Visualize Bitbucket Data from Tableau

With CData Drivers for Bitbucket, you can use data access standards to unlock connectivity to business intelligence tools like Tableau. The CData JDBC Driver for Bitbucket allows you to connect from Tableau on Windows and macOS. This article covers how to discover schemas and query Bitbucket data data in real-time.

NOTE: If you are using Tableau 2020.3 or higher, you can use the CData JDBC Driver for Bitbucket. If you wish to connect to Bitbucket data in Tableau Cloud, you will need to use CData Connect.

Connect to Bitbucket in Tableau

Before starting Tableau, make sure you've placed the .jar file in the correct folder:

• Windows: C:\Program Files\Tableau\Drivers
• MacOS: ~/Library/Tableau/Drivers

Once your .jar file is in place, establishing a connection is straightforward.

1. Start Tableau.
2. Under To a Server, select More.
3. Select Other Databases (JDBC)
4. Enter the JDBC connection string in the URL field.

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.

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the Bitbucket JDBC Driver. Either double-click the .jar file or execute the .jar file from the command-line.

From Windows:

java -jar 'C:\Program Files\CData[product_name]\lib\cdata.jdbc.bitbucket.jar'

From MacOS:

java -jar cdata.jdbc.bitbucket.jar

Fill in the connection properties and copy the connection string to the clipboard.

When you configure the JDBC URL, 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 reports and visualizations.

The following is a sample URL created in the designer:

jdbc:bitbucket:Workspace=myworkspaceslug;Schema=InformationInitiateOAuth=GETANDREFRESH;
5. Select Sign in.

Discover Schemas and Query Data

1. Select CData from the Database pull-down menu.
2. Select CData from the Schema pull-down menu.
3. Drag the table onto the join area. You can include multiple tables.
4. Select Update Now or Automatically Update. Update Now lets you preview the first 10,000 rows of the data source (or enter the number of rows you want to see in the Rows text box). Automatically Update automatically reflects the changes in the preview area.
5. In the Connection menu, select the Live option, so that you skip loading a copy of the data into Tableau and instead work on real-time data.
6. Click the tab for your worksheet. Columns are listed as Dimensions and Measures, depending on the data type. The CData Driver discovers data types automatically, allowing you to leverage the powerful data processing and visualization features of Tableau.
7. Click and drag a field from the Dimensions or Measures area to Rows or Columns. Tableau creates column or row headers.
8. Select one of the chart types from the Show Me tab. Tableau displays the chart type that you selected.

Using the CData JDBC Driver for Bitbucket with Tableau, you can easily create robust visualizations and reports on Bitbucket data. Download a free, 30-day trial and get started today.