Connect to Bitbucket Data from Crystal Reports
Crystal Reports is a business intelligence application by SAP designed to help you analyze your data with well-formatted, pixel-perfect, and multi-page reports. When paired with CData Connect AI, Crystal Reports gets access to live Bitbucket data. This article demonstrates how to connect to Bitbucket using Connect AI and report on Bitbucket data in Crystal Reports.
CData Connect AI provides a pure SQL Server interface for Bitbucket, allowing you to query data from Bitbucket without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc.) directly to Bitbucket, leveraging server-side processing to return the requested Bitbucket data quickly.
Configure Bitbucket Connectivity for Crystal Reports
Connectivity to Bitbucket from Crystal Reports is made possible through CData Connect AI. To work with Bitbucket data from Crystal Reports, we start by creating and configuring a Bitbucket connection.
- Log into Connect AI, click Sources, and then click Add Connection
- Select "Bitbucket" from the Add Connection panel
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Enter the necessary authentication properties to connect to Bitbucket.
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:
- Go to Settings (the gear icon) and select Workspace Settings.
- In the Apps and Features section, select OAuth Consumers.
- Click Add Consumer.
- Enter a name and description for your custom application.
- 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.
- 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.
- Select which permissions to give your OAuth application. These determine what data you can read and write with it.
- To save the new custom application, click Save.
- 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.
- Click Save & Test
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Navigate to the Permissions tab in the Add Bitbucket Connection page and update the User-based permissions.
Add a Personal Access Token
When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.
- Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
- On the Settings page, go to the Access Tokens section and click Create PAT.
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Give the PAT a name and click Create.
- The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.
With the connection configured and a PAT generated, you are ready to connect to Bitbucket data from Crystal Reports.
Connect to Bitbucket from Crystal Reports using Connect AI
To establish a connection from Crystal Reports to CData Connect AI, you will need to download the JDBC driver.
- Open the Client Tools page of CData Connect AI.
- Search for and select JDBC.
- Download and run the setup file.
- When the installation is complete, locate the JDBC Connect JAR file in the JDBC driver's installation directory, for example, C:\Program Files\CData\JDBC Driver for CData Connect\lib.
- Copy the JDBC Connect JAR file (cdata.jdbc.connect.jar).
After copying the JDBC CData Connect JAR file, you will need to paste it into the Crystal Reports installation location and configure the connection to Connect AI.
- Find the installation directory for Crystal Reports, for example, C:\Program Files (x86)\SAP BusinessObjects\SAP BusinessObjects Enterprise XI 4.0\java\lib
- Paste the JDBC Connect JAR file into the Crystal Reports installation directory.
- Go to the parent java folder. For example, C:\Program Files (x86)\SAP BusinessObjects\SAP BusinessObjects Enterprise XI 4.0\java This folder should contain a CRConfig file.

- Open CRConfig in a text editor.
- Add the path to the JDBC CData Connect JAR file in the
of the CRConfig file, for example, C:\Program Files (x86)\SAP BusinessObjects\SAP BusinessObjects Enterprise XI 4.0\java\lib 
- Log into Crystal Reports and start a blank report.
- In the Database Expert dialog, click Create New Connection.
- Select the JDBC data source and the tables you want to add. Click OK.

- In the Connection dialog, enter the Connection URL (e.g. jdbc:connect:AuthScheme=Basic;user=username;password=PAT;) and Database Classname (e.g. cdata.jdbc.connect.ConnectDriver).

- Click Finish. The Database Expert dialog displays all available connections.

You can now create reports with the connected data.
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