CamaDB is a NoSQL embedded database written in pure TypeScript for Node, Electron and browser-based environments.
I was struggling to find a solution for Electron-based projects that deal with larger datasets in the main thread.
This is still under active development and a few features are missing:
yarn add reflect-metadata
yarn add camadb
OR
npm install reflect-metadata --save
npm install camadb --save
All of these config options are optional:
path
- Where you want the data to be stored - default is ./.cama
or cama
for indexeddb and localstoragepersistenceAdapter
- How you want to persist your data - fs
, indexeddb
, localstorage
or inmemory
logLevel
- info or debugimport { Cama } from 'camadb'
const database = new Cama({
path: './.cama',
persistenceAdapter: 'fs',
logLevel: 'debug'
});
const collection = await database.initCollection('test', {
columns: [{
type:'date',
title:'date'
}],
indexes: [],
});
await collection.insertOne({
_id: 'test',
name: 'Dummy field',
description: `Data`,
});
await collection.insertMany([{
_id: 'test',
name: 'Dummy field',
description: `Data`,
}]);
CamaDB uses a MongoDB style query language, powered by SiftJS. Have a look at that project to see the full capabilities of that library.
const findResult = await collection.findMany({
_id: {
$gte: 50000,
},
},
{
sort:{
desc: x => x._id
},
offset: 100,
limit: 100
});
Again we use a MongoDB style language for data updates, for this we use obop
await collection.updateMany({
_id:3
}, {
$set: {
steve:"steve"
}
});
We use Mingo for aggregation - currently lookup commands aren't supported.
const aggregationResult = await collection.aggregate([{
$match:{
_id:3
}
}]);
Generated using TypeDoc