[英]Python Threading - How do i use it to run multiple tasks at time?
我是Python的新手,並且我從stackoverflow社區獲得了巨大的幫助,以便將我的shellscript遷移到python。 但是再次由於該腳本在ax結果上運行而使我難以實現線程,因此使其運行起來更快,例如,腳本返回120台服務器來運行,我想一次運行5台服務器並擁有一個隊列。
我不希望在線程上運行的方法是在以下條件之后:(我用注釋標記)
if checkServer.checkit(host,port):
吼叫,是extract_adapter.py文件的內容:
import psycopg2
import urllib2
import base64
import sys
import re
import lxml.html as LH
import checkServer
def extractAdapter(env,family,iserver,login,password,prefix,proxyUser,proxyPass,proxyHost,service):
print "Starting on \t"+iserver
proxy_auth = "http://"+proxyUser+":"+proxyPass+"@"+proxyHost
proxy_handler = urllib2.ProxyHandler({"http": proxy_auth})
opener = urllib2.build_opener(proxy_handler)
urllib2.install_opener(opener)
request = urllib2.Request("http://"+iserver+"/invoke/listRegisteredAdapters")
base64string = base64.encodestring('%s:%s' % (login, password)).replace('\n', '')
request.add_header("Authorization", "Basic %s" % base64string)
response = urllib2.urlopen(request)
html = response.read()
doc = LH.fromstring(html)
tds = (td.text_content() for td in doc.xpath("//td[not(*)]"))
for adapterType, adapterDescription in zip(*[tds]*2):
proxy_auth = "http://"+proxyUser+":"+proxyPass+"@"+proxyHost
proxy_handler = urllib2.ProxyHandler({"http": proxy_auth})
opener = urllib2.build_opener(proxy_handler)
opener = urllib2.build_opener()
urllib2.install_opener(opener)
request = urllib2.Request("http://"+iserver+service+""+adapterType)
base64string = base64.encodestring('%s:%s' % (login, password)).replace('\n', '')
request.add_header("Authorization", "Basic %s" % base64string)
response = urllib2.urlopen(request)
html2 = response.read()
doc = LH.fromstring(html2)
tds = (td.text_content() for td in doc.xpath("//td[not(*)]"))
for connectionAlias,packageName,connectionFactoryType,mcfDisplayName,connectionState,hasError in zip(*[tds]*6):
cur.execute("INSERT INTO wip.info_adapter (env,family,iserver,prefix,package,adapter_type,connection_name,status) values (%s,%s,%s,%s,%s,%s,%s,%s)",
(env,family,iserver,prefix,packageName,adapterType,connectionAlias,connectionState))
con.commit()
################################################################################
def extract(env):
global cur,con
con = None
try:
con = psycopg2.connect(database='xx', user='xx',password='xxx',host='localhost')
cur = con.cursor()
qry=" random non important query"
cur.execute(qry)
data = cur.fetchall()
for result in data:
family = result[0]
prefix = result[1]
iserver = result[2]
version = result[3]
login = result[4]
password = result[5]
service = result[6]
proxyHost = result[7]
proxyUser = result[8]
proxyPass = result[9]
parts=iserver.split(":")
host=parts[0]
port=parts[1]
if checkServer.checkit(host,port):
##SUPOSE TO AS START THREAD
if version == '7' or version == '8':
extractAdapter(env,family,iserver,login,password,prefix,proxyUser,proxyPass,proxyHost,service)
elif version == '60' or version == '61':
print "Version 6.0 and 6.1 not supported yet"
else:
print iserver+"is offline"
#TO END THREAD
except psycopg2.DatabaseError, e:
print 'Error %s' % e
sys.exit(1)
finally:
if con:
con.close()
這就是我在runme.py上調用方法提取的方式
import extract_adapter_thread
from datetime import datetime
startTime = datetime.now()
print"------------------------------"
extract_adapter_thread.extract('TEST')
print"------------------------------"
print(datetime.now()-startTime)
順便說一句,代碼運行正常。 沒有錯誤。
由於Global Interpreter Lock的存在,在非IO綁定的問題上,線程將在Python中嚴重阻塞。 因此,您最好進行多重處理 -Queue類附帶了此處理 (有關使用mp隊列的示例,請參見此SO Link )。
這應該使您可以同時處理許多單獨的流程(例如,一次批出5個作業,而不是120個)。 請注意,進程的開銷比線程的開銷高,因此對於小型任務,您將為在線程上使用多處理付出代價。 您的任務聽起來足夠大,足以支付此類費用。
如果一切都是線程安全的,則可以使用threading
模塊:
import threading
starttime=datetime.now()
print "-"*10
code=threading.thread(target=extract_adapter_thread.extract,args=['TEST'])
code.daemon=True
code.start()
print "-"*10
print(datetime.now()-starttime)
我真的不知道這是否會有所幫助,但這只是我在高清機上擁有的一小段代碼……好吧。 了解並行或順序ping某些ip的區別是一件基本的事情(不過需要linux)。 這很簡單,不能直接解決您的特定問題,但是...由於您說過您是Python的新手 ,所以它可能會給您一些想法。
#!/usr/bin/env python
import datetime
import subprocess
import threading
ipsToPing = [
"google.com",
"stackoverflow.com",
"yahoo.com",
"terra.es",
]
def nonThreadedPinger():
start = datetime.datetime.now()
for ipToPing in ipsToPing:
print "Not-threaded ping to %s" % ipToPing
subprocess.call(["/bin/ping", "-c", "3", "-W", "1.0", ipToPing], stdout=subprocess.PIPE, stderr=subprocess.PIPE)
end = datetime.datetime.now()
print ("Non threaded ping of %s ips took: %s." % (len(ipsToPing), end-start))
def _threadedPingerAux(ipToPing):
print "Threaded ping to %s" % ipToPing
subprocess.call(["/bin/ping", "-c", "3", "-W", "1.0", ipToPing], stdout=subprocess.PIPE, stderr=subprocess.PIPE)
def threadedPinger():
retval = dict.fromkeys(ipsToPing, -1)
threads = list()
start = datetime.datetime.now()
for ipToPing in ipsToPing:
thread = threading.Thread(target=_threadedPingerAux, args=[ipToPing])
thread.start()
threads.append(thread)
for thread in threads:
thread.join()
end = datetime.datetime.now()
print ("Treaded ping of %s ips took: %s" % (len(ipsToPing), end-start))
if __name__ == "__main__":
threadedPinger()
nonThreadedPinger()
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