---
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.