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For production, you may custom-build a container with MongoDB’s enterprise version.

There is an official image available on Docker Hub containing the MongoDB community edition, used in development environments. MongoDB can be run in a Docker container. You can also leave fields empty in situations where a lot of data is missing. You can just input the data, and new fields will be created.

NoSQL databases are useful for storing such data. In the real world, much data is unstructured-it doesn’t follow a specific schema. It uses a JSON-like storage model and doesn’t require a predefined database schema. MongoDB is a NoSQL database service with seamless performance and options for scaling. Thanks to Docker’s lightweight runtime and ability to run processes in isolation, multiple containers can run at the same time on the same VM or server. These containers can be run on any machine, as well as in a public or private cloud. So, this is the basics to connect with Mongodb.Docker is a powerful development platform that enables users to containerize software. Therefore, the main guys are the app.config = 'MyDaTaBaSe' that you will need to tell which database you want to use and the app.config that you will need to set up your connection and link in which you will need to place your username and your password as well as the name of the database at the end. So, in Mongodb create a database and then after your database is created within it create a collection or just add it from your function.Īfter it is done setup your work environment: import osįrom flask import Flask, render_template, redirect, request, url_for, sessionįrom flask_pymongo import PyMongo = index():.So, since you will use Mongodb to work in your project you will have to install Pymongo.Īfter that, you will need to set up your DB in MongoDB: Since flask is a lighter framework you will need to install different packages to use according to your need.

There are a few steps that you have to follow. _refs=None, save_condition=None, signal_kwargs=None, **kwargs): Write_concern=None, cascade=None, cascade_kwargs=None, Using python 3.6 + and flask 1.1.1 + ( Tested with Python 3.7+ also )Ĭonfiguration-file.cfg MONGODB_SETTINGS = # your db name where you want to create the table(Dcoument) User is your Document(Table) nameĭef save(self, force_insert=False, validate=True, clean=True, I am providing the solution using flask_mongoengine. I Found Using mongoengine Creating the Models are easier. both uses pymongo as the base libraries so the methods nd class available pymongo can be easily inherited while using any of the module (flask_pymongo and flask_mongoengine). There are multiple ways of using MongoDB with Flask - Flask_pymongo & flask_mongoengine are two python modules that can be used to for easy integration with mongoDB.