Python下Mysql数据连接池——单例
# coding:utf-8import 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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