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Python-data-analysis-and-display
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Test_LinkMysql.py
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Python-data-analysis-and-display
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Test_LinkMysql.py
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import pymysql
# 打开数据库连接
connect = pymysql.connect("localhost", "root", "123456", "testdb")
# 获取游标
cursor = connect.cursor()
# 插入数据
sql = "INSERT INTO trade (name, account, saving) VALUES ( '%s', '%s', '%.2f' )"
data = ('雷军', '13512345678', 10000)
cursor.execute(sql % data)
connect.commit()
print('成功插入', cursor.rowcount, '条数据')
# 修改数据
sql = "UPDATE trade SET saving = '%.2f' WHERE account = '%s' "
data = (8888, '13512345678')
cursor.execute(sql % data)
connect.commit()
print('成功修改', cursor.rowcount, '条数据')
# 查询数据
sql = "SELECT name,saving FROM trade WHERE account = '%s' "
data = ('13512345678',)
cursor.execute(sql % data)
for row in cursor.fetchall():
print("Name:%s\tSaving:%.2f" % row)
print('共查找出', cursor.rowcount, '条数据')
# 删除数据
sql = "DELETE FROM trade WHERE account = '%s' LIMIT %d"
data = ('13512345678', 1)
cursor.execute(sql % data)
connect.commit()
print('成功删除', cursor.rowcount, '条数据')
# 事务处理
sql_1 = "UPDATE trade SET saving = saving + 1000 WHERE account = '18012345678' "
sql_2 = "UPDATE trade SET expend = expend + 1000 WHERE account = '18012345678' "
sql_3 = "UPDATE trade SET income = income + 2000 WHERE account = '18012345678' "
try:
cursor.execute(sql_1) # 储蓄增加1000
cursor.execute(sql_2) # 支出增加1000
cursor.execute(sql_3) # 收入增加2000
except Exception as e:
connect.rollback() # 事务回滚
print('事务处理失败', e)
else:
connect.commit() # 事务提交
print('事务处理成功', cursor.rowcount)
# 关闭连接
cursor.close()
connect.close()
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