我有两个大的文本文件,checksums_1.txt和checksums_2.txt,我想解析这些文件并删除它们之间的重复,并将唯一的行合并到一个文件中。
每个文件对每一行都有如下结构。
大小,md5,路径
示例: Checksums_1.txt
9565, a4fs614as6fas4fa4s46fsaf1, /mnt/app/1tier/2tier/filename.exe
9565, a4fs614as6fas4fa4s46fsaf1, /mnt/app/1tier/2tier/filename2.exe示例: Checksums_2.txt
9565, a4fs614as6fas4fa4s46fsaf1, /mnt/temp/1tier/2tier/filename.exe
9565, a4fs614as6fas4fa4s46fsaf1, /mnt/temp/1tier/2tier/filename2.exe
9565, a4fs614as6fas4fa4s46fsaf1, /mnt/temp/1tier/2tier/newfile.exe用于检查checksums_1.txt和checksums_2.txt之间的部分是在挂载点/mnt/app/和/mnt/temp/ (换句话说,从每一行的开头到挂载点/mnt/temp/或/mnt/app/的末尾)之后。
checksums_1.txt中的数据更为重要,因此,如果发现重复的数据,则必须将checksums_1.txt中的行移到合并文件中。
部分Checksums_1.txt
1058,b8203a236b4f15316e516165a6546666,/mnt/app/Certificados/ca.crt
2694,8a815adefde4fa0c263e74832b15de64,/mnt/app/Certificados/ca.db.certs/01.pem
136,77bf2e5313dbaac4df76a4b72df2e2ad,/mnt/app/Certificados/ca.db.index部分Checksums_2.txt
1058,b8203a236b4f1531616318284202c9e6,/mnt/temp/Certificados/ca.crt
3,72b2ac90f7f3ff075a937d6be8fc3dc3,/mnt/temp/Certificados/ca.db.serial
2694,8a815adefde4fa0c263e74832b15de64,/mnt/temp/Certificados/ca.db.certs/01.pem
136,77bf2e5313dbaac4df76a4b72df2e2ad,/mnt/temp/Certificados/ca.db.index合并文件的示例
1058,b8203a236b4f15316e516165a6546666,/mnt/app/Certificados/ca.crt
3,72b2ac90f7f3ff075a937d6be8fc3dc3,/mnt/temp/Certificados/ca.db.serial
2694,8a815adefde4fa0c263e74832b15de64,/mnt/app/Certificados/ca.db.certs/01.pem
136,77bf2e5313dbaac4df76a4b72df2e2ad,/mnt/app/Certificados/ca.db.index发布于 2015-05-19 18:29:05
假设这两个文件都不是很大,下面的python脚本也将完成这项工作。
两个文件都由脚本读取。file_1中的行(具有优先级的文件)由您在head部分(在示例/mnt/app/中)为文件输入的目录分隔。
随后,file_1中的行被写入输出文件(合并文件)。同时,如果行中出现标识字符串(挂载点后面的部分),则从file_2中删除行列表中的行。最后,file_2的“剩余”行(在file_1中不存在dupe )也被写入输出文件。结果:
file_1:
1058,b8203a236b4f15316e516165a6546666,/mnt/app/Certificados/ca.crt
2694,8a815adefde4fa0c263e74832b15de64,/mnt/app/Certificados/ca.db.certs/01.pem
136,77bf2e5313dbaac4df76a4b72df2e2ad,/mnt/app/Certificados/ca.db.indexfile_2:
1058,b8203a236b4f15316e516165a6546666,/mnt/app/Certificados/ca.crt
3,72b2ac90f7f3ff075a937d6be8fc3dc3,/mnt/temp/Certificados/ca.db.serial
2694,8a815adefde4fa0c263e74832b15de64,/mnt/app/Certificados/ca.db.certs/01.pem
136,77bf2e5313dbaac4df76a4b72df2e2ad,/mnt/app/Certificados/ca.db.index合并:
1058,b8203a236b4f15316e516165a6546666,/mnt/app/Certificados/ca.crt
2694,8a815adefde4fa0c263e74832b15de64,/mnt/app/Certificados/ca.db.certs/01.pem
136,77bf2e5313dbaac4df76a4b72df2e2ad,/mnt/app/Certificados/ca.db.index
3,72b2ac90f7f3ff075a937d6be8fc3dc3,/mnt/temp/Certificados/ca.db.serial#!/usr/bin/env python3
#---set the path to file1, file2 and the mountpoint used in file1 below
f1 = "/path/to/file_1"; m_point = "/mnt/app"; f2 = "/path/to/file_2"
merged = "/path/to/merged_file"
#---
lines1 = [(l, l.split(m_point)[-1]) for l in open(f1).read().splitlines()]
lines2 = [l for l in open(f2).read().splitlines()]
for l in lines1:
open(merged, "a+").write(l[0]+"\n")
for line in [line for line in lines2 if l[1] in line]:
lines2.remove(line)
for l in lines2:
open(merged, "a+").write(l+"\n")merge.pyf1 (file_1)、f2、合并文件的路径和file_1中提到的挂载点的路径。或者稍微短一点:
#!/usr/bin/env python3
#---set the path to file1, file2 and the mountpoint used in file1 below
f1 = "/path/to/file_1"; m_point = "/mnt/app"; f2 = "/path/to/file_2"
merged = "/path/to/merged_file"
#---
lines = lambda f: [l for l in open(f).read().splitlines()]
lines1 = lines(f1); lines2 = lines(f2); checks = [l.split(m_point)[-1] for l in lines1]
for item in sum([[l for l in lines2 if c in l] for c in checks], []):
lines2.remove(item)
for item in lines1+lines2:
open(merged, "a+").write(item+"\n")发布于 2015-05-19 15:00:20
如果您愿意使用python (因此,如果性能不是问题),可以使用以下脚本实现所需的功能:
#!/usr/bin/env python3
import sys
import csv
import re
mountpoint1 = "/mnt/app/"
mountpoint2 = "/mnt/temp/"
if (len(sys.argv) != 4):
print('Usage: {} <input file 1> <input file 2> <output file>'.format(sys.argv[0]))
exit(1)
inputFileName1 = sys.argv[1]
inputFileName2 = sys.argv[2]
outputFileName = sys.argv[3]
# We place entries from both input files in the same dictionary
# The key will be the filename stripped of the mountpoint
# The value will be the whole line
fileDictionary = dict()
# First we read entries from file2, so that those
# from file2 will later overwrite them when needed
with open(inputFileName2) as inputFile2:
csvReader = csv.reader(inputFile2)
for row in csvReader:
if len(row) == 3:
# The key will be the filename stripped of the mountpoint
key = re.sub(mountpoint2, '', row[2])
# The value will be the whole line
fileDictionary[key] = ','.join(row)
# Entries from file1 will overwrite those from file2
with open(inputFileName1) as inputFile1:
csvReader = csv.reader(inputFile1)
for row in csvReader:
if len(row) == 3:
# The key will be the filename stripped of the mountpoint
key = re.sub(mountpoint1, '', row[2])
# The value will be the whole line
fileDictionary[key] = ','.join(row)
# Write all the entries to the output file
with open(outputFileName, 'w') as outputFile:
for key in fileDictionary:
outputFile.write(fileDictionary[key])
outputFile.write('\n')只需将脚本保存为merge-checksums.py,给它执行权限
chmod u+x merge-checksums.py并将其运行为:
./merge-checksums.py Checksums_1.txt Checksums_2.txt out.txthttps://askubuntu.com/questions/625407
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