pymysql link module in python MySQL database, data verification and packaging

1, Python modules need to install pymysql

　　step:

• Create link
• Create a cursor
• We need to perform sql statement
• Sql execution
• Manual submission
• Get the results
• Close links

2, database links, simple authentication

Import pymysql 

# 1. link is established, using the library pymysql connect (resistant Cte) 
Conn = pymysql.connect (= Host ' database host name ' , 
                       User = ' username ' , 
                       password = ' password ' , 
                       DB = ' database name ' , 
                       Port = 3306 , 
                       charset = ' utf8 ' ,   # code set utf8, not utf8 write
                       = pymysql.cursors.DictCursor cursorclass)   # Cursor class pymysql.cursors (test dead) .DictCursor (Judith expedition dead) 
# DictCursor cursor class, returns a single result for the dictionary, the result of multiple nested dictionaries list 
# do not add cursorclass cursor nested Ganso Ganso 

# 2. create the cursor cursor (roast color) 
the cursor = conn.cursor () 

# 3. sql statement needs to be performed 
# way: single query data 
sql = " the SELECT * from Member MobilePhone, the WHERE = 13,264,489,754; " 

# Second way: You enter the phone number queries 
# use% s stations, mobile incoming values entered by the user 
# mobile = the iNPUT ( "Please enter your phone number:") 
# SQL1 = "Member from the WHERE MobilePhone, the SELECT * =% s ; " 

# three ways: query multiple data 
#= SQL2 "SELECT * the FROM Member the LIMIT 0,10;" 

# 4. sql statement piece performed, the cursor among the execute (Q Laid Aix) 
# execute the first sql 
the cursor.execute (sql) 

# perform a second Article SQL 
# the cursor.execute (SQL1, args = (Mobile,)) # args (Argus) = required transmit a sequence type, a list of tuples, strings, ancestral element using a comma 

# execute SQL Article 
# cursor.execute (SQL2) 

# 5. submitted manually, use the links among the objects commit (to buy time) 
conn.commit () 

# 6. get the results, use the cursor among fetchone (turn eat Wan) 
result1 = cursor.fetchone ()   # fetchone (turn to eat million) returns only one result, a record in the dictionary consisting of 
# Print (result1) 

result2 = cursor.fetchall ()    # fetchall (turn eat Austria) to obtain multiple results, nested dictionaries list 
#Print (result2) 

# 7. close links to free up resources close (Science Building Division) 
# first off the cursor 
cursor.close ()
 # and then close the cursor object 
conn.close ()

3, using pymysql module to connect mysql, sql statement execution, data validation

import pymysql


class HandleMysql:
    """
    使用 pymysql 模块来连接mysql, 执行sql语句, 进行数据校验
    """
    def __init__(self):
        self.conn = pymysql.connect(host='数据库主机名,可以放在配置文件',
                                    user='用户名,可以放在配置文件',
                                    password='密码,可以放在配置文件',
                                    db='那个数据库名,可以放在配置文件',
                                    port='端口号,可以放在配置文件',
                                    charset='utf8',
                                    cursorclass=pymysql.cursors.DictCursor)
        self.cursor = self.conn.cursor()    # 创建游标

    def run(self, sql, args=None, is_more=False):     # is_more是否是多个
        """
        执行sql语句
        :param sql:sql语句
        :param args:元组类型可变参数（用于sql语句字符串中的占位符填充时传参使用）
        :param is_more:默认False为执行一条sql语句
        :return:sql语句执行结果（fetchone()返回的是一个字典，fetchall()返回的是一个嵌套字典的列表）
        """
        self.cursor.execute(sql, args=args)  # 执行sql
        self.conn.commit()  # 手动提交
        if is_more:
            return self.cursor.fetchall()   # is_more 为 Trun获取多条执行结果
        else:
            return self.cursor.fetchone()   # is_more 为 False获取单条执行结果

    def close(self):
        """
        关闭链接，释放资源
        """
        self.cursor.close()     # 关闭游标
        self.conn.close()       # 关闭数据库


if __name__ == '__main__':
    mobile = '13264489754'
    sql_1 = "select * from member where mobilephone=%s;"
    sql_2 = "select * FROM member LIMIT 0,10;"

    do_mysql_1 = HandleMysql()

    res1 = do_mysql_1.run(sql_1, args=(mobile,))
    print(res1)

    do_mysql_2 = HandleMysql()
    res2 = do_mysql_2.run(sql_2, is_more=True)
    print(res2)

 

 

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