The first tutorial covered native PostgreSQL partitioning mechanics. This one focuses on the operational payoff — using partitioning for data lifecycle management.
The scenario: An application generates short-lived activation codes with a 12-hour TTL. A nightly job deletes all expired codes with DELETE FROM ... WHERE expires_at < now(), scanning and deleting rows one by one. With range partitioning on expires_at, expired codes naturally land in "cold" partitions that can be dropped instantly — no row scanning, no WAL generation, no vacuum pressure.
We'll use pg_partman to automate partition creation and retention.
Requirements: PostgreSQL 13 or later. pg_partman must be installed as an extension — it's pre-installed on managed services like Crunchy Bridge and available as a system package on most Linux distrib