daniel-boll / scylla-javascript-driver

🚀 JavaScript driver for ScyllaDB, harnessing Rust's power through napi-rs for top performance. Pre-release stage. 🧪🔧

🚀 JavaScript driver for ScyllaDB. Pre-release stage. 🧪🔧

⚠️ Disclaimer ⚠️

This repository and the associated npm package are currently in a 🐣 pre-release state and are being used for testing 🧪 purposes. They are subject to change without notice 📝. Eventually, they will be moved to the ExpressoTS organization under the scylladb-driver package name. Users are encouraged to use this driver with caution ❗ and not in production environments until the official release under the ExpressoTS organization.

🚀 Getting Started 🚀

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

📋 Prerequisites 📋

• 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((err) => console.error(err));
   
   console.log(result);

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

📥 Installing 📥

To install this package, use the following command:

npm install @lambda-group/scylladb

🙏 Acknowledgments 🙏

• 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.