error page怎么解决_以htop为例看怎么做Android iOS app cpu使用率监控

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我是靠谱客的博主留胡子百褶裙，最近开发中收集的这篇文章主要介绍error page怎么解决_以htop为例看怎么做Android iOS app cpu使用率监控，觉得挺不错的，现在分享给大家，希望可以做个参考。

概述

申明
源码
进程cpu使用率
cpu核心使用率
总结
app耗电监控之cpu使用率监控

linux/android 获取进程或系统cpu使用率，可以简单的读取/proc/pid/stat /proc/stat等文件快速搞定。一个cat命令搞定。

而mac os，却比较麻烦，几乎都是通过api编程方式，那是哪些api呢？

android app 和iOS app 怎么做cpu 耗电监控呢？

申明

本文说的全是错的。

源码

htop 源码: https://github.com/hishamhm/htop.git
apple 开源Darwin代码

获取单个进程的 utime 和 stime

//DarwinProcess.c


void DarwinProcess_setFromLibprocPidinfo(DarwinProcess *proc, DarwinProcessList *dpl) { 
   struct proc_taskinfo pti; // 详情结构体
   //call bsd fill_taskprocinfo() to get info
   if(sizeof(pti) == proc_pidinfo(proc->super.pid, PROC_PIDTASKINFO, 0, &pti, sizeof(pti))) { // mac 获取pid 详情
      if(0 != proc->utime || 0 != proc->stime) {
         uint64_t diff = (pti.pti_total_system - proc->stime)
                  + (pti.pti_total_user - proc->utime);

         proc->super.percent_cpu = (double)diff * (double)dpl->super.cpuCount
                  / ((double)dpl->global_diff * 100000.0);

//       fprintf(stderr, "%f %llu %llu %llu %llu %llun", proc->super.percent_cpu,
//               proc->stime, proc->utime, pti.pti_total_system, pti.pti_total_user, dpl->global_diff);
//       exit(7);
      }

      proc->super.time = (pti.pti_total_system + pti.pti_total_user) / 10000000;
      proc->super.nlwp = pti.pti_threadnum;
      proc->super.m_size = pti.pti_virtual_size / 1024 / PAGE_SIZE_KB;
      proc->super.m_resident = pti.pti_resident_size / 1024 / PAGE_SIZE_KB;
      proc->super.majflt = pti.pti_faults;
      proc->super.percent_mem = (double)pti.pti_resident_size * 100.0
              / (double)dpl->host_info.max_mem;

        // stime and utime
      proc->stime = pti.pti_total_system;
      proc->utime = pti.pti_total_user;

      dpl->super.kernelThreads += 0; /*pti.pti_threads_system;*/
      dpl->super.userlandThreads += pti.pti_threadnum; /*pti.pti_threads_user;*/
      dpl->super.totalTasks += pti.pti_threadnum;
      dpl->super.runningTasks += pti.pti_numrunning;
   }
}

核心代码:

#define PROC_PIDTASKINFO		4

struct proc_taskinfo pti;
proc_pidinfo(proc->super.pid, PROC_PIDTASKINFO, 0, &pti, sizeof(pti));
//proc_info.h
struct proc_taskinfo {
	uint64_t		pti_virtual_size;	/* virtual memory size (bytes) */
	uint64_t		pti_resident_size;	/* resident memory size (bytes) */
	//关键成员
	uint64_t		pti_total_user;		/* total time */
	uint64_t		pti_total_system;
	
	uint64_t		pti_threads_user;	/* existing threads only */
	uint64_t		pti_threads_system;
	int32_t			pti_policy;		/* default policy for new threads */
	int32_t			pti_faults;		/* number of page faults */
	int32_t			pti_pageins;		/* number of actual pageins */
	int32_t			pti_cow_faults;		/* number of copy-on-write faults */
	int32_t			pti_messages_sent;	/* number of messages sent */
	int32_t			pti_messages_received;	/* number of messages received */
	int32_t			pti_syscalls_mach;	/* number of mach system calls */
	int32_t			pti_syscalls_unix;	/* number of unix system calls */
	int32_t			pti_csw;          	/* number of context switches */
	int32_t			pti_threadnum;		/* number of threads in the task */
	int32_t			pti_numrunning;		/* number of running threads */
	int32_t			pti_priority;		/* task priority*/
};
//proc_info.c
int
proc_pidinfo(int pid, int flavor, uint64_t arg, user_addr_t buffer, uint32_t  buffersize, int32_t * retval)
{
	struct proc * p = PROC_NULL;
	int error = ENOTSUP;
	int gotref = 0;
	int findzomb = 0;
	int shortversion = 0;
	uint32_t size;
	int zombie = 0;
	int thuniqueid = 0;
	int uniqidversion = 0;
	boolean_t check_same_user;

    ...

	switch (flavor) {
	...
		case PROC_PIDTASKINFO: {
			struct proc_taskinfo ptinfo;

			error =  proc_pidtaskinfo(p, &ptinfo);
			if (error == 0) {
			    //copyout 类似linux的 copy_to_user , 数据从kernel 拷贝到userland
				error = copyout(&ptinfo, buffer, sizeof(struct proc_taskinfo));
				if (error == 0)
					*retval = sizeof(struct proc_taskinfo);
			}	
		}
		break;
    ...
}
int 
proc_pidtaskinfo(proc_t p, struct proc_taskinfo * ptinfo)
{
	task_t task;
	
	task = p->task;

	bzero(ptinfo, sizeof(struct proc_taskinfo));
	fill_taskprocinfo(task, (struct proc_taskinfo_internal *)ptinfo); //helin

	return(0);
}
struct proc_taskinfo_internal {          
        uint64_t                pti_virtual_size;   /* virtual memory size (bytes) */
        uint64_t                pti_resident_size;  /* resident memory size (bytes) */
        uint64_t                pti_total_user;         /* total time */
        uint64_t                pti_total_system;
        uint64_t                pti_threads_user;       /* existing threads only */
        uint64_t                pti_threads_system;
        int32_t                 pti_policy;             /* default policy for new threads */
        int32_t                 pti_faults;             /* number of page faults */
        int32_t                 pti_pageins;    /* number of actual pageins */
        int32_t                 pti_cow_faults; /* number of copy-on-write faults */
        int32_t                 pti_messages_sent;      /* number of messages sent */
        int32_t                 pti_messages_received; /* number of messages received */
        int32_t                 pti_syscalls_mach;  /* number of mach system calls */
        int32_t                 pti_syscalls_unix;  /* number of unix system calls */
        int32_t                 pti_csw;            /* number of context switches */
        int32_t                 pti_threadnum;          /* number of threads in the task */
        int32_t                 pti_numrunning;         /* number of running threads */
	int32_t                 pti_priority;           /* task priority*/
};
//bsd_kern.c
void
fill_taskprocinfo(task_t task, struct proc_taskinfo_internal * ptinfo) //helin
{
	vm_map_t map;
	task_absolutetime_info_data_t   tinfo;
	thread_t thread;
	uint32_t cswitch = 0, numrunning = 0;
	uint32_t syscalls_unix = 0;
	uint32_t syscalls_mach = 0;

	task_lock(task);

	map = (task == kernel_task)? kernel_map: task->map;

	ptinfo->pti_virtual_size  = map->size;
	ptinfo->pti_resident_size =
		(mach_vm_size_t)(pmap_resident_count(map->pmap))
		* PAGE_SIZE_64;

	ptinfo->pti_policy = ((task != kernel_task)?
                                          POLICY_TIMESHARE: POLICY_RR);

	tinfo.threads_user = tinfo.threads_system = 0;
	//task总的utime 和 stime
	tinfo.total_user = task->total_user_time;
	tinfo.total_system = task->total_system_time;
    //遍历线程
	queue_iterate(&task->threads, thread, thread_t, task_threads) {
		uint64_t    tval;
		spl_t x;

		if (thread->options & TH_OPT_IDLE_THREAD)
			continue;

		x = splsched();
		thread_lock(thread);

		if ((thread->state & TH_RUN) == TH_RUN)
			numrunning++;
		cswitch += thread->c_switch; //上下文切换
		
		//各个线程的utime和stime
		tval = timer_grab(&thread->user_timer);
		tinfo.threads_user += tval;
		tinfo.total_user += tval;

		tval = timer_grab(&thread->system_timer);

		if (thread->precise_user_kernel_time) {
			tinfo.threads_system += tval;
			tinfo.total_system += tval;
		} else {
			/* system_timer may represent either sys or user */
			tinfo.threads_user += tval;
			tinfo.total_user += tval;
		}

		syscalls_unix += thread->syscalls_unix;
		syscalls_mach += thread->syscalls_mach;

		thread_unlock(thread);
		splx(x);
	}

    //task累计时间, 耗时统计使用该2项：
	ptinfo->pti_total_system = tinfo.total_system;
	ptinfo->pti_total_user = tinfo.total_user;
	
	//内核态或用户态线程单独时间
	ptinfo->pti_threads_system = tinfo.threads_system;
	ptinfo->pti_threads_user = tinfo.threads_user;
	
	ptinfo->pti_faults = task->faults;
	ptinfo->pti_pageins = task->pageins;
	ptinfo->pti_cow_faults = task->cow_faults;
	ptinfo->pti_messages_sent = task->messages_sent;
	ptinfo->pti_messages_received = task->messages_received;
	ptinfo->pti_syscalls_mach = task->syscalls_mach + syscalls_mach;
	ptinfo->pti_syscalls_unix = task->syscalls_unix + syscalls_unix;
	ptinfo->pti_csw = task->c_switch + cswitch; //上下文切换
	ptinfo->pti_threadnum = task->thread_count;
	ptinfo->pti_numrunning = numrunning;
	ptinfo->pti_priority = task->priority;

	task_unlock(task);
}

cpu整体耗时

typedef struct DarwinProcessList_ {
   ProcessList super;

   host_basic_info_data_t host_info;
   vm_statistics_data_t vm_stats;
   //htop自己的结构体：前后load累计值，方便后续取差值算百分比
   processor_cpu_load_info_t prev_load; 
   processor_cpu_load_info_t curr_load; 
   
   uint64_t kernel_threads;
   uint64_t user_threads;
   uint64_t global_diff;
} DarwinProcessList;

cpu使用率是抽样后取差值，再计算百分比

// kernel cpu的 4种状态
#define CPU_STATE_MAX      4

#define CPU_STATE_USER     0
#define CPU_STATE_SYSTEM   1
#define CPU_STATE_IDLE     2
#define CPU_STATE_NICE     3

// 分别计算各个cpu的各种状态下的ticks差，再算百分比，得到各个cpu的百分比使用率
double Platform_setCPUValues(Meter* mtr, int cpu) {

   if (cpu == 0) {
      return Platform_setCPUAverageValues(mtr);
   }

   DarwinProcessList *dpl = (DarwinProcessList *)mtr->pl;
   processor_cpu_load_info_t prev = &dpl->prev_load[cpu-1];
   processor_cpu_load_info_t curr = &dpl->curr_load[cpu-1];
   double total = 0;

   /* Take the sums */
   //计算所有状态的ticks差的总和
   for(size_t i = 0; i < CPU_STATE_MAX; ++i) {
      total += (double)curr->cpu_ticks[i] - (double)prev->cpu_ticks[i];
   }
   //3种状态的 当前百分比， IDLE不用ticks，所有忽略
   mtr->values[CPU_METER_NICE]
           = ((double)curr->cpu_ticks[CPU_STATE_NICE] - (double)prev->cpu_ticks[CPU_STATE_NICE])* 100.0 / total;
   mtr->values[CPU_METER_NORMAL]
           = ((double)curr->cpu_ticks[CPU_STATE_USER] - (double)prev->cpu_ticks[CPU_STATE_USER])* 100.0 / total;
   mtr->values[CPU_METER_KERNEL]
           = ((double)curr->cpu_ticks[CPU_STATE_SYSTEM] - (double)prev->cpu_ticks[CPU_STATE_SYSTEM])* 100.0 / total;

   Meter_setItems(mtr, 3);

   /* Convert to percent and return */
   //3个有用ticks的百分比累加，得到该cpu总体百分比
   total = mtr->values[CPU_METER_NICE] + mtr->values[CPU_METER_NORMAL] + mtr->values[CPU_METER_KERNEL];

   return CLAMP(total, 0.0, 100.0);
}

下面来看下各个cpu的各个状态的ticks怎么得来的

ProcessList_allocateCPULoadInfo(&this->curr_load); 

unsigned ProcessList_allocateCPULoadInfo(processor_cpu_load_info_t *p) {
   mach_msg_type_number_t info_size = sizeof(processor_cpu_load_info_t);
   unsigned cpu_count;

   // TODO Improving the accuracy of the load counts woule help a lot.
   if(0 != host_processor_info(mach_host_self(), PROCESSOR_CPU_LOAD_INFO, &cpu_count, (processor_info_array_t *)p, &info_size)) {
       CRT_fatalError("Unable to retrieve CPU infon");
   }

   return cpu_count;
}

关键函数为：

host_processor_info(mach_host_self(), PROCESSOR_CPU_LOAD_INFO, &cpu_count, (processor_info_array_t *)p, &info_size)
//host.c

kern_return_t
host_processor_info(host_t host, //helin
                    processor_flavor_t flavor,
                    natural_t * out_pcount,
                    processor_info_array_t * out_array,
                    mach_msg_type_number_t * out_array_count)
{
	kern_return_t result;
	processor_t processor;
	host_t thost;
	processor_info_t info;
	unsigned int icount, tcount;
	unsigned int pcount, i;
	vm_offset_t addr;
	vm_size_t size, needed;
	vm_map_copy_t copy;
...
	result = kmem_alloc(ipc_kernel_map, &addr, size, VM_KERN_MEMORY_IPC); // 分配空间保存processor_info数据
...
	info = (processor_info_t)addr;
	processor = processor_list; // cpu链表
	tcount = icount;

    //获取第一个cpu信息
	result = processor_info(processor, flavor, &thost, info, &tcount);
	if (result != KERN_SUCCESS) {
		kmem_free(ipc_kernel_map, addr, size);
		return (result);
	}

	if (pcount > 1) {
		for (i = 1; i < pcount; i++) {
			simple_lock(&processor_list_lock);
			processor = processor->processor_list; //helin: 链表next item
			simple_unlock(&processor_list_lock);

			info += icount;
			tcount = icount;
			//获取第i个 cpu信息
			result = processor_info(processor, flavor, &thost, info, &tcount);
			if (result != KERN_SUCCESS) {
				kmem_free(ipc_kernel_map, addr, size);
				return (result);
			}
		}
	}

...
	return (KERN_SUCCESS);
}

关键函数：

processor_info(processor, flavor, &thost, info, &tcount);
//processor.c


kern_return_t
processor_info(
	register processor_t	processor,
	processor_flavor_t		flavor,
	host_t					*host,
	processor_info_t		info,
	mach_msg_type_number_t	*count)
{
	register int	cpu_id, state;
...
	cpu_id = processor->cpu_id;

	switch (flavor) {
...

	case PROCESSOR_CPU_LOAD_INFO:
	{
		processor_cpu_load_info_t	cpu_load_info; //cpu 负载信息
		timer_t		idle_state;
		uint64_t	idle_time_snapshot1, idle_time_snapshot2;
		uint64_t	idle_time_tstamp1, idle_time_tstamp2;

		/*
		 * We capture the accumulated idle time twice over
		 * the course of this function, as well as the timestamps
		 * when each were last updated. Since these are
		 * all done using non-atomic racy mechanisms, the
		 * most we can infer is whether values are stable.
		 * timer_grab() is the only function that can be
		 * used reliably on another processor's per-processor
		 * data.
		 */

		if (*count < PROCESSOR_CPU_LOAD_INFO_COUNT)
			return (KERN_FAILURE);

		cpu_load_info = (processor_cpu_load_info_t) info;
		
		//#1. 获取 CPU_STATE_USER 和 CPU_STATE_SYSTEM ticks
		if (precise_user_kernel_time) {
			cpu_load_info->cpu_ticks[CPU_STATE_USER] =
							(uint32_t)(timer_grab(&PROCESSOR_DATA(processor, user_state)) / hz_tick_interval);
			cpu_load_info->cpu_ticks[CPU_STATE_SYSTEM] =
							(uint32_t)(timer_grab(&PROCESSOR_DATA(processor, system_state)) / hz_tick_interval);
		} else {
			uint64_t tval = timer_grab(&PROCESSOR_DATA(processor, user_state)) +
				timer_grab(&PROCESSOR_DATA(processor, system_state));

			cpu_load_info->cpu_ticks[CPU_STATE_USER] = (uint32_t)(tval / hz_tick_interval);
			cpu_load_info->cpu_ticks[CPU_STATE_SYSTEM] = 0;
		}

		idle_state = &PROCESSOR_DATA(processor, idle_state);
		idle_time_snapshot1 = timer_grab(idle_state);
		idle_time_tstamp1 = idle_state->tstamp;

		/*
		 * Idle processors are not continually updating their
		 * per-processor idle timer, so it may be extremely
		 * out of date, resulting in an over-representation
		 * of non-idle time between two measurement
		 * intervals by e.g. top(1). If we are non-idle, or
		 * have evidence that the timer is being updated
		 * concurrently, we consider its value up-to-date.
		 */
		 //#2. 更新 CPU_STATE_IDLE 状态ticks
		if (PROCESSOR_DATA(processor, current_state) != idle_state) {
			cpu_load_info->cpu_ticks[CPU_STATE_IDLE] =
							(uint32_t)(idle_time_snapshot1 / hz_tick_interval);
		} else if ((idle_time_snapshot1 != (idle_time_snapshot2 = timer_grab(idle_state))) ||
				   (idle_time_tstamp1 != (idle_time_tstamp2 = idle_state->tstamp))){
			/* Idle timer is being updated concurrently, second stamp is good enough */
			cpu_load_info->cpu_ticks[CPU_STATE_IDLE] =
							(uint32_t)(idle_time_snapshot2 / hz_tick_interval);
		} else {
			/*
			 * Idle timer may be very stale. Fortunately we have established
			 * that idle_time_snapshot1 and idle_time_tstamp1 are unchanging
			 */
			idle_time_snapshot1 += mach_absolute_time() - idle_time_tstamp1;
				
			cpu_load_info->cpu_ticks[CPU_STATE_IDLE] =
				(uint32_t)(idle_time_snapshot1 / hz_tick_interval);
		}

        //#3. 更新CPU_STATE_NICE ticks
		cpu_load_info->cpu_ticks[CPU_STATE_NICE] = 0; // nice ticks = 0

	    *count = PROCESSOR_CPU_LOAD_INFO_COUNT;
	    *host = &realhost;

	    return (KERN_SUCCESS);
	}

	default:
	    result = cpu_info(flavor, cpu_id, info, count);
	    if (result == KERN_SUCCESS)
			*host = &realhost;		   

	    return (result);
	}
}

PROCESSOR_DATA 定义：

struct processor_data {
	/* Processor state statistics */
	timer_data_t			idle_state;
	timer_data_t			system_state;
	timer_data_t			user_state;

	timer_t					current_state; /* points to processor's idle, system, or user state timer */

	/* Thread execution timers */
	timer_t					thread_timer; /* points to current thread's user or system timer */
	timer_t					kernel_timer; /* points to current thread's system_timer */
...
};
typedef struct processor_data	processor_data_t;

#define PROCESSOR_DATA(processor, member)	
					(processor)->processor_data.member

总结

cpu整体使用率:

host_processor_info(mach_host_self(), PROCESSOR_CPU_LOAD_INFO, &cpu_count, (processor_info_array_t *)p, &info_size)

进程单个使用率:

struct proc_taskinfo pti;
proc_pidinfo(proc->super.pid, PROC_PIDTASKINFO, 0, &pti, sizeof(pti));

app耗电监控之cpu使用率监控

android app 和iOS app 怎么做cpu监控呢？

可以参考上文方法，读取进程下各个线程cpu的utime stime等，如果使用率超过比如80%，那么就需要dump 线程堆栈方便后续耗时耗电分析。

话说当年乔布斯重回苹果，收拾原来的mac os烂摊子，曾经和Linux之父 Linus 沟通 mac使用采用Linux作为内核，但是没谈成。不然现在的 mac iphone 就可能和Android 成为兄弟了。

最后

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本文分类：error page怎么解决
浏览次数：89 次浏览
发布日期：2023-05-24 17:08:02
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error page怎么解决_以htop为例看怎么做Android iOS app cpu使用率监控

概述

linux/android 获取进程或系统cpu使用率，可以简单的读取/proc/pid/stat /proc/stat等文件快速搞定。一个cat命令搞定。

而mac os，却比较麻烦，几乎都是通过api编程方式，那是哪些api呢？

android app 和iOS app 怎么做cpu 耗电监控呢？

申明

源码

获取单个进程的 utime 和 stime

cpu整体耗时

总结

cpu整体使用率:

进程单个使用率:

app耗电监控之cpu使用率监控

最后

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error page怎么解决_以htop为例 看怎么做Android iOS app cpu使用率监控

概述

linux/android 获取进程或系统cpu使用率，可以简单的读取/proc/pid/stat /proc/stat等文件快速搞定。一个cat命令搞定。

而mac os，却比较麻烦，几乎都是通过api编程方式，那是哪些api呢？

android app 和iOS app 怎么做cpu 耗电监控呢？

申明

源码

获取单个进程的 utime 和 stime

cpu整体耗时

总结

cpu整体使用率:

进程单个使用率:

app耗电监控之cpu使用率监控

最后

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error page怎么解决_以htop为例看怎么做Android iOS app cpu使用率监控

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