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Analyzing the Challenges and Alternatives to Soft Delete Patterns in Software Development

By

buchanae

4mo ago· 8 min readenInsight

Summary

The article examines the challenges and complexities of implementing soft delete patterns in software development, particularly focusing on the issues with using archived_at timestamp columns. It discusses how soft delete designs can complicate queries, operations, and applications, while acknowledging their benefits for data recovery and compliance. The author explores alternative approaches including triggers, application events, and WAL-based change data capture as potential solutions to the problems inherent in traditional soft delete implementations.

Key quotes

· 5 pulled
Adding an archived_at column seems to ooze complexity out into queries, operations, and applications.
If customers accidentally delete their data, they can recover it, which makes work easier for customer support teams.
Perhaps archived records are even required for compliance or audit reasons.
I've run into some trouble with soft delete designs. I'll cover those, and ponder ideas for how I'd build this in the future.
Exploring alternatives to the archived_at column pattern: triggers, application events, and WAL-based change data capture.
Snippet from the RSS feed
Exploring alternatives to the archived_at column pattern: triggers, application events, and WAL-based change data capture.

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