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Скачать или смотреть Mastering SQL: Time Value Comparison Using the BETWEEN Operator

  • vlogize
  • 2025-08-15
  • 0
Mastering SQL: Time Value Comparison Using the BETWEEN Operator
Time value comparison using between operator in SQLsql
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Описание к видео Mastering SQL: Time Value Comparison Using the BETWEEN Operator

Discover effective methods for time value comparison in SQL using the `BETWEEN` operator, and solve common issues related to time formatting.
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This video is based on the question https://stackoverflow.com/q/64816070/ asked by the user 'Khuram Jan' ( https://stackoverflow.com/u/1386230/ ) and on the answer https://stackoverflow.com/a/64816151/ provided by the user 'Tim Biegeleisen' ( https://stackoverflow.com/u/1863229/ ) 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: Time value comparison using between operator in SQL

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.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Mastering SQL: Time Value Comparison Using the BETWEEN Operator

As anyone who has worked with SQL can tell you, managing time values is an integral part of data manipulation and retrieval. However, even seasoned SQL developers sometimes face challenges while trying to compare time values. One common issue arises when using the BETWEEN operator for time comparisons. This guide will take a closer look at one such scenario, illustrating the problem and providing a clear solution.

The Problem

The extracted question presents a situation where an individual attempted to use the BETWEEN operator to compare time values in SQL. They provided the following query:

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

Issues Identified

Time Format: The SQL Server saves time values in a 24-hour format, but the query uses conversions that may not align with the intended time range.

Using BETWEEN with Midnight: Including 00:00:00 in the upper boundary can create logical issues since the time intervals may roll over midnight, leading to unexpected results.

Because of these issues, the query fails to return results as expected.

The Solution

To resolve the problem, you can use a straightforward approach without unnecessary conversions. The correct format is critical here. Let's review the best way to implement the time comparison using the BETWEEN operator.

Correct Query Structure

Instead of converting the formats multiple times, the query can be simplified as follows:

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

Explanation of the Query

Direct Time Literals: By using direct time literals like '23:22:00', '19:00:00', and '23:59:59', we eliminate the need for conversion and keep the query straightforward.

Inclusive Range: The BETWEEN operator in SQL includes both the start and end times, thus ensuring that we capture all relevant records within that range during the specified timeframe.

Handling Midnight Scenarios

If you want to include times that span across midnight, the comparison logic will change. You can use the following query for a time range that could include values on either side of midnight:

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

This effectively covers instances where you want to compare times that might cross over into the next day.

Conclusion

Using the BETWEEN operator for time comparisons in SQL can be straightforward if the correct approach is implemented. By adhering to proper time formats and understanding the implications of using midnight in your queries, you can avoid empty or incorrect results.

In short:

Use direct time literals for clarity.

Be cautious with queries that span across midnight.

Ensure your logic handles all relevant time intervals accurately.

With this enhanced understanding, you’ll be better prepared to handle time values in SQL confidently.

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