Publish Bitbucket-Connected Dashboards in Tableau Server



Use CData JDBC drivers and Tableau Server to visualize live Bitbucket data.

Tableau Server is a visual analytics platform transforming the way businesses use data to solve problems. When paired with the CData JDBC Driver for Bitbucket, you get access to live Bitbucket data within Tableau Server. This article shows how to connect to Bitbucket in Tableau Desktop, publish a Data Source to Tableau Server, and build a simple chart from that data.

The CData JDBC Driver enables high-speed access to live Bitbucket data in Tableau Server. Once you install the driver, you simply authenticate with Bitbucket and you can immediately start building responsive, dynamic visualizations and dashboards. By surfacing Bitbucket data using native Tableau data types and handling complex filters, aggregations, & other operations automatically, CData JDBC Driver grants seamless access to Bitbucket data.

Enable Connectivity to Bitbucket in Tableau Server

Start by installing the CData JDBC Driver on the machine hosting Tableau Server.

If your server is a Linux Machine:

  1. Copy cdata.jdbc.bitbucket.jar and cdata.tableau.bitbucket.lic.
  2. Place the copies in the Tableau Server Connectors folder (/opt/tableau/tableau_driver/jdbc).
  3. Restart Tableau Server.

If your server is a Windows Machine:

  1. Copy cdata.jdbc.bitbucket.jar and cdata.tableau.bitbucket.lic.
  2. Place the copy in the Tableau Server drivers directory (C:\ Program Files\Tableau\Drivers).
  3. Restart Tableau Server.

Next, install the CData JDBC Driver on the machine running Tableau Desktop. Before starting Tableau on Windows, make sure that you have placed the .jar file in the C:\Program Files\Tableau\Drivers folder. Before starting Tableau on macOS, make sure that you have placed the .jar file in the ~/Library/Tableau/Drivers folder.

Connect to Bitbucket in Tableau Desktop

Once the driver is installed on the Server machine, we can configure a connection to Bitbucket in Tableau Desktop and publish a Bitbucket-based Data Source to Tableau Server.

  1. Open Tableau Desktop.
  2. Click More under Connect -> To a Server.
  3. Select "Other Databases (JDBC)".
  4. Configure the connection to the data. The driver comes with a connection string builder that streamlines creating and managing the content of connection strings. Note that you will need to manually add "jdbc:bitbucket" to the beginning of the connection string.
  5. Click "Sign In".

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.

Discover Schemas and Query Data

Once you establish the connection to Bitbucket data, you can configure which entities to visualize.

  1. Select CData from the Database pull-down menu.
  2. Select Bitbucket from the Schema pull-down menu.
  3. Drag the tables and views you wish to visualize 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 auto-loads the changes in the preview area.

Publish Data to Tableau Server

After you configure the data you wish to visualize, you can publish the Data Source to a Tableau Server instance. In Tableau Desktop:

  1. Click Server -> Sign In.
  2. Enter the URL for your Tableau Server.
  3. Authenticate with Tableau Server credentials.
  4. Click Server -> Publish Data Source and select your data source.
  5. Click Publish.
  6. Select the Project, name the Data Source, and optionally add a description.
  7. Click Publish.

This creates a new entry under the server's data source list, from which you an change the data source's permissions, view its history, and perform other management tasks.

Note that workstation connected to the same server will be able to use the same source in Tableau Desktop, even if the driver isn't installed there. Also, workbooks created directly on Tableau Server (via the web interface) can use this source.

Visualize Bitbucket Data in Tableau Server

With the Data Source published to Tableau Server, you are ready to visualize Bitbucket data.

  1. Login to your Tableau Server instance.
  2. Connect to the remote source using the Search for Data -> Tableau Server in the Connect sidebar.
  3. Click the published Data Source.
  4. Click New Workbook.
  5. In the workbook, Bitbucket fields are listed as Dimensions and Measures, depending on the data type. The CData JDBC Driver discovers data types automatically, allowing you to leverage the powerful data processing and visualization features of Tableau.
  6. Drag a field from the Dimensions or Measures area to Rows or Columns. Tableau creates column or row headers.
  7. 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 Server, you can easily create robust visualizations and reports on Bitbucket data. Download a free, 30-day trial and get started today.

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