How to Write XML Files in C#

Slow initial load times can drive users away from your React application. One powerful technique to improve performance is lazy loading - loading components only when they're needed.

Let's explore how to implement this in React.

The Problem with Eager Loading

By default, React bundles all your components together, forcing users to download everything upfront. This makes navigation much quicker and more streamlined once this initial download is complete.

However, depending on the size of your application, it could also create a long initial load time.

import HeavyComponent from './HeavyComponent';
import AnotherHeavyComponent from './AnotherHeavyComponent';

function App() {
  return (
    <div>
      {/* These components load even if user never sees them */}
      <HeavyComponent />
      <AnotherHeavyComponent />
    </div>
  );
}

React.lazy() to the Rescue

React.lazy() lets you defer loading components until they're actually needed:

import React, { lazy, Suspense } from 'react';

// Components are now loaded only when rendered
const HeavyComponent = lazy(() => import('./HeavyComponent'));
const AnotherHeavyComponent = lazy(() => import('./AnotherHeavyComponent'));

function App() {
  return (
    <div>
      <Suspense fallback={<div>Loading...</div>}>
        <HeavyComponent />
        <AnotherHeavyComponent />
      </Suspense>
    </div>
  );
}

Route-Based Lazy Loading

Combine with React Router for even better performance:

import React, { lazy, Suspense } from 'react';
import { BrowserRouter, Routes, Route } from 'react-router-dom';

const Home = lazy(() => import('./pages/Home'));
const Dashboard = lazy(() => import('./pages/Dashboard'));
const Settings = lazy(() => import('./pages/Settings'));

function App() {
  return (
    <BrowserRouter>
      <Suspense fallback={<div>Loading...</div>}>
        <Routes>
          <Route path="/" element={<Home />} />
          <Route path="/dashboard" element={<Dashboard />} />
          <Route path="/settings" element={<Settings />} />
        </Routes>
      </Suspense>
    </BrowserRouter>
  );
}

Implement these techniques in your React application today and watch your load times improve dramatically!

Duplicate records in SQL Server can lead to inaccurate reporting, data inconsistencies, and performance issues. In this article, we’ll go over how to identify and safely remove duplicate rows while keeping at least one unique record.

Detecting Duplicates

To find duplicate records in a table, use the GROUP BY and HAVING clauses to count occurrences of each unique combination of values:

SELECT column1, column2, COUNT(*)
FROM YourTable
GROUP BY column1, column2
HAVING COUNT(*) > 1;

Replace column1, column2 with the columns that define a duplicate in your dataset.

If you need to see the actual duplicate rows, use a ROW_NUMBER() approach:

SELECT *
FROM (
    SELECT *, ROW_NUMBER() OVER (PARTITION BY column1, column2 ORDER BY id) AS row_num
    FROM YourTable
) t
WHERE row_num > 1;

Here, id should be a unique column to order the duplicates.

Removing Duplicates

Method 1: Using ROW_NUMBER()

The safest way to remove duplicates while keeping one unique record is by using ROW_NUMBER().

WITH CTE AS (
    SELECT *, ROW_NUMBER() OVER (PARTITION BY column1, column2 ORDER BY id) AS row_num
    FROM YourTable
)
DELETE FROM CTE WHERE row_num > 1;

This deletes all duplicate records while keeping the first occurrence.

Method 2: Using DISTINCT INTO a New Table

If you want to be extra cautious, create a new table with only unique records:

SELECT DISTINCT * INTO NewTable FROM YourTable;

Then, drop the old table and rename NewTable back to YourTable.

Final Thoughts

Always backup your data before running delete operations to prevent accidental data loss. By regularly cleaning up duplicates, you can keep your SQL Server database efficient and reliable.

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.