docs/source/cpp/recipe_driver/driver_example.py

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# RECIPE STARTS HERE
#: After verifying the basic driver functionality, we can use the
#: ``adbc_driver_manager`` Python package's built-in dbapi implementation
#: to expose a ready-to-go Pythonic database API. This is also useful for
#: high-level testing!
#:
#: First, we'll import pathlib for a few path calculations and the
#: ``adbc_driver_manager``'s ``dbapi`` module:
from pathlib import Path

from adbc_driver_manager import dbapi


#: Next, we'll define a ``connect()`` function that wraps ``dbapi.connect()``
#: with the location of the shared library we built using ``cmake`` in the previous
#: section. For the purposes of our tutorial, this will be in the CMake ``build/``
#: directory.
def connect(uri: str):
    build_dir = Path(__file__).parent / "build"
    for lib in [
        "libdriver_example.dylib",
        "libdriver_example.so",
        "driver_example.dll",
    ]:
        driver_lib = build_dir / lib
        if driver_lib.exists():
            return dbapi.connect(
                driver=str(driver_lib.resolve()), db_kwargs={"uri": uri}
            )

    # Try to find it on the dynamic loader path
    return dbapi.connect(driver="driver_example", db_kwargs={"uri": uri})


#: Next, we can give our driver a go! The two pieces we implemented in the driver
#: were the "bulk ingest" feature and "select all from", so let's see if it works!
if __name__ == "__main__":
    import os

    import pyarrow

    with connect(uri=Path(__file__).parent.as_uri()) as con:
        data = pyarrow.table({"col": [1, 2, 3]})
        with con.cursor() as cur:
            cur.adbc_ingest("example.arrows", data, mode="create")

        with con.cursor() as cur:
            cur.execute("SELECT * FROM example.arrows")
            print(cur.fetchall())
            # Output: [(1,), (2,), (3,)]

        os.unlink(Path(__file__).parent / "example.arrows")