npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

unimodel-elasticsearch

v1.0.9

Published

Unimodel module for ElasticSearch

Downloads

11

Readme

unimodel-elasticsearch

Unimodel library for ElasticSearch.

Installation

$ npm install --save unimodel-elasticsearch

Basic Usage

In this section, we will walk through basic usage for the library.

Initiate the default connection to elasticsearch:

let es = require('unimodel-elasticsearch');
es.connect('http://localhost:9200', {
  'warehouse_*': { // index settings for any index matching warehouse_*
    shards: 16,
    replicas: 4
  }
});

Create an ElasticsearchModel:

let Animal = es.createModel(
  'Animal', // type name
  { // common-schema specification
    animalId: { type: String, index: true, id: true },
    name: { type: String, index: true }
  },
  'warehouse_animals' // index to store this type in
);

Register the ElasticsearchModel with the default model registry:

es.model('Animal', Animal);

Use the model registry for CRUD operations on the model:

let Animal = es.model('Animal');
let animal = Animal.create({ animalId: 'dog-charles-barkley', name: 'Charles Barkley' });
animal.save().then(() => {/* after save! */});

Components

For more information on each of these components, see the generated docs.

ElasticsearchConnection

Connection is a wrapper around an Elasticsearch Client, which ensures a connection is established before allowing operations against the Elasticsearch server.

ElasticsearchIndexManager

The Index Manager is responsible for storing the index configuration, and instantiating new Indexes when they are requrested by a Model.
An ElasticsearchIndexManager should not be directly instantiated, but instead should be created along with a connection.

ElasticsearchIndex

An ElasticsearchIndex is responsible for creating, updating, and storing information about an ElasticSearch Index.
An ElasticsearchIndex should nto be directly instantiated, but should instead be created by an ElasticsearchIndexManager.

ElasticsearchModel

An ElasticserachModel is analogous to a Type in ElasticSearch's langauge. It is responsible for registering a mapping with the ElasticsearchIndex, and creating/performing bulk operations on ElasticsearchDocuments.

ElasticsearchDocument

An ElasticsearchDocument directly cooresponds to a Document in ElasticSearch. It is responsible for saving and removing itself from ElasticSearch.

Testing

You must have a running elasticsearch instance running on http://localhost:9200 to run tests.
Once you have that, simply run:

$ npm test