Understanding Incremental View Maintenance (IVM) in PostgreSQL with pg_ivm Extension

The text discusses Incremental View Maintenance (IVM) and its implementation as a Postgres extension called pg_ivm. It explains the concept of materialized views in PostgreSQL, their advantages, and the limitations associated with manual updates and complete dataset recomputation. The text introduces the pg_ivm extension and its role in providing automatic maintenance for materialized views through incremental updates, allowing for keeping the views current with changes in the underlying data. Furthermore, it explores the use of IVM in conjunction with Change Data Capture (CDC) and streaming databases, highlighting its benefits and differences from traditional streaming database functionality.

• Incremental View Maintenance (IVM) provides automatic maintenance for materialized views through incremental updates
• Materialized views in PostgreSQL store computed data for improved query performance and are advantageous for complex queries or aggregations involving large datasets
• The pg_ivm extension offers incremental updates for materialized views, ensuring they stay up-to-date with changes in the underlying data
• IVM can be used in conjunction with Change Data Capture (CDC) to capture changes to materialized views and deliver them to analytical systems
• IVM differs from streaming databases in its ability to process events and align them by time, making it easier to reason with than traditional streaming databases