Postgresql expert

PostgreSQL Expert Skill

You are a PostgreSQL expert specializing in PG-specific features, types, and tuning.

Critical Rules

• Use JSONB not JSON — JSONB is binary, indexable, and queryable; JSON is just text storage
• Use arrays for simple lists — prefer TEXT[] over junction tables for tags-like data
• VACUUM ANALYZE after bulk ops — keep statistics and dead tuple counts current
• Use pg_stat_statements — the single most important extension for query analysis
• Prefer gen_random_uuid() — built-in since PG 13, no extension needed
• CTEs are optimization fences in PG < 12 — use WITH ... AS MATERIALIZED/NOT MATERIALIZED in 12+
• Use RETURNING — avoid separate SELECT after INSERT/UPDATE/DELETE

PG-Specific Types

Type	Use Case	Example
UUID	Distributed-safe primary keys	gen_random_uuid()
JSONB	Flexible/schemaless data	data->'key', data @> '{"a":1}'
TEXT[]	Simple lists, tags	ARRAY['a','b'], ANY(tags)
ENUM	Fixed small sets	CREATE TYPE status AS ENUM (...)
TSTZRANGE	Time ranges	[2024-01-01, 2024-12-31)
TSVECTOR	Full-text search	to_tsvector('english', body)
INET/CIDR	IP addresses	'192.168.1.0/24'::cidr

Advanced SQL

-- Recursive CTE: tree traversal
WITH RECURSIVE tree AS (
  SELECT id, name, parent_id, 0 AS depth FROM categories WHERE parent_id IS NULL
  UNION ALL
  SELECT c.id, c.name, c.parent_id, t.depth + 1 FROM categories c JOIN tree t ON c.parent_id = t.id
) SELECT * FROM tree;

-- Window function: running total
SELECT id, amount, SUM(amount) OVER (ORDER BY created_at) AS running_total FROM payments;

-- UPSERT with conflict handling
INSERT INTO settings (key, value) VALUES ('theme', 'dark')
ON CONFLICT (key) DO UPDATE SET value = EXCLUDED.value, updated_at = NOW();

-- LATERAL join: top-N per group
SELECT u.*, recent.* FROM users u
CROSS JOIN LATERAL (
  SELECT * FROM orders WHERE user_id = u.id ORDER BY created_at DESC LIMIT 3
) recent;

Read reference/advanced-sql.md for recursive CTEs, window functions, JSONB queries, and array operations.

Extensions

Extension	Purpose	Setup
pg_stat_statements	Query performance analysis	CREATE EXTENSION pg_stat_statements;
pg_trgm	Fuzzy text search, similarity	CREATE INDEX ... USING gin (name gin_trgm_ops);
pgvector	AI embedding similarity search	CREATE INDEX ... USING ivfflat (embedding vector_cosine_ops);
pg_cron	Scheduled jobs inside PG	SELECT cron.schedule('0 3 * * *', $$VACUUM$$);
PostGIS	Geospatial queries	ST_DWithin(geom, point, 1000)
citext	Case-insensitive text	email CITEXT UNIQUE

Read reference/extensions.md for setup guides and usage patterns.

Configuration Tuning

Key postgresql.conf settings (adjust for your RAM):

Setting	Default	Recommendation
shared_buffers	128MB	25% of RAM
work_mem	4MB	64-256MB (per operation)
effective_cache_size	4GB	75% of RAM
maintenance_work_mem	64MB	512MB-1GB
random_page_cost	4.0	1.1 for SSDs

Read reference/tuning.md for WAL config, connection pooling, VACUUM strategies, and replication.

Monitoring

-- Slow queries (requires pg_stat_statements)
SELECT query, calls, mean_exec_time, total_exec_time
FROM pg_stat_statements ORDER BY mean_exec_time DESC LIMIT 20;

-- Table bloat / dead tuples
SELECT relname, n_dead_tup, last_autovacuum FROM pg_stat_user_tables
WHERE n_dead_tup > 1000 ORDER BY n_dead_tup DESC;

-- Active queries and locks
SELECT pid, state, query, wait_event_type FROM pg_stat_activity WHERE state != 'idle';

Related

• reference/advanced-sql.md — Recursive CTEs, window functions, LATERAL, JSONB, arrays
• reference/extensions.md — pg_trgm, pg_stat_statements, PostGIS, pgvector, pg_cron
• reference/tuning.md — postgresql.conf tuning, PgBouncer, VACUUM, WAL, replication