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WebJanuary 15, 20265 min

Elasticsearch: Complete Implementation Guide

Master Elasticsearch for powerful full-text search and analytics in your applications

Ü
Ümit Uz
Mobile & Full Stack Developer

Elasticsearch is a powerful search and analytics engine. This guide covers implementing Elasticsearch for production applications.

Setup

Install Elasticsearch

bash
npm install @elastic/elasticsearch

Client Configuration

typescript
import { Client } from '@elastic/elasticsearch';

const client = new Client({
  node: process.env.ELASTICSEARCH_URL || 'http://localhost:9200',
});

Indexing Documents

Create Index

typescript
export async function createIndex(index: string) {
  await client.indices.create({
    index,
    body: {
      mappings: {
        properties: {
          title: { type: 'text' },
          description: { type: 'text' },
          timestamp: { type: 'date' },
        },
      },
    },
  });
}

Index Document

typescript
export async function indexDocument(index: string, document: any) {
  await client.index({
    index,
    id: document.id,
    body: document,
  });
}

Search Queries

typescript
export async function search(index: string, query: string) {
  const response = await client.search({
    index,
    body: {
      query: {
        multi_match: {
          query,
          fields: ['title^2', 'description'],
        },
      },
    },
  });

  return response.hits.hits;
}

Conclusion

Elasticsearch provides powerful full-text search. Use proper mappings for optimal performance. Implement aggregations for analytics.

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