How to Connect to a SQL Database in C# Using ADO.NET

Connecting to a SQL database in C# is easier than you think, and thanks to ADO.NET, you can do it with just a few lines of code.

Whether you're building a robust enterprise app or just tinkering with databases for fun, understanding how to make this connection is essential. Let’s break it down!

Step 1: Install the Required Package

First things first, make sure you have the System.Data.SqlClient namespace available.

This is built into .NET Framework, but if you're using .NET Core or later, you should install the Microsoft.Data.SqlClient package via NuGet:

Install-Package Microsoft.Data.SqlClient

Step 2: Define Your Connection String

A connection string contains all the necessary information to connect to your database. Here’s an example of a basic connection string for SQL Server:

string connectionString = "Server=myServerAddress;Database=myDataBase;User Id=myUsername;Password=myPassword;";
  • Server: The name of your SQL Server instance (e.g., localhost, 127.0.0.1, or a remote server).
  • Database: The name of the database you want to connect to.
  • User Id & Password: Your SQL Server credentials (if using SQL authentication). If you’re using Windows Authentication, replace these with Integrated Security=True;.

Step 3: Create the Connection

Now, let’s connect to the database using SqlConnection:

using System;
using System.Data.SqlClient;

class Program
{
    static void Main()
    {
        string connectionString = "Server=myServer;Database=myDB;User Id=myUser;Password=myPass;";
        
        using (SqlConnection connection = new SqlConnection(connectionString))
        {
            try
            {
                connection.Open();
                Console.WriteLine("Connection successful!");
            }
            catch (Exception ex)
            {
                Console.WriteLine("Connection failed: " + ex.Message);
            }
        }
    }
}

Breaking It Down:

  • We wrap our SqlConnection in a using block to ensure proper disposal after use.
  • connection.Open(); establishes the connection.
  • We catch any errors to avoid app crashes (always a good practice).

Step 4: Execute a Simple Query

Now that we’re connected, let’s run a basic SQL query:

using (SqlCommand command = new SqlCommand("SELECT TOP 5 * FROM Users", connection))
{
    using (SqlDataReader reader = command.ExecuteReader())
    {
        while (reader.Read())
        {
            Console.WriteLine($"User: {reader["Name"]}, Email: {reader["Email"]}");
        }
    }
}

What’s Happening Here?

  • We use SqlCommand to define our query.
  • ExecuteReader() fetches the data.
  • We iterate through the SqlDataReader to display the results.

Wrapping Up

And there you have it! You’ve successfully connected to a SQL database in C# using ADO.NET. Now you can run queries, fetch data, and build amazing database-driven applications.

Feeling adventurous? Try inserting, updating, or deleting records using ExecuteNonQuery(). Happy coding! 🚀

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Related

Removing duplicates from a list in C# is a common task, especially when working with large datasets. C# provides multiple ways to achieve this efficiently, leveraging built-in collections and LINQ.

Using HashSet (Fastest for Unique Elements)

A HashSet<T> automatically removes duplicates since it only stores unique values. This is one of the fastest methods:

List<int> numbers = new List<int> { 1, 2, 2, 3, 4, 4, 5 };
numbers = new HashSet<int>(numbers).ToList();
Console.WriteLine(string.Join(", ", numbers)); // Output: 1, 2, 3, 4, 5

Using LINQ Distinct (Concise and Readable)

LINQ’s Distinct() method provides an elegant way to remove duplicates:

List<int> numbers = new List<int> { 1, 2, 2, 3, 4, 4, 5 };
numbers = numbers.Distinct().ToList();
Console.WriteLine(string.Join(", ", numbers)); // Output: 1, 2, 3, 4, 5

Removing Duplicates by Custom Property (For Complex Objects)

When working with objects, DistinctBy() from .NET 6+ simplifies duplicate removal based on a property:

using System.Linq;
using System.Collections.Generic;

class Person
{
    public string Name { get; set; }
    public int Age { get; set; }
}

List<Person> people = new List<Person>
{
    new Person { Name = "Alice", Age = 30 },
    new Person { Name = "Bob", Age = 25 },
    new Person { Name = "Alice", Age = 30 }
};

people = people.DistinctBy(p => p.Name).ToList();
Console.WriteLine(string.Join(", ", people.Select(p => p.Name))); // Output: Alice, Bob

For earlier .NET versions, use GroupBy():

people = people.GroupBy(p => p.Name).Select(g => g.First()).ToList();

Performance Considerations

  • HashSet<T> is the fastest but only works for simple types.
  • Distinct() is easy to use but slower than HashSet<T> for large lists.
  • DistinctBy() (or GroupBy()) is useful for complex objects but may have performance trade-offs.

Conclusion

Choosing the best approach depends on the data type and use case. HashSet<T> is ideal for primitive types, Distinct() is simple and readable, and DistinctBy() (or GroupBy()) is effective for objects.

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String interpolation, introduced in C# 6.0, provides a more readable and concise way to format strings compared to traditional concatenation (+) or string.Format(). Instead of manually inserting variables or placeholders, you can use the $ symbol before a string to directly embed expressions inside brackets.

string name = "Walt";
string job = 'Software Engineer';

string message = $"Hello, my name is {name} and I am a {job}";
Console.WriteLine(message);

This would produce the final output of:

Hello, my name is Walt and I am a Software Engineer

String interpolation can also be chained together into a multiline string (@) for even cleaner more concise results:

string name = "Walt";
string html = $@"
    <div>
        <h1>Welcome, {name}!</h1>
    </div>";
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142

XML (Extensible Markup Language) is a widely used format for storing and transporting data.

In C#, you can create XML files efficiently using the XmlWriter and XDocument classes. This guide covers both methods with practical examples.

Writing XML Using XmlWriter

XmlWriter provides a fast and memory-efficient way to generate XML files by writing elements sequentially.

Example:

using System;
using System.Xml;

class Program
{
    static void Main()
    {
        using (XmlWriter writer = XmlWriter.Create("person.xml"))
        {
            writer.WriteStartDocument();
            writer.WriteStartElement("Person");

            writer.WriteElementString("FirstName", "John");
            writer.WriteElementString("LastName", "Doe");
            writer.WriteElementString("Age", "30");

            writer.WriteEndElement();
            writer.WriteEndDocument();
        }
        Console.WriteLine("XML file created successfully.");
    }
}

Output (person.xml):

<?xml version="1.0" encoding="utf-8"?>
<Person>
    <FirstName>John</FirstName>
    <LastName>Doe</LastName>
    <Age>30</Age>
</Person>

Writing XML Using XDocument

The XDocument class from LINQ to XML provides a more readable and flexible way to create XML files.

Example:

using System;
using System.Xml.Linq;

class Program
{
    static void Main()
    {
        XDocument doc = new XDocument(
            new XElement("Person",
                new XElement("FirstName", "John"),
                new XElement("LastName", "Doe"),
                new XElement("Age", "30")
            )
        );
        doc.Save("person.xml");
        Console.WriteLine("XML file created successfully.");
    }
}

This approach is ideal for working with complex XML structures and integrating LINQ queries.

When to Use Each Method

  • Use XmlWriter when performance is critical and you need to write XML sequentially.
  • Use XDocument when you need a more readable, maintainable, and flexible way to manipulate XML.

Conclusion

Writing XML files in C# is straightforward with XmlWriter and XDocument. Choose the method that best suits your needs for performance, readability, and maintainability.

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