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

@elastic/elasticsearch-serverless

v0.3.0

Published

The official Node.js Elastic client for the Elasticsearch Serverless service.

Downloads

655

Readme

Elasticsearch Serverless Client

main

This is the official Node.js Elastic client for the Elasticsearch Serverless service. If you're looking to develop your Node.js application with the Elasticsearch Stack, you should look at the Elasticsearch Client instead. If you're looking to develop your Node.js application with Elastic Enterprise Search, you should look at the Enterprise Search Client.

Installation

Install via npm:

npm install @elastic/elasticsearch-serverless

Instantiate a Client

const { Client } = require('@elastic/elasticsearch-serverless')
const client = new Client({
  node: 'https://', // serverless project URL
  auth: { apiKey: 'your_api_key' }, // project API key
})

Using the API

Once you've instantiated a client with your API key and Elasticsearch endpoint, you can start ingesting documents into Elasticsearch Service. You can use the Bulk API for this. This API allows you to index, update and delete several documents in one request. You call the bulk API on the client with a body parameter, an Array of hashes that define the action and a document. Here's an example of indexing some classic books into the books index:

// First we build our data:
const body = [
  {name: "Snow Crash", "author": "Neal Stephenson", "release_date": "1992-06-01", "page_count": 470},
  {name: "Revelation Space", "author": "Alastair Reynolds", "release_date": "2000-03-15", "page_count": 585},
  {name: "1984", "author": "George Orwell", "release_date": "1985-06-01", "page_count": 328},
  {name: "Fahrenheit 451", "author": "Ray Bradbury", "release_date": "1953-10-15", "page_count": 227},
  {name: "Brave New World", "author": "Aldous Huxley", "release_date": "1932-06-01", "page_count": 268},
  {name: "The Handmaid's Tale", "author": "Margaret Atwood", "release_date": "1985-06-01", "page_count": 311}
]

// Then we send the data using the bulk API helper:
const result = await client.helpers.bulk({
  datasource: body,
  onDocument (doc) {
    // instructs the bulk indexer to add each item in `body` to the books index
    // you can optionally inspect each `doc` object to alter what action is performed per document
    return {
      index: { _index: 'books' }
    }
  }
})

Now that some data is available, you can search your documents using the Search API:

const result = await client.search({
  index: 'books',
  query: {
    match: {
      author: 'Ray Bradbury'
    }
  }
})
console.log(result.hits.hits)

Development

See CONTRIBUTING.

Docs

Some questions, assumptions and general notes about this project can be found in the docs directory.