Choose methods and patterns that reduce unnecessary memory allocations and object creation to improve performance. When working with buffers, prefer direct methods like `Buffer.byteLength()` over approaches that create intermediate objects:
Choose methods and patterns that reduce unnecessary memory allocations and object creation to improve performance. When working with buffers, prefer direct methods like Buffer.byteLength() over approaches that create intermediate objects:
// Less efficient - creates an unnecessary buffer object in memory
const size = Buffer.from(chunk.code).length;
// More efficient - calculates the byte length directly
const size = Buffer.byteLength(chunk.code);
When handling object operations, avoid deep cloning when only specific properties are needed. Use targeted cloning strategies based on the actual requirements:
// Less efficient - may clone objects unnecessarily
function deepClone<T>(value: T): T {
if (Array.isArray(value)) {
return value.map((v) => deepClone(v)) as T;
}
if (isObject(value)) {
const cloned: Record<string, any> = {};
for (const key in value) {
cloned[key] = deepClone(value[key]);
}
return cloned as T;
}
// Only use structuredClone for complex types that need it
if (value instanceof RegExp) {
return structuredClone(value);
}
return value as T;
}
Be mindful of expensive operations like structuredClone() which can significantly impact performance on basic primitives. Consider using specialized handling for different data types to optimize memory usage and processing time.
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