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drizzle-orm-pg
Advanced tools
DrizzleORM is a TypeScript ORM library with a drizzle-kit CLI companion for automatic SQL migrations generation. Here you can find extensive docs for PostgreSQL module.
// postgresql
npm install drizzle-orm drizzle-orm-pg
npm install -D drizzle-kit
With drizzle-orm
you declare SQL schema in TypeScript. You can have either one schema.ts
file with all declarations or you can group them logically in multiple files. We prefer to use single file schema.
📦project
├ 📂src
│ ├ 📂data
│ │ └ 📜schema.ts
│ └ ...
├ ...
└ 📜package.json
## or multiple schema files
├ 📂data
├ 📜users.ts
├ 📜countries.ts
├ 📜cities.ts
├ 📜products.ts
├ 📜clients.ts
├ 📜enums.ts
└ 📜etc.ts
import { PgConnector, pgTable, serial, text, varchar } from "drizzle-orm-pg";
import { Pool } from "pg";
const users = pgTable("users", {
id: serial('id').primaryKey(),
fullName: text('full_name'),
phone: varchar('phone', { length: 256 }),
})
const pool = new Pool({ connectionString: "postgres://user:password@host:port/db" });
const connector = new PgConnector(pool);
const db = await connector.connect();
const users = await db.select(users);
import { PgConnector } from "drizzle-orm-pg";
import { Pool } from "pg";
const pool = new Pool({ connectionString: "postgres://postgres:password@127.0.0.1:5432/postgres" });
const pool = new Pool({
host: "127.0.0.1",
port: 5432,
user: "postgres",
password: "password",
database: "db_name",
});
const connector = new PgConnector(pool);
const db = await connector.connect();
This is how you declare SQL schema in schema.ts
. You can declare tables, indexes and constraints, foreign keys and enums. Please pay attention to export
keyword, they are mandatory if you'll be using drizzle-kit SQL migrations generator.
// declaring enum in database
export const popularityEnum = pgEnum("popularity", ["unknown", "known", "popular"]);
export const countries = pgTable("countries", {
id: serial("id").primaryKey(),
name: varchar("name", 256),
}, (table) => ({
nameIndex: index("name_idx", table.name, { unique: true });
})
);
export const cities = pgTable("cities", {
id: serial("id").primaryKey(),
name: varchar("name", 256),
countryId: integer("country_id").references(() => countries.id),
popularity: popularityEnum("popularity"),
})
The list of all column types. You can also create custom types - !!see here!!.
export const popularityEnum = pgEnum("popularity", ["unknown", "known", "popular"]);
popularityEnum("column_name") // declare enum column
smallint("...")
integer("...")
bigint("...", { mode: "number" | "bigint" })
boolean("...")
text("...");
text<"one" | "two" | "three">("...");
varchar("...");
varchar<"one" | "two" | "three">("...");
varchar("...", { length: 256 }); // with length limit
serial("...");
bigserial("...", { mode: "number" | "bigint" });
decimal("...", { precision: 100, scale: 2 });
numeric("...", { precision: 100, scale: 2 });
real("...")
doublePrecision("...")
json<...>("...");
json<string[]>("...");
jsonb<...>("...");
jsonb<string[]>("...");
time("...")
time("...", { precision: 6, withTimezone: true })
timestamp("...")
timestamp("...", { mode: "date" | "string", precision: 0..6, withTimezone: true })
timestamp("...").defaultNow()
date("...")
date("...", { mode: "string" | "date" })
interval("...")
interval("...", { fields: "day" | "month" | "..." , precision: 0..6 })
column.primaryKey()
column.notNull()
column.defaultValue(...)
Declaring indexes and foreign keys
import { foreignKey, index, integer, pgTable, serial, varchar } from "drizzle-orm-pg";
export const countries = pgTable("countries", {
id: serial("id").primaryKey(),
name: varchar("name", { length: 256 }),
population: integer("population"),
}, (table) => ({
nameIdx: index("name_idx", table.name), // one column
namePopulationIdx: index("name_population_idx", [table.name, table.population]), // multiple columns
uniqueIdx: index("unique_idx", table.name, { unique: true }), // unique index
})
);
export const cities = pgTable("cities", {
id: serial("id").primaryKey(),
name: varchar("name", { length: 256 }),
countryId: integer("country_id").references(() => countries.id), // inline foreign key
countryName: varchar("country_id"),
}, (table) => ({
// explicit foreign key with 1 column
countryFk: foreignKey(() => ({
columns: [table.countryId],
foreignColumns: [countries.id],
})),
// explicit foreign key with multiple columns
countryIdNameFk: foreignKey(() => ({
columns: [table.countryId, table.countryName],
foreignColumns: [countries.id, countries.name],
})),
}));
// list of all index params
unique?: boolean;
concurrently?: boolean;
only?: boolean;
using?: sql``; // sql expression
order?: 'asc' | 'desc';
nulls?: 'first' | 'last';
where?: sql``; // sql expression
Querying, sorting and filtering. We also support partial select.
...
import { PgConnector, pgTable, serial, text, varchar } from "drizzle-orm-pg";
import { and, asc, desc, eq, or } from "drizzle-orm/expressions";
const users = pgTable("users", {
id: serial("id").primaryKey(),
name: text("full_name"),
});
const connector = new PgConnector(...);
const db = await connector.connect();
await db.select(users);
await db.select(users).where(eq(users.id, 42));
// you can combine filters with eq(...) or or(...)
await db.select(users)
.where(and(eq(users.id, 42), eq(users.name, "Dan")));
await db.select(users)
.where(or(eq(users.id, 42), eq(users.id, 1)));
// partial select
const result = await db.select(users).fields({
mapped1: users.id,
mapped2: users.name,
});
const { mapped1, mapped2 } = result[0];
// limit offset & order by
await db.select(users).limit(10).offset(10);
await db.select(users).orderBy(asc(users.name));
await db.select(users).orderBy(desc(users.name));
// you can pass multiple order args
await db.select(users).orderBy(asc(users.name), desc(users.name));
// list of all filter operators
eq(column, value)
eq(column1, column2)
ne(column, value)
ne(column1, column2)
notEq(column, value)
less(column, value)
lessEq(column, value)
gt(column, value)
gt(column1, column2)
gte(column, value)
gte(column1, column2)
lt(column, value)
lt(column1, column2)
lte(column, value)
lte(column1, column2)
isNull(column)
isNotNull(column)
inArray(column, values[])
inArray(column, sqlSubquery)
notInArray(column, values[])
notInArray(column, sqlSubquery)
exists(sqlSubquery)
notExists(sqlSubquery)
between(column, min, max)
notBetween(column, min, max)
like(column, value)
like(column, value)
ilike(column, value)
notIlike(column, value)
not(sqlExpression)
and(exressions: Expr[])
or(exressions: Expr[])
Inserting
import { PgConnector, pgTable, serial, text, timestamp } from "drizzle-orm-pg";
const users = pgTable("users", {
id: serial("id").primaryKey(),
name: text("name"),
createdAt: timestamp("created_at"),
});
const connector = new PgConnector(...);
const db = await connector.connect();
await db.insert(users
.values({
name: "Andrew",
createdAt: new Date(),
});
// accepts vararg of items
await db.insert(users)
.values(
{
name: "Andrew",
createdAt: new Date(),
},
{
name: "Dan",
createdAt: new Date(),
},
));
await db.insert(users)
.values(...[
{
name: "Andrew",
createdAt: new Date(),
},
{
name: "Dan",
createdAt: new Date(),
},
]);
Update and Delete
await db.update(users)
.set({ name: 'Mr. Dan' })
.where(eq(usersTable.name, 'Dan'));
await db.delete(users)
.where(eq(usersTable.name, 'Dan'));
Last but not least. Probably the most powerful feature in the library🚀 Many-to-one
import { PgConnector, pgTable, serial, text, timestamp } from "drizzle-orm-pg";
const cities = pgTable("cities", {
id: serial("id").primaryKey(),
name: text("name"),
});
const users = pgTable("users", {
id: serial("id").primaryKey(),
name: text("name"),
cityId: integer("city_id").references(() => cities.id)
});
const connector = new PgConnector(...);
const db = await connector.connect();
const result = db.select(cities).leftJoin(users, eq(cities2.id, users2.cityId))
Many-to-many
const users = pgTable("users", {
id: serial("id").primaryKey(),
name: text("name"),
});
const chatGroups = pgTable("chat_groups", {
id: serial("id").primaryKey(),
name: text("name"),
});
const usersToChatGroups = pgTable("usersToChatGroups", {
userId: integer("user_id").notNull().references(() => users.id),
groupId: integer("group_id").notNull().references(() => chatGroups.id),
});
...
const connector = new PgConnector(...);
const db = await connector.connect();
// querying user group with id 1 and all the participants(users)
db.select(usersToChatGroups)
.leftJoin(users, eq(usersToChatGroups.userId, users.id))
.leftJoin(chatGroups, eq(usersToChatGroups.groupId, chatGroups.id));
await db.select(cities).fields({
id: cities.id,
cityName: cities.name
}).leftJoin(users, eq(users.cityId, cities.id));
DrizzleKit - is a CLI migrator tool for DrizzleORM. It is probably one and only tool that lets you completely automatically generate SQL migrations and covers ~95% of the common cases like delitions and renames by prompting user input.
Check out the docs for DrizzleKit
For schema file:
import { AbstractTable } from "drizzle-orm";
export const users = pgTable("users", {
id: serial("id").primaryKey(),
fullName: varchar("full_name", { length: 256 }),
}, (table)=>({
nameIdx: index("name_idx", table.fullName),
}));
export const authOtps = pgTable("auth_otp", {
id: serial("id").primaryKey(),
phone: varchar("phone", { length: 256 }),
userId: integer("user_id").foreignKey(() => users.id),
}
It will generate:
CREATE TABLE IF NOT EXISTS auth_otp (
"id" SERIAL PRIMARY KEY,
"phone" character varying(256),
"user_id" INT
);
CREATE TABLE IF NOT EXISTS users (
"id" SERIAL PRIMARY KEY,
"full_name" character varying(256)
);
DO $$ BEGIN
ALTER TABLE auth_otp ADD CONSTRAINT auth_otp_user_id_fkey FOREIGN KEY ("user_id") REFERENCES users(id);
EXCEPTION
WHEN duplicate_object THEN null;
END $$;
CREATE INDEX IF NOT EXISTS users_full_name_index ON users (full_name);
rawQuery
executionconst res: QueryResult<any> = await db.execute(sql`SELECT * FROM users WHERE user.id = ${userId}`)
// it will automatically run a parametrized query!
FAQs
Drizzle ORM package for PostgreSQL database
The npm package drizzle-orm-pg receives a total of 218 weekly downloads. As such, drizzle-orm-pg popularity was classified as not popular.
We found that drizzle-orm-pg demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 3 open source maintainers collaborating on the project.
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