跳到正文
cccskills
免费在 GitHub 公开

qe-database-testing

Database schema validation, data integrity testing, migration testing, transaction isolation, and query performance. Use when testing data persistence, ensuring referential integrity, or validating database migrations.

中文简介正在准备中。当前显示原文说明。

proffesor-for-testing/agentic-qe星标 515(GitHub 515 + cccskills 0)

实测评分 未实测

查看安装方法

包含的文件(1)

  • SKILL.md6.7 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Database Testing

<default_to_action> When testing database operations:

  1. VALIDATE schema (tables, columns, constraints exist as expected)
  2. TEST data integrity (unique, foreign key, check constraints)
  3. VERIFY migrations (forward works, rollback works, data preserved)
  4. CHECK transaction isolation (ACID properties, concurrent access)
  5. MEASURE query performance (indexes used, execution time)

Quick DB Testing Checklist:

  • Schema matches specification
  • Unique constraints prevent duplicates
  • Foreign keys prevent orphaned records
  • Migrations are reversible
  • Transactions roll back on error

Critical Success Factors:

  • Database bugs cause data loss/corruption (catastrophic)
  • Test migrations in staging before production
  • Transaction tests catch concurrency bugs </default_to_action>

Quick Reference Card

When to Use

  • New table/schema creation
  • Migration development
  • Data integrity validation
  • Query performance optimization

Database Test Types

TypeFocusWhen
SchemaStructure correctTable creation
IntegrityConstraints workData operations
MigrationUp/down workSchema changes
TransactionACID propertiesConcurrent access
PerformanceQuery speedOptimization

ACID Properties

PropertyTest Focus
AtomicityAll or nothing (rollback on error)
ConsistencyConstraints always valid
IsolationConcurrent transactions don't interfere
DurabilityCommitted data persists

Schema Testing

test('users table has correct schema', async () => {
  const schema = await db.raw(`
    SELECT column_name, data_type, is_nullable
    FROM information_schema.columns
    WHERE table_name = 'users'
  `);

  expect(schema).toContainEqual({
    column_name: 'id',
    data_type: 'integer',
    is_nullable: 'NO'
  });

  expect(schema).toContainEqual({
    column_name: 'email',
    data_type: 'character varying',
    is_nullable: 'NO'
  });
});

Data Integrity Testing

test('email must be unique', async () => {
  await db.users.create({ email: 'test@example.com' });

  await expect(
    db.users.create({ email: 'test@example.com' })
  ).rejects.toThrow('unique constraint violation');
});

test('foreign key prevents orphaned records', async () => {
  const user = await db.users.create({ email: 'test@example.com' });
  await db.orders.create({ userId: user.id, total: 100 });

  await expect(
    db.users.delete({ id: user.id })
  ).rejects.toThrow('foreign key constraint');
});

Migration Testing

test('migration is reversible', async () => {
  await migrate('add-users-table');

  // Table exists after migration
  const tables = await db.raw(`SELECT table_name FROM information_schema.tables`);
  expect(tables.map(t => t.table_name)).toContain('users');

  await rollback('add-users-table');

  // Table gone after rollback
  const tablesAfter = await db.raw(`SELECT table_name FROM information_schema.tables`);
  expect(tablesAfter.map(t => t.table_name)).not.toContain('users');
});

test('migration preserves existing data', async () => {
  await db.users.create({ email: 'test@example.com' });

  await migrate('add-age-column');

  const user = await db.users.findOne({ email: 'test@example.com' });
  expect(user).toBeDefined();
  expect(user.age).toBeNull(); // New column, null default
});

Transaction Testing

test('transaction rolls back on error', async () => {
  const initialCount = await db.users.count();

  try {
    await db.transaction(async (trx) => {
      await trx('users').insert({ email: 'user1@example.com' });
      await trx('users').insert({ email: 'user2@example.com' });
      throw new Error('Rollback test');
    });
  } catch (error) { /* Expected */ }

  expect(await db.users.count()).toBe(initialCount);
});

test('concurrent transactions isolated', async () => {
  const user = await db.users.create({ balance: 100 });

  // Two concurrent withdrawals (race condition test)
  await Promise.all([
    db.transaction(async (trx) => {
      const current = await trx('users').where({ id: user.id }).first();
      await trx('users').update({ balance: current.balance - 50 });
    }),
    db.transaction(async (trx) => {
      const current = await trx('users').where({ id: user.id }).first();
      await trx('users').update({ balance: current.balance - 50 });
    })
  ]);

  const final = await db.users.findOne({ id: user.id });
  expect(final.balance).toBe(0); // Proper isolation
});

Agent-Driven Database Testing

// Generate test data with integrity
await Task("Generate Test Data", {
  schema: 'ecommerce',
  tables: ['users', 'products', 'orders'],
  count: { users: 1000, products: 500, orders: 5000 },
  preserveReferentialIntegrity: true
}, "qe-test-data-architect");

// Test migration safety
await Task("Migration Test", {
  migration: 'add-payment-status-column',
  tests: ['forward', 'rollback', 'data-preservation'],
  environment: 'staging'
}, "qe-test-executor");

Agent Coordination Hints

Memory Namespace

aqe/database-testing/
├── schema-snapshots/*   - Current schema state
├── migrations/*         - Migration test results
├── integrity/*          - Constraint validation
└── performance/*        - Query benchmarks

Fleet Coordination

const dbFleet = await FleetManager.coordinate({
  strategy: 'database-testing',
  agents: [
    'qe-test-data-architect',  // Generate test data
    'qe-test-executor',        // Run DB tests
    'qe-performance-tester'    // Query performance
  ],
  topology: 'sequential'
});

Related Skills


Remember

Database bugs are catastrophic. Data loss is unrecoverable. Corruption spreads silently. Performance issues compound.

Test migrations before production: Forward works, rollback works, data preserved, performance acceptable. Never deploy untested migrations.

With Agents: qe-test-data-architect generates realistic test data with referential integrity. qe-test-executor validates migrations automatically in CI/CD.

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

a11y-ally

免费

Use when running comprehensive WCAG accessibility audits with axe-core + pa11y + Lighthouse, generating context-aware remediation, or testing video accessibility. Supports 3-tier browser cascade with graceful degradation.

中文简介正在准备中。当前显示原文说明。

proffesor-for-testing/agentic-qe5152026年10月26日 更新

WCAG 2.2 compliance testing, screen reader validation, and inclusive design verification. Use when ensuring legal compliance (ADA, Section 508), testing for disabilities, or building accessible applications for 1 billion disabled users globally.

中文简介正在准备中。当前显示原文说明。

proffesor-for-testing/agentic-qe5152026年10月26日 更新

Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.

中文简介正在准备中。当前显示原文说明。

proffesor-for-testing/agentic-qe5152026年10月26日 更新

Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.

中文简介正在准备中。当前显示原文说明。

proffesor-for-testing/agentic-qe5152026年10月26日 更新

Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.

中文简介正在准备中。当前显示原文说明。

proffesor-for-testing/agentic-qe5152026年10月26日 更新

Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.

中文简介正在准备中。当前显示原文说明。

proffesor-for-testing/agentic-qe5152026年10月26日 更新

查看 proffesor-for-testing 的全部技能

报告此技能的问题