Python对Access读写操作 使用Python对Access读写操作

conn = win32com.client.Dispatch(r"ADODB.Connection")
DSN = 'PROVIDER = Microsoft.Jet.OLEDB.4.0;DATA SOURCE = test.mdb'
conn.Open(DSN)

rs = win32com.client.Dispatch(r'ADODB.Recordset')
rs_name = 'MEETING_PAPER_INFO'
rs.Open('[' + rs_name + ']', conn, 1, 3)

rs.AddNew() #添加一条新记录
rs.Fields.Item(0).Value = "data" #新记录的第一个记录为"data"
rs.Update() #更新

# 增
sql = "Insert Into [rs_name] (id, innerserial, mid) Values ('002133800088980002', 2, '21338')" #sql语句
conn.Execute(sql) #执行sql语句
# 删
sql = "Delete * FROM " + rs_name + " where innerserial = 2"
conn.Execute(sql)
# 改
sql = "Update " + rs_name + " Set mid = 2016 where innerserial = 3"
conn.Execute(sql)

rs.MoveFirst() #光标移到首条记录
count = 0
while True:
 if rs.EOF:
 break
 else:
 for i in range(rs.Fields.Count):
 #字段名：字段内容
 print(rs.Fields[i].Name, "：", rs.Fields[i].Value)
 count += 1
 rs.MoveNext()

#!/usr/bin/env python
# -*- coding:utf-8 -*-
__author__ = "loki"
import time
import pypyodbc as mdb

# 连接mdb文件
connStr = (r'Driver={Microsoft Access Driver (*.mdb)};DBQ=C:\MDB_demo\demo.mdb;'
   r'Database=bill;'
   )
conn = mdb.win_connect_mdb(connStr)

# connStr = (
#  r'Driver={SQL Sever};'
#  r'Server=sqlserver;'
#  r'Database=bill;'
#  r'UID=sa;'
#  r'PWD=passwd'
# )
#
# conn = mdb.connect(connStr)
# 创建游标
cur = conn.cursor()

cur.execute('SELECT * FROM bill;')

for col in cur.description:
 # 展示行描述
 print(col[0], col[1])
result = cur.fetchall()

for row in result:
 # 展示个字段的值
 print(row)
 print(row[1], row[2]

# Microsoft Access DB
import pypyodbc 

connection = pypyodbc.win_create_mdb('D:\\database.mdb')

SQL = 'CREATE TABLE saleout (id COUNTER PRIMARY KEY,product_name VARCHAR(25));'
connection.cursor().execute(SQL)
connection.close()

#SQL Server 2000/2005/2008 (and probably 2012 and 2014)
import pypyodbc as pyodbc # you could alias it to existing pyodbc code (not every code is compatible)
db_host = 'serverhost'
db_name = 'database'
db_user = 'username'
db_password = 'password'
connection_string = 'Driver={SQL Server};Server=' + db_host + ';Database=' + db_name + ';UID=' + db_user + ';PWD=' + db_password + ';'
db = pyodbc.connect(connection_string)
SQL = 'CREATE TABLE saleout (id COUNTER PRIMARY KEY,product_name VARCHAR(25));'
db.cursor().execute(SQL)

# Doing a simple SELECT query
connStr = (
 r'Driver={SQL Server};'
 r'Server=sqlserver;'
 #r'Server=127.0.0.1,52865;' +
 #r'Server=(local)\SQLEXPRESS;'
 r'Database=adventureworks;'
 #r'Trusted_Connection=Yes;'
 r'UID=sa;'
 r'PWD=sapassword;'
 )
db = pypyodbc.connect(connStr)
cursor = db.cursor()

# Sample with just a raw query:
cursor.execute("select client_name, client_lastname, [phone number] from Clients where client_id like '01-01-00%'")

# Using parameters (IMPORTANT: YOU SHOULD USE TUPLE TO PASS PARAMETERS)
# Python note: a tuple with just one element must have a trailing comma, otherwise is just a enclosed variable
cursor.execute("select client_name, client_lastname, [phone number] "
"from Clients where client_id like ?", ('01-01-00%', ))

# Sample, passing more than one parameter
cursor.execute("select client_name, client_lastname, [phone number] "
"from Clients where client_id like ? and client_age < ?", ('01-01-00%', 28))

# Method 1, simple reading using cursor
while True:
 row = cursor.fetchone()
 if not row:
  break
 print("Client Full Name (phone number): ", row['client_name'] + ' ' + row['client_lastname'] + '(' + row['phone number'] + ')')

# Method 2, we obtain dict's all records are loaded at the same time in memory (easy and verbose, but just use it with a few records or your app will consume a lot of memory), was tested in a modern computer with about 1000 - 3000 records just fine...
import pprint; pp = pprint.PrettyPrinter(indent=4)
columns = [column[0] for column in cursor.description]
for row in cursor.fetchall():
 pp.pprint(dict(zip(columns, row)))

# Method 3, we obtain a list of dict's (represents the entire query)
query_results = [dict(zip([column[0] for column in cursor.description], row)) for row in cursor.fetchall()]
pp.pprint(query_results)

# When cursor was used must be closed, if you will not use again the db connection must be closed too.
cursor.close()
db.close()