Apache Airflow Reporting in OBIEE with the Apache Airflow JDBC Driver

The CData JDBC Driver for Apache Airflow is a standard database driver that can integrate real-time access to Apache Airflow data into your Java-based reporting server. This article shows how to deploy the driver to Oracle Business Intelligence Enterprise Edition (OBIEE) and create reports on Apache Airflow data that reflect any changes.

Deploy the JDBC Driver

Follow the steps below to add the JDBC driver to WebLogic's classpath.

For WebLogic 12.2.1, simply place the driver JAR and .lic file into DOMAIN_HOME\lib; for example, ORACLE_HOME\user_projects\domains\MY_DOMAIN\lib. These files will be added to the server classpath at startup.

You can also manually add the driver to the classpath: This is required for earlier versions. Prepend the following to PRE_CLASSPATH in setDomainEnv.cmd (Windows) or setDomainEnv.sh (Unix). This script is located in the bin subfolder of the folder for that domain. For example: ORACLE_HOME\user_projects\domains\MY_DOMAIN\bin.

set PRE_CLASSPATH=your-installation-directory\lib\cdata.jdbc.api.jar;%PRE_CLASSPATH%

Restart all servers; for example, run the stop and start commands in DOMAIN_HOME\bitools\bin.

Create a JDBC Data Source for Apache Airflow

After deploying the JDBC driver, you can create a JDBC data source from BI Publisher.

1. Log into BI Publisher, at the URL http://localhost:9502/analytics, for example, and click Administration -> Manage BI Publisher.
2. Click JDBC Connection -> Add Data Source.
3. Enter the following information:
   • Data Source Name: Enter the name that users will create connections to in their reports.
   • Driver Type: Select Other.
   • Database DriverClass: Enter the driver class, cdata.jdbc.api.APIDriver.
   • Connection String: Enter the JDBC URL.

     Start by setting the Profile connection property to the location of the ApacheAirflow Profile on disk (e.g. C:\profiles\ApacheAirflow.apip). Next, set the ProfileSettings connection property to the connection string for ApacheAirflow (see below).

     ApacheAirflow API Profile Settings

     Apache Airflow 3 uses JWT Bearer tokens for API authentication. You can generate a token from the Airflow web UI under Settings or via the Airflow CLI using airflow users create and the /api/v2/auth/token endpoint. Note that this profile targets Apache Airflow 3.x using the /api/v2 REST API. The legacy /api/v1 endpoint used by Airflow 2.x is not supported.

     After setting the following connection properties, you are ready to connect:

     • AuthScheme: Set this to APIKey.
     • APIKey: Set this to your Apache Airflow JWT Bearer token.
     • Server: Set this to the base URL of your Airflow instance (e.g. http://localhost:8080).

     Built-in Connection String Designer

     For assistance in constructing the JDBC URL, use the connection string designer built into the Apache Airflow JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

     
     java -jar cdata.jdbc.api.jar
     

     Fill in the connection properties and copy the connection string to the clipboard.

     

     When you configure the JDBC URL, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

     A typical JDBC URL is below:

     jdbc:api:Profile=C:\profiles\ApacheAirflow.apip;AuthScheme=APIKey;ProfileSettings='APIKey=your_jwt_token;Server=http://localhost:8080';

   • Username: Enter the username.
   • Password: Enter the password.
4. In the Security section, select the allowed user roles.

Create Real-Time Apache Airflow Reports

You can now create reports and analyses based on real-time Apache Airflow data. Follow the steps below to use the standard report wizard to create an interactive report that reflects any changes to Apache Airflow data.

1. On the global header, click New -> Data Model.
2. On the Diagram tab, select SQL query in the menu.
3. Enter a name for the query and in the Data Source menu select the Apache Airflow JDBC data source you created.
4. Select standard SQL and enter a query like the following:

   SELECT DagRunId, State FROM DagRuns WHERE DagId = 'example_dag'

   
5. Click View Data to generate the sample data to be used as you build your report.
6. Select the number of rows to include in the sample data, click View, and then click Save As Sample Data.
7. Click Create Report -> Use Data Model.
8. Select Guide Me and on the Select Layout page select the report objects you want to include. In this example we select Chart and Table.
9. Drop a numeric column like State onto the Drop Value Here box on the y-axis. Drop a dimension column like DagRunId onto the Drop Label Here box on the x-axis.
10. Click Refresh to pick up any changes to the Apache Airflow data.