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A (MongoDB) New Year’s Resolution
Another New Year. Another reset. Another wave of optimism! Or, if you are a fan of Manchester United (like me), maybe not so optimistic. You’ve seen this pattern before. A bad run of form forces a big change: And yet … the same mistakes keep happening. Poor spacing. Slow transitions. Players doing too much because…
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Working with Geo Location Data in MongoDB
MongoDB makes it really easy to work with location data (sometimes called Geo Data) by simplifying how to store this type of data and streamlining how you query for it so you can easily create “find nearby” queries, or plot your location data with ease! Let’s start with the basics: modeling your data, indexing it…
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Full-Text Search in MongoDB with Relevance Scores
Do you know about MongoDB Text Search? Imagine we are building an app and want users to search by ingredients or dish names (like chocolate or zucchini bread) and get the most relevant results. But wait! We have that information in multiple places, like the recipe title or the ingredients, or tags (like “pasta” on…
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Clean Up Old Data Automatically with MongoDB TTL Indexes
With Big Data, comes well … a lot of data. But what if some of that data is only really useful within a certain timeframe? Think about things like: Luckily, MongoDB makes it easy to keep your collections tidy with what are called TTL indexes. TTL (Time To Live) indexes automatically delete documents after a…
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Scaling MongoDB with Sharding: Setup Best Practices
In our previous post, we covered the basics of sharding (how MongoDB distributes data across multiple servers), why config servers are critical, and how balancing helps maintain efficiency. Now, we’ll go deeper into three critical areas that will determine whether your sharded cluster thrives or struggles: Let’s break these down in detail. Shard Key Selection:…
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Scaling MongoDB with Sharding: The Basics
When your database starts to outgrow its capacity, you’ve got two options: scale up or scale out. Scaling up means buying bigger, beefier servers with more RAM, CPU, and disk space. Whereas scaling out (using MongoDB’s sharding feature) can be a more cost-effective and flexible solution. The Basics of Sharding In simple terms, sharding involves…
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MongoDB Aggregations: Identifying Popular Ingredients with $unwind and $group
In this series, we’re exploring different MongoDB aggregation operators by applying them to a collection of recipes. MongoDB Aggregations Series As part of our exploration we are imagining you’re building a recipe website. Today we want to analyze ingredient usage across all our recipes to find the most common ingredients. By using MongoDB’s $unwind and…
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MongoDB Aggregations: Organizing Recipes by Meal Type with $group
In this series, we’re exploring different MongoDB aggregation operators by applying them to a recipe collection. I hope you’ll follow along with each post! MongoDB Aggregations Series As part of this series we are imaging you’re building a recipe website. For this post we are adding some new features to our site including allowing users…
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MongoDB Aggregations: Finding Cooking Times with $min and $max
In this series we will explore different operators in the MongoDB Aggregation Framework via the context of a collection of recipes. MongoDB Aggregations Series Let’s say we’re making a brand new recipes website. Knowing the cooking times can help us categorize recipes into quick meals, slow-cooked dishes, or anything in between. MongoDB’s $min and $max…
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How to Change a MongoDB Primary to a Secondary
Maintaining a MongoDB Replica Set requires occasional maintenance and upgrades. Sometimes, this necessitates taking the primary node offline or converting it to a secondary node. Learn more about different Replica Set roles, Replica Sets: Member Roles and Types This guide will walk you through the steps needed to safely perform this task. Why Would You…
