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mistercrunch merged 4 commits into from
Oct 29, 2019
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Provide documentation for using a Service Account to connect to BigQuery #8462

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Provide documentation for using a Service Account to connect to BigQuery
Oct 28, 2019
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Oct 28, 2019
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32 changes: 32 additions & 0 deletions docs/installation.rst
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Expand Up @@ -434,8 +434,40 @@ The connection string for BigQuery looks like this ::

bigquery://{project_id}

Additionally, you will need to configure authentication via a
Service Account. Create your Service Account via the Google
Cloud Platform control panel, provide it access to the appropriate
BigQuery datasets, and download the JSON configuration file
for the service account. In Superset, Add a JSON blob to
the "Secure Extra" field in the database configuration page
with the following format ::

{
"credentials_info": <contents of credentials JSON file>
}

The resulting file should have this structure ::

{
"credentials_info": {
"type": "service_account",
"project_id": "...",
"private_key_id": "...",
"private_key": "...",
"client_email": "...",
"client_id": "...",
"auth_uri": "...",
"token_uri": "...",
"auth_provider_x509_cert_url": "...",
"client_x509_cert_url": "...",
}
}

You should then be able to connect to your BigQuery datasets.

To be able to upload data, e.g. sample data, the python library `pandas_gbq` is required.


Elasticsearch
-------------

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