Access Bitbucket Data in Mule Applications Using the CData JDBC Driver

The CData JDBC Driver for Bitbucket connects Bitbucket data to Mule applications enabling read , write, update, and delete functionality with familiar SQL queries. The JDBC Driver allows users to easily create Mule applications to backup, transform, report, and analyze Bitbucket data.

This article demonstrates how to use the CData JDBC Driver for Bitbucket inside of a Mule project to create a Web interface for Bitbucket data. The application created allows you to request Bitbucket data using an HTTP request and have the results returned as JSON. The exact same procedure outlined below can be used with any CData JDBC Driver to create a Web interface for the 200+ available data sources.

1. Create a new Mule Project in Anypoint Studio.
2. Add an HTTP Connector to the Message Flow.
3. Configure the address for the HTTP Connector.
4. Add a Database Select Connector to the same flow, after the HTTP Connector.
5. Create a new Connection (or edit an existing one) and configure the properties.
   • Set Connection to "Generic Connection"
   • Select the CData JDBC Driver JAR file in the Required Libraries section (e.g. cdata.jdbc.bitbucket.jar).
   • Set the URL to the connection string for 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:

     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.

   • Set the Driver class name to cdata.jdbc.bitbucket.BitbucketDriver.
   • Click Test Connection.
6. Set the SQL Query Text to a SQL query to request Bitbucket data. For example: SELECT Title, ContentRaw FROM Issues WHERE Id = '1'
7. Add a Transform Message Component to the flow.
8. Set the Output script to the following to convert the payload to JSON:

   %dw 2.0
   output application/json
   ---
   payload
           

9. To view your Bitbucket data, navigate to the address you configured for the HTTP Connector (localhost:8081 by default): http://localhost:8081. The Bitbucket data is available as JSON in your Web browser and any other tools capable of consuming JSON endpoints.

At this point, you have a simple Web interface for working with Bitbucket data (as JSON data) in custom apps and a wide variety of BI, reporting, and ETL tools. Download a free, 30 day trial of the JDBC Driver for Bitbucket and see the CData difference in your Mule Applications today.