Python下Mysql数据连接池——单例

python

# coding:utf-8

import threading

import pymysql

from DBUtils.PooledDB import PooledDB

from app.common.file_config import get_config

class DbPool(object):

_instance_lock = threading.Lock()

def __init__(self):

if not hasattr(DbPool, "pool"):

DbPool.mysql_pool()

else:

pass

def __new__(cls, *args, **kwargs):

if not hasattr(DbPool, "_instance"):

with DbPool._instance_lock:

if not hasattr(DbPool, "_instance"):

DbPool._instance = object.__new__(cls, *args, **kwargs)

return DbPool._instance

@staticmethod

def mysql_pool():

host = get_config('database', 'MYSQL_HOST')

port = int(get_config('database', 'MYSQL_PORT'))

user = get_config('database', 'MYSQL_USERNAME')

passwd = get_config('database', 'MYSQL_PASSWORD')

db = get_config('database', 'MYSQL_DB')

DbPool.pool = PooledDB(

creator=pymysql, # 使用链接数据库的模块

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=6, # 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。

maxconnections=8, # 连接池允许的最大连接数,0和None表示不限制连接数

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=None, # 开始会话前执行的命令列表。如:["set datestyle to ...", "set time zone ..."]

# 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=host,

port=port,

user=user,

passwd=passwd,

db=db,

use_unicode=False,

charset='utf8'

)

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