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python垃圾回收,判断内存占用,手动回收内存,二
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以下为例子,判断计算机内存并释放程序内存。
# coding=utf8
import time
import psutil, gc, commands,os from logger_until import LoggerUntil
from until import keep_circulating logger = LoggerUntil(name="Monitor").getlog(logfilename='Monitor.log', loglevel=2, add_StreamHandler=1) need_monitor_procces_names = [ ##需要检测的进程的cmd命令放到这里,支持模糊匹配
'touna0627.py',
'dailiip.py',
'redis-server',
'mongod',
] class Monitor(object):
def __init__(self):
self.specified_process_list = self.get_specified_process()
self.current_process = self.get_current_process() @staticmethod
def print_all_cmdlines():
for pid in psutil.pids():
p = psutil.Process(pid)
print p.cmdline() @staticmethod
def get_specified_process():
all_pids = psutil.pids()
process_list = []
for pid in all_pids:
p = psutil.Process(pid)
p_cmdline = p.cmdline()
for argx in p_cmdline:
for name in need_monitor_procces_names:
if argx.find(name) > -1:
if p.status() != 'stopped':
process_list.append(p) p_pid_set = set()
process_list2 = []
for p in process_list:
if p.pid not in p_pid_set:
process_list2.append(p)
p_pid_set.add(p.pid)
return process_list2 @staticmethod
def monitor_system():
psutil.cpu_percent()
time.sleep(1)
mem = psutil.virtual_memory() mem_total = mem.total / 1000000
mem_available = mem.available / 1000000
mem_percent_str = str(mem.percent) + '%' cpu_count = psutil.cpu_count()
cpu_percent_str = str(psutil.cpu_percent()) + '%' msg = '本机总内存是:{0}M , 本机可用内存是:{1}M, 本机内存使用率是:{2}, 本机cpu核数是:{3}, 本机cpu使用率是:{4}\n\n'.format(mem_total, mem_available, mem_percent_str, cpu_count, cpu_percent_str)
logger.info(msg) def monitor_specified_process(self):
for p in self.specified_process_list:
p.cpu_percent(None)
time.sleep(1)
for p in self.specified_process_list:
# p = psutil.Process(0)
""":type :psutil.Process"""
cmdline_str = ' '.join(p.cmdline()).ljust(60, ' ')
p_cpu_percent_str = str(round(p.cpu_percent(), 2)) + '%'
p_memory_percent_str = str(round(p.memory_percent(), 2)) + '%'
p_strated_time = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(p.create_time()))
p_pid_str = str(p.pid) msg = '进程' + cmdline_str + ' 的pid是:' + p_pid_str + ' cpu使用率是:' + p_cpu_percent_str + ' 内存使用率是:' + p_memory_percent_str \
+ ' 进程的启动时间是:' + p_strated_time
logger.info(msg) @staticmethod
def get_current_process():
return psutil.Process() def is_need_release(self,threshold):
print self.current_process.memory_percent()
if self.current_process.memory_percent() < threshold:
return 0
else:
logger.info('回收当前 %s 进程id的内存' % self.current_process.pid)
return 1 def free_current_process_memory(self, threshold):
"""回收python所处的当前进程的内存"""
if self.is_need_release(threshold) == 1:
gc.collect() class MemoryReleaser():
def __init__(self,threshold,cmd_name_str='touna0627.py'):
"""
:type threshold:float
"""
self.threshold = threshold # 内存使用率的阈值
self.cmd_name_str =cmd_name_str
self.stutus, self.output = self.__get_memory_available() def __get_memory_available(self):
# status, output = commands.getstatusoutput("free -m | grep Mem | awk '{print $4}'") ##shell命令查询计算机可用内存
status, output = commands.getstatusoutput("ps aux | grep %s | sort -k4,4nr|head -1| awk '{print $4}'"%(self.cmd_name_str)) ##shell命令查询程序的内存使用率
return status, output def release_memory(self):
if float(self.output) > self.threshold:
logger.info('程序的内存使用率是 {}% ,程序需要释放内存'.format(self.output))
gc.collect() @keep_circulating(10)
def monitoring():
MemoryReleaser(40).release_memory() ###这一行来释放内存
monitor = Monitor()
monitor.monitor_specified_process()
monitor.monitor_system() if __name__ == "__main__":
pass
a = list(range(10000000))
del a
time.sleep(30)
monitoring()
如果把MemoryReleaser(600).release_memory() 注释掉,程序将一直是占用大内存。
程序中使用了
free -m | grep Mem | awk '{print $7}'
来判断计算机可用内存。 虽然psutil可以判断内存,但使用psutil判断内存,内存就无法回收了。 把MemoryReleaser(600).release_memory() 放到monitoring函数中的最后一行,那就回收不了内存了。 尝试了很多次使用
if psutil.Process().memory_percent() > 0:
gc.collect() 这种方式不能回收内存。
写成if true是可以回收内存的。