Full Code Implementation (main.py)

Python3




import tornado.ioloop
import tornado.web
from tornado import gen
from sqlalchemy import create_engine, Column, Integer, String
from sqlalchemy.orm import sessionmaker
from sqlalchemy.ext.declarative import declarative_base
 
# Define the SQLAlchemy model
Base = declarative_base()
 
class User(Base):
    __tablename__ = 'users'
 
    id = Column(Integer, primary_key=True)
    name = Column(String)
 
# Configure SQLAlchemy
engine = create_engine("sqlite:///mydatabase.db")
SessionFactory = sessionmaker(bind=engine)
 
# Define asynchronous SQLAlchemy query
@gen.coroutine
def query_user_by_name(name):
    session = SessionFactory()
 
    try:
        result = session.query(User).filter(User.name == name).first()
        raise gen.Return(result)
    finally:
        session.close()
 
# Tornado request handler
class UserHandler(tornado.web.RequestHandler):
    async def get(self, name):
        user = await query_user_by_name(name)
        if user:
            self.write(f"User found: {user.name}")
        else:
            self.write("User not found")
 
def make_app():
    return tornado.web.Application([
        (r"/user/([^/]+)", UserHandler),
    ])
 
if __name__ == "__main__":
    app = make_app()
    app.listen(8888)
    tornado.ioloop.IOLoop.current().start()


*Here, This code snippets are for the reference purpose. In real life scenario, all the codes are written in different files.

Video Output



How to make SQLAlchemy in Tornado to be async?

In the world of internet improvement, asynchronous programming has grown in importance to efficiently manage excessive degrees of concurrency. Tornado is a popular asynchronous web framework for Python, regarded for handling thousands of concurrent transactions easily. SQLAlchemy, alternatively, is an effective Object-Relational Mapping (ORM) library that simplifies database interactions in Python applications. Combining the power of Tornado and SQLAlchemy can result in sturdy and high-performance internet applications. In this article, we explore how to make SQLAlchemy work easily in a Tornado application, whilst leveraging the power of asynchronous programming.

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Full Code Implementation (main.py)

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