Tag: nosql

Joining Collections in MongoDB with .NET Core and an Aggregation Pipeline

March 2, 2022 Nic Raboy

If you've been keeping up with my .NET Core series on MongoDB, you'll remember that we explored creating a simple console application as well as building a RESTful API with basic CRUD support. In both examples, we used basic filters when interacting with MongoDB from our applications.

But what if we need to do something a bit more complex, like join data from two different MongoDB collections?

In this tutorial, we're going to take a look at aggregation pipelines and some of the ways that you can work with them in a .NET Core application.

Create a RESTful API with .NET Core and MongoDB

February 23, 2022 Nic Raboy

If you've been keeping up with my development content, you'll remember that I recently wrote Build Your First .NET Core Application with MongoDB Atlas, which focused on building a console application that integrated with MongoDB. While there is a fit for MongoDB in console applications, many developers are going to find it more valuable in web applications.

In this tutorial, we're going to expand upon the previous and create a RESTful API with endpoints that perform basic create, read, update, and delete (CRUD) operations against MongoDB Atlas.

Build Your First .NET Core Application with MongoDB Atlas

February 9, 2022 Nic Raboy

So you're a .NET Core developer or you're trying to become one and you'd like to get a database included into the mix. MongoDB is a great choice and is quite easy to get started with for your .NET Core projects.

In this tutorial, we're going to explore simple CRUD operations in a .NET Core application, something that will make you feel comfortable in no time!

Implement Full-Text Search over a GraphQL API in MongoDB Atlas

December 16, 2021 Nic Raboy

GraphQL can be an extremely powerful and efficient way to create APIs and MongoDB Realm makes it easy by allowing you to connect your collections to GraphQL schemas without writing a single line of code. I wrote about some of the basics behind configuring MongoDB and Realm for GraphQL in an announcement tutorial a while back.

As you find yourself needing to do more advanced things with GraphQL, you're going to need to familiarize yourself with custom resolvers. If you can't map collection fields to a schema from within Realm and you need to write custom logic using a serverless function instead, this is where the custom resolvers come into play. Take the example of needing to use an aggregation pipeline within MongoDB. The complex logic that you add to your aggregation pipeline isn't something you can map. The good news is that you don't need to abandon MongoDB Realm for these scenarios, but you can leverage Realm's custom resolvers instead.

In this tutorial we're going to see how to create a custom resolver that implements Atlas Search for our GraphQL API using Realm Functions, enabling you to add fast, relevant full-text search to your applications.

Building a Space Shooter Game that Syncs with Unity and MongoDB Realm

August 25, 2021 Nic Raboy

When developing a game, in most circumstances you're going to need to store some kind of data. It could be the score, it could be player inventory, it could be where they are located on a map. The possibilities are endless and it's more heavily dependent on the type of game.

Need to sync that data between devices and your remote infrastructure? That is a whole different scenario.

If you managed to catch MongoDB .Live 2021, you'll be familiar that the first stable release of the MongoDB Realm SDK for Unity was made available. This means that you can use Realm in your Unity game to store and sync data with only a few lines of code.

In this tutorial, we're going to build a nifty game that explores some storage and syncing use-cases.

Get Hyped: Synonyms in MongoDB Atlas Search

August 11, 2021 Anaiya Raisinghani

Sometimes, the word you're looking for is on the tip of your tongue, but you can't quite grasp it. For example, when you're trying to find a really funny tweet you saw last night to show your friends. If you're sitting there reading this and thinking, "Wow, Anaiya and Nic, you're so right. I wish there was a fix for this," strap on in! We have just the solution for those days when your precise linguistic abilities fail you, but you have an idea of what you're looking for: Synonyms in Atlas Search.

In this tutorial, we are going to be showing you how to index a MongoDB collection to capture searches for words that mean similar things. For the specifics, we're going to search through content written with Generation Z (Gen-Z) slang. The slang will be mapped to common words with synonyms and as a result, you'll get a quick Gen-Z lesson without having to ever open TikTok.

If you're in the mood to learn a few new words, alongside how effortlessly synonym mappings can be integrated into Atlas Search, this is the tutorial for you.

Influence Search Result Ranking with Function Scores in Atlas Search

July 14, 2021 Nic Raboy

When it comes to natural language searching, it's useful to know how the order of the results for a query were determined. Exact matches might be obvious, but what about situations where not all the results were exact matches due to a fuzzy parameter, the $near operator, or something else?

This is where the document score becomes relevant.

Every document returned by a $search query in MongoDB Atlas Search is assigned a score based on relevance, and the documents included in a result set are returned in order from highest score to lowest.

You can choose to rely on the scoring that Atlas Search determines based on the query operators, or you can customize its behavior using function scoring and optimize it towards your needs. In this tutorial, we're going to see how the function option in Atlas Search can be used to rank results in an example.