iOS 实时获取当前应用消耗的CPU和内存

2024-06-13 06:18

本文主要是介绍iOS 实时获取当前应用消耗的CPU和内存,希望对大家解决编程问题提供一定的参考价值,需要的开发者们随着小编来一起学习吧!

https://www.cnblogs.com/mobilefeng/p/4977783.html
这一遍文章对获取app 消耗的CPU和内存问题的多种方案做了对比,没有实际去测试。

1 获取应用消耗的CPU

float cpu_usage()
{kern_return_t kr;task_info_data_t tinfo;mach_msg_type_number_t task_info_count;task_info_count = TASK_INFO_MAX;kr = task_info(mach_task_self(), TASK_BASIC_INFO, (task_info_t)tinfo, &task_info_count);if (kr != KERN_SUCCESS) {return -1;}task_basic_info_t      basic_info;thread_array_t         thread_list;mach_msg_type_number_t thread_count;thread_info_data_t     thinfo;mach_msg_type_number_t thread_info_count;thread_basic_info_t basic_info_th;uint32_t stat_thread = 0; // Mach threadsbasic_info = (task_basic_info_t)tinfo;// get threads in the taskkr = task_threads(mach_task_self(), &thread_list, &thread_count);if (kr != KERN_SUCCESS) {return -1;}if (thread_count > 0)stat_thread += thread_count;long tot_sec = 0;long tot_usec = 0;float tot_cpu = 0;int j;for (j = 0; j < thread_count; j++){thread_info_count = THREAD_INFO_MAX;kr = thread_info(thread_list[j], THREAD_BASIC_INFO,(thread_info_t)thinfo, &thread_info_count);if (kr != KERN_SUCCESS) {return -1;}basic_info_th = (thread_basic_info_t)thinfo;if (!(basic_info_th->flags & TH_FLAGS_IDLE)) {tot_sec = tot_sec + basic_info_th->user_time.seconds + basic_info_th->system_time.seconds;tot_usec = tot_usec + basic_info_th->user_time.microseconds + basic_info_th->system_time.microseconds;tot_cpu = tot_cpu + basic_info_th->cpu_usage / (float)TH_USAGE_SCALE * 100.0;}} // for each threadkr = vm_deallocate(mach_task_self(), (vm_offset_t)thread_list, thread_count * sizeof(thread_t));assert(kr == KERN_SUCCESS);return tot_cpu;
}

对于该方法获取的CPU消耗情况与Xcode 实时监控的CPU消耗情况基本一致。

2. 获取应用消耗的内存

该方法计算出来的内存消耗情况,与Xcode 统计的消耗情况相差太大(参考性不太大)。

还是贴出来:

// 有的是除以1024,有的是除以1000。
+ (float)memoryUsage
{vm_size_t memory = memory_usage();return memory / 1000.0 /1000.0;
}vm_size_t memory_usage(void) {struct task_basic_info info;mach_msg_type_number_t size = sizeof(info);kern_return_t kerr = task_info(mach_task_self(), TASK_BASIC_INFO, (task_info_t)&info, &size);return (kerr == KERN_SUCCESS) ? info.resident_size : 0; // size in bytes
}

然后写一个单例类,添加一个定时器,隔一段时间调用一下该方法获取当前的内存和CPU消耗情况,同时写入本地文件中,以便后期分析。

简单写了一下,实现如下:

#import "HLMonitor.h"
#import <mach/mach.h>
#import <sys/time.h>static HLMonitor *instance = nil;@interface HLMonitor ()@property (nonatomic, assign) NSTimeInterval  timeInterval;@end@implementation HLMonitor+ (instancetype)sharedInstance
{return [[[self class] alloc] init];
}- (instancetype)init
{static dispatch_once_t onceToken;dispatch_once(&onceToken, ^{instance = [super init];});return instance;
}+ (instancetype)allocWithZone:(struct _NSZone *)zone
{static dispatch_once_t onceToken;dispatch_once(&onceToken, ^{instance = [super allocWithZone:zone];});return instance;
}- (void)startMonitorWithTimeInterval:(NSTimeInterval)timeInterval
{if (timeInterval <= 0) {timeInterval = 1.0;}self.timeInterval = timeInterval;NSString *filePath = [HLMonitor cpu_memoryLogPath];NSFileHandle *fileHandler = [NSFileHandle fileHandleForWritingAtPath:filePath];[fileHandler seekToEndOfFile];NSString *startLog = @"******************************开始统计cpu 和内存************************\n";[fileHandler writeData:[startLog dataUsingEncoding:NSUTF8StringEncoding]];[self saveMonitorLog];
}- (void)saveMonitorLog
{dispatch_after(dispatch_time(DISPATCH_TIME_NOW, (int64_t)(1.0 * NSEC_PER_SEC)), dispatch_get_main_queue(), ^{float cpuUsage = [HLMonitor cpuUsage];float memoryUsage = [HLMonitor memoryUsage];struct tm* timeNow = [HLMonitor getCurTime];NSString *monitorLog = [NSString stringWithFormat:@"%d-%d-%d %d:%d:%d.%ld | cpu 使用率:%.2f ----内存使用:%f\n",timeNow->tm_year,timeNow->tm_mon,timeNow->tm_mday,timeNow->tm_hour,timeNow->tm_min,timeNow->tm_sec,timeNow->tm_gmtoff,cpuUsage,memoryUsage];NSLog(@"%@",monitorLog);NSString *filePath = [HLMonitor cpu_memoryLogPath];NSFileHandle *fileHandler = [NSFileHandle fileHandleForWritingAtPath:filePath];[fileHandler seekToEndOfFile];[fileHandler writeData:[monitorLog dataUsingEncoding:NSUTF8StringEncoding]];[self saveMonitorLog];});
}+ (NSString *)cpu_memoryLogPath
{struct tm* timeNow = [self getCurTime];NSArray* path = NSSearchPathForDirectoriesInDomains(NSCachesDirectory, NSUserDomainMask, YES);NSString *nFilePath = [path objectAtIndex:0];nFilePath = [nFilePath stringByAppendingPathComponent:@"CPUMemoryUsage"];if (![[NSFileManager defaultManager] fileExistsAtPath:nFilePath]) {[[NSFileManager defaultManager] createDirectoryAtPath:nFilePath withIntermediateDirectories:NO attributes:nil error:nil];}NSString *fileName = [NSString stringWithFormat:@"%d_%d_%d_CPU_Memory_Usage.log",timeNow->tm_year,timeNow->tm_mon,timeNow->tm_mday];nFilePath = [nFilePath stringByAppendingPathComponent:fileName];if (![[NSFileManager defaultManager] fileExistsAtPath:nFilePath]) {BOOL result = [[NSFileManager defaultManager] createFileAtPath:nFilePath contents:nil attributes:nil];NSLog(@"%d",result);}return nFilePath;
}+ (struct tm*)getCurTime
{//时间格式struct timeval ticks;gettimeofday(&ticks, nil);time_t now;struct tm* timeNow;time(&now);timeNow = localtime(&now);timeNow->tm_gmtoff = ticks.tv_usec/1000;  //毫秒timeNow->tm_year += 1900;    //tm中的tm_year是从1900至今数timeNow->tm_mon  += 1;       //tm_mon范围是0-11return timeNow;
}+ (float)cpuUsage
{float cpu = cpu_usage();return cpu;
}+ (float)memoryUsage
{vm_size_t memory = memory_usage();return memory / 1000.0 /1000.0;
}vm_size_t memory_usage(void) {struct task_basic_info info;mach_msg_type_number_t size = sizeof(info);kern_return_t kerr = task_info(mach_task_self(), TASK_BASIC_INFO, (task_info_t)&info, &size);return (kerr == KERN_SUCCESS) ? info.resident_size : 0; // size in bytes
}float cpu_usage()
{kern_return_t kr;task_info_data_t tinfo;mach_msg_type_number_t task_info_count;task_info_count = TASK_INFO_MAX;kr = task_info(mach_task_self(), TASK_BASIC_INFO, (task_info_t)tinfo, &task_info_count);if (kr != KERN_SUCCESS) {return -1;}task_basic_info_t      basic_info;thread_array_t         thread_list;mach_msg_type_number_t thread_count;thread_info_data_t     thinfo;mach_msg_type_number_t thread_info_count;thread_basic_info_t basic_info_th;uint32_t stat_thread = 0; // Mach threadsbasic_info = (task_basic_info_t)tinfo;// get threads in the taskkr = task_threads(mach_task_self(), &thread_list, &thread_count);if (kr != KERN_SUCCESS) {return -1;}if (thread_count > 0)stat_thread += thread_count;long tot_sec = 0;long tot_usec = 0;float tot_cpu = 0;int j;for (j = 0; j < thread_count; j++){thread_info_count = THREAD_INFO_MAX;kr = thread_info(thread_list[j], THREAD_BASIC_INFO,(thread_info_t)thinfo, &thread_info_count);if (kr != KERN_SUCCESS) {return -1;}basic_info_th = (thread_basic_info_t)thinfo;if (!(basic_info_th->flags & TH_FLAGS_IDLE)) {tot_sec = tot_sec + basic_info_th->user_time.seconds + basic_info_th->system_time.seconds;tot_usec = tot_usec + basic_info_th->user_time.microseconds + basic_info_th->system_time.microseconds;tot_cpu = tot_cpu + basic_info_th->cpu_usage / (float)TH_USAGE_SCALE * 100.0;}} // for each threadkr = vm_deallocate(mach_task_self(), (vm_offset_t)thread_list, thread_count * sizeof(thread_t));assert(kr == KERN_SUCCESS);return tot_cpu;
}@end

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