DataBind Charts to MongoDB Data

DataBinding facilitates two-way interaction with data through UI controls. Using the CData ADO.NET Provider for MongoDB streamlines the process of binding MongoDB data to Windows Forms and Web controls within Visual Studio. In this article, we will demonstrate using wizards to establish a binding between MongoDB data and a chart that dynamically updates. Additionally, the code walk-through section will guide you through the creation of a chart using just 10 lines of code.

Getting Started

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Binding Data to a Chart

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

Configure the Connection and Select Database Objects

To create a chart control and establish a connection to MongoDB, follow the steps outlined below using the Data Source Configuration Wizard. Within the wizard, you'll have the option to choose the specific MongoDB entities you wish to bind to.

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. 👁 Add a data source to be bound to the chart.
   
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 MongoDB Data Source.

   Below is a typical connection string:

   Server=MyServer;Port=27017;Database=test;User=test;Password=Password;

   Set the Server, Database, User, and Password connection properties to connect to MongoDB. To access MongoDB collections as tables you can use automatic schema discovery or write your own schema definitions. Schemas are defined in .rsd files, which have a simple format. You can also execute free-form queries that are not tied to the schema.

   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.

   👁 Connection properties for the selected data source in the Add Connection dialog. (Salesforce is shown.)
   
5. Choose the database objects you want to work with. This example uses the restaurants table. 👁 Select database objects. (Salesforce is shown.)
   

DataBind

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

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 MongoDB data. Run the chart to display the current data. 👁 The chart, filled with data at run time.

Code Walk-through

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

1. Connect to MongoDB.
2. Create the MongoDBDataAdapter 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:

MongoDBConnection conn = new MongoDBConnection("Server=MyServer;Port=27017;Database=test;User=test;Password=Password;");
MongoDBCommand comm = new MongoDBCommand("SELECT borough, cuisine FROM restaurants", conn);
MongoDBDataAdapter da = new MongoDBDataAdapter(comm);
DataSet dataset = new DataSet();
da.Fill(dataset);

chart1.DataSource = dataset; 
chart1.Series[0].XValueMember = "borough";
chart1.Series[0].YValueMembers = "cuisine";
// Insert code for additional chart formatting here.
chart1.DataBind();