fan9704/es2

ES2 Backend

Environment

PostgreSQL

pgAdmin

RabbitMQ Console

RabbitMQ

Kibana

LogStash

Elastic Search

Use Elastic Stack Software Structure

This is an initial proof of concept app of how to implement a search feature using Elasticsearch with Django and Vue.js.

Content:

1. Overview
2. Set up the working environment
3. Set up Elasticsearch & Kibana servers using Docker
4. Run Django server

1. Overview

In this web application users can add new articles by providing a title and the content of the article, and some tags if they want. They can also search for articles from the “Articles list”.

2. Set up the working environment

Use Docker-Compose to set up Environment

docker-compose up -d

After running the command above the output should look like below:

Starting elasticsearch ... done
Starting kibana        ... done
Staring RabbitMQ       ... done
Staring PostgreSQL     ... done
Staring PgAdmin        ... done
Starting LogStash      ... done

2.2 Install dependencies into an isolated environment:

pipenv install

Note: The command docker-compose up -d should be run from the root directory because that's where docker-compose script lives.

3. Run Django server

From your terminal run this command to start a local web server:

pipenv run python manage.py runserver

And in your terminal you will see an output similar to the one below:

Watching for file changes with StatReloader
Performing system checks...

System check identified no issues (0 silenced).
July 01, 2021 - 21:06:12
Django version 3.2.3, using settings 'django_elasticsearch.settings'
Starting development server at http://127.0.0.1:8000/
Quit the server with CONTROL-C.

You can copy the url http://127.0.0.1:8000/ from the output and paste it directly to your browser's search bar.

Alternatively, you can click at the link http://127.0.0.1:8000/ from the output while pressing the Command ⌘ key, and it will open a new browser tab for the web application.