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Learn how to accurately query records from the previous hour in MySQL, ensuring you only fetch data added within a specific time range.
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How to Fetch Data Added in the Previous Hour Using MySQL and PHP

When working with databases, particularly in applications where user activity is tracked, it's common to need to filter records based on time. One frequent requirement is to query data added between specific periods - for instance, records that were created during the last hour.

However, sometimes developers find themselves needing data that was added from the beginning of the previous hour to the end of that same hour. This can be a bit tricky if you're unsure how to properly use date and time functions within MySQL. In this guide, we'll provide a clear solution to this common problem of querying records based on a specific hourly range.

The Problem

The initial attempt to query data to be fetched from the last hour may look something like this:

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

While this query returns records from the past hour, it does not meet the requirement for fetching data strictly from the previous hour – starting at the top of that hour and ending just before the next hour begins.

The Solution

To accurately fetch the desired records, we need to adjust our query to capture the time range from the start of the previous hour to the end of the previous hour. The solution involves using the BETWEEN clause along with MySQL's DATE_FORMAT and DATE_SUB functions.

SQL Syntax Breakdown

The improved SQL query should resemble the following:

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

Explanation of the Syntax

DATE_SUB(NOW(), INTERVAL 1 HOUR): This function subtracts one hour from the current date and time.

DATE_FORMAT(..., '%Y-%m-%d %H:00:00'): This formats the resulting date to get the beginning of that hour (e.g., 2023-10-15 14:00:00).

... %Y-%m-%d %H:59:59): This captures the last moment of that hour (e.g., 2023-10-15 14:59:59).

Summary

Using this rewritten SQL query, you can efficiently fetch records that were added during the entire previous hour without missing out on any entries within that timeframe. This method ensures that you consider the full range of the previous hour, establishing a precise boundary for your queries.

Now, you can confidently query your database for records added during the previous hour using the specified syntax, enhancing your data tracking capabilities.

If you encounter feedback (positive or negative) regarding implementation, know that it's a step towards refining your skills in SQL querying.

By following this guide, your applications will be better equipped to handle time-sensitive data, providing users with an accurate representation of their interactions.