解决办法为：重写FileHandler类，用于多线程中日志按天分割。
之后，Logger定义日志的各种参数（格式等）：
实例化日志：
利用sys.stdout将print行导向到你定义的日志文件中，例如：import sys
# make a copy of original stdout route
stdout_backup = sys.stdout
# define the log file that receives your log info
log_file = open("message.log", "w")
# redirect print output to log file
sys.stdout = log_file
print "Now all print info will be written to message.log"
# any command line that you will execute
log_file.close()
# restore the output to initial pattern
sys.stdout = stdout_backup
print "Now this will be presented on screen"
#coding:utf-8#file: FileSplit.py
import os,os.path,time
def FileSplit(sourceFile, targetFolder):
sFile = open(sourceFile, 'r')
number = 100000 #每个小文件中保存100000条数据
dataLine = sFile.readline()
tempData = [] #缓存列表
fileNum = 1
if not os.path.isdir(targetFolder): #如果目标目录不存在，则创建
os.mkdir(targetFolder)
while dataLine: #有数据
for row in range(number):
tempData.append(dataLine) #将一行数据添加到列表中
dataLine = sFile.readline()
if not dataLine :
break
tFilename = os.path.join(targetFolder,os.path.split(sourceFile)[1] + str(fileNum) + ".txt")
tFile = open(tFilename, 'a+') #创建小文件
tFile.writelines(tempData) #将列表保存到文件中
tFile.close()
tempData = [] #清空缓存列表
print(tFilename + " 创建于: " + str(time.ctime()))
fileNum += 1 #文件编号
sFile.close()
if __name__ == "__main__" :
FileSplit("access.log","access")
#coding:utf-8
#file: Map.py
import os,os.path,re
def Map(sourceFile, targetFolder):
sFile = open(sourceFile, 'r')
dataLine = sFile.readline()
tempData = {} #缓存列表
if not os.path.isdir(targetFolder): #如果目标目录不存在，则创建
os.mkdir(targetFolder)
while dataLine: #有数据
p_re = re.compile(r'(GET|POST)\s(.*?)\sHTTP/1.[01]',re.IGNORECASE) #用正则表达式解析数据
match = p_re.findall(dataLine)
if match:
visitUrl = match[0][1]
if visitUrl in tempData:
tempData[visitUrl] += 1
else:
tempData[visitUrl] = 1
dataLine = sFile.readline() #读入下一行数据
sFile.close()
tList = []
for key,value in sorted(tempData.items(),key = lambda k:k[1],reverse = True):
tList.append(key + " " + str(value) + '\n')
tFilename = os.path.join(targetFolder,os.path.split(sourceFile)[1] + "_map.txt")
tFile = open(tFilename, 'a+') #创建小文件
tFile.writelines(tList) #将列表保存到文件中
tFile.close()
if __name__ == "__main__" :
Map("access\\access.log1.txt","access")
Map("access\\access.log2.txt","access")
Map("access\\access.log3.txt","access")
#coding:utf-8
#file: Reduce.py
import os,os.path,re
def Reduce(sourceFolder, targetFile):
tempData = {} #缓存列表
p_re = re.compile(r'(.*?)(\d{1,}$)',re.IGNORECASE) #用正则表达式解析数据
for root,dirs,files in os.walk(sourceFolder):
for fil in files:
if fil.endswith('_map.txt'): #是reduce文件
sFile = open(os.path.abspath(os.path.join(root,fil)), 'r')
dataLine = sFile.readline()
while dataLine: #有数据
subdata = p_re.findall(dataLine) #用空格分割数据
#print(subdata[0][0]," ",subdata[0][1])
if subdata[0][0] in tempData:
tempData[subdata[0][0]] += int(subdata[0][1])
else:
tempData[subdata[0][0]] = int(subdata[0][1])
dataLine = sFile.readline() #读入下一行数据
sFile.close()
tList = []
for key,value in sorted(tempData.items(),key = lambda k:k[1],reverse = True):
tList.append(key + " " + str(value) + '\n')
tFilename = os.path.join(sourceFolder,targetFile + "_reduce.txt")
tFile = open(tFilename, 'a+') #创建小文件
tFile.writelines(tList) #将列表保存到文件中
tFile.close()
if __name__ == "__main__" :
Reduce("access","access")
