时效说明:walker 的旧文迁移,某些地方可能过时,最后更新时间为 2015-09-25
以下所有代码 Python2.7、Python3.4 均可用。
win32.com
# encoding: utf-8
# author: walker
# date: 2015-09-25
# summary: 打印指定access文件、指定表的所有字段
import win32com.client
def PrintColumns_win32com(pathfile, tablename):
conn = win32com.client.Dispatch(r'ADODB.Connection')
DSN = 'PROVIDER=Microsoft.ACE.OLEDB.12.0;DATA SOURCE=' + pathfile + ';'
#DSN = 'PROVIDER=Microsoft.Jet.OLEDB.4.0;DATA SOURCE=' + pathfile + ';'
conn.Open(DSN)
rs = win32com.client.Dispatch(r'ADODB.Recordset')
rs.Cursorlocation = 3
sql = 'SELECT TOP 1 * FROM ' + tablename
print(sql)
rs.Open(sql, conn)
for i in range(0, rs.Fields.Count):
print('%s - %d - %d' % (rs.Fields[i].Name, rs.Fields[i].Type, rs.Fields[i].DefinedSize))
conn.Close()
关于字段类型(Type):3为数字,202为文本,203为备忘。Windows 下有更简洁的函数 pypyodbc.win_connect_mdb,只需要填路径。
相关阅读
pyodbc
# encoding: utf-8
# author: walker
# date: 2015-09-25
# summary: 打印指定access文件、指定表的所有字段
import pyodbc
def PrintColumns_pyodbc(pathfile, tablename):
connStr = r'Driver={Microsoft Access Driver (*.mdb, *.accdb)};Dbq=%s;' % pathfile
print('connStr:' + connStr)
conn = pyodbc.connect(connStr)
cur = conn.cursor()
for row in cur.columns(table=tablename):
print(row.column_name)
cur.close()
conn.close()
相关链接
pypyodbc
# encoding: utf-8
# author: walker
# date: 2015-09-25
# summary: 打印指定access文件、指定表的所有字段
import pypyodbc
def PrintColumns_pypyodbc(pathfile, tablename):
connStr = r'Driver={Microsoft Access Driver (*.mdb, *.accdb)};Dbq=%s;' % pathfile
print('connStr:' + connStr)
pypyodbc.lowercase = False #是否将字段名转为小写
conn = pypyodbc.connect(connStr)
cur = conn.cursor()
cur.execute('SELECT TOP 1 * FROM ' + tablename)
cnt = 0
for tup in cur.description:
print(tup[0])
cnt += 1
print('cnt:' + str(cnt))
cur.close()
conn.close()
相关链接
- pypyodbc的pypi主页
- 未找到官方文档
pyodbc 与 pypyodbc 取值的区别
- 在 select 指定字段时
row[idx] | row.field | row['field'] | row.get('field') | |
---|---|---|---|---|
pyodbc | √ | √ | × | × |
pypyodbc | √ | × | √ | √ |
- 在 select * 时
row[idx] | row.field | row['field'] | row.get('field') | |
---|---|---|---|---|
pyodbc | √ | × | × | × |
pypyodbc | √ | × | √ | √ |