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Скачать или смотреть Finding Whole Month Differences in Dates using Teradata SQL

  • vlogize
  • 2025-09-20
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Finding Whole Month Differences in Dates using Teradata SQL
sql Teradata difference in monthssqldateteradata
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Описание к видео Finding Whole Month Differences in Dates using Teradata SQL

Discover how to calculate the whole month difference between two dates in Teradata SQL effectively, ensuring accurate results without decimals.
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This video is based on the question https://stackoverflow.com/q/67973528/ asked by the user 'Adrian Mnc' ( https://stackoverflow.com/u/13147183/ ) and on the answer https://stackoverflow.com/a/67973615/ provided by the user 'Gordon Linoff' ( https://stackoverflow.com/u/1144035/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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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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Finding Whole Month Differences in Dates using Teradata SQL

Calculating date differences is a common task for those who work with databases and data analysis. However, when it comes to determining the difference in whole months between two dates, many users encounter challenges, especially when they require a result without decimals. In this guide, we will address a typical problem seen in Teradata SQL and offer a straightforward solution.

The Problem Statement

Imagine you have two dates, for instance, "1990-05-24" and "1990-05-27". You need to find out how many whole months have passed between these two dates. In this case, the answer should be 0 because the month of May hasn’t finished yet, even though the dates are in the same month.

You might have already used the MONTHS_BETWEEN() function, which calculates the number of months between two dates, but you may find that it often returns decimal values. Given that rounding may not always provide the desired and accurate result, you might wonder how you can achieve this correctly.

The Solution: Using months_between() with Date Truncation

To solve the issue of counting whole months, we can utilize the months_between() function in Teradata SQL. The trick lies in manipulating the dates before performing the calculation. Here’s the step-by-step guide:

Step 1: Truncate Dates to the First of the Month

First, we need to modify both of your date values to represent the first day of their respective months. This guarantees that we compare complete months without any partial days affecting our calculation.

Original Dates:

Opening Date: date1

Closing Date: date2

Truncated Dates:

Use the trunc() function to set these to the first day of the month:

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

Step 2: Calculate the Months Difference

Now that we've established the first day of the month for both dates, we can safely apply the months_between() function. Here’s how to structure the SQL statement:

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

Step 3: Consider Your Specific Use Cases

Using the above SQL command will yield the number of whole months between any two dates without the worry of decimals. Here are a few considerations:

Same Month Example:

Between "1990-05-24" and "1990-05-27", the result will be 0.

End of Month Consideration:

If it’s between "1990-05-29" and "1990-06-01", the result should now correctly reflect a month difference without floating point confusion.

Conclusion

By employing the trunc() function alongside months_between(), you can effectively calculate the number of whole months between two dates in Teradata SQL without running into the pitfalls of decimal rounding. This method provides clarity and ensures that your calculations represent only complete months.

In the world of data analysis, accuracy is paramount, and using these techniques will help you maintain precision in your date comparisons.

If you have any other challenges related to SQL or need further assistance, feel free to share your queries!

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