DataBind Apache Airflow Data to the DevExpress Data Grid

Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use the CData API Driver for ADO.NET with the DevExpress Windows Forms and Web controls to provide Apache Airflow data to a chart.

The CData API Driver for ADO.NET incorporates conventional ADO.NET data access components compatible with third-party controls. You can adhere to the standard ADO.NET data binding procedures to establish two-way access to real-time data through UI controls. This article will demonstrate the utilization of CData components for data binding with DevExpress UI Controls (Windows Forms and Web controls), specifically binding to a chart that visualizes live data.

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).

Windows Forms Controls

The code below shows how to populate a DevExpress chart with Apache Airflow data. The APIDataAdapter binds to the Series property of the chart control. The Diagram property of the control defines the x- and y-axes as the column names.


using (APIConnection connection = new APIConnection(
"Profile=C:\profiles\ApacheAirflow.apip;AuthScheme=APIKey;ProfileSettings='APIKey=your_jwt_token;Server=http://localhost:8080';")) {
  APIDataAdapter dataAdapter = new APIDataAdapter(
  "SELECT DagRunId, State FROM DagRuns WHERE DagId = 'example_dag'", connection);
  
  DataTable table = new DataTable();
  dataAdapter.Fill(table);
  DevExpress.XtraCharts.Series series = new DevExpress.XtraCharts.Series();
  chartControl1.Series.Add(series);
  series.DataSource = table;
  series.ValueDataMembers.AddRange(new string[] { "State" });
  series.ArgumentScaleType = DevExpress.XtraCharts.ScaleType.Qualitative;
  series.ArgumentDataMember = "DagRunId";
  series.ValueScaleType = DevExpress.XtraCharts.ScaleType.Numerical;
  chartControl1.Legend.Visibility = DevExpress.Utils.DefaultBoolean.False;
  ((DevExpress.XtraCharts.SideBySideBarSeriesView)series.View).ColorEach = true;                              
}
The complete code example and the resulting chart.

Web Controls

The code below shows how to populate a DevExpress Web control with Apache Airflow data. The APIDataAdapter binds to the Series property of the chart; the Diagram property defines the x- and y-axes as the column names.


using DevExpress.XtraCharts;

using (APIConnection connection = new APIConnection(
"Profile=C:\profiles\ApacheAirflow.apip;AuthScheme=APIKey;ProfileSettings='APIKey=your_jwt_token;Server=http://localhost:8080';"))
{
  APIDataAdapter APIDataAdapter1 = new APIDataAdapter("SELECT DagRunId, State FROM DagRuns WHERE DagId = 'example_dag'", connection);
  DataTable table = new DataTable();
  APIDataAdapter1.Fill(table);
  DevExpress.XtraCharts.Series series = new Series("Series1", ViewType.Bar);
  WebChartControl1.Series.Add(series);
  series.DataSource = table;
  series.ValueDataMembers.AddRange(new string[] { "State" });
  series.ArgumentScaleType = ScaleType.Qualitative;
  series.ArgumentDataMember = "DagRunId";
  series.ValueScaleType = ScaleType.Numerical;
  ((DevExpress.XtraCharts.SideBySideBarSeriesView)series.View).ColorEach = true;
}
An ASP.NET application created with the ADO.NET Provider and the DevExpress Web Forms control. (Salesforce is shown.)

Ready to get started?

Connect to live data from Apache Airflow with the API Driver

Connect to Apache Airflow