Use appropriate iteration techniques in performance-critical code paths to minimize overhead and maximize execution speed: 1. **Use raw for loops with early termination** instead of array methods like `map` and `filter` for maximum performance:
Use appropriate iteration techniques in performance-critical code paths to minimize overhead and maximize execution speed:
map and filter for maximum performance:// Less performant
return methods
.map(methodKey => this.exploreMethodMetadata(instance, instancePrototype, methodKey))
.filter(route => route !== undefined);
// More performant
const routes = [];
for (const methodKey of methods) {
const route = this.exploreMethodMetadata(instance, instancePrototype, methodKey);
if (!route) continue;
routes.push(route);
}
return routes;
Consider reduce as a middle ground between readability and performance when appropriate.
Move invariant calculations outside loops and callbacks to prevent redundant executions:
// Less performant
function callback() {
const isTreeDurable = wrapper.isDependencyTreeDurable(); // Executed on each call
// ...
}
// More performant
const isTreeDurable = wrapper.isDependencyTreeDurable(); // Executed once
function callback() {
// ...
}
// Less performant (processes all items)
return this.getAll(metadataKey, targets).find(item => item !== undefined);
// More performant (stops at first match)
for (const target of targets) {
const result = this.get(metadataKey, target);
if (result !== undefined) {
return result;
}
}
return undefined;
For critical code paths, benchmark different approaches with realistic data volumes to confirm performance benefits before sacrificing readability.
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