Python3 + Flask + mysql5.7搭建的web环境下,使用了sqlalchemy配置数据库连接池,近期发现有大量的错误日志报出,如下所示:
2019-03-22 16:22:30,602 - sudops - compute - 63 - ERROR - QueuePool limit of size 5 overflow 10 reached, connection timed out, timeout 30 (Background on this error at: http://sqlalche.me/e/3o7r)
Traceback (most recent call last):
File "/usr/local/lib/python3.6/site-packages/sqlalchemy/orm/query.py", line 2888, in first
ret = list(self[0:1])
File "/usr/local/lib/python3.6/site-packages/sqlalchemy/orm/query.py", line 2680, in __getitem__
return list(res)
File "/usr/local/lib/python3.6/site-packages/sqlalchemy/orm/query.py", line 2988, in __iter__
return self._execute_and_instances(context)
File "/usr/local/lib/python3.6/site-packages/sqlalchemy/orm/query.py", line 3009, in _execute_and_instances
close_with_result=True)
File "/usr/local/lib/python3.6/site-packages/sqlalchemy/orm/query.py", line 3018, in _get_bind_args
**kw
File "/usr/local/lib/python3.6/site-packages/sqlalchemy/orm/query.py", line 3000, in _connection_from_session
conn = self.session.connection(**kw)
File "/usr/local/lib/python3.6/site-packages/sqlalchemy/orm/session.py", line 1035, in connection
execution_options=execution_options)
File "/usr/local/lib/python3.6/site-packages/sqlalchemy/orm/session.py", line 1040, in _connection_for_bind
engine, execution_options)
File "/usr/local/lib/python3.6/site-packages/sqlalchemy/orm/session.py", line 409, in _connection_for_bind
conn = bind.contextual_connect()
File "/usr/local/lib/python3.6/site-packages/sqlalchemy/engine/base.py", line 2123, in contextual_connect
self._wrap_pool_connect(self.pool.connect, None),
File "/usr/local/lib/python3.6/site-packages/sqlalchemy/engine/base.py", line 2158, in _wrap_pool_connect
return fn()
File "/usr/local/lib/python3.6/site-packages/sqlalchemy/pool.py", line 403, in connect
return _ConnectionFairy._checkout(self)
File "/usr/local/lib/python3.6/site-packages/sqlalchemy/pool.py", line 791, in _checkout
fairy = _ConnectionRecord.checkout(pool)
File "/usr/local/lib/python3.6/site-packages/sqlalchemy/pool.py", line 532, in checkout
rec = pool._do_get()
File "/usr/local/lib/python3.6/site-packages/sqlalchemy/pool.py", line 1189, in _do_get
(self.size(), self.overflow(), self._timeout), code="3o7r")
sqlalchemy.exc.TimeoutError: QueuePool limit of size 5 overflow 10 reached, connection timed out, timeout 30 (Background on this error at: http://sqlalche.me/e/3o7r)
看上去是默认的连接池为5个,已经超过了,导致数据库连接超时。
查看下数据库的超时时间:
解决办法:SQLALCHEMY的连接串中增加pool_size。
原连接方式:
SQLALCHEMY_DATABASE_URI = os.environ.get(
'DATABASE_URL') or "mysql+pymysql://dbuser:pwd@127.0.0.1:3306/sudops?
charset=utf8&autocommit=true"
修改后的连接方式:
SQLALCHEMY_DATABASE_URI = os.environ.get(
'DATABASE_URL') or "mysql+pymysql://dbuser:pwd@127.0.0.1:3306/sudops?
charset=utf8&autocommit=true, encoding='utf-8', pool_size=100, pool_recycle=3600, echo=False"
重启web服务即可。