jsontableschema-bigquery 0.4.2

Generate BigQuery tables, load and extract data, based on JSON Table Schema descriptors.

# jsontableschema-bigquery-py

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Generate and load BigQuery tables based on JSON Table Schema descriptors.

> Version `v0.3` contains breaking changes:
- renamed `Storage.tables` to `Storage.buckets`
- changed `Storage.read` to read into memory
- added `Storage.iter` to yield row by row

## Getting Started

### Installation

```bash
pip install jsontableschema-bigquery
```

### Storage

Package implements [Tabular Storage](https://github.com/frictionlessdata/jsontableschema-py#storage) interface.

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

We can get storage this way:

```python
import io
import os
import json
from apiclient.discovery import build
from oauth2client.client import GoogleCredentials
from jsontableschema_bigquery import Storage

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']
storage = Storage(service, project, 'dataset', prefix='prefix')
```

Then we could interact with storage:

```python
storage.buckets
storage.create('bucket', descriptor)
storage.delete('bucket')
storage.describe('bucket') # return descriptor
storage.iter('bucket') # yields rows
storage.read('bucket') # return rows
storage.write('bucket', rows)
```

### Mappings

```
schema.json -> bigquery table schema
data.csv -> bigquery talbe data
```

### Drivers

Default Google BigQuery client is used - [docs](https://developers.google.com/resources/api-libraries/documentation/bigquery/v2/python/latest/).

## API Reference

### Snapshot

https://github.com/frictionlessdata/jsontableschema-py#snapshot

### Detailed

- [Docstrings](https://github.com/frictionlessdata/jsontableschema-py/tree/master/jsontableschema/storage.py)
- [Changelog](https://github.com/frictionlessdata/jsontableschema-bigquery-py/commits/master)

## Contributing

Please read the contribution guideline:

[How to Contribute](CONTRIBUTING.md)

Thanks!