tableschema-bigquery 0.6.0

tableschema-bigquery-py
=======================

| |Travis|
| |Coveralls|
| |PyPi|
| |Gitter|

Generate and load BigQuery tables based on `Table
Schema <http://specs.frictionlessdata.io/table-schema/>`__ descriptors.

Features
--------

- implements ``tableschema.Storage`` interface

Getting Started
---------------

Installation
~~~~~~~~~~~~

The package use semantic versioning. It means that major versions could
include breaking changes. It's highly recommended to specify ``package``
version range in your ``setup/requirements`` file e.g.
``package>=1.0,<2.0``.

.. code:: bash

pip install tableschema-bigquery

To start using Google BigQuery service:

- Create a new project -
`link <https://console.developers.google.com/home/dashboard>`__
- Create a service key -
`link <https://console.developers.google.com/apis/credentials>`__
- Download json credentials and set ``GOOGLE_APPLICATION_CREDENTIALS``
environment variable

Examples
~~~~~~~~

Code examples in this readme requires Python 3.3+ interpreter. You could
see even more example in
`examples <https://github.com/frictionlessdata/tableschema-bigquery-py/tree/master/examples>`__
directory.

.. code:: python

import io
import os
import json
from tableschema import Table
from apiclient.discovery import build
from oauth2client.client import GoogleCredentials

# Prepare BigQuery credentials
os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = '.credentials.json'
credentials = GoogleCredentials.get_application_default()
service = build('bigquery', 'v2', credentials=credentials)
project = json.load(io.open('.credentials.json', encoding='utf-8'))['project_id']

# Load and save table to BigQuery
table = Table('data.csv', schema='schema.json')
table.save('data', storage='bigquery', service=service, project=project, dataset='dataset')

Storage
~~~~~~~

Package implements `Tabular
Storage <https://github.com/frictionlessdata/tableschema-py#storage>`__
interface (see full documentation on the link):

|Storage|

This driver provides an additional API:

``Storage(service, project, dataset, prefix='')``
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

- ``service (object)`` - BigQuery ``Service`` object
- ``project (str)`` - BigQuery project name
- ``dataset (str)`` - BigQuery dataset name
- ``prefix (str)`` - prefix for all buckets

Contributing
------------

The project follows the `Open Knowledge International coding
standards <https://github.com/okfn/coding-standards>`__.

| Recommended way to get started is to create and activate a project
virtual environment.
| To install package and development dependencies into active
environment:

::

$ make install

To run tests with linting and coverage:

.. code:: bash

$ make test

| For linting ``pylama`` configured in ``pylama.ini`` is used. On this
stage it's already
| installed into your environment and could be used separately with more
fine-grained control
| as described in documentation -
https://pylama.readthedocs.io/en/latest/.

For example to sort results by error type:

.. code:: bash

$ pylama --sort <path>

| For testing ``tox`` configured in ``tox.ini`` is used.
| It's already installed into your environment and could be used
separately with more fine-grained control as described in documentation
- https://testrun.org/tox/latest/.

| For example to check subset of tests against Python 2 environment with
increased verbosity.
| All positional arguments and options after ``--`` will be passed to
``py.test``:

.. code:: bash

tox -e py27 -- -v tests/<path>

| Under the hood ``tox`` uses ``pytest`` configured in ``pytest.ini``,
``coverage``
| and ``mock`` packages. This packages are available only in tox
envionments.

Changelog
---------

Here described only breaking and the most important changes. The full
changelog and documentation for all released versions could be found in
nicely formatted `commit
history <https://github.com/frictionlessdata/tableschema-bigquery-py/commits/master>`__.

v0.x
~~~~

Initial driver implementation.

.. |Travis| image:: https://img.shields.io/travis/frictionlessdata/tableschema-bigquery-py/master.svg
:target: https://travis-ci.org/frictionlessdata/tableschema-bigquery-py
.. |Coveralls| image:: http://img.shields.io/coveralls/frictionlessdata/tableschema-bigquery-py.svg?branch=master
:target: https://coveralls.io/r/frictionlessdata/tableschema-bigquery-py?branch=master
.. |PyPi| image:: https://img.shields.io/pypi/v/tableschema-bigquery.svg
:target: https://pypi.python.org/pypi/tableschema-bigquery
.. |Gitter| image:: https://img.shields.io/gitter/room/frictionlessdata/chat.svg
:target: https://gitter.im/frictionlessdata/chat
.. |Storage| image:: https://raw.githubusercontent.com/frictionlessdata/tableschema-py/master/data/storage.png