pandadb

pandadb is a local document-oriented JSON database, ready to be implemented in an application in a simple way.

it is worth mentioning that the author of panda db was inspired by other packages to develop pandadb, such as lowdb, taffydb among others.

introduction

pandadb is a local JSON database, which uses a JSON file locally to persist the data, which is managed in a specific application, as a JSON format is used, pandadb uses MQL as a syntax to perform queries, which makes queries more intuitive and friendly to end customers.

example of an MQL query

// should return the element that has the property 'foo', with the value of 'bar'
{ "foo": "bar" }

installation

npm i --save-exact pandadb

usage

[!NOTE] If you do not pass a file name to the PandaDB instance, it will create a JSON file called 'pandadb.json' by default. `js const PandaDB = require('pandadb') const db = new PandaDB('NBA.json') //

const players = db.collection('players')

players.createMany([ { name: 'Michael Jordan', team: 'Chicago Bulls', shirtNumber: 23 }, { name: 'Lebron James', team: 'Leakers', shirtNumber: 23 }, { name: 'Kyle Irving', team: 'Celtics', shirtNumber: 11 } ]).then(() => console.log('data was created successfully'))

players.find({ shirtNumber: 11 }).then(player => console.log(here is kyle irving \n ${player}))

# API

All of the following methods listed are available when creating a collection with the 'collection()' method.

- `list` 
obtains/lists all the data of the collection in question
```js
players.list().then(console.log)

• create creates and automatically inserts an id - UUID for subsequent persistence `js const MJ = { name: 'Michael Jordan', team: 'Chicago Bulls', shirtNumber: 23 }

players.create(MJ) .then(response => console.log(response)) // { status: 'success', collection: 'players', createdItems: 1 }

- `createMany` creates/saves a data set within a collection
```js
players.createMany([
    {
        name: 'Michael Jordan',
        team: 'Chicago Bulls',
        shirtNumber: 23
    },
    {
        name: 'Lebron James',
        team: 'Leakers',
        shirtNumber: 23
    },
    {
        name: 'Kyle Irving',
        team: 'Celtics',
        shirtNumber: 11
    }
]).then(response => console.log(response)) // { status: 'success', collection: 'players', createdItems: 3 }

• find returns the first element that matches the query

  players.find({ team: 'Celtics' }).then(player => console.log('here is Kyle Irving \n', player))

• findMany will recover all the data that matches the query made

  players.findMany({ shirtNumber: 23 }).then(players => console.log('the basketball gods:', players))

• edit edit the first element that matches the query

  players.edit({ name: 'Michael Jordan' }, { retired: true })
       .then(response => console.log(response)) // { status: 'success', collection: 'players', updatedItems: 1 }

• editMany edit all the elements of a collection that match the query made

  players.editMany({ shirtNumber: 23 }, { level: 'god' })
       .then(response => console.log(response)) // { status: 'success', collection: 'players', updatedItems: 2 }

• remove removes from the collection the first element of the collection that matches the query

  players.remove({ shirtNumber: 11 })
       .then(response => console.log(response)) // { status: 'success', collection: 'players', removedItems: 1 }

• removeMany removes all elements from the collection that match the query

  players.removeMany({})
       .then(response => console.log(response)) // { status: 'success', collection: 'players', removedItems: 3 }

• destroy destroys/removes the collection from which it is called.

  [!IMPORTANT] the methods can still be accessed, but they will have no effect

  players.destroy().then(() => console.log('the players collection was eliminated'))
  players.list() // undefined

license

pandadb is under the MIT license