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@lambda-group/scylladb

v0.7.1

Published

πŸš€ JavaScript driver for ScyllaDB, harnessing Rust's power through napi-rs for top performance. Pre-release stage. πŸ§ͺπŸ”§

Downloads

116

Readme

ScyllaDB Unnoficial Discord Server

⚠️ Disclaimer ⚠️

This repository and the associated npm package are currently in a 🐣 pre-release state and are being used for testing πŸ§ͺ purposes. They are subject to change without notice πŸ“. Users are encouraged to use this driver with caution ❗ and not in production environments until the official release.

πŸš€ Getting Started πŸš€

These instructions will get you a copy of the project up and running πŸƒ on your local machine for development and testing purposes.

πŸ“‹ Prerequisites πŸ“‹

  • Docker: We use Docker 🐳 to run the Scylla database easily without the need for a complex local setup.
  • Node.js: Make sure you have Node.js installed on your system to run JavaScript code.

🌟 Quickstart 🌟

  1. Start ScyllaDB in Docker:

    Run a ScyllaDB instance using the following Docker command:

    docker run --name scylladb -d --rm -it -p 9042:9042 scylladb/scylla --smp 2

    This command pulls the Scylla image if it's not already present on your system, and starts a new 🌟 container with the Scylla database.

  2. Use the JavaScript Driver:

    Here's a simple script to connect to the database and execute a query:

    import { Cluster } from "@lambda-group/scylladb";
    
    const cluster = new Cluster({
      nodes: ["127.0.0.1:9042"],
    });
    
    const session = await cluster.connect("system_schema");
    
    const result = await session.execute("SELECT * FROM scylla_tables limit ?", [1]).catch(console.error);
    
    console.log(result);

    This script connects to the ScyllaDB instance running on your machine, performs a query, and logs the result.

πŸ“₯ Installing πŸ“₯

To install this package, use the following command:

npm install @lambda-group/scylladb@latest

πŸ“š Examples πŸ“š

Reference wise you can guide yourself through the examples/ folder in the repo.

πŸ™ Acknowledgments πŸ™

  • Thanks to the developers of ScyllaDB for creating such a high-performance database.
  • Thanks to the Rust community for providing the robust scylla crate.
  • Thanks to the napi-rs project for enabling efficient Rust and Node.js integrations.