drizzle-valibot

drizzle-valibot is a plugin for Drizzle ORM that allows you to generate Valibot schemas from Drizzle ORM schemas.

Install the dependencies

npm

yarn

pnpm

bun

npm i drizzle-valibot

yarn add drizzle-valibot

pnpm add drizzle-valibot

bun add drizzle-valibot

IMPORTANT

This documentation is for [email protected] and higher

You must also have Drizzle ORM v0.36.0 or greater and Valibot v1.0.0-beta.7 or greater installed.

Select schema

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

import { pgTable, text, integer } from 'drizzle-orm/pg-core';
import { createSelectSchema } from 'drizzle-valibot';
import { parse } from 'valibot';

const users = pgTable('users', {
  id: integer().generatedAlwaysAsIdentity().primaryKey(),
  name: text().notNull(),
  age: integer().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 } = 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 } = parse(userSelectSchema, rows[0]); // Will parse successfully

Views and enums are also supported.

import { pgEnum } from 'drizzle-orm/pg-core';
import { createSelectSchema } from 'drizzle-valibot';
import { parse } from 'valibot';

const roles = pgEnum('roles', ['admin', 'basic']);
const rolesSchema = createSelectSchema(roles);
const parsed: 'admin' | 'basic' = parse(rolesSchema, ...);

const usersView = pgView('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 } = parse(usersViewSchema, ...);

Insert schema

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

import { pgTable, text, integer } from 'drizzle-orm/pg-core';
import { createInsertSchema } from 'drizzle-valibot';
import { parse } from 'valibot';

const users = pgTable('users', {
  id: integer().generatedAlwaysAsIdentity().primaryKey(),
  name: text().notNull(),
  age: integer().notNull()
});

const userInsertSchema = createInsertSchema(users);

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

const user = { name: 'Jane', age: 30 };
const parsed: { name: string, age: number } = 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 { pgTable, text, integer } from 'drizzle-orm/pg-core';
import { createUpdateSchema } from 'drizzle-valibot';
import { parse } from 'valibot';

const users = pgTable('users', {
  id: integer().generatedAlwaysAsIdentity().primaryKey(),
  name: text().notNull(),
  age: integer().notNull()
});

const userUpdateSchema = createUpdateSchema(users);

const user = { id: 5, name: 'John' };
const parsed: { name?: string | undefined, age?: number | undefined } = parse(userUpdateSchema, user); // Error: `id` is a generated column, it can't be updated

const user = { age: 35 };
const parsed: { name?: string | undefined, age?: number | undefined } = 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 Valibot schema will overwrite it.

import { pgTable, text, integer, json } from 'drizzle-orm/pg-core';
import { createSelectSchema } from 'drizzle-valibot';
import { parse, pipe, maxLength, object, string } from 'valibot';

const users = pgTable('users', {
  id: integer().generatedAlwaysAsIdentity().primaryKey(),
  name: text().notNull(),
  bio: text(),
  preferences: json()
});

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

const parsed: {
  id: number;
  name: string,
  bio?: string | undefined;
  preferences: {
    theme: string;
  };
} = parse(userSelectSchema, ...);

Data type reference

pg.boolean();

mysql.boolean();

sqlite.integer({ mode: 'boolean' });

// Schema
boolean();

pg.date({ mode: 'date' });
pg.timestamp({ mode: 'date' });

mysql.date({ mode: 'date' });
mysql.datetime({ mode: 'date' });
mysql.timestamp({ mode: 'date' });

sqlite.integer({ mode: 'timestamp' });
sqlite.integer({ mode: 'timestamp_ms' });

// Schema
date();

pg.date({ mode: 'string' });
pg.timestamp({ mode: 'string' });
pg.cidr();
pg.inet();
pg.interval();
pg.macaddr();
pg.macaddr8();
pg.numeric();
pg.text();
pg.sparsevec();
pg.time();

mysql.binary();
mysql.date({ mode: 'string' });
mysql.datetime({ mode: 'string' });
mysql.decimal();
mysql.time();
mysql.timestamp({ mode: 'string' });
mysql.varbinary();

sqlite.numeric();
sqlite.text({ mode: 'text' });

// Schema
string();

pg.bit({ dimensions: ... });

// Schema
pipe(string(), regex(/^[01]+$/), maxLength(dimensions));

pg.uuid();

// Schema
pipe(string(), uuid());

pg.char({ length: ... });

mysql.char({ length: ... });

// Schema
pipe(string(), length(length));

pg.varchar({ length: ... });

mysql.varchar({ length: ... });

sqlite.text({ mode: 'text', length: ... });

// Schema
pipe(string(), maxLength(length));

mysql.tinytext();

// Schema
pipe(string(), maxLength(255)); // unsigned 8-bit integer limit

mysql.text();

// Schema
pipe(string(), maxLength(65_535)); // unsigned 16-bit integer limit

mysql.mediumtext();

// Schema
pipe(string(), maxLength(16_777_215)); // unsigned 24-bit integer limit

mysql.longtext();

// Schema
pipe(string(), maxLength(4_294_967_295)); // unsigned 32-bit integer limit

pg.text({ enum: ... });
pg.char({ enum: ... });
pg.varchar({ enum: ... });

mysql.tinytext({ enum: ... });
mysql.mediumtext({ enum: ... });
mysql.text({ enum: ... });
mysql.longtext({ enum: ... });
mysql.char({ enum: ... });
mysql.varchar({ enum: ... });
mysql.mysqlEnum(..., ...);

sqlite.text({ mode: 'text', enum: ... });

// Schema
enum(enum);

mysql.tinyint();

// Schema
pipe(number(), minValue(-128), maxValue(127), integer()); // 8-bit integer lower and upper limit

mysql.tinyint({ unsigned: true });

// Schema
pipe(number(), minValue(0), maxValue(255), integer()); // unsigned 8-bit integer lower and upper limit

pg.smallint();
pg.smallserial();

mysql.smallint();

// Schema
pipe(number(), minValue(-32_768), maxValue(32_767), integer()); // 16-bit integer lower and upper limit

mysql.smallint({ unsigned: true });

// Schema
pipe(number(), minValue(0), maxValue(65_535), integer()); // unsigned 16-bit integer lower and upper limit

pg.real();

mysql.float();

// Schema
pipe(number(), minValue(-8_388_608), maxValue(8_388_607)); // 24-bit integer lower and upper limit

mysql.mediumint();

// Schema
pipe(number(), minValue(-8_388_608), maxValue(8_388_607), integer()); // 24-bit integer lower and upper limit

mysql.float({ unsigned: true });

// Schema
pipe(number(), minValue(0), maxValue(16_777_215)); // unsigned 24-bit integer lower and upper limit

mysql.mediumint({ unsigned: true });

// Schema
pipe(number(), minValue(0), maxValue(16_777_215), integer()); // unsigned 24-bit integer lower and upper limit

pg.integer();
pg.serial();

mysql.int();

// Schema
pipe(number(), minValue(-2_147_483_648), maxValue(2_147_483_647), integer()); // 32-bit integer lower and upper limit

mysql.int({ unsigned: true });

// Schema
pipe(number(), minValue(0), maxValue(4_294_967_295), integer()); // unsgined 32-bit integer lower and upper limit

pg.doublePrecision();

mysql.double();
mysql.real();

sqlite.real();

// Schema
pipe(number(), minValue(-140_737_488_355_328), maxValue(140_737_488_355_327)); // 48-bit integer lower and upper limit

mysql.double({ unsigned: true });

// Schema
pipe(number(), minValue(0), maxValue(281_474_976_710_655)); // unsigned 48-bit integer lower and upper limit

pg.bigint({ mode: 'number' });
pg.bigserial({ mode: 'number' });

mysql.bigint({ mode: 'number' });
mysql.bigserial({ mode: 'number' });

sqlite.integer({ mode: 'number' });

// Schema
pipe(number(), minValue(-9_007_199_254_740_991), maxValue(9_007_199_254_740_991), integer()); // Javascript min. and max. safe integers

mysql.serial();

// Schema
pipe(number(), minValue(0), maxValue(9_007_199_254_740_991), integer()); // Javascript max. safe integer

pg.bigint({ mode: 'bigint' });
pg.bigserial({ mode: 'bigint' });

mysql.bigint({ mode: 'bigint' });

sqlite.blob({ mode: 'bigint' });

// Schema
pipe(bigint(), minValue(-9_223_372_036_854_775_808n), maxValue(9_223_372_036_854_775_807n)); // 64-bit integer lower and upper limit

mysql.bigint({ mode: 'bigint', unsigned: true });

// Schema
pipe(bigint(), minValue(0), maxValue(18_446_744_073_709_551_615n)); // unsigned 64-bit integer lower and upper limit

mysql.year();

// Schema
pipe(number(), minValue(1_901), maxValue(2_155), integer());

pg.geometry({ type: 'point', mode: 'tuple' });
pg.point({ mode: 'tuple' });

// Schema
tuple([number(), number()]);

pg.geometry({ type: 'point', mode: 'xy' });
pg.point({ mode: 'xy' });

// Schema
object({ x: number(), y: number() });

pg.halfvec({ dimensions: ... });
pg.vector({ dimensions: ... });

// Schema
pipe(array(number()), length(dimensions));

pg.line({ mode: 'abc' });

// Schema
object({ a: number(), b: number(), c: number() });

pg.line({ mode: 'tuple' });

// Schema
tuple([number(), number(), number()]);

pg.json();
pg.jsonb();

mysql.json();

sqlite.blob({ mode: 'json' });
sqlite.text({ mode: 'json' });

// Schema
const self = union([union([string(), number(), boolean(), null()]), array(lazy(() => self)), record(string(), lazy(() => self))]);

sqlite.blob({ mode: 'buffer' });

// Schema
custom<Buffer>((v) => v instanceof Buffer);

pg.dataType().array(...);

// Schema
pipe(array(baseDataTypeSchema), length(size));