typebox-legacy

Install the dependencies

npm

yarn

pnpm

bun

npm i drizzle-orm@rc @sinclair/typebox

yarn add drizzle-orm@rc @sinclair/typebox

pnpm add drizzle-orm@rc @sinclair/typebox

bun add drizzle-orm@rc @sinclair/typebox

Select schema

Defines the shape of data queried from the database - can be used to validate API responses.

import { int, mssqlTable, text } from 'drizzle-orm/mssql-core';
import { createSelectSchema } from 'drizzle-orm/typebox-legacy';
import { Value } from '@sinclair/typebox/value';

const users = mssqlTable('users', {
  id: int().primaryKey().identity(),
  name: text().notNull(),
  age: int().notNull()
});

const userSelectSchema = createSelectSchema(users);

const rows = await db.select({ id: users.id, name: users.name }).from(users).limit(1);
const parsed: { id: number; name: string; age: number } = Value.Parse(userSelectSchema, rows[0]); // Error: `age` is not returned in the above query

const rows = await db.select().from(users).limit(1);
const parsed: { id: number; name: string; age: number } = Value.Parse(userSelectSchema, rows[0]); // Will parse successfully

Views are also supported.

import { mssqlView } from 'drizzle-orm/mssql-core';
import { gt } from 'drizzle-orm';
import { createSelectSchema } from 'drizzle-orm/typebox-legacy';
import { Value } from '@sinclair/typebox/value';

const usersView = mssqlView('users_view').as((qb) => qb.select().from(users).where(gt(users.age, 18)));
const usersViewSchema = createSelectSchema(usersView);
const parsed: { id: number; name: string; age: number } = Value.Parse(usersViewSchema, ...);

Insert schema

Defines the shape of data to be inserted into the database - can be used to validate API requests.

import { int, mssqlTable, text } from 'drizzle-orm/mssql-core';
import { createInsertSchema } from 'drizzle-orm/typebox-legacy';
import { Value } from '@sinclair/typebox/value';

const users = mssqlTable('users', {
  id: int().primaryKey().identity(),
  name: text().notNull(),
  age: int().notNull()
});

const userInsertSchema = createInsertSchema(users);

const user = { name: 'John' };
const parsed: { name: string, age: number } = Value.Parse(userInsertSchema, user); // Error: `age` is not defined

const user = { name: 'Jane', age: 30 };
const parsed: { name: string, age: number } = Value.Parse(userInsertSchema, user); // Will parse successfully
await db.insert(users).values(parsed);

Update schema

Defines the shape of data to be updated in the database - can be used to validate API requests.

import { int, mssqlTable, text } from 'drizzle-orm/mssql-core';
import { createUpdateSchema } from 'drizzle-orm/typebox-legacy';
import { Value } from '@sinclair/typebox/value';
import { eq } from "drizzle-orm";

const users = mssqlTable('users', {
  id: int().primaryKey().identity(),
  name: text().notNull(),
  age: int().notNull()
});

const userUpdateSchema = createUpdateSchema(users);

const user = { age: 35 };
const parsed: { name?: string | undefined, age?: number | undefined } = Value.Parse(userUpdateSchema, user); // Will parse successfully
await db.update(users).set(parsed).where(eq(users.name, 'Jane'));

Each create schema function accepts an additional optional parameter that you can used to extend, modify or completely overwite a field’s schema. Defining a callback function will extend or modify while providing a Typebox schema will overwrite it.

import { int, mssqlTable, text } from 'drizzle-orm/mssql-core';
import { createSelectSchema } from 'drizzle-orm/typebox-legacy';
import { Type } from '@sinclair/typebox';
import { Value } from '@sinclair/typebox/value';

const users = mssqlTable('users', {
  id: int().primaryKey().identity(),
  name: text().notNull(),
  bio: text(),
  preferences: text()
});

const userSelectSchema = createSelectSchema(users, {
  name: (schema) => Type.String({ ...schema, maxLength: 20 }), // Extends schema
  bio: (schema) => Type.String({ ...schema, maxLength: 1000 }), // Extends schema before becoming nullable/optional
  preferences: Type.Object({ theme: Type.String() }) // Overwrites the field, including its nullability
});

const parsed: {
  id: number;
  name: string,
  bio: string | null;
  preferences: {
    theme: string;
  };
} = Value.Parse(userSelectSchema, ...);

Factory functions

For more advanced use cases, you can use the createSchemaFactory function.

Use case: Using an extended Typebox instance

import { int, mssqlTable, text } from 'drizzle-orm/mssql-core';
import { createSchemaFactory } from 'drizzle-orm/typebox';
import { t } from 'elysia'; // Extended Typebox instance

const users = mssqlTable('users', {
  id: int().primaryKey().identity(),
  name: text().notNull(),
  age: int().notNull()
});
const { createInsertSchema } = createSchemaFactory({ typeboxInstance: t });

const userInsertSchema = createInsertSchema(users, {
  // We can now use the extended instance
  name: (schema) => t.Number({ ...schema, error: "`name` must be a string" }),
});

Data type reference

MSSQL data type mappings follow the MSSQL column builders. See the MSSQL data types page for the full column reference.