcessBuilder.start()
static Process start(String[] cmdarray,
         java.util.Map<String,String> environment,
         String dir,
         ProcessBuilder.Redirect[] redirects,
         boolean redirectErrorStream)
throws IOException
{
    ...

    return new UNIXProcess
        (toCString(cmdarray[]),
         argBlock, args.length,
         envBlock, envc[],
         toCString(dir),
         std_fds,
         redirectErrorStream);
    ...
}

继续跟进UNIXProcess

//构造函数
UNIXProcess(final byte[] prog,
                final byte[] argBlock, final int argc,
                final byte[] envBlock, final int envc,
                final byte[] dir,
                final int[] fds,
                final boolean redirectErrorStream)
            throws IOException
{
    pid = forkAndExec(prog,
          argBlock, argc,
          envBlock, envc,
          dir,
          fds,
          redirectErrorStream);

    try
    {
        AccessController.doPrivileged
        (new PrivilegedExceptionAction<Void>()
        {
            public Void run() throws IOException
            {
                initStreams(fds);
                return null;
            }
        }
        );
    }
    catch (PrivilegedActionException ex)
    {
        throw (IOException) ex.getException();
    }
}

继续跟进forkAndExec

/**
* Create a process using fork(2) and exec(2).
*
* @param fds an array of three file descriptors.
*        Indexes 0, 1, and 2 correspond to standard input,
*        standard output and standard error, respectively.  On
*        input, a value of -1 means to create a pipe to connect
*        child and parent processes.  On output, a value which
*        is not -1 is the parent pipe fd corresponding to the
*        pipe which has been created.  An element of this array
*        is -1 on input if and only if it is <em>not</em> -1 on
*        output.
* @return the pid of the subprocess
*/
private native int forkAndExec(byte[] prog,
               byte[] argBlock, int argc,
               byte[] envBlock, int envc,
               byte[] dir,
               int[] fds,
               boolean redirectErrorStream)
throws IOException;

/**
* The thread factory used to create "process reaper" daemon threads.
*/
private static class ProcessReaperThreadFactory implements ThreadFactory
{
    private final static ThreadGroup group = getRootThreadGroup();

    private static ThreadGroup getRootThreadGroup()
    {
        return AccessController.doPrivileged(new PrivilegedAction<ThreadGroup> ()
        {
            public ThreadGroup run()
            {
                ThreadGroup root = Thread.currentThread().getThreadGroup();
                while (root.getParent() != null)
                    root = root.getParent();
                return root;
            }
        }
        );
    }

    public Thread newThread(Runnable grimReaper)
    {
        // Our thread stack requirement is quite modest.
        Thread t = new Thread(group, grimReaper, "process reaper", );
        t.setDaemon(true);
        // A small attempt (probably futile) to avoid priority inversion
        t.setPriority(Thread.MAX_PRIORITY);
        return t;
    }
}

forkAndExec是一个JNI函数，即它的实现代码是通过外部的.so文件实现的

//本机上是这个
./usr/lib/jvm/java-1.7.-openjdk-1.7.0.75.x86_64/jre/lib/amd64/libjava.so

./usr/lib/jvm/java-1.8.-openjdk-1.8.0.31-.b13.el6_6.x86_64/jre/lib/amd64/libjava.so
./usr/lib/jvm/java-1.6.-openjdk-1.6.0.34.x86_64/jre/lib/amd64/libjava.so

objdump -tT /usr/lib/jvm/java-1.7.0-openjdk-1.7.0.75.x86_64/jre/lib/amd64/libjava.so | grep forkAndExec

 g    DF .text    00000000000006fd  SUNWprivate_1. Java_java_lang_UNIXProcess_forkAndExec

\openjdk\jdk\src\solaris\native\java\lang\UNIXProcess_md.c

JNIEXPORT jint JNICALL Java_java_lang_UNIXProcess_forkAndExec(JNIEnv *env,
                                       jobject process,
                                       jbyteArray prog,
                                       jbyteArray argBlock, jint argc,
                                       jbyteArray envBlock, jint envc,
                                       jbyteArray dir,
                                       jintArray std_fds,
                                       jboolean redirectErrorStream)
{
    ...
    //创建新的子进程
    resultPid = startChild(c);
    assert(resultPid != );

    ...
}

跟进resultPid = startChild(c);

static pid_t startChild(ChildStuff *c)
{
#if START_CHILD_USE_CLONE
...
    return clone(childProcess, c->clone_stack + START_CHILD_CLONE_STACK_SIZE, CLONE_VFORK | CLONE_VM | SIGCHLD, c);
#else
    volatile pid_t resultPid = vfork();
#else
    //fork从当前进程中复制出子进程，fork是glibc库提供的包装函数，底层实现了fork()系统调用
    pid_t resultPid = fork();
#endif
    if (resultPid == )
        //新创建的子进程需要继续调用exec() API系列
        childProcess(c);
    assert(resultPid != );  /* childProcess never returns */
    return resultPid;
#endif /* ! START_CHILD_USE_CLONE */
}

继续跟进childProcess(c);

/**
 * Child process after a successful fork() or clone().
 * This function must not return, and must be prepared for either all
 * of its address space to be shared with its parent, or to be a copy.
 * It must not modify global variables such as "environ".
 */
static int childProcess(void *arg)
{
    ...
    JDK_execvpe(p->argv[], p->argv, p->envv);
    ...
}

继续跟进JDK_execvpe(p->argv[0], p->argv, p->envv);

/**
 * 'execvpe' should have been included in the Unix standards,
 * and is a GNU extension in glibc 2.10.
 *
 * JDK_execvpe is identical to execvp, except that the child environment is
 * specified via the 3rd argument instead of being inherited from environ.
 */
static void JDK_execvpe(const char *file, const char *argv[], const char *const envp[])
{
    if (envp == NULL || (char **) envp == environ)
    {
        //调用glibc的execvp，将新的进程文件载入内存，进行执行
        execvp(file, (char **) argv);
        return;
    }
    ...
}

总结一下

. Runtime.getRuntime().exec(cmd)的执行流程：
java.lang.Runtime.exec(cmd);
--java.lang.ProcessBuilder.start();
----java.lang.ProcessImpl.start();
------Java_java_lang_UNIXProcess_forkAndExec() in j2se/src/solaris/native/java/lang/UNIXProcess_md.c
--------). fork();
--------). execvp();

. Process p = new ProcessBuilder("myCommand", "myArg").start();的执行流程
--java.lang.ProcessBuilder.start();
----java.lang.ProcessImpl.start();
------Java_java_lang_UNIXProcess_forkAndExec() in j2se/src/solaris/native/java/lang/UNIXProcess_md.c
--------). fork();
--------). execvp();

/*
需要注意的是，fork产生的子进程需要复制父进程在内存中的所有数据内容(代码段、数据段、堆栈段)，由于全部复制开销较大，因此Linux已经采用copy-on-write机制，即只是复制页表，共享内容，在有改变的时候再去申请内存和复制数据
*/

Relevant Link:

https://searchcode.com/codesearch/view/17990470/
http://www.docjar.com/html/api/java/lang/ProcessBuilder.java.html
https://searchcode.com/codesearch/view/17994182/
https://searchcode.com/codesearch/view/17966870/
http://blog.csdn.net/bigdatahappy/article/details/40115077

4. Java Create New Process Native Function API Analysis In Windows

待研究

Relevant Link:

http://www.ibm.com/developerworks/cn/java/j-lo-processthread/
http://docs.oracle.com/javase/7/docs/api/java/lang/ProcessBuilder.html
http://www.ibm.com/developerworks/cn/java/j-lo-processthread/
http://openjdk.java.net/groups/hotspot/

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