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 threads
basic_info = (task_basic_info_t)tinfo;
// get threads in the task
kr = 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 thread
kr = 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0-11
return 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 threads
basic_info = (task_basic_info_t)tinfo;
// get threads in the task
kr = 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 thread
kr = vm_deallocate(mach_task_self(), (vm_offset_t)thread_list, thread_count * sizeof(thread_t));
assert(kr == KERN_SUCCESS);
return tot_cpu;
}
@end
