DataBind Charts to Amazon S3 Data

DataBinding facilitates two-way interaction with data through UI controls. Using the CData ADO.NET Provider for Amazon S3 streamlines the process of binding Amazon S3 data to Windows Forms and Web controls within Visual Studio. In this article, we will demonstrate using wizards to establish a binding between Amazon S3 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.

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 Amazon S3, follow the steps outlined below using the Data Source Configuration Wizard. Within the wizard, you'll have the option to choose the specific Amazon S3 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 Amazon S3 Data Source.

   Below is a typical connection string:

   AccessKey=a123;SecretKey=s123;

   To authorize Amazon S3 requests, provide the credentials for an administrator account or for an IAM user with custom permissions. Set AccessKey to the access key Id. Set SecretKey to the secret access key.

   Note: You can connect as the AWS account administrator, but it is recommended to use IAM user credentials to access AWS services.

   For information on obtaining the credentials and other authentication methods, refer to the Getting Started section of 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.

   👁 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 ObjectsACL 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 Name and the y-axis to OwnerId.

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 Amazon S3 data. Run the chart to display the current data. 👁 The chart, filled with data at run time.

Code Walk-through

DataBinding to Amazon S3 data requires only a few lines of code and can be completed in three easy steps.

1. Connect to Amazon S3.
2. Create the AmazonS3DataAdapter 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:

AmazonS3Connection conn = new AmazonS3Connection("AccessKey=a123;SecretKey=s123;");
AmazonS3Command comm = new AmazonS3Command("SELECT Name, OwnerId FROM ObjectsACL WHERE Name = 'TestBucket'", conn);
AmazonS3DataAdapter da = new AmazonS3DataAdapter(comm);
DataSet dataset = new DataSet();
da.Fill(dataset);

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