The CData ADO.NET Provider for SAP Success Factors LMS implements two ADO.NET interfaces you can use to retrieve data from SAPSuccessFactorsLMS: SAPSuccessFactorsLMSDataAdapter and SAPSuccessFactorsLMSDataReader objects. Whereas SAPSuccessFactorsLMSDataAdapter objects retrieve a single result set of all the data that matches a query, SAPSuccessFactorsLMSDataReader objects fetch data in subset increments as needed.

Using the SAPSuccessFactorsLMSDataAdapter

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 SAPSuccessFactorsLMSDataAdapter is slower than the SAPSuccessFactorsLMSDataReader because the Fill method needs to retrieve all data from the data source before returning.

The following example selects the Id and Column1 columns of the SampleTable_1 table:

C#

string connectionString = "User=username;UserType=Password;CompanyId=CompanyId;Url=https://api4.successfactors.com";

using (SAPSuccessFactorsLMSConnection connection = new SAPSuccessFactorsLMSConnection(connectionString)) {
  SAPSuccessFactorsLMSDataAdapter dataAdapter = new SAPSuccessFactorsLMSDataAdapter(
  "SELECT Id, Column1 FROM SampleTable_1", connection);

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

  Console.WriteLine("Contents of SampleTable_1.");

  foreach (DataRow row in table.Rows) {
    Console.WriteLine("{0}: {1}", row["Id"], row["Column1"]);
  }
}

VB.NET

Dim connectionString As String = "User=username;UserType=Password;CompanyId=CompanyId;Url=https://api4.successfactors.com"

Using connection As New SAPSuccessFactorsLMSConnection(connectionString)
  Dim dataAdapter As New SAPSuccessFactorsLMSDataAdapter("SELECT Id, Column1 FROM SampleTable_1", connection)

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

  Console.WriteLine("Contents of SampleTable_1.")

  For Each row As DataRow In table.Rows
    Console.WriteLine("{0}: {1}", row("Id"), row("Column1"))
  Next
End Using