The CData ADO.NET Provider for Amazon Athena implements two ADO.NET interfaces you can use to retrieve data from Amazon Athena: AmazonAthenaDataAdapter and AmazonAthenaDataReader objects. Whereas AmazonAthenaDataAdapter objects retrieve a single result set of all the data that matches a query, AmazonAthenaDataReader objects fetch data in subset increments as needed.

Using the AmazonAthenaDataAdapter

Use the adapter's Fill method to retrieve data from the data source. An empty DataTable instance is passed as an argument to the Fill method. When the method returns, the DataTable instance is populated with the queried data. Note that the AmazonAthenaDataAdapter is slower than the AmazonAthenaDataReader because the Fill method needs to retrieve all data from the data source before returning.

The following example selects the Name and TotalDue columns of the Customers table:

C#

string connectionString = "AWSAccessKey='a123';AWSSecretKey='s123';AWSRegion='IRELAND';Database='sampledb';S3StagingDirectory='s3://bucket/staging/';";

using (AmazonAthenaConnection connection = new AmazonAthenaConnection(connectionString)) {
  AmazonAthenaDataAdapter dataAdapter = new AmazonAthenaDataAdapter(
  "SELECT Name, TotalDue FROM [AwsDataCatalog].[sampledb].Customers", connection);

  DataTable table = new DataTable();
  dataAdapter.Fill(table);

  Console.WriteLine("Contents of Customers.");

  foreach (DataRow row in table.Rows) {
    Console.WriteLine("{0}: {1}", row["Name"], row["TotalDue"]);
  }
}

VB.NET

Dim connectionString As String = "AWSAccessKey='a123';AWSSecretKey='s123';AWSRegion='IRELAND';Database='sampledb';S3StagingDirectory='s3://bucket/staging/';"

Using connection As New AmazonAthenaConnection(connectionString)
  Dim dataAdapter As New AmazonAthenaDataAdapter("SELECT Name, TotalDue FROM [AwsDataCatalog].[sampledb].Customers", connection)

  Dim table As New DataTable()
  dataAdapter.Fill(table)

  Console.WriteLine("Contents of Customers.")

  For Each row As DataRow In table.Rows
    Console.WriteLine("{0}: {1}", row("Name"), row("TotalDue"))
  Next
End Using