Ready to get started?

Download a free trial of the Bitbucket Driver to get started:

 Download Now

Learn more:

Bitbucket Icon Bitbucket JDBC Driver

Rapidly create and deploy powerful Java applications that integrate with Bitbucket.

ETL Bitbucket in Oracle Data Integrator



This article shows how to transfer Bitbucket data into a data warehouse using Oracle Data Integrator.

Leverage existing skills by using the JDBC standard to read and write to Bitbucket: Through drop-in integration into ETL tools like Oracle Data Integrator (ODI), the CData JDBC Driver for Bitbucket connects real-time Bitbucket data to your data warehouse, business intelligence, and Big Data technologies.

JDBC connectivity enables you to work with Bitbucket just as you would any other database in ODI. As with an RDBMS, you can use the driver to connect directly to the Bitbucket APIs in real time instead of working with flat files.

This article walks through a JDBC-based ETL -- Bitbucket to Oracle. After reverse engineering a data model of Bitbucket entities, you will create a mapping and select a data loading strategy -- since the driver supports SQL-92, this last step can easily be accomplished by selecting the built-in SQL to SQL Loading Knowledge Module.

Install the Driver

To install the driver, copy the driver JAR (cdata.jdbc.bitbucket.jar) and .lic file (cdata.jdbc.bitbucket.lic), located in the installation folder, into the ODI appropriate directory:

  • UNIX/Linux without Agent: ~/.odi/oracledi/userlib
  • UNIX/Linux with Agent: ~/.odi/oracledi/userlib and $ODI_HOME/odi/agent/lib
  • Windows without Agent: %APPDATA%\Roaming\odi\oracledi\userlib
  • Windows with Agent: %APPDATA%\odi\oracledi\userlib and %APPDATA%\odi\agent\lib

Restart ODI to complete the installation.

Reverse Engineer a Model

Reverse engineering the model retrieves metadata about the driver's relational view of Bitbucket data. After reverse engineering, you can query real-time Bitbucket data and create mappings based on Bitbucket tables.

  1. In ODI, connect to your repository and click New -> Model and Topology Objects.
  2. On the Model screen of the resulting dialog, enter the following information:
    • Name: Enter Bitbucket.
    • Technology: Select Generic SQL (for ODI Version 12.2+, select Microsoft SQL Server).
    • Logical Schema: Enter Bitbucket.
    • Context: Select Global.
  3. On the Data Server screen of the resulting dialog, enter the following information:
    • Name: Enter Bitbucket.
    • Driver List: Select Oracle JDBC Driver.
    • Driver: Enter cdata.jdbc.bitbucket.BitbucketDriver
    • URL: Enter the JDBC URL containing the connection string.

      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.

      Below is a typical connection string:

      jdbc:bitbucket:Workspace=myworkspaceslug;Schema=InformationInitiateOAuth=GETANDREFRESH
  4. On the Physical Schema screen, enter the following information:
    • Name: Select from the Drop Down menu.
    • Database (Catalog): Enter CData.
    • Owner (Schema): If you select a Schema for Bitbucket, enter the Schema selected, otherwise enter Bitbucket.
    • Database (Work Catalog): Enter CData.
    • Owner (Work Schema): If you select a Schema for Bitbucket, enter the Schema selected, otherwise enter Bitbucket.
  5. In the opened model click Reverse Engineer to retrieve the metadata for Bitbucket tables.

Edit and Save Bitbucket Data

After reverse engineering you can now work with Bitbucket data in ODI. To edit and save Bitbucket data, expand the Models accordion in the Designer navigator, right-click a table, and click Data. Click Refresh to pick up any changes to the data. Click Save Changes when you are finished making changes.

Create an ETL Project

Follow the steps below to create an ETL from Bitbucket. You will load Issues entities into the sample data warehouse included in the ODI Getting Started VM.

  1. Open SQL Developer and connect to your Oracle database. Right-click the node for your database in the Connections pane and click new SQL Worksheet.

    Alternatively you can use SQLPlus. From a command prompt enter the following:

    sqlplus / as sysdba
  2. Enter the following query to create a new target table in the sample data warehouse, which is in the ODI_DEMO schema. The following query defines a few columns that match the Issues table in Bitbucket: CREATE TABLE ODI_DEMO.TRG_ISSUES (CONTENTRAW NUMBER(20,0),Title VARCHAR2(255));
  3. In ODI expand the Models accordion in the Designer navigator and double-click the Sales Administration node in the ODI_DEMO folder. The model is opened in the Model Editor.
  4. Click Reverse Engineer. The TRG_ISSUES table is added to the model.
  5. Right-click the Mappings node in your project and click New Mapping. Enter a name for the mapping and clear the Create Empty Dataset option. The Mapping Editor is displayed.
  6. Drag the TRG_ISSUES table from the Sales Administration model onto the mapping.
  7. Drag the Issues table from the Bitbucket model onto the mapping.
  8. Click the source connector point and drag to the target connector point. The Attribute Matching dialog is displayed. For this example, use the default options. The target expressions are then displayed in the properties for the target columns.
  9. Open the Physical tab of the Mapping Editor and click ISSUES_AP in TARGET_GROUP.
  10. In the ISSUES_AP properties, select LKM SQL to SQL (Built-In) on the Loading Knowledge Module tab.

You can then run the mapping to load Bitbucket data into Oracle.