seed

name	seed
description	Seed the Convex database with starter/fixture data or import an existing dataset (CSV/JSON). TRIGGER when the user wants sample/seed data or to import a dataset into Convex. Idempotent, schema-matching.

Seed / import data

Populate tables via an internalMutation seed function (re-runnable) or npx convex import, matching the schema.

Steps

1. For fixtures: write an internalMutation that inserts sample rows; run it with npx convex run.
2. For bulk import: shape the data to the schema and use npx convex import.
3. Make seeding idempotent (clear-then-insert or upsert) so re-running is safe.
4. Verify row counts.

Rules

• Seed via internalMutation or convex import, matching validators.
• Make seeding idempotent.
• Never seed secrets/PII into a shared deployment.