Code Monkey home page Code Monkey logo

ibrijesh / full-text-search-app-using-docker-and-elasticsearch Goto Github PK

View Code? Open in Web Editor NEW
1.0 2.0 0.0 121 KB

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

Home Page: https://search.ibrijesh.me

Dockerfile 1.10% Shell 0.47% SCSS 33.67% JavaScript 17.65% HTML 20.68% Python 26.41%
docker docker-compose nginx vuejs flask keyword-search javascript scss css3 html5 search-engine elasticsearch search shell-script python3 containerization

full-text-search-app-using-docker-and-elasticsearch's Introduction

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


stack



Architecture


stackoverflow



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 


โŒ How to Avoid Common Error

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

full-text-search-app-using-docker-and-elasticsearch's People

Contributors

ibrijesh avatar

Stargazers

 avatar

Watchers

 avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.