1.python之threading.local
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当每个线程在执行 val.num=1 ,在内部会为此线程开辟一个空间,来存储 num=1
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val.num,找到此线程自己的内存地址去取自己存储 num
import time import threading val1 = threading.local() def task(i): val.num = i time.sleep(1) print(val.num) for i in range(4): t = threading.Thread(target=task,args=(i,)) t.start()
2. 线程唯一标识
get_ident
import threading from threading import get_ident def task(): ident = get_ident() print(ident) for i in range(20): t = threading.Thread(target=task) t.start()
3. 自定义threading.local
储存结构:
storage = {
1112:{'x1':1}
1113:{'x1':2}
1114:{'x1':3}
1115:{'x1':4}
}
import threading class Local(object): def __init__(self): object.__setattr__(self,'storage',{}) def __setattr__(self, key, value): ident = threading.get_ident() if ident in self.storage: self.storage[ident][key] = value else: self.storage[ident] = {key:value} def __getattr__(self, item): ident = threading.get_ident() if ident not in self.storage: return return self.storage[ident].get(item) local = Local() def task(arg): local.x1 = arg print(local.x1) for i in range(5): t = threading.Thread(target=task,args=(i,)) t.start()
4. 加强版threading.local
储存结构:
storage = {
1111:{'x1':[]},
1112:{'x1':[]}
1113:{'x1':[]}
1114:{'x1':[]}
1115:{'x1':[]},
1116:{'x1':[]}
}
import threading class Local(object): def __init__(self): object.__setattr__(self,'storage',{}) def __setattr__(self, key, value): ident = threading.get_ident() if ident in self.storage: self.storage[ident][key].append(value) else: self.storage[ident] = {key:[value,]} def __getattr__(self, item): ident = threading.get_ident() if ident not in self.storage: return return self.storage[ident][item][-1] local = Local() def task(arg): local.x1 = arg print(local.x1) for i in range(5): t = threading.Thread(target=task,args=(i,)) t.start()