Hyeseong Kim cometkim

JavaScript LRU library benchmark

There are too many LRU(Least Recently Used) implementations in JS.

I recommend to use [flru] which is the smallest one and fast enough. Unless you need more rich functionality.

However, it's performance is vary depend on the host environment. For example, flru loses on Bun.

If you need micro-optimization on it, measure it yourself in your environment.

보건의료빅데이터개방시스템(opendata.hira.or.kr) 공공데이터 상세 페이지 첨부파일 일괄 다운로드 스크립트

Usage

bun install

PAGE="https://opendata.hira.or.kr/op/opc/selectOpenData.do?sno=11925&publDataTpCd=&searchCnd=&searchWrd=%EC%A0%84%EA%B5%AD&pageIndex=1"
bun download-hira.ts "$PAGE"

# Cargo binstall
# https://github.com/cargo-bins/cargo-binstall?tab=readme-ov-file#telemetry-collection
export BINSTALL_DISABLE_TELEMETRY=true

# Go Telemetry (not opt-in by default)
# https://go.dev/doc/telemetry
export GOTELEMETRY=off

# GatsbyJS

	import * as http from 'node:http';
	import { Readable } from 'node:stream';
	import { setInterval } from 'node:timers/promises';

	async function* chunksWhile(ms) {
	let count = 0;
	for await (const startTime of setInterval(1000, Date.now())) {
	yield `<div>Looking for your cat... (n=${++count})</div>`;
	if (Date.now() - startTime > ms) {
	return;

	export function encode(value) {
	const long = BigInt(value);
	const result = [];

	let shift = 0n;
	while (true) {
	const number = Number(BigInt.asUintN(7, long >> shift));
	if (number) {
	result.push(number);
	shift += 7n;