异步流控制的性能优化机会
作者: jdmiranda创建于 2025年10月5日更新于 2025年10月7日
1. Iterator State Caching in Collection Methods
Current Issue:
Methods like map(), filter(), each(), etc. create iterator state objects on every invocation, leading to repeated allocations.
Optimization:
Implement object pooling for iterator state to reuse state objects across invocations.
Code Example:
// Current approach (simplified)
function map(coll, iteratee, callback) {
const state = {
results: isArrayLike(coll) ? [] : {},
completed: 0,
total: 0
};
// ... process collection
}
// Optimized approach
const statePool = [];
function getState() {
return statePool.pop() || { results: null, completed: 0, total: 0 };
}
function releaseState(state) {
state.results = null;
state.completed = 0;
state.total = 0;
if (statePool.length < 100) statePool.push(state);
}Expected Impact:
- 15-25% reduction in allocations for high-frequency map/filter operations
- Reduced GC pressure in data transformation pipelines
内容来源: caolan/async