Async & Await (Under the Hood)

🎯 Async/Await = Syntactic Sugar for Promises

Async/await is built on top of promises and generators. It makes asynchronous code look synchronous while maintaining non-blocking behavior.

How Async/Await Works Internally
Compilation Steps
  1. Async function marked for transformation
  2. Function body converted to generator
  3. await becomes yield
  4. Wrapper handles promise resolution
  5. Automatic promise return
Key Components
  • Generator Functions: Pause/resume execution
  • Promise Resolution: Handles async results
  • State Machine: Tracks execution state
  • Error Propagation: Automatic try/catch

Example 1: Async/Await Internals

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🔍 Async Function Transformation
// Original async function
async function example() {
  const a = await task1();
  const b = await task2(a);
  return b + 1;
}

// Transformed to generator + promise wrapper
function example() {
  return spawn(function*() {
    const a = yield task1();
    const b = yield task2(a);
    return b + 1;
  });
}

// spawn function handles promise resolution
function spawn(genF) {
  return new Promise((resolve, reject) => {
    const gen = genF();
    
    function step(nextF) {
      try {
        var next = nextF();
      } catch(e) {
        return reject(e);
      }
      
      if(next.done) {
        return resolve(next.value);
      }
      
      Promise.resolve(next.value).then(
        v => step(() => gen.next(v)),
        e => step(() => gen.throw(e))
      );
    }
    
    step(() => gen.next());
  });
}

Example 2: Advanced Error Handling

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✅ Best Practices
  • Always use try/catch for error handling
  • Use Promise.all() for parallel independent operations
  • Avoid await in loops when possible
  • Consider using async generators for streams
  • Implement retry logic with exponential backoff
❌ Common Mistakes
  • Forgetting await keyword
  • Unhandled promise rejections
  • Sequential awaits when parallel is possible
  • Memory leaks with event listeners
  • Not cleaning up resources in finally

Example 3: Performance Optimization

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📊 Performance Comparison
PatternExecution TimeMemory UsageWhen to Use
Sequential awaitsSlow (sum of all)LowDependent operations
Promise.all()Fast (max of all)MediumIndependent operations
Async generatorsStreamingVery LowLarge datasets, streams
Mixed patternOptimalMediumComplex workflows

Example 4: Advanced Async Patterns

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Exercise: Implement Async Utilities
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🎯 Interview Questions on Async/Await
  1. How is async/await implemented using generators?
  2. What happens when you forget await in an async function?
  3. How do you handle multiple async operations in parallel?
  4. What's the difference between async/await and Promise.then()?
  5. How does error propagation work in async functions?
  6. What are async generators and when would you use them?
  7. How would you implement a rate limiter for async functions?
  8. What happens to the call stack during await?
  9. How do you cancel an async operation?
  10. What's the memory overhead of async/await vs callbacks?
💡 Key Takeaways
  • Async/await is syntactic sugar over promises + generators
  • Always use try/catch for error handling
  • Use Promise.all() for parallel independent operations
  • Async functions always return promises
  • Consider performance implications of sequential vs parallel execution
  • Implement proper cleanup in finally blocks
  • Use async generators for streaming data