Build Semantic Layer Views for Bitbucket Data in APOS Live Data Gateway

APOS Live Data Gateway (LDG) is a data connection and data transformation solution that enables live data connectivity and expanded data source options for SAP Analytics Cloud and other SAP solutions. When paired with CData Connectors, users can build semantic layer views for live Bitbucket data, enabling real-time analytics on Bitbucket just like working with a relational database.

With built-in optimized data processing, the CData Connector 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.

Download and Install the Connector Files

In order to access Bitbucket data through the APOS Live Data Gateway, you will need to download the connector files from APOS and install them on the machine hosting the Live Data Gateway. An APOS representative can deliver the necessary files.

• Install the CData DLL file (System.Data.CData.Bitbucket.dll) to the APOS Live Data Gateway installation directory (C:\Program Files\Live Data Gateway\Admin\ by default).
• Install the CData JAR file (cdata.jdbc.bitbucket.jar) to the ConnectionTest_lib folder in the installation directory (C:\Program Files\Live Data Gateway\Admin\ConnectionTest_lib\ by default).
• Install the CData JAR file (cdata.jdbc.bitbucket.jar) to the lib folder in the Web UI installation directory (e.g.: C:\LDG_WebUI\lib\)

Configuring the Bitbucket Connection String

Before establishing the connection to Bitbucket from the APOS Live Data Gateway, you need to configure the Bitbucket JDBC Connection String.

Built-in Connection String Designer

For assistance in constructing the JDBC Connection String, 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.

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.

Your connection string will look similar to the following:

Connecting to Bitbucket & Creating a Semantic Layer View

After installing the connector files and configuring the connection string, you are ready to connect to Bitbucket in the Live Data Gateway Admin tool and build a semantic layer view in the Live Data Gateway Web UI.

Configuring the Connection to Bitbucket

1. Log into your APOS Live Data Gateway Manager
2. If you haven't already, update your APOS LDG license file
   1. Click File -> Configurations
   2. Click on the "..." Menu for the License
   3. Select the license file from the APOS team that includes your CData Connector license
3. In the APOS Live Data Gateway Manager, click "Add"
4. In the APOS Live Data Gateway On the Connection tab, configure the connection:
   • Set Data Source to "Database"
   • Set Database to "CData Drivers"
   • Set Database CData Drivers to "Bitbucket"
   • Set Connection String to the connection string configured earlier (e.g.: jdbc:Bitbucket:Workspace=myworkspaceslug;Schema=Information
   • Set Driver Class to "cdata.jdbc.bitbucket.BitbucketDriver" (this should be set by default)
5. Click Test Connection
6. Click Save
7. Give your connection a unique prefix (e.g. "bitbucket")
8. Highlight the newly created connection and click File -> "Approve Users For Web UI"
9. Approve the appropriate DB users to create views and click "Save"

At this point, we are ready to build our semantic layer view in the Live Data Gateway Web UI.

Creating a Semantic Layer View

1. In your browser, navigate to the APOS Live Data Gateway Portal
2. Select a Connection (e.g. "bitbucket")
3. Since Bitbucket does not require a User or Password to authenticate, you may use whatever values you wish for User Name and Password
4. Click "Login"
5. Once connected, click "Semantic Layer" to create a new semantic layer view
6. Click "New Semantic Layer View"
7. Set the Semantic Layer View Prefix and Semantic Layer View Name
8. Click "Step 2"
9. Select the table(s) and column(s) you wish to include in your view
10. Click "Step 3"
11. Select the Measures from the available table columns
12. Click "Step 5" (we skipped the "Extra Dimensions" step)
13. Add any Variable Prompts
14. Click "Step 6"
15. Define any Table Joins
16. Click "Review"
17. Review you semantic layer view and click "Save"

With the Semantic Layer View created, you are ready to access your Bitbucket data through the APOS Live Data Gateway, enabling real-time data connectivity to Bitbucket data from SAP Analytics Cloud and other SAP solutions.

More Information & Free Evaluation

Please visit APOS Systems - APOS Solutions - Request Evaluation Software to request evaluation software or email [email protected] for more information on working with your live Bitbucket data in APOS Live Data Gateway.