Flask的线程,携程与并发 (2)
pipreqs:
- 项目依赖 pip3 install pipreqs
- 生成依赖文件:pipreqs ./
- 安装依赖文件:pip3 install -r requirements.txt
函数和方法
from types import MethodType,FunctionType
class Foo(object):
def fetch(self):
pass
print(isinstance(Foo.fetch,MethodType))
print(isinstance(Foo.fetch,FunctionType)) # True
obj = Foo()
print(isinstance(obj.fetch,MethodType)) # True
print(isinstance(obj.fetch,FunctionType))
threading.local
多个线程修改同一个数据,复制多份变量给每个线程用,为每个线程开辟一块空间进行数据存储
不用threading.local
# 不用local
from threading import Thread
import time
lqz = -1
def task(arg):
global lqz
lqz = arg
# time.sleep(2)
print(lqz)
for i in range(10):
t = Thread(target=task,args=(i,))
t.start()
threading.local使用
from threading import Thread
from threading import local
import time
from threading import get_ident
# 特殊的对象
lqz = local()
def task(arg):
# 对象.val = 1/2/3/4/5
lqz.value = arg
time.sleep(2)
print(lqz.value)
for i in range(10):
t = Thread(target=task,args=(i,))
t.start()
通过字典自定义threading.local(函数)
from threading import get_ident,Thread
import time
storage = {}
def set(k,v):
ident = get_ident()
if ident in storage:
storage[ident][k] = v
else:
storage[ident] = {k:v}
def get(k):
ident = get_ident()
return storage[ident][k]
def task(arg):
set('val',arg)
v = get('val')
print(v)
for i in range(10):
t = Thread(target=task,args=(i,))
t.start()
面向对象版
from threading import get_ident,Thread
import time
class Local(object):
storage = {}
def set(self, k, v):
ident = get_ident()
if ident in Local.storage:
Local.storage[ident][k] = v
else:
Local.storage[ident] = {k: v}
def get(self, k):
ident = get_ident()
return Local.storage[ident][k]
obj = Local()
def task(arg):
obj.set('val',arg)
v = obj.get('val')
print(v)
for i in range(10):
t = Thread(target=task,args=(i,))
t.start()
通过setattr和getattr实现
from threading import get_ident,Thread
import time
class Local(object):
storage = {}
def __setattr__(self, k, v):
ident = get_ident()
if ident in Local.storage:
Local.storage[ident][k] = v
else:
Local.storage[ident] = {k: v}
def __getattr__(self, k):
ident = get_ident()
return Local.storage[ident][k]
obj = Local()
def task(arg):
obj.val = arg
print(obj.val)
for i in range(10):
t = Thread(target=task,args=(i,))
t.start()
每个对象有自己的存储空间(字典)
from threading import get_ident,Thread
import time
class Local(object):
def __init__(self):
object.__setattr__(self,'storage',{})
def __setattr__(self, k, v):
ident = get_ident()
if ident in self.storage:
self.storage[ident][k] = v
else:
self.storage[ident] = {k: v}
def __getattr__(self, k):
ident = get_ident()
return self.storage[ident][k]
obj = Local()
def task(arg):
obj.val = arg
obj.xxx = arg
print(obj.val)
for i in range(10):
t = Thread(target=task,args=(i,))
t.start()
兼容线程和协程
try:
from greenlet import getcurrent as get_ident
except Exception as e:
from threading import get_ident
from threading import Thread
import time
class Local(object):
def __init__(self):
object.__setattr__(self,'storage',{})
def __setattr__(self, k, v):
ident = get_ident()
if ident in self.storage:
self.storage[ident][k] = v
else:
self.storage[ident] = {k: v}
def __getattr__(self, k):
ident = get_ident()
return self.storage[ident][k]
obj = Local()
def task(arg):
obj.val = arg
obj.xxx = arg
print(obj.val)
for i in range(10):
t = Thread(target=task,args=(i,))
t.start()
partial偏函数
#偏函数的第二个部分(可变参数),按原有函数的参数顺序进行补充,参数将作用在原函数上,最后偏函数返回一个新函数
from functools import partial
def test(a,b,c,d):
return a+b+c+d
tes=partial(test,1,2)
print(tes(3,4))
session源码分析
SecureCookieSessionInterface
-open_session
-save_session
标签:ident,get,Flask,self,携程,storage,线程,import,def
From: https://www.cnblogs.com/joseph-bright/p/17599320.html