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Contains fundamental classes with the core ADO.NET functionality. This includes DataSet and DataRelation, which allow you to manipulate structured relational data. These classes are totally independent of any specific type of database or the way you connect to it. Not used directly in your code. These classes are used by other data provider classes that inherit from them and provide versions customized for a specific data source. Contains the classes you use to connect to an OLE DB data source and execute commands, including OleDbConnection and OleDbCommand. Contains the classes you use to connect to a Microsoft SQL Server database (version 7.0 or later) and execute commands. These classes, such as SqlCommand and SqlConnection, provide all the same properties and methods as their counterparts in the System.Data.OleDb namespace. The only difference is that they are optimized for SQL Server and provide better performance by eliminating the extra OLE DB layer (and by connecting directly to the optimized TDS interface). Contains structures for SQL Server specific data types such as SqlMoney and SqlDateTime. You can use these types to work with SQL Server data types without needing to convert them into the standard .NET equivalents (such as System.Decimal and System.DateTime). These types aren t required, but they do allow you to avoid any potential rounding or conversion problems that could adversely affect data. Contains the classes you use to connect to an Oracle database and execute commands, such as OracleConnection and OracleCommand. Contains the classes you use to connect to a data source through an ODBC driver and execute commands. These classes include OdbcConnection and OdbcCommand.

With disconnected data access, a copy of the data is retained in memory while your code is running. Figure 14-15 shows a model of the DataSet.

On their own, the data classes can t accomplish much. Technically, you could create data objects by hand, build tables and rows in your code, and fill them with information. But in most cases, the information you need is located in a data source such as a relational database. To access this information, extract it, and insert it into the appropriate data objects, you need the data provider classes described in this section. Remember, each one of these classes has a database-specific implementation. That means you use a different, but essentially equivalent, object depending on whether you re interacting with SQL Server, Oracle, or any other ADO.NET provider.

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You fill the DataSet in much the same way that you connect a DataReader. However, although the DataReader holds a live connection, information in the DataSet is always disconnected. The following example shows how you could rewrite the FillAuthorList() method from the earlier example to use a DataSet instead of a DataReader. The changes are highlighted in bold. private void FillAuthorList() { lstAuthor.Items.Clear(); // Define ADO.NET objects. string selectSQL; selectSQL = "SELECT au_lname, au_fname, au_id FROM Authors"; SqlConnection con = new SqlConnection(connectionString); SqlCommand cmd = new SqlCommand(selectSQL, con); SqlDataAdapter adapter = new SqlDataAdapter(cmd); DataSet dsPubs = new DataSet(); // Try to open database and read information. try { con.Open(); // All the information in transferred with one command. // This command creates a new DataTable (named Authors) // inside the DataSet. adapter.Fill(dsPubs, "Authors"); } catch (Exception err) { lblStatus.Text = "Error reading list of names. "; lblStatus.Text += err.Message; } finally { con.Close(); } foreach (DataRow row in dsPubs.Tables["Authors"].Rows) { ListItem newItem = new ListItem(); newItem.Text = row["au_lname"] + ", " + row["au_fname"]; newItem.Value = row["au_id"].ToString(); lstAuthor.Items.Add(newItem); } } The DataAdapter.Fill() method takes a DataSet and inserts one table of information. In this case, the table is named Authors, but any name could be used. That name is used later to access the appropriate table in the DataSet. To access the individual DataRows, you can loop through the Rows collection of the appropriate table. Each piece of information is accessed using the field name, as it was with the DataReader.

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