• Introduction
• Requirements
• General Information
• Retrieving Data using MailChimpCommand and MailChimpDataReader
• Retrieving Data using MailChimpDataAdapter
• Additional Information

Introduction

This tutorial describes how to use MailChimpCommand, MailChimpDataReader, and MailChimpDataAdapter components.

Requirements

This tutorial supposes that you know how to connect to server.

Note that if you do not use design-time (specifically, if you do not place on a designer MailChimpConnection component from toolbox), you have to embed license information manually. This is described in the Licensing topic.

General Information

The main function of any database application is establishing a connection to a data source and working with data contained in it. ADO.NET data providers serve as a bridge between an application and a data source, and allow you to execute commands as well as to retrieve data by using a DataReader or a DataAdapter. Updating data involves using the Command and DataAdapter objects.

Retrieving Data using MailChimpCommand and MailChimpDataReader

In this sample we will use MailChimpCommand and MailChimpDataReader to retrieve data. MailChimpDataReader allows retrieving data in pages. While you read data from it, it automatically queries next pages from Mailchimp. MailChimpDataReader offers higher performance than MailChimpDataAdapter, especially when you query a lot of data. For more information, refer to the description of these classes in our documentation.

using Devart.Data.MailChimp;
...
class Program
{
    static void Main(string[] args) {

        const string connectionString = "api key=8b10fe893c9732d12befe0b7d846ffcb-us10;";
        const string sql = "SELECT Name, Type FROM Folders";

        using (MailChimpConnection connection = new MailChimpConnection(connectionString)) {

            connection.Open();
            using (MailChimpCommand command = connection.CreateCommand()) {

                command.CommandText = sql;
                using (MailChimpDataReader reader = command.ExecuteReader()) {

                    while (reader.Read()) {

                        Console.WriteLine("{0}\t{1}", reader.GetValue(0), reader.GetValue(1));
                    }
                }
            }
        }
        Console.ReadKey();
    }

}

Imports Devart.Data.MailChimp
...
Module Module1

    Sub Main()

        Const connectionString As String = "api key=8b10fe893c9732d12befe0b7d846ffcb-us10;"
        Const sql As String = "SELECT Name, Type FROM Folders"

        Using connection As New MailChimpConnection(connectionString)

            connection.Open()
            Using command As MailChimpCommand = connection.CreateCommand()

                command.CommandText = sql
                Using reader As MailChimpDataReader = command.ExecuteReader()

                    While reader.Read()

                        Console.WriteLine(reader.GetValue(0) & vbTab & reader.GetValue(1))
                    End While
                End Using
            End Using
        End Using
        Console.ReadKey()
    End Sub

End Module

Retrieving Data using MailChimpDataAdapter

In this sample we will use the MailChimpDataAdapter component. It retrieves data when you call its Fill method. Note that this method needs to retrieve all the queried data from Mailchimp, and it can take some time.

Here is a small sample that demonstrates usage of MailChimpDataAdapter to retrieve data.

    static void Main(string[] args) {

        const string connectionString = "api key=8b10fe893c9732d12befe0b7d846ffcb-us10;";
        const string sql = "SELECT Name, Type FROM Folders";

        using (MailChimpConnection connection = new MailChimpConnection(connectionString)) {

            connection.Open();
            DataTable table = new DataTable("Folders");

            using (MailChimpCommand command = connection.CreateCommand()) {

                command.CommandText = sql;
                using (MailChimpDataAdapter adapter = new MailChimpDataAdapter(command)) {
                    adapter.Fill(table);
                }
            }

            foreach (DataRow row in table.Rows) {
                Console.WriteLine("{0}\t{1}", row[0], row[1]);
            }
        }
        Console.ReadKey();
    }

    Sub Main()

        Const connectionString As String = "api key=8b10fe893c9732d12befe0b7d846ffcb-us10;"
        Const sql As String = "SELECT Name, Type FROM Folders"

        Using connection As New MailChimpConnection(connectionString)

            connection.Open()
            Dim table As New DataTable("Folders")

            Using command As MailChimpCommand = connection.CreateCommand()

                command.CommandText = sql
                Using adapter As New MailChimpDataAdapter(command)
                    adapter.Fill(table)
                End Using
            End Using

            For Each row As DataRow In table.Rows
                Console.WriteLine(row(0) & vbTab & row(1))
            Next
        End Using
        Console.ReadKey()
    End Sub

Additional Information

This tutorial describes only basic ways of working with data. For example, you can take advantage of using Entity Framework ORM technology which is intended for converting data between incompatible type systems in different data sources and object-oriented programming languages. This technology allow you to decrease the amount of code and maintenance required for data-oriented applications. For more information, please refer to Entity Framework section.

See Also

Entity Framework  | Updating Data