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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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29 changes: 29 additions & 0 deletions docs/installation.rst
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Expand Up @@ -434,8 +434,37 @@ 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
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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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