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Скачать или смотреть Excluding Columns from OLD and NEW Objects in PostgreSQL Triggers

  • vlogize
  • 2025-03-24
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Excluding Columns from OLD and NEW Objects in PostgreSQL Triggers
How to exclude columns from OLD and NEW object in PostreSql trigger functionsqlpostgresqltriggers
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Описание к видео Excluding Columns from OLD and NEW Objects in PostgreSQL Triggers

Learn how to effectively exclude specific columns, like modified_date, from your OLD and NEW objects in PostgreSQL trigger functions. This guide simplifies the process for better database management.
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This video is based on the question https://stackoverflow.com/q/74055130/ asked by the user 'Alex Vulchev' ( https://stackoverflow.com/u/9051579/ ) and on the answer https://stackoverflow.com/a/74056057/ provided by the user 'Laurenz Albe' ( https://stackoverflow.com/u/6464308/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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Excluding Columns from OLD and NEW Objects in PostgreSQL Triggers: A Step-by-Step Guide

When working with PostgreSQL triggers, you may encounter scenarios where you want to exclude specific columns from the comparison between the OLD and NEW objects. This requirement often arises during an update, especially when you have many columns in a table and wish to avoid unnecessary checks on certain fields like modified_date. If you're facing a similar situation, you’re in the right place! In this guide, we'll explore how to effectively achieve this.

The Challenge

You have a trigger function that activates before an update operation. However, one of the columns, for example, modified_date, changes frequently. You need a way to exclude this column from triggering the condition in your trigger function. The main objective is to check if the other columns are different without considering their values in modified_date, which could complicate the logic unnecessarily.

The Solution: Using PL/pgSQL to Exclude Columns

To exclude a column in your trigger function, you can leverage the PL/pgSQL language's capabilities. By declaring local variables that mimic your table structure, you can set the unwanted column to NULL before performing the comparison. Here’s how you can do it step-by-step:

Step 1: Declare Variables for OLD and NEW Rows

First, you will need to declare local variables for the OLD and NEW rows using the structure of your table. Replace tab with the actual name of your table.

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

Here, oldrow and newrow are initialized to the values of the OLD and NEW objects, respectively.

Step 2: Exclude modified_date from the Comparison

Next, you’ll want to explicitly set the modified_date to NULL for both local variables. This effectively excludes it from comparative checks.

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

Step 3: Compare Values

Now that you've effectively excluded modified_date, you can proceed with your comparison. Use the IS DISTINCT FROM operator to check if the rest of the rows are different.

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

The IS DISTINCT FROM operator is beneficial because it handles NULL values gracefully, ensuring accurate comparisons.

Step 4: Return the NEW Row

Finally, you’ll return the NEW row to complete the trigger function.

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

Complete Trigger Function Example

Putting it all together, your complete trigger function might look something like this:

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

Step 5: Create the Trigger

You can then link this function with a trigger as follows:

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

Conclusion

By following these steps, you can successfully exclude specific columns like modified_date from your OLD and NEW comparisons in PostgreSQL trigger functions. This method not only simplifies your logic but also enhances the maintainability of your triggers as your table structure evolves. Whether you are managing a small dataset or a complex database with numerous columns, this approach can save you from unnecessary complexity.

Feel free to reach out with your experiences or any challenges you face while implementing this in your own databases!

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