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Скачать или смотреть How to Calculate Highest, Lowest, and Average IMDb Ratings in MongoDB with Aggregation

  • vlogize
  • 2025-05-28
  • 3
How to Calculate Highest, Lowest, and Average IMDb Ratings in MongoDB with Aggregation
Is there a way to write this in one statement using aggregation?mongodbmongodb queryaggregate functions
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Описание к видео How to Calculate Highest, Lowest, and Average IMDb Ratings in MongoDB with Aggregation

Explore how to use MongoDB's aggregation framework to efficiently calculate the `highest`, `lowest`, and `average` IMDb ratings for award-winning films with more than two nominations.
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This video is based on the question https://stackoverflow.com/q/66987564/ asked by the user 'Amargitts' ( https://stackoverflow.com/u/14514702/ ) and on the answer https://stackoverflow.com/a/66988674/ provided by the user 'Wernfried Domscheit' ( https://stackoverflow.com/u/3027266/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

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Unlock the Power of MongoDB Aggregation to Analyze Film Ratings

When working with large datasets in MongoDB, particularly collections related to films like movieDetails, you might want to extract meaningful insights such as the highest, lowest, and average IMDb ratings. This is especially the case when you want to focus on award-winning films — those that have received at least one award and more than two nominations. If you're struggling to condense these queries into a single statement using MongoDB’s aggregation framework, fear not! This guide will guide you step-by-step through the correct aggregation process.

The Problem: Writing a Single Statement

You may have already tried several queries to calculate ratings independently, such as:

[[See Video to Reveal this Text or Code Snippet]]

These fragments are helpful but might not give you the combined insight in one single aggregation operation. Let's simplify this task using a consolidated aggregation pipeline.

The Solution: One Aggregation Statement

To achieve the desired outcome of obtaining the highest, lowest, and average IMDb ratings in one go, you’ll use the $match and $group stages of MongoDB’s aggregation framework. Here’s the full query that accomplishes this:

[[See Video to Reveal this Text or Code Snippet]]

Breaking Down the Query

$match: This stage filters the documents in the movieDetails collection. It ensures we only consider films with:

At least one award won ('awards.wins': { $gte: 1 })

More than two nominations ('awards.nominations': { $gt: 2 }).

$group: This stage organizes the filtered results. The key points here include:

_id: null: This groups all the results into a single output document.

highest: Calculates the maximum IMDb rating using $max.

lowest: Computes the minimum IMDb rating using $min.

average: Finds the average IMDb rating using $avg.

Important Considerations

Ensure that you adjust the comparisons ($gt, $gte) appropriately based on your needs. In this case, it's crucial to use > 2 for nominations, as specified in your original query.

This combined query efficiently returns all three metrics - highest, lowest, and average - in one invocation, enhancing performance and simplifying your code.

Conclusion

By utilizing the MongoDB aggregation framework as shown, you can swiftly analyze your movie data and derive essential metrics without running multiple queries. This not only saves time but also optimizes performance when working with extensive collections of film data.

Armed with this knowledge, you can now generate valuable insights from your movieDetails collection in MongoDB with ease!

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