How to Use the Null Coalescing Assignment Operator in C#

The null coalescing assignment operator (??=) introduced in C# 8.0 provides a cleaner way to assign a value to a variable only when it's null. Let's see how and when to use it effectively.

Quick Example

// Instead of writing this:
if (myVariable == null)
    myVariable = defaultValue;

// You can write this:
myVariable ??= defaultValue;

Real-World Examples

Simple Property Initialization

public class UserSettings
{
    private List<string> _preferences;
    
    public List<string> Preferences
    {
        get
        {
            _preferences ??= new List<string>();
            return _preferences;
        }
    }
}

Service Caching

public class ServiceCache
{
    private ApiClient _client;
    
    public ApiClient GetClient()
    {
        _client ??= new ApiClient("https://api.example.com");
        return _client;
    }
}

Lazy Configuration Loading

public class ConfigurationManager
{
    private Dictionary<string, string> _settings;
    
    public string GetSetting(string key)
    {
        _settings ??= LoadSettingsFromFile();
        return _settings.TryGetValue(key, out var value) ? value : null;
    }
    
    private Dictionary<string, string> LoadSettingsFromFile()
    {
        // Load settings logic here
        return new Dictionary<string, string>();
    }
}

Common Gotchas

Reference vs Value Types

The operator works differently with value types - they need to be nullable:

// This won't compile
int count ??= 1;

// This works
int? count ??= 1;

Chaining Operations

// You can chain the operator
string result = first ??= second ??= "default";

// Equivalent to:
if (first == null)
{
    if (second == null)
    {
        second = "default";
    }
    first = second;
}
result = first;

Thread Safety

The operator is not thread-safe by default:

// Not thread-safe
public class SharedCache
{
    private static Dictionary<string, object> _cache;
    
    public object GetItem(string key)
    {
        // Multiple threads could evaluate null simultaneously
        _cache ??= new Dictionary<string, object>();
        return _cache.GetValueOrDefault(key);
    }
}

// Thread-safe version
public class SharedCache
{
    private static Dictionary<string, object> _cache;
    private static readonly object _lock = new object();
    
    public object GetItem(string key)
    {
        lock (_lock)
        {
            _cache ??= new Dictionary<string, object>();
            return _cache.GetValueOrDefault(key);
        }
    }
}

Performance Considerations

The null coalescing assignment operator is compiled to efficient IL code. It generally performs the same as an explicit null check:

// These compile to similar IL
obj ??= new object();

if (obj == null)
    obj = new object();

When to Use It

✅ Good use cases:

  • Lazy initialization of properties
  • Caching values
  • Setting default values for nullable types
  • Simplifying null checks in property getters

❌ Avoid using when:

  • You need thread-safe initialization (use Lazy<T> instead)
  • The right-hand expression has side effects
  • You need more complex null-checking logic

Visual Studio Tips

You can use Quick Actions (Ctrl+.) to convert between traditional null checks and the ??= operator. Look for the suggestion "Use null coalescing assignment" when you have a pattern like:

if (variable == null)
    variable = value;

Version Compatibility

This feature requires:

  • C# 8.0 or later
  • .NET Core 3.0+ or .NET Standard 2.1+
  • Visual Studio 2019+
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Related

When working with SQL Server, you may often need to count the number of unique values in a specific column. This is useful for analyzing data, detecting duplicates, and understanding dataset distributions.

Using COUNT(DISTINCT column_name)

To count the number of unique values in a column, SQL Server provides the COUNT(DISTINCT column_name) function. Here’s a simple example:

SELECT COUNT(DISTINCT column_name) AS distinct_count
FROM table_name;

This query will return the number of unique values in column_name.

Counting Distinct Values Across Multiple Columns

If you need to count distinct combinations of multiple columns, you can use a subquery:

SELECT COUNT(*) AS distinct_count
FROM (SELECT DISTINCT column1, column2 FROM table_name) AS subquery;

This approach ensures that only unique pairs of column1 and column2 are counted.

Why Use COUNT DISTINCT?

  • Helps in identifying unique entries in a dataset.
  • Useful for reporting and analytics.
  • Efficient way to check for duplicates.

By leveraging COUNT(DISTINCT column_name), you can efficiently analyze your database and extract meaningful insights. Happy querying!

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Storing passwords as plain text is dangerous. Instead, you should hash them using a strong, slow hashing algorithm like BCrypt, which includes built-in salting and resistance to brute-force attacks.

Step 1: Install BCrypt NuGet Package

Before using BCrypt, install the BCrypt.Net-Next package:

dotnet add package BCrypt.Net-Next

or via NuGet Package Manager:

Install-Package BCrypt.Net-Next

Step 2: Hash a Password

Use BCrypt.HashPassword() to securely hash a password before storing it:

using BCrypt.Net;

string password = "mySecurePassword123";
string hashedPassword = BCrypt.HashPassword(password);

Console.WriteLine(hashedPassword); // Output: $2a$12$...

Step 3: Verify a Password

To check a user's login attempt, use BCrypt.Verify():

bool isMatch = BCrypt.Verify("mySecurePassword123", hashedPassword);
Console.WriteLine(isMatch); // Output: True

Ensuring proper hashing should be at the top of your list when it comes to building authentication systems.

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When working with large files, reading the entire file at once may be inefficient or unnecessary, especially when you only need the first few lines.

In C#, you can easily read just the first N lines of a file, improving performance and resource management.

Why Read Only the First N Lines?

Reading only the first few lines of a file can be beneficial for:

  • Quickly checking file contents or formats.
  • Processing large files without consuming excessive memory.
  • Displaying previews or samples of file content.

Reading the First N Lines with StreamReader

Here's a simple and efficient method using C#:

using System;
using System.IO;

class FileReader
{
    /// <summary>
    /// Reads the first N lines from a file.
    /// </summary>
    /// <param name="filePath">The path to the file.</param>
    /// <param name="numberOfLines">Number of lines to read.</param>
    /// <returns>Array of strings containing the lines read.</returns>
    public static string[] ReadFirstNLines(string filePath, int numberOfLines)
    {
        List<string> lines = new List<string>();

        using (StreamReader reader = new StreamReader(filePath))
        {
            string line;
            int counter = 0;

            // Read lines until the counter reaches numberOfLines or EOF
            while (counter < numberOfLines && (line = reader.ReadLine()) != null)
            {
                lines.Add(line);
                counter++;
            }
        }

        return lines.ToArray();
    }

Example Usage

Here's a practical example demonstrating the usage of the method above:

string filePath = "C:\\largefile.txt";
int linesToRead = 10;

string[] firstLines = FileReader.ReadFirstNLines(filePath, firstLinesCount);

foreach (string line in firstLines)
{
    Console.WriteLine(line);
}

Efficient and Shorter Alternative with LINQ

For a concise implementation, LINQ can also be used:

using System;
using System.IO;
using System.Linq;

class FileReader
{
    public static IEnumerable<string> ReadFirstNLines(string filePath, int numberOfLines)
    {
        // Take first N lines directly using LINQ
        return File.ReadLines(filePath).Take(numberOfLines);
    }
}

Usage Example with LINQ Method:

string path = "C:\\largeFile.txt";
int n = 10;

var lines = FileReader.ReadFirstNLines(path, n);

foreach (string line in lines)
{
    Console.WriteLine(line);
}

Best Practices

  • Use File.ReadLines instead of File.ReadAllLines for large files, as it does not load the entire file into memory.
  • Always handle exceptions properly to ensure your application remains stable.
  • For large files, avoid methods like ReadAllLines() which can negatively affect performance.

Final Thoughts

By limiting your reading operations to only the first few lines you actually need, you significantly enhance your application's efficiency and resource management.

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