npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

furnace-sql

v0.0.2

Published

a wrapper around bun:sqlite to let you crunch data in your local

Downloads

10

Readme

furnace-sql

furnace-sql is a typescript library for bun that makes it easy to load your data from csv and parquet files into a SQLite database and run queries on top of it.

Currently under development.

What’s This Good For?

  • Crunching data on your local machine that’s in csv or parquet.
  • Crunching data in the cloud via a cheap temporal compute like AWS Fargate
  • Extremely fast with small data (1 million rows is small in this context)
  • Ok with medium sized data (e.g crunch 8GB on AWS Fargate for $0.027)

Example

import { executeTransformation } from "furnace-sql/dist/src/index";

const t = await executeTransformation<MyType>(
  {
    transformationScript: "SELECT SUM(amount) FROM transactions;",
    tables: [
      {
        name: "transactions",
        schema: [
          { key: "id", type: "TEXT" },
          { key: "date", type: "TEXT" },
          { key: "amount", type: "INTEGER" },
        ],
        // you can add multiple files to the same table!
        files: [
          {
            type: "csv",
            path: `data/t1.csv`,
          },
          {
            type: "csv",
            path: `data/t2.csv`,
          },
        ],
      },
    ],
  },
  { debug: true },
);

console.log(t.result);

await t.db.query("…next query");
// or t.db.close() if you’re done

What’s Left Before Stable Launch?

  • More options to customize reading of csv and parquet files (pass-through to csv-parser and parquetjs)
  • Benchmark and come up with better heuristic around serial vs parallel file processing.
  • Optimize data loading/inserts
  • More control over db schema
  • Explore support for streaming files from S3, Azure, Vercel, etc.