WebAug 14, 2024 · Your SQLAlchemy is configured with a maximum of 10 active database connections, and you seem to have maxed out after 20 active connections, I assume because you are sending several concurrent requests (i.e. 20 or more). How are you running under gunicorn? WebApr 5, 2024 · SQLAlchemy performs application-level connection pooling automatically in most cases. With the exception of SQLite, a Engine object refers to a QueuePool as a source of connectivity. For more detail, see Engine Configuration and Connection Pooling. How do I pass custom connect arguments to my database API? ¶
Installing SQLAlchemy and connecting to database
WebThe most common QueuePool tuning parameters can be passed directly to create_engine () as keyword arguments: pool_size, max_overflow, pool_recycle and pool_timeout. For example: engine = create_engine('postgresql://me@localhost/mydb', pool_size=20, max_overflow=0) WebJun 11, 2024 · Solution 2 In multi-thread mode, if your concurrent request num is much more than the db connection pool size, it will throw the Queue Pool limit of size 5 overflow 10 reached error. try with this: engine = create_engine ( 'mysql://', convert_unicode = True, pool_size =20, max_overflow =100) to add the pool size mini series chiefs on youtube
Changes — Flask-SQLAlchemy Documentation (3.0.x)
WebJul 9, 2024 · Solution 1. The right way is this one ( connect_timeout instead of connection_timeout ): create _engine (db_url, connect_args= {'connect_timeout': 10}) … Webflask-sqlalchemy使用 集成到flask中，直接使用sqlalchemy, 有个第三方flask-sqlalchemy,可以快速的集成到flask中 使用flaks-sqlalchemy flask-sqlalchemy,flask-migrate - clever-cat - 博客园 WebFeb 18, 2024 · What is really confusing me is that I thought I checked that SQLAlchemy gets the app configuration, namely I used db.engine.pool.status() to show the engine status and e.g. the printed pool size corresponded exactly to the setting I would apply to the app. So I was kinda sure that creating SQLAlchemy without the app argument is still okay. mother and 8 year old daughter