PostgreSQL: created_at and updated_at columns

Updated: January 4, 2024 By: Guest Contributor Post a comment

Introduction

Managing creation and update timestamps is a common task in database design. PostgreSQL offers robust functionality for automating this process to ensure your data accurately reflects record changes.

Why Use created_at and updated_at Columns

Automated tracking of row creation and modification times provides metadata that can be essential for auditing changes, debugging, and understanding data lifecycle.

Creating the Timestamp Columns

Start by adding created_at and updated_at columns with the data type TIMESTAMP WITH TIME ZONE or TIMESTAMP WITHOUT TIME ZONE, depending on your needs.

CREATE TABLE your_table (
    id SERIAL PRIMARY KEY,
    created_at TIMESTAMP WITH TIME ZONE DEFAULT now(),
    updated_at TIMESTAMP WITH TIME ZONE DEFAULT now()
);

Automatically Update updated_at on Data Change

Create a trigger that automatically updates the updated_at column whenever the row is modified.

CREATE OR REPLACE FUNCTION update_modified_column()
RETURNS TRIGGER AS $
BEGIN
    NEW.updated_at = now();
    RETURN NEW;
END;
$ language 'plpgsql';

CREATE TRIGGER update_your_table_modtime
    BEFORE UPDATE ON your_table
    FOR EACH ROW EXECUTE FUNCTION update_modified_column();

Handling Time Zones

Consider storing timestamps in UTC and converting to local time zones in your application logic to avoid time zone confusion.

Default Values and Indexing

Set now() as the default function for your timestamp columns, allowing automatic generation during inserts. Indexing timestamps can improve performance when querying by time.

CREATE INDEX idx_your_table_created_at ON your_table(created_at);

Updating Only the updated_at Column

There are scenarios where you may need to update just the updated_at column. You can achieve this with a simple update statement.

UPDATE your_table SET updated_at = now() WHERE id = your_id;

Advanced Uses of Timestamps

Beyond simple tracking, these timestamps can be used for generating reports, cleaning up old data, or implementing soft deletes.

Common Pitfalls and Best Practices

Always ensure your triggers are efficiently written and test your logic extensively to prevent unexpected behavior. Also, remember to keep your system clocks in sync if you’re using now() across distributed systems.

Summary

Implementing created_at and updated_at columns in PostgreSQL is an excellent practice for maintaining a reliable record of your data’s history. Properly set up, these fields enrich your data with minimal overhead.