• Python操作MySQL数据库(二)


    pymsql是Python中操作MySQL的模块,其使用方法和MySQLdb几乎相同。

    下载安装:

    pip install pymysql

    1.执行SQL语句

    #!/usr/bin/env python
    # -*- coding:utf-8 -*-
    import pymysql
      
    # 创建连接
    conn = pymysql.connect(host='127.0.0.1', port=3306, user='root', passwd='123', db='t1')
    # 创建游标
    cursor = conn.cursor()
      
    # 执行SQL,并返回收影响行数
    effect_row = cursor.execute("update hosts set host = '1.1.1.2'")
      
    # 执行SQL,并返回受影响行数
    #effect_row = cursor.execute("update hosts set host = '1.1.1.2' where nid > %s", (1,))
      
    # 执行SQL,并返回受影响行数
    #effect_row = cursor.executemany("insert into hosts(host,color_id)values(%s,%s)", [("1.1.1.11",1),("1.1.1.11",2)])
      
      
    # 提交,不然无法保存新建或者修改的数据
    conn.commit()
      
    # 关闭游标
    cursor.close()
    # 关闭连接
    conn.close()
    

    2.获取新创建数据自增ID

    #!/usr/bin/env python
    # -*- coding:utf-8 -*-
    import pymysql
      
    conn = pymysql.connect(host='127.0.0.1', port=3306, user='root', passwd='123', db='t1')
    cursor = conn.cursor()
    cursor.executemany("insert into hosts(host,color_id)values(%s,%s)", [("1.1.1.11",1),("1.1.1.11",2)])
    conn.commit()
    cursor.close()
    conn.close()
      
    # 获取最新自增ID
    new_id = cursor.lastrowid
    

    3.获取查询数据

    #!/usr/bin/env python
    # -*- coding:utf-8 -*-
    import pymysql
      
    conn = pymysql.connect(host='127.0.0.1', port=3306, user='root', passwd='123', db='t1')
    cursor = conn.cursor()
    cursor.execute("select * from hosts")
      
    # 获取第一行数据
    row_1 = cursor.fetchone()
      
    # 获取前n行数据
    # row_2 = cursor.fetchmany(3)
    # 获取所有数据
    # row_3 = cursor.fetchall()
      
    conn.commit()
    cursor.close()
    conn.close()
    

     

    注:在fetch数据时按照顺序进行,可以使用cursor.scroll(num,mode)来移动游标位置,如:

    • cursor.scroll(1,mode='relative')  # 相对当前位置移动
    • cursor.scroll(2,mode='absolute') # 相对绝对位置移动

    4.fetch数据类型默认返回的是元祖类型,返回字典类型如下:

    #!/usr/bin/env python
    # -*- coding:utf-8 -*-
    import pymysql
      
    conn = pymysql.connect(host='127.0.0.1', port=3306, user='root', passwd='123', db='t1')
      
    # 游标设置为字典类型
    cursor = conn.cursor(cursor=pymysql.cursors.DictCursor)
    r = cursor.execute("call p1()")
      
    result = cursor.fetchone()
      
    conn.commit()
    cursor.close()
    conn.close()
    

    注:返回字典类型,另外一种方式如下:

    # -*- coding:utf-8 -*-
    # /user/bin/python
    # @Time   : 2018/5/23 23:32
    # @Author : liyongle
    # @File   : sql_ method.py
    import contextlib
    import os
    import pymysql
    
    @contextlib.contextmanager
    def __get_mysql_db__(
            host="10.1.1.113",
            port=3306,
            user="liyongle",
            passwd="xxxx",
            db="test_lib",
            charset="utf8"
    ):
        con = pymysql.connect(
            host=host,
            port=port,
            user=user,
            passwd=passwd,
            db=db,
            charset=charset,
            cursorclass=pymysql.cursors.DictCursor,
        )
        cur = con.cursor()
        try:
            yield cur
        finally:
            con.commit()
            cur.close()
            con.close()
    
    def run_query(query):
        # 这个函数返回一个列表,列表里面的元素都是字典
        with __get_mysql_db__() as cursor:
            cursor.execute(query)
            return cursor.fetchall()
    
    def main():
        sql = "SELECT case_id FROM testcase LEFT JOIN req_method ON req_method.reuqest_id = testcase.method_id"
        run_query(sql)
    
    
    
    if __name__ == '__main__':
        main()
    

    5.也可以将其封装成类,包含增删改查方法,使用时直接导入调用即可

    安装数据库连接池

    pip install DBUtils

    具体代码如下:

    # -*- coding:utf-8 -*-
    # /user/bin/python
    # @Time   : 2018/5/24 0:16
    # @Author : liyongle
    # @File   : sql_ method.py
    import pymysql
    import threading
    from DBUtils.PooledDB import PooledDB, SharedDBConnection
    POOL = PooledDB(
        creator=pymysql,  # 使用链接数据库的模块
        maxconnections=20,  # 连接池允许的最大连接数,0和None表示不限制连接数
        mincached=2,  # 初始化时,链接池中至少创建的空闲的链接,0表示不创建
        maxcached=5,  # 链接池中最多闲置的链接,0和None不限制
        #maxshared=3,  # 链接池中最多共享的链接数量,0和None表示全部共享。PS: 无用,因为pymysql和MySQLdb等模块的 threadsafety都为1,所有值无论设置为多少,_maxcached永远为0,所以永远是所有链接都共享。
        blocking=True,  # 连接池中如果没有可用连接后,是否阻塞等待。True,等待;False,不等待然后报错
        maxusage=None,  # 一个链接最多被重复使用的次数,None表示无限制
        setsession=[],  # 开始会话前执行的命令列表。如:["set datestyle to ...", "set time zone ..."]
        ping=0,
        # ping MySQL服务端,检查是否服务可用。# 如:0 = None = never, 1 = default = whenever it is requested, 2 = when a cursor is created, 4 = when a query is executed, 7 = always
        host='192.168.11.38',
        port=3306,
        user='root',
        passwd='xxxxxx',
        db='test_db',
        charset='utf8'
    )
    
    
    def connect():
        # 创建连接
        conn = POOL.connection()
        # 创建游标
        cursor = conn.cursor(pymysql.cursors.DictCursor)
    
        return conn,cursor
    
    def close(conn,cursor):
        # 关闭游标
        cursor.close()
        # 关闭连接
        conn.close()
    
    def fetch_one(sql,args):
        conn,cursor = connect()
        # 执行SQL,并返回收影响行数
        effect_row = cursor.execute(sql,args)
        result = cursor.fetchone()
        close(conn,cursor)
    
        return result
    
    def fetch_all(sql,args):
        conn, cursor = connect()
    
        # 执行SQL,并返回收影响行数
        cursor.execute(sql,args)
        result = cursor.fetchall()
    
        close(conn, cursor)
        return result
    
    def insert(sql,args):
        """
        创建数据
        :param sql: 含有占位符的SQL
        :return:
        """
        conn, cursor = connect()
    
        # 执行SQL,并返回收影响行数
        effect_row = cursor.execute(sql,args)
        conn.commit()
    
        close(conn, cursor)
    
    def delete(sql,args):
        """
        创建数据
        :param sql: 含有占位符的SQL
        :return:
        """
        conn, cursor = connect()
    
        # 执行SQL,并返回收影响行数
        effect_row = cursor.execute(sql,args)
    
        conn.commit()
    
        close(conn, cursor)
    
        return effect_row
    
    def update(sql,args):
        conn, cursor = connect()
    
        # 执行SQL,并返回收影响行数
        effect_row = cursor.execute(sql, args)
    
        conn.commit()
    
        close(conn, cursor)
    
        return effect_row
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  • 原文地址:https://www.cnblogs.com/Crazy-lyl/p/9080581.html
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