@0bdx/mongoish

@0bdx/mongoish

An in-memory database client, based on picodb.

∅  Version: 0.0.2
∅  NPM: https://www.npmjs.com/package/@0bdx/mongoish
∅  Repo: https://github.com/0bdx/mongoish
∅  Homepage: https://0bdx.com/mongoish

As far as the basics go, MongoishClient behaves like MongoClient from the NPM package mongodb. But instead of connecting to a MongoDB server, it uses the in-memory database picodb.

Using a real MongoDB:
const client = new MongoClient("mongodb://localhost:27017");

Using a Mongoish:
const client = new MongoishClient("mongodb://localhost:27017");

Examples

Example scripts can be found in the 'examples/' directory.

You can run Example 1, for example, using:
node examples/example-1.js

Example 1

import PicoDB from 'picodb';
import { MongoishClient } from '../mongoish.js';

// Instantiate a client. The `url` argument is just a placeholder - but may
// be useful if you to switch between `MongoishClient` and `MongoClient`.
const mongoishClient = new MongoishClient('mongodb://localhost');

// Inject a MongoDB-like in-memory database into `MongoishClient`.
mongoishClient.injectEngine(PicoDB);

// Connecting to an in-memory database is not actually necessary. But again,
// useful if you end up swapping-out `MongoishClient` for `MongoClient`.
await mongoishClient.connect();

// Create a new database and a new collection.
// Everything from this point onwards is identical to MongoDB.
const animalsFactsDb = mongoishClient.db('animals_facts_db');
const frogFacts = animalsFactsDb.collection('frog_facts');

// Insert some fun frog facts.
await frogFacts.insertMany([
    { _id:'0', fact:'There are over 7000 frog and toad species.' },
    { _id:'1', fact:'Some leap 20 times their body length.' },
    { _id:'2', fact:'The study of frogs is called Herpetology.' },
]);

// Log the two documents whose `fact` begins with the letter "T".
// [ { _id:'0', fact:'There are over 7000 frog and toad species.' },
//   { _id:'2', fact:'The study of frogs is called Herpetology.' } ]
console.log(
    await frogFacts.find({ fact:{ $gte:'T', $lt:'U' } }).toArray());