#46 Golang - Full-Text Search with Elasticsearch with Golang

Hello, and welcome to this episode on integrating Elasticsearch with Golang! In this video, I'll walk you through using Elasticsearch to add powerful full-text search functionality to your Golang application.

What You'll Learn:
- Setting up an Elasticsearch client in a Golang application
- Creating an index for storing documents
- Adding documents to the index using an API
- Implementing a full-text search on indexed documents
- Handling search queries and displaying results

Why Elasticsearch?
Elasticsearch is a powerful, full-text search engine built on top of Apache Lucene. It's widely used for its scalability and real-time search capabilities. With Elasticsearch, you can handle large volumes of data and execute complex queries quickly.

Steps Covered in This Tutorial:
1. Setting Up Elasticsearch Client: How to set up and configure an Elasticsearch client in a Golang application using the official Go Elasticsearch client package.
2. Creating and Managing Indexes: Steps to create an index for storing documents and checking if an index exists.
3. Indexing Documents: How to add documents to the Elasticsearch index through a simple API.
4. Implementing Search Functionality: Adding a search form to your application, handling search queries, and displaying search results.

📚 Resources:

Timestamps:

00:00 - Introduction
00:44 - Setting Up Elasticsearch Client and Creating an Index
03:30 - Indexing Documents
06:41 - Implementing Search Functionality
10:46 - Testing the Search Feature
11:12 - Conclusion

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💬 Have questions or suggestions? Drop them in the comments below!

Thanks for watching, and happy coding!

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[jonu.]

If we are already storing full blog document in elastic search then why we need to fetch from database again? 10:18

[longdashes]

Ehm. Is this user input sanitized in any way? I smell something bad.