https://github.com/bug-ops/pjs

Priority JSON Streaming Protocol
https://github.com/bug-ops/pjs
json priority protocol streaming
Last synced: 7 months ago
JSON representation
Priority JSON Streaming Protocol
Host: GitHub
URL: https://github.com/bug-ops/pjs
Owner: bug-ops
License: mit
Created: 2025-08-10T14:41:59.000Z (8 months ago)
Default Branch: main
Last Pushed: 2025-08-10T19:05:21.000Z (8 months ago)
Last Synced: 2025-08-10T19:30:53.876Z (8 months ago)
Topics: json, priority, protocol, streaming
Language: Rust
Homepage:
Size: 105 KB
Stars: 1
Watchers: 0
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
Awesome Lists containing this project

README

          
# PJS - Priority JSON Streaming Protocol

[![Crates.io](https://img.shields.io/crates/v/pjson-rs.svg)](https://crates.io/crates/pjson-rs)

[![Documentation](https://docs.rs/pjson-rs/badge.svg)](https://docs.rs/pjson-rs)

[![Rust Build](https://github.com/bug-ops/pjs/actions/workflows/rust.yml/badge.svg)](https://github.com/bug-ops/pjs/actions/workflows/rust.yml)

[![codecov](https://codecov.io/gh/bug-ops/pjs/branch/main/graph/badge.svg)](https://codecov.io/gh/bug-ops/pjs)

[![License](https://img.shields.io/badge/license-MIT%20OR%20Apache--2.0-blue.svg)](LICENSE)

[![Rust Version](https://img.shields.io/badge/rust-nightly-orange.svg)](https://www.rust-lang.org)

**🚀 6.3x faster than serde_json | 🎯 5.3x faster progressive loading | 💾 Bounded memory usage | 🏗️ Production Ready**

> **New in v0.3.0**: Production-ready code quality with zero clippy warnings, Clean Architecture compliance, and comprehensive test coverage (196 tests). **Now requires nightly Rust for zero-cost abstractions**.

## 🌟 Key Features

### ⚡ Blazing Fast

- **6.3x faster** than serde_json

- **1.71 GiB/s** throughput

- SIMD-accelerated parsing

### 🎯 Smart Streaming

- Skeleton-first delivery

- Priority-based transmission

- Progressive enhancement

### 💾 Memory Efficient

- **5.3x** faster progressive loading

- Bounded memory usage

- Zero-copy operations

### 🔧 Production Ready

- All tests passing

- Clean Architecture

### 📊 Schema Aware

- Automatic compression

- Semantic analysis

- Type optimization

### 🚀 Developer Friendly

- Simple API

- Drop-in replacement

- Extensive documentation

## 🎯 The Problem

Modern web applications face a fundamental challenge: **large JSON responses block UI rendering**.

### Current State

- 📊 Analytics dashboard loads 5MB of JSON

- ⏱️ User waits 2-3 seconds seeing nothing

- 😤 User thinks app is broken and refreshes

- 🔄 The cycle repeats

### Why existing solutions fall short

| Solution | Problem |

|----------|---------|

| **Pagination** | Requires multiple round-trips, complex state management |

| **GraphQL** | Still sends complete response, just smaller |

| **JSON streaming** | No semantic understanding, can't prioritize |

| **Compression** | Reduces size but not time-to-first-byte |

## ✨ The Solution: PJS

PJS revolutionizes JSON transmission by **understanding your data semantically** and **prioritizing what matters**.

### Core Innovation: Semantic Prioritization

```rust

#[derive(JsonPriority)]

struct UserDashboard {

    #[priority(critical)]  // Sent in first 10ms

    user_id: u64,

    user_name: String,

    

    #[priority(high)]      // Sent in next 50ms

    recent_activity: Vec,

    notifications: Vec,

    

    #[priority(low)]       // Sent when available

    detailed_analytics: Analytics,  // 4MB of data

}

```

### Real-World Impact

```plain

Traditional JSON Loading:

[████████████████████] 100% - 2000ms - Full UI renders

PJS Loading:

[██░░░░░░░░░░░░░░░░░░] 10%  - 10ms   - Critical UI visible

[██████░░░░░░░░░░░░░░] 30%  - 50ms   - Interactive UI

[████████████████████] 100% - 2000ms - Full data loaded

User Experience: ⚡ Instant → 😊 Happy

```

## Key Features

### 🚀 Complete HTTP Server Integration

Production-ready Axum integration with full REST API, session management, and real-time streaming.

### 🎯 Advanced Streaming Implementations

- **AdaptiveFrameStream**: Client capability-based optimization

- **BatchFrameStream**: High-throughput batch processing  

- **PriorityFrameStream**: Priority-based frame ordering with buffering

### 🏗️ Domain-Driven Design Architecture

Clean architecture with CQRS pattern, event sourcing, and ports & adapters for maximum testability and maintainability.

### 📊 Production-Ready Infrastructure

- Thread-safe in-memory storage and metrics collection

- Event publishing with subscription support

- Prometheus metrics integration

- Comprehensive middleware stack (CORS, security, compression)

### 🔄 Multiple Response Formats

Automatic format detection supporting JSON, NDJSON, and Server-Sent Events based on client Accept headers.

### ⚡ SIMD-Accelerated Parsing

Powered by `sonic-rs` for blazing fast JSON processing with zero-copy operations.

### 🔄 Real-Time WebSocket Streaming

Complete WebSocket implementation with priority-based frame delivery:

- **Session Management**: Track active WebSocket connections with metrics

- **Priority-Based Delivery**: Critical data sent first with adaptive delays

- **Schema-Based Compression**: Intelligent compression using multiple strategies  

- **Progressive Enhancement**: Skeleton-first streaming with incremental updates

- **Demo Servers**: Interactive demonstrations of real-time streaming capabilities

## 🎉 What's New in v0.3.0

### 🛠️ Production-Ready Code Quality

- **Zero Clippy Warnings**: All 44+ clippy warnings resolved across entire codebase

- **Modern Format Strings**: Updated to `format!("{var}")` syntax throughout

- **Enhanced Error Handling**: Proper Result patterns and async trait compatibility

- **Memory Safety**: Fixed await-holding lock patterns and buffer alignment issues

- **196 Tests Passing**: Complete test suite with all features enabled

### 🏗️ Clean Architecture Enforcement

- **Domain Layer Isolation**: Custom `JsonData` value object replacing `serde_json::Value`

- **Type Safety**: Eliminated all architecture violations in domain layer

- **Seamless Conversion**: `From` trait implementations for `JsonData ↔ serde_json::Value`

- **Proper Boundaries**: Clear separation between domain and infrastructure errors

### 🌐 HTTP/WebSocket Modernization

- **Axum v0.8 Compatibility**: Updated route syntax from `:param` to `{param}` format

- **StreamExt Integration**: Fixed async stream processing with proper trait imports

- **Body Type Updates**: Modern HTTP body handling for latest axum/hyper versions

- **All Tests Passing**: Complete HTTP integration test suite validation

### 🔧 Technical Debt Resolution

- **Architecture Compliance**: Resolved all Clean Architecture violations

- **Lint Standards**: Zero warnings with strict linting enabled (`-D warnings`)

- **Async Patterns**: Fixed await-across-locks and other async safety issues

- **Type System**: Enhanced type safety with better generic bounds and aliases

## Benchmarks

### 🚀 **Actual Performance Results**

| Metric | serde_json | sonic-rs | PJS | PJS Advantage |

|--------|------------|----------|-----|---------------|

| **Small JSON (43B)** | 275ns | 129ns | 312ns | Competitive |

| **Medium JSON (351B)** | 1,662ns | 434ns | 590ns | **2.8x vs serde** |

| **Large JSON (357KB)** | 1,294μs | 216μs | 204μs | **6.3x vs serde, 1.06x vs sonic** |

| **Memory Efficiency** | Baseline | Fast | **5.3x faster** progressive | **Bounded memory** |

| **Progressive Loading** | Batch-only | Batch-only | **37μs** vs 198μs | **5.3x faster** |

### 🎯 **Key Performance Achievements**

- **6.3x faster** than serde_json for large JSON processing

- **1.06x faster** than sonic-rs (SIMD library) on large datasets  

- **5.3x faster** progressive loading vs traditional batch processing

- **1.71 GiB/s** sustained throughput (exceeding sonic-rs 1.61 GiB/s)

## Installation

Add PJS to your `Cargo.toml`:

```toml

[dependencies]

pjson-rs = "0.3.0"

# Optional: for HTTP server integration

axum = "0.8"

tokio = { version = "1", features = ["full"] }

```

Or use cargo:

```bash

cargo add pjson-rs

```

## Quick Start

### HTTP Server with Axum Integration

```rust

use std::sync::Arc;

use pjson_rs::{

    application::{

        handlers::{InMemoryCommandHandler, InMemoryQueryHandler},

        services::{SessionService, StreamingService},

    },

    infrastructure::{

        adapters::{InMemoryStreamRepository, InMemoryEventPublisher, InMemoryMetricsCollector},

        http::axum_adapter::{create_pjs_router, PjsAppState},

    },

};

#[tokio::main]

async fn main() -> Result<(), Box> {

    // Create infrastructure

    let repository = Arc::new(InMemoryStreamRepository::new());

    let event_publisher = Arc::new(InMemoryEventPublisher::new());

    let metrics_collector = Arc::new(InMemoryMetricsCollector::new());

    

    // Create CQRS handlers

    let command_handler = Arc::new(InMemoryCommandHandler::new(

        repository.clone(), event_publisher, metrics_collector.clone()

    ));

    let query_handler = Arc::new(InMemoryQueryHandler::new(repository, metrics_collector));

    

    // Create services

    let session_service = Arc::new(SessionService::new(command_handler.clone(), query_handler.clone()));

    let streaming_service = Arc::new(StreamingService::new(command_handler));

    

    // Build Axum app

    let app = create_pjs_router()

        .with_state(PjsAppState::new(session_service, streaming_service));

    

    // Start server

    let listener = tokio::net::TcpListener::bind("127.0.0.1:3000").await?;

    println!("🚀 PJS Server running on http://127.0.0.1:3000");

    axum::serve(listener, app).await?;

    

    Ok(())

}

```

### JavaScript/TypeScript Client Library

Use the official PJS client library for seamless integration:

```bash

npm install @pjs/client

```

#### HTTP Streaming

```typescript

import { PjsClient, createHttpTransport } from '@pjs/client';

// Create client with HTTP transport

const client = new PjsClient({

    transport: createHttpTransport({

        baseUrl: 'http://localhost:3000',

        format: 'sse' // or 'json', 'ndjson'

    })

});

// Stream data with priority-based delivery

await client.stream({

    data: { 

        users: [/* large array */],

        dashboard: { /* complex object */ }

    },

    onFrame: (frame) => {

        // Frames arrive in priority order

        if (frame.priority >= 90) {

            updateUI(frame.data); // Critical data first

        }

    }

});

```

#### WebSocket Real-Time Streaming

```typescript

import { PjsClient, createWebSocketTransport } from '@pjs/client';

const client = new PjsClient({

    transport: createWebSocketTransport({

        url: 'ws://localhost:3001/ws'

    })

});

// Real-time streaming with priority handling

await client.connect();

client.onFrame((frame) => {

    console.log(`Priority ${frame.priority}:`, frame.data);

    

    // Handle based on priority

    switch (frame.priority) {

        case 'critical':

            showImmediate(frame.data);

            break;

        case 'high':

            queueForNextFrame(frame.data);

            break;

        default:

            processInBackground(frame.data);

    }

});

```

### WebSocket Streaming

```rust

use pjson_rs::{

    ApplicationResult,

    domain::value_objects::SessionId,

};

use futures::{SinkExt, StreamExt};

use tokio_tungstenite::{connect_async, tungstenite::Message};

#[tokio::main]

async fn main() -> ApplicationResult<()> {

    // Connect to WebSocket streaming server

    let (ws_stream, _) = connect_async("ws://127.0.0.1:3001/ws")

        .await

        .expect("Failed to connect");

    

    let (mut write, mut read) = ws_stream.split();

    

    // Receive prioritized frames

    while let Some(message) = read.next().await {

        match message? {

            Message::Text(text) => {

                let frame: serde_json::Value = serde_json::from_str(&text)?;

                

                match frame["@type"].as_str() {

                    Some("pjs_frame") => {

                        let priority = frame["@priority"].as_u64().unwrap_or(0);

                        

                        if priority >= 200 {

                            println!("🚨 Critical data: {}", frame["data"]);

                        } else if priority >= 100 {

                            println!("📊 High priority: {}", frame["data"]);

                        } else {

                            println!("📝 Background data received");

                        }

                    }

                    Some("stream_complete") => {

                        println!("✅ Stream completed!");

                        break;

                    }

                    _ => {}

                }

            }

            _ => {}

        }

    }

    

    Ok(())

}

```

### Demo Servers

Start the interactive demos to see PJS in action:

```bash

# WebSocket streaming server with priority-based delivery

cargo run --bin websocket_streaming --manifest-path crates/pjs-demo/Cargo.toml

# Interactive demo with HTML interface and real-time visualization

cargo run --bin interactive_demo --manifest-path crates/pjs-demo/Cargo.toml

# Simple demo server with basic streaming

cargo run --bin simple_demo --manifest-path crates/pjs-demo/Cargo.toml

# Performance comparison demo (PJS vs traditional JSON)

cargo run --bin performance_comparison --manifest-path crates/pjs-demo/Cargo.toml

```

Or run root-level examples:

```bash

# Complete Axum HTTP server

cargo run --example axum_server

# Advanced streaming demo server  

cargo run --example streaming_demo_server

# Simple usage patterns

cargo run --example simple_usage

```

Then visit `http://127.0.0.1:3000` to see priority-based streaming in action.

## Use Cases

Perfect for:

- 📊 **Real-time dashboards** - Show key metrics instantly

- 📱 **Mobile apps** - Optimize for slow networks

- 🛍️ **E-commerce** - Load product essentials first

- 📈 **Financial platforms** - Prioritize critical trading data

- 🎮 **Gaming leaderboards** - Show player's rank immediately

## Architecture

PJS implements a clean, layered architecture following Domain-Driven Design principles:

### 1. Domain Layer

Core business logic with value objects (Priority, SessionId, JsonPath) and aggregates (StreamSession) ensuring data consistency.

### 2. Application Layer  

CQRS pattern with separate Command and Query handlers, plus high-level services (SessionService, StreamingService) orchestrating workflows.

### 3. Infrastructure Layer

Adapters implementing domain ports:

- **Storage**: In-memory repositories with thread-safe concurrent access

- **Events**: Publisher/subscriber pattern for domain event distribution  

- **Metrics**: Performance monitoring with Prometheus integration

- **HTTP**: Complete Axum server with middleware stack

### 4. Transport Abstraction

Multi-format streaming support:

- **JSON**: Standard response format

- **NDJSON**: Newline-delimited for efficient processing

- **Server-Sent Events**: Real-time browser compatibility

- Automatic format detection via Accept headers

### 5. Advanced Streaming

Intelligent frame processing:

- **Priority-based delivery**: Critical data first

- **Adaptive buffering**: Dynamic sizing based on client performance

- **Batch processing**: High-throughput chunk aggregation

## Technical Architecture

```plain

pjs/

├── crates/

│   ├── pjs-core/           # Core protocol, domain logic, and HTTP integration

│   │   ├── src/

│   │   │   ├── application/    # CQRS handlers, services, DTOs

│   │   │   ├── domain/         # Value objects, entities, aggregates

│   │   │   ├── infrastructure/ # HTTP, WebSocket, repositories, adapters

│   │   │   ├── parser/         # SIMD, zero-copy, buffer pools

│   │   │   ├── stream/         # Priority streaming, reconstruction

│   │   │   └── compression/    # Schema-based compression

│   │   ├── examples/           # Standalone demos (zero-copy, compression)

│   │   └── tests/              # Integration tests

│   ├── pjs-demo/           # Interactive demo servers with WebSocket streaming

│   │   └── src/

│   │       ├── servers/        # Demo server implementations

│   │       ├── clients/        # WebSocket client demos  

│   │       ├── data/           # Sample data generators (analytics, ecommerce)

│   │       └── static/         # HTML interfaces

│   ├── pjs-js-client/      # JavaScript/TypeScript client library ✅ IMPLEMENTED

│   │   ├── src/            # TypeScript source code with transport layers

│   │   ├── tests/          # Jest test suite with full coverage

│   │   └── package.json    # NPM configuration and dependencies

│   └── pjs-bench/          # Benchmarking suite

│       └── benches/        # Criterion.rs performance benchmarks

└── examples/               # Root-level usage examples

    ├── axum_server.rs      # Complete HTTP server demo

    ├── simple_usage.rs     # Basic usage patterns  

    └── streaming_demo_server.rs # Advanced streaming demo

```

### Current Implementation Status

- **Phase 1**: ✅ Core foundation (100% complete)

- **Phase 2**: ✅ Protocol layer (100% complete)  

- **Phase 3**: ✅ Client/Server framework (100% complete)

- **Phase 4**: ✅ Transport layer (100% complete)

- **Phase 5**: ✅ Production features (100% complete)

- **Phase 6**: ✅ Real-Time Streaming (100% complete)

- **Phase 7**: ✅ JavaScript/TypeScript Client SDK (100% complete)

- **Phase 8**: ✅ Code Quality & Production Readiness (100% complete)

- **Overall**: ~98% of core functionality implemented

### Implemented Components

- **✅ pjs-core**: Complete Rust implementation with Clean Architecture

- **✅ pjs-demo**: Interactive demo servers with real-time WebSocket streaming  

- **✅ pjs-js-client**: Full TypeScript/JavaScript client library with transport layers

- **✅ pjs-bench**: Comprehensive benchmarking suite with performance validation

- **✅ Examples**: Multiple working examples from simple to advanced usage

## API Examples

### HTTP Endpoints

The server provides a complete REST API:

```bash

# Create a new session

POST /pjs/sessions

Content-Type: application/json

{

  "max_concurrent_streams": 10,

  "timeout_seconds": 3600,

  "client_info": "My App v1.0"

}

# Response: { "session_id": "sess_abc123", "expires_at": "..." }

# Get session info  

GET /pjs/sessions/{session_id}

# Start streaming data

POST /pjs/stream/{session_id}

Content-Type: application/json

{

  "data": { "users": [...], "products": [...] },

  "priority_threshold": 50,

  "max_frames": 100

}

# Stream frames (JSON format)

GET /pjs/stream/{session_id}/frames?format=json&priority=80

# Real-time Server-Sent Events

GET /pjs/stream/{session_id}/sse

Accept: text/event-stream

# System health check

GET /pjs/health

# Response: { "status": "healthy", "version": "0.3.0" }

```

### Working Example

A complete working server is available at `examples/axum_server.rs`. To run it:

```bash

# Start the server

cargo run --example axum_server

# Test endpoints

curl -X POST http://localhost:3000/pjs/sessions \

  -H "Content-Type: application/json" \

  -d '{"max_concurrent_streams": 5}'

# Check health  

curl http://localhost:3000/pjs/health

# View metrics

curl http://localhost:3000/examples/metrics

```

## Performance Goals

- **Throughput**: >4 GB/s with sonic-rs

- **Time to First Byte**: <10ms for critical data

- **Memory Efficiency**: 5-10x reduction vs traditional parsing

- **CPU Utilization**: Full SIMD acceleration

## Building

### Prerequisites

- **Rust nightly** (required for `impl Trait` in associated types)

- CPU with AVX2 support (recommended for SIMD acceleration)

### Setting up Rust Nightly

```bash

# Install nightly Rust

rustup install nightly

# Set nightly for this project

rustup override set nightly

# Or use nightly globally

rustup default nightly

```

### Quick Start

```bash

# Clone repository

git clone https://github.com/bug-ops/pjs

cd pjs

# Ensure nightly Rust is active

rustup override set nightly

# Build with optimizations

cargo build --release

# Run tests

cargo test --workspace

# Run the complete HTTP server example

cargo run --example axum_server

# Build with optional features

cargo build --features "http-client,prometheus-metrics"

```

### Feature Flags

- `http-client`: Enable HTTP-based event publishing

- `prometheus-metrics`: Enable Prometheus metrics collection

- `simd-auto`: Auto-detect best SIMD support (default)

- `compression`: Enable compression middleware

## Framework Integration

### Universal Integration Layer with Zero-Cost Abstractions

PJS provides true zero-cost abstractions using **nightly Rust features** for maximum performance. The Universal Framework Integration Layer uses Generic Associated Types (GATs) with `impl Trait` to eliminate all runtime overhead:

```rust

use pjson_rs::infrastructure::integration::StreamingAdapter;

use std::future::Future;

// Zero-cost framework integration with GATs

impl StreamingAdapter for YourFramework {

    type Request = YourRequest;

    type Response = YourResponse;

    type Error = YourError;

    // TRUE zero-cost futures - no Box allocation!

    type StreamingResponseFuture<'a> = impl Future> + Send + 'a

    where

        Self: 'a;

    fn create_streaming_response<'a>(

        &'a self,

        session_id: SessionId,

        frames: Vec,

        format: StreamingFormat,

    ) -> Self::StreamingResponseFuture<'a> {

        // Direct async block - compiler generates optimal Future type

        async move {

            // Your framework-specific logic here

            Ok(your_response)

        }

    }

    fn framework_name(&self) -> &'static str {

        "your_framework"

    }

}

```

### Performance Benefits of Nightly Rust

**Zero-Cost Abstractions:**

- **1.82x faster** trait dispatch vs async_trait

- **Zero heap allocations** for futures

- **Pure stack allocation** - no runtime overhead

- **Static dispatch** eliminates vtables

- **Complete inlining** for hot paths

### Currently Supported

- **✅ Axum**: Full native integration with zero-cost GAT futures

- **🔧 Any Framework**: Universal adapter with true zero-cost abstractions

- **📋 Planned**: Helper macros for popular frameworks (Actix, Warp, Tide)

### Integration Examples

```rust

// Axum (native support)

use pjson_rs::infrastructure::http::axum_adapter::create_pjs_router;

let app = create_pjs_router().with_state(app_state);

// Custom framework integration

use pjson_rs::infrastructure::adapters::UniversalAdapter;

let adapter = UniversalAdapter::new()

    .with_serializer(your_serializer)

    .with_transport(your_transport);

```

## Production Features

### Middleware Stack

The HTTP server includes production-ready middleware:

```rust

use pjson_rs::infrastructure::http::middleware::*;

let app = create_pjs_router()

    .layer(axum::middleware::from_fn(pjs_cors_middleware))

    .layer(axum::middleware::from_fn(security_middleware))

    .layer(axum::middleware::from_fn(health_check_middleware))

    .layer(PjsMiddleware::new()

        .with_compression(true)

        .with_metrics(true)

        .with_max_request_size(10 * 1024 * 1024))

    .with_state(app_state);

```

### Monitoring & Metrics

Built-in Prometheus metrics support:

```rust

// Automatically tracks:

// - pjs_active_sessions

// - pjs_total_sessions_created  

// - pjs_frames_processed_total

// - pjs_bytes_streamed_total

// - pjs_frame_processing_time_ms

let metrics = collector.export_prometheus();

// Expose at /metrics endpoint for Prometheus scraping

```

### Event System

Comprehensive domain event tracking:

```rust

// Events automatically generated:

// - SessionCreated, SessionActivated, SessionEnded

// - StreamStarted, StreamCompleted, FrameGenerated

// - PriorityAdjusted, ErrorOccurred

publisher.subscribe("SessionCreated", |event| {

    println!("New session: {}", event.session_id());

});

```

## Contributing

We welcome contributions! See [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines.

### Development Setup

```bash

# Install development tools

rustup component add clippy rustfmt

# Run checks

cargo clippy --workspace

cargo fmt --check

# Run all tests

cargo test --workspace --all-features

```

## License

Licensed under either of:

- Apache License, Version 2.0 ([LICENSE-APACHE](LICENSE-APACHE))

- MIT License ([LICENSE-MIT](LICENSE-MIT))

at your option.

## Getting Started Right Now

Want to try PJS immediately? Here's the fastest way:

```bash

# Clone and run

git clone https://github.com/bug-ops/pjs

cd pjs

# Set nightly Rust (required)

rustup override set nightly

# Run the server

cargo run --example axum_server

# In another terminal, test the API

curl -X POST http://localhost:3000/pjs/sessions \

  -H "Content-Type: application/json" \

  -d '{"max_concurrent_streams": 5}'

# Try Server-Sent Events streaming  

curl -N -H "Accept: text/event-stream" \

  http://localhost:3000/pjs/stream/{session_id}/sse

```

### Running Performance Benchmarks

To verify the performance claims, run the comprehensive benchmark suite:

```bash

# Run all benchmarks

cargo bench -p pjs-bench

# Or run specific benchmarks:

cargo bench -p pjs-bench --bench simple_throughput    # Core parsing speed

cargo bench -p pjs-bench --bench memory_benchmarks    # Memory efficiency  

cargo bench -p pjs-bench --bench streaming_benchmarks # Progressive loading

```

Results show PJS **6.3x faster** than serde_json and **1.06x faster** than sonic-rs on large JSON.

The server will show:

- 🚀 Server starting message

- 📊 Health check endpoint

- 📝 Available API endpoints

- 🎯 Demo data streaming capabilities

## Roadmap

### Next Steps

- [x] Connection lifecycle management ✅

- [x] WebSocket real-time streaming ✅

- [x] Performance benchmarks vs alternatives ✅

- [x] JavaScript/TypeScript client library ✅

- [ ] Universal framework integration layer

- [ ] Schema validation engine  

- [ ] Custom priority strategies

## Acknowledgments

Built with:

- [sonic-rs](https://github.com/cloudwego/sonic-rs) - Lightning fast SIMD JSON parser

- [axum](https://github.com/tokio-rs/axum) - Ergonomic web framework for Rust  

- [tokio](https://github.com/tokio-rs/tokio) - Async runtime for Rust

- [bytes](https://github.com/tokio-rs/bytes) - Efficient byte buffer management

## Community

- 📖 [Documentation](SPECIFICATION.md) - Complete protocol specification

- 📋 [Changelog](CHANGELOG.md) - Detailed version history

- 📊 [Benchmarks](crates/pjs-bench/README.md) - Comprehensive performance results

- 💬 [Discussions](https://github.com/bug-ops/pjs/discussions) - Questions and ideas

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*PJS: Because users shouldn't wait for data they don't need yet.*
ecosyste.ms

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https://github.com/bug-ops/pjs

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