ORM and query builder

OrchidORM consists of a query builder (such as Knex or Kysely) + layer on top of it for defining, querying and utilizing relations (as in Prisma).

The query builder is for building and executing SQL queries, such as select, create, update, and delete.

ORM allows defining belongsTo, hasMany and other relations, select and join them, create/update/delete records together with their related records and more.

setup

Install by running:

npm i orchid-orm
# or
pnpm i orchid-orm

orchidORM is an entry function of the ORM.

The first argument is a connection options object, the ORM-specific options are described below, see also options for a pg adapter that could be passed via the same object: client options + pool options.

The second argument is an object where keys are names and values are table classes (see next section for defining a table class).

Returns an instance with tables and some specific functions prefixed with a $ sign to not overlap with your tables.

import { orchidORM } from 'orchid-orm';

// import all tables
import { UserTable } from './tables/user';
import { MessageTable } from './tables/message';

export const db = orchidORM(
  {
    // details for databaseURL are below
    databaseURL: process.env.DATABASE_URL,

    // ssl and schema can be set here or as databaseURL parameters:
    ssl: true,
    schema: 'my_schema',

    // retry connecting when db is starting up, no retry by default,
    // see `connectRetry` section below
    connectRetry: true,

    // option for logging, false by default
    log: true,

    // automatically create foreign keys for relations
    // see `autoForeignKeys` section below
    autoForeignKeys: true,

    // option to create named prepared statements implicitly, false by default
    autoPreparedStatements: true,
  },
  {
    user: UserTable,
    message: MessageTable,
  },
);

If needed, you can pass Adapter instance instead of connection options:

import { orchidORM, Adapter } from 'orchid-orm';

export const db = orchidORM(
  {
    adapter: new Adapter({ databaseURL: process.env.DATABASE_URL }),
    log: true,
  },
  {
    // ...tables
  },
);

define a base table

Define a base table class to extend from, this code should be separated from the db file:

import { createBaseTable } from 'orchid-orm';

export const BaseTable = createBaseTable();

export const { sql } = BaseTable;

sql is exported here because this way it can be linked with custom columns defined in the BaseTable.

Optionally, you can customize column types behavior here for all future tables:

import { createBaseTable } from 'orchid-orm';
// optionally, use one of the following validation integrations:
import { zodSchemaConfig } from 'orchid-orm-schema-to-zod';
import { valibotSchemaConfig } from 'orchid-orm-valibot';

export const BaseTable = createBaseTable({
  // set to true if columns in database are in snake_case
  snakeCase: true,

  // optional, but recommended: derive and use validation schemas from your tables
  schemaConfig: zodSchemaConfig,
  // or
  schemaConfig: valibotSchemaConfig,

  columnTypes: (t) => ({
    // by default timestamp is returned as a string, override to a Data
    timestamp: () => t.timestamp().asDate(),

    // define custom types in one place inside BaseTable to use them later in tables
    myEnum: () => t.enum('myEnum', ['one', 'two', 'three']),
  }),
});

export const { sql } = BaseTable;

See override column types for details of customizing columns.

Tables are defined as classes table and columns required properties:

table is a table name and columns is for defining table column types (see Columns schema document for details).

Note that the table property is marked as readonly, this is needed for TypeScript to check the usage of the table in queries.

import { Selectable, Insertable, Updatable } from 'orchid-orm';
// import BaseTable from a file from the previous step:
import { BaseTable } from './baseTable';

// export types of User for various use-cases:
export type User = Selectable<UserTable>;
export type UserNew = Insertable<UserTable>;
export type UserUpdate = Updateable<UserTable>;

export class UserTable extends BaseTable {
  readonly table = 'user';
  columns = this.setColumns((t) => ({
    id: t.identity().primaryKey(),
    name: t.string(),
    password: t.string(),
    ...t.timestamps(),
  }));
}

After defining the table place it in the main db file as in setup step:

import { UserTable } from './tables/user';

export const db = orchidORM(
  {
    databaseURL: process.env.DATABASE_URL,
  },
  {
    user: UserTable,
  },
);

And now it's available for querying:

import { db } from './db';

const user = await db.user.findBy({ name: 'John' });

Don't use table classes directly, this won't work:

// error
await UserTable.findBy({ name: 'John' });

snakeCase can be overridden for a table:

import { BaseTable } from './baseTable';

export class SnakeCaseTable extends BaseTable {
  readonly table = 'table';
  // override snakeCase:
  snakeCase = true;
  columns = this.setColumns((t) => ({
    // snake_column in db
    snakeColumn: t.text(),
  }));
}

define a table class

Table classes are similar to Models or Entities in other ORMs. The key difference is that Model/Entity is meant to also contain business logic, while a table in OrchidORM is only meant for configuring a database table columns, relations, allows to define softDelete, query hooks (aka callbacks), so to define the database table and querying specifics, but not for app's logic.

import { BaseTable, sql } from './baseTable';
import { PostTable } from './post.table';
import { SubscriptionTable } from './subscription.table';

export class UserTable extends BaseTable {
  schema = 'customSchema';
  readonly table = 'user';

  // The comment will be persisted to database's table metadata.
  comment = 'this is a table for storing users';

  // If you don't define a primary key, OrchidORM will remind you about it with an error,
  // Set `noPrimaryKey = true` if you really want a table without a primary key.
  noPrimaryKey = true;

  // You can set `snakeCase` for all tables in the `BaseTable`,
  // or you can enable it for an individual table.
  snakeCase = true;

  // For full text search: 'english' is the default, you can set it to other langauge
  language = 'spanish';

  // For "soft delete" functionality
  readonly softDelete = true; // or a string with a column name

  columns = this.setColumns(
    (t) => ({
      id: t.uuid().primaryKey(),
      firstName: t.string(),
      lastName: t.string(),
      username: t.string().unique(),
      email: t.string().email().unique(),
      deletedAt: t.timestamp().nullable(),
      subscriptionProvider: t.enum('paymentProvider', ['stripe', 'paypal']),
      subscriptionId: t.uuid(),
      startDate: t.timestamp(),
      endDate: t.timestamp(),
      ...t.timestamps(),
    }),
    // The second function is optional, it is for composite primary keys, indexes, etc.
    // For a single thing no need to wrap it in array:
    // (t) => t.index(['role', 'deletedAt']),
    // For multiple things, return array:
    (t) => [
      // composite primary key
      t.primaryKey(['firstName', 'lastName']),
      // composite unique index
      t.unique(['subscriptionProvider', 'subscriptionId']),
      // composite foreign key
      t.foreignKey(
        ['subscriptionProvider', 'subscriptionId'],
        () => SubscriptionTable,
        ['provider', 'id'],
      ),
      // postgres `EXCLUDE` constraint: do not let the timeranges of different rows to overlap
      t.exclude([
        { expression: `tstzrange("startDate", "endDate")`, with: '&&' },
      ]),
      // database-level check
      t.check(sql`username != email`),
    ],
  );

  // To define "virtual" columns that will be computed on a database side with a custom SQL
  computed = this.setComputed({
    fullName: (q) =>
      sql`${q.column('firstName')} || ' ' || ${q.column('lastName')}`.type(
        (t) => t.string(),
      ),
  });

  // The `defaut` scope will be applied to all queries,
  // you can define additional scopes to use them when building queries.
  scopes = this.setScopes({
    default: (q) => q.where({ hidden: false }),
    active: (q) => q.where({ active: true }),
  });

  relations = {
    posts: this.hasMany(() => PostTable, {
      columns: ['id'],
      references: ['authorId'],
    }),
  };
}

table and softDelete must be readonly for TS to recognize them properly, other properties don't have to be readonly.
for configuring columns see Columns schema overview.
documentation for composite primary keys, indexes, exclusions, foreign keys, is residing in migration column methods
for defining table's relations see Modeling relations.
check out soft delete
for computed see Computed columns.
for scopes see Scopes.

All table files must be linked into orchidORM instance, as was shown above in the setup section.

When trying OrchidORM on an existing project that already has a database with tables, you can run a command to generate code for tables and a migration for it by running db pull.

generate migrations

After defining, modifying, or deleting tables or columns in the app code, run db g command to generate corresponding migration:

shell

npm run db g
# or
pnpm db g

Optionally, provide a migration file name:

shell

pnpm db g create-some-tables

It automatically calls db up to apply existing migrations when it starts.

Pass up argument if you'd like to apply the migration right after it generates:

shell

pnpm db g create-some-tables up

# or, with a default "generated" file name
pnpm db g up

WARNING

Use this approach only if is the database can be fully managed by your application.

This tool will drop all database entities (schemas, tables, etc.) that aren't referenced by your application's code.

This tool will automatically write a migration to create, drop, change, rename database items.

When you're renaming a table, column, enum, or a schema in the code, it will interactively ask via the terminal whether you want to create a new item or to rename the old one. Such as when renaming a column, you may choose to drop the old one and create a new (data will be lost), or to rename the existing (data is preserved).

If you don't set a custom constraint name for indexes, primary keys, foreign keys, exclude constraints, they have a default name such as table_pkey, table_column_idx, table_someId_fkey, table_column_exclude. When renaming a table, the table primary key will be also renamed. When renaming a column, its index or foreign key will be renamed as well.

The tool handles migration generation for tables, columns, schemas, enums, primary keys, foreign keys, indexes, database checks, exclude constraints, extensions, domain types.

Please let me know by opening an issue if you'd like to have a support for additional database features such as views, triggers, procedures.

Postgres extensions

To enable a postgres extension such as citext, list it in the extensions config in the orchidORM call:

export const db = orchidORM(
  {
    databaseURL: process.env.DATABASE_URL,
    extensions: [
      // just the extension name for a recent version
      'citext',

      // you can specify a certain version
      { name: 'citext', version: '1.2.3' },

      // define extension only for specific schema:
      'mySchema.citext',
    ],
  },
  { ...tables },
);

Run the migration generator (npm run g) and apply the migration (npm run db up).

In the case when the extension automatically creates a table, which is the case for the postgis, list its tables in generatorIgnore config, so the migration generator won't consider it to be redundant and won't drop it:

export const db = orchidORM(
  {
    databaseURL: process.env.DATABASE_URL,
    extensions: ['postgis'],
    generatorIgnore: {
      // spatial_ref_sys is automatically created by postgis
      tables: ['spatial_ref_sys'],
    },
  },
  { ...tables },
);

Postgres domains

Domain is a custom database type that is based on other type and can include NOT NULL and a CHECK (see postgres tutorial).

Define a domain as follows for the migration generator to write a corresponding migration:

import { sql } from './baseTable';

export const db = orchidORM(
  {
    databaseURL: process.env.DATABASE_URL,
    domains: {
      domainName: (t) =>
        t
          .integer()
          .nullable()
          .check(sql`VALUE = 69`),

      // domain residing in a certain schema:
      'mySchema.domainName': (t) => t.integer().default(123),
    },
  },
  { ...tables },
);

table utility types

Utility types available for tables:

Selectable: record type returned from a database and parsed with column parsers. For instance, when using asDate for a timestamp column, Selectable will have Date type for this column.
Insertable: type of object you can create a new record with. Column type may be changed by encode function. Insertable type for timestamp column is a union string | number | Date.
Updatable: the same as Insertable but all fields are optional.
Queryable: disregarding if parse or encode functions are specified for the column, types that are accepted by where and other query methods remains the same. Use this type to accept data to query the table with.

import { Selectable, Insertable, Updatable, Queryable } from 'orchid-orm';
import { BaseTable } from './baseTable';

export type User = Selectable<UserTable>;
export type UserNew = Insertable<UserTable>;
export type UserUpdate = Updatable<UserTable>;
export type UserQueryable = Queryable<UserTable>;

export class UserTable extends BaseTable {
  readonly table = 'user';
  columns = this.setColumns((t) => ({
    ...userColumns,
  }));
}

createDb

If you'd like to use the query builder of OrchidORM as a standalone tool, install pqb package and use createDb to initialize it.

As Orchid ORM focuses on ORM usage, docs examples mostly demonstrates how to work with ORM-defined tables, but everything that's not related to table relations should also work with pqb query builder on its own.

It is accepting the same options as orchidORM + options of createBaseTable:

import { createDb } from 'orchid-orm';

import { zodSchemaConfig } from 'orchid-orm-schema-to-zod';
// or
import { SchemaConfig } from 'orchid-orm-valibot';

const db = createDb({
  // db connection options
  databaseURL: process.env.DATABASE_URL,
  log: true,

  // columns in db are in snake case:
  snakeCase: true,

  // override default SQL for timestamp, see `nowSQL` above
  nowSQL: `now() AT TIME ZONE 'UTC'`,

  // optional, but recommended: makes zod schemas for your tables
  schemaConfig: zodSchemaConfig,
  // or
  schemaConfig: valibotSchemaConfig,

  // override column types:
  columnTypes: (t) => ({
    // by default timestamp is returned as a string, override to a number
    timestamp: () => t.timestamp().asNumber(),
  }),
});

After db is defined, construct queryable tables in such way:

export const User = db('user', (t) => ({
  id: t.identity().primaryKey(),
  name: t.string(),
  password: t.string(),
  age: t.integer().nullable(),
  ...t.timestamps(),
}));

Now the User can be used for making type-safe queries:

const users = await User.select('id', 'name') // only known columns are allowed
  .where({ age: { gte: 20 } }) // gte is available only on the numeric field, and the only number is allowed
  .order({ createdAt: 'DESC' }) // type safe as well
  .limit(10);

// users array has a proper type of Array<{ id: number, name: string }>

The optional third argument is for table options:

const Table = db('table', (t) => ({ ...columns }), {
  // provide this value if the table belongs to a specific database schema:
  schema: 'customTableSchema',
  // override `log` option of `createDb`:
  log: true, // boolean or object described `createdDb` section
  logger: { ... }, // override logger
  noPrimaryKey: 'ignore', // override noPrimaryKey
  snakeCase: true, // override snakeCase
})

databaseURL option

databaseURL has the following format:

postgres://user:password@localhost:5432/dbname

schema and ssl option can be specified as a parameter:

postgres://user:password@localhost:5432/dbname?schema=my_schema&ssl=true

If schema is set and is different from public, the SET search_path = schema query will be performed before the first query run per each database connection.

snakeCase option

By default, all column names are expected to be named in camelCase.

If only some columns are named in snake_case, you can use name method to indicate it:

import { BaseTable } from './baseTable';

class Table extends BaseTable {
  readonly table = 'table';
  columns = this.setColumns((t) => ({
    id: t.identity().primaryKey(),
    camelCase: t.integer(),
    snakeCase: t.name('snake_case').integer(),
  }));
}

// all columns are available by a camelCase name,
// even though `snakeCase` has a diferent name in the database
const records = await table.select('camelCase', 'snakeCase');

Set snakeCase to true if you want all columns to be translated automatically into a snake_case.

Column name can still be overridden with a name method.

import { createBaseTable } from 'orchid-orm';

export const BaseTable = createBaseTable({
  snakeCase: true,
});

class Table extends BaseTable {
  readonly table = 'table';
  columns = this.setColumns((t) => ({
    id: t.identity().primaryKey(),
    // camelCase column requires an explicit name
    camelCase: t.name('camelCase').integer(),
    // snakeCase is snakerized automatically when generating SQL
    snakeCase: t.integer(),
  }));
}

// result is the same as before
const records = await table.select('camelCase', 'snakeCase');

log option

The log option is false by default, true or custom object can be provided:

type LogOption = {
  // for colorful log, true by default
  colors?: boolean;

  // callback to run before query
  // Query is a query object, sql is { text: string, values: unknown[] }
  // returned value will be passed to afterQuery and onError
  beforeQuery?(sql: Sql): unknown;

  // callback to run after query, logData is data returned by beforeQuery
  afterQuery?(sql: Sql, logData: unknown): void;

  // callback to run in case of error
  onError?(error: Error, sql: Sql, logData: unknown): void;
};

The log will use console.log and console.error by default, it can be overridden by passing the logger option:

export const db = orchidORM(
  {
    databaseURL: process.env.DATABASE_URL,
    log: true,
    logger: {
      log(message: string): void {
        // ...
      },
      error(message: string): void {
        // ...
      },
    },
  },
  {
    // ...tables
  },
);

autoForeignKeys

In general, it's a good practice to always define database-level foreign keys between related tables, so the database guarantees data integrity, and a record cannot mistakenly have an id of a record that does not exist.

Adding autoForeignKeys: true option to createBaseTable will automatically generate foreign keys based on defined relations (in the case you're using migration generator).

You can provide foreign key options instead of true to be used by all auto-generated foreign keys.

import { createBaseTable } from 'orchid-orm';

export const BaseTable = createBaseTable({
  autoForeignKeys: true, // with default options

  // or, you can provide custom options
  autoForeignKeys: {
    // all fields are optional
    match: 'FULL', // 'SIMPLE' by default, can be 'FULL', 'PARTIAL', 'SIMPLE'.
    onUpdate: 'CASCADE', // 'NO ACTION' by default, can be 'NO ACTION', 'RESTRICT', 'CASCADE', 'SET NULL', 'SET DEFAULT'.
    onDelete: 'CASCADE', // same as `onUpdate`.
    dropMode: 'CASCADE', // for the down migration, 'RESTRICT' is the default, can be 'CASCADE' or 'RESTRICT'.
  },
});

When this is enabled, you can disable it for a specific table. And when this is disabled globally, you can enable it only for a specific table in the same way.

import { BaseTable } from './baseTable';

export class MyTable extends BaseTable {
  autoForeignKey = false; // disable only for this table
  autoForeignKey = { onUpdate: 'RESTRICT' }; // or, override options only for this table
}

Auto foreign keys can also be enabled, disabled, overridden for a concrete relation:

import { BaseTable } from './baseTable';

export class MyTable extends BaseTable {
  relations = {
    btRel: this.belongsTo(() => OtherTable, {
      columns: ['otherId'],
      references: ['id'],

      // disable for this relation
      foreignKey: false,
      // or, customize options for this relation
      foreignKey: {
        onUpdate: 'RESTRICT',
      },
    }),

    habtmRel: this.hasAndBelongsToMany(() => OtherTable, {
      columns: ['id'],
      references: ['myId'],

      // disable foreign key from the join table to this table
      foreignKey: false,

      through: {
        table: 'joinTable',
        columns: ['otherId'],
        references: ['id'],

        // customize foreign key from the join table to the other table
        foreignKey: {
          onUpdate: 'RESTRICT',
        },
      },
    }),
  };
}

connectRetry

This option may be useful in CI when database container has started, CI starts performing next steps, migrations begin to apply though database may be not fully ready for connections yet.

Set connectRetry: true for the default backoff strategy. It performs 10 attempts starting with 50ms delay and increases delay exponentially according to this formula:

(factor, defaults to 1.5) ** (currentAttempt - 1) * (delay, defaults to 50)

So the 2nd attempt will happen in 50ms from start, 3rd attempt in 125ms, 3rd in 237ms, and so on.

You can customize max attempts to be made, factor multiplier and the starting delay by passing:

const options = {
  databaseURL: process.env.DATABASE_URL,
  connectRetry: {
    attempts: 15, // max attempts
    strategy: {
      delay: 100, // initial delay
      factor: 2, // multiplier for the formula above
    }
  }
};

rakeDb(options, { ... });

You can pass a custom function to strategy to customize delay behavior:

import { setTimeout } from 'timers/promises';

const options = {
  databaseURL: process.env.DATABASE_URL,
  connectRetry: {
    attempts: 5,
    stragegy(currentAttempt: number, maxAttempts: number) {
      // linear: wait 100ms after 1st attempt, then 200m after 2nd, and so on.
      return setTimeout(currentAttempt * 100);
    },
  },
};

nowSQL option

For the specific case you can use nowSQL option to specify SQL to override the default value of timestamps() method.

If you're using timestamp and not timestampNoTZ there is no problem, or if you're using timestampNoTZ in a database where time zone is UTC there is also no problem, but if you're using timestampNoTZ in a database with a different time zone, and you still want updatedAt and createdAt columns to automatically be saved with a current time in UTC, you can specify the nowSQL for the base table:

import { createBaseTable } from 'orchid-orm';

export const BaseTable = createBaseTable({
  nowSQL: `now() AT TIME ZONE 'UTC'`,

  // ...other options
});

This value is used:

for updatedAt column when updating a record
for the default value updatedAt and createdAt columns in a database, applied in the migrations

It's required to specify a baseTable parameter of rakeDb to make it work in the migrations.

By default, Orchid ORM is using now() for a timestamp value of updatedAt and createdAt, in the example above we override it to now() AT TIME ZONE 'UTC' so it produces UTC timestamp for timestampNoTZ columns even in database in different time zone.

autoPreparedStatements option

This option was meant to speed up the queries, but benchmarks cannot prove this, so simply ignore this option for now.

pg node module used under the hood is performing "unnamed" prepared statements by default (link to Postgres details about this).

When the option is set to true, the query builder will generate a name for each different query to make the statement named.

noPrimaryKey

All tables should have a primary key. Even if it is a join table, it should have a composite primary key consisting of foreign key columns.

If you forgot to define a primary key, ORM will send a friendly remained by throwing an error.

Disable the check for a specific table by setting noPrimaryKey property:

import { BaseTable } from './baseTable';

export class NoPrimaryKeyTable extends BaseTable {
  readonly table = 'table';
  noPrimaryKey = true; // set to `true` to ignore absence of primary key
  columns = this.setColumns((t) => ({
    // ...no primary key defined
  }));
}

Or, you can override this behavior for all tables by placing noPrimaryKey option into orchidORM config:

ignore will disable the check, warning will print a warning instead of throwing error.

// ignore absence of primary keys for all tables
const db = orchidORM(
  {
    databaseURL: process.env.DATABASE_URL,
    noPrimaryKey: 'ignore',
  },
  {
    // ...tables
  },
);

// print a warning for all tables without primary key
const db2 = orchidORM(
  {
    databaseURL: process.env.DATABASE_URL,
    noPrimaryKey: 'warning',
  },
  {
    // ...tables
  },
);

softDelete

softDelete configures the table to set deletedAt to current time instead of deleting records. All queries on such table will filter out deleted records by default.

import { BaseTable } from './baseTable';

export class SomeTable extends BaseTable {
  readonly table = 'some';
  columns = this.setColumns((t) => ({
    id: t.identity().primaryKey(),
    deletedAt: t.timestamp().nullable(),
  }));

  // true is for using `deletedAt` column
  readonly softDelete = true;
  // or provide a different column name
  readonly softDelete = 'myDeletedAt';
}

const db = orchidORM(
  { databaseURL: '...' },
  {
    someTable: SomeTable,
  },
);

// deleted records are ignored by default
const onlyNonDeleted = await db.someTable;

includeDeleted disables the default deletedAt filter:

const allRecords = await db.someTable.includeDeleted();

delete behavior is altered:

await db.someTable.find(1).delete();
// is equivalent to:
await db.someTable.find(1).update({ deletedAt: sql`now()` });

hardDelete deletes records bypassing the softDelete behavior:

await db.someTable.find(1).hardDelete();

scopes

This feature allows defining a set of query modifiers to use it later. Only where conditions can be set in a scope. If you define a scope with name default, it will be applied for all table queries by default.

import { BaseTable } from './baseTable';

export class SomeTable extends BaseTable {
  readonly table = 'some';
  columns = this.setColumns((t) => ({
    id: t.identity().primaryKey(),
    hidden: t.boolean(),
    active: t.boolean(),
  }));

  scopes = this.setScopes({
    default: (q) => q.where({ hidden: false }),
    active: (q) => q.where({ active: true }),
  });
}

const db = orchidORM(
  { databaseURL: '...' },
  {
    some: SomeTable,
  },
);

// the default scope is applied for all queries:
const nonHiddenRecords = await db.some;

scope

Use the scope method to apply a pre-defined scope.

// use the `active` scope that is defined in the table:
await db.some.scope('active');

unscope

Remove conditions that were added by the scope from the query.

// SomeTable has a default scope, ignore it for this query:
await db.some.unscope('default');

computed columns

import { BaseTable, sql } from './baseTable';

export class UserTable extends BaseTable {
  readonly table = 'user';
  columns = this.setColumns((t) => ({
    id: t.identity().primaryKey(),
    firstName: t.string(),
    lastName: t.string(),
  }));

  computed = this.setComputed({
    fullName: () =>
      sql`${q.column('firstName')} || ' ' || ${q.column('lastName')}`.type(
        (t) => t.string(),
      ),
  });
}

setComputed takes an object where keys are computed column names, and values are functions returning raw SQL.

Use q.column as shown above to reference a table column, it will be prefixed with a correct table name even if the table is joined under a different name.

Computed columns are not selected by default, only on demand:

const a = await db.user.take();
a.fullName; // not selected

const b = await db.user.select('*', 'fullName');
b.fullName; // selected

// Table post belongs to user as an author.
// it's possible to select joined computed column:
const posts = await db.post
  .join('author')
  .select('post.title', 'author.fullName');

SQL query can be generated dynamically based on the current request context.

Imagine we are using AsyncLocalStorage to keep track of current user's language.

And we have articles translated to different languages, each article has title_en, title_uk, title_be and so on.

We can define a computed title by passing a function into sql method:

import { sql } from './baseTable';

type Locale = 'en' | 'uk' | 'be';
const asyncLanguageStorage = new AsyncLocalStorage<Locale>();
const defaultLocale: Locale = 'en';

export class ArticleTable extends BaseTable {
  readonly table = 'article';
  columns = this.setColumns((t) => ({
    id: t.identity().primaryKey(),
    title_en: t.text(),
    title_uk: t.text().nullable(),
    title_be: t.text().nullable(),
  }));

  computed = this.setComputed({
    title: () =>
      // `sql` accepts a callback to generate a new query on every run
      sql(() => {
        // get locale dynamically based on current storage value
        const locale = asyncLanguageStorage.getStore() || defaultLocale;

        // use COALESCE in case when localized title is NULL, use title_en
        return sql`COALESCE(
            ${q.column(`title_${locale}`)},
            ${q.column(`title_${defaultLocale}`)}
          )`;
      }).type((t) => t.text()),
  });
}

$query

Use $query to perform raw SQL queries.

const value = 1;

// it is safe to interpolate inside the backticks (``):
const result = await db.$query<{ one: number }>`SELECT ${value} AS one`;
// data is inside `rows` array:
result.rows[0].one;

If the query is executing inside a transaction, it will use the transaction connection automatically.

await db.$transaction(async () => {
  // both queries will execute in the same transaction
  await db.$query`SELECT 1`;
  await db.$query`SELECT 2`;
});

Alternatively, provide a raw SQL object created with the sql function:

import { sql } from './baseTable';

// it is NOT safe to interpolate inside a simple string, use `values` to pass the values.
const result = await db.$query<{ one: number }>(
  sql({
    raw: 'SELECT $value AS one',
    values: {
      value: 123,
    },
  }),
);

// data is inside `rows` array:
result.rows[0].one;

$queryArrays

The same as the $query, but returns an array of arrays instead of objects:

const value = 1;

// it is safe to interpolate inside the backticks (``):
const result = await db.$queryArrays<[number]>`SELECT ${value} AS one`;
// `rows` is an array of arrays:
const row = result.rows[0];
row[0]; // our value

$from

Use $from to build a queries around sub queries similar to the following:

const subQuery = db.someTable.select('name', {
  relatedCount: (q) => q.related.count(),
});

const result = await db
  .$from(subQuery)
  .where({ relatedCount: { gte: 5 } })
  .limit(10);

It is the same from method as available in the query builder, it also can accept multiple sources.

$close

Call $clone to end a database connection:

await db.$close();

For a standalone query builder, the method is close.

ORM and query builder ​

setup ​

define a base table ​

define a table class ​

generate migrations ​

Postgres extensions ​

Postgres domains ​

table utility types ​

createDb ​

databaseURL option ​

snakeCase option ​

log option ​

autoForeignKeys ​

connectRetry ​

nowSQL option ​

autoPreparedStatements option ​

noPrimaryKey ​

softDelete ​

scopes ​

scope ​

unscope ​

computed columns ​

$query ​

$queryArrays ​

$from ​

$close ​

ORM and query builder

setup

define a base table

define a table class

generate migrations

Postgres extensions

Postgres domains

table utility types

createDb

databaseURL option

snakeCase option

log option

autoForeignKeys

connectRetry

nowSQL option

autoPreparedStatements option

noPrimaryKey

softDelete

scopes

scope

unscope

computed columns

$query

$queryArrays

$from

$close