实际执行信号的处理动作称为信号递达(Delivery),信号从产生到递达之间的状态,称为信号未决(Pending)。进程可以选择阻塞(Block)某个信号。被阻塞的信号产生时将保持在未决状态,直到进程解除对此信号的阻塞,才执行递达的动作。注意,阻塞和忽略是不同的,只要信号被阻塞就不会递达,而忽略是在递达之后可选的一种处理动作。信号在内核中的表示可以看作是这样的:

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" alt="" />

每个信号都有两个标志位分别表示阻塞和未决,还有一个函数指针表示处理动作。信号产生时,内核在进程控制块中设置该信号的未决标志,直到信号递达才清除该标志。在上图的例子中,

SIGHUP信号未阻塞也未产生过,当它递达时执行默认处理动作。

SIGINT信号产生过,但正在被阻塞,所以暂时不能递达。虽然它的处理动作是忽略,但在没有解除阻塞之前不能忽略这个信号,因为进程仍有机会改变处理动作之后再解除阻塞。

SIGQUIT信号未产生过,一旦产生SIGQUIT信号将被阻塞,它的处理动作是用户自定义函数sighandler。

如果在进程解除对某信号的阻塞之前这种信号产生过多次,将如何处理?POSIX.1允许系统递送该信号一次或多次。Linux是这样实现的:常规信号在递达之前产生多次只计一次,而实时信号在递达之前产生多次可以依次放在一个队列里。本章不讨论实时信号。从上图来看,每个信号只有一个bit的未决标志,非0即1,不记录该信号产生了多少次,阻塞标志也是这样表示的。因此,未决和阻塞标志可以用相同的数据类型sigset_t来存储,sigset_t称为信号集,这个类型可以表示每个信号的“有效”或“无效”状态,在阻塞信号集中“有效”和“无效”的含义是该信号是否被阻塞,而在未决信号集中“有效”和“无效”的含义是该信号是否处于未决状态。下一节将详细介绍信号集的各种操作。阻塞信号集也叫做当前进程的信号屏蔽字(Signal Mask),这里的“屏蔽”应该理解为阻塞而不是忽略。

信号集操作函数

sigset_t类型对于每种信号用一个bit表示“有效”或“无效”状态,至于这个类型内部如何存储这些bit则依赖于系统实现,从使用者的角度是不必关心的,使用者只能调用以下函数来操作sigset_t变量,而不应该对它的内部数据做任何解释,比如用printf直接打印sigset_t变量是没有意义的。

#include <signal.h>

int sigemptyset(sigset_t *set);
int sigfillset(sigset_t *set);
int sigaddset(sigset_t *set, int signo);
int sigdelset(sigset_t *set, int signo);
int sigismember(const sigset_t *set, intsigno);

函数sigemptyset初始化set所指向的信号集,使其中所有信号的对应bit清零,表示该信号集不包含任何有效信号。函数sigfillset初始化set所指向的信号集,使其中所有信号的对应bit置位,表示该信号集的有效信号包括系统支持的所有信号。注意,在使用sigset_t类型的变量之前,一定要调用sigemptyset或sigfillset做初始化,使信号集处于确定的状态。初始化sigset_t变量之后就可以在调用sigaddset和sigdelset在该信号集中添加或删除某种有效信号。这四个函数都是成功返回0,出错返回-1。sigismember是一个布尔函数,用于判断一个信号集的有效信号中是否包含某种信号,若包含则返回1,不包含则返回0,出错返回-1。

每个进程都有一个用来描述哪些信号递送到进程时将被阻塞的信号集,该信号集中的所有信号在递送到进程后都将被阻塞。下面是与信号阻塞相关的几个函数:

#include <signal.h>
int sigprocmask(int how, const sigset_t *set, sigset_t *oldset));
int sigpending(sigset_t *set));
int sigsuspend(const sigset_t *mask));

sigprocmask函数

调用函数sigprocmask可以读取或更改进程的信号屏蔽字。

#include <signal.h>

int sigprocmask(int how, const sigset_t*set, sigset_t *oset);返回值:若成功则为0,若出错则为-1

如果oset是非空指针,则读取进程的当前信号屏蔽字通过oset参数传出。如果set是非空指针,则更改进程的信号屏蔽字,参数how指示如何更改。如果oset和set都是非空指针,则先将原来的信号屏蔽字备份到oset里,然后根据set和how参数更改信号屏蔽字。

sigprocmask()函数能够根据参数how来实现对信号集的操作,操作主要有三种:

参数how          进程当前信号集

SIG_BLOCK       在进程当前阻塞信号集中添加set指向信号集中的信号

SIG_UNBLOCK 如果进程阻塞信号集中包含set指向信号集中的信号,则解除对该信号的阻塞

SIG_SETMASK  更新进程阻塞信号集为set指向的信号集

如果调用sigprocmask解除了对当前若干个未决信号的阻塞,则在sigprocmask返回前,至少将其中一个信号递达。

 sigpending函数

#include <signal.h>

int sigpending(sigset_t *set);

sigpending读取当前进程的未决信号集,通过set参数传出。调用成功则返回0,出错则返回-1。

sigsuspend(const sigset_t *mask))用于在接收到某个信号之前,临时用mask替换进程的信号掩码, 并暂停进程执行,直到收到信号为止。sigsuspend 返回后将恢复调用之前的信号掩码。信号处理函数完成后,进程将继续执行。该系统调用始终返回-1,并将errno设置为EINTR。

结构体itimerval:

           struct itimerval {
struct timeval it_interval; /*next value */
struct timeval it_value; /* current value */
};
struct timeval {
long tv_sec; /* seconds */
long tv_usec; /* microseconds */
};

三参数信号处理函数中第二个参数的说明性描述:

siginfo_t {
    int     si_signo;  /* 信号值,对所有信号有意义*/
    int     si_errno;  /* errno值,对所有信号有意义*/
    int     si_code;   /* 信号产生的原因,对所有信号有意义*/
    pid_t   si_pid;    /* 发送信号的进程ID,对kill(2),实时信号以及SIGCHLD有意义 */
    uid_t   si_uid;    /* 发送信号进程的真实用户ID,对kill(2),实时信号以及SIGCHLD有意义 */
    int     si_status; /* 退出状态,对SIGCHLD有意义*/
    clock_t si_utime;  /* 用户消耗的时间,对SIGCHLD有意义 */
    clock_t si_stime;  /* 内核消耗的时间,对SIGCHLD有意义 */
    sigval_t si_value;  /* 信号值,对所有实时有意义,是一个联合数据结构,

/*可以为一个整数(由si_int标示,也可以为一个指针,由si_ptr标示)*/

    void *  si_addr;   /* 触发fault的内存地址,对SIGILL,SIGFPE,SIGSEGV,SIGBUS信号有意义*/
    int     si_band;   /* 对SIGPOLL信号有意义 */
    int     si_fd;     /* 对SIGPOLL信号有意义 */

}

实际上,除了前三个元素外,其他元素组织在一个联合结构中,在联合数据结构中,又根据不同的信号组织成不同的结构。注释中提到的对某种信号有意义指的是,在该信号的处理函数中可以访问这些域来获得与信号相关的有意义的信息,只不过特定信号只对特定信息感兴趣而已。

下面是一个例子:

#include <signal.h>
#include <stdio.h> void printsigset(const sigset_t *set)
{
inti;
for(i = 1; i < 32; i++)
if(sigismember(set, i) == 1)
putchar('1');
else
putchar('0');
puts("");
} int main(void)
{
sigset_ts, p;
sigemptyset(&s);
sigaddset(&s,SIGINT);
sigprocmask(SIG_BLOCK,&s, NULL);
while(1) {
sigpending(&p);
printsigset(&p);
sleep(1);
}
return0;
}

程序运行时,每秒钟把各信号的未决状态打印一遍,由于我们阻塞了SIGINT信号,按Ctrl-C将会使SIGINT信号处于未决状态,按Ctrl-\仍然可以终止程序,因为SIGQUIT信号没有阻塞。

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