How to Access Live Google Cloud Storage Data in Power Automate Desktop via ODBC

The CData ODBC Driver for Google Cloud Storage enables you to access live Google Cloud Storage data in workflow automation tools like Power Automate. This article shows how to integrate Google Cloud Storage data into a simple workflow, moving Google Cloud Storage data into a CSV file.

Through optimized data processing, CData ODBC Drivers offer unmatched performance for interacting with live Google Cloud Storage data in Microsoft Power Automate. When you issue complex SQL queries from Power Automate to Google Cloud Storage, the driver pushes supported SQL operations, like filters and aggregations, directly to Google Cloud Storage and utilizes the embedded SQL engine to process unsupported operations client-side (e.g. SQL functions and JOIN operations).

Connect to Google Cloud Storage as an ODBC Data Source

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

Authenticate with a User Account

You can connect without setting any connection properties for your user credentials. After setting InitiateOAuth to GETANDREFRESH, you are ready to connect.

When you connect, the Google Cloud Storage OAuth endpoint opens in your default browser. Log in and grant permissions, then the OAuth process completes

Authenticate with a Service Account

Service accounts have silent authentication, without user authentication in the browser. You can also use a service account to delegate enterprise-wide access scopes.

You need to create an OAuth application in this flow. See the Help documentation for more information. After setting the following connection properties, you are ready to connect:

• InitiateOAuth: Set this to GETANDREFRESH.
• OAuthJWTCertType: Set this to "PFXFILE".
• OAuthJWTCert: Set this to the path to the .p12 file you generated.
• OAuthJWTCertPassword: Set this to the password of the .p12 file.
• OAuthJWTCertSubject: Set this to "*" to pick the first certificate in the certificate store.
• OAuthJWTIssuer: In the service accounts section, click Manage Service Accounts and set this field to the email address displayed in the service account Id field.
• OAuthJWTSubject: Set this to your enterprise Id if your subject type is set to "enterprise" or your app user Id if your subject type is set to "user".
• ProjectId: Set this to the Id of the project you want to connect to.

The OAuth flow for a service account then completes.

When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing workflows.

Integrate Google Cloud Storage Data into Power Automate Workflows

After configuring the DSN for Google Cloud Storage, you are ready to integrate Google Cloud Storage data into your Power Automate workflows. Open Microsoft Power Automate, add a new flow, and name the flow.

👁 A new flow in Power Automate

In the flow editor, you can add the actions to connect to Google Cloud Storage, query Google Cloud Storage using SQL, and write the query results to a CSV document.

Add an Open SQL Connection Action

Add an "Open SQL connection" action (Actions -> Database) and configure the properties.

• Connection string: DSN=CData Google Cloud Storage Source

After configuring the action, click Save.

👁 A configured 'Open SQL connection' action

Add an Execute SQL Statement Action

Add an "Execute SQL statement" action (Actions -> Database) and configure the properties.

• Get connection by: SQL connection variable
• SQL connection: %SQLConnection% (the variable from the "Open SQL connection" action above)
• SQL statement: SELECT * FROM Buckets

After configuring the action, click Save.

👁 A configured 'Execute SQL statement' action

Add a Write to CSV File Action

Add a "Write to CSV file" action (Actions -> File) and configure the properties.

• Variable to write to: %QueryResult% (the variable from the "Execute SQL statement" action above)
• File path: set to a file on disk
• Configure Advanced settings as needed.

After configuring the action, click Save.

👁 A configured 'Write to CSV file' action

Add a Close SQL Connection Action

Add a "Close SQL connection" action (Actions -> Database) and configure the properties.

• SQL Connection: %SQLConnection% (the variable from the "Open SQL connection" action above)

After configuring the action, click Save.

👁 A configured 'Close SQL connection' action

Save & Run the Flow

Once you have configured all the actions for the flow, click the disk icon to save the flow. Click the play icon to run the flow.

👁 A fully configured workflow

Now you have a workflow to move Google Cloud Storage data into a CSV file.

👁 Application data in a CSV file (Salesforce is shown)

With the CData ODBC Driver for Google Cloud Storage, you get live connectivity to Google Cloud Storage data within your Microsoft Power Automate workflows.

Related Power Automate Articles

This article explains how to use the CData ODBC Driver for Google Cloud Storage with Power Automate Desktop. Check out our other articles for more ways to work with Power Automate (Desktop & Online):

• Google Cloud Storage Data in Power Automate Desktop using CData Connect