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Drop Column

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

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Drop Column in Managing Tables helps you write SQL that is easier to test, review, and operate at scale.

Introduction to Drop Column

Use Drop Column to evolve schema safely as your application grows.

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

Practical examples with Drop Column in PostgreSQL

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

ALTER TABLE users
DROP COLUMN legacy_flag;

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

BEGIN;
ALTER TABLE orders ADD COLUMN IF NOT EXISTS updated_at TIMESTAMPTZ DEFAULT now();
CREATE INDEX IF NOT EXISTS idx_orders_updated_at ON orders (updated_at DESC);
COMMIT;

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

ALTER TABLE orders
ADD CONSTRAINT orders_total_nonnegative CHECK (total_amount >= 0);

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 Managing Tables: Rename Column .

Related: PostgreSQL Data Types Create Table Select Into