Are soft deletes a good idea?
Soft deletes — marking records as deleted
without physically removing them — can be a lifeline in terms of data recovery, audit trail maintenance, and relation preservation. However, they do invite the woes of performance degradation and complex query formulation:
Flag to delete (but not actually delete delete):
Ignore the metaphorically 'deleted' records:
Ensure you weigh these considerations against your needs for data safety and retrievability.
Avoiding common traps with soft deletes
Less is more: Encapsulate with views and functions
Bypass having to include WHERE is_deleted = FALSE
each time by creating a view or function that inherently excludes deleted records:
Method to the madness: Two-step deletion
Prevent oopsie-daisy data losses and make deletion a two-step dance — soft delete followed by a hard delete after due review.
Anatomy of performance: Archive data
Archiving aged-off records, rather than keeping all in the main table, can keep the database performance in the green:
The data integrity hypotenuse
Fend off foreign key constraints with well-managed cascades on soft delete operations.
Deep dive into soft delete considerations
Say 'no' to boolean
Steer clear of is_deleted
; use deleted_date
instead. It not only marks absence but also tells when.
Law and order: Know your obligations
Ensure your data treatment complies with all legal policies, like GDPR, which mandates "right to be forgotten".
Spring cleaning: Scrub your database
Removing logically deleted records from time to time keeps your database neat and sprightly.
Plan for the marathon, not the sprint
Consider long-term implications of soft deletes on the database. Bigger databases might make queries sluggish.
Find the sweet spot: Balance data recovery and integrity
Strike a balance between restoration ease and overall data accuracy–don't sacrifice one for the other.
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