发布于 2015-09-19 13:55:51 | 268 次阅读 | 评论: 0 | 来源: 网友投递
Python编程语言
Python 是一种面向对象、解释型计算机程序设计语言，由Guido van Rossum于1989年底发明，第一个公开发行版发行于1991年。Python语法简洁而清晰，具有丰富和强大的类库。它常被昵称为胶水语言，它能够把用其他语言制作的各种模块（尤其是C/C++）很轻松地联结在一起。
这篇文章主要介绍了python使用MySQLdb访问mysql数据库的方法,实例分析了Python使用MySQLdb模块操作mysql数据库的相关技巧,具有一定参考借鉴价值,需要的朋友可以参考下
本文实例讲述了python使用MySQLdb访问mysql数据库的方法。分享给大家供大家参考。具体如下：
#!/usr/bin/python
import MySQLdb
def doInsert(cursor,db):
#insert
# Prepare SQL query to INSERT a record into the database.
sql = "UPDATE EMPLOYEE SET AGE = AGE+1 WHERE SEX = '%c'" %('M')
try:
cursor.execute(sql)
db.commit()
except:
db.rollback()
def do_query(cursor,db):
sql = "SELECT * FROM EMPLOYEE
WHERE INCOME > '%d'" % (1000)
try:
# Execute the SQL command
cursor.execute(sql)
# Fetch all the rows in a list of lists.
results = cursor.fetchall()
print 'resuts',cursor.rowcount
for row in results:
fname = row[0]
lname = row[1]
age = row[2]
sex = row[3]
income = row[4]
# Now print fetched result
print "fname=%s,lname=%s,age=%d,sex=%s,income=%d" %
(fname, lname, age, sex, income )
except:
print "Error: unable to fecth data"
def do_delete(cursor,db):
sql = 'DELETE FROM EMPLOYEE WHERE AGE > {}'.format(20)
try:
cursor.execute(sql)
db.commit()
except:
db.rollback()
def do_insert(cursor,db,firstname,lastname,age,sex,income):
sql = "INSERT INTO EMPLOYEE(FIRST_NAME,
LAST_NAME, AGE, SEX, INCOME)
VALUES ('%s', '%s', '%d', '%c', '%d' )" %
(firstname,lastname,age,sex,income)
try:
cursor.execute(sql)
db.commit()
except:
db.rollback()
# Open database connection
# change this to your mysql account
#connect(server,username,password,db_name)
db = MySQLdb.connect("localhost","hunter","hunter","pydb" )
# prepare a cursor object using cursor() method
cursor = db.cursor()
do_query(cursor,db)
doInsert(cursor,db)
do_query(cursor,db)
do_delete(cursor,db)
do_query(cursor,db)
do_insert(cursor,db,'hunter','xue',22,'M',2000)
do_insert(cursor,db,'mary','yang',22,'f',5555)
do_insert(cursor,db,'zhang','xue',32,'M',5000)
do_insert(cursor,db,'hunter','xue',22,'M',333)
do_query(cursor,db)
# disconnect from server
db.close()