Python 2.7:Access数据库表和CSV文件比较

我需要将

.accdb

文件与

.csv

文件进行比较

两个文件具有相同类型的记录，但计数不匹配。所以我想显示那些不常见的记录，并将其存储到用

分隔的新文本文件中

.accdb：

ID  Name
1   Mak
2   Smith
3   Jack

.csv文件：

ID  Name
1   Mak
2   Smith
3   Jack
4   Johnson
5   Mike

ID;  Name
4;   Johnson
5;  Mike

import pyodbc

CSVfile = 'E:\Python\AccessCSVFiles\EMP.csv'
TEXTfile = 'E:\Python\AccessCSVFiles\EMP_UPDATES.txt'

conn_string = r'DRIVER={Microsoft Access Driver (*.mdb, *.accdb)};DBQ=E:\Python\AccessCSVFiles\EMP.accdb;'
con = pyodbc.connect(conn_string)
cur = con.cursor()

SQLQuery = 'SELECT * FROM EMP;'
rows = cur.execute(SQLQuery).fetchall()
records = [tuple(map(str,record)) for record in rows]

accessfile = set(records)

with open(CSVfile) as a:
    first_line = a.readline()
    with open(TEXTfile, 'w') as result:
        result.write(first_line)
        for line in a:
            if line not in accessfile:
                print line

所需的.txt文件：

ID  Name
1   Mak
2   Smith
3   Jack
4   Johnson
5   Mike

ID;  Name
4;   Johnson
5;  Mike

import pyodbc

CSVfile = 'E:\Python\AccessCSVFiles\EMP.csv'
TEXTfile = 'E:\Python\AccessCSVFiles\EMP_UPDATES.txt'

conn_string = r'DRIVER={Microsoft Access Driver (*.mdb, *.accdb)};DBQ=E:\Python\AccessCSVFiles\EMP.accdb;'
con = pyodbc.connect(conn_string)
cur = con.cursor()

SQLQuery = 'SELECT * FROM EMP;'
rows = cur.execute(SQLQuery).fetchall()
records = [tuple(map(str,record)) for record in rows]

accessfile = set(records)

with open(CSVfile) as a:
    first_line = a.readline()
    with open(TEXTfile, 'w') as result:
        result.write(first_line)
        for line in a:
            if line not in accessfile:
                print line

我的尝试：

ID  Name
1   Mak
2   Smith
3   Jack
4   Johnson
5   Mike

ID;  Name
4;   Johnson
5;  Mike

import pyodbc

CSVfile = 'E:\Python\AccessCSVFiles\EMP.csv'
TEXTfile = 'E:\Python\AccessCSVFiles\EMP_UPDATES.txt'

conn_string = r'DRIVER={Microsoft Access Driver (*.mdb, *.accdb)};DBQ=E:\Python\AccessCSVFiles\EMP.accdb;'
con = pyodbc.connect(conn_string)
cur = con.cursor()

SQLQuery = 'SELECT * FROM EMP;'
rows = cur.execute(SQLQuery).fetchall()
records = [tuple(map(str,record)) for record in rows]

accessfile = set(records)

with open(CSVfile) as a:
    first_line = a.readline()
    with open(TEXTfile, 'w') as result:
        result.write(first_line)
        for line in a:
            if line not in accessfile:
                print line

但是在文本文件
EMP_UPDATES.txt
中获取所有5条记录，并用
，
分隔
 用于读取
CSV
：

import csv
with open(CSVfile) as csvfile:
    reader = csv.DictReader(csvfile)
    csv_data = {(row['ID'], row['Name']) for row in reader}  # generates set

如果预计只有
CSV
包含缺少的数据：

diff = sorted(csv_data.difference(accessfile))  # Generated Sorted list with values missing
                                                # in accessfile

要写入新文件，请执行以下操作：

with open(TEXTfile, 'w') as result:
    for missing in diff:
        result.write(";".join(missing))