Huge News!Announcing our $40M Series B led by Abstract Ventures.Learn More
Socket
Sign inDemoInstall
Socket

@elastic/elasticsearch-serverless

Package Overview
Dependencies
Maintainers
0
Versions
10
Alerts
File Explorer

Advanced tools

Socket logo

Install Socket

Detect and block malicious and high-risk dependencies

Install

@elastic/elasticsearch-serverless

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

  • 0.9.0
  • latest
  • Source
  • npm
  • Socket score

Version published
Maintainers
0
Created
Source

Elastic logo

Elasticsearch Serverless Client

main

This is the official Node.js Elastic client for the Elasticsearch Cloud 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 general notes about this project can be found in the docs directory.

Keywords

FAQs

Package last updated on 02 Dec 2024

Did you know?

Socket

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts

SocketSocket SOC 2 Logo

Product

  • Package Alerts
  • Integrations
  • Docs
  • Pricing
  • FAQ
  • Roadmap
  • Changelog

Packages

npm

Stay in touch

Get open source security insights delivered straight into your inbox.


  • Terms
  • Privacy
  • Security

Made with ⚡️ by Socket Inc