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@wxn0brp/db-string-query

v0.0.12

Published

`@wxn0brp/db-string-query` is a powerful query processor for ValtheraDB. It allows you to parse database queries written in either a JavaScript-like syntax or a SQL-like syntax. This provides flexibility in how you interact with your database.

Downloads

709

Readme

ValtheraDB Query Processor

@wxn0brp/db-string-query is a powerful query processor for ValtheraDB. It allows you to parse database queries written in either a JavaScript-like syntax or a SQL-like syntax. This provides flexibility in how you interact with your database.

Features

  • Dual Syntax Support: Write queries in either JS-like or SQL-like syntax.
  • Extensible: Easily extendable with new methods and handlers.
  • Typed: Written in TypeScript for type safety.

Installation

npm install @wxn0brp/db-string-query

Usage

The library exports a ValtheraDbParsers object which contains the js and sql parsers.

JS-like Syntax

The JS-like syntax is similar to calling a function. The query string should be in the format method(arg1, arg2, ...). Arguments are parsed using JSON5, so you can pass complex objects.

import { ValtheraDbParsers } from "@wxn0brp/db-string-query";

const jsParser = new ValtheraDbParsers.js();

const query = `myMethod({ a: 1, b: "hello" }, [1, 2, 3])`;
const parsedQuery = jsParser.parse(query);

console.log(parsedQuery);
// Output:
// {
//   method: 'myMethod',
//   args: [ { a: 1, b: 'hello' }, [ 1, 2, 3 ] ]
// }

SQL-like Syntax

The SQL-like syntax provides a familiar way to interact with the database.

Note: The SQL-like syntax is not full SQL. It is a simplified subset, supporting only basic, straightforward cases.

import { ValtheraDbParsers } from "@wxn0brp/db-string-query";

const sqlParser = new ValtheraDbParsers.sql();

const query = "SELECT * FROM users WHERE id = 1";
const parsedQuery = sqlParser.parse(query);

console.log(parsedQuery);

Supported SQL Commands

The SQL parser supports the following commands:

  • SELECT: Retrieve data from a collection.
  • INSERT: Add new data to a collection.
  • UPDATE: Modify existing data in a collection.
  • DELETE: Remove data from a collection.
  • GET COLLECTIONS: Get list of collection.
  • CREATE: Create a new collection.
  • DROP: Delete a collection.
  • EXISTS: Check if a collection exists.

Contributing

Contributions are welcome! Please open an issue or submit a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for details.