Connect to Bitbucket Data in the Denodo Platform

Denodo Platform is a data virtualization product providing a single point of contact for enterprise database data. When paired with the CData JDBC Driver for Bitbucket, Denodo users can work with live Bitbucket data alongside other enterprise data sources. This article explains how to create a virtual data source for Bitbucket in the Denodo Virtual DataPort Administrator.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Bitbucket data. When you issue complex SQL queries to Bitbucket, the driver pushes supported SQL operations, like filters and aggregations, directly to Bitbucket and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze Bitbucket data using native data types.

Create the Bitbucket Virtual Port

To connect to live Bitbucket data from Denodo, you need to copy the JDBC Driver JAR file to the external library directory for Denodo and create a new JDBC Data Source from the Virtual DataPort Administrator tool.

1. Download the CData JDBC Driver for Bitbucket installer, unzip the package, and run the JAR file to install the driver.
2. Copy the JAR File (and license file if it exists) from the installation location (typically C:\Program Files\CData\CData JDBC Driver for Bitbucket\lib\) to the Denodo external library directory (C:\Denodo\Denodo Platform\lib-external\jdbc-drivers\cdata-bitbucket-19).
3. Open the Denodo Virtual DataPort Administrator tool and navigate to the Server Explorer tab.
4. Right-click "admin" and select New -> Data source -> JDBC. 👁 Creating a new JDBC data source.
   
5. Configure the JDBC Connection:
   • Name: your choice, e.g.: bitbucket
   • Database adapter: Generic
   • Driver class path: C:\Denodo\Denodo Platform\lib-external\jdbc-drivers\cdata-bitbucket-19
   • Driver class: cdata.jdbc.bitbucket.BitbucketDriver

   • Database URI: Set this to a JDBC URL using the necessary connection properties. For example,

     jdbc:bitbucket:Workspace=myworkspaceslug;Schema=Information;InitiateOAuth=GETANDREFRESH;

     👁 Configuring the JDBC connection (NetSuite is shown).
     

     Information on creating the Database URI follows:

     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.

     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.
     👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)
     
6. Click the "Test connection" button to confirm the configuration and click Save.

View Bitbucket Data in the VirtualPort Administrator Tool

After creating the data source, you can create a base view of Bitbucket data for use in the Denodo Platform.

1. Click the "Create base view" button in the newly created VirtualPort (admin.Bitbucket).
2. Expand the object tree and select the objects (tables) you wish to import. 👁 Selecting objects to import (NetSuite is shown).
   
3. Click the "Create selected" button to create views of the Bitbucket data.
   Optional: Click "Create associations from foreign keys" to define relationships between the objects.
4. With the view(s) created, navigate to a table (cdata_bitbucket_issues) in the Server Explorer and double-click the selected table.
5. In the new tab, click "Execution panel" to open a query panel.
6. Customize the query in the "Execute" tab or use the default:

   SELECT * FROM cdata_bitbucket_issues CONTEXT ('i18n'='us_est', 'cache_wait_for_load'='true')
   

   👁 Configuring the query to view the data.
   
7. Click Execute to view the data. 👁 Viewing the data.
   

With the base view created, you can now work with live Bitbucket data like you would any other data source in Denodo Platform, for example, querying Bitbucket in the Denodo Data Catalog.

Download a free, 30-day trial of the CData JDBC Driver for Bitbucket and start working with your live Bitbucket data in Denodo Platform. Reach out to our Support Team if you have any questions.