• Python MySQL 连接池设置


    Python MySQL 连接池设置

    项目中连接数据库不设置连接池直接操作数据库,频繁的创建数据库连接比较耗费资源,这里是我整理改了改的python连接池的代码

    文件目录结构

    ├── init.py
    ├── myProjectConfig.cnf
    └── MySqlConn.py

    详细代码

    配置文件 conf.ini
    [lcoal]
    host = 127.0.0.1
    port = 3306
    user = zqpy
    password = 123456
    mincached=10
    maxcached=20
    
    连接池核心代码 MySqlConn.py
    #!/usr/bin/env python
    # -*- coding:utf-8 -*-
    import pymysql, os, configparser
    from pymysql.cursors import DictCursor
    from DBUtils.PooledDB import PooledDB
    
    
    class Config(object):
        """
        # Config().get_content("user_information")
    
        配置文件里面的参数
        [notdbMysql]
        host = 192.168.1.101
        port = 3306
        user = root
        password = python123
        """
    
        def __init__(self, config_filename="conf.ini"):
            file_path = os.path.join(os.path.dirname(__file__), config_filename)
            self.cf = configparser.ConfigParser()
            self.cf.read(file_path)
    
        def get_sections(self):
            return self.cf.sections()
    
        def get_options(self, section):
            return self.cf.options(section)
    
        def get_content(self, section):
            result = {}
            for option in self.get_options(section):
                value = self.cf.get(section, option)
                result[option] = int(value) if value.isdigit() else value
            return result
    
    
    class BasePymysqlPool(object):
        def __init__(self, mincached, maxcached, host, port, user, password, db_name=None):
            self.db_host = host
            self.db_port = int(port)
            self.user = user
            self.password = str(password)
            self.db = db_name
            self.conn = None
            self.mincached = int(mincached)
            self.maxcached = int(maxcached)
    
    
    class MyPymysqlPool(BasePymysqlPool):
        """
        MYSQL数据库对象,负责产生数据库连接 , 此类中的连接采用连接池实现获取连接对象:conn = Mysql.getConn()
                释放连接对象;conn.close()或del conn
        """
        # 连接池对象
        __pool = None
    
        def __init__(self, conf_name=None):
            self.conf = Config().get_content(conf_name)
            super(MyPymysqlPool, self).__init__(**self.conf)
            # 数据库构造函数,从连接池中取出连接,并生成操作游标
            self._conn = self.__getConn()
            self._cursor = self._conn.cursor()
    
        def __getConn(self):
            """
            @summary: 静态方法,从连接池中取出连接
            @return MySQLdb.connection
            """
            if MyPymysqlPool.__pool is None:
                __pool = PooledDB(creator=pymysql,
                                  mincached=self.mincached,
                                  maxcached=self.maxcached,
                                  host=self.db_host,
                                  port=self.db_port,
                                  user=self.user,
                                  passwd=self.password,
                                  db=self.db,
                                  use_unicode=False,
                                  charset="utf8",
                                  cursorclass=DictCursor)
            return __pool.connection()
    
        def getAll(self, sql, param=None):
            """
            @summary: 执行查询,并取出所有结果集
            @param sql:查询SQL,如果有查询条件,请只指定条件列表,并将条件值使用参数[param]传递进来
            @param param: 可选参数,条件列表值(元组/列表)
            @return: result list(字典对象)/boolean 查询到的结果集
            """
            if param is None:
                count = self._cursor.execute(sql)
            else:
                count = self._cursor.execute(sql, param)
            if count > 0:
                result = self._cursor.fetchall()
            else:
                result = False
            return result
    
        def getOne(self, sql, param=None):
            """
            @summary: 执行查询,并取出第一条
            @param sql:查询SQL,如果有查询条件,请只指定条件列表,并将条件值使用参数[param]传递进来
            @param param: 可选参数,条件列表值(元组/列表)
            @return: result list/boolean 查询到的结果集
            """
            if param is None:
                count = self._cursor.execute(sql)
            else:
                count = self._cursor.execute(sql, param)
            if count > 0:
                result = self._cursor.fetchone()
            else:
                result = False
            return result
    
        def getMany(self, sql, num, param=None):
            """
            @summary: 执行查询,并取出num条结果
            @param sql:查询SQL,如果有查询条件,请只指定条件列表,并将条件值使用参数[param]传递进来
            @param num:取得的结果条数
            @param param: 可选参数,条件列表值(元组/列表)
            @return: result list/boolean 查询到的结果集
            """
            if param is None:
                count = self._cursor.execute(sql)
            else:
                count = self._cursor.execute(sql, param)
            if count > 0:
                result = self._cursor.fetchmany(num)
            else:
                result = False
            return result
    
        def insertMany(self, sql, values):
            """
            @summary: 向数据表插入多条记录
            @param sql:要插入的SQL格式
            @param values:要插入的记录数据tuple(tuple)/list[list]
            @return: count 受影响的行数
            """
            count = self._cursor.executemany(sql, values)
            return count
    
        def __query(self, sql, param=None):
            if param is None:
                count = self._cursor.execute(sql)
            else:
                count = self._cursor.execute(sql, param)
            return count
    
        def update(self, sql, param=None):
            """
            @summary: 更新数据表记录
            @param sql: SQL格式及条件,使用(%s,%s)
            @param param: 要更新的  值 tuple/list
            @return: count 受影响的行数
            """
            return self.__query(sql, param)
    
        def insert(self, sql, param=None):
            """
            @summary: 更新数据表记录
            @param sql: SQL格式及条件,使用(%s,%s)
            @param param: 要更新的  值 tuple/list
            @return: count 受影响的行数
            """
            return self.__query(sql, param)
    
        def delete(self, sql, param=None):
            """
            @summary: 删除数据表记录
            @param sql: SQL格式及条件,使用(%s,%s)
            @param param: 要删除的条件 值 tuple/list
            @return: count 受影响的行数
            """
            return self.__query(sql, param)
    
        def begin(self):
            """
            @summary: 开启事务
            """
            self._conn.autocommit(0)
    
        def end(self, option='commit'):
            """
            @summary: 结束事务
            """
            if option == 'commit':
                self._conn.commit()
            else:
                self._conn.rollback()
    
        def dispose(self, isEnd=1):
            """
            @summary: 释放连接池资源
            """
            if isEnd == 1:
                self.end('commit')
            else:
                self.end('rollback')
            self._cursor.close()
            self._conn.close()
    
    
    if __name__ == '__main__':
        mysql = MyPymysqlPool("lcoal")
    
        sqlAll = "select *  from xxx_mall.ods_kingdee_data limit 10 ;"
        result = mysql.getAll(sqlAll)
        print(result)
    
        sqlAll = "select * from xxx_mall.ods_kingdee_data limit 10;"
        result = mysql.getMany(sqlAll, 2)
        print(result)
    
        result = mysql.getOne(sqlAll)
        print(result)
    
        # mysql.insert("insert into xxx_mall.aa set a=%s", (1))
    
        # 释放资源
        # mysql.dispose()
    
    
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  • 原文地址:https://www.cnblogs.com/securitybob/p/13607340.html
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