Beyond headline features, PostgreSQL 18 includes powerful capabilities most developers miss. Discover incremental materialized views, vectorized execution, and more.
1. Incremental Materialized View Refresh
Materialized views that refresh in seconds instead of hours.
CREATE MATERIALIZED VIEW sales_summary
WITH (incremental = true)
AS SELECT
date_trunc('day', created_at) as day,
SUM(amount) as total_sales
FROM orders GROUP BY 1;
REFRESH MATERIALIZED VIEW sales_summary INCREMENTALLY;
Impact: Refresh reduced from 2 hours to 30 seconds on 1TB table with 0.1% daily change.
2. Vectorized Execution for Aggregates
SIMD instructions automatically accelerate aggregations (2-4x faster).
3. Native Range Merge Joins
Joining on overlapping ranges is now 10-50x faster.
4. Enhanced Foreign Data Wrapper Pushdown
PostgreSQL pushes aggregations, sorting, and limits to remote servers, reducing network traffic by 100x.
5. LZ4 TOAST Compression
Faster compression (3-5x) for large columns.
CREATE TABLE documents (
id bigint PRIMARY KEY,
content text COMPRESSION lz4
);
6. Multi-Range Data Types
Sets of non-overlapping ranges—perfect for scheduling.
7. UUID v7 Generation
Time-ordered UUIDs that don't fragment B-tree indexes.
CREATE TABLE events (
id uuid PRIMARY KEY DEFAULT gen_uuid_v7(),
event_type text
);
Benefit: 80% reduction in B-tree fragmentation vs UUID v4.
8. Improved Query Parallelization for CTEs
Common Table Expressions can now be parallelized effectively.
9. Chained Generated Columns
CREATE TABLE orders (
subtotal decimal,
tax decimal GENERATED ALWAYS AS (subtotal * 0.1) STORED,
total decimal GENERATED ALWAYS AS (subtotal + tax) STORED
);
10. Enhanced Performance Statistics
Detailed I/O statistics per table for better optimization.
Conclusion
These hidden gems solve real problems: incremental mat views for analytics, UUID v7 for distributed systems, multirange for scheduling. Explore them—they might eliminate workarounds you've been using for years.
