"""Illustrates use of the sqlalchemy.ext.asyncio.AsyncSession object for asynchronous ORM use. """ import asyncio from sqlalchemy import Column from sqlalchemy import ForeignKey from sqlalchemy import Integer from sqlalchemy import String from sqlalchemy.ext.asyncio import AsyncSession from sqlalchemy.ext.asyncio import create_async_engine from sqlalchemy.ext.declarative import declarative_base from sqlalchemy.future import select from sqlalchemy.orm import relationship from sqlalchemy.orm import selectinload Base = declarative_base() class A(Base): __tablename__ = "a" id = Column(Integer, primary_key=True) data = Column(String) bs = relationship("B") class B(Base): __tablename__ = "b" id = Column(Integer, primary_key=True) a_id = Column(ForeignKey("a.id")) data = Column(String) async def async_main(): """Main program function.""" engine = create_async_engine( "postgresql+asyncpg://scott:tiger@localhost/test", echo=True, ) async with engine.begin() as conn: await conn.run_sync(Base.metadata.drop_all) await conn.run_sync(Base.metadata.create_all) async with AsyncSession(engine) as session: async with session.begin(): session.add_all( [ A(bs=[B(), B()], data="a1"), A(bs=[B()], data="a2"), A(bs=[B(), B()], data="a3"), ] ) # for relationship loading, eager loading should be applied. stmt = select(A).options(selectinload(A.bs)) # AsyncSession.execute() is used for 2.0 style ORM execution # (same as the synchronous API). result = await session.execute(stmt) # result is a buffered Result object. for a1 in result.scalars(): print(a1) for b1 in a1.bs: print(b1) # for streaming ORM results, AsyncSession.stream() may be used. result = await session.stream(stmt) # result is a streaming AsyncResult object. async for a1 in result.scalars(): print(a1) for b1 in a1.bs: print(b1) result = await session.execute(select(A).order_by(A.id)) a1 = result.scalars().first() a1.data = "new data" await session.commit() asyncio.run(async_main())