Brings dynamic querying and full-text querying to CouchDB. Hybrid CouchDB/Elasticsearch engine module for Resourceful

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The goal of CouchElastic is to provide seamless full-text and parametric search to Node.js apps, accomplished via Flatiron’s Resourceful ODM layer and the awesome power of CouchDB and Elasticsearch.


Start up an empty instance of CouchDB and an empty instance of Elasticsearch, then do this:

	var resourceful = require('resourceful'),
		Couchelastic = require('resourceful-couchelastic').Couchelastic;
	resourceful.engines.Couchelastic = Couchelastic;  // patch in the engine
	resourceful.use( 'couchelastic', {
		// CouchDB settings
		host : 'localhost', // optional - defaults to localhost
		port : 5984,        // optional - defaults to 5984
		database:'db-name', // required
			// Elasticsearch settings
			index:'my-index-name'  // optional - defaults to db name

From this point onwards each Resource that you define will have its data stored in your specified CouchDB cluster and have an Elasticsearch indexing river configured to index the data for searching.

Define a resource

Assuming you’re already defining resources with Resourceful nothing more is required, but there are some additional options you might want to use. Everything specified within the is passed straight into ES’s Mapping API, allowing you fine-grained control over how that individual field is treated in the index.

	var Creature = resourceful.define('Creature', function(){
		this.string('name',{ required:true });
			required: true,        // validation rules
			minimum: 0,
				type:'integer'       // this tells ES what type of number this is
			search:{ type:'string' }
				analyzer:'snowball'  // stem words to match word stem rather than exact form.

Synchronise your schema

The sync() method sets up your data sources for you. Until you sync you can save() and get() but not much more.

For each Resource type sync does the following:

  • Saves a CouchDB design document
  • Saves an Elasticsearch Mapping document
  • Creates a River on the Elasticsearch cluster that listens to CouchDB’s replication stream

You’ll need to sync after you make any significant design changes so that they’re carried through to the schemas of both servers. Be aware that changing the data type of a field after data has already been indexed can be problematic.


Assuming you’ve defined a Creature as per the Resourceful docs you should be able to search your database in free text like this."fur",function( err, creatures, response ){
		// creatures is a convenient array of Creature objects that match the search
		// response contains the entire ES response including search results and metadata

You can also search using the Elasticsearch query DSL, for example the following fuzzy query would also match the word “oscar”{
		query : {
    		fuzzy : { text : "socar" }	
	},function( err, actors, response ){
		// actors is an array
		// response is the full response containing metadata, e.g. facets

Or using Resoureceful’s parametric query method Resourece.find()

	},function( err, creatures, response ){


If you have two data types related by a one-to-many foreign key you can do this (many-many not available yet):"name:wolf",function( err, creatures ){
		Genus.join( creatures, function( err, creatures ){
			// creatures now contains:
			//     creature.genus_id - foreign key
			//     creature.genus - linked entity


If some of your Resource data is sensitive you might want to block it from being indexed

	var Employee = resourceful.define('Employee', function(){

TODO - clean up the object search API and allow faceting etc.


	npm install resourceful-couchelastic`


All tests are written with vows and should be run with npm:

  $ npm test

Author: Richard Marr

License: Apache 2.0

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Brings dynamic querying and full-text querying to CouchDB. Hybrid CouchDB/Elasticsearch engine module for Resourceful ...

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