python threading模組有兩類鎖:互斥鎖(threading.Lock )和可重用鎖(threading.RLock)。兩者的用法基本相同,具體如下:
lock = threading.Lock()
lock.acquire()
dosomething……
lock.release()
RLock的用法是將threading.Lock()修改為threading.RLock()。便於理解,先來段代碼:
[root@361way lock]# cat lock1.py
#!/usr/bin/env python
# coding=utf-8
import threading # 匯入threading模組
import time # 匯入time模組
class mythread(threading.Thread): # 通過繼承建立類
def __init__(self,threadname): # 初始化方法
# 調用父類的初始化方法
threading.Thread.__init__(self,name = threadname)
def run(self): # 重載run方法
global x # 使用global表明x為全域變數
for i in range(3):
x = x + 1
time.sleep(5) # 調用sleep函數,讓線程休眠5秒
print x
tl = [] # 定義列表
for i in range(10):
t = mythread(str(i)) # 類執行個體化
tl.append(t) # 將類對象添加到列表中
x=0 # 將x賦值為0
for i in tl:
i.start()
這裡執行的結果和想想的不同,結果如下:
[root@361way lock]# python lock1.py
30
30
30
30
30
30
30
30
30
30
為什麼結果都是30呢?關鍵在於global 行和 time.sleep行。
1、由於x是一個全域變數,所以每次迴圈後 x 的值都是執行後的結果值;
2、由於該代碼是多線程的操作,所以在sleep 等待的時候,之前已經執行完成的線程會在這等待,而後續的進程在等待的5秒這段時間也執行完成 ,等待print。同樣由於global 的原理,x被重新斌值。所以列印出的結果全是30 ;
3、便於理解,可以嘗試將sleep等注釋,你再看下結果,就會發現有不同。
在實際應用中,如抓取程式等,也會出現類似於sleep等待的情況。在前後調用有順序或列印有輸出的時候,就會現並發競爭,造成結果或輸出紊亂。這裡就引入了鎖的概念,上面的代碼修改下,如下:
[root@361way lock]# cat lock2.py
#!/usr/bin/env python
# coding=utf-8
import threading # 匯入threading模組
import time # 匯入time模組
class mythread(threading.Thread): # 通過繼承建立類
def __init__(self,threadname): # 初始化方法
threading.Thread.__init__(self,name = threadname)
def run(self): # 重載run方法
global x # 使用global表明x為全域變數
lock.acquire() # 調用lock的acquire方法
for i in range(3):
x = x + 1
time.sleep(5) # 調用sleep函數,讓線程休眠5秒
print x
lock.release() # 調用lock的release方法
lock = threading.Lock() # 類執行個體化
tl = [] # 定義列表
for i in range(10):
t = mythread(str(i)) # 類執行個體化
tl.append(t) # 將類對象添加到列表中
x=0 # 將x賦值為0
for i in tl:
i.start() # 依次運行線程
執行的結果如下:
[root@361way lock]# python lock2.py
3
6
9
12
15
18
21
24
27
30
加鎖的結果會造成阻塞,而且會造成開鎖大。會根據順序由並發的多線程按順序輸出,如果後面的線程執行過快,需要等待前面的進程結束後其才能結束 --- 寫的貌似有點像隊列的概念了 ,不過在加鎖的很多情境下確實可以通過隊列去解決。
最後,再引入一個樣本,在股票量化分析(二)PE和流通市值篇中,介紹了如何採集stock的兩個指標,並按結果輸出,不過在輸出的時候發有會出現輸出紊亂,如下:
threading-lock
如600131和000708的stockid就輸出到了同一行,雖然通過多線程使執行速度快了很多 ,但這樣很不美觀,也不便於後續處理。
1、輸出競爭紊亂代碼
#!/usr/bin/python
#coding=utf-8
# 1、pe在 0~20 之間的企業
# 2、流通股本小於50億的企業
import urllib2
import time
import json
from threading import Thread
def get_pe(stockid):
try:
url = 'http://d.10jqka.com.cn/v2/realhead/hs_%s/last.js' % stockid
send_headers = {
'Host':'d.10jqka.com.cn',
'Referer':'http://stock.10jqka.com.cn/',
'Accept':'application/json, text/javascript, */*; q=0.01',
'Connection':'keep-alive',
'User-Agent':'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/38.0.2125.122 Safari/537.36',
'X-Forwarded-For':'124.160.148.178',
'X-Requested-With':'XMLHttpRequest'
}
req = urllib2.Request(url,headers=send_headers)
f = urllib2.urlopen(req)
data = f.read().split('items":',1)[1]
data = data.split('})',1)[0]
J_data = json.loads(data)
#J_data = json.dumps(data,indent=4,encoding='utf-8')
stockpe = J_data['2034120']
stockname = J_data['name']
sumvalue = J_data['3475914']
currentprice = J_data['10']
#print stockid,stockname,stockpe
return stockname,stockpe,sumvalue,currentprice
except urllib2.HTTPError, e:
#return stockid ,'get happed httperror'
return e.code
def cond(stockid,pe,asset):
pe = int(pe)
asset = int(asset)
try:
stockname,stockpe,sumvalue,currentprice = get_pe(stockid)
if sumvalue:
Billvalue = round(float(sumvalue)/1000/1000/100)
else:
Billvalue = 0
if stockpe:
if float(stockpe) > 0 and float(stockpe) < pe and Billvalue < asset :
print stockid,stockname,currentprice,stockpe,Billvalue
#else:
# print stockid
except TypeError ,e:
print stockid ,'get is error'
if __name__ == '__main__':
threads = []
print 'stockid stockname currentprice stockpe Billvalue'
stockids = [line.strip() for line in open("stock_exp.txt", 'r')]
nloops = range(len(stockids))
for stockid in stockids:
t = Thread(target=cond, args=(stockid,28,80))
threads.append(t)
for i in nloops:
threads[i].start()
for i in nloops:
threads[i].join()
2、加鎖後的代碼
#!/usr/bin/python
#coding=utf-8
# 1、pe在 0~20 之間的企業
# 2、流通股本小於50億的企業
import threading
import urllib2
import time
import json
lock = threading.Lock()
def get_pe(stockid):
try:
url = 'http://d.10jqka.com.cn/v2/realhead/hs_%s/last.js' % stockid
send_headers = {
'Host':'d.10jqka.com.cn',
'Referer':'http://stock.10jqka.com.cn/',
'Accept':'application/json, text/javascript, */*; q=0.01',
'Connection':'keep-alive',
'User-Agent':'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/38.0.2125.122 Safari/537.36',
'X-Forwarded-For':'124.160.148.178',
'X-Requested-With':'XMLHttpRequest'
}
req = urllib2.Request(url,headers=send_headers)
f = urllib2.urlopen(req)
data = f.read().split('items":',1)[1]
data = data.split('})',1)[0]
J_data = json.loads(data)
#J_data = json.dumps(data,indent=4,encoding='utf-8')
stockpe = J_data['2034120']
stockname = J_data['name']
sumvalue = J_data['3475914']
currentprice = J_data['10']
#print stockid,stockname,stockpe
return stockname,stockpe,sumvalue,currentprice
except urllib2.HTTPError, e:
#return stockid ,'get happed httperror'
return e.code
def cond(stockid,pe,asset):
pe = int(pe)
asset = int(asset)
try:
stockname,stockpe,sumvalue,currentprice = get_pe(stockid)
if sumvalue:
Billvalue = round(float(sumvalue)/1000/1000/100)
else:
Billvalue = 0
if stockpe:
if float(stockpe) > 0 and float(stockpe) < pe and Billvalue < asset :
lock.acquire()
print stockid,stockname,currentprice,stockpe,Billvalue
lock.release()
#else:
# print stockid
except TypeError ,e:
print stockid ,'get is error'
if __name__ == '__main__':
threads = []
print 'stockid stockname currentprice stockpe Billvalue'
stockids = [line.strip() for line in open("stock_exp.txt", 'r')]
for stockid in stockids:
t = threading.Thread(target=cond, args=(stockid,25,50))
threads.append(t)
t.start()