Create an SAP BusinessObjects Universe on the CData JDBC Driver for Bitbucket

This article shows how to use the CData JDBC Driver for Bitbucket to connect to Bitbucket from SAP BusinessObjects Business Intelligence applications. You will use the Information Design Tool to analyze Bitbucket data and create a universe on the CData JDBC Driver for Bitbucket. You will then connect to the universe from Web Intelligence.

Create the JDBC Connection to Bitbucket

Follow the steps below to create a connection to the Bitbucket JDBC data source in the Information Design Tool.

1. Copy the CData JAR and .lic file into the following subfolder in the installation directory for BusinessObjects: dataAccess\connectionServer\jdbc\drivers\jdbc. The CData JAR is located in the lib subfolder of the installation directory.
2. Right-click your project and click New -> New Relational Connection.
3. In the wizard that results, click Generic -> Generic JDBC datasource -> JDBC Drivers.
4. On the next page of the wizard enter the connection details.

5. On the next page, set the Authentication Mode option to "Use specified username and password". Enter the username, password, and JDBC URL. The JDBC URL begins with jdbc:bitbucket: and is followed by a semicolon-separated list of connection properties.

   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.

   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.

   A typical JDBC URL is below:

   jdbc:bitbucket:Workspace=myworkspaceslug;Schema=InformationInitiateOAuth=GETANDREFRESH
6. Enter the driver class: cdata.jdbc.bitbucket.BitbucketDriver
7. Finish the wizard with the default values for connection pooling and custom parameters.

Analyze Bitbucket Data in the Information Design Tool

You can use the JDBC connection to analyze Bitbucket data in the Information Design Tool.

1. In the Local Projects view, double-click the connection (the .cnx file) to open the Bitbucket data source.
2. On the Show Values tab, you can load table data and enter SQL queries. To view table data, expand the node for the table, right-click the table, and click Show Values. Values will be displayed in the Raw Data tab.
3. On the Analysis tab, you can then analyze data by dragging and dropping columns onto the axes of a chart.

Publish the Local Connection

To publish the universe to the CMS, you additionally need to publish the connection.

1. In the Local Projects view, right-click the connection and click Publish Connection to a Repository.
2. Enter the host and port of the repository and connection credentials.
3. Select the folder where the connection will be published.
4. In the success dialog that results, click Yes to create a connection shortcut.

Create a Universe on the JDBC Driver for Bitbucket

You can follow the steps below to create a universe on the JDBC driver. The universe in this example will be published to a repository, so it uses the published connection created in the previous step.

1. In the Information Design Tool, click File->New Universe.
2. Select your project.
3. Select the option to create the universe on a relational data source.
4. Select the shortcut to the published connection.
5. Enter a name for the Data Foundation.
6. Import tables and columns that you want to access as objects.
7. Enter a name for the Business Layer.

Publish the Universe

You can follow the steps below to publish the universe to the CMS.

1. In the Local Projects view, right-click the business layer and click Publish -> To a Repository.
2. In the Publish Universe dialog, enter any integrity checks before importing.
3. Select or create a folder on the repository where the universe will be published.

Query Bitbucket Data in Web Intelligence

You can use the published universe to connect to Bitbucket in Web Intelligence.

1. Copy the cdata.jdbc.bitbucket.lic file to the following subfolder in the BusinessObjects installation directory: \dataAccess\connectionServer\jdbc\drivers\jdbc. The license file is located in the lib subfolder of the installation directory.
2. Open Web Intelligence from the BusinessObjects launchpad and create a new document.
3. Select the Universe option for the data source.
4. Select the Bitbucket universe. This opens a Query Panel. Drag objects to the Result Objects pane to use them in the query.