| workflow_payload |
name: Performance Tests
"on":
# 每周一凌晨 name: Performance Tests
"on":
# 每周一凌晨 2 点运行
schedule:
- cron: '0 2 * * 1'
# 允许手动触发
workflow_dispatch:
inputs:
test_type:
description: '测试类型'
required: true
default: 'benchmark'
type: choice
options:
- benchmark
- load
- stress
- all
duration:
description: '测试持续时间（秒）'
required: false
default: '60'
type: string
concurrency:
description: '并发数'
required: false
default: '10'
type: string
# PR 触发时只运行基准测试
pull_request:
branches: [main]
paths:
- 'backend/src/**'
- 'backend/prisma/**'
env:
NODE_VERSION: "18"
PNPM_VERSION: "8"
jobs:
db-performance:
name: "\U0001F5C4️ 数据库性能测试"
runs-on: ubuntu-latest
if: needs.setup.outputs.test_type == 'all'
steps:
- name: "\U0001F4E5 检出代码"
uses: actions/checkout@v4
- name: "\U0001F4E6 安装 pnpm"
uses: pnpm/action-setup@v2
with:
version: ${{ env.PNPM_VERSION }}
- name: "\U0001F7E2 设置 Node.js"
uses: actions/setup-node@v4
with:
cache: pnpm
node-version: ${{ env.NODE_VERSION }}
- name: "\U0001F4E6 安装依赖"
run: pnpm install --frozen-lockfile
- name: "\U0001F5C4️ 初始化数据库"
run: |
cd backend
npx prisma migrate deploy
env:
DATABASE_URL: postgresql://test:test@localhost:5432/juhi_db_perf
- name: "\U0001F528 生成测试数据"
run: |
cd backend
# 生成大量测试数据用于性能测试
cat > generate-test-data.ts << 'EOF'
import { PrismaClient } from '@prisma/client';
const prisma = new PrismaClient();
const TENANT_ID = '00000000-0000-0000-0000-000000000001';
async function main() {
console.log('生成测试数据...');
// 创建租户
await prisma.tenants.upsert({
where: { id: TENANT_ID },
create: { id: TENANT_ID, name: 'Performance Test Tenant', code: 'PERF' },
update: {},
});
// 批量创建线索（10000 条）
const leads = [];
for (let i = 0; i < 10000; i++) {
leads.push({
id: `lead-${i.toString().padStart(5, '0')}`,
tenant_id: TENANT_ID,
biz_id: `LEAD-${Date.now()}-${i}`,
company_name: `测试公司 ${i}`,
contact_name: `联系人 ${i}`,
contact_phone: `138${i.toString().padStart(8, '0')}`,
status: ['new', 'contacted', 'qualified'][i % 3],
source: ['website', 'referral', 'advertisement'][i % 3],
created_at: new Date(),
updated_at: new Date(),
});
}
await prisma.leads.createMany({
data: leads,
skipDuplicates: true,
});
console.log('已创建 10000 条线索');
}
main()
.catch(console.error)
.finally(() => prisma.$disconnect());
EOF
npx tsx generate-test-data.ts
env:
DATABASE_URL: postgresql://test:test@localhost:5432/juhi_db_perf
- name: "\U0001F9EA 运行数据库性能测试"
run: "cd backend\ncat > db-perf-test.ts << 'EOF'\nimport { PrismaClient } from '@prisma/client';\n\nconst prisma = new PrismaClient({\n log: ['query'],\n});\nconst TENANT_ID = '00000000-0000-0000-0000-000000000001';\n\ninterface PerfResult {\n name: string;\n avgMs: number;\n minMs: number;\n maxMs: number;\n iterations: number;\n}\n\nasync function benchmark(name: string, fn: () => Promise<any>, iterations = 100): Promise<PerfResult> {\n const times: number[] = [];\n\n // 预热\n for (let i = 0; i < 5; i++) {\n await fn();\n }\n\n // 正式测试\n for (let i = 0; i < iterations; i++) {\n const start = performance.now();\n await fn();\n times.push(performance.now() - start);\n }\n\n return {\n name,\n avgMs: times.reduce((a, b) => a + b, 0) / times.length,\n minMs: Math.min(...times),\n maxMs: Math.max(...times),\n iterations,\n };\n}\n\nasync function main() {\n const results: PerfResult[] = [];\n\n // 测试 1: 简单查询\n results.push(await benchmark('简单查询 (findMany)', async () => {\n await prisma.leads.findMany({\n where: { tenant_id: TENANT_ID },\n take: 20,\n });\n }));\n\n // 测试 2: 带筛选查询\n results.push(await benchmark('带筛选查询', async () => {\n await prisma.leads.findMany({\n where: {\n tenant_id: TENANT_ID,\n status: 'new',\n },\n take: 20,\n });\n }));\n\n // 测试 3: 计数查询\n results.push(await benchmark('计数查询', async () => {\n await prisma.leads.count({\n where: { tenant_id: TENANT_ID },\n });\n }));\n\n // 测试 4: 分页查询\n results.push(await benchmark('分页查询 (第50页)', async () => {\n await prisma.leads.findMany({\n where: { tenant_id: TENANT_ID },\n skip: 1000,\n take: 20,\n });\n }));\n\n // 输出结果\n console.log('\\n\U0001F4CA 数据库性能测试结果\\n');\n console.log('| 测试项 | 平均耗时 | 最小耗时 | 最大耗时 | 迭代次数 |');\n console.log('|--------|----------|----------|----------|----------|');\n\n for (const r of results) {\n console.log(`| ${r.name} | ${r.avgMs.toFixed(2)}ms | ${r.minMs.toFixed(2)}ms | ${r.maxMs.toFixed(2)}ms | ${r.iterations} |`);\n }\n\n // 写入 JSON 结果\n const fs = await import('fs');\n fs.writeFileSync('db-perf-results.json', JSON.stringify(results, null, 2));\n}\n\nmain()\n .catch(console.error)\n .finally(() => prisma.$disconnect());\nEOF\n\nnpx tsx db-perf-test.ts | tee db-perf-output.txt\n"
env:
DATABASE_URL: postgresql://test:test@localhost:5432/juhi_db_perf
- name: "\U0001F4DD 生成数据库性能报告"
run: "echo \"## \U0001F5C4️ 数据库性能测试报告\" >> $GITHUB_STEP_SUMMARY\necho \"\" >> $GITHUB_STEP_SUMMARY\n\nif [ -f \"backend/db-perf-output.txt\" ]; then\n cat backend/db-perf-output.txt >> $GITHUB_STEP_SUMMARY\nfi\n"
- name: "\U0001F4E4 上传数据库性能结果"
uses: actions/upload-artifact@v4
with:
name: db-performance-results
path: |
backend/db-perf-results.json
backend/db-perf-output.txt
retention-days: "30"
timeout-minutes: "30"
services:
postgres:
image: postgres:15
env:
POSTGRES_DB: juhi_db_perf
POSTGRES_PASSWORD: test
POSTGRES_USER: test
ports:
- 5432:5432
options: --health-cmd pg_isready --health-interval 10s --health-timeout 5s --health-retries 5
... |