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INTERSECT

INTERSECT explained with practical SQL patterns, edge cases, and production-ready guidance.

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INTERSECT in Set Operations helps you write SQL that is easier to test, review, and operate at scale.

Introduction to INTERSECT

Use INTERSECT to combine or compare result sets from multiple queries.

Commonly paired with: SELECT, FROM, WHERE, ORDER BY.

Practical examples with INTERSECT in PostgreSQL

Reference pattern: start from canonical syntax and keep it explicit.

SELECT email FROM newsletter_optins
INTERSECT
SELECT email FROM customers;

Production-style scenario: apply the same concept to realistic application data.

SELECT
  o.order_id,
  o.total_amount,
  o.placed_at
FROM orders o
WHERE o.placed_at >= now() - interval '30 days'
ORDER BY o.placed_at DESC
LIMIT 50;

Additional example: use a variation to validate behavior and edge cases.

SELECT date_trunc('month', placed_at) AS month,
       SUM(total_amount) AS revenue
FROM orders
GROUP BY 1
ORDER BY 1;

Production tips

  • Prefer explicit column lists and deterministic ordering when results feed APIs or batch jobs.
  • Validate plans with EXPLAIN before adding indexes, then re-check after schema changes.
  • Keep DDL, data backfills, and cleanups in transactions when possible to avoid partial state.
  • Use isolated environments for risky changes so query tuning and schema experiments stay safe.

Vela workflow tip

Test this pattern in an isolated branch database, share the result with your team, and promote only after query plans and row counts look correct.

Reference: PostgreSQL official documentation.

Continue through the next items in Set Operations: EXCEPT .

Related: UNION EXCEPT