Langium-sql NPM

Langium/SQL

This project provides a language server for SQL dialects.

Features

Schema-driven: Add a set of table definitions to spread out the world for your SELECT queries. The table definitions can be located in a different file of the same workspace. You can keep definitions and queries separated.
Code completion: Press Ctrl + Space keys to trigger the completion directly. You will get suggestions for the current context.
Syntax highlighting: to distinguish what are keywords, identifiers, numeric literals and for a better perception of the SQL syntax.
Symbol search: Use Cmd or Ctrl + mouse click on a column name to find the definition of it or explore the places where a column is used.
Fast feedback about contextual correctness: Whether referenced columns exist or types on certain operators are matching.
Super-set approach: Any piece of any dialect that is missing can be added to the main grammar and be protected from other dialects using validations.
Highly customizable: Any behavior or aspect that is missing for your specific use case can be easily overwritten.

npm.io

Demo

We prepared a showcase on the Langium project website. You can find it here.

The given schema describes an airport database. It contains tables for airports, airlines, flights, and passengers. The queries are written in the MySQL dialect.

Getting started

Installation

npm install langium-sql

yarn add langium-sql

Example usage

Here is a minimal example of how to use the Langium/SQL language server in your project.

import { parseHelper, createTestServices } from "../test-utils";
import { join } from "path";
import { MySqlDialectTypes } from "../../src/dialects/mysql/data-types";

const services = createTestServices(MySqlDialectTypes);
const parse = await parseHelper(services.Sql, join('path', 'to', 'schemas.sql'));
const document = await parse("SELECT * FROM my_table;");

console.log(document.parseResult.value);

See more examples in the Langium test folder.