## Why Single-Table Architectures Collapse In blogging platforms and creator networks, high-frequency tables like post_views, post_reactions, and activity_notifications exhibit distinct write patterns: - Heavy append traffic during peak hours - Read queries concentrated almost entirely on the latest 30 days - Costly vacuum locks and index bloat over time Declarative table partitioning allows us to maintain microsecond query performance regardless of total table cardinality. ### Partitioning by Range on Timestamps ```sql CREATE TABLE post_views_partitioned ( id BIGSERIAL, post_id INT NOT NULL, user_id VARCHAR(255), created_at TIMESTAMP NOT NULL DEFAULT NOW(), PRIMARY KEY (id, created_at) ) PARTITION BY RANGE (created_at); ``` ### Key Takeaways for Teams 1. Always include the partition key in composite primary keys. 2. Ensure automated cron workers pre-allocate future partition slices. 3. Leverage partition pruning in query planner execution plans.