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@alphatique/ducky

v1.1.11

Published

ORM for DuckDB

Readme

@alphatique/ducky

license npm npm downloads

An ORM library for DuckDB Wasm.

  • Type-safe and type inference
  • Protected from SQL injection

Installation

# Using npm
npm install @alphatique/ducky

# Using yarn
yarn add @alphatique/ducky

# Using pnpm
pnpm add @alphatique/ducky

Usage

Schema Definition

First, define your database schema using the provided schema builder:

// schema.ts
import {
	createEnum,
	createTable,
	integer,
	text,
} from '@alphatique/ducky/schema';

export const userStatus = createEnum('user_status', ['active', 'inactive']);

export const user = createTable('user', {
	id: integer('id').primaryKey(),
	name: text('name').notNull(),
	status: userStatus('status').notNull(),
});

Basic Setup

[!IMPORTANT] The initialization process varies depending on your bundler (webpack, vite, etc.). For detailed instructions on how to initialize DuckDB Wasm with your specific bundler, please refer to the official DuckDB Wasm documentation.

Here's an example using Vite:

import { createDucky } from '@alphatique/ducky';

// Import DuckDB Wasm bundles
import eh_worker from '@duckdb/duckdb-wasm/dist/duckdb-browser-eh.worker.js?url';
import mvp_worker from '@duckdb/duckdb-wasm/dist/duckdb-browser-mvp.worker.js?url';
import duckdb_wasm_eh from '@duckdb/duckdb-wasm/dist/duckdb-eh.wasm?url';
import duckdb_wasm from '@duckdb/duckdb-wasm/dist/duckdb-mvp.wasm?url';

// Import schema definition
import * as schema from './schema';

// Create Ducky instance
const ducky = createDucky({
    schema,
    bundles: {
        mvp: {
            mainModule: duckdb_wasm,
            mainWorker: mvp_worker,
        },
        eh: {
            mainModule: duckdb_wasm_eh,
            mainWorker: eh_worker,
        },
    },
    logger: 'console',
});

Type Inference

You can infer types from your schema using the $Infer property:

type User = typeof ducky.$inferSelectable.user;

This will give you the correct type for your table's data structure, which you can use for type safety when inserting or querying data.

Select

const users = await ducky.selectFrom('user').selectAll().execute();

Insert

JS Object

await ducky
    .insertInto('user')
    .values([
        {
            id: 1,
            name: 'John',
            status: 'active',
        },
        {
            id: 2,
            name: 'Jane',
            status: 'inactive',
        },
    ])
    .execute();

Parquet

await ducky.insertBlob('user', 'parquet', [parquetFile]);

Delete

await ducky.deleteFrom('user').where('status', '=', 'inactive').execute();

Supported Data Types

Scalar Types

  • BIGINT
  • BOOLEAN
  • DATE
  • DOUBLE
  • FLOAT
  • INTEGER
  • JSON
  • TIMESTAMPTZ
  • TIMESTAMP
  • UUID
  • TEXT

Nested Types

  • LIST (variable length)
  • ARRAY (fixed length)

License

ISC