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Скачать или смотреть How to Truncate Numbers to Fit Within a Range in PostgreSQL

  • vlogize
  • 2025-04-07
  • 1
How to Truncate Numbers to Fit Within a Range in PostgreSQL
Postgresql - truncate numbers to rangepostgresqltypescastingtruncate
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Описание к видео How to Truncate Numbers to Fit Within a Range in PostgreSQL

Discover how to easily truncate integers to fit within the range of smaller data types in PostgreSQL. Learn about the methods and case expressions for effective data management.
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This video is based on the question https://stackoverflow.com/q/76935056/ asked by the user 'Robert' ( https://stackoverflow.com/u/13524977/ ) and on the answer https://stackoverflow.com/a/76935097/ provided by the user 'Adrian Maxwell' ( https://stackoverflow.com/u/2067753/ ) 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: Postgresql - truncate numbers to range

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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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How to Truncate Numbers to Fit Within a Range in PostgreSQL

When working with databases, especially in SQL environments such as PostgreSQL, it's common to encounter data types that have specific storage limits. You might find yourself needing to truncate numbers so that they fit within the range of a smaller data type, like casting an INTEGER to a SMALLINT. If you're not careful, trying to cast an INTEGER larger than what a SMALLINT can hold could lead to errors. In this post, we'll discuss how to handle this situation effectively.

Understanding the Problem

PostgreSQL has a variety of data types, each designed to store a specific range of values:

INTEGER: This data type can store a wide range of numbers from -2,147,483,648 to 2,147,483,647.

SMALLINT: Conversely, this type can only store a smaller range, specifically from -32,768 to 32,767.

If you attempt to convert (or cast) an INTEGER value that exceeds this limit to a SMALLINT, you will encounter an error. Therefore, it’s useful to have a method to truncate these integers so that they remain within the allowable range.

The Solution

As of now, PostgreSQL does not provide a built-in function specifically designed to truncate values automatically when converting between these types. Instead, you will need to implement a CASE expression to manage this.

Using a CASE Expression

A CASE statement allows you to evaluate conditions and return values based on those conditions. Below is the structure for truncating an integer column safely into a SMALLINT:

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

Breaking Down the Code:

CASE Statement: This begins the conditional checks for your values.

WHEN your_integer_column 32767: If the integer is greater than the maximum value of a SMALLINT, set it to 32767.

WHEN your_integer_column -32768: Similarly, if the integer is less than the minimum value of a SMALLINT, set it to -32768.

ELSE your_integer_column: If the integer falls within the acceptable range of SMALLINT, it remains unchanged.

END::smallint: This specifies that the result of the CASE expression should be cast to SMALLINT.

Example in Practice

Imagine we have a table called your_table with a column value that contains integer data. Using the above SQL, we can safely ensure that the values fit within the SMALLINT constraints.

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

This effectively truncates any out-of-range values while maintaining those that fall within the limits.

Conclusion

While PostgreSQL does not provide a direct function to truncate values during type conversion, using a CASE expression is an effective workaround. This method allows you to handle integers robustly, ensuring they always remain within the bounds of the SMALLINT type. Utilizing this technique helps maintain data integrity and prevents runtime errors when working with numeric types in your database.

By implementing this simple approach, you’ll ensure that your data remains valid, and your queries run smoothly without unexpected errors!

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