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Test database testing including fixtures, transactions, and rollback management. Use when performing specialized testing. Trigger with phrases like "test the database", "run database tests", or "validate data integrity".
This skill is limited to using the following tools:
assets/README.mdassets/database_schema_definition.jsonassets/docker-compose.ymlassets/example_migration_script.sqlassets/test_data_schema_template.jsonreferences/README.mdscripts/README.mdscripts/generate_test_data.pyDatabase Test Manager
Overview
Manage database testing including fixture loading, transaction-based test isolation, migration validation, query performance testing, and data integrity checks. Supports PostgreSQL, MySQL, MongoDB, SQLite (in-memory), and Redis with ORM-agnostic patterns for Prisma, TypeORM, SQLAlchemy, Knex, and Drizzle.
Prerequisites
- Database instance available for testing (Docker container, in-memory SQLite, or dedicated test server)
- Database client library and ORM installed (Prisma, TypeORM, Knex, SQLAlchemy, etc.)
- Migration files up to date and tested independently
- Test database connection string configured in environment (distinct from development/production)
- Database seed data scripts for baseline test state
Instructions
- Set up the test database infrastructure:
- Use Docker to spin up a dedicated test database:
docker run -d -p 5433:5432 --name test-db postgres:16-alpine. - Or use SQLite in-memory mode for fast unit tests:
sqlite::memory:. - Or use Testcontainers for ephemeral database per test suite.
- Verify the test database is isolated from development data.
- Use Docker to spin up a dedicated test database:
- Run database migrations against the test database:
- Execute
npx prisma migrate deployornpx knex migrate:latest --env test. - Verify all migrations apply cleanly to an empty database.
- Test rollback: run
migrate:rollbackand verify schema reverts correctly.
- Execute
- Implement test isolation strategy (choose one):
- Transaction rollback: Wrap each test in a transaction; roll back after assertions. Fastest option.
- Truncation: Truncate all tables in
beforeEach. Simpler but slower. - Database recreation: Drop and recreate the database before each test suite. Slowest, most thorough.
- Create database fixture utilities:
- Factory functions that insert records and return the created entity with its database-generated ID.
- Seed functions for standard test scenarios (empty state, populated state, edge cases).
- Cleanup utilities that handle foreign key ordering for truncation.
- Write database-specific test cases:
- CRUD operations: Insert, query, update, delete records and verify database state.
- Constraint validation: Attempt invalid inserts (null on NOT NULL, duplicate on UNIQUE) and verify rejection.
- Referential integrity: Verify cascading deletes, foreign key enforcement, and orphan prevention.
- Index performance: Verify queries use expected indexes with EXPLAIN ANALYZE.
- Transaction isolation: Test concurrent updates and verify conflict handling.
- Test database query performance:
- Run
EXPLAIN ANALYZEon critical queries and assert expected index usage. - Benchmark query execution time with representative data volumes.
- Flag queries doing sequential scans on large tables.
- Run
- Validate migration safety:
- Test each migration can run on a populated database without data loss.
- Verify backward compatibility (old code works with new schema during rollout).
- Check migration execution time is acceptable for production deployment.
Output
- Database test files organized by entity in
tests/database/ortests/models/ - Fixture and factory utility files in
tests/helpers/ortests/factories/ - Migration test scripts validating up/down migrations
- Query performance benchmarks with EXPLAIN ANALYZE output
- Test database Docker Compose configuration
Error Handling
| Error | Cause | Solution |
|---|---|---|
| Foreign key constraint violation during cleanup | Truncation order does not respect foreign key dependencies | Truncate tables in reverse dependency order; or disable FK checks during cleanup (SET CONSTRAINTS ALL DEFERRED) |
| Connection pool exhausted | Too many test workers opening separate connections | Use a single shared connection for tests; limit pool size; close connections in afterAll |
| Migration fails on test database | Schema drift between development and test databases | Drop and recreate test database; run all migrations from scratch; verify migration checksums |
| Transaction rollback does not clean up | ORM auto-commits or test creates a new connection outside the transaction | Inject the transaction connection into all ORM operations; disable auto-commit in test config |
| Slow test suite due to database I/O | Too many INSERT/DELETE operations per test | Use in-memory SQLite for unit tests; batch seed data; use transaction rollback instead of truncation |
Examples
Jest with Prisma transaction rollback:
import { PrismaClient } from '@prisma/client';
const prisma = new PrismaClient();
describe('UserRepository', () => {
afterAll(async () => { await prisma.$disconnect(); });
it('creates and retrieves a user', async () => {
await prisma.$transaction(async (tx) => {
const created = await tx.user.create({
data: { name: 'Alice', email: 'alice@test.com' },
});
const found = await tx.user.findUnique({ where: { id: created.id } });
expect(found).toMatchObject({ name: 'Alice', email: 'alice@test.com' });
// Transaction rolls back automatically when we throw
throw new Error('ROLLBACK');
}).catch((e) => {
if (e.message !== 'ROLLBACK') throw e;
});
});
});
pytest with database fixture and rollback:
import pytest
from sqlalchemy import create_engine
from sqlalchemy.orm import Session
@pytest.fixture
def db_session():
engine = create_engine("postgresql://test:test@localhost:5433/testdb") # 5433 = configured value
connection = engine.connect()
transaction = connection.begin()
session = Session(bind=connection)
yield session
session.close()
transaction.rollback()
connection.close()
def test_insert_and_query_user(db_session):
db_session.execute(
text("INSERT INTO users (name, email) VALUES (:n, :e)"),
{"n": "Alice", "e": "alice@test.com"}
)
result = db_session.execute(text("SELECT name FROM users WHERE email = :e"),
{"e": "alice@test.com"}).fetchone()
assert result[0] == "Alice"
Migration validation test:
describe('Database Migrations', () => {
it('applies all migrations to empty database', async () => {
const result = await exec('npx prisma migrate deploy');
expect(result.exitCode).toBe(0);
});
it('migration is idempotent', async () => {
await exec('npx prisma migrate deploy');
const result = await exec('npx prisma migrate deploy');
expect(result.exitCode).toBe(0); // Second run should succeed (no-op)
});
});
Resources
- Prisma testing guide: https://www.prisma.io/docs/guides/testing
- SQLAlchemy testing patterns: https://docs.sqlalchemy.org/en/20/orm/session_transaction.html
- Testcontainers databases: https://testcontainers.com/modules/databases/
- Knex migrations: https://knexjs.org/guide/migrations.html
- PostgreSQL EXPLAIN ANALYZE: https://www.postgresql.org/docs/current/using-explain.html
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