Tag: nosql

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.

An Introduction to Indexes for MongoDB Atlas Search

April 30, 2021 Nic Raboy

Imagine reading a long book like "A Song of Fire and Ice," "The Lord of the Rings," or "Harry Potter." Now imagine that there was a specific detail in one of those books that you needed to revisit. You wouldn't want to search every page in those long books to find what you were looking for. Instead, you'd want to use some sort of book index to help you quickly locate what you were looking for. This same concept of indexing content within a book can be carried to MongoDB Atlas Search with search indexes.

Atlas Search makes it easy to build fast, relevant, full-text search on top of your data in the cloud. It's fully integrated, fully managed, and available with every MongoDB Atlas cluster running MongoDB version 4.2 or higher.

Correctly defining your indexes is important because they are responsible for making sure that you're receiving relevant results when using Atlas Search. There is no one-size-fits-all solution and different indexes will bring you different benefits.

In this tutorial, we're going to get a gentle introduction to creating indexes that will be valuable for various full-text search use cases.

Searching on Your Location with Atlas Search and Geospatial Operators

April 8, 2021 Nic Raboy

When thinking about full-text search, text and other string data is probably the first thing to come to mind. In fact, if you've been keeping up with my tutorials, you might remember Building an Autocomplete Form Element with Atlas Search and JavaScript or Visually Showing Atlas Search Highlights with JavaScript and HTML, both of which were on text search examples in MongoDB Atlas Search.

Being able to use natural language search on text data is probably one of the most popular use-cases, but there are scenarios where you might need to narrow the results even further.

Let's say you're building a restaurant review application like Yelp or a bed and breakfast booking system like Airbnb. Sure, you'll enter some kind of text criteria for what you're looking for, but there's also a location aspect to it. For example, if you want to find a place to get a cheeseburger within walking distance of your current location, you probably don't want your search results to contain entries from another country. This is an example of a geo search, where you would want to return results based on location coordinates.

In this tutorial, we're going to see how to use Atlas Search and the compound operator to search based on text entered and within a certain geographical area. For the text entered, we'll use the autocomplete operator, and for the geospatial component, we'll use the geoWithin operator.

Update Array Elements in a Document with MQL Positional Operators

February 25, 2021 Nic Raboy

MongoDB offers a rich query language that's great for create, read, update, and delete operations as well as complex multi-stage aggregation pipelines. There are many ways to model your data within MongoDB and regardless of how it looks, the MongoDB Query Language (MQL) has you covered.

One of the lesser recognized but extremely valuable features of MQL is in the positional operators that you'd find in an update operation.

Let's say that you have a document and inside that document, you have an array of objects. You need to update one or more of those objects in the array, but you don't want to replace the array or append to it. This is where a positional operator might be valuable.

In this tutorial, we're going to look at a few examples that would benefit from a positional operator within MongoDB.

Zap, Tweet, and Repeat! How to Use Zapier with MongoDB

February 18, 2021 Nic Raboy

I'm a huge fan of automation when the scenario allows for it. Maybe you need to keep track of guest information when they RSVP to your event, or maybe you need to monitor and react to feeds of data. These are two of many possible scenarios where you probably wouldn't want to do things manually.

There are quite a few tools that are designed to automate your life. Some of the popular tools include IFTTT, Zapier, and Automate. The idea behind these services is that given a trigger, you can do a series of events.

In this tutorial, we're going to see how to collect Twitter data with Zapier, store it in MongoDB using a Realm webhook function, and then run aggregations on it using the MongoDB query language (MQL).

Developing a Side-Scrolling Platformer Game with Unity and MongoDB Realm

January 8, 2021 Nic Raboy

I've been a gamer since the 1990s, so 2D side-scrolling platformer games like Super Mario Bros. hold a certain place in my heart. Today, 2D games are still being created, but with the benefit of having connectivity to the internet, whether that be to store your player state information, to access new levels, or something else.

Every year, MongoDB holds an internal company-wide hackathon known as Skunkworks. During Skunkworks, teams are created and using our skills and imagination, we create something to make MongoDB better or something that uses MongoDB in a neat way. For Skunkworks 2020, I (Nic Raboy) teamed up with Barry O'Neill to create a side-scrolling platformer game with Unity that queries and sends data between MongoDB and the game. Internally, this project was known as The Untitled Leafy Game.

In this tutorial, we're going to see what went into creating a game like The Untitled Leafy Game using Unity as the game development framework and MongoDB Realm for data storage and back end.