feathers-nedb

Create an NeDB Service for FeatherJS.

Installation

npm install feathers-nedb --save

Getting Started

Creating an NeDB service is this simple:

var nedb = require('feathers-nedb');
app.use('todos', nedb('todos', options));

This will create a todos datastore file in the db-data directory and automatically load it. If you delete that file, the data will be deleted.

Complete Example

Here's an example of a Feathers server with a todos nedb-service.

// server.js
var feathers = require('feathers'),
  bodyParser = require('body-parser'),
  nedb = require('feathers-nedb');

// Create a feathers instance.
var app = feathers()
  // Setup the public folder.
  .use(feathers.static(__dirname + '/public'))
  // Enable Socket.io
  .configure(feathers.socketio())
  // Enable REST services
  .configure(feathers.rest())
  // Turn on JSON parser for REST services
  .use(bodyParser.json())
  // Turn on URL-encoded parser for REST services
  .use(bodyParser.urlencoded({extended: true}))

// Connect to the db, create and register a Feathers service.
app.use('todos', nedb('todos'));

// Start the server.
var port = 8080;
app.listen(port, function() {
  console.log('Feathers server listening on port ' + port);
});

You can run this example by using node examples/basic and going to localhost:8080/todos. You should see an empty array. That's because you don't have any Todos yet but you now have full CRUD for your new todos service, including mongoose validations!

Extending

You can also extend any of the feathers services to do something custom.

var feathers = require('feathers');
var nedb = require('feathers-nedb');
var app = feathers();

var myUserService = nedb('users').extend({
  find: function(params, cb){
    // Do something awesome!

    console.log('I am extending the find method');

    this._super.apply(this, arguments);
  }
});

app.configure(feathers.rest())
   .use('/users', myUserService)
   .listen(8080);

With hooks

Another option is to weave functionality into your existing services using feathers-hooks, for example the above createdAt and updatedAt functionality:

var feathers = require('feathers');
var hooks = require('feathers-hooks');
var nedb = require('feathers-nedb');

// Initialize a MongoDB service with the users collection on a local MongoDB instance
var app = feathers()
  .configure(hooks())
  .use('/users', nedb('users'));

app.lookup('users').before({
  create: function(hook, next) {
    hook.data.createdAt = new Date();
    next();
  },

  update: function(hook, next) {
    hook.data.updatedAt = new Date();
    next();
  }
});

app.listen(8080);

Options

The following options can be passed when creating a new NeDB service:

• path - the location of the database file. By default your database will be created inside of ./db-data.

Query Parameters

The find API allows the use of $limit, $skip, $sort, and $select in the query. These special parameters can be passed directly inside the query object:

// Find all recipes that include salt, limit to 10, only include name field.
{"ingredients":"salt", "$limit":10, "$select": { "name" :1 } } // JSON

GET /?ingredients=salt&$limit=10&$select[name]=1 // HTTP

As a result of allowing these to be put directly into the query string, you won't want to use $limit, $skip, $sort, or $select as the name of fields in your document schema.

$limit

$limit will return only the number of results you specify:

// Retrieves the first two records found where age is 37.
query: {
  age: 37,
  $limit: 2
}

$skip

$skip will skip the specified number of results:

// Retrieves all except the first two records found where age is 37.
query: {
  age: 37,
  $skip: 2
}

$sort

$sort will sort based on the object you provide:

// Retrieves all where age is 37, sorted ascending alphabetically by name.
query: {
  age: 37,
  $sort: { name: 1 }
}

// Retrieves all where age is 37, sorted descending alphabetically by name.
query: {
  age: 37,
  $sort: { name: -1}
}

$select

$select support in a query allows you to pick which fields to include or exclude in the results.

// Only retrieve name.
query: {
  name: 'Alice',
  $select: {'name': 1}
}

// Retrieve everything except age.
query: {
  name: 'Alice',
  $select: {'age': 0}
}

Filter criteria

In addition to sorting and pagination, properties can also be filtered by criteria. Standard criteria can just be added to the query. For example, the following find all users with the name Alice:

query: {
  name: 'Alice'
}

Additionally, the following advanced criteria are supported for each property.

$in, $nin

Find all records where the property does ($in) or does not ($nin) contain the given values. For example, the following query finds every user with the name of Alice or Bob:

query: {
  name: {
    $in: ['Alice', 'Bob']
  }
}

$lt, $lte

Find all records where the value is less ($lt) or less and equal ($lte) to a given value. The following query retrieves all users 25 or younger:

query: {
  age: {
    $lte: 25
  }
}

$gt, $gte

Find all records where the value is more ($gt) or more and equal ($gte) to a given value. The following query retrieves all users older than 25:

query: {
  age: {
    $gt: 25
  }
}

$ne

Find all records that do not contain the given property value, for example anybody not age 25:

query: {
  age: {
    $ne: 25
  }
}

$or

Find all records that match any of the given objects. For example, find all users name Bob or Alice:

query: {
  $or: [
    { name: 'Alice' },
    { name: 'Bob' }
  ]
}

Changelog

1.2.0

• Migration to shared service test suite (#4)

1.0.0

• First final release

0.1.1

• Minor license and documentation updates

0.1.0

• Initial release.

License

Copyright (c) 2015

Licensed under the MIT license.

Author

Marshall Thompson