How to Access Live Bitbucket Data in Power Automate Desktop via ODBC

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

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

Connect to Bitbucket 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.

For most queries, you must set the Workspace. The only exception to this is the Workspaces table, which does not require this property to be set, as querying it provides a list of workspace slugs that can be used to set Workspace. To query this table, you must set Schema to 'Information' and execute the query SELECT * FROM Workspaces>.

Setting Schema to 'Information' displays general information. To connect to Bitbucket, set these parameters:

• Schema: To show general information about a workspace, such as its users, repositories, and projects, set this to Information. Otherwise, set this to the schema of the repository or project you are querying. To get a full set of available schemas, query the sys_schemas table.
• Workspace: Required if you are not querying the Workspaces table. This property is not required for querying the Workspaces table, as that query only returns a list of workspace slugs that can be used to set Workspace.

Authenticating to Bitbucket

Bitbucket supports OAuth authentication only. To enable this authentication from all OAuth flows, you must create a custom OAuth application, and set AuthScheme to OAuth.

Be sure to review the Help documentation for the required connection properties for you specific authentication needs (desktop applications, web applications, and headless machines).

Creating a custom OAuth application

From your Bitbucket account:

1. Go to Settings (the gear icon) and select Workspace Settings.
2. In the Apps and Features section, select OAuth Consumers.
3. Click Add Consumer.
4. Enter a name and description for your custom application.
5. Set the callback URL:
   • For desktop applications and headless machines, use http://localhost:33333 or another port number of your choice. The URI you set here becomes the CallbackURL property.
   • For web applications, set the callback URL to a trusted redirect URL. This URL is the web location the user returns to with the token that verifies that your application has been granted access.
6. If you plan to use client credentials to authenticate, you must select This is a private consumer. In the driver, you must set AuthScheme to client.
7. Select which permissions to give your OAuth application. These determine what data you can read and write with it.
8. To save the new custom application, click Save.
9. After the application has been saved, you can select it to view its settings. The application's Key and Secret are displayed. Record these for future use. You will use the Key to set the OAuthClientId and the Secret to set the OAuthClientSecret.

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 Bitbucket Data into Power Automate Workflows

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

In the flow editor, you can add the actions to connect to Bitbucket, query Bitbucket 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 Bitbucket Source

After configuring the action, click Save.

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 Issues

After configuring the action, click Save.

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.

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.

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.

Now you have a workflow to move Bitbucket data into a CSV file.

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

Related Power Automate Articles

This article walks through using the CData ODBC Driver for Bitbucket with Power Automate Desktop. Check out our other articles for more ways to work with Power Automate (Desktop & Online):

• Bitbucket Data in Power Automate Desktop using CData Connect
• Bitbucket Data in Power Automate (Online) using CData Connect