Description:

gbq 1.0.5

GBQ
Python wrapper for interacting Google BigQuery.
This package provides an interface by wrapping Google's low level library. It exposes options to provide input as json objects which can be used for various CI/CD tools.
Usage
Basic Usage
from gbq import BigQuery

# BigQuery project id as listed in the Google Developers Console.
project_id = 'project_id'

# BigQuery dataset id as listed in the Google Developers Console.
dataset_id = 'dataset_id'

# BigQuery table/view id as listed in the Google Developers Console.
structure_id = 'structure_id'

# BigQuery structure definition as defined in the Google Developers Console.
json_schema = {"type": "table", "schema": [{"id": "integer"}]}

# Service account email address as listed in the Google Developers Console.
svc_account = '{"type": "service_account", "project_id": "project_id"}'

bq = BigQuery(svc_account=svc_account, project=project_id)

bq.create_or_update_structure(project_id, dataset_id, structure_id, json_schema)

Documentation
Check out the project documentation

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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