@elastic/elasticsearch-serverless NPM

Elasticsearch Serverless Client

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)