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Скачать или смотреть How to Get Data Less Than a Week Old in MongoDB

  • vlogize
  • 2025-09-23
  • 0
How to Get Data Less Than a Week Old in MongoDB
Get less than a week old data in ISO string format in Mongo DBjavascriptmongodbmongoose
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Описание к видео How to Get Data Less Than a Week Old in MongoDB

Learn how to efficiently retrieve data in MongoDB that is less than a week old by using ISO string formats. This guide provides simple code examples and explanations.
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This video is based on the question https://stackoverflow.com/q/62316893/ asked by the user 'Jaykch' ( https://stackoverflow.com/u/6631668/ ) and on the answer https://stackoverflow.com/a/62317576/ provided by the user 'Jaykch' ( https://stackoverflow.com/u/6631668/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Get less than a week old data in ISO string format in Mongo DB

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
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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How to Get Data Less Than a Week Old in MongoDB: A Step-by-Step Guide

When dealing with databases, especially with MongoDB, one common requirement might be to fetch records that are less than a week old. The challenge can arise when trying to accurately filter these records based on date fields, ensuring that you're meeting specific conditions. In this post, we will tackle how to fetch data that is less than a week old using MongoDB.

The Problem

Imagine you have a collection of orders in your MongoDB database, and you want to get all orders closed within the last week. Specifically, you're checking against a date field named closed_at. Here’s an example of the data structure for one of the entries:

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

The goal is to return all records where closed_at is more recent than one week before the current date.

The Solution

To solve this problem, follow the steps below:

Step 1: Calculate Dates for Monday to Sunday

First, you need to determine the dates for the beginning of the week (Monday) and the end of the week (Sunday) for filtering purposes. You want to consider records that were closed between these two dates.

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

Here, beforeOneWeek calculates a date that is exactly one week ago.

The code determines which day of the week it is and calculates the nearest Monday.

Using that, it sets lastMonday and lastSunday accordingly.

Step 2: Query the Database

Now, we can use the calculated dates to filter the records in your MongoDB collection. Assuming you're using Mongoose or the MongoDB native driver, an aggregation pipeline allows us to read and filter the data efficiently.

Here's how you can implement the query:

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

Breakdown of the Aggregation Pipeline

$addFields: This stage adds a new field created_at_iso to the documents, converting the closed_at string into a date object.

$match: This stage filters the documents to include only those where created_at_iso is between lastMonday and lastSunday.

Conclusion

Using the simple steps outlined above, you can effectively retrieve documents from your MongoDB collection that are less than a week old. This method ensures your data queries are both efficient and precise, saving time and resources when working with date-based filtering.

By following this guide, you're now ready to handle similar challenges in date handling with MongoDB and optimize your database queries to get the data you need.



Remember to always test your queries in a safe environment before deploying them in production. Happy coding!

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