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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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MongoDB Arrays: Using Operators
MongoDB offers a versatile and powerful way to work with array data using field query operators. Arrays are commonly used to store various types of data, and MongoDB’s array query operators allow you to manipulate and retrieve data from arrays efficiently. In this post, we’ll explore how to leverage some of these operators to make…
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MongoDB’s “Hidden” Index Feature
Indexes are crucial for optimizing query performance, but they can also be very costly to create (meaning they can take a lot of CPU, especially if built from scratch on existing data.) So, what if you’re uncertain about removing one? MongoDB offers a nifty solution: hiding indexes. Understanding Hidden Indexes Before bidding adieu to an…
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Replica Sets: Member Roles and Types
MongoDB replica sets are a powerful way to ensure high availability and data redundancy in your database environment. While we won’t delve into all the intricate configuration options here, let’s explore some key member roles and types that allow you to shape your replica set’s behavior according to your needs. Priority: Defining Leadership In a…
