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ts-query-model

v0.7.0

Published

Simple TS wrapper for database queries with some convenience features. Works with MySQL and SQLite.

Downloads

745

Readme

ts-query-model

A simple TypeScript wrapper for database queries with some convenience features. Not an ORM. Currently supports MySQL, PostgreSQL and SQLite.

It aims to provide a middle ground between the complexity of using an ORM and having to manually create types for raw SQL queries.

➡️➡️ Full API documentation ⬅️⬅️

Features

  • ✅ Write SQL. No querybuilder API.
  • ✅ Correctly typed query results without separate type declarations.
  • ✅ Lightweight. No dependencies.
  • ✅ No scripted setup process.
  • ✅ Easily extensible with your own custom column types.

Installation

npm install ts-query-model

To use with MySQL, use the mysql2 package:

npm install mysql2

To use with PostgreSQL, use the pg package:

npm install pg

To use with SQLite, use the sqlite3 package:

npm install sqlite3

It is recommended to use in conjunction with sql-template-strings

npm install sql-template-strings

Code example (MySQL)

import { columns, Database, MySQLConnection } from "ts-query-model";
import SQL from "sql-template-strings";

// Step 1: define your database connection
// (Also supports SQLite and PostgreSQL)
const db = new Database(
  new MySQLConnection({
    uri: "mysql://your-database-connection-string",
  })
);

// Step 2: create a query
const getUsers = db.getMany({
  name: "get-all-users", // optional query name for logging
  columns: {
    // define the columns to be returned
    id: columns.numberColumnAutoIncrement(),
    name: columns.stringColumn(),
    dateCreated: columns.dateColumn(),
    isBanned: columns.booleanIntColumn(),
  },
  query: ({ limit }: { limit: number }) =>
    // function to return the SQL to be executed
    SQL`SELECT id, name, dateCreated, isBanned FROM users LIMIT ${limit}`,
});

// Step 3: execute your query
const result = await getUsers({ limit: 10 });
//    ^ result is correctly     ^ query arguments are
//      typed according to        correctly typed
//      your columns

See more at the full API documentation