openfaas-templates VS MongoDB

A custom NodeJS OpenFaaS template that uses MongoDB and Mongoose to manage the data models

MongoDB (Mongoose)

Databases Backend developers use databases like MySQL, PostgreSQL, MongoDB (NoSQL), or Redis (an in-memory database) to store and manage data. It is important for persistent data storage and retrieval in web applications.

MongoDB{:target="_blank"} is a document-oriented database with high scalability and flexibility for handling unstructured or semi-structured data. It offers rich querying capabilities, indexing options, and support for distributed data storage with a technique called “sharding”.

NoSQL databases are non-relational databases with flexible schema designed for high performance at a massive scale. Unlike traditional relational databases, which use tables and predefined schemas, NoSQL databases use a variety of data models. There are 4 main types of NoSQL databases - document, graph, key-value, and column-oriented databases. NoSQL databases generally are well-suited for unstructured data, large-scale applications, and agile development processes. The most popular examples of NoSQL databases are MongoDB (document), Memgraph (graph), Redis (key-value store) and Apache HBase (column-oriented).

Our example application will be based on the ME*N stack where M is a MongoDB (but it could be MySQL, or any other) database. E is for Express, which is a backend framework that sits on top of Node.JS. There are others but Express is extremely common and will meet our needs well. N is for the JavaScript runtime Node.js but Deno and Bun are possible alternatives. Finally the * is for the frontend framework such as Angular (MEAN), React (MERN) or Vue (MEVN), to name a few. However, in our example we will not be using a framework (to keep it agnostic and besides it is not that complicated), instead we will be using the native web technologies (HTML, CSS and JS).

MongoDB is a highly scalable document-type database. Its flexible schema approach allows developers to adapt and modify the data structure as needed, providing agility in application development.

MongoDB is an open-source, document-oriented database, meaning it stores data in a semi-structured format similar to JSON (JavaScript Object Notation), known as BSON (Binary JSON).

Can anybody help me fix this issue? Note that in order to run this project you have to set the MONGODB_URI, MONGODB_URI_LOCAL, and SESSION_SECRET environment variables. The SESSION_SECRET is just a bunch of random letters (26 to be exact) and for MONGODB_URI and MONGODB_URI_LOCAL I set them to my free MongoDB database I created at https://www.mongodb.com/ . MONGODB_URI and MONGODB_URI_LOCAL end up looking like "mongodb+srv://MongoDBUsername:[email protected]/test" where MongoDBUsername is the MongoDB username and MongoDBPassword is the MongoDB password.

For my side project I get and use a little bit of free managed MongoDB storage at https://www.mongodb.com/

MongoDB Cloud