adbc-driver-bigquery 1.8.0

An ADBC driver for working with BigQuery.

ADBC BigQuery Driver for Python

This package contains bindings for the BigQuery driver, using the driver manager to provide a DBAPI 2.0/PEP 249-compatible interface on top.

Building

Dependencies: a build of the BigQuery driver, and the adbc-driver-manager Python package. Optionally, install PyArrow to use the DBAPI 2.0-compatible interface.

Set the environment variable ADBC_BIGQUERY_LIBRARY to the path to libadbc_driver_bigquery.{dll,dylib,so} before running pip install.

# If not already installed
pip install -e ../adbc_driver_manager

export ADBC_BIGQUERY_LIBRARY=/path/to/libadbc_driver_bigquery.so
pip install --no-deps -e .

For users building from the arrow-adbc source repository, you can alternately use CMake to manage library dependencies and set environment variables for you. Assuming you specify -DADBC_DRIVER_BIGQUERY=ON you can also add -DADBC_BUILD_PYTHON=ON to define a python target.

For example, assuming you run cmake from the project root:

cmake -S c -B build --preset debug -DADBC_BUILD_PYTHON=ON -DADBC_DRIVER_BIGQUERY=ON
cmake --build build --target python

will properly build and install the Python library for you.

See CONTRIBUTING.md for details on the general build process.

Example

import adbc_driver_bigquery.dbapi
from adbc_driver_bigquery import DatabaseOptions

db_kwargs = {
    DatabaseOptions.AUTH_TYPE.value: DatabaseOptions.AUTH_VALUE_CREDENTIALS_FILE,
    DatabaseOptions.CREDENTIALS.value: "credentials.json",
    DatabaseOptions.PROJECT_ID.value: "bigquery-poc-418913",
    DatabaseOptions.DATASET_ID.value: "google_trends",
    DatabaseOptions.TABLE_ID.value: "small_top_terms",
}
with adbc_driver_bigquery.dbapi.connect(db_kwargs) as conn:
    with conn.cursor() as cur:
        cur.execute("SELECT 1")
        print(cur.fetch_arrow_table())

Testing

To run the tests, use pytest:

$ pytest -vvx

See CONTRIBUTING.md for details on the general test process.