The controldb from firatkiral

controldb's Introduction

Projects:

KodiBot - Open source local AI chat assistant app for Desktop

PyPeek - Open source screen capture and recording tool with annotations

collobox.com - File sharing and collaboration platform

instantrig.com - 3D auto rigging script for 3DS Max

spacedrop.app - Peer-to-peer file and text exchanging web application

pysketch.com - Online python editor for creative coding in HTML5

ControlDB - Javascript document oriented database (Fork of LokiJS).

instantui.com - Lightweight JavaScript UI widgets (wip)

deform3d.com - Online 3d editor (wip)

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controldb's Issues

Map/bucket index

I'm doing searches on a field that is mostly (but not strictly) unique, and I'm trying to find a way to do map/bucket-based search shortcuts for some searches that now happen with binary indexes. Is this something that would be interesting for controldb? Given this content of mock.json, I'm getting a an order of magnitude speedup for searches even with fairly large buckets.

var Benchmark = require('benchmark');
const controldb = require('controldb')

const items = require('./mock.json')

const map = new Map
for (const item of items) {
  if (Math.random() > 0.05) item.firstname = '29686947-c999-456b-b15e-1710114088f2'
  map.set(item.firstname, [ ...(map.get(item.firstname) || []), item ])
}

const DB = new controldb('better-bibtex', {})
const coll = DB.addCollection('x', {
  indices: [ 'id', 'firstname' ],
  unique: [ 'id' ],
})
coll.insert(items)

var suite = new Benchmark.Suite;

suite
  .add('controldb', function() {
    if (coll.find({ $and: [ { firstname: '29686947-c999-456b-b15e-1710114088f2' }, { id: 15000 } ] }).docs().length  !== 1) throw new Error('failed')
  })
  .add('map', function() {
    if (map.get('29686947-c999-456b-b15e-1710114088f2').filter(item => item.id === 15000).length !== 1) throw new Error('failed')
  })
  .on('cycle', function(event) { console.log(String(event.target)) })
  .on('complete', function() {
    console.log('Fastest is ' + this.filter('fastest').map('name'));
  })
  .run({ async: false });