pygbq 0.22

Easily integrate data in BigQuery

PyGBQ

Easily integrate data in BigQuery

Example

The following snippet

from pygbq import Client
import requests
client = Client(default_dataset='Finance')

@client.gbq(how='replace')
def transactions(start_date):
    data = requests.get(url='some/api/endpoint', headers={'start_date': start_date}).json()
    return data

if __name__ == "__main__":
    transactions("2020-11-25")

will (re)create table Finance.transactions in your default project.

Install and set up

pip install pygbq

Set up the authentication.

Documentation

• gbq - main decorator
• update_table_using_temp - if you want to use the decorator as a function
• table - friendly interface to get a table from BigQuery
• set_dataset - set default dataset in the project
• MyError - if you need to return a value with Flask
• read_jsonl - read newline delimited json
• generate_schema - might be useful for the first integration when you want to see schema
• get_secret - get a secret version from Secret Manager
• add_secret - add a secret version to Secret Manager