Prompt
Optimize performance by being selective about resource consumption - process only necessary data, avoid redundant operations, and use lightweight alternatives when possible.
Key strategies:
- Store hashes instead of full data: Rather than caching entire objects, store their hashes to reduce disk space and computation overhead
- Reduce data before processing: Filter or transform data to minimal required form before expensive operations like hashing
- Avoid redundant operations: Ensure expensive operations like hashing are performed only once and reused
- Use conditional loading: Only require/import modules when actually needed, and prefer
require.resolve()overrequire()when you don’t need to execute the module
Example:
// Instead of storing full external nodes data
const externalNodesData = getExternalNodesData(externalNodes);
writeToCache(externalNodesData); // Large disk usage
// Store hash instead
const externalNodesHash = hashObject(getExternalNodesData(externalNodes));
writeToCache(externalNodesHash); // Minimal disk usage
// Conditional require
function assertBuilderPackageIsInstalled(packageName: string): void {
try {
require.resolve(packageName); // Lighter than require(packageName)
} catch {
throw new Error(`Package ${packageName} not found`);
}
}
This approach can yield significant performance improvements - benchmarks show up to 6x speed improvements when reducing data before processing.