Steps and SQL techniques to fulfill GDPR requirements—data minimization, encryption, anonymization, and right-to-erasure—using MariaDB.
GDPR demands that personal data be processed lawfully, stored securely, minimized, and erasable on request. For MariaDB, this translates to encrypting data at rest, masking or anonymizing columns, logging access, and implementing quick erasure workflows.
Encrypt columns holding personally identifiable information (PII) with the ENCRYPTED
attribute and a key management plugin. Encryption prevents unauthorized reads of raw disk blocks and backups.
ALTER TABLE Customers MODIFY email VARCHAR(255) ENCRYPTED;
Use UPDATE
with one-way functions such as SHA2()
or replacement strings. Anonymization satisfies data minimization while preserving referential integrity.
UPDATE Customers SET name = SHA2(name, 256) WHERE created_at < NOW() - INTERVAL 3 YEAR;
Create a stored procedure that deletes or nullifies a customer’s data across related tables inside one transaction. Use foreign keys with ON DELETE CASCADE
to simplify cleanup.
CREATE PROCEDURE forget_customer(IN p_id INT)BEGIN DELETE FROM Customers WHERE id = p_id;END;
Enable the MariaDB Audit Plugin, then configure it to log SELECT
, INSERT
, UPDATE
, and DELETE
against PII tables. Store logs in a secure, append-only location.
Enforce least-privilege roles, run scheduled anonymization jobs, rotate encryption keys, and document all procedures. Regularly test erasure scripts to guarantee sub-30-day fulfillment.
Yes. Use the ENCRYPTED
attribute on each sensitive column instead of full-disk encryption when performance is critical.
It shouldn’t be. Use one-way hashes or irreversibly masked values to meet GDPR requirements for data minimization.
GDPR states requests should be completed without undue delay—many organizations target completion within 30 days.