FULL-TEXT SEARCH APP USING DOCKER AND ELASTICSEARCH

Aim of this project was to demonstrate how fast is searching text using elasticsearch as database.

Elasticsearch uses a data structure called an inverted index, which is designed to allow very fast full-text searches. An inverted index lists every unique word that appears in any document and identifies all of the documents each word occurs in.

During the indexing process, Elasticsearch stores documents and builds an inverted index to make the document data searchable in near real-time. Indexing is initiated with the index API, through which you can add or update a JSON document in a specific index.

You can view live demo of project at

https://search.ibrijesh.me

Architecture

If you want to run or play with this project on your system , follow the below steps.

Requirements

• git
• docker
• docker-compose

Steps 1

git clone https://github.com/ibrijesh/stackoverflow-questions-search-using-elasticsearch

Step 2

• open the folder stackoverflow-questions-search-using-elasticsearch

cd stackoverflow-questions-search-using-elasticsearch

Step 3

• Run the commad

docker-compose up -d --build  

• wait for few minutes

Step 4

• go to your favourite browser and type

http://localhost:8080 

❌ How to Avoid Common Error

• Make sure that no other process is already running on ports 8080 , 8000 ,5000 ,9200 ,9300