k_yrs_go is an efficient database server specifically designed for managing YJS documents. This project utilizes the power of Postgres and Redis to provide a robust backend solution for real-time collaborative applications.

Key Features

• High Performance: k_yrs_go leverages binary Redis queues as I/O buffers for YJS document updates, ensuring low latency and high throughput. The system shows average write latencies of around 1 millisecond, making it suitable for applications that require quick data updates.

• Efficient Data Storage: The following SQL schema is utilized to store updates:

  CREATE TABLE IF NOT EXISTS k_yrs_go_yupdates_store (
      id TEXT PRIMARY KEY,
      doc_id TEXT NOT NULL,
      data BYTEA NOT NULL
  );
  
  CREATE INDEX IF NOT EXISTS k_yrs_go_yupdates_store_doc_id_idx ON k_yrs_go_yupdates_store (doc_id);
  

• Easy Integration: Integrating k_yrs_go into applications is straightforward. Below is a code snippet demonstrating how to write and read updates using the server:

  import axios from 'axios';
  
  const api = axios.create({ baseURL: env.SERVER_URL });
  
  const docId = uuid();
  const ydoc = new Y.Doc();
  
  // WRITE
  ydoc.on('update', async (update: Uint8Array) => {
      await api.post<Uint8Array>(`/docs/${docId}/updates`, update, {headers: {'Content-Type': 'application/octet-stream'}});
  });
  
  // READ
  const response = await api.get<ArrayBuffer>(`/docs/${docId}/updates`, { responseType: 'arraybuffer' });
  const update = new Uint8Array(response.data);
  const ydoc2 = new Y.Doc();
  Y.applyUpdate(ydoc2, update);
  

Performance Testing

Benchmarks demonstrate the efficiency of k_yrs_go in handling updates. A compaction test ensures that the database remains optimized, with the number of rows per document capped at specified limits to prevent excessive growth:

```typescript
const countRes = await db('k_yrs_go_yupdates_store').where('doc_id', docId).count('id');
expect(rowsInDB).to.lessThanOrEqual(100);
```

Getting Started

The setup process is efficient. Developers are guided through the installation of necessary tools such as Docker and Node.js. Subsequently, running the server in development mode is achieved with:

```bash
turbo run dev
```

Configuration Options

Configurations can be easily customized in the file server/.env and tests can be run thereafter to ensure stability. Specific environmental variables like SERVER_URL, PG_URL, and REDIS_URL can be adapted to fit any desired infrastructure requirements.

Compatibility

k_yrs_go is designed to be used alongside the yjs-scalable-ws-backend, expanding its functionality and scalability in real-time applications.