Issue
I have a Flask app using Flask-SQLAlchemy with a MySQL database where the db is defined as the following:
db.py
:
from flask_sqlalchemy import SQLAlchemy
db = SQLAlchemy()
main.py
:
from db import db
app = Flask(__name__)
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
app.config['SQLALCHEMY_DATABASE_URI'] = "mysql+pymysql://" + \
DB_USERNAME + ":" + DB_PASSWORD + "@" + DB_HOST + "/" + DB_DATABASE
db.init_app(app)
@app.teardown_appcontext
def teardown_db(error):
db.session.close()
db.engine.dispose()
user.py
:
class User(db.Model):
id = db.Column(db.Integer, primary_key=True)
username = db.Column(db.String(80), unique=True, nullable=False)
email = db.Column(db.String(120), unique=True, nullable=False)
I query my database using models using either db.engine.execute()
to write raw SQL queries where required or use the integrated Flask-SQLAlchemy APIs for reading data such as User.query.filter_by().all()
.
I write new data into the db using the following:
new_user_entry = User(username = "abc", email = "[email protected]")
db.session.add(new_user_entry)
db.session.commit()
I am monitoring my MySQL server using show processlist
and I notice that the database connections keep increasing by 2 for every single request that comes my way. The database connections seem to reset only when I stop the Flask process. With time, the MySQL server throws the below error:
`sqlalchemy.exc.TimeoutError: QueuePool limit of size 10 overflow 10 reached, connection timed out, timeout 30 (Background on this error at: http://sqlalche.me/e/3o7r)`
I am serving the app using gunicorn and gevent/eventlet with 2 worker processes. I use python3.
Am I missing something here? I tried ending the db session and disposing the engine, but this does not seem to work.
Solution
I finally found a fix to the above problem.
I used the declarative model defined in here instead of following the quickstart documentation for Flask-SQLAlchemy given here.
The changed files are as follows:
db.py
:
from sqlalchemy import create_engine
from sqlalchemy.orm import scoped_session, sessionmaker
from sqlalchemy.ext.declarative import declarative_base
engine = create_engine(DB_URI, convert_unicode=True)
db_session = scoped_session(sessionmaker(autocommit=False,
autoflush=False,
bind=engine))
Base = declarative_base()
Base.query = db_session.query_property()
def init_db():
import user
Base.metadata.create_all(bind=engine)
main.py
:
from db import init_db, db_session
init_db()
@app.teardown_appcontext
def shutdown_session(exception=None):
db_session.remove()
user.py
:
from sqlalchemy import Column, Integer, String
from data_models.db import Base
class User(Base):
id = db.Column(Integer, primary_key=True)
username = db.Column(String(80), unique=True, nullable=False)
email = db.Column(String(120), unique=True, nullable=False)
To query for records we could either use User.query.filter_by().all()
or db_engine.execute()
.
To write new data into the database, we can use the following:
new_user_entry = User(username = "abc", email = "[email protected]")
db_session.add(new_user_entry)
db_session.commit()
Answered By - lordlabakdas
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