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18.3 Async Patterns
Overview
Master common patterns for managing complex asynchronous operations in JavaScript applications.
Sequential vs Parallel Execution
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β Execution Patterns β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ€
β β
β SEQUENTIAL: One after another β
β βββββββ βββββββ βββββββ β
β β A ββββββΆβ B ββββββΆβ C β Total: A + B + C β
β βββββββ βββββββ βββββββ β
β ββββββββββββββββββββββββββββββββββΆ time β
β β
β PARALLEL: All at once β
β βββββββ β
β β A ββββββββββββββββββββ β
β βββββββ β β
β βββββββ ββββΆ done Total: max(A, B, C) β
β β B ββββββββββββββββββββ€ β
β βββββββ β β
β βββββββ β β
β β C ββββββββββββββββββββ β
β βββββββ β
β β
β BATCHED: Parallel with limits β
β ββββββββββ ββββββββββ βββββ β
β β A ββ B ββββββΆβ C ββ D ββββββΆβ E β Groups of N β
β ββββββββββ ββββββββββ βββββ β
β β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Common Async Patterns
| Pattern | Use Case | Implementation |
|---|---|---|
| Sequential | Order matters | for...of with await |
| Parallel | Independent tasks | Promise.all |
| Racing | First wins | Promise.race |
| Batching | Rate limiting | Chunked parallel |
| Pipeline | Data transformation | Chain of async |
| Debounce | Limit frequency | Timer reset |
| Throttle | Fixed rate | Time window |
Key Patterns
1. Sequential Processing
async function processSequential(items) {
const results = [];
for (const item of items) {
results.push(await processItem(item));
}
return results;
}
2. Parallel Processing
async function processParallel(items) {
return Promise.all(items.map(processItem));
}
3. Batched Processing
async function processBatched(items, batchSize = 3) {
const results = [];
for (let i = 0; i < items.length; i += batchSize) {
const batch = items.slice(i, i + batchSize);
const batchResults = await Promise.all(batch.map(processItem));
results.push(...batchResults);
}
return results;
}
4. Pipeline Pattern
async function pipeline(value, ...fns) {
let result = value;
for (const fn of fns) {
result = await fn(result);
}
return result;
}
Timing Patterns
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β Debounce vs Throttle β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ€
β β
β DEBOUNCE: Wait for pause β
β Events: β β β β β β β β β β β
β Calls: βΌ βΌ β
β ββββββββββββββββββββββββββββββββββββΆ β
β (waits for silence) β
β β
β THROTTLE: Fixed intervals β
β Events: β β β β β β β β β β β β β β β β
β Calls: βΌ βΌ βΌ βΌ β
β ββββββββββββββββββββββββββββββββββββΆ β
β (max once per interval) β
β β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
Summary
- β’Use sequential for dependent operations
- β’Use parallel for independent operations
- β’Use batching for rate-limited APIs
- β’Use pipelines for data transformations
- β’Use debounce for user input
- β’Use throttle for continuous events