MA

managing-database-tests

A suite for managing database test isolation, seeding, and migration validation.

Install

mkdir -p .claude/skills/managing-database-tests && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/5987" && unzip -o skill.zip -d .claude/skills/managing-database-tests && rm skill.zip

Installs to .claude/skills/managing-database-tests

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Test database testing including fixtures, transactions, and rollback
68 charsno explicit “when” trigger
Intermediate

Key capabilities

  • Database fixture loading and factory utilities
  • Transactional test isolation
  • Migration validation and rollback testing
  • Query performance benchmarking with EXPLAIN ANALYZE
  • Data integrity and constraint validation

How it works

It manages database state by using transactional rollbacks or truncation to isolate tests, while providing utilities to validate migrations and query performance.

Inputs & outputs

You give it
Database schema and test data
You get back
Test execution results and performance benchmarks

When to use managing-database-tests

  • Running isolated test transactions
  • Validating database migrations
  • Loading test fixtures
  • Automating data integrity checks

About this skill

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

ErrorCauseSolution
Foreign key constraint violation during cleanupTruncation order does not respect foreign key dependenciesTruncate tables in reverse dependency order; or disable FK checks during cleanup (SET CONSTRAINTS ALL DEFERRED)
Connection pool exhaustedToo many test workers opening separate connectionsUse a single shared connection for tests; limit pool size; close connections in afterAll
Migration fails on test databaseSchema drift between development and test databasesDrop and recreate test database; run all migrations from scratch; verify migration checksums
Transaction rollback does not clean upORM auto-commits or test creates a new connection outside the transactionInject the transaction connection into all ORM operations; disable auto-commit in test config
Slow test suite due to database I/OToo many INSERT/DELETE operations per testUse 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: '[email protected]' },
      });
      const found = await tx.user.findUnique({ where: { id: created.id } });
      expect(found).toMatchObject({ name: 'Alice', email: '[email protected]' });
      // 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": "[email protected]"}
    )
    result = db_session.execute(text("SELECT name FROM users WHERE email = :e"),
                                 {"e": "[email protected]"}).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

Prerequisites

Database instance available for testingDatabase client library and ORM installedMigration files up to dateTest database connection string

Limitations

  • Truncation is slower than transaction rollback
  • Requires careful management of foreign key dependencies during cleanup

How it compares

This approach uses ORM-agnostic patterns to automate database state management rather than relying on manual database resets.

Compared to similar skills

managing-database-tests side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
managing-database-tests (this skill)126dReviewIntermediate
generating-database-seed-data1026dReviewIntermediate
test-with-postgres12moReviewIntermediate
sql-optimization-patterns642moNo flagsAdvanced

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