ElasticSearch PoC

This is a basic PoC for setting up ElasticSearch from Scratch in a machine and APIs to Insert and Retrieve data from the ES instance

Inspiration

Elasticsearch is a distributed, free and open search and analytics engine for all types of data, including textual, numerical, geospatial, structured, and unstructured. -- The ElasticSearch Team But the primary issue is that many people are unaware how this can be used in existing web applications This is a lightweight application which will store the data on ES cluster and then retrieve using ES - Python Queries

Technologies Used:

• Python Flask
• ElasticSearch
• Docker

Ensure to allocate more than 4 GB of space for docker, to ensure that the elastic cluster starts without fail

Machine:

MacOS 11

Some Useful Links:

• ES Setting up
• Docker Setup
• Python Flask

Setup

This is done using ES 7+ and Python 3.7.5

Getting started

• Steps for setting up on your machine

1. Pull the latest code from main branch
2. Create a python virtualenv
3. Install packages mentioned in requirements.txt
4. Use docker-compose up to create the ES container
5. Run flask_app.py to get started
6. api contains the python APIs for accessing ES using python