先看下应用:

import threading
from threading import local
import time obj = local() def task(i):
obj.xxxxx = i
time.sleep()
print(obj.xxxxx,i) for i in range():
t = threading.Thread(target=task,args=(i,))
t.start()

上述代码实现了线程间的隔离,为每个线程开辟了独立的空间,这就是threading.local的作用

再看下面代码

import time
import threading DIC = {} def task(i): ident = threading.get_ident()
if ident in DIC:
DIC[ident]['xxxxx'] = i
else:
DIC[ident] = {'xxxxx':i }
time.sleep() print(DIC[ident]['xxxxx'],i) for i in range():
t = threading.Thread(target=task,args=(i,))
t.start()

上述代码使用字典实现了和threading.local一样的功能,其实就是threading.local实现的原理。

再看下面代码:

import time
import threading
import greenlet DIC = {} def task(i): # ident = threading.get_ident()
ident = greenlet.getcurrent()
if ident in DIC:
DIC[ident]['xxxxx'] = i
else:
DIC[ident] = {'xxxxx':i }
time.sleep() print(DIC[ident]['xxxxx'],i) for i in range():
t = threading.Thread(target=task,args=(i,))
t.start()

上面代码就是threading.local功能的加强版:支持协程!

接着看:

import time
import threading
try:
import greenlet
get_ident = greenlet.getcurrent
except Exception as e:
get_ident = threading.get_ident class Local(object):
DIC = {} def __getattr__(self, item):
ident = get_ident()
if ident in self.DIC:
return self.DIC[ident].get(item)
return None def __setattr__(self, key, value):
ident = get_ident()
if ident in self.DIC:
self.DIC[ident][key] = value
else:
self.DIC[ident] = {key:value} obj = Local() def task(i):
obj.xxxxx = i
time.sleep()
print(obj.xxxxx,i) for i in range():
t = threading.Thread(target=task,args=(i,))
t.start()

上述代码自己实现了threading.local的数据隔离,并支持协程。

05-28 04:58