Release: 1.4.39 | Release Date: June 24, 2022

# SQLAlchemy 1.4 Documentation

# Source code for examples.asyncio.basic

    """Illustrates the asyncio engine / connection interface.

    In this example, we have an async engine created by
    :func:`_engine.create_async_engine`.   We then use it using await
    within a coroutine.

    """

    import asyncio

    from sqlalchemy import Column
    from sqlalchemy import Integer
    from sqlalchemy import MetaData
    from sqlalchemy import String
    from sqlalchemy import Table
    from sqlalchemy.ext.asyncio import create_async_engine

    meta = MetaData()

    t1 = Table(
        "t1", meta, Column("id", Integer, primary_key=True), Column("name", String)
    )

    async def async_main():
        # engine is an instance of AsyncEngine
        engine = create_async_engine(
            "postgresql+asyncpg://scott:tiger@localhost/test",
            echo=True,
        )

        # conn is an instance of AsyncConnection
        async with engine.begin() as conn:

            # to support SQLAlchemy DDL methods as well as legacy functions, the
            # AsyncConnection.run_sync() awaitable method will pass a "sync"
            # version of the AsyncConnection object to any synchronous method,
            # where synchronous IO calls will be transparently translated for
            # await.
            await conn.run_sync(meta.drop_all)
            await conn.run_sync(meta.create_all)

            # for normal statement execution, a traditional "await execute()"
            # pattern is used.
            await conn.execute(
                t1.insert(), [{"name": "some name 1"}, {"name": "some name 2"}]
            )

        async with engine.connect() as conn:

            # the default result object is the
            # sqlalchemy.engine.Result object
            result = await conn.execute(t1.select())

            # the results are buffered so no await call is necessary
            # for this case.
            print(result.fetchall())

            # for a streaming result that buffers only segments of the
            # result at time, the AsyncConnection.stream() method is used.
            # this returns a sqlalchemy.ext.asyncio.AsyncResult object.
            async_result = await conn.stream(t1.select())

            # this object supports async iteration and awaitable
            # versions of methods like .all(), fetchmany(), etc.
            async for row in async_result:
                print(row)

    asyncio.run(async_main())