kysely

mgd34msu's avatarfrom mgd34msu

Implements Kysely type-safe SQL query builder with full TypeScript inference, migrations, and multi-database support. Use when building type-safe SQL queries, needing a lightweight ORM alternative, or wanting SQL control with TypeScript safety.

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When & Why to Use This Skill

This Claude skill implements Kysely, a premier type-safe SQL query builder for TypeScript. It allows developers to construct complex database queries with full autocompletion and type inference, ensuring high code quality and reducing runtime errors. By bridging the gap between raw SQL control and modern type safety, it supports major engines like PostgreSQL, MySQL, and SQLite, while providing essential tools for schema migrations and automated type generation.

Use Cases

  • Type-Safe Query Construction: Build complex SQL queries where TypeScript ensures table names, column names, and data types are correct at compile-time, significantly reducing runtime database errors.
  • Database Schema Migrations: Manage database versioning and schema evolution through a programmatic, type-safe migration system that integrates with version control.
  • Lightweight ORM Alternative: Provide a high-performance middle ground for projects that require direct SQL control without the overhead and abstraction of a traditional ORM.
  • Multi-Database Development: Develop applications that need to support or switch between different database engines (Postgres, MySQL, SQLite) using a unified and consistent API.
  • Automated Type Mapping: Generate TypeScript interfaces directly from existing database schemas to ensure the application code always stays in sync with the database structure.
namekysely
descriptionImplements Kysely type-safe SQL query builder with full TypeScript inference, migrations, and multi-database support. Use when building type-safe SQL queries, needing a lightweight ORM alternative, or wanting SQL control with TypeScript safety.

Kysely

Kysely is a type-safe TypeScript SQL query builder. It provides full autocompletion and type inference while compiling to plain SQL.

Quick Start

npm install kysely
npm install pg  # PostgreSQL
# or: mysql2, better-sqlite3

Database Type Definition

Define your schema as TypeScript interfaces:

// src/db/types.ts
import {
  ColumnType,
  Generated,
  Insertable,
  Selectable,
  Updateable
} from 'kysely'

// Table definitions
interface UserTable {
  id: Generated<number>
  email: string
  name: string | null
  created_at: ColumnType<Date, string | undefined, never>
}

interface PostTable {
  id: Generated<number>
  title: string
  content: string | null
  author_id: number
  published: boolean
  created_at: ColumnType<Date, string | undefined, never>
}

// Database interface
export interface Database {
  users: UserTable
  posts: PostTable
}

// Helper types for each table
export type User = Selectable<UserTable>
export type NewUser = Insertable<UserTable>
export type UserUpdate = Updateable<UserTable>

export type Post = Selectable<PostTable>
export type NewPost = Insertable<PostTable>
export type PostUpdate = Updateable<PostTable>

Client Setup

PostgreSQL

// src/db/index.ts
import { Kysely, PostgresDialect } from 'kysely'
import { Pool } from 'pg'
import { Database } from './types'

const dialect = new PostgresDialect({
  pool: new Pool({
    connectionString: process.env.DATABASE_URL,
    max: 10
  })
})

export const db = new Kysely<Database>({ dialect })

MySQL

import { Kysely, MysqlDialect } from 'kysely'
import { createPool } from 'mysql2'

const dialect = new MysqlDialect({
  pool: createPool({
    uri: process.env.DATABASE_URL
  })
})

export const db = new Kysely<Database>({ dialect })

SQLite

import { Kysely, SqliteDialect } from 'kysely'
import Database from 'better-sqlite3'

const dialect = new SqliteDialect({
  database: new Database('db.sqlite')
})

export const db = new Kysely<Database>({ dialect })

CRUD Operations

Select

// Select all columns
const users = await db
  .selectFrom('users')
  .selectAll()
  .execute()

// Select specific columns
const emails = await db
  .selectFrom('users')
  .select(['id', 'email'])
  .execute()

// With alias
const result = await db
  .selectFrom('users')
  .select([
    'id',
    'email',
    'name as full_name'
  ])
  .execute()

// Single row
const user = await db
  .selectFrom('users')
  .selectAll()
  .where('id', '=', userId)
  .executeTakeFirst()

// Single row or throw
const user = await db
  .selectFrom('users')
  .selectAll()
  .where('id', '=', userId)
  .executeTakeFirstOrThrow()

Where Clauses

// Equality
.where('email', '=', 'user@example.com')

// Comparison
.where('age', '>', 18)
.where('age', '>=', 21)

// IN
.where('status', 'in', ['active', 'pending'])

// LIKE
.where('name', 'like', '%john%')

// IS NULL
.where('deleted_at', 'is', null)

// IS NOT NULL
.where('verified_at', 'is not', null)

// Multiple conditions (AND)
.where('status', '=', 'active')
.where('role', '=', 'admin')

// OR conditions
.where(({ or, eb }) =>
  or([
    eb('status', '=', 'active'),
    eb('role', '=', 'admin')
  ])
)

// Complex conditions
.where(({ and, or, eb }) =>
  and([
    eb('status', '=', 'active'),
    or([
      eb('role', '=', 'admin'),
      eb('role', '=', 'moderator')
    ])
  ])
)

Insert

// Insert single row
const result = await db
  .insertInto('users')
  .values({
    email: 'user@example.com',
    name: 'John Doe'
  })
  .executeTakeFirst()

// Get inserted ID
const { insertId } = result

// Insert and return
const user = await db
  .insertInto('users')
  .values({
    email: 'user@example.com',
    name: 'John Doe'
  })
  .returningAll()
  .executeTakeFirstOrThrow()

// Insert multiple
await db
  .insertInto('users')
  .values([
    { email: 'alice@example.com', name: 'Alice' },
    { email: 'bob@example.com', name: 'Bob' }
  ])
  .execute()

// Insert from select
await db
  .insertInto('archived_users')
  .columns(['email', 'name'])
  .expression(
    db.selectFrom('users')
      .select(['email', 'name'])
      .where('status', '=', 'inactive')
  )
  .execute()

Update

// Update by condition
const result = await db
  .updateTable('users')
  .set({ name: 'Updated Name' })
  .where('id', '=', userId)
  .executeTakeFirst()

console.log('Rows updated:', result.numUpdatedRows)

// Update and return
const updatedUser = await db
  .updateTable('users')
  .set({ name: 'Updated Name' })
  .where('id', '=', userId)
  .returningAll()
  .executeTakeFirst()

// Update with expression
await db
  .updateTable('users')
  .set(eb => ({
    login_count: eb('login_count', '+', 1),
    last_login: eb.fn('now')
  }))
  .where('id', '=', userId)
  .execute()

Delete

// Delete by condition
const result = await db
  .deleteFrom('users')
  .where('id', '=', userId)
  .executeTakeFirst()

console.log('Rows deleted:', result.numDeletedRows)

// Delete and return
const deletedUser = await db
  .deleteFrom('users')
  .where('id', '=', userId)
  .returningAll()
  .executeTakeFirst()

// Delete with subquery
await db
  .deleteFrom('posts')
  .where('author_id', 'in',
    db.selectFrom('users')
      .select('id')
      .where('status', '=', 'deleted')
  )
  .execute()

Joins

// Inner join
const postsWithAuthors = await db
  .selectFrom('posts')
  .innerJoin('users', 'users.id', 'posts.author_id')
  .select([
    'posts.id',
    'posts.title',
    'users.name as author_name'
  ])
  .execute()

// Left join
const usersWithPosts = await db
  .selectFrom('users')
  .leftJoin('posts', 'posts.author_id', 'users.id')
  .select([
    'users.id',
    'users.name',
    'posts.title'
  ])
  .execute()

// Multiple joins
const result = await db
  .selectFrom('posts')
  .innerJoin('users', 'users.id', 'posts.author_id')
  .leftJoin('comments', 'comments.post_id', 'posts.id')
  .select([
    'posts.title',
    'users.name as author',
    db.fn.count('comments.id').as('comment_count')
  ])
  .groupBy(['posts.id', 'users.name'])
  .execute()

Aggregations

// Count
const { count } = await db
  .selectFrom('users')
  .select(db.fn.countAll().as('count'))
  .executeTakeFirstOrThrow()

// Sum, Avg, Min, Max
const stats = await db
  .selectFrom('orders')
  .select([
    db.fn.sum('total').as('total_revenue'),
    db.fn.avg('total').as('avg_order'),
    db.fn.min('total').as('min_order'),
    db.fn.max('total').as('max_order')
  ])
  .executeTakeFirstOrThrow()

// Group by
const salesByCategory = await db
  .selectFrom('products')
  .innerJoin('orders', 'orders.product_id', 'products.id')
  .select([
    'products.category',
    db.fn.sum('orders.quantity').as('total_sold')
  ])
  .groupBy('products.category')
  .having(db.fn.sum('orders.quantity'), '>', 100)
  .execute()

Ordering and Pagination

// Order by
const users = await db
  .selectFrom('users')
  .selectAll()
  .orderBy('created_at', 'desc')
  .orderBy('name', 'asc')
  .execute()

// Limit and offset
const page = await db
  .selectFrom('users')
  .selectAll()
  .orderBy('id')
  .limit(10)
  .offset(20)
  .execute()

// Cursor-based pagination
const nextPage = await db
  .selectFrom('users')
  .selectAll()
  .where('id', '>', lastId)
  .orderBy('id')
  .limit(10)
  .execute()

Transactions

// Basic transaction
await db.transaction().execute(async (trx) => {
  const user = await trx
    .insertInto('users')
    .values({ email: 'user@example.com', name: 'John' })
    .returningAll()
    .executeTakeFirstOrThrow()

  await trx
    .insertInto('posts')
    .values({
      title: 'First Post',
      author_id: user.id,
      published: false
    })
    .execute()
})

// Transaction with return value
const result = await db.transaction().execute(async (trx) => {
  // ... operations
  return { success: true }
})

Raw SQL

import { sql } from 'kysely'

// Raw expression
const users = await db
  .selectFrom('users')
  .selectAll()
  .where(sql`LOWER(email)`, '=', email.toLowerCase())
  .execute()

// Raw in select
const result = await db
  .selectFrom('users')
  .select([
    'id',
    sql<number>`EXTRACT(YEAR FROM created_at)`.as('year')
  ])
  .execute()

// Full raw query
const users = await sql<User>`
  SELECT * FROM users
  WHERE email = ${email}
`.execute(db)

Migrations

Setup

npm install -D kysely-ctl
// kysely.config.ts
import { defineConfig } from 'kysely-ctl'
import { db } from './src/db'

export default defineConfig({
  kysely: db,
  migrations: {
    migrationFolder: 'migrations'
  }
})

Create Migration

npx kysely migrate:make add_users_table
// migrations/001_add_users_table.ts
import { Kysely, sql } from 'kysely'

export async function up(db: Kysely<any>): Promise<void> {
  await db.schema
    .createTable('users')
    .addColumn('id', 'serial', col => col.primaryKey())
    .addColumn('email', 'varchar(255)', col => col.notNull().unique())
    .addColumn('name', 'varchar(255)')
    .addColumn('created_at', 'timestamp', col =>
      col.defaultTo(sql`now()`).notNull()
    )
    .execute()
}

export async function down(db: Kysely<any>): Promise<void> {
  await db.schema.dropTable('users').execute()
}

Run Migrations

npx kysely migrate:latest
npx kysely migrate:down
npx kysely migrate:rollback --all

Type Generation

Generate types from existing database:

npm install -D kysely-codegen
npx kysely-codegen --out-file src/db/types.ts

Plugins

Camel Case

import { Kysely, CamelCasePlugin } from 'kysely'

const db = new Kysely<Database>({
  dialect,
  plugins: [new CamelCasePlugin()]
})

// Now use camelCase in code
interface UserTable {
  id: Generated<number>
  createdAt: Date  // maps to created_at in DB
}

Query Logging

import { Kysely, LogEvent } from 'kysely'

const db = new Kysely<Database>({
  dialect,
  log(event: LogEvent) {
    if (event.level === 'query') {
      console.log(event.query.sql)
      console.log(event.query.parameters)
    }
  }
})

Best Practices

  1. One Kysely instance per database - Reuse connections
  2. Enable strict TypeScript - Required for full type safety
  3. Use Selectable/Insertable/Updateable - Proper types for operations
  4. Generate types from DB - Keep types in sync
  5. Use transactions for related operations - Data consistency
  6. Call db.destroy() on shutdown - Clean up connections
// Cleanup on shutdown
process.on('SIGINT', async () => {
  await db.destroy()
  process.exit(0)
})

References