linux内核数据结构学习总结

目录

. 进程相关数据结构
) struct task_struct
) struct cred
) struct pid_link
) struct pid
) struct signal_struct
) struct rlimit
. 内核中的队列/链表对象
) singly-linked lists
) singly-linked tail queues
) doubly-linked lists
) doubly-linked tail queues
. 内核模块相关数据结构
) struct module
. 文件系统相关数据结构
) struct file
) struct inode
) struct stat
) struct fs_struct
) struct files_struct
) struct fdtable
) struct dentry
) struct vfsmount
) struct nameidata
) struct super_block
) struct file_system_type
. 内核安全相关数据结构
) struct security_operations
) struct kprobe
) struct jprobe
) struct kretprobe
) struct kretprobe_instance
) struct kretprobe_blackpoint 、struct kprobe_blacklist_entry
) struct linux_binprm
) struct linux_binfmt
. 系统网络状态相关的数据结构
) struct ifconf
) struct ifreq
) struct socket
) struct sock
) struct proto_ops
) struct inet_sock
) struct sockaddr
. 系统内存相关的数据结构
) struct mm_struct
) struct vm_area_struct
) struct pg_data_t
) struct zone
) struct page
. 中断相关的数据结构
) struct irq_desc
) struct irq_chip
) struct irqaction
. 进程间通信(IPC)相关数据结构
) struct ipc_namespace
) struct ipc_ids
) struct kern_ipc_perm
) struct sysv_sem
) struct sem_queue
) struct msg_queue
) struct msg_msg
) struct msg_sender
) struct msg_receiver
) struct msqid_ds
. 命名空间(namespace)相关数据结构
) struct pid_namespace
) struct pid、struct upid
) struct nsproxy
) struct mnt_namespace

1. 进程相关数据结构

0x0: CURRENT宏

我们知道,在windows中使用PCB(进程控制块)来对进程的运行状态进行描述,对应的,在linux中使用task_struct结构体存储相关的进程信息

task_struct在linux/sched.h文件里定义(在使用current宏的时候一定要引入这个头文件)

值得注意的是,在linux内核编程中常用的current宏可以非常简单地获取到指向task_struct的指针,这个宏和体系结构有关,大多数情况下,我们都是x86体系结构的,所以在arch/x86目录下,其他体系结构的类推

目前主流的体系结构有x86、ARM、MIPS架构,在继续学习之前,我们先来简单了解一下什么是体系结构

在计算世界中,"体系结构"一词被用来描述一个抽象的机器,而不是一个具体的机器实现。一般而言,一个CPU的体系结构有一个指令集加上一些寄存器而组成。"指令集"与"体系结构"这两个术语是同义词  

X86、MIPS、ARM三种cpu的体系结构和特点

. X86 
X86采用了CISC指令集。在CISC指令集的各种指令中,大约有20%的指令会被反复使用,占整个程序代码的80%。而余下的80%的指令却不经常使用,在程序设计中只占20%。 
1.1 总线接口部件BIU 
  总线接口部件由以下几部分组成
) 4个16位段寄存器(DS、ES、SS、CS)
) 一个16位指令指针寄存器(IP)
) 20位物理地址加法器
) 6字节指令队列(8088为4字节)
) 总线控制电路组成,负责与存储器及I/O端口的数据传送   
1.2 执行部件EU 
执行部件由以下几部分组成,其任务就是从指令队列流中取出指令,然后分析和执行指令,还负责计算操作数的16位偏移地址
) ALU
) 寄存器阵列(AX、BX、CX、DX、SI、DI、BP、SP)
) 标志寄存器(PSW)等几个部分组成
1.3 寄存器的结构 
) 数据寄存器AX、BX、CX、DX均为16位的寄存器,它们中的每一个又可分为高字节H和低字节L。即AH、BH、CH、DH及AL、BL、CL、DL可作为单独的8位寄存器使用。不论16位寄存器还是8位寄存器,它们均可寄存操作数及
运算的中间结果。有少数指令指定某个寄存器专用,例如,串操作指令指定CX专门用作记录串中元素个数的计数器。  
) 段寄存器组:CS、DS、SS、ES。/8088的20位物理地址在CPU内部要由两部分相加形成的
2.1) 指明其偏移地址
SP、BP、SI、DI标识20位物理地址的低16位,用于指明其偏移地址
2.2) 指明20位物理地址的高16位,故称作段寄存器,4个存储器使用专一,不能互换
2.2.) CS: CS识别当前代码段
2.2.) DS: DS识别当前数据段
2.2.) SS: SS识别当前堆栈段
2.2.) ES: ES识别当前附加段
一般情况下,DS和ES都须用户在程序中设置初值
) 控制寄存器组
3.1) IP
指令指针IP用以指明当前要执行指令的偏移地址(段地址由CS提供)
3.2) FLAG
标志寄存器FLAG有16位,用了其中的九位,分两组:
3.2.) 状态标志: 用以记录状态信息,由6位组成,包括CF、AF、OF、SF、PF和ZF,它反映前一次涉及ALU操作的结果,对用户它"只读不写"
3.2.) 控制标志: 用以记录控制信息由3位组成,包括方向标志DF,中断允许标志IF及陷阱标志TF,中断允许标志IF及陷阱标志TF,可通过指令设置 . MIPS:  
) 所有指令都是32位编码; 
   ) 有些指令有26位供目标地址编码;有些则只有16位。因此要想加载任何一个32位值,就得用两个加载指令。16位的目标地址意味着,指令的跳转或子函数的位置必须在64K以内(上下32K)
) 所有的动作原理上要求必须在1个时钟周期内完成,一个动作一个阶段
) 有32个通用寄存器,每个寄存器32位(对32位机)或64位(对64位机)
) 对于MIPS体系结构来说,本身没有任何帮助运算判断的标志寄存器,要实现相应的功能时,是通过测试两个寄存器是否相等来完成 
  ) 所有的运算都是基于32位的,没有对字节和对半字的运算(MIPS里,字定义为32位,半字定义为16位) 
  ) 没有单独的栈指令,所有对栈的操作都是统一的内存访问方式。因为push和pop指令实际上是一个复合操作,包含对内存的写入和对栈指针的移动; 
  ) 由于MIPS固定指令长度,所以造成其编译后的二进制文件和内存占用空间比x86的要大,(x86平均指令长度只有3个字节多一点,而MIPS是4个字节)
  ) 寻址方式:只有一种内存寻址方式。就是基地址加一个16位的地址偏移
  ) 内存中的数据访问必须严格对齐(至少4字节对齐) 
  ) 跳转指令只有26位目标地址,再加上2位的对齐位,可寻址28位的空间,即256M
) 条件分支指令只有16位跳转地址,加上2位的对齐位,共18位寻址空间,即256K 
) MIPS默认不把子函数的返回地址(就是调用函数的受害指令地址)存放到栈中,而是存放到$31寄存器中;这对那些叶子函数有利。如果遇到嵌套的函数的话,有另外的机制处理; 
   ) 高度的流水线: *MIPS指令的五级流水线:(每条指令都包含五个执行阶段)
14.1) 第一阶段:从指令缓冲区中取指令。占一个时钟周期 
14.2) 第二阶段:从指令中的源寄存器域(可能有两个)的值(为一个数字,指定$~$31中的某一个)所代表的寄存器中读出数据。占半个时钟周期
14.3) 第三阶段:在一个时钟周期内做一次算术或逻辑运算。占一个时钟周期 
14.4) 第四阶段:指令从数据缓冲中读取内存变量的阶段。从平均来讲,大约有3/4的指令在这个阶段没做什么事情,但它是指令有序性的保证。占一个时钟周期
14.5) 第五阶段:存储计算结果到缓冲或内存的阶段。占半个时钟周期 
所以一条指令要占用四个时钟周期 . ARM 
ARM处理器是一个32位元精简指令集(RISC)处理器架构,其广泛地使用在许多嵌入式系统设计   
) RISC(Reduced Instruction Set Computer,精简指令集计算机) 
   RISC体系结构应具有如下特点: 
1.1) 采用固定长度的指令格式,指令归整、简单、基本寻址方式有2~3种
1.2) 使用单周期指令,便于流水线操作执行。 
1.3) 大量使用寄存器,数据处理指令只对寄存器进行操作,只有加载/ 存储指令可以访问存储器,以提高指令的执行效率
) ARM体系结构还采用了一些特别的技术,在保证高性能的前提下尽量缩小芯片的面积,并降低功耗 
2.1) 所有的指令都可根据前面的执行结果决定是否被执行,从而提高指令的执行效率
2.2) 可用加载/存储指令批量传输数据,以提高数据的传输效率。  
) 寄存器结构 
ARM处理器共有37个寄存器,被分为若干个组(BANK),这些寄存器包括
3.1) 31个通用寄存器,包括程序计数器(PC指针),均为32位的寄存器
3.2) 6个状态寄存器,用以标识CPU的工作状态及程序的运行状态,均为32位
) 指令结构 
ARM微处理器的在较新的体系结构中支持两种指令集:ARM指令集和Thumb指令集。其中,ARM指令为32位的长度,Thumb指令为16位长度。Thumb指令集为ARM指令集的功能子集,但与等价的ARM代码相比较,可节省30%~%以上的
存储空间,同时具备32位代码的所有优点。

我们接下来来看看内核代码中是如何实现current这个宏定义的

#ifndef __ASSEMBLY__
struct task_struct; //用于在编译时候声明一个perCPU变量该变量被放在一个特殊的段中,原型为DECLARE_PER_CPU(type,name),主要作用是为处理器创建一个type类型,名为name的变量
DECLARE_PER_CPU(struct task_struct *, current_task); static __always_inline struct task_struct *get_current(void)
{
return percpu_read_stable(current_task);
} #define current get_current()
#endif /* __ASSEMBLY__ */ #endif /* _ASM_X86_CURRENT_H */

继续跟踪percpu_read_stable()这个函数

\linux-2.6.32.63\arch\x86\include\asm\percpu.h

#define percpu_read_stable(var)    percpu_from_op("mov", per_cpu__##var, "p" (&per_cpu__##var))

继续跟进percpu_from_op()这个函数

/*
percpu_from_op宏中根据不同的sizeof(var)选择不同的分支,执行不同的流程,因为这里是x86体系,所以sizeof(current_task)的值为4
在每个分支中使用了一条的內联汇编代码,其中__percpu_arg(1)为%%fs:%P1(X86)或者%%gs:%P1(X86_64),将上述代码整理后current获取代码如下:
1. x86: asm(movl "%%fs:%P1","%0" : "=r" (pfo_ret__) :"p" (&(var))
2. x86_64: asm(movl "%%gs:%P1","%0" : "=r" (pfo_ret__) :"p" (&(var))
*/
#define percpu_from_op(op, var, constraint) \
({ \
typeof(var) ret__; \
switch (sizeof(var)) { \
case : \
asm(op "b "__percpu_arg()",%0" \
: "=q" (ret__) \
: constraint); \
break; \
case : \
asm(op "w "__percpu_arg()",%0" \
: "=r" (ret__) \
: constraint); \
break; \
case : \
asm(op "l "__percpu_arg()",%0" \
: "=r" (ret__) \
: constraint); \
break; \
case : \
asm(op "q "__percpu_arg()",%0" \
: "=r" (ret__) \
: constraint); \
break; \
default: __bad_percpu_size(); \
} \
ret__; \
})

将fs(或者gs)段中P1偏移处的值传送给pfo_ret__变量

继续跟进per_cpu__kernel_stack的定义

linux-2.6.32.63\arch\x86\kernel\cpu\common.c

/*
The following four percpu variables are hot. Align current_task to
cacheline size such that all four fall in the same cacheline.
*/
DEFINE_PER_CPU(struct task_struct *, current_task) ____cacheline_aligned = &init_task;
EXPORT_PER_CPU_SYMBOL(current_task); DEFINE_PER_CPU(unsigned long, kernel_stack) = (unsigned long)&init_thread_union - KERNEL_STACK_OFFSET + THREAD_SIZE;
EXPORT_PER_CPU_SYMBOL(kernel_stack); DEFINE_PER_CPU(char *, irq_stack_ptr) = init_per_cpu_var(irq_stack_union.irq_stack) + IRQ_STACK_SIZE - ; DEFINE_PER_CPU(unsigned int, irq_count) = -;

继续进程内核栈初始化的关键代码: DEFINE_PER_CPU(unsigned long, kernel_stack) = (unsigned long)&init_thread_union - KERNEL_STACK_OFFSET + THREAD_SIZE;

//linux-2.6.32.63\arch\x86\kernel\init_task.c
/*
* Initial task structure.
*
* All other task structs will be allocated on slabs in fork.c
*/
struct task_struct init_task = INIT_TASK(init_task);
EXPORT_SYMBOL(init_task); /*
* Initial thread structure.
*
* We need to make sure that this is THREAD_SIZE aligned due to the
* way process stacks are handled. This is done by having a special
* "init_task" linker map entry..
*/
union thread_union init_thread_union __init_task_data =
{
INIT_THREAD_INFO(init_task)
};

\linux-2.6.32.63\include\linux\init_task.h

/*
* INIT_TASK is used to set up the first task table, touch at
* your own risk!. Base=0, limit=0x1fffff (=2MB)
*/
#define INIT_TASK(tsk) \
{ \
.state = , \
.stack = &init_thread_info, \
.usage = ATOMIC_INIT(), \
.flags = PF_KTHREAD, \
.lock_depth = -, \
.prio = MAX_PRIO-, \
.static_prio = MAX_PRIO-, \
.normal_prio = MAX_PRIO-, \
.policy = SCHED_NORMAL, \
.cpus_allowed = CPU_MASK_ALL, \
.mm = NULL, \
.active_mm = &init_mm, \
.se = { \
.group_node = LIST_HEAD_INIT(tsk.se.group_node), \
}, \
.rt = { \
.run_list = LIST_HEAD_INIT(tsk.rt.run_list), \
.time_slice = HZ, \
.nr_cpus_allowed = NR_CPUS, \
}, \
.tasks = LIST_HEAD_INIT(tsk.tasks), \
.pushable_tasks = PLIST_NODE_INIT(tsk.pushable_tasks, MAX_PRIO), \
.ptraced = LIST_HEAD_INIT(tsk.ptraced), \
.ptrace_entry = LIST_HEAD_INIT(tsk.ptrace_entry), \
.real_parent = &tsk, \
.parent = &tsk, \
.children = LIST_HEAD_INIT(tsk.children), \
.sibling = LIST_HEAD_INIT(tsk.sibling), \
.group_leader = &tsk, \
.real_cred = &init_cred, \
.cred = &init_cred, \
.cred_guard_mutex = \
__MUTEX_INITIALIZER(tsk.cred_guard_mutex), \
.comm = "swapper", \
.thread = INIT_THREAD, \
.fs = &init_fs, \
.files = &init_files, \
.signal = &init_signals, \
.sighand = &init_sighand, \
.nsproxy = &init_nsproxy, \
.pending = { \
.list = LIST_HEAD_INIT(tsk.pending.list), \
.signal = {{}}}, \
.blocked = {{}}, \
.alloc_lock = __SPIN_LOCK_UNLOCKED(tsk.alloc_lock), \
.journal_info = NULL, \
.cpu_timers = INIT_CPU_TIMERS(tsk.cpu_timers), \
.fs_excl = ATOMIC_INIT(), \
.pi_lock = __SPIN_LOCK_UNLOCKED(tsk.pi_lock), \
.timer_slack_ns = , /* 50 usec default slack */ \
.pids = { \
[PIDTYPE_PID] = INIT_PID_LINK(PIDTYPE_PID), \
[PIDTYPE_PGID] = INIT_PID_LINK(PIDTYPE_PGID), \
[PIDTYPE_SID] = INIT_PID_LINK(PIDTYPE_SID), \
}, \
.dirties = INIT_PROP_LOCAL_SINGLE(dirties), \
INIT_IDS \
INIT_PERF_EVENTS(tsk) \
INIT_TRACE_IRQFLAGS \
INIT_LOCKDEP \
INIT_FTRACE_GRAPH \
INIT_TRACE_RECURSION \
INIT_TASK_RCU_PREEMPT(tsk) \
}

我们继续跟进和进程信息密切相关的数据结构

\linux-2.6.32.63\include\linux\sched.h

/*
THREAD_SIZE在32位平台上一般定义为4K,所以stack的大小其实就是4KB,这就是初始任务在核心里所拥有的所有空间,除去thread_info和KERNEL_STACK_OFFSET占用的空间后,就是任务在核心里实际拥有堆栈的大小。
KERNEL_STACK_OFFSET定义为5*8,由于是unsigned long,所以堆栈底部以上还有5*8*4B=200B的空间用来存放程序运行时相关的环境参数
*/
union thread_union
{
struct thread_info thread_info;
unsigned long stack[THREAD_SIZE/sizeof(long)];
};

学习到这里,我们需要总结一下

. 在linux中,整个内核栈是所有进程公用的,每个进程会像切蛋糕一样从中切去一份指定大小的内存区域
. 每个进程都在当前内核栈中分配一段内存区域: thread_union,这段内核栈内存被分为两个部分:
) 低地址部分保存的: thread_info
) 剩余的高地址部分保存的: 当前进程的内核栈内核栈stack
. struct thread_info thread_info;当中就保存着当前进程的信息,所以我们可以从本质上理解,current宏其实并不神秘,它就是在做一个内存栈上的取地址操作

Relevant Link:

http://www.pagefault.info/?p=36
http://www.cnblogs.com/justinzhang/archive/2011/07/18/2109923.html

仅仅只需检查内核栈指针的值,而根本无需存取内存,内核就可以导出task_struct结构的地址,可以把它看作全局变量来用

0x1: struct task_struct

struct task_struct
{
/*
1. state: 进程执行时,它会根据具体情况改变状态。进程状态是进程调度和对换的依据。Linux中的进程主要有如下状态:
1) TASK_RUNNING: 可运行
处于这种状态的进程,只有两种状态:
1.1) 正在运行
正在运行的进程就是当前进程(由current所指向的进程)
1.2) 正准备运行
准备运行的进程只要得到CPU就可以立即投入运行,CPU是这些进程唯一等待的系统资源,系统中有一个运行队列(run_queue),用来容纳所有处于可运行状态的进程,调度程序执行时,从中选择一个进程投入运行 2) TASK_INTERRUPTIBLE: 可中断的等待状态,是针对等待某事件或其他资源的睡眠进程设置的,在内核发送信号给该进程表明事件已经发生时,进程状态变为TASK_RUNNING,它只要调度器选中该进程即可恢复执行 3) TASK_UNINTERRUPTIBLE: 不可中断的等待状态
处于该状态的进程正在等待某个事件(event)或某个资源,它肯定位于系统中的某个等待队列(wait_queue)中,处于不可中断等待态的进程是因为硬件环境不能满足而等待,例如等待特定的系统资源,它任何情况下都不能被打断,只能用特定的方式来唤醒它,例如唤醒函数wake_up()等
     它们不能由外部信号唤醒,只能由内核亲自唤醒
4) TASK_ZOMBIE: 僵死
进程虽然已经终止,但由于某种原因,父进程还没有执行wait()系统调用,终止进程的信息也还没有回收。顾名思义,处于该状态的进程就是死进程,这种进程实际上是系统中的垃圾,必须进行相应处理以释放其占用的资源。 5) TASK_STOPPED: 暂停
此时的进程暂时停止运行来接受某种特殊处理。通常当进程接收到SIGSTOP、SIGTSTP、SIGTTIN或 SIGTTOU信号后就处于这种状态。例如,正接受调试的进程就处于这种状态
    
     6) TASK_TRACED
     从本质上来说,这属于TASK_STOPPED状态,用于从停止的进程中,将当前被调试的进程与常规的进程区分开来
      
     7) TASK_DEAD
     父进程wait系统调用发出后,当子进程退出时,父进程负责回收子进程的全部资源,子进程进入TASK_DEAD状态
8) TASK_SWAPPING: 换入/换出
*/
volatile long state; /*
2. stack
进程内核栈,进程通过alloc_thread_info函数分配它的内核栈,通过free_thread_info函数释放所分配的内核栈
*/
void *stack; /*
3. usage
进程描述符使用计数,被置为2时,表示进程描述符正在被使用而且其相应的进程处于活动状态
*/
atomic_t usage; /*
4. flags
flags是进程当前的状态标志(注意和运行状态区分)
1) #define PF_ALIGNWARN 0x00000001: 显示内存地址未对齐警告
2) #define PF_PTRACED 0x00000010: 标识是否是否调用了ptrace
3) #define PF_TRACESYS 0x00000020: 跟踪系统调用
4) #define PF_FORKNOEXEC 0x00000040: 已经完成fork,但还没有调用exec
5) #define PF_SUPERPRIV 0x00000100: 使用超级用户(root)权限
6) #define PF_DUMPCORE 0x00000200: dumped core
7) #define PF_SIGNALED 0x00000400: 此进程由于其他进程发送相关信号而被杀死
8) #define PF_STARTING 0x00000002: 当前进程正在被创建
9) #define PF_EXITING 0x00000004: 当前进程正在关闭
10) #define PF_USEDFPU 0x00100000: Process used the FPU this quantum(SMP only)
#define PF_DTRACE 0x00200000: delayed trace (used on m68k)
*/
unsigned int flags; /*
5. ptrace
ptrace系统调用,成员ptrace被设置为0时表示不需要被跟踪,它的可能取值如下:
linux-2.6.38.8/include/linux/ptrace.h
1) #define PT_PTRACED 0x00000001
2) #define PT_DTRACE 0x00000002: delayed trace (used on m68k, i386)
3) #define PT_TRACESYSGOOD 0x00000004
4) #define PT_PTRACE_CAP 0x00000008: ptracer can follow suid-exec
5) #define PT_TRACE_FORK 0x00000010
6) #define PT_TRACE_VFORK 0x00000020
7) #define PT_TRACE_CLONE 0x00000040
8) #define PT_TRACE_EXEC 0x00000080
9) #define PT_TRACE_VFORK_DONE 0x00000100
10) #define PT_TRACE_EXIT 0x00000200
*/
unsigned int ptrace;
unsigned long ptrace_message;
siginfo_t *last_siginfo; /*
6. lock_depth
用于表示获取大内核锁的次数,如果进程未获得过锁,则置为-1
*/
int lock_depth; /*
7. oncpu
在SMP上帮助实现无加锁的进程切换(unlocked context switches)
*/
#ifdef CONFIG_SMP
#ifdef __ARCH_WANT_UNLOCKED_CTXSW
int oncpu;
#endif
#endif /*
8. 进程调度
1) prio: 调度器考虑的优先级保存在prio,由于在某些情况下内核需要暂时提高进程的优先级,因此需要第三个成员来表示(除了static_prio、normal_prio之外),由于这些改变不是持久的,因此静态(static_prio)和普通(normal_prio)优先级不受影响
2) static_prio: 用于保存进程的"静态优先级",静态优先级是进程"启动"时分配的优先级,它可以用nice、sched_setscheduler系统调用修改,否则在进程运行期间会一直保持恒定
3) normal_prio: 表示基于进程的"静态优先级"和"调度策略"计算出的优先级,因此,即使普通进程和实时进程具有相同的静态优先级(static_prio),其普通优先级(normal_prio)也是不同的。进程分支时(fork),新创建的子进程会集成普通优先级
*/
int prio, static_prio, normal_prio;
/*
4) rt_priority: 表示实时进程的优先级,需要明白的是,"实时进程优先级"和"普通进程优先级"有两个独立的范畴,实时进程即使是最低优先级也高于普通进程,最低的实时优先级为0,最高的优先级为99,值越大,表明优先级越高
*/
unsigned int rt_priority;
/*
5) sched_class: 该进程所属的调度类,目前内核中有实现以下四种:
5.1) static const struct sched_class fair_sched_class;
5.2) static const struct sched_class rt_sched_class;
5.3) static const struct sched_class idle_sched_class;
5.4) static const struct sched_class stop_sched_class;
*/
const struct sched_class *sched_class;
/*
6) se: 用于普通进程的调用实体
  调度器不限于调度进程,还可以处理更大的实体,这可以实现"组调度",可用的CPU时间可以首先在一般的进程组(例如所有进程可以按所有者分组)之间分配,接下来分配的时间在组内再次分配
  这种一般性要求调度器不直接操作进程,而是处理"可调度实体",一个实体有sched_entity的一个实例标识
  在最简单的情况下,调度在各个进程上执行,由于调度器设计为处理可调度的实体,在调度器看来各个进程也必须也像这样的实体,因此se在task_struct中内嵌了一个sched_entity实例,调度器可据此操作各个task_struct
*/
struct sched_entity se;
/*
7) rt: 用于实时进程的调用实体
*/
struct sched_rt_entity rt; #ifdef CONFIG_PREEMPT_NOTIFIERS
/*
9. preempt_notifier
preempt_notifiers结构体链表
*/
struct hlist_head preempt_notifiers;
#endif /*
10. fpu_counter
FPU使用计数
*/
unsigned char fpu_counter; #ifdef CONFIG_BLK_DEV_IO_TRACE
/*
11. btrace_seq
blktrace是一个针对Linux内核中块设备I/O层的跟踪工具
*/
unsigned int btrace_seq;
#endif /*
12. policy
policy表示进程的调度策略,目前主要有以下五种:
1) #define SCHED_NORMAL 0: 用于普通进程,它们通过完全公平调度器来处理
2) #define SCHED_FIFO 1: 先来先服务调度,由实时调度类处理
3) #define SCHED_RR 2: 时间片轮转调度,由实时调度类处理
4) #define SCHED_BATCH 3: 用于非交互、CPU使用密集的批处理进程,通过完全公平调度器来处理,调度决策对此类进程给与"冷处理",它们绝不会抢占CFS调度器处理的另一个进程,因此不会干扰交互式进程,如果不打算用nice降低进程的静态优先级,同时又不希望该进程影响系统的交互性,最适合用该调度策略
5) #define SCHED_IDLE 5: 可用于次要的进程,其相对权重总是最小的,也通过完全公平调度器来处理。要注意的是,SCHED_IDLE不负责调度空闲进程,空闲进程由内核提供单独的机制来处理
只有root用户能通过sched_setscheduler()系统调用来改变调度策略
*/
unsigned int policy; /*
13. cpus_allowed
cpus_allowed是一个位域,在多处理器系统上使用,用于控制进程可以在哪里处理器上运行
*/
cpumask_t cpus_allowed; /*
14. RCU同步原语
*/
#ifdef CONFIG_TREE_PREEMPT_RCU
int rcu_read_lock_nesting;
char rcu_read_unlock_special;
struct rcu_node *rcu_blocked_node;
struct list_head rcu_node_entry;
#endif /* #ifdef CONFIG_TREE_PREEMPT_RCU */ #if defined(CONFIG_SCHEDSTATS) || defined(CONFIG_TASK_DELAY_ACCT)
/*
15. sched_info
用于调度器统计进程的运行信息
*/
struct sched_info sched_info;
#endif /*
16. tasks
通过list_head将当前进程的task_struct串联进内核的进程列表中,构建;linux进程链表
*/
struct list_head tasks; /*
17. pushable_tasks
limit pushing to one attempt
*/
struct plist_node pushable_tasks; /*
18. 进程地址空间
1) mm: 指向进程所拥有的内存描述符
2) active_mm: active_mm指向进程运行时所使用的内存描述符
对于普通进程而言,这两个指针变量的值相同。但是,内核线程不拥有任何内存描述符,所以它们的mm成员总是为NULL。当内核线程得以运行时,它的active_mm成员被初始化为前一个运行进程的active_mm值
*/
struct mm_struct *mm, *active_mm; /*
19. exit_state
进程退出状态码
*/
int exit_state; /*
20. 判断标志
1) exit_code
exit_code用于设置进程的终止代号,这个值要么是_exit()或exit_group()系统调用参数(正常终止),要么是由内核提供的一个错误代号(异常终止)
2) exit_signal
exit_signal被置为-1时表示是某个线程组中的一员。只有当线程组的最后一个成员终止时,才会产生一个信号,以通知线程组的领头进程的父进程
*/
int exit_code, exit_signal;
/*
3) pdeath_signal
pdeath_signal用于判断父进程终止时发送信号
*/
int pdeath_signal;
/*
4) personality用于处理不同的ABI,它的可能取值如下:
enum
{
PER_LINUX = 0x0000,
PER_LINUX_32BIT = 0x0000 | ADDR_LIMIT_32BIT,
PER_LINUX_FDPIC = 0x0000 | FDPIC_FUNCPTRS,
PER_SVR4 = 0x0001 | STICKY_TIMEOUTS | MMAP_PAGE_ZERO,
PER_SVR3 = 0x0002 | STICKY_TIMEOUTS | SHORT_INODE,
PER_SCOSVR3 = 0x0003 | STICKY_TIMEOUTS |
WHOLE_SECONDS | SHORT_INODE,
PER_OSR5 = 0x0003 | STICKY_TIMEOUTS | WHOLE_SECONDS,
PER_WYSEV386 = 0x0004 | STICKY_TIMEOUTS | SHORT_INODE,
PER_ISCR4 = 0x0005 | STICKY_TIMEOUTS,
PER_BSD = 0x0006,
PER_SUNOS = 0x0006 | STICKY_TIMEOUTS,
PER_XENIX = 0x0007 | STICKY_TIMEOUTS | SHORT_INODE,
PER_LINUX32 = 0x0008,
PER_LINUX32_3GB = 0x0008 | ADDR_LIMIT_3GB,
PER_IRIX32 = 0x0009 | STICKY_TIMEOUTS,
PER_IRIXN32 = 0x000a | STICKY_TIMEOUTS,
PER_IRIX64 = 0x000b | STICKY_TIMEOUTS,
PER_RISCOS = 0x000c,
PER_SOLARIS = 0x000d | STICKY_TIMEOUTS,
PER_UW7 = 0x000e | STICKY_TIMEOUTS | MMAP_PAGE_ZERO,
PER_OSF4 = 0x000f,
PER_HPUX = 0x0010,
PER_MASK = 0x00ff,
};
*/
unsigned int personality;
/*
5) did_exec
did_exec用于记录进程代码是否被execve()函数所执行
*/
unsigned did_exec:;
/*
6) in_execve
in_execve用于通知LSM是否被do_execve()函数所调用
*/
unsigned in_execve:;
/*
7) in_iowait
in_iowait用于判断是否进行iowait计数
*/
unsigned in_iowait:; /*
8) sched_reset_on_fork
sched_reset_on_fork用于判断是否恢复默认的优先级或调度策略
*/
unsigned sched_reset_on_fork:; /*
21. 进程标识符(PID)
在CONFIG_BASE_SMALL配置为0的情况下,PID的取值范围是0到32767,即系统中的进程数最大为32768个
#define PID_MAX_DEFAULT (CONFIG_BASE_SMALL ? 0x1000 : 0x8000)
在Linux系统中,一个线程组中的所有线程使用和该线程组的领头线程(该组中的第一个轻量级进程)相同的PID,并被存放在tgid成员中。只有线程组的领头线程的pid成员才会被设置为与tgid相同的值。注意,getpid()系统调用
返回的是当前进程的tgid值而不是pid值。
*/
pid_t pid;
pid_t tgid; #ifdef CONFIG_CC_STACKPROTECTOR
/*
22. stack_canary
防止内核堆栈溢出,在GCC编译内核时,需要加上-fstack-protector选项
*/
unsigned long stack_canary;
#endif /*
23. 表示进程亲属关系的成员
1) real_parent: 指向其父进程,如果创建它的父进程不再存在,则指向PID为1的init进程
2) parent: 指向其父进程,当它终止时,必须向它的父进程发送信号。它的值通常与real_parent相同
*/
struct task_struct *real_parent;
struct task_struct *parent;
/*
3) children: 表示链表的头部,链表中的所有元素都是它的子进程(子进程链表)
4) sibling: 用于把当前进程插入到兄弟链表中(连接到父进程的子进程链表(兄弟链表))
5) group_leader: 指向其所在进程组的领头进程
*/
struct list_head children;
struct list_head sibling;
struct task_struct *group_leader; struct list_head ptraced;
struct list_head ptrace_entry;
struct bts_context *bts; /*
24. pids
PID散列表和链表
*/
struct pid_link pids[PIDTYPE_MAX];
/*
25. thread_group
线程组中所有进程的链表
*/
struct list_head thread_group; /*
26. do_fork函数
1) vfork_done
在执行do_fork()时,如果给定特别标志,则vfork_done会指向一个特殊地址
2) set_child_tid、clear_child_tid
如果copy_process函数的clone_flags参数的值被置为CLONE_CHILD_SETTID或CLONE_CHILD_CLEARTID,则会把child_tidptr参数的值分别复制到set_child_tid和clear_child_tid成员。这些标志说明必须改变子
进程用户态地址空间的child_tidptr所指向的变量的值。
*/
struct completion *vfork_done;
int __user *set_child_tid;
int __user *clear_child_tid; /*
27. 记录进程的I/O计数(时间)
1) utime
用于记录进程在"用户态"下所经过的节拍数(定时器)
2) stime
用于记录进程在"内核态"下所经过的节拍数(定时器)
3) utimescaled
用于记录进程在"用户态"的运行时间,但它们以处理器的频率为刻度
4) stimescaled
用于记录进程在"内核态"的运行时间,但它们以处理器的频率为刻度
*/
cputime_t utime, stime, utimescaled, stimescaled;
/*
5) gtime
以节拍计数的虚拟机运行时间(guest time)
*/
cputime_t gtime;
/*
6) prev_utime、prev_stime是先前的运行时间
*/
cputime_t prev_utime, prev_stime;
/*
7) nvcsw
自愿(voluntary)上下文切换计数
8) nivcsw
非自愿(involuntary)上下文切换计数
*/
unsigned long nvcsw, nivcsw;
/*
9) start_time
进程创建时间
10) real_start_time
进程睡眠时间,还包含了进程睡眠时间,常用于/proc/pid/stat,
*/
struct timespec start_time;
struct timespec real_start_time;
/*
11) cputime_expires
用来统计进程或进程组被跟踪的处理器时间,其中的三个成员对应着cpu_timers[3]的三个链表
*/
struct task_cputime cputime_expires;
struct list_head cpu_timers[];
#ifdef CONFIG_DETECT_HUNG_TASK
/*
12) last_switch_count
nvcsw和nivcsw的总和
*/
unsigned long last_switch_count;
#endif
struct task_io_accounting ioac;
#if defined(CONFIG_TASK_XACCT)
u64 acct_rss_mem1;
u64 acct_vm_mem1;
cputime_t acct_timexpd;
#endif /*
28. 缺页统计
*/
unsigned long min_flt, maj_flt; /*
29. 进程权能
*/
const struct cred *real_cred;
const struct cred *cred;
struct mutex cred_guard_mutex;
struct cred *replacement_session_keyring; /*
30. comm[TASK_COMM_LEN]
相应的程序名
*/
char comm[TASK_COMM_LEN]; /*
31. 文件
1) fs
用来表示进程与文件系统的联系,包括当前目录和根目录
2) files
表示进程当前打开的文件
*/
int link_count, total_link_count;
struct fs_struct *fs;
struct files_struct *files; #ifdef CONFIG_SYSVIPC
/*
32. sysvsem
进程通信(SYSVIPC)
*/
struct sysv_sem sysvsem;
#endif /*
33. 处理器特有数据
*/
struct thread_struct thread; /*
34. nsproxy
命名空间
*/
struct nsproxy *nsproxy; /*
35. 信号处理
1) signal: 指向进程的信号描述符
2) sighand: 指向进程的信号处理程序描述符
*/
struct signal_struct *signal;
struct sighand_struct *sighand;
/*
3) blocked: 表示被阻塞信号的掩码
4) real_blocked: 表示临时掩码
*/
sigset_t blocked, real_blocked;
sigset_t saved_sigmask;
/*
5) pending: 存放私有挂起信号的数据结构
*/
struct sigpending pending;
/*
6) sas_ss_sp: 信号处理程序备用堆栈的地址
7) sas_ss_size: 表示堆栈的大小
*/
unsigned long sas_ss_sp;
size_t sas_ss_size;
/*
8) notifier
设备驱动程序常用notifier指向的函数来阻塞进程的某些信号
9) otifier_data
指的是notifier所指向的函数可能使用的数据。
10) otifier_mask
标识这些信号的位掩码
*/
int (*notifier)(void *priv);
void *notifier_data;
sigset_t *notifier_mask; /*
36. 进程审计
*/
struct audit_context *audit_context;
#ifdef CONFIG_AUDITSYSCALL
uid_t loginuid;
unsigned int sessionid;
#endif /*
37. secure computing
*/
seccomp_t seccomp; /*
38. 用于copy_process函数使用CLONE_PARENT标记时
*/
u32 parent_exec_id;
u32 self_exec_id; /*
39. alloc_lock
用于保护资源分配或释放的自旋锁
*/
spinlock_t alloc_lock; /*
40. 中断
*/
#ifdef CONFIG_GENERIC_HARDIRQS
struct irqaction *irqaction;
#endif
#ifdef CONFIG_TRACE_IRQFLAGS
unsigned int irq_events;
int hardirqs_enabled;
unsigned long hardirq_enable_ip;
unsigned int hardirq_enable_event;
unsigned long hardirq_disable_ip;
unsigned int hardirq_disable_event;
int softirqs_enabled;
unsigned long softirq_disable_ip;
unsigned int softirq_disable_event;
unsigned long softirq_enable_ip;
unsigned int softirq_enable_event;
int hardirq_context;
int softirq_context;
#endif /*
41. pi_lock
task_rq_lock函数所使用的锁
*/
spinlock_t pi_lock; #ifdef CONFIG_RT_MUTEXES
/*
42. 基于PI协议的等待互斥锁,其中PI指的是priority inheritance/9优先级继承)
*/
struct plist_head pi_waiters;
struct rt_mutex_waiter *pi_blocked_on;
#endif #ifdef CONFIG_DEBUG_MUTEXES
/*
43. blocked_on
死锁检测
*/
struct mutex_waiter *blocked_on;
#endif /*
44. lockdep,
*/
#ifdef CONFIG_LOCKDEP
# define MAX_LOCK_DEPTH 48UL
u64 curr_chain_key;
int lockdep_depth;
unsigned int lockdep_recursion;
struct held_lock held_locks[MAX_LOCK_DEPTH];
gfp_t lockdep_reclaim_gfp;
#endif /*
45. journal_info
JFS文件系统
*/
void *journal_info; /*
46. 块设备链表
*/
struct bio *bio_list, **bio_tail; /*
47. reclaim_state
内存回收
*/
struct reclaim_state *reclaim_state; /*
48. backing_dev_info
存放块设备I/O数据流量信息
*/
struct backing_dev_info *backing_dev_info; /*
49. io_context
I/O调度器所使用的信息
*/
struct io_context *io_context; /*
50. CPUSET功能
*/
#ifdef CONFIG_CPUSETS
nodemask_t mems_allowed;
int cpuset_mem_spread_rotor;
#endif /*
51. Control Groups
*/
#ifdef CONFIG_CGROUPS
struct css_set *cgroups;
struct list_head cg_list;
#endif /*
52. robust_list
futex同步机制
*/
#ifdef CONFIG_FUTEX
struct robust_list_head __user *robust_list;
#ifdef CONFIG_COMPAT
struct compat_robust_list_head __user *compat_robust_list;
#endif
struct list_head pi_state_list;
struct futex_pi_state *pi_state_cache;
#endif
#ifdef CONFIG_PERF_EVENTS
struct perf_event_context *perf_event_ctxp;
struct mutex perf_event_mutex;
struct list_head perf_event_list;
#endif /*
53. 非一致内存访问(NUMA Non-Uniform Memory Access)
*/
#ifdef CONFIG_NUMA
struct mempolicy *mempolicy; /* Protected by alloc_lock */
short il_next;
#endif /*
54. fs_excl
文件系统互斥资源
*/
atomic_t fs_excl; /*
55. rcu
RCU链表
*/
struct rcu_head rcu; /*
56. splice_pipe
管道
*/
struct pipe_inode_info *splice_pipe; /*
57. delays
延迟计数
*/
#ifdef CONFIG_TASK_DELAY_ACCT
struct task_delay_info *delays;
#endif /*
58. make_it_fail
fault injection
*/
#ifdef CONFIG_FAULT_INJECTION
int make_it_fail;
#endif /*
59. dirties
FLoating proportions
*/
struct prop_local_single dirties; /*
60. Infrastructure for displayinglatency
*/
#ifdef CONFIG_LATENCYTOP
int latency_record_count;
struct latency_record latency_record[LT_SAVECOUNT];
#endif /*
61. time slack values,常用于poll和select函数
*/
unsigned long timer_slack_ns;
unsigned long default_timer_slack_ns; /*
62. scm_work_list
socket控制消息(control message)
*/
struct list_head *scm_work_list; /*
63. ftrace跟踪器
*/
#ifdef CONFIG_FUNCTION_GRAPH_TRACER
int curr_ret_stack;
struct ftrace_ret_stack *ret_stack;
unsigned long long ftrace_timestamp;
atomic_t trace_overrun;
atomic_t tracing_graph_pause;
#endif
#ifdef CONFIG_TRACING
unsigned long trace;
unsigned long trace_recursion;
#endif
};
Relevant Link:
http://oss.org.cn/kernel-book/ch04/4.3.htm
http://www.eecs.harvard.edu/~margo/cs161/videos/sched.h.html
http://memorymyann.iteye.com/blog/235363
http://blog.csdn.net/hongchangfirst/article/details/7075026
http://oss.org.cn/kernel-book/ch04/4.4.2.htm
http://blog.csdn.net/npy_lp/article/details/7335187
http://blog.csdn.net/npy_lp/article/details/7292563

0x2: struct cred

\linux-2.6.32.63\include\linux\cred.h

//保存了当前进程的相关权限信息
struct cred
{
atomic_t usage;
#ifdef CONFIG_DEBUG_CREDENTIALS
atomic_t subscribers; /* number of processes subscribed */
void *put_addr;
unsigned magic;
#define CRED_MAGIC 0x43736564
#define CRED_MAGIC_DEAD 0x44656144
#endif
uid_t uid; /* real UID of the task */
gid_t gid; /* real GID of the task */
uid_t suid; /* saved UID of the task */
gid_t sgid; /* saved GID of the task */
uid_t euid; /* effective UID of the task */
gid_t egid; /* effective GID of the task */
uid_t fsuid; /* UID for VFS ops */
gid_t fsgid; /* GID for VFS ops */
unsigned securebits; /* SUID-less security management */
kernel_cap_t cap_inheritable; /* caps our children can inherit */
kernel_cap_t cap_permitted; /* caps we're permitted */
kernel_cap_t cap_effective; /* caps we can actually use */
kernel_cap_t cap_bset; /* capability bounding set */
#ifdef CONFIG_KEYS
unsigned char jit_keyring; /* default keyring to attach requested
* keys to */
struct key *thread_keyring; /* keyring private to this thread */
struct key *request_key_auth; /* assumed request_key authority */
struct thread_group_cred *tgcred; /* thread-group shared credentials */
#endif
#ifdef CONFIG_SECURITY
void *security; /* subjective LSM security */
#endif
struct user_struct *user; /* real user ID subscription */
struct group_info *group_info; /* supplementary groups for euid/fsgid */
struct rcu_head rcu; /* RCU deletion hook */
};

0x3: struct pid_link

/* PID/PID hash table linkage. */
struct pid_link pids[PIDTYPE_MAX];

/include/linux/pid.h

enum pid_type
{
PIDTYPE_PID,
PIDTYPE_PGID,
PIDTYPE_SID,
PIDTYPE_MAX
};

struct definition

struct pid_link
{
struct hlist_node node;
struct pid *pid;
};

/include/linux/types.h

struct hlist_node
{
struct hlist_node *next, **pprev;
};

0x4: struct pid

struct pid
{
//1. 指向该数据结构的引用次数
atomic_t count; /*
2. 该pid在pid_namespace中处于第几层
1) 当level=0时
表示是global namespace,即最高层
*/
unsigned int level; /* lists of tasks that use this pid */
//3. tasks[i]指向的是一个哈希表。譬如说tasks[PIDTYPE_PID]指向的是PID的哈希表
struct hlist_head tasks[PIDTYPE_MAX]; //4.
struct rcu_head rcu; /*
5. numbers[1]域指向的是upid结构体
numbers数组的本意是想表示不同的pid_namespace,一个PID可以属于不同的namespace
1) umbers[0]表示global namespace
2) numbers[i]表示第i层namespace
3) i越大所在层级越低
目前该数组只有一个元素, 即global namespace。所以namepace的概念虽然引入了pid,但是并未真正使用,在未来的版本可能会用到
*/
struct upid numbers[];
};

Relevant Link:

http://blog.csdn.net/zhanglei4214/article/details/6765913

0x5: struct signal_struct

/*
NOTE! "signal_struct" does not have it's own locking, because a shared signal_struct always implies a shared sighand_struct, so locking sighand_struct is always a proper superset of the locking of signal_struct.
*/
struct signal_struct
{
atomic_t count;
atomic_t live; /* for wait4() */
wait_queue_head_t wait_chldexit; /* current thread group signal load-balancing target: */
struct task_struct *curr_target; /* shared signal handling: */
struct sigpending shared_pending; /* thread group exit support */
int group_exit_code; /*
overloaded:
notify group_exit_task when ->count is equal to notify_count,everyone except group_exit_task is stopped during signal delivery of fatal signals, group_exit_task processes the signal.
*/
int notify_count;
struct task_struct *group_exit_task; /* thread group stop support, overloads group_exit_code too */
int group_stop_count;
unsigned int flags; /* see SIGNAL_* flags below */ /* POSIX.1b Interval Timers */
struct list_head posix_timers; /* ITIMER_REAL timer for the process */
struct hrtimer real_timer;
struct pid *leader_pid;
ktime_t it_real_incr; /*
ITIMER_PROF and ITIMER_VIRTUAL timers for the process, we use CPUCLOCK_PROF and CPUCLOCK_VIRT for indexing array as these values are defined to 0 and 1 respectively
*/
struct cpu_itimer it[]; /*
Thread group totals for process CPU timers. See thread_group_cputimer(), et al, for details.
*/
struct thread_group_cputimer cputimer; /* Earliest-expiration cache. */
struct task_cputime cputime_expires; struct list_head cpu_timers[]; struct pid *tty_old_pgrp; /* boolean value for session group leader */
int leader; struct tty_struct *tty; /* NULL if no tty */ /*
Cumulative resource counters for dead threads in the group, and for reaped dead child processes forked by this group.
Live threads maintain their own counters and add to these in __exit_signal, except for the group leader.
*/
cputime_t utime, stime, cutime, cstime;
cputime_t gtime;
cputime_t cgtime;
#ifndef CONFIG_VIRT_CPU_ACCOUNTING
cputime_t prev_utime, prev_stime;
#endif
unsigned long nvcsw, nivcsw, cnvcsw, cnivcsw;
unsigned long min_flt, maj_flt, cmin_flt, cmaj_flt;
unsigned long inblock, oublock, cinblock, coublock;
unsigned long maxrss, cmaxrss;
struct task_io_accounting ioac; /*
Cumulative ns of schedule CPU time fo dead threads in the group, not including a zombie group leader, (This only differs from jiffies_to_ns(utime + stime) if sched_clock uses something other than jiffies.)
*/
unsigned long long sum_sched_runtime; /*
We don't bother to synchronize most readers of this at all, because there is no reader checking a limit that actually needs to get both rlim_cur and rlim_max atomically,
and either one alone is a single word that can safely be read normally.
getrlimit/setrlimit use task_lock(current->group_leader) to protect this instead of the siglock, because they really have no need to disable irqs.
struct rlimit
{
rlim_t rlim_cur; //Soft limit(软限制): 进程当前的资源限制
rlim_t rlim_max; //Hard limit(硬限制): 该限制的最大容许值(ceiling for rlim_cur)
};
rlim是一个数组,其中每一项保存了一种类型的资源限制,RLIM_NLIMITS表示资源限制类型的类型数量
要说明的是,hard limit只针对非特权进程,也就是进程的有效用户ID(effective user ID)不是0的进程
*/
struct rlimit rlim[RLIM_NLIMITS]; #ifdef CONFIG_BSD_PROCESS_ACCT
struct pacct_struct pacct; /* per-process accounting information */
#endif
#ifdef CONFIG_TASKSTATS
struct taskstats *stats;
#endif
#ifdef CONFIG_AUDIT
unsigned audit_tty;
struct tty_audit_buf *tty_audit_buf;
#endif int oom_adj; /* OOM kill score adjustment (bit shift) */
};

Relevant Link:

http://blog.csdn.net/walkingman321/article/details/6167435

0x6: struct rlimit

\linux-2.6.32.63\include\linux\resource.h

struct rlimit
{
//Soft limit(软限制): 进程当前的资源限制
unsigned long rlim_cur; //Hard limit(硬限制): 该限制的最大容许值(ceiling for rlim_cur)
unsigned long rlim_max;
};

Linux提供资源限制(resources limit rlimit)机制,对进程使用系统资源施加限制,该机制利用了task_struct中的rlim数组
rlim数组中的位置标识了受限制资源的类型,这也是内核需要定义预处理器常数,将资源与位置关联起来的原因,以下是所有的常数及其含义

. RLIMIT_CPU: CPU time in ms
CPU时间的最大量值(秒),当超过此软限制时向该进程发送SIGXCPU信号 . RLIMIT_FSIZE: Maximum file size
可以创建的文件的最大字节长度,当超过此软限制时向进程发送SIGXFSZ . RLIMIT_DATA: Maximum size of the data segment
数据段的最大字节长度 . RLIMIT_STACK: Maximum stack size
栈的最大长度 . RLIMIT_CORE: Maximum core file size
设定最大的core文件,当值为0时将禁止core文件非0时将设定产生的最大core文件大小为设定的值 . RLIMIT_RSS: Maximum resident set size
最大驻内存集字节长度(RSS)如果物理存储器供不应求则内核将从进程处取回超过RSS的部份 . RLIMIT_NPROC: Maximum number of processes
每个实际用户ID所拥有的最大子进程数,更改此限制将影响到sysconf函数在参数_SC_CHILD_MAX中返回的值 . RLIMIT_NOFILE: aximum number of open files
每个进程能够打开的最多文件数。更改此限制将影响到sysconf函数在参数_SC_CHILD_MAX中的返回值 . RLIMIT_MEMLOCK: Maximum locked-in-memory address space
The maximum number of bytes of virtual memory that may be locked into RAM using mlock() and mlockall().
不可换出页的最大数目 . RLIMIT_AS: Maximum address space size in bytes
The maximum size of the process virtual memory (address space) in bytes. This limit affects calls to brk(), mmap() and mremap(), which fail with the error ENOMEM upon exceeding this limit. Also automatic stack expansion will fail (and generate a SIGSEGV that kills the process when no alternate stack has been made available). Since the value is a long, on machines with a -bit long either this limit is at most GiB, or this resource is unlimited.
进程占用的虚拟地址空间的最大尺寸 . RLIMIT_LOCKS: Maximum file locks held
文件锁的最大数目 . RLIMIT_SIGPENDING: Maximum number of pending signals
待决信号的最大数目 . RLIMIT_MSGQUEUE: Maximum bytes in POSIX mqueues
消息队列的最大数目 . RLIMIT_NICE: Maximum nice prio allowed to raise to
非实时进程的优先级(nice level) . RLIMIT_RTPRIO: Maximum realtime priority
最大的实时优先级

因为涉及内核的各个不同部分,内核必须确认子系统遵守了相应限制。需要注意的是,如果某一类资源没有使用限制(这是几乎所有资源的默认设置),则将rlim_max设置为RLIM_INFINITY,例外情况包括下列

. 打开文件的数目(RLIMIT_NOFILE): 默认限制在1024
. 每用户的最大进程数(RLIMIT_NPROC): 定义为max_threads / ,max_threads是一个全局变量,指定了在把 / 可用内存用于管理线程信息的情况下,可以创建的进程数目。在计算时,提前给定了20个线程的最小可能内存用量

init进程在Linux中是一个特殊的进程,init的进程限制在系统启动时就生效了
\linux-2.6.32.63\include\asm-generic\resource.h

/*
* boot-time rlimit defaults for the init task:
*/
#define INIT_RLIMITS \
{ \
[RLIMIT_CPU] = { RLIM_INFINITY, RLIM_INFINITY }, \
[RLIMIT_FSIZE] = { RLIM_INFINITY, RLIM_INFINITY }, \
[RLIMIT_DATA] = { RLIM_INFINITY, RLIM_INFINITY }, \
[RLIMIT_STACK] = { _STK_LIM, _STK_LIM_MAX }, \
[RLIMIT_CORE] = { , RLIM_INFINITY }, \
[RLIMIT_RSS] = { RLIM_INFINITY, RLIM_INFINITY }, \
[RLIMIT_NPROC] = { , }, \
[RLIMIT_NOFILE] = { INR_OPEN, INR_OPEN }, \
[RLIMIT_MEMLOCK] = { MLOCK_LIMIT, MLOCK_LIMIT }, \
[RLIMIT_AS] = { RLIM_INFINITY, RLIM_INFINITY }, \
[RLIMIT_LOCKS] = { RLIM_INFINITY, RLIM_INFINITY }, \
[RLIMIT_SIGPENDING] = { , }, \
[RLIMIT_MSGQUEUE] = { MQ_BYTES_MAX, MQ_BYTES_MAX }, \
[RLIMIT_NICE] = { , }, \
[RLIMIT_RTPRIO] = { , }, \
[RLIMIT_RTTIME] = { RLIM_INFINITY, RLIM_INFINITY }, \
}

在proc文件系统中,对每个进程都包含了对应的一个文件,可以查看当前的rlimit值
cat /proc/self/limits

2. 内核中的队列/链表对象
在内核中存在4种不同类型的列表数据结构:
. singly-linked lists
. singly-linked tail queues
. doubly-linked lists
. doubly-linked tail queues
linux内核中的链表有如下特点
. 尽可能的代码重用,化大堆的链表设计为单个链表

. 在后面的学习中我们会发现,内核中大部分都是"双向循环链表",因为"双向循环链表"的效率是最高的,找头节点,尾节点,直接前驱,直接后继时间复杂度都是O() ,而使用单链表,单向循环链表或其他形式的链表是不能完成的。

. 如果需要构造某类对象的特定列表,则在其结构中定义一个类型为"list_head"指针的成员
linux-2.6.32.63\include\linux\list.h
struct list_head
{
struct list_head *next, *prev;
};
通过这个成员将这类对象连接起来,形成所需列表,并通过通用链表函数对其进行操作(list_head内嵌在原始结构中就像一个钩子,将原始对象串起来)
在这种架构设计下,内核开发人员只需编写通用链表函数,即可构造和操作不同对象的列表,而无需为每类对象的每种列表编写专用函数,实现了代码的重用。 . 如果想对某种类型创建链表,就把一个list_head类型的变量嵌入到该类型中,用list_head中的成员和相对应的处理函数来对链表进行遍历

linux内核数据结构学习总结

现在我们知道内核中链表的基本元素数据结构、也知道它们的设计原则以及组成原理,接下来的问题是在内核是怎么初始化并使用这些数据结构的呢?那些我们熟知的一个个链表都是怎么形成的呢?

linux内核为这些链表数据结构配套了相应的"操作宏"、以及内嵌函数

linux-2.6.32.63\include\linux\list.h
. 链表初始化
1.1 LIST_HEAD_INIT
#define LIST_HEAD_INIT(name) { &(name), &(name) }
LIST_HEAD_INIT这个宏的作用是初始化当前链表节点,即将头指针和尾指针都指向自己 1.2 LIST_HEAD
#define LIST_HEAD(name) struct list_head name = LIST_HEAD_INIT(name)
从代码可以看出,LIST_HEAD这个宏的作用是定义了一个双向链表的头,并调用LIST_HEAD_INIT进行"链表头初始化",将头指针和尾指针都指向自己,因此可以得知在Linux中用头指针的next是否指向自己来判断链表是否为空 1.3 INIT_LIST_HEAD(struct list_head *list)
除了LIST_HEAD宏在编译时静态初始化,还可以使用内嵌函数INIT_LIST_HEAD(struct list_head *list)在运行时进行初始化
static inline void INIT_LIST_HEAD(struct list_head *list)
{
list->next = list;
list->prev = list;
}
无论是采用哪种方式,新生成的链表头的指针next,prev都初始化为指向自己
. 判断一个链表是不是为空链表
2.1 list_empty(const struct list_head *head)
static inline int list_empty(const struct list_head *head)
{
return head->next == head;
} 2.2 list_empty_careful(const struct list_head *head)
和list_empty()的差别在于:
函数使用的检测方法是判断表头的前一个结点和后一个结点是否为其本身,如果同时满足则返回0,否则返回值为1。
这主要是为了应付另一个cpu正在处理同一个链表而造成next、prev不一致的情况。但代码注释也承认,这一安全保障能力有限:除非其他cpu的链表操作只有list_del_init(),否则仍然不能保证安全,也就是说,还是需要加
锁保护
static inline int list_empty_careful(const struct list_head *head)
{
struct list_head *next = head->next;
return (next == head) && (next == head->prev);
} . 链表的插入操作
3.1 list_add(struct list_head *new, struct list_head *head)
在head和head->next之间加入一个新的节点。即表头插入法(即先插入的后输出,可以用来实现一个栈)
static inline void list_add(struct list_head *new, struct list_head *head)
{
__list_add(new, head, head->next);
} 3.2 list_add_tail(struct list_head *new, struct list_head *head)
在head->prev(双向循环链表的最后一个结点)和head之间添加一个新的结点。即表尾插入法(先插入的先输出,可以用来实现一个队列)
static inline void list_add_tail(struct list_head *new, struct list_head *head)
{
__list_add(new, head->prev, head);
} #ifndef CONFIG_DEBUG_LIST
static inline void __list_add(struct list_head *new, struct list_head *prev, struct list_head *next)
{
next->prev = new;
new->next = next;
new->prev = prev;
prev->next = new;
}
#else
extern void __list_add(struct list_head *new, struct list_head *prev, struct list_head *next);
#endif . 链表的删除
4.1 list_del(struct list_head *entry)
#ifndef CONFIG_DEBUG_LIST
static inline void list_del(struct list_head *entry)
{
/*
__list_del(entry->prev, entry->next)表示将entry的前一个和后一个之间建立关联(即架空中间的元素)
*/
__list_del(entry->prev, entry->next);
/*
list_del()函数将删除后的prev、next指针分别被设为LIST_POSITION2和LIST_POSITION1两个特殊值,这样设置是为了保证不在链表中的节点项不可访问。对LIST_POSITION1和LIST_POSITION2的访问都将引起
"页故障"
*/
entry->next = LIST_POISON1;
entry->prev = LIST_POISON2;
}
#else
extern void list_del(struct list_head *entry);
#endif 4.2 list_del_init(struct list_head *entry)
/*
list_del_init这个函数首先将entry从双向链表中删除之后,并且将entry初始化为一个空链表。
要注意区分和理解的是:
list_del(entry)和list_del_init(entry)唯一不同的是对entry的处理,前者是将entry设置为不可用,后者是将其设置为一个空的链表的开始。
*/
static inline void list_del_init(struct list_head *entry)
{
__list_del(entry->prev, entry->next);
INIT_LIST_HEAD(entry);
} . 链表节点的替换
结点的替换是将old的结点替换成new
5.1 list_replace(struct list_head *old, struct list_head *new)
list_repleace()函数只是改变new和old的指针关系,然而old指针并没有释放
static inline void list_replace(struct list_head *old, struct list_head *new)
{
new->next = old->next;
new->next->prev = new;
new->prev = old->prev;
new->prev->next = new;
} 5.2 list_replace_init(struct list_head *old, struct list_head *new)
static inline void list_replace_init(struct list_head *old, struct list_head *new)
{
list_replace(old, new);
INIT_LIST_HEAD(old);
} . 分割链表
6.1 list_cut_position(struct list_head *list, struct list_head *head, struct list_head *entry)
函数将head(不包括head结点)到entry结点之间的所有结点截取下来添加到list链表中。该函数完成后就产生了两个链表head和list
static inline void list_cut_position(struct list_head *list, struct list_head *head, struct list_head *entry)
{
if (list_empty(head))
return;
if (list_is_singular(head) &&
(head->next != entry && head != entry))
return;
if (entry == head)
INIT_LIST_HEAD(list);
else
__list_cut_position(list, head, entry);
} static inline void __list_cut_position(struct list_head *list, struct list_head *head, struct list_head *entry)
{
struct list_head *new_first = entry->next;
list->next = head->next;
list->next->prev = list;
list->prev = entry;
entry->next = list;
head->next = new_first;
new_first->prev = head;
} . 内核链表的遍历操作(重点)
7.1 list_entry
Linux链表中仅保存了数据项结构中list_head成员变量的地址,可以通过list_entry宏通过list_head成员访问到作为它的所有者的的起始基地址(思考结构体的成员偏移量的概念,只有知道了结构体基地址才能通过offset得到
成员地址,之后才能继续遍历)
这里的ptr是一个链表的头结点,这个宏就是取的这个链表"头结点(注意不是第一个元素哦,是头结点,要得到第一个元素还得继续往下走一个)"所指结构体的首地址
#define list_entry(ptr, type, member) container_of(ptr, type, member) 7.2 list_first_entry
这里的ptr是一个链表的头结点,这个宏就是取的这个链表"第一元素"所指结构体的首地址
#define list_first_entry(ptr, type, member) list_entry((ptr)->next, type, member) 7.3 list_for_each(pos, head)
得到了链表的第一个元素的基地址之后,才可以开始元素的遍历
#define list_for_each(pos, head) \
/*
prefetch()的功能是预取内存的内容,也就是程序告诉CPU哪些内容可能马上用到,CPU预先其取出内存操作数,然后将其送入高速缓存,用于优化,是的执行速度更快
*/
for (pos = (head)->next; prefetch(pos->next), pos != (head); \
pos = pos->next) 7.4 __list_for_each(pos, head)
__list_for_each没有采用pretetch来进行预取
#define __list_for_each(pos, head) \
for (pos = (head)->next; pos != (head); pos = pos->next) 7.5 list_for_each_prev(pos, head)
实现方法与list_for_each相同,不同的是用head的前趋结点进行遍历。实现链表的逆向遍历
#define list_for_each_prev(pos, head) \
for (pos = (head)->prev; prefetch(pos->prev), pos != (head); \
pos = pos->prev) 7.6 list_for_each_entry(pos, head, member)
用链表外的结构体地址来进行遍历,而不用链表的地址进行遍历
#define list_for_each_entry(pos, head, member) \
for (pos = list_entry((head)->next, typeof(*pos), member); \
prefetch(pos->member.next), &pos->member != (head); \
pos = list_entry(pos->member.next, typeof(*pos), member))
下面我们来一起学习一下我们在研究linux内核的时候会遇到的队列/链表结构
0x1: 内核LKM模块的链表
我们知道,在命令行输入: lsmod可以得到当前系统加载的lKM内核模块,我们来学习一下这个功能通过内核代码要怎么实现
mod_ls.c:
#include <linux/module.h>
#include <linux/kernel.h>
#include <linux/init.h>
#include <linux/version.h>
#include <linux/list.h> MODULE_LICENSE("Dual BSD/GPL"); struct module *m = &__this_module; static void list_module_test(void)
{
struct module *mod;
list_for_each_entry(mod, m->list.prev, list)
printk ("%s\n", mod->name); }
static int list_module_init (void)
{
list_module_test();
return ;
} static void list_module_exit (void)
{
printk ("unload listmodule.ko\n");
} module_init(list_module_init);
module_exit(list_module_exit);

Makefile

#
# Variables needed to build the kernel module
#
name = mod_ls obj-m += $(name).o all: build .PHONY: build install clean build:
make -C /lib/modules/$(shell uname -r)/build M=$(PWD) modules CONFIG_DEBUG_SECTION_MISMATCH=y install: build
-mkdir -p /lib/modules/`uname -r`/kernel/arch/x86/kernel/
cp $(name).ko /lib/modules/`uname -r`/kernel/arch/x86/kernel/
depmod /lib/modules/`uname -r`/kernel/arch/x86/kernel/$(name).ko clean:
[ -d /lib/modules/$(shell uname -r)/build ] && \
make -C /lib/modules/$(shell uname -r)/build M=$(PWD) clean

编译并加载运行,使用dmesg tail命令可以看到我们的内核代码使用list_for_each_entry将当前系统内核中的"LKM内核模块双链表"给遍历出来了

0x2: 进程链表
trave_process.c
#include <linux/module.h>
#include <linux/init.h>
#include <linux/list.h>
#include <linux/sched.h>
#include <linux/time.h>
#include <linux/fs.h>
#include <asm/uaccess.h>
#include <linux/mm.h> MODULE_AUTHOR( "Along" ) ;
MODULE_LICENSE( "GPL" ) ; struct task_struct * task = NULL , * p = NULL ;
struct list_head * pos = NULL ;
struct timeval start, end;
int count = ; /*function_use表示使用哪一种方法测试,
* 0:三个方法同时使用,
* 1:list_for_each,
* 2:list_for_each_entry,
* 3:for_each_process
*/
int function_use = ;
char * method;
char * filename= "testlog" ; void print_message( void ) ;
void writefile( char * filename, char * data ) ;
void traversal_list_for_each( void ) ;
void traversal_list_for_each_entry( void ) ;
void traversal_for_each_process( void ) ; static int init_module_list( void )
{
switch ( function_use) {
case :
traversal_list_for_each( ) ;
break ;
case :
traversal_list_for_each_entry( ) ;
break ;
case :
traversal_for_each_process( ) ;
break ;
default :
traversal_list_for_each( ) ;
traversal_list_for_each_entry( ) ;
traversal_for_each_process( ) ;
break ;
}
return ;
}
static void exit_module_list( void )
{
printk( KERN_ALERT "GOOD BYE!!/n" ) ;
} module_init( init_module_list ) ;
module_exit( exit_module_list ) ;
module_param( function_use, int , S_IRUGO) ; void print_message( void )
{
char * str1 = "the method is: " ;
char * str2 = "系统当前共 " ;
char * str3 = " 个进程/n" ;
char * str4 = "开始时间: " ;
char * str5 = "/n结束时间: " ;
char * str6 = "/n时间间隔: " ;
char * str7 = "." ;
char * str8 = "ms" ;
char data[ ] ;
char tmp[ ] ;
int cost; printk( "系统当前共 %d 个进程!!/n" , count ) ;
printk( "the method is : %s/n" , method) ;
printk( "开始时间:%10i.%06i/n" , ( int ) start. tv_sec, ( int ) start. tv_usec) ;
printk( "结束时间:%10i.%06i/n" , ( int ) end. tv_sec, ( int ) end. tv_usec) ;
printk( "时间间隔:%10i/n" , ( int ) end. tv_usec- ( int ) start. tv_usec) ; memset ( data, , sizeof ( data) ) ;
memset ( tmp, , sizeof ( tmp) ) ; strcat ( data, str1) ;
strcat ( data, method) ;
strcat ( data, str2) ;
snprintf( tmp, sizeof ( count ) , "%d" , count ) ;
strcat ( data, tmp) ;
strcat ( data, str3) ;
strcat ( data, str4) ; memset ( tmp, , sizeof ( tmp) ) ;
/*
* 下面这种转换秒的方法是错误的,因为sizeof最终得到的长度实际是Int类型的
* 长度,而实际的妙数有10位数字,所以最终存到tmp中的字符串也就只有三位
* 数字
* snprintf(tmp, sizeof((int)start.tv_sec),"%d",(int)start.tv_usec );
*/ /*取得开始时间的秒数和毫秒数*/ snprintf( tmp, , "%d" , ( int ) start. tv_sec ) ;
strcat ( data, tmp) ;
snprintf( tmp, sizeof ( str7) , "%s" , str7 ) ;
strcat ( data, tmp) ;
snprintf( tmp, , "%d" , ( int ) start. tv_usec ) ;
strcat ( data, tmp) ; strcat ( data, str5) ; /*取得结束时间的秒数和毫秒数*/ snprintf( tmp, , "%d" , ( int ) end. tv_sec ) ;
strcat ( data, tmp) ;
snprintf( tmp, sizeof ( str7) , "%s" , str7 ) ;
strcat ( data, tmp) ;
snprintf( tmp, , "%d" , ( int ) end. tv_usec ) ;
strcat ( data, tmp) ; /*计算时间差,因为可以知道我们这个程序花费的时间是在
*毫秒级别的,所以计算时间差时我们就没有考虑秒,只是
*计算毫秒的差值
*/
strcat ( data, str6) ;
cost = ( int ) end. tv_usec- ( int ) start. tv_usec;
snprintf( tmp, sizeof ( cost) , "%d" , cost ) ; strcat ( data, tmp) ;
strcat ( data, str8) ;
strcat ( data, "/n/n" ) ; writefile( filename, data) ;
printk( "%d/n" , sizeof ( data) ) ;
} void writefile( char * filename, char * data )
{
struct file * filp;
mm_segment_t fs; filp = filp_open( filename, O_RDWR| O_APPEND| O_CREAT, ) ; ;
if ( IS_ERR( filp) ) {
printk( "open file error.../n" ) ;
return ;
}
fs = get_fs( ) ;
set_fs( KERNEL_DS) ;
filp->f_op->write(filp, data, strlen ( data) , &filp->f_pos);
set_fs( fs) ;
filp_close( filp, NULL ) ;
}
void traversal_list_for_each( void )
{ task = & init_task;
count = ;
method= "list_for_each/n" ; do_gettimeofday( & start) ;
list_for_each( pos, &task->tasks ) {
p = list_entry( pos, struct task_struct, tasks ) ;
count++ ;
printk( KERN_ALERT "%d/t%s/n" , p->pid, p->comm ) ;
}
do_gettimeofday( & end) ; print_message( ) ; } void traversal_list_for_each_entry( void )
{ task = & init_task;
count = ;
method= "list_for_each_entry/n" ; do_gettimeofday( & start) ;
list_for_each_entry( p, & task->tasks, tasks ) {
count++ ;
printk( KERN_ALERT "%d/t%s/n" , p->pid, p->comm ) ;
}
do_gettimeofday( & end) ; print_message( ) ;
} void traversal_for_each_process( void )
{
count = ;
method= "for_each_process/n" ; do_gettimeofday( & start) ;
for_each_process( task) {
count++;
printk( KERN_ALERT "%d/t%s/n" , task->pid, task->comm ) ;
}
do_gettimeofday( & end) ; print_message( ) ;
}

Makefile

#
## Variables needed to build the kernel module
#
#
name = trave_process obj-m += $(name).o all: build .PHONY: build install clean build:
make -C /lib/modules/$(shell uname -r)/build M=$(PWD) modules CONFIG_DEBUG_SECTION_MISMATCH=y install: build
-mkdir -p /lib/modules/`uname -r`/kernel/arch/x86/kernel/
cp $(name).ko /lib/modules/`uname -r`/kernel/arch/x86/kernel/
depmod /lib/modules/`uname -r`/kernel/arch/x86/kernel/$(name).ko clean:
[ -d /lib/modules/$(shell uname -r)/build ] && \
make -C /lib/modules/$(shell uname -r)/build M=$(PWD) clean

编译、加载并运行后,可以根据进程链表(task_struct链表)遍历出当前系统内核中存在的进程

Relevant Link:
http://blog.csdn.net/tigerjibo/article/details/8299599
http://www.cnblogs.com/chengxuyuancc/p/3376627.html
http://blog.csdn.net/tody_guo/article/details/5447402

3. 内核模块相关数据结构

0x0: THIS_MODULE宏

和CURRENT宏有几分相似,可以通过THIS_MODULE宏来引用模块的struct module结构指针

\linux-2.6.32.63\include\linux\module.h

#ifdef MODULE
#define MODULE_GENERIC_TABLE(gtype,name) \
extern const struct gtype##_id __mod_##gtype##_table \
__attribute__ ((unused, alias(__stringify(name)))) extern struct module __this_module;
#define THIS_MODULE (&__this_module)
#else /* !MODULE */
#define MODULE_GENERIC_TABLE(gtype,name)
#define THIS_MODULE ((struct module *)0)
#endif

__this_module这个符号是在加载到内核后才产生的。insmod命令执行后,会调用kernel/module.c里的一个系统调用sys_init_module,它会调用load_module函数,将用户空间传入的整个内核模块文件创建成一个内核模块,并返回一个struct module结构体,从此,内核中便以这个结构体代表这个内核模块。THIS_MODULE类似进程的CURRENT
关于sys_init_module、load_module的系统调用内核代码原理分析,请参阅另一篇文章

http://www.cnblogs.com/LittleHann/p/3920387.html

0x1: struct module

结构体struct module在内核中代表一个内核模块,通过insmod(实际执行init_module系统调用)把自己编写的内核模块插入内核时,模块便与一个 struct module结构体相关联,并成为内核的一部分,也就是说在内核中,以module这个结构体代表一个内核模块(和windows下kprocess、kthread的概念很类似),从这里也可以看出,在内核领域,windows和linux在很多地方是异曲同工的

struct module
{
/*
1. enum module_state state
enum module_state
{
MODULE_STATE_LIVE, //模块当前正常使用中(存活状态)
MODULE_STATE_COMING, //模块当前正在被加载
MODULE_STATE_GOING, //模块当前正在被卸载
};
load_module函数中完成模块的部分创建工作后,把状态置为 MODULE_STATE_COMING
sys_init_module函数中完成模块的全部初始化工作后(包括把模块加入全局的模块列表,调用模块本身的初始化函数),把模块状态置为MODULE_STATE_LIVE
使用rmmod工具卸载模块时,会调用系统调用delete_module,会把模块的状态置为MODULE_STATE_GOING
这是模块内部维护的一个状态
*/
enum module_state state; /*
2. struct list_head list
list是作为一个列表的成员,所有的内核模块都被维护在一个全局链表中,链表头是一个全局变量struct module *modules。任何一个新创建的模块,都会被加入到这个链表的头部
struct list_head
{
struct list_head *next, *prev;
};
这里,我们需要再次理解一下,链表是内核中的一个重要的机制,包括进程、模块在内的很多东西都被以链表的形式进行组织,因为是双向循环链表,我们可以任何一个modules->next遍历并获取到当前内核中的任何链表元素,这
在很多的枚举场景、隐藏、反隐藏的技术中得以应用
*/
struct list_head list; /*
3. char name[MODULE_NAME_LEN]
name是模块的名字,一般会拿模块文件的文件名作为模块名。它是这个模块的一个标识
*/
char name[MODULE_NAME_LEN]; /*
4. struct module_kobject mkobj
该成员是一个结构体类型,结构体的定义如下:
struct module_kobject
{
/*
4.1 struct kobject kobj
kobj是一个struct kobject结构体
kobject是组成设备模型的基本结构。设备模型是在2.6内核中出现的新的概念,因为随着拓扑结构越来越复杂,以及要支持诸如电源管理等新特性的要求,向新版本的内核明确提出了这样的要求:需要有一个对系统的一般性
抽象描述。设备模型提供了这样的抽象
kobject最初只是被理解为一个简单的引用计数,但现在也有了很多成员,它所能处理的任务以及它所支持的代码包括:对象的引用计数;sysfs表述;结构关联;热插拔事件处理。下面是kobject结构的定义:
struct kobject
{ //k_name和name都是该内核对象的名称,在内核模块的内嵌kobject中,名称即为内核模块的名称
const char *k_name;
char name[KOBJ_NAME_LEN];
/*
kref是该kobject的引用计数,新创建的kobject被加入到kset时(调用kobject_init),引用计数被加1,然后kobject跟它的parent建立关联时,引用计数被加1,所以一个新创建的kobject,其引用计数总是为2
*/
struct kref kref;
//entry是作为链表的节点,所有同一子系统下的所有相同类型的kobject被链接成一个链表组织在一起
struct list_head entry;
//parent指向该kobject所属分层结构中的上一层节点,所有内核模块的parent是module
struct kobject *parent;
/*
成员kset就是嵌入相同类型结构的kobject集合。下面是struct kset结构体的定义:
struct kset
{
struct subsystem *subsys;
struct kobj_type *ktype;
struct list_head list;
spinlock_t list_lock;
struct kobject kobj;
struct kset_uevent_ops * uevent_ops;
};
*/
struct kset *kset;
//ktype则是模块的属性,这些属性都会在kobject的sysfs目录中显示
struct kobj_type *ktype;
//dentry则是文件系统相关的一个节点
struct dentry *dentry;
};
*/
struct kobject kobj; //mod指向包容它的struct module成员
struct module *mod;
};
*/
struct module_kobject mkobj; struct module_param_attrs *param_attrs;
const char *version;
const char *srcversion; /* Exported symbols */
const struct kernel_symbol *syms;
unsigned int num_syms;
const unsigned long *crcs; /* GPL-only exported symbols. */
const struct kernel_symbol *gpl_syms;
unsigned int num_gpl_syms;
const unsigned long *gpl_crcs; unsigned int num_exentries;
const struct exception_table_entry *extable; int (*init)(void);
/*
初始化相关
*/
void *module_init;
void *module_core;
unsigned long init_size, core_size;
unsigned long init_text_size, core_text_size;
struct mod_arch_specific arch;
int unsafe;
int license_gplok; #ifdef CONFIG_MODULE_UNLOAD
struct module_ref ref[NR_CPUS];
struct list_head modules_which_use_me;
struct task_struct *waiter;
void (*exit)(void);
#endif #ifdef CONFIG_KALLSYMS
Elf_Sym *symtab;
unsigned long num_symtab;
char *strtab;
struct module_sect_attrs *sect_attrs;
#endif
void *percpu;
char *args;
};

从struct module结构体可以看出,在内核态,我们如果要枚举当前模块列表,可以使用

. struct module->list
. struct module->mkobj->kobj->entry
. struct module->mkobj->kobj->kset
//通过它们三个都可以指向一个内核模块的链表

Relevant Link:

http://lxr.free-electrons.com/source/include/linux/module.h
http://www.cs.fsu.edu/~baker/devices/lxr/http/source/linux/include/linux/module.h
http://blog.chinaunix.net/uid-9525959-id-2001630.html
http://blog.csdn.net/linweig/article/details/5044722

0x2: struct module_use

source/include/linux/module.h

/* modules using other modules: kdb wants to see this. */
struct module_use
{
struct list_head source_list;
struct list_head target_list;
struct module *source, *target;
};

"struct module_use"和"struct module->module_which_use_me"这两个结果共同组合和保证了内核模块中的依赖关系。
如果模块B使用了模块A提供的函数,那么模块A和模块B之间就存在关系,可以从两个方面来看这种关系

. 模块B依赖模块A
除非模块A已经驻留在内核内存,否则模块B无法装载 . 模块B引用模块A
除非模块B已经移除,否则模块A无法从内核移除,在内核中,这种关系称之为"模块B使用模块A"

对每个使用了模块A中函数的模块B,都会创建一个module_use结构体实例,该实例将被添加到模块A(被依赖的模块)的module实例中的modules_which_use_me链表中,modules_which_use_me指向模块B的module实例。
明白了模块间的依赖关系在数据结构上的表现,可以很容易地枚举出所有模块的依赖关系

4. 文件系统相关数据结构

0x1: struct file

文件结构体代表一个打开的文件,系统中的每个打开的文件在内核空间都有一个关联的struct file。它由内核在打开文件时创建,并传递给在文件上进行操作的任何函数。在文件的所有实例都关闭后,内核释放这个数据结构

struct file
{
/*
* fu_list becomes invalid after file_free is called and queued via
* fu_rcuhead for RCU freeing
*/
union
{
/*
定义在 linux/include/linux/list.h中
struct list_head
{
struct list_head *next, *prev;
};
用于通用文件对象链表的指针,所有打开的文件形成一个链表
*/
struct list_head fu_list;
/*
定义在linux/include/linux/rcupdate.h中
struct rcu_head
{
struct rcu_head *next;
void (*func)(struct rcu_head *head);
};
RCU(Read-Copy Update)是Linux 2.6内核中新的锁机制
*/
struct rcu_head fu_rcuhead;
} f_u; /*
定义在linux/include/linux/namei.h中
struct path
{
/*
struct vfsmount *mnt的作用是指出该文件的已安装的文件系统,即指向VFS安装点的指针
*/
struct vfsmount *mnt;
/*
struct dentry *dentry是与文件相关的目录项对象,指向相关目录项的指针
*/
struct dentry *dentry;
};
*/
struct path f_path;
#define f_dentry f_path.dentry
#define f_vfsmnt f_path.mnt /*
   指向文件操作表的指针
定义在linux/include/linux/fs.h中,其中包含着与文件关联的操作,例如
struct file_operations
{
struct module *owner;
loff_t (*llseek) (struct file *, loff_t, int);
ssize_t (*read) (struct file *, char __user *, size_t, loff_t *);
ssize_t (*write) (struct file *, const char __user *, size_t, loff_t *);
ssize_t (*aio_read) (struct kiocb *, const struct iovec *, unsigned long, loff_t);
ssize_t (*aio_write) (struct kiocb *, const struct iovec *, unsigned long, loff_t);
int (*readdir) (struct file *, void *, filldir_t);
unsigned int (*poll) (struct file *, struct poll_table_struct *);
int (*ioctl) (struct inode *, struct file *, unsigned int, unsigned long);
long (*unlocked_ioctl) (struct file *, unsigned int, unsigned long);
long (*compat_ioctl) (struct file *, unsigned int, unsigned long);
int (*mmap) (struct file *, struct vm_area_struct *);
int (*open) (struct inode *, struct file *);
int (*flush) (struct file *, fl_owner_t id);
int (*release) (struct inode *, struct file *);
int (*fsync) (struct file *, struct dentry *, int datasync);
int (*aio_fsync) (struct kiocb *, int datasync);
int (*fasync) (int, struct file *, int);
int (*lock) (struct file *, int, struct file_lock *);
ssize_t (*sendpage) (struct file *, struct page *, int, size_t, loff_t *, int);
unsigned long (*get_unmapped_area)(struct file *, unsigned long, unsigned long, unsigned long, unsigned long);
int (*check_flags)(int);
int (*flock) (struct file *, int, struct file_lock *);
ssize_t (*splice_write)(struct pipe_inode_info *, struct file *, loff_t *, size_t, unsigned int);
ssize_t (*splice_read)(struct file *, loff_t *, struct pipe_inode_info *, size_t, unsigned int);
int (*setlease)(struct file *, long, struct file_lock **);
};
当打开一个文件时,内核就创建一个与该文件相关联的struct file结构,其中的*f_op就指向的是具体对该文件进行操作的函数
例如用户调用系统调用read来读取该文件的内容时,那么系统调用read最终会陷入内核调用sys_read函数,而sys_read最终会调用于该文件关联的struct file结构中的f_op->read函数对文件内容进行读取
*/
const struct file_operations *f_op;
spinlock_t f_lock; /* f_ep_links, f_flags, no IRQ */ /*
typedef struct { volatile int counter; } atomic_t;
volatile修饰字段告诉gcc不要对该类型的数据做优化处理,对它的访问都是对内存的访问,而不是对寄存器的访问
f_count的作用是记录对文件对象的引用计数,也即当前有多少个进程在使用该文件
*/
atomic_long_t f_count; /*
当打开文件时指定的标志,对应系统调用open的int flags参数。驱动程序为了支持非阻塞型操作需要检查这个标志
*/
unsigned int f_flags; /*
对文件的读写模式,对应系统调用open的mod_t mode参数。如果驱动程序需要这个值,可以直接读取这个字段。
mod_t被定义为:
typedef unsigned int __kernel_mode_t;
typedef __kernel_mode_t mode_t;
*/
fmode_t f_mode; /*
当前的文件指针位置,即文件的读写位置
loff_t被定义为:
typedef long long __kernel_loff_t;
typedef __kernel_loff_t loff_t;
*/
loff_t f_pos; /*
struct fown_struct在linux/include/linux/fs.h被定义
struct fown_struct
{
rwlock_t lock; /* protects pid, uid, euid fields */
struct pid *pid; /* pid or -pgrp where SIGIO should be sent */
enum pid_type pid_type; /* Kind of process group SIGIO should be sent to */
uid_t uid, euid; /* uid/euid of process setting the owner */
int signum; /* posix.1b rt signal to be delivered on IO */
};
该结构的作用是通过信号进行I/O时间通知的数据
*/
struct fown_struct f_owner;
const struct cred *f_cred; /*
struct file_ra_state结构被定义在/linux/include/linux/fs.h中
struct file_ra_state
{
pgoff_t start; /* where readahead started */
unsigned long size; /* # of readahead pages */
unsigned long async_size; /* do asynchronous readahead when
there are only # of pages ahead */ unsigned long ra_pages; /* Maximum readahead window */
unsigned long mmap_hit; /* Cache hit stat for mmap accesses */
unsigned long mmap_miss; /* Cache miss stat for mmap accesses */
unsigned long prev_index; /* Cache last read() position */
unsigned int prev_offset; /* Offset where last read() ended in a page */
};
该结构标识了文件预读状态,文件预读算法使用的主要数据结构,当打开一个文件时,f_ra中出了perv_page(默认为-)和ra_apges(对该文件允许的最大预读量)这两个字段外,其他的所有西端都置为0
*/
struct file_ra_state f_ra; /*
记录文件的版本号,每次使用后都自动递增
*/
u64 f_version;
#ifdef CONFIG_SECURITY
/*
#ifdef CONFIG_SECURITY
void *f_security;
#endif
如果在编译内核时配置了安全措施,那么struct file结构中就会有void *f_security数据项,用来描述安全措施或者是记录与安全有关的信息。
*/
void *f_security;
#endif
/*
系统在调用驱动程序的open方法前将这个指针置为NULL。驱动程序可以将这个字段用于任意目的,也可以忽略这个字段。驱动程序可以用这个字段指向已分配的数据,但是一定要在内核释放file结构前的release方法中清除它
*/
void *private_data; #ifdef CONFIG_EPOLL
/*
被用在fs/eventpoll.c来链接所有钩到这个文件上。其中
1) f_ep_links是文件的事件轮询等待者链表的头
2) f_ep_lock是保护f_ep_links链表的自旋锁
*/
struct list_head f_ep_links;
struct list_head f_tfile_llink;
#endif /* #ifdef CONFIG_EPOLL */ /*
struct address_space被定义在/linux/include/linux/fs.h中,此处是指向文件地址空间的指针
*/
struct address_space *f_mapping;
#ifdef CONFIG_DEBUG_WRITECOUNT
unsigned long f_mnt_write_state;
#endif
};

每个文件对象总是包含在下列的一个双向循环链表之中

. "未使用"文件对象的链表
该链表既可以用做文件对象的内存高速缓存,又可以当作超级用户的备用存储器,也就是说,即使系统的动态内存用完,也允许超级用户打开文件。由于这些对象是未使用的,它们的f_count域是NULL,该链表首元素的地址存放在变量
free_list中,内核必须确认该链表总是至少包含NR_RESERVED_FILES个对象,通常该值设为10 . "正在使用"文件对的象链表
该链表中的每个元素至少由一个进程使用,因此,各个元素的f_count域不会为NULL,该链表中第一个元素的地址存放在变量anon_list中
如果VFS需要分配一个新的文件对象,就调用函数get_empty_filp()。该函数检测"未使用"文件对象链表的元素个数是否多于NR_RESERVED_FILES,如果是,可以为新打开的文件使用其中的一个元素;如果没有,则退回到正常的内存
分配(也就是说这是一种高速缓存机制)

Relevant Link:

http://linux.chinaunix.net/techdoc/system/2008/07/24/1020195.shtml
http://blog.csdn.net/fantasyhujian/article/details/9166117

0x2: struct inode

我们知道,在linux内核中,用file结构表示打开的文件描述符,而用inode结构表示具体的文件

struct inode
{
/*
哈希表
*/
struct hlist_node i_hash; /*
索引节点链表(backing dev IO list)
*/
struct list_head i_list;
struct list_head i_sb_list; /*
目录项链表
*/
struct list_head i_dentry; /*
节点号
*/
unsigned long i_ino; /*
引用记数
*/
atomic_t i_count; /*
硬链接数
*/
unsigned int i_nlink; /*
使用者id
*/
uid_t i_uid; /*
使用者所在组id
*/
gid_t i_gid; /*
实设备标识符
*/
dev_t i_rdev; /*
版本号
*/
u64 i_version; /*
以字节为单位的文件大小
*/
loff_t i_size;
#ifdef __NEED_I_SIZE_ORDERED
seqcount_t i_size_seqcount;
#endif
/*
最后访问时间
*/
struct timespec i_atime; /*
最后修改(modify)时间
*/
struct timespec i_mtime; /*
最后改变(change)时间
*/
struct timespec i_ctime; /*
文件的块数
*/
blkcnt_t i_blocks; /*
以位为单位的块大小
*/
unsigned int i_blkbits; /*
使用的字节数
*/
unsigned short i_bytes; /*
访问权限控制
*/
umode_t i_mode; /*
自旋锁
*/
spinlock_t i_lock;
struct mutex i_mutex; /*
索引节点信号量
*/
struct rw_semaphore i_alloc_sem; /*
索引节点操作表
索引节点的操作inode_operations定义在linux/fs.h
struct inode_operations
{
/*
1. VFS通过系统调用create()和open()来调用该函数,从而为dentry对象创建一个新的索引节点。在创建时使用mode制定初始模式
*/
int (*create) (struct inode *, struct dentry *,int);
/*
2. 该函数在特定目录中寻找索引节点,该索引节点要对应于dentry中给出的文件名
*/
struct dentry * (*lookup) (struct inode *, struct dentry *);
/*
3. 该函数被系统调用link()调用,用来创建硬连接。硬链接名称由dentry参数指定,连接对象是dir目录中ld_dentry目录想所代表的文件
*/
int (*link) (struct dentry *, struct inode *, struct dentry *);
/*
4. 该函数被系统调用unlink()调用,从目录dir中删除由目录项dentry制动的索引节点对象
*/
int (*unlink) (struct inode *, struct dentry *);
/*
5. 该函数被系统调用symlik()调用,创建符号连接,该符号连接名称由symname指定,连接对象是dir目录中的dentry目录项
*/
int (*symlink) (struct inode *, struct dentry *, const char *);
/*
6. 该函数被mkdir()调用,创建一个新路径。创建时使用mode制定的初始模式
*/
int (*mkdir) (struct inode *, struct dentry *, int);
/*
7. 该函数被系统调用rmdir()调用,删除dir目录中的dentry目录项代表的文件
*/
int (*rmdir) (struct inode *, struct dentry *);
/*
8. 该函数被系统调用mknod()调用,创建特殊文件(设备文件、命名管道或套接字)。要创建的文件放在dir目录中,其目录项问dentry,关联的设备为rdev,初始权限由mode指定
*/
int (*mknod) (struct inode *, struct dentry *, int, dev_t);
/*
9. VFS调用该函数来移动文件。文件源路径在old_dir目录中,源文件由old_dentry目录项所指定,目标路径在new_dir目录中,目标文件由new_dentry指定
*/
int (*rename) (struct inode *, struct dentry *, struct inode *, struct dentry *);
/*
10. 该函数被系统调用readlink()调用,拷贝数据到特定的缓冲buffer中。拷贝的数据来自dentry指定的符号链接,最大拷贝大小可达到buflen字节
*/
int (*readlink) (struct dentry *, char *, int);
/*
11. 该函数由VFS调用,从一个符号连接查找他指向的索引节点,由dentry指向的连接被解析
*/
int (*follow_link) (struct dentry *, struct nameidata *);
/*
12. 在follow_link()调用之后,该函数由vfs调用进行清楚工作
*/
int (*put_link) (struct dentry *, struct nameidata *);
/*
13. 该函数由VFS调用,修改文件的大小,在调用之前,索引节点的i_size项必须被设置成预期的大小
*/
void (*truncate) (struct inode *); /*
该函数用来检查inode所代表的文件是否允许特定的访问模式,如果允许特定的访问模式,返回0,否则返回负值的错误码。多数文件系统都将此区域设置为null,使用VFS提供的通用方法进行检查,这种检查操作仅仅比较索引
及诶但对象中的访问模式位是否和mask一致,比较复杂的系统, 比如支持访问控制链(ACL)的文件系统,需要使用特殊的permission()方法
*/
int (*permission) (struct inode *, int); /*
该函数被notify_change调用,在修改索引节点之后,通知发生了改变事件
*/
int (*setattr) (struct dentry *, struct iattr *); /*
在通知索引节点需要从磁盘中更新时,VFS会调用该函数
*/
int (*getattr) (struct vfsmount *, struct dentry *, struct kstat *); /*
该函数由VFS调用,向dentry指定的文件设置扩展属性,属性名为name,值为value
*/
int (*setxattr) (struct dentry *, const char *, const void *, size_t, int); /*
该函数被VFS调用,向value中拷贝给定文件的扩展属性name对应的数值
*/
ssize_t (*getxattr) (struct dentry *, const char *, void *, size_t); /*
该函数将特定文件所有属性别表拷贝到一个缓冲列表中
*/
ssize_t (*listxattr) (struct dentry *, char *, size_t); /*
该函数从给定文件中删除指定的属性
*/
int (*removexattr) (struct dentry *, const char *);
};
*/
const struct inode_operations *i_op; /*
默认的索引节点操作
former ->i_op->default_file_ops
*/
const struct file_operations *i_fop; /*
相关的超级块
*/
struct super_block *i_sb; /*
文件锁链表
*/
struct file_lock *i_flock; /*
相关的地址映射
*/
struct address_space *i_mapping; /*
设备地址映射
  address_space结构与文件的对应:一个具体的文件在打开后,内核会在内存中为之建立一个struct inode结构,其中的i_mapping域指向一个address_space结构。这样,一个文件就对应一个address_space结构,一个 address_space与一个偏移量能够确定一个page cache 或swap cache中的一个页面。因此,当要寻址某个数据时,很容易根据给定的文件及数据在文件内的偏移量而找到相应的页面
*/
struct address_space i_data;
#ifdef CONFIG_QUOTA
/*
节点的磁盘限额
*/
struct dquot *i_dquot[MAXQUOTAS];
#endif
/*
块设备链表
*/
struct list_head i_devices;
union
{
//管道信息
struct pipe_inode_info *i_pipe;
//块设备驱动
struct block_device *i_bdev;
struct cdev *i_cdev;
}; /*
索引节点版本号
*/
__u32 i_generation; #ifdef CONFIG_FSNOTIFY
/*
目录通知掩码
all events this inode cares about
*/
__u32 i_fsnotify_mask;
struct hlist_head i_fsnotify_mark_entries; /* fsnotify mark entries */
#endif #ifdef CONFIG_INOTIFY
struct list_head inotify_watches; /* watches on this inode */
struct mutex inotify_mutex; /* protects the watches list */
#endif
/*
状态标志
*/
unsigned long i_state; /*
首次修改时间
jiffies of first dirtying
*/
unsigned long dirtied_when; /*
文件系统标志
*/
unsigned int i_flags; /*
写者记数
*/
atomic_t i_writecount;
#ifdef CONFIG_SECURITY
/*
安全模块
*/
void *i_security;
#endif
#ifdef CONFIG_FS_POSIX_ACL
struct posix_acl *i_acl;
struct posix_acl *i_default_acl;
#endif
void *i_private; /* fs or device private pointer */
};

0x3: struct stat

struct stat在我们进行文件、目录属性读写的时候、磁盘IO状态监控的时候常常会用到的数据结构

/*
struct stat
{
dev_t st_dev; // ID of device containing file -文件所在设备的ID
ino_t st_ino; // inode number -inode节点号
mode_t st_mode; // protection -保护模式?
nlink_t st_nlink; // number of hard links -链向此文件的连接数(硬连接)
uid_t st_uid; // user ID of owner -user id
gid_t st_gid; // group ID of owner - group id
dev_t st_rdev; // device ID (if special file) -设备号,针对设备文件
off_t st_size; // total size, in bytes -文件大小,字节为单位
blksize_t st_blksize; // blocksize for filesystem I/O -系统块的大小
blkcnt_t st_blocks; // number of blocks allocated -文件所占块数 time_t st_atime; // time of last access - 最近存取时间
time_t st_mtime; // time of last modification - 最近修改时间
time_t st_ctime; // time of last status change - 最近创建时间
};
*/

Relevant Link:

http://blog.sina.com.cn/s/blog_7943319e01018m4h.html
http://www.cnblogs.com/QJohnson/archive/2011/06/24/2089414.html
http://blog.csdn.net/tian*st/article/details/6609470

Each process on the system has its own list of open files, root filesystem, current working directory, mount points, and so on. Three data structures tie together the VFS layer and the processes on the system: the files_struct,fs_struct, and namespace structure.

The second process-related structure is fs_struct, which contains filesystem information related to a process and is pointed at by the fs field in the process descriptor. The structure is defined in <linux/fs_struct.h>. Here it is, with comments:

0x4: struct fs_struct

文件系统相关信息结构体

struct fs_struct
{
atomic_t count; //共享这个表的进程个数
rwlock_t lock; //用于表中字段的读/写自旋锁
int umask; //当打开文件设置文件权限时所使用的位掩码 struct dentry * root; //根目录的目录项
struct dentry * pwd; //当前工作目录的目录项
struct dentry * altroot; //模拟根目录的目录项(在80x86结构上始终为NULL) struct vfsmount * rootmnt; //根目录所安装的文件系统对象
struct vfsmount* pwdmnt; //当前工作目录所安装的文件系统对象
struct vfsmount* altrootmnt; //模拟根目录所安装的文件系统对象(在80x86结构上始终为NULL)
};

0x5: struct files_struct

The files_struct is defined in <linux/file.h>. This table's address is pointed to by the files enTRy in the processor descriptor. All per-process information about open files and file descriptors is contained therein. Here it is, with comments:

表示进程当前打开的文件,表的地址存放于进程描述符task_struct的files字段,每个进程用一个files_struct结构来记录文件描述符的使用情况,这个files_struct结构称为用户打开文件表,它是进程的私有数据

struct files_struct
{
atomic_t count; //共享该表的进程数 struct fdtable *fdt; //指向fdtable结构的指针
struct fdtable fdtab; //指向fdtable结构 spinlock_t file_lock ____cacheline_aligned_in_smp;
int next_fd; //已分配的文件描述符加1
struct embedded_fd_set close_on_exec_init; //指向执行exec()时需要关闭的文件描述符
struct embedded_fd_set open_fds_init; //文件描述符的初值集合
struct file * fd_array[NR_OPEN_DEFAULT]; //文件对象指针的初始化数组
};

0x6: struct fdtable

struct fdtable
{
unsigned int max_fds;
int max_fdset; /*
current fd array
指向文件对象的指针数组,通常,fd字段指向files_struct结构的fd_array字段,该字段包括32个文件对象指针。如果进程打开的文件数目多于32,内核就分配一个新的、更大的文件指针数组,并将其地址存放在fd字段中,
内核同时也更新max_fds字段的值 对于在fd数组中所有元素的每个文件来说,数组的索引就是文件描述符(file descriptor)。通常,数组的第一个元素(索引为0)是进程的标准输入文件,数组的第二个元素(索引为1)是进程的标准输出文件,数组的第三个元素
(索引为2)是进程的标准错误文件
*/
struct file ** fd; fd_set *close_on_exec;
fd_set *open_fds;
struct rcu_head rcu;
struct files_struct *free_files;
struct fdtable *next;
};
#define NR_OPEN_DEFAULT BITS_PER_LONG
#define BITS_PER_LONG 32 /* asm-i386 */

用一张图表示task_struct、fs_struct、files_struct、fdtable、file的关系

aaarticlea/png;base64,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*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*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" alt="" />

Relevant Link:

http://oss.org.cn/kernel-book/ch08/8.2.4.htm
http://www.makelinux.net/books/lkd2/ch12lev1sec10

0x7: struct dentry

struct dentry
{
//目录项引用计数器
atomic_t d_count; /*
目录项标志 protected by d_lock
#define DCACHE_AUTOFS_PENDING 0x0001 // autofs: "under construction"
#define DCACHE_NFSFS_RENAMED 0x0002 // this dentry has been "silly renamed" and has to be eleted on the last dput()
#define DCACHE_DISCONNECTED 0x0004 //指定了一个dentry当前没有连接到超级块的dentry树
#define DCACHE_REFERENCED 0x0008 //Recently used, don't discard.
#define DCACHE_UNHASHED 0x0010 //该dentry实例没有包含在任何inode的散列表中
#define DCACHE_INOTIFY_PARENT_WATCHED 0x0020 // Parent inode is watched by inotify
#define DCACHE_COOKIE 0x0040 // For use by dcookie subsystem
#define DCACHE_FSNOTIFY_PARENT_WATCHED 0x0080 // Parent inode is watched by some fsnotify listener
*/
unsigned int d_flags; //per dentry lock
spinlock_t d_lock; //当前dentry对象表示一个装载点,那么d_mounted设置为1,否则为0
int d_mounted; /*
文件名所属的inode,如果为NULL,则表示不存在的文件名
如果dentry对象是一个不存在的文件名建立的,则d_inode为NULL指针,这有助于加速查找不存在的文件名,通常情况下,这与查找实际存在的文件名同样耗时
*/
struct inode *d_inode;
/*
The next three fields are touched by __d_lookup. Place them here so they all fit in a cache line.
*/
//用于查找的散列表 lookup hash list
struct hlist_node d_hash; /*
指向当前的dentry实例的父母了的dentry实例 parent directory
当前的dentry实例即位于父目录的d_subdirs链表中,对于根目录(没有父目录),d_parent指向其自身的dentry实例
*/
struct dentry *d_parent; /*
d_iname指定了文件的名称,qstr是一个内核字符串的包装器,它存储了实际的char*字符串以及字符串长度和散列值,这使得更容易处理查找工作
要注意的是,这里并不存储绝对路径,而是只有路径的最后一个分量,例如对/usr/bin/emacs只存储emacs,因为在linux中,路径信息隐含在了dentry层次链表结构中了
*/
struct qstr d_name; //LRU list
struct list_head d_lru;
/*
* d_child and d_rcu can share memory
*/
union
{
/* child of parent list */
struct list_head d_child;
//链表元素,用于将dentry连接到inode的i_dentry链表中
struct rcu_head d_rcu;
} d_u; //our children 子目录/文件的目录项链表
struct list_head d_subdirs; /*
inode alias list 链表元素,用于将dentry连接到inode的i_dentry链表中
d_alias用作链表元素,以连接表示相同文件的各个dentry对象,在利用硬链接用两个不同名称表示同一文件时,会发生这种情况,对应于文件的inode的i_dentry成员用作该链表的表头,各个dentry对象通过d_alias连接到该链表中
*/
struct list_head d_alias; //used by d_revalidate
unsigned long d_time; /*
d_op指向一个结构,其中包含了各种函数指针,提供对dentry对象的各种操作,这些操作必须由底层文件系统实现
struct dentry_operations
{
//在把目录项对象转换为一个文件路径名之前,判定该目录项对象是否依然有效
int (*d_revalidate)(struct dentry *, struct nameidata *); //生成一个散列值,用于目录项散列表
int (*d_hash) (struct dentry *, struct qstr *); //比较两个文件名
int (*d_compare) (struct dentry *, struct qstr *, struct qstr *); //当对目录项对象的最后一个引用被删除,调用该方法
int (*d_delete)(struct dentry *); //当要释放一个目录项对象时,调用该方法
void (*d_release)(struct dentry *); //当一个目录对象变为负状态时,调用该方法
void (*d_iput)(struct dentry *, struct inode *);
char *(*d_dname)(struct dentry *, char *, int);
};
*/
const struct dentry_operations *d_op; //The root of the dentry tree dentry树的根,超级块
struct super_block *d_sb; //fs-specific data 特定文件系统的数据
void *d_fsdata; /*
短文件名small names存储在这里
如果文件名由少量字符组成,则只保存在d_iname中,而不是dnanme中,用于加速访问
*/
unsigned char d_iname[DNAME_INLINE_LEN_MIN];
};

Relevant Link:

http://blog.csdn.net/fudan_abc/article/details/1775313

0x8: struct vfsmount

struct vfsmount
{
struct list_head mnt_hash; //装载点所在的父文件系统的vfsmount结构 fs we are mounted on,文件系统之间的父子关系就是这样实现的
struct vfsmount *mnt_parent; //装载点在父文件系统中的dentry(即装载点自身对应的dentry) dentry of mountpoint
struct dentry *mnt_mountpoint; //当前文件系统的相对根目录的dentry root of the mounted tree
struct dentry *mnt_root; /*
指向超级块的指针 pointer to superblock
mnt_sb指针建立了与相关的超级块之间的关联(对每个装载的文件系统而言,都有且只有一个超级块实例)
*/
struct super_block *mnt_sb; //子文件系统链表
struct list_head mnt_mounts;
//链表元素,用于父文件系统中的mnt_mounts链表
struct list_head mnt_child; /*
#define MNT_NOSUID 0x01 (禁止setuid执行)
#define MNT_NODEV 0x02 (装载的文件系统是虚拟的,没有物理后端设备)
#define MNT_NOEXEC 0x04
#define MNT_NOATIME 0x08
#define MNT_NODIRATIME 0x10
#define MNT_RELATIME 0x20
#define MNT_READONLY 0x40 // does the user want this to be r/o?
#define MNT_STRICTATIME 0x80
#define MNT_SHRINKABLE 0x100 (专用于NFS、AFS 用来标记子装载,设置了该标记的装载允许自动移除)
#define MNT_WRITE_HOLD 0x200
#define MNT_SHARED 0x1000 // if the vfsmount is a shared mount (共享装载)
#define MNT_UNBINDABLE 0x2000 // if the vfsmount is a unbindable mount (不可绑定装载)
#define MNT_PNODE_MASK 0x3000 // propagation flag mask (传播标志掩码)
*/
int mnt_flags;
/* 4 bytes hole on 64bits arches */ //设备名称,例如/dev/dsk/hda1 Name of device e.g. /dev/dsk/hda1
const char *mnt_devname;
struct list_head mnt_list; //链表元素,用于特定于文件系统的到期链表中 link in fs-specific expiry list
struct list_head mnt_expire; //链表元素,用于共享装载的循环链表 circular list of shared mounts
struct list_head mnt_share; //从属装载的链表 list of slave mounts
struct list_head mnt_slave_list;
//链表元素,用于从属装载的链表 slave list entry
struct list_head mnt_slave; //指向主装载,从属装载位于master->mnt_slave_list链表上 slave is on master->mnt_slave_list
struct vfsmount *mnt_master; //所属的命名空间 containing namespace
struct mnt_namespace *mnt_ns;
int mnt_id; /* mount identifier */
int mnt_group_id; /* peer group identifier */
/*
mnt_count实现了一个使用计数器,每当一个vfsmount实例不再需要时,都必须用mntput将计数器减1.mntget与mntput相对
We put mnt_count & mnt_expiry_mark at the end of struct vfsmount to let these frequently modified fields in a separate cache line (so that reads of mnt_flags wont ping-pong on SMP machines)
把mnt_count和mnt_expiry_mark防止在struct vfsmount的末尾,以便让这些频繁修改的字段与结构的主体处于两个不同的缓存行中(这样在SMP机器上读取mnt_flags不会造成高速缓存的颠簸)
*/
atomic_t mnt_count; //如果标记为到期,则其值为true true if marked for expiry
int mnt_expiry_mark;
int mnt_pinned;
int mnt_ghosts;
#ifdef CONFIG_SMP
int *mnt_writers;
#else
int mnt_writers;
#endif
};

Relevant Link:

http://www.cnblogs.com/Wandererzj/archive/2012/04/12/2444888.html

0x9: struct nameidata

路径查找是VFS的一个很重要的操作:给定一个文件名,获取该文件名的inode。路径查找是VFS中相当繁琐的一部分,主要是因为

. 符号链接
一个文件可能通过符号链接引用另一个文件,查找代码必须考虑到这种可能性,能够识别出链接,并在相应的处理后跳出循环 . 文件系统装载点
必须检测装载点,而后据此重定向查找操作 . 在通向目标文件名的路径上,必须检查所有目录的访问权限,进程必须有适当的权限,否则操作将终止,并给出错误信息 . . ..和//等特殊路径引入了复杂性

路径查找过程涉及到很多函数调用,在这些调用过程中,nameidata起到了很重要的作用:

. 向查找函数传递参数
. 保存查找结果

inode是类Unix系统的文件系统的基本索引方法,每个文件都对应一个inode,再通过inode找到文件中的实际数据,因此根据文件路径名找到具体的inode节点就是一个很重要的处理步骤。系统会缓存用过的每个文件或目录对应的dentry结构, 从该结构可以指向相应的inode, 每次打开文件, 都会最终对应到文件的inode,中间查找过程称为namei

结构体定义如下

struct nameidata
{
/*
用于确定文件路径
struct path
{
struct vfsmount *mnt;
struct dentry *dentry;
};
*/
struct path path; //需要查找的名称,这是一个快速字符串,除了路径字符串本身外,还包含字符串的长度和一个散列值
struct qstr last; //
struct path root;
unsigned int flags;
int last_type; //当前路径深度
unsigned depth; //由于在符号链接处理时,nd的名字一直发生变化,这里用来保存符号链接处理中的路径名
char *saved_names[MAX_NESTED_LINKS + ]; /* Intent data */
union
{
struct open_intent open;
} intent;
};

Relevant Link:

http://man7.org/linux/man-pages/man7/path_resolution.7.html
http://blog.sina.com.cn/s/blog_4a2f24830100l2h4.html
http://blog.csdn.net/kickxxx/article/details/9529961
http://blog.csdn.net/air_snake/article/details/2690554
http://losemyheaven.blog.163.com/blog/static/17071980920124593256317/

0x10: struct super_block

/source/include/linux/fs.h

struct super_block
{
/*
Keep this first
指向超级块链表的指针,用于将系统中所有的超级块聚集到一个链表中,该链表的表头是全局变量super_blocks
*/
struct list_head s_list; /*
search index; _not_ kdev_t
设备标识符
*/
dev_t s_dev; //以字节为单位的块大小
unsigned long s_blocksize; //以位为单位的块大小
unsigned char s_blocksize_bits; //修改脏标志,如果以任何方式改变了超级块,需要向磁盘回写,都会将s_dirt设置为1,否则为0
unsigned char s_dirt; //文件大小上限 Max file size
loff_t s_maxbytes; //文件系统类型
struct file_system_type *s_type; /*
struct super_operations
{
//给定的超级块下创建和初始化一个新的索引节点对象;
struct inode *(*alloc_inode)(struct super_block *sb); //用于释放给定的索引节点;
void (*destroy_inode)(struct inode *); //VFS在索引节点脏(被修改)时会调用此函数,日志文件系统(如ext3,ext4)执行该函数进行日志更新;
void (*dirty_inode) (struct inode *); //用于将给定的索引节点写入磁盘,wait参数指明写操作是否需要同步;
int (*write_inode) (struct inode *, struct writeback_control *wbc); //在最后一个指向索引节点的引用被释放后,VFS会调用该函数,VFS只需要简单地删除这个索引节点后,普通Uinx文件系统就不会定义这个函数了;
void (*drop_inode) (struct inode *); //用于从磁盘上删除给定的索引节点;
void (*delete_inode) (struct inode *); //在卸载文件系统时由VFS调用,用来释放超级块,调用者必须一直持有s_lock锁;
void (*put_super) (struct super_block *); //用给定的超级块更新磁盘上的超级块。VFS通过该函数对内存中的超级块和磁盘中的超级块进行同步。调用者必须一直持有s_lock锁;
void (*write_super) (struct super_block *); //使文件系统的数据元与磁盘上的文件系统同步。wait参数指定操作是否同步;
int (*sync_fs)(struct super_block *sb, int wait);
int (*freeze_fs) (struct super_block *);
int (*unfreeze_fs) (struct super_block *); //VFS通过调用该函数获取文件系统状态。指定文件系统县官的统计信息将放置在statfs中;
int (*statfs) (struct dentry *, struct kstatfs *); //当指定新的安装选项重新安装文件系统时,VFS会调用该函数。调用者必须一直持有s_lock锁;
int (*remount_fs) (struct super_block *, int *, char *); //VFS调用该函数释放索引节点,并清空包含相关数据的所有页面;
void (*clear_inode) (struct inode *); //VFS调用该函数中断安装操作。该函数被网络文件系统使用,如NFS;
void (*umount_begin) (struct super_block *); int (*show_options)(struct seq_file *, struct vfsmount *);
int (*show_stats)(struct seq_file *, struct vfsmount *);
#ifdef CONFIG_QUOTA
ssize_t (*quota_read)(struct super_block *,
int, char *, size_t, loff_t);
ssize_t (*quota_write)(struct super_block *,
int, const char *, size_t, loff_t);
#endif
int (*bdev_try_to_free_page)(struct super_block*,
struct page*, gfp_t);
};
*/
const struct super_operations *s_op; //磁盘限额方法
const struct dquot_operations *dq_op; //磁盘限额方法
const struct quotactl_ops *s_qcop; //导出方法
const struct export_operations *s_export_op; //挂载标志
unsigned long s_flags; //文件系统魔数
unsigned long s_magic; //目录挂载点,s_root将超级块与全局根目录的dentry项关联起来,只有通常可见的文件系统的超级块,才指向/(根)目录的dentry实例。具有特殊功能、不出现在通常的目录层次结构中的文件系统(例如管道或套接字文件系统),指向专门的项,不能通过普通的文件命令访问。处理文件系统对象的代码经常需要检查文件系统是否已经装载,而s_root可用于该目的,如果它为NULL,则该文件系统是一个伪文件系统,只在内核内部可见。否则,该文件系统在用户空间中是可见的
struct dentry *s_root; //卸载信号量
struct rw_semaphore s_umount; //超级块信号量
struct mutex s_lock; //引用计数
int s_count; //尚未同步标志
int s_need_sync; //活动引用计数
atomic_t s_active;
#ifdef CONFIG_SECURITY
//安全模块
void *s_security;
#endif
struct xattr_handler **s_xattr; //all inodes
struct list_head s_inodes; //匿名目录项 anonymous dentries for (nfs) exporting
struct hlist_head s_anon; //被分配文件链表,列出了该超级块表示的文件系统上所有打开的文件。内核在卸载文件系统时将参考该列表,如果其中仍然包含为写入而打开的文件,则文件系统仍然处于使用中,卸载操作失败,并将返回适当的错误信息
struct list_head s_files; /* s_dentry_lru and s_nr_dentry_unused are protected by dcache_lock */
struct list_head s_dentry_lru; //unused dentry lru of dentry on lru
int s_nr_dentry_unused; //指向了底层文件系统的数据所在的相关块设备
struct block_device *s_bdev;
struct backing_dev_info *s_bdi;
struct mtd_info *s_mtd; //该类型文件系统
struct list_head s_instances; //限额相关选项 Diskquota specific options
struct quota_info s_dquot; int s_frozen;
wait_queue_head_t s_wait_unfrozen; //文本名字 Informational name
char s_id[]; //Filesystem private info
void *s_fs_info;
fmode_t s_mode; /*
* The next field is for VFS *only*. No filesystems have any business
* even looking at it. You had been warned.
*/
struct mutex s_vfs_rename_mutex; /* Kludge */ /* Granularity of c/m/atime in ns. Cannot be worse than a second 指定了文件系统支持的各种时间戳的最大可能的粒度 */
u32 s_time_gran; /*
* Filesystem subtype. If non-empty the filesystem type field
* in /proc/mounts will be "type.subtype"
*/
char *s_subtype; /*
* Saved mount options for lazy filesystems using
* generic_show_options()
*/
char *s_options;
};

Relevant Link:

http://linux.chinaunix.net/techdoc/system/2008/09/06/1030468.shtml
http://lxr.free-electrons.com/source/include/linux/fs.h

0x11: struct file_system_type

struct file_system_type
{
//文件系统的类型名,以字符串的形式出现,保存了文件系统的名称(例如reiserfs、ext3)
const char *name; /*
使用的标志,指明具体文件系统的一些特性,有关标志定义于fs.h中
#define FS_REQUIRES_DEV 1
#define FS_BINARY_MOUNTDATA 2
#define FS_HAS_SUBTYPE 4
#define FS_REVAL_DOT 16384 // Check the paths ".", ".." for staleness
#define FS_RENAME_DOES_D_MOVE 32768 // FS will handle d_move() during rename() internally.
*/
int fs_flags; //用于从底层存储介质读取超级块的函数,地址保存在get_sb中,这个函数对装载过程很重要,逻辑上,该函数依赖具体的文件系统,不能实现为抽象,而且该函数也不能保存在super_operations结构中,因为超级块对象和指向该结构的指针都是在调用get_sb之后创建的
int (*get_sb) (struct file_system_type *, int, const char *, void *, struct vfsmount *); //kill_sb在不再需要某个文件系统类型时执行清理工作
void (*kill_sb) (struct super_block *); /*
1. 如果file_system_type所代表的文件系统是通过可安装模块(LKM)实现的,则该指针指向代表着具体模块的module结构
2. 如果文件系统是静态地链接到内核,则这个域为NULL
实际上,我们只需要把这个域置为THIS_MODLUE(宏),它就能自动地完成上述工作
*/
struct module *owner; //把所有的file_system_type结构链接成单项链表的链接指针,变量file_systems指向这个链表。这个链表是一个临界资源,受file_systems_lock自旋读写锁的保护
struct file_system_type * next; /*
对于每个已经装载的文件系统,在内存中都创建了一个超级块结构,该结构保存了文件系统它本身和装载点的有关信息。由于可以装载几个同一类型的文件系统(例如home、root分区,它们的文件系统类型通常相同),同一文件系统类型可能对应了多个超级块结构,这些超级块聚集在一个链表中。fs_supers是对应的表头
这个域是Linux2.4.10以后的内核版本中新增加的,这是一个双向链表。链表中的元素是超级块结构,每个文件系统都有一个超级块,但有些文件系统可能被安装在不同的设备上,而且每个具体的设备都有一个超级块,这些超级块就形成一个双向链表
*/
struct list_head fs_supers; struct lock_class_key s_lock_key;
struct lock_class_key s_umount_key; struct lock_class_key i_lock_key;
struct lock_class_key i_mutex_key;
struct lock_class_key i_mutex_dir_key;
struct lock_class_key i_alloc_sem_key;
};

Relevant Link:

http://oss.org.cn/kernel-book/ch08/8.4.1.htm

5. 内核安全相关数据结构

0x1: struct security_operations

这是一个钩子函数的指针数组,其中每一个数组元素都是一个SELINUX安全钩子函数,在2.6以上的内核中,大部分涉及安全控制的系统调用都被替换为了这个结构体中的对应钩子函数项,从而使SELINUX能在代码执行流这个层面实现安全访问控制

这个结构中包含了按照内核对象或内核子系统分组的钩子组成的子结构,以及一些用于系统操作的顶层钩子。在内核源代码中很容易找到对钩子函数的调用: 其前缀是security_ops->xxxx

struct security_operations
{
char name[SECURITY_NAME_MAX + ]; int (*ptrace_access_check) (struct task_struct *child, unsigned int mode);
int (*ptrace_traceme) (struct task_struct *parent);
int (*capget) (struct task_struct *target,
kernel_cap_t *effective,
kernel_cap_t *inheritable, kernel_cap_t *permitted);
int (*capset) (struct cred *new,
const struct cred *old,
const kernel_cap_t *effective,
const kernel_cap_t *inheritable,
const kernel_cap_t *permitted);
int (*capable) (struct task_struct *tsk, const struct cred *cred,
int cap, int audit);
int (*acct) (struct file *file);
int (*sysctl) (struct ctl_table *table, int op);
int (*quotactl) (int cmds, int type, int id, struct super_block *sb);
int (*quota_on) (struct dentry *dentry);
int (*syslog) (int type);
int (*settime) (struct timespec *ts, struct timezone *tz);
int (*vm_enough_memory) (struct mm_struct *mm, long pages); int (*bprm_set_creds) (struct linux_binprm *bprm);
int (*bprm_check_security) (struct linux_binprm *bprm);
int (*bprm_secureexec) (struct linux_binprm *bprm);
void (*bprm_committing_creds) (struct linux_binprm *bprm);
void (*bprm_committed_creds) (struct linux_binprm *bprm); int (*sb_alloc_security) (struct super_block *sb);
void (*sb_free_security) (struct super_block *sb);
int (*sb_copy_data) (char *orig, char *copy);
int (*sb_kern_mount) (struct super_block *sb, int flags, void *data);
int (*sb_show_options) (struct seq_file *m, struct super_block *sb);
int (*sb_statfs) (struct dentry *dentry);
int (*sb_mount) (char *dev_name, struct path *path,
char *type, unsigned long flags, void *data);
int (*sb_check_sb) (struct vfsmount *mnt, struct path *path);
int (*sb_umount) (struct vfsmount *mnt, int flags);
void (*sb_umount_close) (struct vfsmount *mnt);
void (*sb_umount_busy) (struct vfsmount *mnt);
void (*sb_post_remount) (struct vfsmount *mnt,
unsigned long flags, void *data);
void (*sb_post_addmount) (struct vfsmount *mnt,
struct path *mountpoint);
int (*sb_pivotroot) (struct path *old_path,
struct path *new_path);
void (*sb_post_pivotroot) (struct path *old_path,
struct path *new_path);
int (*sb_set_mnt_opts) (struct super_block *sb,
struct security_mnt_opts *opts);
void (*sb_clone_mnt_opts) (const struct super_block *oldsb,
struct super_block *newsb);
int (*sb_parse_opts_str) (char *options, struct security_mnt_opts *opts); #ifdef CONFIG_SECURITY_PATH
int (*path_unlink) (struct path *dir, struct dentry *dentry);
int (*path_mkdir) (struct path *dir, struct dentry *dentry, int mode);
int (*path_rmdir) (struct path *dir, struct dentry *dentry);
int (*path_mknod) (struct path *dir, struct dentry *dentry, int mode,
unsigned int dev);
int (*path_truncate) (struct path *path, loff_t length,
unsigned int time_attrs);
int (*path_symlink) (struct path *dir, struct dentry *dentry,
const char *old_name);
int (*path_link) (struct dentry *old_dentry, struct path *new_dir,
struct dentry *new_dentry);
int (*path_rename) (struct path *old_dir, struct dentry *old_dentry,
struct path *new_dir, struct dentry *new_dentry);
#endif int (*inode_alloc_security) (struct inode *inode);
void (*inode_free_security) (struct inode *inode);
int (*inode_init_security) (struct inode *inode, struct inode *dir,
char **name, void **value, size_t *len);
int (*inode_create) (struct inode *dir,
struct dentry *dentry, int mode);
int (*inode_link) (struct dentry *old_dentry,
struct inode *dir, struct dentry *new_dentry);
int (*inode_unlink) (struct inode *dir, struct dentry *dentry);
int (*inode_symlink) (struct inode *dir,
struct dentry *dentry, const char *old_name);
int (*inode_mkdir) (struct inode *dir, struct dentry *dentry, int mode);
int (*inode_rmdir) (struct inode *dir, struct dentry *dentry);
int (*inode_mknod) (struct inode *dir, struct dentry *dentry,
int mode, dev_t dev);
int (*inode_rename) (struct inode *old_dir, struct dentry *old_dentry,
struct inode *new_dir, struct dentry *new_dentry);
int (*inode_readlink) (struct dentry *dentry);
int (*inode_follow_link) (struct dentry *dentry, struct nameidata *nd);
int (*inode_permission) (struct inode *inode, int mask);
int (*inode_setattr) (struct dentry *dentry, struct iattr *attr);
int (*inode_getattr) (struct vfsmount *mnt, struct dentry *dentry);
void (*inode_delete) (struct inode *inode);
int (*inode_setxattr) (struct dentry *dentry, const char *name,
const void *value, size_t size, int flags);
void (*inode_post_setxattr) (struct dentry *dentry, const char *name,
const void *value, size_t size, int flags);
int (*inode_getxattr) (struct dentry *dentry, const char *name);
int (*inode_listxattr) (struct dentry *dentry);
int (*inode_removexattr) (struct dentry *dentry, const char *name);
int (*inode_need_killpriv) (struct dentry *dentry);
int (*inode_killpriv) (struct dentry *dentry);
int (*inode_getsecurity) (const struct inode *inode, const char *name, void **buffer, bool alloc);
int (*inode_setsecurity) (struct inode *inode, const char *name, const void *value, size_t size, int flags);
int (*inode_listsecurity) (struct inode *inode, char *buffer, size_t buffer_size);
void (*inode_getsecid) (const struct inode *inode, u32 *secid); int (*file_permission) (struct file *file, int mask);
int (*file_alloc_security) (struct file *file);
void (*file_free_security) (struct file *file);
int (*file_ioctl) (struct file *file, unsigned int cmd,
unsigned long arg);
int (*file_mmap) (struct file *file,
unsigned long reqprot, unsigned long prot,
unsigned long flags, unsigned long addr,
unsigned long addr_only);
int (*file_mprotect) (struct vm_area_struct *vma,
unsigned long reqprot,
unsigned long prot);
int (*file_lock) (struct file *file, unsigned int cmd);
int (*file_fcntl) (struct file *file, unsigned int cmd,
unsigned long arg);
int (*file_set_fowner) (struct file *file);
int (*file_send_sigiotask) (struct task_struct *tsk,
struct fown_struct *fown, int sig);
int (*file_receive) (struct file *file);
int (*dentry_open) (struct file *file, const struct cred *cred); int (*task_create) (unsigned long clone_flags);
int (*cred_alloc_blank) (struct cred *cred, gfp_t gfp);
void (*cred_free) (struct cred *cred);
int (*cred_prepare)(struct cred *new, const struct cred *old,
gfp_t gfp);
void (*cred_commit)(struct cred *new, const struct cred *old);
void (*cred_transfer)(struct cred *new, const struct cred *old);
int (*kernel_act_as)(struct cred *new, u32 secid);
int (*kernel_create_files_as)(struct cred *new, struct inode *inode);
int (*kernel_module_request)(void);
int (*task_setuid) (uid_t id0, uid_t id1, uid_t id2, int flags);
int (*task_fix_setuid) (struct cred *new, const struct cred *old,
int flags);
int (*task_setgid) (gid_t id0, gid_t id1, gid_t id2, int flags);
int (*task_setpgid) (struct task_struct *p, pid_t pgid);
int (*task_getpgid) (struct task_struct *p);
int (*task_getsid) (struct task_struct *p);
void (*task_getsecid) (struct task_struct *p, u32 *secid);
int (*task_setgroups) (struct group_info *group_info);
int (*task_setnice) (struct task_struct *p, int nice);
int (*task_setioprio) (struct task_struct *p, int ioprio);
int (*task_getioprio) (struct task_struct *p);
int (*task_setrlimit) (unsigned int resource, struct rlimit *new_rlim);
int (*task_setscheduler) (struct task_struct *p, int policy,
struct sched_param *lp);
int (*task_getscheduler) (struct task_struct *p);
int (*task_movememory) (struct task_struct *p);
int (*task_kill) (struct task_struct *p,
struct siginfo *info, int sig, u32 secid);
int (*task_wait) (struct task_struct *p);
int (*task_prctl) (int option, unsigned long arg2,
unsigned long arg3, unsigned long arg4,
unsigned long arg5);
void (*task_to_inode) (struct task_struct *p, struct inode *inode); int (*ipc_permission) (struct kern_ipc_perm *ipcp, short flag);
void (*ipc_getsecid) (struct kern_ipc_perm *ipcp, u32 *secid); int (*msg_msg_alloc_security) (struct msg_msg *msg);
void (*msg_msg_free_security) (struct msg_msg *msg); int (*msg_queue_alloc_security) (struct msg_queue *msq);
void (*msg_queue_free_security) (struct msg_queue *msq);
int (*msg_queue_associate) (struct msg_queue *msq, int msqflg);
int (*msg_queue_msgctl) (struct msg_queue *msq, int cmd);
int (*msg_queue_msgsnd) (struct msg_queue *msq,
struct msg_msg *msg, int msqflg);
int (*msg_queue_msgrcv) (struct msg_queue *msq,
struct msg_msg *msg,
struct task_struct *target,
long type, int mode); int (*shm_alloc_security) (struct shmid_kernel *shp);
void (*shm_free_security) (struct shmid_kernel *shp);
int (*shm_associate) (struct shmid_kernel *shp, int shmflg);
int (*shm_shmctl) (struct shmid_kernel *shp, int cmd);
int (*shm_shmat) (struct shmid_kernel *shp,
char __user *shmaddr, int shmflg); int (*sem_alloc_security) (struct sem_array *sma);
void (*sem_free_security) (struct sem_array *sma);
int (*sem_associate) (struct sem_array *sma, int semflg);
int (*sem_semctl) (struct sem_array *sma, int cmd);
int (*sem_semop) (struct sem_array *sma,
struct sembuf *sops, unsigned nsops, int alter); int (*netlink_send) (struct sock *sk, struct sk_buff *skb);
int (*netlink_recv) (struct sk_buff *skb, int cap); void (*d_instantiate) (struct dentry *dentry, struct inode *inode); int (*getprocattr) (struct task_struct *p, char *name, char **value);
int (*setprocattr) (struct task_struct *p, char *name, void *value, size_t size);
int (*secid_to_secctx) (u32 secid, char **secdata, u32 *seclen);
int (*secctx_to_secid) (const char *secdata, u32 seclen, u32 *secid);
void (*release_secctx) (char *secdata, u32 seclen); int (*inode_notifysecctx)(struct inode *inode, void *ctx, u32 ctxlen);
int (*inode_setsecctx)(struct dentry *dentry, void *ctx, u32 ctxlen);
int (*inode_getsecctx)(struct inode *inode, void **ctx, u32 *ctxlen); #ifdef CONFIG_SECURITY_NETWORK
int (*unix_stream_connect) (struct socket *sock,
struct socket *other, struct sock *newsk);
int (*unix_may_send) (struct socket *sock, struct socket *other); int (*socket_create) (int family, int type, int protocol, int kern);
int (*socket_post_create) (struct socket *sock, int family,
int type, int protocol, int kern);
int (*socket_bind) (struct socket *sock,
struct sockaddr *address, int addrlen);
int (*socket_connect) (struct socket *sock,
struct sockaddr *address, int addrlen);
int (*socket_listen) (struct socket *sock, int backlog);
int (*socket_accept) (struct socket *sock, struct socket *newsock);
int (*socket_sendmsg) (struct socket *sock,
struct msghdr *msg, int size);
int (*socket_recvmsg) (struct socket *sock,
struct msghdr *msg, int size, int flags);
int (*socket_getsockname) (struct socket *sock);
int (*socket_getpeername) (struct socket *sock);
int (*socket_getsockopt) (struct socket *sock, int level, int optname);
int (*socket_setsockopt) (struct socket *sock, int level, int optname);
int (*socket_shutdown) (struct socket *sock, int how);
int (*socket_sock_rcv_skb) (struct sock *sk, struct sk_buff *skb);
int (*socket_getpeersec_stream) (struct socket *sock, char __user *optval, int __user *optlen, unsigned len);
int (*socket_getpeersec_dgram) (struct socket *sock, struct sk_buff *skb, u32 *secid);
int (*sk_alloc_security) (struct sock *sk, int family, gfp_t priority);
void (*sk_free_security) (struct sock *sk);
void (*sk_clone_security) (const struct sock *sk, struct sock *newsk);
void (*sk_getsecid) (struct sock *sk, u32 *secid);
void (*sock_graft) (struct sock *sk, struct socket *parent);
int (*inet_conn_request) (struct sock *sk, struct sk_buff *skb,
struct request_sock *req);
void (*inet_csk_clone) (struct sock *newsk, const struct request_sock *req);
void (*inet_conn_established) (struct sock *sk, struct sk_buff *skb);
void (*req_classify_flow) (const struct request_sock *req, struct flowi *fl);
int (*tun_dev_create)(void);
void (*tun_dev_post_create)(struct sock *sk);
int (*tun_dev_attach)(struct sock *sk);
#endif /* CONFIG_SECURITY_NETWORK */ #ifdef CONFIG_SECURITY_NETWORK_XFRM
int (*xfrm_policy_alloc_security) (struct xfrm_sec_ctx **ctxp,
struct xfrm_user_sec_ctx *sec_ctx);
int (*xfrm_policy_clone_security) (struct xfrm_sec_ctx *old_ctx, struct xfrm_sec_ctx **new_ctx);
void (*xfrm_policy_free_security) (struct xfrm_sec_ctx *ctx);
int (*xfrm_policy_delete_security) (struct xfrm_sec_ctx *ctx);
int (*xfrm_state_alloc_security) (struct xfrm_state *x,
struct xfrm_user_sec_ctx *sec_ctx,
u32 secid);
void (*xfrm_state_free_security) (struct xfrm_state *x);
int (*xfrm_state_delete_security) (struct xfrm_state *x);
int (*xfrm_policy_lookup) (struct xfrm_sec_ctx *ctx, u32 fl_secid, u8 dir);
int (*xfrm_state_pol_flow_match) (struct xfrm_state *x,
struct xfrm_policy *xp,
struct flowi *fl);
int (*xfrm_decode_session) (struct sk_buff *skb, u32 *secid, int ckall);
#endif /* CONFIG_SECURITY_NETWORK_XFRM */ /* key management security hooks */
#ifdef CONFIG_KEYS
int (*key_alloc) (struct key *key, const struct cred *cred, unsigned long flags);
void (*key_free) (struct key *key);
int (*key_permission) (key_ref_t key_ref,
const struct cred *cred,
key_perm_t perm);
int (*key_getsecurity)(struct key *key, char **_buffer);
int (*key_session_to_parent)(const struct cred *cred,
const struct cred *parent_cred,
struct key *key);
#endif /* CONFIG_KEYS */ #ifdef CONFIG_AUDIT
int (*audit_rule_init) (u32 field, u32 op, char *rulestr, void **lsmrule);
int (*audit_rule_known) (struct audit_krule *krule);
int (*audit_rule_match) (u32 secid, u32 field, u32 op, void *lsmrule,
struct audit_context *actx);
void (*audit_rule_free) (void *lsmrule);
#endif /* CONFIG_AUDIT */
};

Relevant Link:

http://www.hep.by/gnu/kernel/lsm/framework.html
http://blog.sina.com.cn/s/blog_858820890101eb3c.html
http://mirror.linux.org.au/linux-mandocs/2.6.4-cset-20040312_2111/security_operations.html

0x2: struct kprobe

用于存储每个探测点的基本结构

struct kprobe
{
/*用于保存kprobe的全局hash表,以被探测的addr为key*/
struct hlist_node hlist; /* list of kprobes for multi-handler support */
/*当对同一个探测点存在多个探测函数时,所有的函数挂在这条链上*/
struct list_head list; /*count the number of times this probe was temporarily disarmed */
unsigned long nmissed; /* location of the probe point */
/*被探测的目标地址,要注意的是,只能是addr或是symbol_name其中一个填入了值,如果两个都填入,在注册这个探头的时候就会出现错误-21非法符号*/
kprobe_opcode_t *addr; /* Allow user to indicate symbol name of the probe point */
/*symblo_name的存在,允许用户指定函数名而非确定的地址,我们在设置的时候就可以直接设置函数名,而有内核函数kallsyms_lookup_name("xx")去获取具体的函数地址*/
const char *symbol_name; /* Offset into the symbol */
/*
如果被探测点为函数内部某个指令,需要使用addr + offset的方式
从这点也可以看出,kprobe可以hook在内核中的任何位置
*/
unsigned int offset; /* Called before addr is executed. */
/*探测函数,在目标探测点执行之前调用*/
kprobe_pre_handler_t pre_handler; /* Called after addr is executed, unless... */
/*探测函数,在目标探测点执行之后调用*/
kprobe_post_handler_t post_handler; /*
...called if executing addr causes a fault (eg. page fault).
Return 1 if it handled fault, otherwise kernel will see it.
*/
kprobe_fault_handler_t fault_handler; /*
called if breakpoint trap occurs in probe handler.
Return 1 if it handled break, otherwise kernel will see it.
*/
kprobe_break_handler_t break_handler; /*opcode 以及 ainsn 用于保存被替换的指令码*/
/* Saved opcode (which has been replaced with breakpoint) */
kprobe_opcode_t opcode; /* copy of the original instruction */
struct arch_specific_insn ainsn; /*
Indicates various status flags.
Protected by kprobe_mutex after this kprobe is registered.
*/
u32 flags;
};

0x3: struct jprobe

我们知道,jprobe是对kprobes的一层功能上的封装,这点从数据结构上也能看出来

struct jprobe
{
struct kprobe kp; /*
定义的probe程序,要注意的是
1. 注册进去的探头程序应该和被注册的函数的参数列表一致
2. 我们在设置函数指针的时候需要使用(kprobe_opcode_t *)进行强制转换
*/
void *entry;
}

0x4: struct kretprobe

kretprobe注册(register_kretprobe)的时候需要传递这个结构体

struct kretprobe
{
struct kprobe kp; //注册的回调函数,handler指定探测点的处理函数
kretprobe_handler_t handler; //注册的预处理回调函数,类似于kprobes中的pre_handler()
kretprobe_handler_t entry_handler; //maxactive指定可以同时运行的最大处理函数实例数,它应当被恰当设置,否则可能丢失探测点的某些运行
int maxactive;
int nmissed; //指示kretprobe需要为回调监控预留多少内存空间
size_t data_size;
struct hlist_head free_instances;
raw_spinlock_t lock;
};

0x5: struct kretprobe_instance

在kretprobe的注册处理函数(.handler)中我们可以拿到这个结构体

struct kretprobe_instance
{
struct hlist_node hlist; //指向相应的kretprobe_instance变量(就是我们在register_kretprobe时传入的参数)
struct kretprobe *rp; //返回地址
kprobe_opcode_t *ret_addr; //指向相应的task_struct
struct task_struct *task;
char data[];
};

0x6: struct kretprobe_blackpoint 、struct kprobe_blacklist_entry

struct kretprobe_blackpoint
{
const char *name;
void *addr;
}; struct kprobe_blacklist_entry
{
struct list_head list;
unsigned long start_addr;
unsigned long end_addr;
};

0x7: struct linux_binprm

在Linux内核中,每种二进制格式都表示为struct linux_binprm数据结构,Linux支持的二进制格式有

. flat_format: 平坦格式
用于没有内存管理单元(MMU)的嵌入式CPU上,为节省空间,可执行文件中的数据还可以压缩(如果内核可提供zlib支持) . script_format: 伪格式
用于运行使用#!机制的脚本,检查文件的第一行,内核即知道使用何种解释器,启动适当的应用程序即可(例如: #! /usr/bin/perl 则启动perl) . misc_format: 伪格式
用于启动需要外部解释器的应用程序,与#!机制相比,解释器无须显示指定,而可以通过特定的文件标识符(后缀、文件头..),例如该格式用于执行java字节码或用wine运行windows程序 . elf_format:
这是一种与计算机和体系结构无关的格式,可用于32/64位,它是linux的标准格式 . elf_fdpic_format: ELF格式变体
提供了针对没有MMU系统的特别特性 . irix_format: ELF格式变体
提供了特定于irix的特性 . som_format:
在PA-Risc计算机上使用,特定于HP-UX的格式 . aout_format:
a.out是引入ELF之前linux的标准格式

/source/include/linux/binfmts.h

/*
* This structure is used to hold the arguments that are used when loading binaries.
*/
struct linux_binprm
{
//保存可执行文件的头128字节
char buf[BINPRM_BUF_SIZE];
#ifdef CONFIG_MMU
struct vm_area_struct *vma;
unsigned long vma_pages;
#else
# define MAX_ARG_PAGES
struct page *page[MAX_ARG_PAGES];
#endif
struct mm_struct *mm;
/*
当前内存页最高地址
current top of mem
*/
unsigned long p;
unsigned int
cred_prepared:,/* true if creds already prepared (multiple
* preps happen for interpreters) */
cap_effective:;/* true if has elevated effective capabilities,
* false if not; except for init which inherits
* its parent's caps anyway */
#ifdef __alpha__
unsigned int taso:;
#endif
unsigned int recursion_depth;
//要执行的文件
struct file * file;
//new credentials
struct cred *cred;
int unsafe; /* how unsafe this exec is (mask of LSM_UNSAFE_*) */
unsigned int per_clear; /* bits to clear in current->personality */
//命令行参数和环境变量数目
int argc, envc;
/*
要执行的文件的名称
Name of binary as seen by procps
*/
char * filename;
/*
要执行的文件的真实名称,通常和filename相同
Name of the binary really executed. Most of the time same as filename, but could be different for binfmt_{misc,script}
*/
char * interp;
unsigned interp_flags;
unsigned interp_data;
unsigned long loader, exec;
};

0x7: struct linux_binfmt

/source/include/linux/binfmts.h

/*
* This structure defines the functions that are used to load the binary formats that
* linux accepts.
*/
struct linux_binfmt
{
//链表结构
struct list_head lh;
struct module *module;
//装入二进制代码
int (*load_binary)(struct linux_binprm *, struct pt_regs * regs); //装入公用库
int (*load_shlib)(struct file *); int (*core_dump)(long signr, struct pt_regs *regs, struct file *file, unsigned long limit);
unsigned long min_coredump; /* minimal dump size */
int hasvdso;
};

6. 系统网络状态相关的数据结构

0x1: struct ifconf

\linux-2.6.32.63\include\linux\if.h

/* Structure used in SIOCGIFCONF request.  Used to retrieve interface
configuration for machine (useful for programs which must know all
networks accessible).
*/
struct ifconf
{
int ifc_len; // Size of buffer.
union
{
__caddr_t ifcu_buf;
struct ifreq *ifcu_req; //保存每块网卡的具体信息的结构体数组
} ifc_ifcu;
};
#define ifc_buf ifc_ifcu.ifcu_buf /* Buffer address. */
#define ifc_req ifc_ifcu.ifcu_req /* Array of structures. */
#define _IOT_ifconf _IOT(_IOTS(struct ifconf),1,0,0,0,0) /* not right */

0x2: struct ifreq

\linux-2.6.32.63\include\linux\if.h

/*
* Interface request structure used for socket
* ioctl's. All interface ioctl's must have parameter
* definitions which begin with ifr_name. The
* remainder may be interface specific.
*/
struct ifreq
{
#define IFHWADDRLEN 6
union
{
char ifrn_name[IFNAMSIZ]; /* if name, e.g. "en0" */
} ifr_ifrn; //描述套接口的地址结构
union
{
struct sockaddr ifru_addr;
struct sockaddr ifru_dstaddr;
struct sockaddr ifru_broadaddr;
struct sockaddr ifru_netmask;
struct sockaddr ifru_hwaddr;
short ifru_flags;
int ifru_ivalue;
int ifru_mtu;
struct ifmap ifru_map;
char ifru_slave[IFNAMSIZ]; /* Just fits the size */
char ifru_newname[IFNAMSIZ];
void __user * ifru_data;
struct if_settings ifru_settings;
} ifr_ifru;
};
#define ifr_name ifr_ifrn.ifrn_name /* interface name */
#define ifr_hwaddr ifr_ifru.ifru_hwaddr /* MAC address */
#define ifr_addr ifr_ifru.ifru_addr /* address */
#define ifr_dstaddr ifr_ifru.ifru_dstaddr /* other end of p-p lnk */
#define ifr_broadaddr ifr_ifru.ifru_broadaddr /* broadcast address */
#define ifr_netmask ifr_ifru.ifru_netmask /* interface net mask */
#define ifr_flags ifr_ifru.ifru_flags /* flags */
#define ifr_metric ifr_ifru.ifru_ivalue /* metric */
#define ifr_mtu ifr_ifru.ifru_mtu /* mtu */
#define ifr_map ifr_ifru.ifru_map /* device map */
#define ifr_slave ifr_ifru.ifru_slave /* slave device */
#define ifr_data ifr_ifru.ifru_data /* for use by interface */
#define ifr_ifindex ifr_ifru.ifru_ivalue /* interface index */
#define ifr_bandwidth ifr_ifru.ifru_ivalue /* link bandwidth */
#define ifr_qlen ifr_ifru.ifru_ivalue /* Queue length */
#define ifr_newname ifr_ifru.ifru_newname /* New name */
#define ifr_settings ifr_ifru.ifru_settings /* Device/proto settings*/

linux内核数据结构学习总结

code

#include <arpa/inet.h>
#include <net/if.h>
#include <net/if_arp.h>
#include <netinet/in.h>
#include <stdio.h>
#include <sys/ioctl.h>
#include <sys/socket.h>
#include <unistd.h> #define MAXINTERFACES 16 /* 最大接口数 */ int fd; /* 套接字 */
int if_len; /* 接口数量 */
struct ifreq buf[MAXINTERFACES]; /* ifreq结构数组 */
struct ifconf ifc; /* ifconf结构 */ int main(argc, argv)
{
/* 建立IPv4的UDP套接字fd */
if ((fd = socket(AF_INET, SOCK_DGRAM, )) == -)
{
perror("socket(AF_INET, SOCK_DGRAM, 0)");
return -;
} /* 初始化ifconf结构 */
ifc.ifc_len = sizeof(buf);
ifc.ifc_buf = (caddr_t) buf; /* 获得接口列表 */
if (ioctl(fd, SIOCGIFCONF, (char *) &ifc) == -)
{
perror("SIOCGIFCONF ioctl");
return -;
} if_len = ifc.ifc_len / sizeof(struct ifreq); /* 接口数量 */
printf("接口数量:%d/n/n", if_len); while (if_len– > ) /* 遍历每个接口 */
{
printf("接口:%s/n", buf[if_len].ifr_name); /* 接口名称 */ /* 获得接口标志 */
if (!(ioctl(fd, SIOCGIFFLAGS, (char *) &buf[if_len])))
{
/* 接口状态 */
if (buf[if_len].ifr_flags & IFF_UP)
{
printf("接口状态: UP/n");
}
else
{
printf("接口状态: DOWN/n");
}
}
else
{
char str[];
sprintf(str, "SIOCGIFFLAGS ioctl %s", buf[if_len].ifr_name);
perror(str);
} /* IP地址 */
if (!(ioctl(fd, SIOCGIFADDR, (char *) &buf[if_len])))
{
printf("IP地址:%s/n",
(char*)inet_ntoa(((struct sockaddr_in*) (&buf[if_len].ifr_addr))->sin_addr));
}
else
{
char str[];
sprintf(str, "SIOCGIFADDR ioctl %s", buf[if_len].ifr_name);
perror(str);
} /* 子网掩码 */
if (!(ioctl(fd, SIOCGIFNETMASK, (char *) &buf[if_len])))
{
printf("子网掩码:%s/n",
(char*)inet_ntoa(((struct sockaddr_in*) (&buf[if_len].ifr_addr))->sin_addr));
}
else
{
char str[];
sprintf(str, "SIOCGIFADDR ioctl %s", buf[if_len].ifr_name);
perror(str);
} /* 广播地址 */
if (!(ioctl(fd, SIOCGIFBRDADDR, (char *) &buf[if_len])))
{
printf("广播地址:%s/n",
(char*)inet_ntoa(((struct sockaddr_in*) (&buf[if_len].ifr_addr))->sin_addr));
}
else
{
char str[];
sprintf(str, "SIOCGIFADDR ioctl %s", buf[if_len].ifr_name);
perror(str);
} /*MAC地址 */
if (!(ioctl(fd, SIOCGIFHWADDR, (char *) &buf[if_len])))
{
printf("MAC地址:%02x:%02x:%02x:%02x:%02x:%02x/n/n",
(unsigned char) buf[if_len].ifr_hwaddr.sa_data[],
(unsigned char) buf[if_len].ifr_hwaddr.sa_data[],
(unsigned char) buf[if_len].ifr_hwaddr.sa_data[],
(unsigned char) buf[if_len].ifr_hwaddr.sa_data[],
(unsigned char) buf[if_len].ifr_hwaddr.sa_data[],
(unsigned char) buf[if_len].ifr_hwaddr.sa_data[]);
}
else
{
char str[];
sprintf(str, "SIOCGIFHWADDR ioctl %s", buf[if_len].ifr_name);
perror(str);
}
}//–while end //关闭socket
close(fd);
return ;
}

Relevant Link:

http://blog.csdn.net/jk110333/article/details/8832077
http://www.360doc.com/content/12/0314/15/5782959_194281431.shtml

0x3: struct socket

\linux-2.6.32.63\include\linux\net.h

struct socket
{
/*
1. state:socket状态
typedef enum
{
SS_FREE = 0, //该socket还未分配
SS_UNCONNECTED, //未连向任何socket
SS_CONNECTING, //正在连接过程中
SS_CONNECTED, //已连向一个socket
SS_DISCONNECTING //正在断开连接的过程中
}socket_state;
*/
socket_state state; kmemcheck_bitfield_begin(type);
/*
2. type:socket类型
enum sock_type
{
SOCK_STREAM = 1, //stream (connection) socket
SOCK_DGRAM = 2, //datagram (conn.less) socket
SOCK_RAW = 3, //raw socket
SOCK_RDM = 4, //reliably-delivered message
SOCK_SEQPACKET = 5,//sequential packet socket
SOCK_DCCP = 6, //Datagram Congestion Control Protocol socket
SOCK_PACKET = 10, //linux specific way of getting packets at the dev level.
};
*/
short type;
kmemcheck_bitfield_end(type); /*
3. flags:socket标志
1) #define SOCK_ASYNC_NOSPACE 0
2) #define SOCK_ASYNC_WAITDATA 1
3) #define SOCK_NOSPACE 2
4) #define SOCK_PASSCRED 3
5) #define SOCK_PASSSEC 4
*/
unsigned long flags; //fasync_list is used when processes have chosen asynchronous handling of this 'file'
struct fasync_struct *fasync_list;
//4. Not used by sockets in AF_INET
wait_queue_head_t wait; //5. file holds a reference to the primary file structure associated with this socket
struct file *file; /*
6. sock
This is very important, as it contains most of the useful state associated with a socket.
*/
struct sock *sk; //7. ops:定义了当前socket的处理函数
const struct proto_ops *ops;
};

0x4: struct sock

struct sock本身不能获取到当前socket的IP、Port相关信息,要通过inet_sk()进行转换得到struct inet_sock才能得到IP、Port相关信息。但struct sock保存和当前socket大量的元描述信息

\linux-2.6.32.63\include\net\sock.h

struct sock
{
/*
* Now struct inet_timewait_sock also uses sock_common, so please just
* don't add nothing before this first member (__sk_common) --acme
*/
//shared layout with inet_timewait_sock
struct sock_common __sk_common;
#define sk_node __sk_common.skc_node
#define sk_nulls_node __sk_common.skc_nulls_node
#define sk_refcnt __sk_common.skc_refcnt #define sk_copy_start __sk_common.skc_hash
#define sk_hash __sk_common.skc_hash
#define sk_family __sk_common.skc_family
#define sk_state __sk_common.skc_state
#define sk_reuse __sk_common.skc_reuse
#define sk_bound_dev_if __sk_common.skc_bound_dev_if
#define sk_bind_node __sk_common.skc_bind_node
#define sk_prot __sk_common.skc_prot
#define sk_net __sk_common.skc_net kmemcheck_bitfield_begin(flags);
//mask of %SEND_SHUTDOWN and/or %RCV_SHUTDOWN
unsigned int sk_shutdown : ,
//%SO_NO_CHECK setting, wether or not checkup packets
sk_no_check : ,
//%SO_SNDBUF and %SO_RCVBUF settings
sk_userlocks : ,
//which protocol this socket belongs in this network family
sk_protocol : ,
//socket type (%SOCK_STREAM, etc)
sk_type : ;
kmemcheck_bitfield_end(flags);
//size of receive buffer in bytes
int sk_rcvbuf;
//synchronizer
socket_lock_t sk_lock;
/*
* The backlog queue is special, it is always used with
* the per-socket spinlock held and requires low latency
* access. Therefore we special case it's implementation.
*/
struct
{
struct sk_buff *head;
struct sk_buff *tail;
} sk_backlog;
//sock wait queue
wait_queue_head_t *sk_sleep;
//destination cache
struct dst_entry *sk_dst_cache;
#ifdef CONFIG_XFRM
//flow policy
struct xfrm_policy *sk_policy[];
#endif
//destination cache lock
rwlock_t sk_dst_lock;
//receive queue bytes committed
atomic_t sk_rmem_alloc;
//transmit queue bytes committed
atomic_t sk_wmem_alloc;
//"o" is "option" or "other"
atomic_t sk_omem_alloc;
//size of send buffer in bytes
int sk_sndbuf;
//incoming packets
struct sk_buff_head sk_receive_queue;
//Packet sending queue
struct sk_buff_head sk_write_queue;
#ifdef CONFIG_NET_DMA
//DMA copied packets
struct sk_buff_head sk_async_wait_queue;
#endif
//persistent queue size
int sk_wmem_queued;
//space allocated forward
int sk_forward_alloc;
//allocation mode
gfp_t sk_allocation;
//route capabilities (e.g. %NETIF_F_TSO)
int sk_route_caps;
//GSO type (e.g. %SKB_GSO_TCPV4)
int sk_gso_type;
//Maximum GSO segment size to build
unsigned int sk_gso_max_size;
//%SO_RCVLOWAT setting
int sk_rcvlowat;
/*
1. %SO_LINGER (l_onoff)
2. %SO_BROADCAST
3. %SO_KEEPALIVE
4. %SO_OOBINLINE settings
5. %SO_TIMESTAMPING settings
*/
unsigned long sk_flags;
//%SO_LINGER l_linger setting
unsigned long sk_lingertime;
//rarely used
struct sk_buff_head sk_error_queue;
//sk_prot of original sock creator (see ipv6_setsockopt, IPV6_ADDRFORM for instance)
struct proto *sk_prot_creator;
//used with the callbacks in the end of this struct
rwlock_t sk_callback_lock;
//last error
int sk_err,
//rrors that don't cause failure but are the cause of a persistent failure not just 'timed out'
sk_err_soft;
//raw/udp drops counter
atomic_t sk_drops;
//always used with the per-socket spinlock held
//current listen backlog
unsigned short sk_ack_backlog;
//listen backlog set in listen()
unsigned short sk_max_ack_backlog;
//%SO_PRIORITY setting
__u32 sk_priority;
//%SO_PEERCRED setting
struct ucred sk_peercred;
//%SO_RCVTIMEO setting
long sk_rcvtimeo;
//%SO_SNDTIMEO setting
long sk_sndtimeo;
//socket filtering instructions
struct sk_filter *sk_filter;
//private area, net family specific, when not using slab
void *sk_protinfo;
//sock cleanup timer
struct timer_list sk_timer;
//time stamp of last packet received
ktime_t sk_stamp;
//Identd and reporting IO signals
struct socket *sk_socket;
//RPC layer private data
void *sk_user_data;
//cached page for sendmsg
struct page *sk_sndmsg_page;
//front of stuff to transmit
struct sk_buff *sk_send_head;
//cached offset for sendmsg
__u32 sk_sndmsg_off;
//a write to stream socket waits to start
int sk_write_pending;
#ifdef CONFIG_SECURITY
//used by security modules
void *sk_security;
#endif
//generic packet mark
__u32 sk_mark;
/* XXX 4 bytes hole on 64 bit */
//callback to indicate change in the state of the sock
void (*sk_state_change)(struct sock *sk);
//callback to indicate there is data to be processed
void (*sk_data_ready)(struct sock *sk, int bytes);
//callback to indicate there is bf sending space available
void (*sk_write_space)(struct sock *sk);
//callback to indicate errors (e.g. %MSG_ERRQUEUE)
void (*sk_error_report)(struct sock *sk);
//callback to process the backlog
int (*sk_backlog_rcv)(struct sock *sk, struct sk_buff *skb);
//called at sock freeing time, i.e. when all refcnt == 0
void (*sk_destruct)(struct sock *sk);
}

0x5: struct proto_ops

\linux-2.6.32.63\include\linux\net.h

struct proto_ops
{
int family;
struct module *owner;
int (*release) (struct socket *sock);
int (*bind) (struct socket *sock, struct sockaddr *myaddr, int sockaddr_len);
int (*connect) (struct socket *sock, struct sockaddr *vaddr, int sockaddr_len, int flags);
int (*socketpair)(struct socket *sock1, struct socket *sock2);
int (*accept) (struct socket *sock, struct socket *newsock, int flags);
int (*getname) (struct socket *sock, struct sockaddr *addr, int *sockaddr_len, int peer);
unsigned int (*poll) (struct file *file, struct socket *sock, struct poll_table_struct *wait);
int (*ioctl) (struct socket *sock, unsigned int cmd, unsigned long arg);
int (*compat_ioctl) (struct socket *sock, unsigned int cmd, unsigned long arg);
int (*listen) (struct socket *sock, int len);
int (*shutdown) (struct socket *sock, int flags);
int (*setsockopt)(struct socket *sock, int level, int optname, char __user *optval, unsigned int optlen);
int (*getsockopt)(struct socket *sock, int level, int optname, char __user *optval, int __user *optlen);
int (*compat_setsockopt)(struct socket *sock, int level, int optname, char __user *optval, unsigned int optlen);
int (*compat_getsockopt)(struct socket *sock, int level, int optname, char __user *optval, int __user *optlen);
int (*sendmsg) (struct kiocb *iocb, struct socket *sock, struct msghdr *m, size_t total_len);
/* Notes for implementing recvmsg:
* ===============================
* msg->msg_namelen should get updated by the recvmsg handlers
* iff msg_name != NULL. It is by default 0 to prevent
* returning uninitialized memory to user space. The recvfrom
* handlers can assume that msg.msg_name is either NULL or has
* a minimum size of sizeof(struct sockaddr_storage).
*/
int (*recvmsg) (struct kiocb *iocb, struct socket *sock, struct msghdr *m, size_t total_len, int flags);
int (*mmap) (struct file *file, struct socket *sock, struct vm_area_struct * vma);
ssize_t (*sendpage) (struct socket *sock, struct page *page, int offset, size_t size, int flags);
ssize_t (*splice_read)(struct socket *sock, loff_t *ppos, struct pipe_inode_info *pipe, size_t len, unsigned int flags);
};

0x6: struct inet_sock

在实际编程中,我们需要使用inet_sk(),将"struct sock"结果强制转换为"struct inet_sock"之后,才可以从中取出我们想要的IP、Port等信息

\linux-2.6.32.63\include\net\inet_sock.h

static inline struct inet_sock *inet_sk(const struct sock *sk)
{
return (struct inet_sock *)sk;
}

inet_sock的结构体定义如下

struct inet_sock
{
/* sk and pinet6 has to be the first two members of inet_sock */
//ancestor class
struct sock sk;
#if defined(CONFIG_IPV6) || defined(CONFIG_IPV6_MODULE)
//pointer to IPv6 control block
struct ipv6_pinfo *pinet6;
#endif
/* Socket demultiplex comparisons on incoming packets. */
//Foreign IPv4 addr
__be32 daddr;
//Bound local IPv4 addr
__be32 rcv_saddr;
//Destination port
__be16 dport;
//Local port
__u16 num;
//Sending source
__be32 saddr;
//Unicast TTL
__s16 uc_ttl;
__u16 cmsg_flags;
struct ip_options_rcu *inet_opt;
//Source port
__be16 sport;
//ID counter for DF pkts
__u16 id;
//TOS
__u8 tos;
//Multicasting TTL
__u8 mc_ttl;
__u8 pmtudisc;
__u8 recverr:,
//is this an inet_connection_sock?
is_icsk:,
freebind:,
hdrincl:,
mc_loop:,
transparent:,
mc_all:;
//Multicast device index
int mc_index;
__be32 mc_addr;
struct ip_mc_socklist *mc_list;
//info to build ip hdr on each ip frag while socket is corked
struct
{
unsigned int flags;
unsigned int fragsize;
struct ip_options *opt;
struct dst_entry *dst;
int length; /* Total length of all frames */
__be32 addr;
struct flowi fl;
} cork;
};

0x7: struct sockaddr

struct sockaddr
{
// address family, AF_xxx
unsigned short sa_family; // 14 bytes of protocol address
char sa_data[];
}; /* Structure describing an Internet (IP) socket address. */
#define __SOCK_SIZE__ 16 /* sizeof(struct sockaddr) */
struct sockaddr_in
{
/* Address family */
sa_family_t sin_family; /* Port number */
__be16 sin_port; /* Internet address */
struct in_addr sin_addr; /* Pad to size of `struct sockaddr'. */
unsigned char __pad[__SOCK_SIZE__ - sizeof(short int) - izeof(unsigned short int) - sizeof(struct in_addr)];
};
#define sin_zero __pad /* for BSD UNIX comp. -FvK */ /* Internet address. */
struct in_addr
{
__be32 s_addr;
};

7. 系统内存相关的数据结构

0x1: struct mm_struct

指向进程所拥有的内存描述符,保存了进程的内存管理信息

struct mm_struct
{
struct vm_area_struct * mmap; /* list of VMAs */
struct rb_root mm_rb;
struct vm_area_struct * mmap_cache; /* last find_vma result */
unsigned long (*get_unmapped_area) (struct file *filp, unsigned long addr, unsigned long len, unsigned long pgoff, unsigned long flags);
void (*unmap_area) (struct mm_struct *mm, unsigned long addr);
unsigned long mmap_base; /* base of mmap area */
unsigned long task_size; /* size of task vm space */
unsigned long cached_hole_size; /* if non-zero, the largest hole below free_area_cache */
unsigned long free_area_cache; /* first hole of size cached_hole_size or larger */
pgd_t * pgd;
atomic_t mm_users; /* How many users with user space? */
atomic_t mm_count; /* How many references to "struct mm_struct" (users count as 1) */
int map_count; /* number of VMAs */
struct rw_semaphore mmap_sem;
spinlock_t page_table_lock; /* Protects page tables and some counters */ /* List of maybe swapped mm's. These are globally strung together off init_mm.mmlist, and are protected by mmlist_lock */
struct list_head mmlist;
/* Special counters, in some configurations protected by the
* page_table_lock, in other configurations by being atomic.
*/
mm_counter_t _file_rss;
mm_counter_t _anon_rss; unsigned long hiwater_rss; /* High-watermark of RSS usage */
unsigned long hiwater_vm; /* High-water virtual memory usage */ unsigned long total_vm, locked_vm, shared_vm, exec_vm;
unsigned long stack_vm, reserved_vm, def_flags, nr_ptes;
unsigned long start_code, end_code, start_data, end_data;
unsigned long start_brk, brk, start_stack;
unsigned long arg_start, arg_end, env_start, env_end; unsigned long saved_auxv[AT_VECTOR_SIZE]; /* for /proc/PID/auxv */ struct linux_binfmt *binfmt; cpumask_t cpu_vm_mask; /* Architecture-specific MM context */
mm_context_t context; /* Swap token stuff */
/*
* Last value of global fault stamp as seen by this process.
* In other words, this value gives an indication of how long
* it has been since this task got the token.
* Look at mm/thrash.c
*/
unsigned int faultstamp;
unsigned int token_priority;
unsigned int last_interval; unsigned long flags; /* Must use atomic bitops to access the bits */ struct core_state *core_state; /* coredumping support */
#ifdef CONFIG_AIO
spinlock_t ioctx_lock;
struct hlist_head ioctx_list;
#endif
#ifdef CONFIG_MM_OWNER
/*
* "owner" points to a task that is regarded as the canonical
* user/owner of this mm. All of the following must be true in
* order for it to be changed:
*
* current == mm->owner
* current->mm != mm
* new_owner->mm == mm
* new_owner->alloc_lock is held
*/
struct task_struct *owner;
#endif #ifdef CONFIG_PROC_FS
/* store ref to file /proc/<pid>/exe symlink points to */
struct file *exe_file;
unsigned long num_exe_file_vmas;
#endif
#ifdef CONFIG_MMU_NOTIFIER
struct mmu_notifier_mm *mmu_notifier_mm;
#endif
};

0x2: struct vm_area_struct

进程虚拟内存的每个区域表示为struct vm_area_struct的一个实例

struct vm_area_struct
{
/*
associated mm_struct
vm_mm是一个反向指针,指向该区域所属的mm_struct实例
*/
struct mm_struct *vm_mm; /* VMA start, inclusive vm_mm内的起始地址 */
unsigned long vm_start;
/* VMA end , exclusive 在vm_mm内结束地址之后的第一个字节的地址 */
unsigned long vm_end; /*
list of VMA's
进程所有vm_area_struct实例的链表是通过vm_next实现的
各进程的虚拟内存区域链表,按地址排序
*/
struct vm_area_struct *vm_next; /*
access permissions
该虚拟内存区域的访问权限
1) _PAGE_READ
2) _PAGE_WRITE
3) _PAGE_EXECUTE
*/
pgprot_t vm_page_prot; /*
flags
vm_flags是描述该区域的一组标志,用于定义区域性质,这些都是在<mm.h>中声明的预处理器常数
*/
unsigned long vm_flags;
struct rb_node vm_rb; /* VMA's node in the tree */ /*
对于有地址空间和后备存储器的区域来说:
shared连接到address_space->i_mmap优先树
或连接到悬挂在优先树结点之外、类似的一组虚拟内存区的链表
或连接到ddress_space->i_mmap_nonlinear链表中的虚拟内存区域
*/
union
{ /* links to address_space->i_mmap or i_mmap_nonlinear */
struct
{
struct list_head list;
void *parent;
struct vm_area_struct *head;
} vm_set;
struct prio_tree_node prio_tree_node;
} shared; /*
在文件的某一页经过写时复制之后,文件的MAP_PRIVATE虚拟内存区域可能同时在i_mmap树和anon_vma链表中,MAP_SHARED虚拟内存区域只能在i_mmap树中
匿名的MAP_PRIVATE、栈或brk虚拟内存区域(file指针为NULL)只能处于anon_vma链表中
*/
struct list_head anon_vma_node; /* anon_vma entry 对该成员的访问通过anon_vma->lock串行化 */
struct anon_vma *anon_vma; /* anonymous VMA object 对该成员的访问通过page_table_lock串行化 */
struct vm_operations_struct *vm_ops; /* associated ops 用于处理该结构的各个函数指针 */
unsigned long vm_pgoff; /* offset within file 后备存储器的有关信息 */
struct file *vm_file; /* mapped file, if any 映射到的文件(可能是NULL) */
void *vm_private_data; /* private data vm_pte(即共享内存) */
};

vm_flags是描述该区域的一组标志,用于定义区域性质,这些都是在<mm.h>中声明的预处理器常数
\linux-2.6.32.63\include\linux\mm.h

#define VM_READ        0x00000001    /* currently active flags */
#define VM_WRITE 0x00000002
#define VM_EXEC 0x00000004
#define VM_SHARED 0x00000008 /* mprotect() hardcodes VM_MAYREAD >> 4 == VM_READ, and so for r/w/x bits. */
#define VM_MAYREAD 0x00000010 /* limits for mprotect() etc */
#define VM_MAYWRITE 0x00000020
#define VM_MAYEXEC 0x00000040
#define VM_MAYSHARE 0x00000080 /*
VM_GROWSDOWN、VM_GROWSUP表示一个区域是否可以向下、向上扩展
1. 由于堆自下而上增长,其区域需要设置VM_GROWSUP
2. 栈自顶向下增长,对该区域设置VM_GROWSDOWN
*/
#define VM_GROWSDOWN 0x00000100 /* general info on the segment */
#if defined(CONFIG_STACK_GROWSUP) || defined(CONFIG_IA64)
#define VM_GROWSUP 0x00000200
#else
#define VM_GROWSUP 0x00000000
#endif
#define VM_PFNMAP 0x00000400 /* Page-ranges managed without "struct page", just pure PFN */
#define VM_DENYWRITE 0x00000800 /* ETXTBSY on write attempts.. */ #define VM_EXECUTABLE 0x00001000
#define VM_LOCKED 0x00002000
#define VM_IO 0x00004000 /* Memory mapped I/O or similar */ /*
Used by sys_madvise()
由于区域很可能从头到尾顺序读取,则设置VM_SEQ_READ。VM_RAND_READ指定了读取可能是随机的
这两个标志用于"提示"内存管理子系统和块设备层,以优化其性能,例如如果访问是顺序的,则启用页的预读
*/
#define VM_SEQ_READ 0x00008000 /* App will access data sequentially */
#define VM_RAND_READ 0x00010000 /* App will not benefit from clustered reads */ #define VM_DONTCOPY 0x00020000 /* Do not copy this vma on fork 相关的区域在fork系统调用执行时不复制 */
#define VM_DONTEXPAND 0x00040000 /* Cannot expand with mremap() 禁止区域通过mremap系统调用扩展 */
#define VM_RESERVED 0x00080000 /* Count as reserved_vm like IO */
#define VM_ACCOUNT 0x00100000 /* Is a VM accounted object VM_ACCOUNT指定区域是否被归入overcommit特性的计算中 */
#define VM_NORESERVE 0x00200000 /* should the VM suppress accounting */
#define VM_HUGETLB 0x00400000 /* Huge TLB Page VM 如果区域是基于某些体系结构支持的巨型页,则设置VM_HUGETLB */
#define VM_NONLINEAR 0x00800000 /* Is non-linear (remap_file_pages) */
#define VM_MAPPED_COPY 0x01000000 /* T if mapped copy of data (nommu mmap) */
#define VM_INSERTPAGE 0x02000000 /* The vma has had "vm_insert_page()" done on it */
#define VM_ALWAYSDUMP 0x04000000 /* Always include in core dumps */ #define VM_CAN_NONLINEAR 0x08000000 /* Has ->fault & does nonlinear pages */
#define VM_MIXEDMAP 0x10000000 /* Can contain "struct page" and pure PFN pages */
#define VM_SAO 0x20000000 /* Strong Access Ordering (powerpc) */
#define VM_PFN_AT_MMAP 0x40000000 /* PFNMAP vma that is fully mapped at mmap time */
#define VM_MERGEABLE 0x80000000 /* KSM may merge identical pages */

这些特性以多种方式限制内存分配

0x3: struct pg_data_t

\linux-2.6.32.63\include\linux\mmzone.h
在NUMA、UMA中,整个内存划分为"结点",每个结点关联到系统中的一个处理器,在内核中表示为pg_data_t的实例,各个内存节点保存在一个单链表中,供内核遍历

typedef struct pglist_data
{
//node_zones是一个数组,包含了结点中的管理区
struct zone node_zones[MAX_NR_ZONES]; //node_zonelists指定了结点及其内存域的列表,node_zonelist中zone的顺序代表了分配内存的顺序,前者分配内存失败将会到后者的区域中分配内存,node_zonelist数组对每种可能的内存域类型都配置了一个独立的数组项,包括类型为zonelist的备用列表
struct zonelist node_zonelists[MAX_ZONELISTS]; //nr_zones保存结点中不同内存域的数目
int nr_zones;
#ifdef CONFIG_FLAT_NODE_MEM_MAP /* means !SPARSEMEM */
/*
node_mem_map指向struct page实例数组的指针,用于描述结点的所有物理内存页,它包含了结点中所有内存域的页
每个结点又划分为"内存域",是内存的进一步划分,各个内存域都关联了一个数组,用来组织属于该内存域的物理内存页(页帧),对每个页帧,都分配一个struct page实例以及所需的管理数据
*/
struct page *node_mem_map;
#ifdef CONFIG_CGROUP_MEM_RES_CTLR
struct page_cgroup *node_page_cgroup;
#endif
#endif
//在系统启动期间,内存管理子系统初始化之前,内核也需要使用内存(必须保留部分内存用于初始化内存管理子系统),为了解决这个问题,内核使用了"自举内存分配器(boot memory allocator)",bdata指向自举内存分配器数据结构的实例
struct bootmem_data *bdata;
#ifdef CONFIG_MEMORY_HOTPLUG
/*
* Must be held any time you expect node_start_pfn, node_present_pages
* or node_spanned_pages stay constant. Holding this will also
* guarantee that any pfn_valid() stays that way.
*
* Nests above zone->lock and zone->size_seqlock.
*/
spinlock_t node_size_lock;
#endif
/*
node_start_pfn是该NUMA结点第一个页帧的逻辑编号,系统中所有结点的页帧是依次编号的,每个页帧的号码都是全局唯一的(不单单是结点内唯一)
node_start_pfn在UMA系统中总是0,因为其中只有一个结点,因此其第一个页帧编号总是0
*/
unsigned long node_start_pfn;
/*
total number of physical pages
node_present_pages指定了结点中页帧的总数目
*/
unsigned long node_present_pages;
/*
total size of physical page range, including holes
node_spanned_pages给出了该结点以页帧为单位计算的长度 node_present_pages、node_spanned_pages的值不一定相同,因为结点中可能有一些空洞,并不对应真正的页帧
*/
unsigned long node_spanned_pages; //node_id是全局结点ID,系统中的NUMA结点都是从0开始编号
int node_id; //kswapd是交换守护进程(swap deamon)的等待队列,在将页帧换出时会用到
wait_queue_head_t kswapd_wait; //kswapd指向负责该结点的交换守护进程的task_strcut
struct task_struct *kswapd; //kswapd_max_order用于页交换子系统的实现,用来定义需要释放的区域的长度
int kswapd_max_order;
} pg_data_t;

0x4: struct zone

内存划分为"结点",每个结点关联到系统中的一个处理器,各个结点又划分为"内存域",是内存的进一步划分
\linux-2.6.32.63\include\linux\mmzone.h

struct zone
{
/* Fields commonly accessed by the page allocator 通常由页分配器访问的字段*/ /*
zone watermarks, access with *_wmark_pages(zone) macros
pages_min、pages_high、pages_low是页换出时使用的"水印",如果内存不足,内核可以将页写到硬盘,这3个成员会影响交换守护进程的行为
1. 如果空闲页多于pages_high: 则内存域的状态是理想的
2. 如果空闲页的数目低于pages_low: 则内核开始将页换出到硬盘
3. 如果空闲页的数目低于pages_min: 则页回收工作的压力已经很大了,因为内存域中急需空闲页,内核中有一些机制用于处理这种紧急情况
*/
unsigned long watermark[NR_WMARK]; /*
* When free pages are below this point, additional steps are taken
* when reading the number of free pages to avoid per-cpu counter
* drift allowing watermarks to be breached
*/
unsigned long percpu_drift_mark; /*
We don't know if the memory that we're going to allocate will be freeable or/and it will be released eventually,
so to avoid totally wasting several GB of ram we must reserve some of the lower zone memory (otherwise we risk to run OOM on the lower zones despite there's tons of freeable ram on the higher zones).
This array is recalculated at runtime if the sysctl_lowmem_reserve_ratio sysctl changes.
lowmem_reserve数组分别为各种内存域指定了若干页,用于一些无论如何都不能失败的关键性内存分配,各个内存域的份额根据重要性确定
  lowmem_reserve的计算由setup_per_zone_lowmem_reserve完成,内核迭代系统的所有结点,对每个结点的各个内存域分别计算预留内存最小值,具体的算法是
    内存域中页帧的总数 / sysctl_lowmem_reserve_ratio[zone]
    除数(sysctl_lowmem_reserve_ratio[zone])的默认设置对低端内存域是256,对高端内存域是32
*/
unsigned long lowmem_reserve[MAX_NR_ZONES]; #ifdef CONFIG_NUMA
int node;
/*
* zone reclaim becomes active if more unmapped pages exist.
*/
unsigned long min_unmapped_pages;
unsigned long min_slab_pages;
struct per_cpu_pageset *pageset[NR_CPUS];
#else
/*
pageset是一个数组,用于实现每个CPU的热/冷页帧列表,内核使用这些列表来保存可用于满足实现的"新鲜页"。但冷热帧对应的高速缓存状态不同
1. 热帧: 页帧已经加载到高速缓存中,与在内存中的页相比,因此可以快速访问,故称之为热的
    2. 冷帧: 未缓存的页帧已经不在高速缓存中,故称之为冷的
*/
struct per_cpu_pageset pageset[NR_CPUS];
#endif
/*
* free areas of different sizes
*/
spinlock_t lock;
#ifdef CONFIG_MEMORY_HOTPLUG
/* see spanned/present_pages for more description */
seqlock_t span_seqlock;
#endif
/*
不同长度的空闲区域
free_area是同名数据结构的数组,用于实现伙伴系统,每个数组元素都表示某种固定长度的一些连续内存区,对于包含在每个区域中的空闲内存页的管理,free_area是一个起点
*/
struct free_area free_area[MAX_ORDER]; #ifndef CONFIG_SPARSEMEM
/*
* Flags for a pageblock_nr_pages block. See pageblock-flags.h.
* In SPARSEMEM, this map is stored in struct mem_section
*/
unsigned long *pageblock_flags;
#endif /* CONFIG_SPARSEMEM */ ZONE_PADDING(_pad1_) /*
Fields commonly accessed by the page reclaim scanner
通常由页面回收扫描程序访问的字段
*/
spinlock_t lru_lock;
struct zone_lru
{
struct list_head list;
} lru[NR_LRU_LISTS]; struct zone_reclaim_stat reclaim_stat; /*
since last reclaim
上一次回收以来扫描过的页
*/
unsigned long pages_scanned;
/*
zone flags
内存域标志
*/
unsigned long flags; /*
Zone statistics
内存域统计量,vm_stat维护了大量有关该内存域的统计信息,内核中很多地方都会更新其中的信息
*/
atomic_long_t vm_stat[NR_VM_ZONE_STAT_ITEMS]; /*
prev_priority holds the scanning priority for this zone.
It is defined as the scanning priority at which we achieved our reclaim target at the previous try_to_free_pages() or balance_pgdat() invokation.
We use prev_priority as a measure of how much stress page reclaim is under - it drives the swappiness decision: whether to unmap mapped pages.
Access to both this field is quite racy even on uniprocessor. But it is expected to average out OK.
prev_priority存储了上一次扫描操作扫描该内存域的优先级,扫描操作是由try_to_free_pages进行的,直至释放足够的页帧,扫描会根据该值判断是否换出映射的页
*/
int prev_priority; /*
* The target ratio of ACTIVE_ANON to INACTIVE_ANON pages on
* this zone's LRU. Maintained by the pageout code.
*/
unsigned int inactive_ratio; ZONE_PADDING(_pad2_)
/*
Rarely used or read-mostly fields
很少使用或大多数情况下是只读的字段
*/ /*
1. wait_table: the array holding the hash table
2. wait_table_hash_nr_entries: the size of the hash table array
3. wait_table_bits: wait_table_size == (1 << wait_table_bits) The purpose of all these is to keep track of the people waiting for a page to become available and make them runnable again when possible.
The trouble is that this consumes a lot of space, especially when so few things wait on pages at a given time.
So instead of using per-page waitqueues, we use a waitqueue hash table.
The bucket discipline is to sleep on the same queue when colliding and wake all in that wait queue when removing.
When something wakes, it must check to be sure its page is truly available, a la thundering herd.
The cost of a collision is great, but given the expected load of the table, they should be so rare as to be outweighed by the benefits from the saved space.
__wait_on_page_locked() and unlock_page() in mm/filemap.c, are the primary users of these fields, and in mm/page_alloc.c free_area_init_core() performs the initialization of them. wait_table、wait_table_hash_nr_entries、wait_table_bits实现了一个等待队列,可用于存储等待某一页变为可用的等待进程,进程排成一个队列,等待某些条件,在条件变为真时,内核会通知进程恢复工作
*/
wait_queue_head_t * wait_table;
unsigned long wait_table_hash_nr_entries;
unsigned long wait_table_bits; /*
Discontig memory support fields.
支持不连续内存模型的字段,内存域和父节点之间的关联由zone_pgdat建立,zone_pgdat指向对应的pg_list_data实例(内存结点)
*/
struct pglist_data *zone_pgdat;
/*
zone_start_pfn == zone_start_paddr >> PAGE_SHIFT
zone_start_pfn是内存域第一个页帧的索引
*/
unsigned long zone_start_pfn; /*
zone_start_pfn, spanned_pages and present_pages are all protected by span_seqlock.
It is a seqlock because it has to be read outside of zone->lock, and it is done in the main allocator path. But, it is written quite infrequently. The lock is declared along with zone->lock because it is frequently read in proximity to zone->lock. It's good to give them a chance of being in the same cacheline.
*/
unsigned long spanned_pages; /* total size, including holes 内存域中页的总数,包含空洞*/
unsigned long present_pages; /* amount of memory (excluding holes) 内存域中页的实际数量(除去空洞) */ /*rarely used fields:*/
/*
name是一个字符串,保存该内存域的管用名称,有3个选项可用
1. Normal
2. DMA
3. HighMem
*/
const char *name;
} ____cacheline_internodealigned_in_smp;

该结构比较特殊的方面是它由ZONE_PADDING分隔为几个部分,这是因为对zone结构的访问非常频繁,在多处理器系统上,通常会有不同的CPU试图同时访问结构成员,因此使用了锁防止它们彼此干扰,避免错误和不一致。由于内核对该结构的访问非常频繁,因此会经常性地获取该结构的两个自旋锁zone->lock、zone->lru_lock
因此,如果数据保存在CPU高速缓存中,那么会处理的更快速。而高速缓存分为行,每一行负责不同的内存区,内核使用ZONE_PADDING宏生成"填充"字段添加到结构中,以确保每个自旋锁都处于自身的"缓存行"中,还使用了编译器关键字____cacheline_internodealigned_in_smp,用以实现最优的高速缓存对齐方式

这是内核在基于对CPU底层硬件的深刻理解后做出的优化,通过看似浪费空间的"冗余"操作,提高了CPU的并行处理效率,防止了因为锁导致的等待损耗

0x5: struct page

\linux-2.6.32.63\include\linux\mm_types.h
该结构的格式是体系结构无关的,不依赖于使用的CPU类型,每个页帧都由该结构描述

/*
Each physical page in the system has a struct page associated with it to keep track of whatever it is we are using the page for at the moment.
Note that we have no way to track which tasks are using a page, though if it is a pagecache page, rmap structures can tell us who is mapping it.
*/
struct page
{
/*
Atomic flags, some possibly updated asynchronously
flag存储了体系结构无关的标志,用来存放页的状态属性,每一位代表一种状态,所以至少可以同时表示出32中不同的状态,这些状态定义在linux/page-flags.h中
enum pageflags
{
PG_locked, //Page is locked. Don't touch. 指定了页是否锁定,如果该比特位置位,内核的其他部分不允许访问该页,这防止了内存管理出现竞态条件,例如从硬盘读取数据到页帧时
PG_error, //如果在涉及该页的I/O操作期间发生错误,则PG_error置位
PG_referenced, //PG_referenced、PG_active控制了系统使用该页的活跃程度,在页交换子系统选择换出页时,该信息很重要
PG_uptodate, //PG_uptodate表示页的数据已经从块设备读取,期间没有出错
PG_dirty, //如果与硬盘上的数据相比,页的内容已经改变,则置位PG_dirty。处于性能考虑,页并不在每次修改后立即写回,因此内核使用该标志注明页已经改变,可以在稍后刷出。设置了该标志的页称为脏的(即内存中的数据没有与外存储器介质如硬盘上的数据同步)
PG_lru, //PG_lru有助于实现页面回收和切换,内核使用两个最近最少使用(least recently used lru)链表来区别活动和不活动页,如果页在其中一个链表中,则设置该比特位
PG_active,
PG_slab, //如果页是SLAB分配器的一部分,则设置PG_slab位
PG_owner_priv_1, //Owner use. If pagecache, fs may use
PG_arch_1,
PG_reserved,
PG_private, //If pagecache, has fs-private data: 如果page结构的private成员非空,则必须设置PG_private位,用于I/O的页,可使用该字段将页细分为多个缓冲区
PG_private_2, //If pagecache, has fs aux data
PG_writeback, //Page is under writeback: 如果页的内容处于向块设备回写的过程中,则需要设置PG_writeback位
#ifdef CONFIG_PAGEFLAGS_EXTENDED
PG_head, //A head page
PG_tail, //A tail page
#else
PG_compound, //A compound page: PG_compound表示该页属于一个更大的复合页,复合页由多个相连的普通页组成
#endif
PG_swapcache, //Swap page: swp_entry_t in private: 如果页处于交换缓存,则设置PG_swapcache位,在这种情况下,private包含一个类型为swap_entry_t的项
PG_mappedtodisk, //Has blocks allocated on-disk
PG_reclaim, //To be reclaimed asap: 在可用内存的数量变少时,内核视图周期性地回收页,即剔除不活动、未用的页,在内核决定回收某个特定的页=之后,需要设置PG_reclaim标志通知
PG_buddy, //Page is free, on buddy lists: 如果页空闲且包含在伙伴系统的列表中,则设置PG_buddy位,伙伴系统是页分配机制的核心
PG_swapbacked, //Page is backed by RAM/swap
PG_unevictable, //Page is "unevictable"
#ifdef CONFIG_HAVE_MLOCKED_PAGE_BIT
PG_mlocked, //Page is vma mlocked
#endif
#ifdef CONFIG_ARCH_USES_PG_UNCACHED
PG_uncached, //Page has been mapped as uncached
#endif
#ifdef CONFIG_MEMORY_FAILURE
PG_hwpoison, //hardware poisoned page. Don't touch
#endif
__NR_PAGEFLAGS, PG_checked = PG_owner_priv_1, //Filesystems
PG_fscache = PG_private_2, //page backed by cache //XEN
PG_pinned = PG_owner_priv_1,
PG_savepinned = PG_dirty, //SLOB
PG_slob_free = PG_private, //SLUB
PG_slub_frozen = PG_active,
PG_slub_debug = PG_error,
}; 内核定义了一些标准宏,用于检查页是否设置了某个特定的比特位,或者操作某个比特位,这些宏的名称有一定的模式,这些操作都是原子的
1. PageXXX(page): 会检查页是否设置了PG_XXX位
2. SetPageXXX: 在某个比特位没有设置的情况下,设置该比特位,并返回原值
3. ClearPageXXX: 无条件地清除某个特定的比特位
4. TestClearPageXXX: 清除某个设置的比特位,并返回原值
*/
unsigned long flags; /*
Usage count, see below
_count记录了该页被引用了多少次,_count是一个使用计数,表示内核中引用该页的次数
1. 在其值到达0时,内核就知道page实例当前不使用,因此可以删除
2. 如果其值大于0,该实例绝不会从内存删除
*/
atomic_t _count;
union
{
/*
Count of ptes mapped in mms, to show when page is mapped & limit reverse map searches.
内存管理子系统中映射的页表项计数,用于表示在页表中有多少项指向该页,还用于限制逆向映射搜索
atomic_t类型允许以原子方式修改其值,即不受并发访问的影响
*/
atomic_t _mapcount;
struct
{ /*
SLUB: 用于SLUB分配器,表示对象的数目
*/
u16 inuse;
u16 objects;
};
};
union
{
struct
{
/*
Mapping-private opaque data: 由映射私有,不透明数据
usually used for buffer_heads if PagePrivate set: 如果设置了PagePrivate,通常用于buffer_heads
used for swp_entry_t if PageSwapCache: 如果设置了PageSwapCache,则用于swp_entry_t
indicates order in the buddy system if PG_buddy is set: 如果设置了PG_buddy,则用于表示伙伴系统中的阶
private是一个指向"私有"数据的指针,虚拟内存管理会忽略该数据
*/
unsigned long private; /*
If low bit clear, points to inode address_space, or NULL: 如果最低位为0,则指向inode address_space,成为NULL
If page mapped as anonymous memory, low bit is set, and it points to anon_vma object: 如果页映射为匿名内存,则将最低位置位,而且该指针指向anon_vma对象
mapping指定了页帧所在的地址空间
*/
struct address_space *mapping;
};
#if USE_SPLIT_PTLOCKS
spinlock_t ptl;
#endif
/*
SLUB: Pointer to slab
用于SLAB分配器: 指向SLAB的指针
*/
struct kmem_cache *slab;
/*
Compound tail pages
内核可以将多个相连的页合并成较大的复合页(compound page),分组中的第一个页称作首页(head page),而所有其余各页叫做尾页(tail page),所有尾页对应的page实例中,都将first_page设置为指向首页
用于复合页的页尾,指向首页
*/
struct page *first_page;
};
union
{
/*
Our offset within mapping.
index是页帧在映射内的偏移量
*/
pgoff_t index;
void *freelist; /* SLUB: freelist req. slab lock */
}; /*
Pageout list(换出页列表), eg. active_list protected by zone->lru_lock
*/
struct list_head lru;
/*
* On machines where all RAM is mapped into kernel address space,
* we can simply calculate the virtual address. On machines with
* highmem some memory is mapped into kernel virtual memory
* dynamically, so we need a place to store that address.
* Note that this field could be 16 bits on x86 ... ;)
*
* Architectures with slow multiplication can define
* WANT_PAGE_VIRTUAL in asm/page.h
*/
#if defined(WANT_PAGE_VIRTUAL)
/*
Kernel virtual address (NULL if not kmapped, ie. highmem)
内核虚拟地址(如果没有映射机制则为NULL,即高端内存)
*/
void *virtual;
#endif /* WANT_PAGE_VIRTUAL */
#ifdef CONFIG_WANT_PAGE_DEBUG_FLAGS
unsigned long debug_flags; /* Use atomic bitops on this */
#endif #ifdef CONFIG_KMEMCHECK
/*
* kmemcheck wants to track the status of each byte in a page; this
* is a pointer to such a status block. NULL if not tracked.
*/
void *shadow;
#endif
};

很多时候,需要等待页的状态改变,然后才能恢复工作,内核提供了两个辅助函数
\linux-2.6.32.63\include\linux\pagemap.h

static inline void wait_on_page_locked(struct page *page);
假定内核的一部分在等待一个被锁定的页面,直至页面解锁,wait_on_page_locked提供了该功能,在页面锁定的情况下调用该函数,内核将进入睡眠,在页解锁之后,睡眠进程被自动唤醒并继续共走 static inline void wait_on_page_writeback(struct page *page);
wait_on_page_writeback的工作方式类似,该函数会等待到与页面相关的所有待决回写操作结束,将页面包含的数据同步到块设备(例如硬盘)为止

8. 中断相关的数据结构

0x1: struct irq_desc

用于表示IRQ描述符的结构定义如下:\linux-2.6.32.63\include\linux\irq.h

struct irq_desc
{
//1. interrupt number for this descriptor
unsigned int irq; //2. irq stats per cpu
unsigned int *kstat_irqs;
#ifdef CONFIG_INTR_REMAP
//3. iommu with this irq
struct irq_2_iommu *irq_2_iommu;
#endif
//4. highlevel irq-events handler [if NULL, __do_IRQ()]
irq_flow_handler_t handle_irq; //5. low level interrupt hardware access
struct irq_chip *chip; //6. MSI descriptor
struct msi_desc *msi_desc; //7. per-IRQ data for the irq_chip methods
void *handler_data; //8. platform-specific per-chip private data for the chip methods, to allow shared chip implementations
void *chip_data; /* IRQ action list */
//9. the irq action chain
struct irqaction *action; /* IRQ status */
//10. status information
unsigned int status; /* nested irq disables */
//11. disable-depth, for nested irq_disable() calls
unsigned int depth; /* nested wake enables */
//12. enable depth, for multiple set_irq_wake() callers
unsigned int wake_depth; /* For detecting broken IRQs */
//13. stats field to detect stalled irqs
unsigned int irq_count; /* Aging timer for unhandled count */
//14. aging timer for unhandled count
unsigned long last_unhandled; //15. stats field for spurious unhandled interrupts
unsigned int irqs_unhandled; //16. locking for SMP
spinlock_t lock;
#ifdef CONFIG_SMP
//17. IRQ affinity on SMP
cpumask_var_t affinity; //18. node index useful for balancing
unsigned int node;
#ifdef CONFIG_GENERIC_PENDING_IRQ
//19. pending rebalanced interrupts
cpumask_var_t pending_mask;
#endif
#endif
//20. number of irqaction threads currently running
atomic_t threads_active; //21. wait queue for sync_irq to wait for threaded handlers
wait_queue_head_t wait_for_threads;
#ifdef CONFIG_PROC_FS
//22. /proc/irq/ procfs entry
struct proc_dir_entry *dir;
#endif
//23. flow handler name for /proc/interrupts output
const char *name;
} ____cacheline_internodealigned_in_smp;

status描述了IRQ的当前状态
irq.h中定义了各种表示当前状态的常数,可用于描述IRQ电路当前的状态。每个常数表示位串中的一个置为的标志位(可以同时设置)

/*
* IRQ line status.
*
* Bits 0-7 are reserved for the IRQF_* bits in linux/interrupt.h
*
* IRQ types
*/
#define IRQ_TYPE_NONE 0x00000000 /* Default, unspecified type */
#define IRQ_TYPE_EDGE_RISING 0x00000001 /* Edge rising type */
#define IRQ_TYPE_EDGE_FALLING 0x00000002 /* Edge falling type */
#define IRQ_TYPE_EDGE_BOTH (IRQ_TYPE_EDGE_FALLING | IRQ_TYPE_EDGE_RISING)
#define IRQ_TYPE_LEVEL_HIGH 0x00000004 /* Level high type */
#define IRQ_TYPE_LEVEL_LOW 0x00000008 /* Level low type */
#define IRQ_TYPE_SENSE_MASK 0x0000000f /* Mask of the above */
#define IRQ_TYPE_PROBE 0x00000010 /* Probing in progress */ /*
IRQ handler active - do not enter!
与IRQ_DISABLED类似,IRQ_DISABLED会阻止其余的内核代码执行该处理程序
*/
#define IRQ_INPROGRESS 0x00000100 /*
IRQ disabled - do not enter!
用户表示被设备驱动程序禁用的IRQ电路毛概标志通知内核不要进入处理程序
*/
#define IRQ_DISABLED 0x00000200 /*
IRQ pending - replay on enable
当CPU产生一个中断但尚未执行对应的处理程序时,IRQ_PENDING标志位置位
*/
#define IRQ_PENDING 0x00000400 /*
IRQ has been replayed but not acked yet
IRQ_REPLAY意味着该IRQ已经禁用,但此前尚有一个未确认的中断
*/
#define IRQ_REPLAY 0x00000800
#define IRQ_AUTODETECT 0x00001000 /* IRQ is being autodetected */
#define IRQ_WAITING 0x00002000 /* IRQ not yet seen - for autodetection */ /*
IRQ level triggered
用于Alpha和PowerPC系统,用于区分电平触发和边沿触发的IRQ
*/
#define IRQ_LEVEL 0x00004000 /*
IRQ masked - shouldn't be seen again
为正确处理发生在中断处理期间的中断,需要IRQ_MASKED标志位
*/
#define IRQ_MASKED 0x00008000 /*
IRQ is per CPU
某个IRQ只能发生在一个CPU上时,将设置IRQ_PER_CPU标志位,在SMP系统中,该标志使几个用于防止并发访问的保护机制变得多余
*/
#define IRQ_PER_CPU 0x00010000
#define IRQ_NOPROBE 0x00020000 /* IRQ is not valid for probing */
#define IRQ_NOREQUEST 0x00040000 /* IRQ cannot be requested */
#define IRQ_NOAUTOEN 0x00080000 /* IRQ will not be enabled on request irq */
#define IRQ_WAKEUP 0x00100000 /* IRQ triggers system wakeup */
#define IRQ_MOVE_PENDING 0x00200000 /* need to re-target IRQ destination */
#define IRQ_NO_BALANCING 0x00400000 /* IRQ is excluded from balancing */
#define IRQ_SPURIOUS_DISABLED 0x00800000 /* IRQ was disabled by the spurious trap */
#define IRQ_MOVE_PCNTXT 0x01000000 /* IRQ migration from process context */
#define IRQ_AFFINITY_SET 0x02000000 /* IRQ affinity was set from userspace*/
#define IRQ_SUSPENDED 0x04000000 /* IRQ has gone through suspend sequence */
#define IRQ_ONESHOT 0x08000000 /* IRQ is not unmasked after hardirq */
#define IRQ_NESTED_THREAD 0x10000000 /* IRQ is nested into another, no own handler thread */ #ifdef CONFIG_IRQ_PER_CPU
# define CHECK_IRQ_PER_CPU(var) ((var) & IRQ_PER_CPU)
# define IRQ_NO_BALANCING_MASK (IRQ_PER_CPU | IRQ_NO_BALANCING)
#else
# define CHECK_IRQ_PER_CPU(var)
# define IRQ_NO_BALANCING_MASK IRQ_NO_BALANCING
#endif

0x2: struct irq_chip

\linux-2.6.32.63\include\linux\irq.h

struct irq_chip
{
/*
1. name for /proc/interrupts
包含一个短的字符串,用于标识硬件控制器
1) IA-32: XTPIC
2) AMD64: IO-APIC
*/
const char *name; //2. start up the interrupt (defaults to ->enable if NULL),用于第一次初始化一个IRQ,startup实际上就是将工作转给enable
unsigned int (*startup)(unsigned int irq); //3. shut down the interrupt (defaults to ->disable if NULL)
void (*shutdown)(unsigned int irq); //4. enable the interrupt (defaults to chip->unmask if NULL)
void (*enable)(unsigned int irq); //5. disable the interrupt (defaults to chip->mask if NULL)
void (*disable)(unsigned int irq); //6. start of a new interrupt
void (*ack)(unsigned int irq); //7. mask an interrupt source
void (*mask)(unsigned int irq); //8. ack and mask an interrupt source
void (*mask_ack)(unsigned int irq); //9. unmask an interrupt source
void (*unmask)(unsigned int irq); //10. end of interrupt - chip level
void (*eoi)(unsigned int irq); //11. end of interrupt - flow level
void (*end)(unsigned int irq); //12. set the CPU affinity on SMP machines
int (*set_affinity)(unsigned int irq, const struct cpumask *dest); //13. resend an IRQ to the CPU
int (*retrigger)(unsigned int irq); //14. set the flow type (IRQ_TYPE_LEVEL/etc.) of an IRQ
int (*set_type)(unsigned int irq, unsigned int flow_type); //15. enable/disable power-management wake-on of an IRQ
int (*set_wake)(unsigned int irq, unsigned int on); //16. function to lock access to slow bus (i2c) chips
void (*bus_lock)(unsigned int irq); //17. function to sync and unlock slow bus (i2c) chips
void (*bus_sync_unlock)(unsigned int irq); /* Currently used only by UML, might disappear one day.*/
#ifdef CONFIG_IRQ_RELEASE_METHOD
//18. release function solely used by UML
void (*release)(unsigned int irq, void *dev_id);
#endif
/*
* For compatibility, ->typename is copied into ->name.
* Will disappear.
*/
//19. obsoleted by name, kept as migration helper
const char *typename;
};

该结构需要考虑内核中出现的各个IRQ实现的所有特性。因此,一个该结构的特定实例,通常只定义所有可能方法的一个子集,下面以IO-APIC、i8259A标准中断控制器作为例子

\linux-2.6.32.63\arch\x86\kernel\io_apic.c

static struct irq_chip ioapic_chip __read_mostly = {
.name = "IO-APIC",
.startup = startup_ioapic_irq,
.mask = mask_IO_APIC_irq,
.unmask = unmask_IO_APIC_irq,
.ack = ack_apic_edge,
.eoi = ack_apic_level,
#ifdef CONFIG_SMP
.set_affinity = set_ioapic_affinity_irq,
#endif
.retrigger = ioapic_retrigger_irq,
};

linux-2.6.32.63\arch\alpha\kernel\irq_i8259.c

struct irq_chip i8259a_irq_type = {
.name = "XT-PIC",
.startup = i8259a_startup_irq,
.shutdown = i8259a_disable_irq,
.enable = i8259a_enable_irq,
.disable = i8259a_disable_irq,
.ack = i8259a_mask_and_ack_irq,
.end = i8259a_end_irq,
};

可以看到,运行该设备,只需要定义所有可能处理程序函数的一个子集

0x3: struct irqaction

struct irqaction结构是struct irq_desc中和IRQ处理函数相关的成员结构

struct irqaction
{
//1. name、dev_id唯一地标识一个中断处理程序
irq_handler_t handler;
void *dev_id; void __percpu *percpu_dev_id; //2. next用于实现共享的IRQ处理程序
struct irqaction *next;
irq_handler_t thread_fn;
struct task_struct *thread;
unsigned int irq; //3. flags是一个标志变量,通过位图描述了IRQ(和相关的中断)的一些特性,位图中的各个标志位可以通过预定义的常数访问
unsigned int flags;
unsigned long thread_flags;
unsigned long thread_mask; //4. name是一个短字符串,用于标识设备
const char *name;
struct proc_dir_entry *dir;
} ____cacheline_internodealigned_in_smp;

几个irqaction实例聚集到一个链表中,链表的所有元素都必须处理同一个IRQ编号,在发生一个共享中断时,内核扫描该链表找出中断实际上的来源设备

aaarticlea/png;base64,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" alt="" />

9. 进程间通信(IPC)相关数据结构

0x1: struct ipc_namespace

从内核版本2.6.19开始,IPC机制已经能够意识到命名空间的存在,但管理IPC命名空间比较简单,因为它们之间没有层次关系,给定的进程属于task_struct->nsproxy->ipc_ns指向的命名空间,初始的默认命名空间通过ipc_namespace的静态实例init_ipc_ns实现,每个命名空间都包括如下结构
source/include/linux/ipc_namespace.h

struct ipc_namespace
{
atomic_t count;
/*
每个数组元素对应一种IPC机制
1) ids[0]: 信号量
2) ids[1]: 消息队列
3) ids[2]: 共享内存
*/
struct ipc_ids ids[]; int sem_ctls[];
int used_sems; int msg_ctlmax;
int msg_ctlmnb;
int msg_ctlmni;
atomic_t msg_bytes;
atomic_t msg_hdrs;
int auto_msgmni; size_t shm_ctlmax;
size_t shm_ctlall;
int shm_ctlmni;
int shm_tot; struct notifier_block ipcns_nb; /* The kern_mount of the mqueuefs sb. We take a ref on it */
struct vfsmount *mq_mnt; /* # queues in this ns, protected by mq_lock */
unsigned int mq_queues_count; /* next fields are set through sysctl */
unsigned int mq_queues_max; /* initialized to DFLT_QUEUESMAX */
unsigned int mq_msg_max; /* initialized to DFLT_MSGMAX */
unsigned int mq_msgsize_max; /* initialized to DFLT_MSGSIZEMAX */
};

Relevant Link:

http://blog.csdn.net/bullbat/article/details/7781027
http://book.51cto.com/art/201005/200882.htm

0x2: struct ipc_ids

这个结构保存了有关IPC对象状态的一般信息,每个struct ipc_ids结构实例对应于一种IPC机制: 共享内存、信号量、消息队列。为了防止对每个;类别都需要查找对应的正确数组索引,内核提供了辅助函数msg_ids、shm_ids、sem_ids
source/include/linux/ipc_namespace.h

struct ipc_ids
{
//1. 当前使用中IPC对象的数目
int in_use; /*
2. 用户连续产生用户空间IPC ID,需要注意的是,ID不等同于序号,内核通过ID来标识IPC对象,ID按资源类型管理,即一个ID用于消息队列,一个用于信号量、一个用于共享内存对象
每次创建新的IPC对象时,序号加1(自动进行回绕,即到达最大值自动变为0)
用户层可见的ID = s * SEQ_MULTIPLER + i,其中s是当前序号,i是内核内部的ID,SEQ_MULTIPLER设置为IPC对象的上限
如果重用了内部ID,仍然会产生不同的用户空间ID,因为序号不会重用,在用户层传递了一个旧的ID时,这种做法最小化了使用错误资源的风险
*/
unsigned short seq;
unsigned short seq_max; //3. 内核信号量,它用于实现信号量操作,避免用户空间中的竞态条件,该互斥量有效地保护了包含信号量值的数据结构
struct rw_semaphore rw_mutex; //4. 每个IPC对象都由kern_ipc_perm的一个实例表示,ipcs_idr用于将ID关联到指向对应的kern_ipc_perm实例的指针
struct idr ipcs_idr;
};

每个IPC对象都由kern_ipc_perm的一个实例表示,每个对象都有一个内核内部ID,ipcs_idr用于将ID关联到指向对应的kern_ipc_perm实例的指针

0x3: struct kern_ipc_perm

这个结构保存了当前IPC对象的"所有者"、和访问权限等相关信息
/source/include/linux/ipc.h

/* Obsolete, used only for backwards compatibility and libc5 compiles */
struct ipc_perm
{
//1. 保存了用户程序用来标识信号量的魔数
__kernel_key_t key; //2. 当前IPC对象所有者的UID
__kernel_uid_t uid; //3. 当前IPC对象所有者的组ID
__kernel_gid_t gid; //4. 产生信号量的进程的用户ID
__kernel_uid_t cuid; //5. 产生信号量的进程的用户组ID
__kernel_gid_t cgid; //6. 位掩码。指定了所有者、组、其他用户的访问权限
__kernel_mode_t mode; //7. 一个序号,在分配IPC时使用
unsigned short seq;
};

这个结果不足以保存信号量所需的所有信息。在进程的task_struct实例中有一个与IPC相关的成员

struct task_struct
{
...
#ifdef CONFIG_SYSVIPC
struct sysv_sem sysvsem;
#endif
...
}
//只有设置了配置选项CONFIG_SYSVIPC时,Sysv相关代码才会被编译到内核中

aaarticlea/png;base64,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" alt="" />

0x4: struct sysv_sem

struct sysv_sem数据结构封装了另一个成员

struct sysv_sem
{
//用于撤销信号量
struct sem_undo_list *undo_list;
};

如果崩溃金曾修改了信号量状态之后,可能会导致有等待该信号量的进程无法唤醒(伪死锁),则该机制在这种情况下很有用。通过使用撤销列表中的信息在适当的时候撤销这些操作,信号量可以恢复到一致状态,防止死锁

0x5: struct sem_queue

struct sem_queue数据结构用于将信号量与睡眠进程关联起来,该进程想要执行信号量操作,但目前因为资源争夺关系不允许。简单来说,信号量的"待决操作列表"中,每一项都是该数据结构的实例

/* One queue for each sleeping process in the system. */
struct sem_queue
{
/*
queue of pending operations: 等待队列,使用next、prev串联起来的双向链表
*/
struct list_head list; /*
this process: 睡眠的结构
*/
struct task_struct *sleeper; /*
undo structure: 用于撤销的结构
*/
struct sem_undo *undo; /*
process id of requesting process: 请求信号量操作的进程ID
*/
int pid; /*
completion status of operation: 操作的完成状态
*/
int status; /*
array of pending operations: 待决操作数组
*/
struct sembuf *sops; /*
number of operations: 操作数目
*/
int nsops; /*
does the operation alter the array?: 操作是否改变了数组?
*/
int alter;
};

对每个信号量,都有一个队列管理与信号量相关的所有睡眠进程(待决进程),该队列并未使用内核的标准设施实现,而是通过next、prev指针手工实现

信号量各数据结构之间的相互关系

linux内核数据结构学习总结

aaarticlea/png;base64,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*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" alt="" />

0x6: struct msg_queue

和消息队列相关的数据结构,struct msg_queue作为消息队列的链表头,描述了当前消息队列的相关信息以及队列的访问权限

/source/include/linux/msg.h

/* one msq_queue structure for each present queue on the system */
struct msg_queue
{
struct kern_ipc_perm q_perm; /*
last msgsnd time: 上一次调用msgsnd发送消息的时间
*/
time_t q_stime; /*
last msgrcv time: 上一次调用msgrcv接收消息的时间
*/
time_t q_rtime; /*
last change time: 上一次修改的时间
*/
time_t q_ctime; /*
current number of bytes on queue: 队列上当前字节数目
*/
unsigned long q_cbytes; /*
number of messages in queue: 队列中的消息数目
*/
unsigned long q_qnum; /*
max number of bytes on queue: 队列上最大字节数目
*/
unsigned long q_qbytes; /*
pid of last msgsnd: 上一次调用msgsnd的pid
*/
pid_t q_lspid; /*
last receive pid: 上一次接收消息的pid
*/
pid_t q_lrpid; struct list_head q_messages;
struct list_head q_receivers;
struct list_head q_senders;
};

我们重点关注一下结构体的最后3个成员,它们是3个标准的内核链表

. struct list_head q_messages : 消息本身
. struct list_head q_receivers : 睡眠的接收者
. struct list_head q_senders : 睡眠的发送者

q_messages(消息本身)中的各个消息都封装在一个msg_msg实例中

0x7: struct msg_msg

\linux-2.6.32.63\include\linux\msg.h

/* one msg_msg structure for each message */
struct msg_msg
{
//用作连接各个消息的链表元素
struct list_head m_list; //消息类型
long m_type; /*
message text size: 消息长度
*/
int m_ts; /*
如果保存了超过一个内存页的长消息,则需要next
每个消息都(至少)分配了一个内存页,msg_msg实例保存在该页的起始处,剩余的空间可以用于存储消息的正文
*/
struct msg_msgseg* next;
void *security;
/* the actual message follows immediately */
};

aaarticlea/png;base64,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" alt="" />

消息队列通信时,发送进程和接收进程都可以进入睡眠

. 如果消息队列已经达到最大容量,则发送者在试图写入时会进入睡眠
. 如果接受者在试图获取消息时会进入睡眠

在实际的编程中,为了缓解因为消息队列上限满导致消息发送者(senders 向消息队列中写入数据的进程)被强制睡眠阻塞,我们可以采取几个措施

. vim /etc/sysctl.conf
. 使用非阻塞消息发送方式调用msgsnd() API
/*
int ret = msgsnd(msgq_id, msg, msg_size, IPC_NOWAIT);
IPC_NOWAIT:当消息队列已满的时候,msgsnd函数不等待立即返回
*/

Relevant Link:

http://blog.csdn.net/guoping16/article/details/6584024

0x8: struct msg_sender

对于消息队列来说,睡眠的发送者放置在msg_queue的q_senders链表中,链表元素使用下列数据结构

/* one msg_sender for each sleeping sender */
struct msg_sender
{
//链表元素
struct list_head list; //指向对应进程的task_struct的指针
struct task_struct *tsk;
};

这里不需要额外的信息,因为发送进程是sys_msgsnd系统调用期间进入睡眠,也可能是通过sys_ipc系统调用期间进入睡眠(sys_ipc会在唤醒后自动重试发送操作)

0x9: struct msg_receiver

/*
* one msg_receiver structure for each sleeping receiver:
*/
struct msg_receiver
{
struct list_head r_list;
struct task_struct *r_tsk; int r_mode; //对预期消息的描述
long r_msgtype;
long r_maxsize; //指向msg_msg实例的指针,在消息可用的情况下,该指针指定了复制数据的目标地址
struct msg_msg *volatile r_msg;
};

每个消息队列都有一个msqid_ds结构与其关联

0x10: struct msqid_ds

\linux-2.6.32.63\include\linux\msg.h

/* Obsolete, used only for backwards compatibility and libc5 compiles */
struct msqid_ds
{
struct ipc_perm msg_perm;
struct msg *msg_first; /* first message on queue,unused */
struct msg *msg_last; /* last message in queue,unused */
__kernel_time_t msg_stime; /* last msgsnd time */
__kernel_time_t msg_rtime; /* last msgrcv time */
__kernel_time_t msg_ctime; /* last change time */
unsigned long msg_lcbytes; /* Reuse junk fields for 32 bit */
unsigned long msg_lqbytes; /* ditto */
unsigned short msg_cbytes; /* current number of bytes on queue */
unsigned short msg_qnum; /* number of messages in queue */
unsigned short msg_qbytes; /* max number of bytes on queue */
__kernel_ipc_pid_t msg_lspid; /* pid of last msgsnd */
__kernel_ipc_pid_t msg_lrpid; /* last receive pid */
};

下图说明了消息队列所涉及各数据结构的相互关系

aaarticlea/png;base64,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" alt="" />

10. 命名空间(namespace)相关数据结构

Linux内核通过数据结构之间互相的连接关系,形成了一套虚拟的命名空间的虚拟化概念

0x1: struct pid_namespace

\linux-2.6.32.63\include\linux\pid_namespace.h

struct pid_namespace
{
struct kref kref;
struct pidmap pidmap[PIDMAP_ENTRIES];
int last_pid; /*
每个PID命名空间都具有一个进程,其发挥的作用相当于全局的init进程,init的一个目的是对孤儿调用wait4,命名空间局部的init变体也必须完成该工作。child_reaper保存了指向该进程的task_struct的指针
*/
struct task_struct *child_reaper;
struct kmem_cache *pid_cachep; /*
2. level表示当前命名空间在命名空间层次结构中的深度。初始命名空间的level为0,下一层为1,逐层递增。level较高的命名空间中的ID,对level较低的命名空间来说是可见的(即子命名空间对父命名空间可见)。从给定的level位置,内核即可推断进程会关联到多少个ID(即子命名空间中的进程需要关联从当前命名空间一直到最顶层的所有命名空间)
*/
unsigned int level; /*
3. parent是指向父命名空间的指针
*/
struct pid_namespace *parent;
#ifdef CONFIG_PROC_FS
struct vfsmount *proc_mnt;
#endif
#ifdef CONFIG_BSD_PROCESS_ACCT
struct bsd_acct_struct *bacct;
#endif
};

0x2: struct pid、struct upid

PID的管理围绕着两个数据结构展开,struct pid是内核对PID的内部表示、struct upid则表示特定的命名空间中可见的信息

\linux-2.6.32.63\include\linux\pid.h

/*
struct upid is used to get the id of the struct pid, as it is seen in particular namespace.
Later the struct pid is found with find_pid_ns() using the int nr and struct pid_namespace *ns.
*/
struct upid {
/* Try to keep pid_chain in the same cacheline as nr for find_vpid */ //1. 表示ID的数值
int nr; //2. 指向该ID所属的命名空间的指针
struct pid_namespace *ns; /*
3. 所有的upid实例都保存在一个散列表中,pid_chain用内核的标准方法实现了散列溢出链表
*/
struct hlist_node pid_chain;
}; struct pid
{
//1. 引用计数器
atomic_t count;
unsigned int level; /*
lists of tasks that use this pid
task是一个数组,每个数组项都是一个散列表头,对应于一个ID类型,因为一个ID可能用于几个进程,所有共享同一个给定ID的task_struct实例,都通过该列表连接起来,PIDTYPE_MAX表示ID类型的数目
enum pid_type
{
PIDTYPE_PID,
PIDTYPE_PGID,
PIDTYPE_SID,
PIDTYPE_MAX
};
*/
struct hlist_head tasks[PIDTYPE_MAX];
struct rcu_head rcu;
struct upid numbers[1];
};

aaarticlea/png;base64,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*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" alt="" />

另一幅图如下

aaarticlea/png;base64,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*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" alt="" />

可以看到,内核用数据结构中的这种N:N的关系,实现了一个虚拟的层次命名空间结构

0x3: struct nsproxy

\linux-2.6.32.63\include\linux\nsproxy.h

/*
A structure to contain pointers to all per-process namespaces
1. fs (mount)
2. uts
3. network
4. sysvipc
5. etc
'count' is the number of tasks holding a reference. The count for each namespace, then, will be the number of nsproxies pointing to it, not the number of tasks.
The nsproxy is shared by tasks which share all namespaces. As soon as a single namespace is cloned or unshared, the nsproxy is copied.
*/
struct nsproxy
{
atomic_t count; /*
1. UTS(UNIX Timesharing System)命名空间包含了运行内核的名称、版本、底层体系结构类型等信息
*/
struct uts_namespace *uts_ns; /*
2. 保存在struct ipc_namespace中的所有与进程间通信(IPC)有关的信息
*/
struct ipc_namespace *ipc_ns; /*
3. 已经装载的文件系统的视图,在struct mnt_namespace中给出
*/
struct mnt_namespace *mnt_ns; /*
4. 有关进程ID的信息,由struct pid_namespace提供
*/
struct pid_namespace *pid_ns; /*
5. struct net包含所有网络相关的命名空间参数
*/
struct net *net_ns;
};
extern struct nsproxy init_nsproxy;

0x4: struct mnt_namespace

\linux-2.6.32.63\include\linux\mnt_namespace.h

struct mnt_namespace
{
//使用计数器,指定了使用该命名空间的进程数目
atomic_t count; //指向根目录的vfsmount实例
struct vfsmount * root; //双链表表头,保存了VFS命名空间中所有文件系统的vfsmount实例,链表元素是vfsmount的成员mnt_list
struct list_head list;
wait_queue_head_t poll;
int event;
};

Copyright (c) 2014 LittleHann All rights reserved

上一篇:用单例模式封装常用方法 utils class v1.0


下一篇:置换群、Burnside引理与等价类计数问题