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139
skills/optimizing-query-selection/references/api-optimization.md
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139
skills/optimizing-query-selection/references/api-optimization.md
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# API Optimization Patterns
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## API Endpoint Optimization
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```typescript
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export async function GET(request: Request) {
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const posts = await prisma.post.findMany({
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where: { published: true },
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select: {
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id: true,
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title: true,
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slug: true,
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excerpt: true,
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publishedAt: true,
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author: {
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select: {
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name: true,
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avatar: true,
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},
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},
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_count: {
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select: {
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comments: true,
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},
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},
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},
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orderBy: {
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publishedAt: 'desc',
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},
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take: 20,
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})
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return Response.json(posts)
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}
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```
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## List vs Detail Views
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### List View: Minimal Fields
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```typescript
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const users = await prisma.user.findMany({
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select: {
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id: true,
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name: true,
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email: true,
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role: true,
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_count: {
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select: {
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posts: true,
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},
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},
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},
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})
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```
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### Detail View: More Complete Data
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```typescript
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const user = await prisma.user.findUnique({
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where: { id },
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select: {
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id: true,
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name: true,
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email: true,
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role: true,
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bio: true,
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avatar: true,
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createdAt: true,
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posts: {
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select: {
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id: true,
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title: true,
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publishedAt: true,
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_count: {
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select: {
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comments: true,
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},
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},
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},
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orderBy: {
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publishedAt: 'desc',
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},
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take: 10,
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},
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_count: {
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select: {
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posts: true,
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comments: true,
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followers: true,
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},
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},
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},
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})
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```
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## Pagination with Select
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```typescript
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async function getPaginatedPosts(page: number, pageSize: number) {
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const [posts, total] = await Promise.all([
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prisma.post.findMany({
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select: {
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id: true,
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title: true,
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excerpt: true,
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author: {
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select: {
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name: true,
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},
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},
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},
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skip: page * pageSize,
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take: pageSize,
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orderBy: {
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createdAt: 'desc',
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},
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}),
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prisma.post.count(),
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])
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return {
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posts,
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pagination: {
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page,
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pageSize,
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total,
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pages: Math.ceil(total / pageSize),
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},
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}
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}
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```
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## Key Patterns
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- **List views:** Minimize fields, use `_count` for relations
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- **Detail views:** Include necessary relations with limits
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- **API responses:** Always use `select` to control shape
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- **Pagination:** Combine `select` with `take`/`skip`
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# N+1 Prevention Guide
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## Anti-Patterns
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### Over-fetching
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**Problem:**
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```typescript
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const user = await prisma.user.findUnique({
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where: { id },
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include: {
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posts: {
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include: {
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comments: {
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include: {
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author: true,
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},
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},
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},
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},
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},
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})
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```
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**Issue:** Fetches thousands of records, massive data transfer
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**Fix:** Use select with limits
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```typescript
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const user = await prisma.user.findUnique({
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where: { id },
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select: {
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id: true,
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name: true,
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posts: {
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select: {
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id: true,
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title: true,
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_count: {
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select: {
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comments: true,
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},
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},
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},
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take: 10,
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orderBy: {
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createdAt: 'desc',
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},
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},
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},
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})
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```
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### Inconsistent Selection
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**Problem:**
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```typescript
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const posts = await prisma.post.findMany({
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include: {
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author: true,
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},
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})
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```
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**Issue:** Full author object when only name needed
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**Fix:** Select specific fields
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```typescript
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const posts = await prisma.post.findMany({
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select: {
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id: true,
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title: true,
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author: {
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select: {
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name: true,
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},
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},
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},
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})
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```
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### Selecting Then Filtering
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**Problem:**
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```typescript
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const users = await prisma.user.findMany()
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const activeUsers = users.filter(u => u.status === 'active')
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```
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**Issue:** Fetches all users, filters in application
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**Fix:** Filter in database
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```typescript
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const activeUsers = await prisma.user.findMany({
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where: { status: 'active' },
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select: {
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id: true,
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name: true,
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email: true,
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},
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})
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```
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## Prevention Strategies
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1. **Always load relations upfront** - Never query in loops
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2. **Use select with relations** - Don't fetch unnecessary fields
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3. **Add take limits** - Prevent accidental bulk loads
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4. **Use _count** - Don't load relations just to count
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5. **Test with realistic data** - N+1 only shows at scale
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# Nested Selection Patterns
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## Deep Relation Hierarchies
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Select fields deep in relation hierarchies:
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```typescript
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const posts = await prisma.post.findMany({
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select: {
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title: true,
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author: {
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select: {
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name: true,
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profile: {
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select: {
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avatar: true,
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},
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},
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},
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},
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comments: {
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select: {
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content: true,
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author: {
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select: {
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name: true,
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},
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},
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},
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take: 5,
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orderBy: {
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createdAt: 'desc',
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},
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},
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},
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})
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```
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## Combining Select with Filtering
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Optimize both data transfer and query performance:
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```typescript
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const recentPosts = await prisma.post.findMany({
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where: {
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published: true,
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createdAt: {
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gte: new Date(Date.now() - 7 * 24 * 60 * 60 * 1000),
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},
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},
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select: {
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id: true,
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title: true,
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excerpt: true,
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createdAt: true,
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author: {
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select: {
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id: true,
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name: true,
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},
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},
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_count: {
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select: {
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comments: true,
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likes: true,
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},
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},
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},
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orderBy: {
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createdAt: 'desc',
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},
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take: 10,
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})
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```
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## Key Principles
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- Nest selections to match data shape requirements
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- Use `take` on nested relations to prevent over-fetching
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- Combine `orderBy` with nested relations for sorted results
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- Use `_count` for relation counts instead of loading all records
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# Performance Verification
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## Verification Checklist
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After optimization, verify improvements:
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1. **Data Size:** Check response payload size
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2. **Query Time:** Measure database query duration
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3. **Query Count:** Ensure single query instead of N+1
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4. **Memory Usage:** Monitor application memory
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## Enable Query Logging
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```typescript
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const prisma = new PrismaClient({
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log: [
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{ emit: 'event', level: 'query' },
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],
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})
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prisma.$on('query', (e) => {
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console.log('Query: ' + e.query)
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console.log('Duration: ' + e.duration + 'ms')
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})
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```
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## Performance Testing
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```typescript
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async function testQueryPerformance() {
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console.time('Unoptimized')
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await prisma.user.findMany({
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include: { posts: true }
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})
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console.timeEnd('Unoptimized')
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console.time('Optimized')
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await prisma.user.findMany({
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select: {
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id: true,
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name: true,
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_count: { select: { posts: true } }
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}
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})
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console.timeEnd('Optimized')
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}
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```
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## Payload Size Comparison
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```typescript
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async function comparePayloadSize() {
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const full = await prisma.post.findMany()
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const optimized = await prisma.post.findMany({
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select: {
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id: true,
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title: true,
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excerpt: true,
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}
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})
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console.log('Full payload:', JSON.stringify(full).length, 'bytes')
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console.log('Optimized payload:', JSON.stringify(optimized).length, 'bytes')
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console.log('Reduction:',
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Math.round((1 - JSON.stringify(optimized).length / JSON.stringify(full).length) * 100),
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'%'
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)
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}
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```
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## Index Verification
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Check that indexes exist for queried fields:
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```sql
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-- PostgreSQL
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SELECT indexname, indexdef
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FROM pg_indexes
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WHERE tablename = 'Post';
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-- MySQL
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SHOW INDEXES FROM Post;
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```
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## Production Monitoring
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Monitor in production:
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1. **APM tools:** Track query performance over time
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2. **Database metrics:** Monitor slow query log
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3. **API response times:** Measure endpoint latency
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4. **Memory usage:** Track application memory consumption
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## Expected Improvements
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After optimization:
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- **Query count:** Reduced to 1-2 queries (from N+1)
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- **Response size:** 60-90% smaller payload
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- **Query time:** Similar or faster
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- **Memory usage:** 50-80% lower
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101
skills/optimizing-query-selection/references/type-safety.md
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101
skills/optimizing-query-selection/references/type-safety.md
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@@ -0,0 +1,101 @@
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# Type Safety Guide
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## Inferred Types
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TypeScript infers exact return types based on selection:
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```typescript
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const user = await prisma.user.findUnique({
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where: { id: 1 },
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select: {
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name: true,
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email: true,
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posts: {
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select: {
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title: true,
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},
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},
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},
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})
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```
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Inferred type:
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```typescript
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{
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name: string
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email: string
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posts: {
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title: string
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}[]
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} | null
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```
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## Reusable Selection Objects
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Create reusable selection objects:
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```typescript
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const userBasicSelect = {
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id: true,
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name: true,
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email: true,
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} as const
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const users = await prisma.user.findMany({
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select: userBasicSelect,
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})
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```
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## Composition Patterns
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Build complex selections from smaller pieces:
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```typescript
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const authorSelect = {
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id: true,
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name: true,
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email: true,
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} as const
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const postSelect = {
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id: true,
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title: true,
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author: {
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select: authorSelect,
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},
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} as const
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const posts = await prisma.post.findMany({
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select: postSelect,
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})
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```
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## Type Extraction
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Extract types from selection objects:
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```typescript
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import { Prisma } from '@prisma/client'
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const postWithAuthor = Prisma.validator<Prisma.PostDefaultArgs>()({
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select: {
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id: true,
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title: true,
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author: {
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select: {
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id: true,
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name: true,
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},
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},
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},
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})
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type PostWithAuthor = Prisma.PostGetPayload<typeof postWithAuthor>
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```
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## Benefits
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||||
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- **Type safety:** Compiler catches field typos
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- **Refactoring:** Changes propagate through types
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- **Reusability:** Share selection patterns
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- **Documentation:** Types serve as inline docs
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Reference in New Issue
Block a user