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Скачать или смотреть Fixing CONCAT Query: How to Output Accurate Time in MySQL

  • vlogize
  • 2025-05-27
  • 0
Fixing CONCAT Query: How to Output Accurate Time in MySQL
CONCAT Query displaying wrong Timephpmysqlsql
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Описание к видео Fixing CONCAT Query: How to Output Accurate Time in MySQL

Learn how to resolve incorrect minute outputs in your `CONCAT` query by using the right format specifier in MySQL for better data representation.
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This video is based on the question https://stackoverflow.com/q/66576909/ asked by the user 'eTrack' ( https://stackoverflow.com/u/15373167/ ) and on the answer https://stackoverflow.com/a/66577088/ provided by the user 'eTrack' ( https://stackoverflow.com/u/15373167/ ) 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: CONCAT Query displaying wrong Time

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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Fixing CONCAT Query: How to Output Accurate Time in MySQL

In the world of web development, precise data handling is crucial, especially when it comes to time stamps. A common problem faced by developers involves using SQL queries to manipulate and display time correctly from a MySQL database. Recently, a developer encountered a peculiar issue: the CONCAT query was displaying the wrong minutes in their output, making it crucial to understand what went wrong and how to fix it.

The Problem: Incorrect Time Formatting

The developer reported that while using a SQL query to add two hours to a date and format the resulting time, all output times displayed minutes as 03, regardless of the actual minutes in the data. For instance, the input time of 2021-03-11 04:44:18 was inaccurately transformed to 2021-03-11 06:03:18.

This inconsistency can lead to misunderstandings and flawed data presentation, which is why fixing it is essential.

Original Query

Here’s the original query that was used:

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

Analysis of the Problem

The root cause of the problem lies in the incorrect format specifier being used in the DATE_FORMAT function. In SQL, the format specifiers serve specific purposes:

%Y: Four-digit year

%m: Month (01 to 12)

%H: Hour (00 to 23)

%i: Minutes (00 to 59)

%s: Seconds (00 to 59)

By examining the query, we see that %m was mistakenly used in place of %i for minutes. This significant mix-up altered the intended result from minutes to months.

The Solution: Correcting the Format Specifier

To rectify the situation, the correct format specifier for minutes must be utilized. The revised query is as follows:

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

Explanation of the Changes

Replacement of %m with %i: The fundamental change involves the replacement of the %m specifier with %i, ensuring that the minutes are properly represented in the output.

Validation of Input Data: Always verify your input data's format to ensure uniformity and accuracy before applying operations.

Testing: After making the changes, executing the updated query should result in the correct format and accurate time representation.

Key Takeaways

Always cross-reference format specifiers when dealing with date and time in SQL to avoid errors.

Regularly test SQL queries to ensure they produce the expected output.

Documentation and learning resources around SQL can provide valuable guidance in avoiding common pitfalls.

By following these adjustments, developers can confidently manipulate time data in MySQL without the worry of incorrect outputs. With a better understanding of how to format date and time information, you're now equipped to build robust SQL queries that truly reflect the information needed.

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