DataBind Charts to Azure Data Catalog Data

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Azure Data Catalog ADO.NET Provider

Rapidly create and deploy powerful .NET applications that integrate with Azure Data Catalog.

Use the standard ADO.NET procedures for databinding to provide bidirectional access to Azure Data Catalog data from controls in the Visual Studio toolbox. This article demonstrates a graphical approach using wizards in Visual Studio, as well as how to databind with only a few lines of code.

DataBinding enables bidirectional access to data from UI controls. You can use the CData ADO.NET Provider for Azure Data Catalog to easily databind Azure Data Catalog data to Windows Forms and Web controls in Visual Studio. This article shows how to use wizards to databind Azure Data Catalog data to a chart that reflects any changes. The code walk-through section shows how to create a chart in 10 lines of code.

DataBind to a Chart

DataBinding consists of three steps: Instantiate the control, configure the data source, and databind.

Configure the Connection and Select Database Objects

Follow the procedure below to use the Data Source Configuration Wizard to create a chart control and the connection to Azure Data Catalog. In the wizard, you can select the Azure Data Catalog entities you want to databind.

  1. In a Windows Forms project, drag and drop a Chart control from the toolbox to the form. In the Data section of the Chart properties, select DataSource and then select Add Project Data Source from the menu.
  2. In the Data Source Configuration Wizard that appears, select Database -> Dataset.
  3. In the Choose Your Data Connection step, click New Connection.
  4. In the Add Connection dialog, click Change to select the CData Azure Data Catalog Data Source.

    You can optionally set the following to read the different catalog data returned from Azure Data Catalog.

      CatalogName: Set this to the CatalogName associated with your Azure Data Catalog. To get your Catalog name, navigate to your Azure Portal home page > Data Catalog > Catalog Name

    Connect Using OAuth Authentication

    You must use OAuth to authenticate with Azure Data Catalog. OAuth requires the authenticating user to interact with Azure Data Catalog using the browser. For more information, refer to the OAuth section in the help documentation.

    When you configure the connection, 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.

  5. Choose the database objects you want to work with. This example uses the Tables table.


After adding the data source and selecting database objects, you can bind the objects to the chart. This example assigns the x-axis to DslAddressDatabase and the y-axis to Type.

  1. In the Chart properties, click the button in the Series property to open the Series Collection Editor.
  2. In the Series properties, select the columns you want for the x- and y-axes: Select columns from the menu in the XValueMember and YValueMember properties.

The chart is now databound to the Azure Data Catalog data. Run the chart to display the current data.

Code Walk-through

DataBinding to Azure Data Catalog data requires only a few lines of code and can be completed in three easy steps.

  1. Connect to Azure Data Catalog.
  2. Create the AzureDataCatalogDataAdapter to execute the query and create a DataSet to be filled with its results.
  3. DataBind the result set to the chart.

Below is the complete code:

AzureDataCatalogConnection conn = new AzureDataCatalogConnection("InitiateOAuth=GETANDREFRESH"); AzureDataCatalogCommand comm = new AzureDataCatalogCommand("SELECT DslAddressDatabase, Type FROM Tables WHERE Name = 'FactProductInventory'", conn); AzureDataCatalogDataAdapter da = new AzureDataCatalogDataAdapter(comm); DataSet dataset = new DataSet(); da.Fill(dataset); chart1.DataSource = dataset; chart1.Series[0].XValueMember = "DslAddressDatabase"; chart1.Series[0].YValueMembers = "Type"; // Insert code for additional chart formatting here. chart1.DataBind();