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agent-skills/skills/nestjs-best-practices/rules/perf-optimize-database.md
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README reorganized by domain: Code Quality, Frontend, Backend,
Auth, AI/Agent Building, Marketing, Design, Meta.

Mosaic Stack is not limited to coding — the Orchestrator serves
coding, business, design, marketing, writing, logistics, and analysis.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-16 16:22:53 -06:00

132 lines
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Markdown

---
title: Optimize Database Queries
impact: HIGH
impactDescription: Database queries are typically the largest source of latency
tags: performance, database, queries, optimization
---
## Optimize Database Queries
Select only needed columns, use proper indexes, avoid over-fetching relations, and consider query performance when designing your data access. Most API slowness traces back to inefficient database queries.
**Incorrect (over-fetching data and missing indexes):**
```typescript
// Select everything when you need few fields
@Injectable()
export class UsersService {
async findAllEmails(): Promise<string[]> {
const users = await this.repo.find();
// Fetches ALL columns for ALL users
return users.map((u) => u.email);
}
async getUserSummary(id: string): Promise<UserSummary> {
const user = await this.repo.findOne({
where: { id },
relations: ['posts', 'posts.comments', 'posts.comments.author', 'followers'],
});
// Over-fetches massive relation tree
return { name: user.name, postCount: user.posts.length };
}
}
// No indexes on frequently queried columns
@Entity()
export class Order {
@Column()
userId: string; // No index - full table scan on every lookup
@Column()
status: string; // No index - slow status filtering
}
```
**Correct (select only needed data with proper indexes):**
```typescript
// Select only needed columns
@Injectable()
export class UsersService {
async findAllEmails(): Promise<string[]> {
const users = await this.repo.find({
select: ['email'], // Only fetch email column
});
return users.map((u) => u.email);
}
// Use QueryBuilder for complex selections
async getUserSummary(id: string): Promise<UserSummary> {
return this.repo
.createQueryBuilder('user')
.select('user.name', 'name')
.addSelect('COUNT(post.id)', 'postCount')
.leftJoin('user.posts', 'post')
.where('user.id = :id', { id })
.groupBy('user.id')
.getRawOne();
}
// Fetch relations only when needed
async getFullProfile(id: string): Promise<User> {
return this.repo.findOne({
where: { id },
relations: ['posts'], // Only immediate relation
select: {
id: true,
name: true,
email: true,
posts: {
id: true,
title: true,
},
},
});
}
}
// Add indexes on frequently queried columns
@Entity()
@Index(['userId'])
@Index(['status'])
@Index(['createdAt'])
@Index(['userId', 'status']) // Composite index for common query pattern
export class Order {
@PrimaryGeneratedColumn('uuid')
id: string;
@Column()
userId: string;
@Column()
status: string;
@CreateDateColumn()
createdAt: Date;
}
// Always paginate large datasets
@Injectable()
export class OrdersService {
async findAll(page = 1, limit = 20): Promise<PaginatedResult<Order>> {
const [items, total] = await this.repo.findAndCount({
skip: (page - 1) * limit,
take: limit,
order: { createdAt: 'DESC' },
});
return {
items,
meta: {
page,
limit,
total,
totalPages: Math.ceil(total / limit),
},
};
}
}
```
Reference: [TypeORM Query Builder](https://typeorm.io/select-query-builder)