Скачать или смотреть How to Efficiently Retrieve X Records from 24 Hours Ago Using Mongoose

Discover how to effectively query MongoDB for records from the last 24 hours using Mongoose in a Hapi.js project.
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Getting X Records from 24 Hours Ago with Mongoose

When working with databases, especially in a Node.js environment, retrieving specific data based on time can be a common yet complex task. In this guide, we’ll address a common issue faced by developers using Mongoose with Hapi.js: how to fetch X records from the last 24 hours. This guide will walk you through the solution in detail, ensuring you can implement it in your projects seamlessly.

The Problem

In your Hapi.js project, you are tasked with fetching records (in this case, prices) from a MongoDB collection that were created within the last 24 hours. Let's summarize the code you're using and the challenges you're facing:

You initially retrieve the latest records based on their creation time, which works well.

However, when you tried to fetch records from 24 hours ago, the query doesn't return any results, despite the presence of data in the database.

Here's a quick look at your initial approach:

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

The issue here is related to how the timestamp conditions are set up; it restricts your results to a very narrow time span.

The Solution: Querying the Database Efficiently

To successfully retrieve records from the last 24 hours, there are a few adjustments we can make to your querying approach:

Step 1: Update Your Query Condition

Instead of using both $gt and $lt with such a precise range, we'll adjust it to fetch records created within the last 24 hours. You no longer need to set a lower bound with $lt, as that will restrict the results improperly.

Step 2: Implement Sorting and Limiting

Once we've adjusted our query to fetch recent records, using the sort and limit functions will help you further refine your output. Here’s the refined code:

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

Key Components of the Solution:

Query Adjustment: Instead of a range, you now simply look for records created after 24 hours ago.

Sorting: This ensures that you retrieve the most recent records first, which is crucial for data analysis, especially in time-sensitive cases like prices.

Limiting Results: By limiting the number of records, you can easily control the volume of data you're processing at any given time.

Next Steps

Once you have retrieved the records from the last 24 hours using the above method, you can then proceed to calculate the percentage change from your previously fetched prices. Here's how you might approach that:

Fetch the latest prices as you've already done.

Perform your calculations based on the data retrieved.

Conclusion

Fetching records from a specific time frame can be challenging, but with the right approach, it becomes much simpler. By adjusting your query, adding sorting, and limiting results, you can effectively handle the retrieval of records from the last 24 hours in Mongoose. This method not only optimizes performance but also enhances the accuracy of your application’s data handling.

If you have any further questions on querying databases or need additional help with Mongoose, feel free to reach out!