300字范文,内容丰富有趣,生活中的好帮手!
300字范文 > mysql查询库表变更信息_PythonMySQL进行数据库表变更和查询

mysql查询库表变更信息_PythonMySQL进行数据库表变更和查询

时间:2022-09-22 09:16:43

相关推荐

mysql查询库表变更信息_PythonMySQL进行数据库表变更和查询

这篇文章主要介绍了Python MySQL进行数据库表变更和查询的相关资料,需要的朋友可以参考下

Python连接MySQL,进行数据库表变更和查询:

python mysql insert delete query:

#!/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)

mit()

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)

mit()

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)

mit()

except:

db.rollback()

# Open database connection

# change this to your mysql account

#connect(server,username,password,db_name)

db = MySQLdb.connect("localhost","root","root","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()

之后可以在此基础上根据需要进行封装。

本内容不代表本网观点和政治立场,如有侵犯你的权益请联系我们处理。
网友评论
网友评论仅供其表达个人看法,并不表明网站立场。