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Optimizing and Enhancing

Last updated:

Milad Vafaeifard
Milad Vafaeifard Lead Software Engineer

Optimizing and enhancing code performance is essential for developing efficient and responsive TypeScript applications. This guide covers various techniques for improving code performance, including profiling tools, best practices, and code optimization strategies.

Profiling and Monitoring

Using Profiling Tools

Profiling tools help identify performance bottlenecks in your code.

Example:

  • Performance Panel: Use to record and analyze runtime performance.
  • Memory Panel: Track memory usage and detect leaks.

Usage:

  1. Open Chrome DevTools (F12 or right-click and select “Inspect”).
  2. Navigate to the Performance panel.
  3. Click “Record” to start profiling.
  4. Perform actions in your application.
  5. Click “Stop” to analyze the recorded performance.

Node.js Profiling Tools

For server-side applications, use Node.js profiling tools.

Example:

Terminal window
node --prof app.js
node --prof-process isolate-0x*.log > processed.txt

Code Optimization Techniques

Optimize Loops and Iterations

Reducing the complexity of loops and iterations can significantly enhance performance.

Example:

// Inefficient
for (let i = 0; i < array.length; i++) {
  process(array[i]);
}


// Efficient
for (const item of array) {
  process(item);
}

Minimize DOM Manipulation

In front-end applications, minimize direct DOM manipulation to improve performance.

Example:

// Inefficient: Multiple DOM updates
const element = document.createElement('div');
document.body.appendChild(element);
element.innerText = 'Hello, world!';


// Efficient: Using document fragments
const fragment = document.createDocumentFragment();
const element = document.createElement('div');
element.innerText = 'Hello, world!';
fragment.appendChild(element);
document.body.appendChild(fragment);

Debouncing and Throttling

Use debouncing and throttling to control the frequency of function execution, especially for event handlers.

Example:

function debounce(fn: Function, delay: number) {
  let timeoutId: number;
  return function (...args: any[]) {
    clearTimeout(timeoutId);
    timeoutId = setTimeout(() => fn(...args), delay);
  };
}


const debouncedFunction = debounce(() => {
  console.log('Debounced');
}, 300);

Lazy Loading

Defer the loading of non-critical resources until they are needed to reduce initial load times.

Example:

// Inefficient: Loading all modules at once
import { heavyModule } from './heavyModule';
heavyModule.init();


// Efficient: Lazy loading the module
import('./heavyModule').then((module) => {
  module.init();
});

Caching

Cache results of expensive operations to avoid redundant computations.

Example:

const cache: { [key: string]: number } = {};


function expensiveOperation(key: string): number {
  if (cache[key] !== undefined) {
    return cache[key];
  }
  const result = performExpensiveCalculation(key);
  cache[key] = result;
  return result;
}

Conclusion

Optimizing and enhancing code performance involves a combination of profiling, best practices, and specific code optimization techniques. By using tools like Chrome DevTools and Node.js profilers, minimizing unnecessary computations, optimizing data structures, and implementing strategies like lazy loading, caching, and code splitting, developers can create high-performance TypeScript applications that are both efficient and scalable.

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