Connect to Bitbucket Data in HULFT Integrate

HULFT Integrate is a modern data integration platform that provides a drag-and-drop user interface to create cooperation flows, data conversion, and processing so that complex data connections are easier than ever to execute. When paired with the CData JDBC Driver for Bitbucket, HULFT Integrate can work with live Bitbucket data. This article explains how to connect to Bitbucket and move the data into a CSV file.

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.

Enable Access to Bitbucket

To enable access to Bitbucket data from HULFT Integrate projects:

1. Copy the CData JDBC Driver JAR file (and license file if it exists), cdata.jdbc.bitbucket.jar (and cdata.jdbc.bitbucket.lic), to the jdbc_adapter subfolder for the Integrate Server
2. Restart the HULFT Integrate Server and launch HULFT Integrate Studio

Build a Project with Access to Bitbucket Data

Once you copy the JAR files, you can create a project with access to Bitbucket data. Start by opening Integrate Studio and creating a new project.

1. Name the project
2. Ensure the "Create script" checkbox is checked
3. Click Next 👁 Creating a new project.
   
4. Name the script (e.g.: BitbuckettoCSV)

Once you create the project, add components to the script to copy Bitbucket data to a CSV file.

Configure an Execute Select SQL Component

Drag an "Execute Select SQL" component from the Tool Palette (Database -> JDBC) into the Script workspace.

1. In the "Required settings" tab for the Destination, click "Add" to create a new connection for Bitbucket. Set the following properties:
   • Name: Bitbucket Connection Settings
   • Driver class name: cdata.jdbc.bitbucket.BitbucketDriver
   • URL: jdbc:bitbucket:Workspace=myworkspaceslug;Schema=Information;InitiateOAuth=GETANDREFRESH;
     
     👁 JDBC connection settings (Salesforce is shown).
     

     Built-in Connection String Designer

     For assistance 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.)
     
2. Write your SQL statement. For example:

   SELECT Title, ContentRaw FROM Issues

3. Click "Extraction test" to ensure the connection and query are configured properly
4. Click "Execute SQL statement and set output schema"
5. Click "Finish" 👁 Configuring the Execute Select SQL operation
   

Configure a Write CSV File Component

Drag a "Write CSV File" component from the Tool Palette (File -> CSV) onto the workspace.

1. Set a file to write the query results to (e.g. Issues.csv)
2. Set "Input data" to the "Select SQL" component
3. Add columns for each field selected in the SQL query
4. In the "Write settings" tab, check the checkbox to "Insert column names into first row"
5. Click "Finish"

Map Bitbucket Fields to the CSV Columns

Map each column from the "Select" component to the corresponding column for the "CSV" component.

Finish the Script

Drag the "Start" component onto the "Select" component and the "CSV" component onto the "End" component. Build the script and run the script to move Bitbucket data into a CSV file.

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