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Скачать или смотреть How to Replace Numbers with Asterisks in PostgreSQL Using Regex

  • vlogize
  • 2025-05-25
  • 1
How to Replace Numbers with Asterisks in PostgreSQL Using Regex
Postgresql regex replace numbers to asterisksregexpostgresql
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Описание к видео How to Replace Numbers with Asterisks in PostgreSQL Using Regex

Discover how to easily replace specific numbers with asterisks in PostgreSQL using regex, making your database handling more secure and manageable!
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This video is based on the question https://stackoverflow.com/q/73774951/ asked by the user 'javax' ( https://stackoverflow.com/u/16756665/ ) and on the answer https://stackoverflow.com/a/73775212/ provided by the user 'Frank Heikens' ( https://stackoverflow.com/u/271959/ ) 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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How to Replace Numbers with Asterisks in PostgreSQL Using Regex

Managing sensitive information in your database is a crucial task for any developer or database administrator. One common situation arises when you need to replace certain characters—like numbers—with placeholders, such as asterisks (*). This practice not only helps secure sensitive data but can also assist in formatting output for better readability. In this guide, we'll explore how to use regular expressions (regex) in PostgreSQL to replace middle numbers of a string with asterisks.

The Problem

Imagine you have a database column that stores 16-digit numbers, such as:

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

You want to mask the middle numbers to keep them private or to simply format them for display, turning them into something like:

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

This task can be challenging, especially if you're new to regex. However, PostgreSQL provides robust support for regex, making it possible to achieve this efficiently.

The Solution

Thanks to community contributions, particularly from experts like @ Wiktor Stribiżew, we have a straightforward solution. We can use the regexp_replace function in PostgreSQL to accomplish our goal. Let's break down the solution into easy steps.

Step 1: Understand the regexp_replace Function

The regexp_replace function in PostgreSQL allows you to search for a substring using a regex pattern and replace it with another string. The syntax is:

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

string: The input string to be modified

pattern: The regex pattern to search for

replacement: The string to replace the matched pattern with

flags: Optional parameter that can modify the behavior of the pattern matching

Step 2: Implement the Regex Pattern

For our specific case, we want to replace the middle digits of a 16-digit number. To do this, we can use the following regex pattern:

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

(?<=..): This is a positive lookbehind assertion that checks for two digits before the current position (the start of the number).

.: Matches any single character (in our case, any digit).

(?=....): This is a positive lookahead assertion that checks for four digits following the current position (the end of the number).

Step 3: Run the SQL Query

Putting it all together, your complete SQL query will look like this:

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

In this query:

We specify our input number as '123467812345678'.

The pattern (?<=..).(?=....) targets the middle digits.

The replacement string is '*', which will replace the matched digits.

The g flag at the end indicates that every instance should be replaced globally.

Example Execution

When you run the above query in PostgreSQL, the output will be:

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

Conclusion

Using regex in PostgreSQL to replace numbers with asterisks is a valuable technique for managing sensitive data and ensuring privacy. With just a few lines of code, you can mask critical information while retaining the integrity of your database. If you have any further questions about regex or need assistance implementing this in your projects, feel free to reach out or explore more SQL resources!

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