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Скачать или смотреть Solving PostgreSQL Error: invalid regular expression: quantifier operand invalid

  • vlogize
  • 2025-10-01
  • 1
Solving PostgreSQL Error: invalid regular expression: quantifier operand invalid
(PostgreSQL issue) ERROR: invalid regular expression: quantifier operand invalidregexpostgresql
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Описание к видео Solving PostgreSQL Error: invalid regular expression: quantifier operand invalid

Discover how to effectively resolve the PostgreSQL error "invalid regular expression" with a step-by-step guide to fixing regex in constraints.
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This video is based on the question https://stackoverflow.com/q/63856683/ asked by the user 'Starscream512' ( https://stackoverflow.com/u/14263641/ ) and on the answer https://stackoverflow.com/a/63859392/ provided by the user 'Starscream512' ( https://stackoverflow.com/u/14263641/ ) 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.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Understanding and Fixing PostgreSQL's invalid regular expression: quantifier operand invalid Error

When working with PostgreSQL, you might come across various errors that can halt your progress. One such error is the invalid regular expression: quantifier operand invalid. This common issue can be particularly frustrating, especially when you're trying to enforce constraints on your database tables. In this guide, we will break down the error and provide a clear solution to fix it, ensuring that you can move forward smoothly with your PostgreSQL queries.

The Problem

The error arises while trying to add a constraint to the users table using a regular expression for email validation. Here’s the specific line of SQL that triggered this error:

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

When executed, PostgreSQL returns the following message:

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

This indicates that there are issues in the regular expression syntax being used, causing PostgreSQL to fail in interpreting it correctly.

Analyzing the Regex Issues

In the attempt to create a regular expression for validating email addresses, two main issues appeared in the original regex:

Unnecessary Flags: The part (?i-mx: was included as a result of interpolating regex from Ruby. These flags were not needed in PostgreSQL, causing it to misinterpret the regex.

Improper Escaping: Since the SQL statement is placed inside a heredoc, there is a requirement to escape backslashes. This was only done for the start and end of the string anchors, but all backslashes in the regex needed to be doubled.

The Solution

Given these two identified problems, here’s how we can correct the SQL statement.

Step-by-Step Fix

Remove Unnecessary Flags:

Eliminate (?i-mx: from the regex to simplify it.

Double the Backslashes:

Ensure that each backslash in the regex is escaped correctly by adding another backslash in front of it.

After applying these corrections, the revised SQL statement becomes:

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

Testing the Correction

Once you have updated the constraint, run the SQL statement again. If everything is correctly implemented, you should no longer see the invalid regular expression error, and the constraint should be added successfully to your users table.

Conclusion

Dealing with regex in SQL can be quite tricky, especially when combining contexts like Ruby and PostgreSQL. By understanding the issues that may arise and knowing how to rectify them, you can smoothly implement email validation in your database constraints. Always remember to check for unnecessary flags and ensure proper escaping of characters within the regex.

This will not only save you time but will also enhance your coding efficiency as you work on database management with PostgreSQL. Happy coding!

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