Asynchronous programming is essential for building responsive applications, but it comes with challenges - particularly when you need to cancel operations.
Here's how to safely implement cancellation in C#.
The key to proper cancellation is the CancellationTokenSource class. This provides a token that can be passed to async methods and monitored for cancellation requests.
CancellationTokenSource
// Create a cancellation source with timeout var cts = new CancellationTokenSource(TimeSpan.FromSeconds(10)); var token = cts.Token; try { // Pass token to async operations await DoLongRunningTaskAsync(token); } catch (OperationCanceledException) { // Handle cancellation gracefully Console.WriteLine("Operation was canceled"); } finally { // Always dispose the CancellationTokenSource cts.Dispose(); }
When writing cancellable async methods, check for cancellation at appropriate points:
async Task DoLongRunningTaskAsync(CancellationToken token) { // Check before starting expensive work token.ThrowIfCancellationRequested(); for (int i = 0; i < 100; i++) { // Periodically check during loops if (token.IsCancellationRequested) { // Clean up resources if needed CleanupResources(); // Then throw the standard exception throw new OperationCanceledException(token); } await Task.Delay(100, token); // Built-in methods accept tokens } }
token.ThrowIfCancellationRequested()
OperationCanceledException
By following these patterns, you can ensure your async operations respond promptly to cancellation requests while maintaining clean, resource-efficient code.
In C#, you can format an integer with commas (thousands separator) using ToString with a format specifier.
int number = 1234567; string formattedNumber = number.ToString("N0"); // "1,234,567" Console.WriteLine(formattedNumber);
Explanation:
"N0": The "N" format specifier stands for Number, and "0" means no decimal places. The output depends on the culture settings, so in regions where , is the decimal separator, you might get 1.234.567.
Alternative:
You can also specify culture explicitly if you need a specific format:
using System.Globalization; int number = 1234567; string formattedNumber = number.ToString("N0", CultureInfo.InvariantCulture); Console.WriteLine(formattedNumber); // "1,234,567"
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.
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.
To count the number of unique values in a column, SQL Server provides the COUNT(DISTINCT column_name) function. Here’s a simple example:
COUNT(DISTINCT column_name)
SELECT COUNT(DISTINCT column_name) AS distinct_count FROM table_name;
This query will return the number of unique values in column_name.
column_name
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.
column1
column2
By leveraging COUNT(DISTINCT column_name), you can efficiently analyze your database and extract meaningful insights. Happy querying!
Register for my free weekly newsletter.