How to use the Clinet function from elasticsearch

Find comprehensive JavaScript elasticsearch.Clinet code examples handpicked from public code repositorys.

The Elasticsearch Client is a tool used to interact with an Elasticsearch cluster through the REST API.

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var moment = require('moment');
//import {compareAsc, format} from 'date-fns';


//var elasticsearch = require('elasticsearch');


//var client = new elasticsearch.Clinet({
//  host: 'https://vpc-kibanaes-7hf47ssvnzvtrlmkokag3l4adm.us-east-2.es.amazonaws.com',
//  log: 'error'
//});
const { Client } = require('elasticsearch')
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+ 11 other calls in file

How does elasticsearch.Clinet work?

The elasticsearch.Client is a class in the official Elasticsearch Node.js client library that provides a programmatic interface for communicating with an Elasticsearch cluster. It allows users to perform various CRUD (Create, Read, Update, Delete) operations on Elasticsearch indices, documents, and other data. When an instance of the client class is created, it establishes a connection to the specified Elasticsearch cluster and provides methods for executing various types of Elasticsearch queries, indexing and retrieving documents, and managing indices and other cluster metadata. The client uses the RESTful API of Elasticsearch to interact with the cluster and can be configured with various options such as authentication, timeouts, and connection pooling.

Ai Example

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const { Client } = require("@elastic/elasticsearch");

const client = new Client({ node: "http://localhost:9200" });

// Use the client to perform operations on Elasticsearch
client.ping((err, result) => {
  if (err) {
    console.error("Error connecting to Elasticsearch:", err);
  } else {
    console.log("Connected to Elasticsearch:", result);
  }
});

In this example, we're creating a new Client instance with a single option: node. This option specifies the URL of the Elasticsearch node to connect to. Once the client is created, we can use it to perform operations on Elasticsearch, such as sending queries or indexing documents. In the example, we're using the ping method to test the connection to Elasticsearch and log the result to the console. If an error occurs, we log it to the console as well.