semvec/pypi-packages huggingface dataset:
adbc-driver-manager 1.10.0
A generic entrypoint for ADBC drivers.
Requires Python: >=3.10

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# ADBC Driver Manager for Python

This package contains bindings for the ADBC Driver Manager, as well as a
[DBAPI 2.0/PEP 249-compatible][dbapi] interface on top.  This can be used to
load ADBC drivers at runtime and use them from Python.  Backend-specific
packages like `adbc_driver_postgresql` wrap this package in a more convenient
interface, and should be preferred where they exist.

The DBAPI 2.0 interface requires PyArrow, and exposes a number of extensions
mimicking those of [Turbodbc][turbodbc] or [DuckDB][duckdb]'s Python packages
to allow you to retrieve Arrow Table objects instead of being limited to the
row-oriented API of the base DBAPI interface.

[dbapi]: https://peps.python.org/pep-0249/
[duckdb]: https://duckdb.org/docs/api/python/overview
[turbodbc]: https://turbodbc.readthedocs.io/en/latest/

## Building

Dependencies: a C++ compiler.

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

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

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

will properly build and install the Python library for you.

See [CONTRIBUTING.md](../../CONTRIBUTING.md) for details.

## Testing

The [SQLite driver](../../c/driver/sqlite/README.md) must be loadable
at runtime (e.g. it must be on `LD_LIBRARY_PATH`, `DYLD_LIBRARY_PATH`,
or `PATH`).

See [CONTRIBUTING.md](../../CONTRIBUTING.md) for details.

```shell
$ export LD_LIBRARY_PATH=path/to/sqlite/driver/
$ pytest -vvx
```
adbc-driver-flightsql 1.10.0
An ADBC driver for working with Apache Arrow Flight SQL.
Requires Python: >=3.10

<!---
  Licensed to the Apache Software Foundation (ASF) under one
  or more contributor license agreements.  See the NOTICE file
  distributed with this work for additional information
  regarding copyright ownership.  The ASF licenses this file
  to you under the Apache License, Version 2.0 (the
  "License"); you may not use this file except in compliance
  with the License.  You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

  Unless required by applicable law or agreed to in writing,
  software distributed under the License is distributed on an
  "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# ADBC Apache Arrow Flight SQL Driver for Python

This package contains bindings for the [Golang Apache Arrow Flight SQL
driver][flightsql], using the [driver manager][driver-manager] to provide a
[DBAPI 2.0/PEP 249-compatible][dbapi] interface on top.

[dbapi]: https://peps.python.org/pep-0249/
[driver-manager]: https://arrow.apache.org/adbc/current/python/driver_manager.html
[flightsql]: https://arrow.apache.org/adbc/current/driver/flight_sql.html

## Building

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

Set the environment variable `ADBC_FLIGHTSQL_LIBRARY` to the path to
`libadbc_driver_flightsql.{dll,dylib,so}` before running `pip install`.

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

export ADBC_FLIGHTSQL_LIBRARY=/path/to/libadbc_driver_flightsql.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_FLIGHTSQL=ON`` you can also add ``-DADBC_BUILD_PYTHON=ON`` to define a ``python`` target.

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

```shell
cmake -S c -B build --preset debug -DADBC_BUILD_PYTHON=ON -DADBC_DRIVER_FLIGHTSQL=ON
cmake --build build --target python
```

will properly build and install the Python library for you.


See [CONTRIBUTING.md](../../CONTRIBUTING.md) for details on the
general build process.

## Testing

To run the tests, use pytest:

```shell
$ pytest -vvx
```

See [CONTRIBUTING.md](../../CONTRIBUTING.md) for details on the
general test process.
adbc-driver-bigquery 1.10.0
An ADBC driver for working with BigQuery.
Requires Python: >=3.10

<!---
  Licensed to the Apache Software Foundation (ASF) under one
  or more contributor license agreements.  See the NOTICE file
  distributed with this work for additional information
  regarding copyright ownership.  The ASF licenses this file
  to you under the Apache License, Version 2.0 (the
  "License"); you may not use this file except in compliance
  with the License.  You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

  Unless required by applicable law or agreed to in writing,
  software distributed under the License is distributed on an
  "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
  KIND, either express or implied.  See the License for the
  specific language governing permissions and limitations
  under the License.
-->

# ADBC BigQuery Driver for Python

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

[dbapi]: https://peps.python.org/pep-0249/
[driver-manager]: https://arrow.apache.org/adbc/current/python/driver_manager.html
[bigquery]: https://arrow.apache.org/adbc/current/driver/bigquery.html

## 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:

```shell
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](../../CONTRIBUTING.md) for details on the
general build process.

## Example

```python
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:

```shell
$ pytest -vvx
```

See [CONTRIBUTING.md](../../CONTRIBUTING.md) for details on the
general test process.