managing-database-tests

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".

1,868 stars

Best use case

managing-database-tests is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

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".

Teams using managing-database-tests should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/managing-database-tests/SKILL.md --create-dirs "https://raw.githubusercontent.com/jeremylongshore/claude-code-plugins-plus-skills/main/plugins/testing/database-test-manager/skills/managing-database-tests/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/managing-database-tests/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How managing-database-tests Compares

Feature / Agentmanaging-database-testsStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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".

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Database 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

1. 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.
2. Run database migrations against the test database:
   - Execute `npx prisma migrate deploy` or `npx knex migrate:latest --env test`.
   - Verify all migrations apply cleanly to an empty database.
   - Test rollback: run `migrate:rollback` and verify schema reverts correctly.
3. 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.
4. 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.
5. 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.
6. Test database query performance:
   - Run `EXPLAIN ANALYZE` on critical queries and assert expected index usage.
   - Benchmark query execution time with representative data volumes.
   - Flag queries doing sequential scans on large tables.
7. 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/` or `tests/models/`
- Fixture and factory utility files in `tests/helpers/` or `tests/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:**
```typescript
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:**
```python
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:**
```typescript
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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