How does BuffStreams compare to gRPC in Go?

BuffStreams is a lightweight library for custom TCP streaming with Protocol Buffers, focusing on raw performance and minimal overhead, while gRPC is a full RPC framework with HTTP/2, service definitions, and built-in features like authentication. Use BuffStreams for high-throughput, low-latency TCP services; choose gRPC for standardized, feature-rich RPC with broader ecosystem support.

How to handle large messages with BuffStreams?

Set the MaxMessageSize in both TCPListenerConfig and TCPConnConfig to match between client and server. The library uses fixed headers to delimit messages, so ensure the size accommodates your payloads to avoid truncation or errors.

Is BuffStreams thread-safe for concurrent writes?

Yes, the Manager abstraction is thread-safe with internal locks, allowing safe concurrent writes to cached connections. However, direct use of TCPConn structs requires manual synchronization if accessed from multiple goroutines.

Can I use BuffStreams with JSON instead of Protocol Buffers?

Yes, BuffStreams is protocol agnostic and can stream any data with the header+payload format. You'll need to serialize JSON to bytes before writing and deserialize in the callback, as the library only handles raw byte arrays.

How to implement error handling in BuffStreams callbacks?

The ListenCallback returns an error, which you can handle within the function for deserialization or logic failures. For write errors, check the bytesWritten and err returned by Write calls, as connections are closed and reopened on failures with no guarantee on partial writes.

What are the real-world performance benchmarks for BuffStreams?

The README cites over 1.1 million messages per second with 110-byte messages on a single socket, but more comprehensive real-world benchmarks are listed on the roadmap. Refer to the BENCH.md file for detailed metrics under controlled conditions.

buffstreams — Protocol Buffers Streaming Library

What is buffstreams?

BuffStreams is a Go library that simplifies building networked applications that stream Protocol Buffers messages over TCP. It abstracts away the complexities of socket programming, message framing, and connection management, providing a clean interface for sending and receiving serialized data. The library handles the low-level details like adding size headers and reading complete messages, allowing developers to focus on their application's core logic.

Target Audience

Go developers building high-performance networked services, microservices, or distributed systems that need to communicate using Protocol Buffers over TCP. It's particularly useful for those who want to avoid writing repetitive socket handling code.

Value Proposition

Developers choose BuffStreams because it eliminates TCP streaming boilerplate while maintaining exceptional performance (over 1M messages/sec). It provides a simple, focused API for Protocol Buffers over TCP without the overhead of full RPC frameworks, making it ideal for custom streaming protocols.

A library to simplify writing applications using TCP sockets to stream protobuff messages

Use Cases

Best For

Building custom TCP-based streaming services with Protocol Buffers
Creating high-throughput microservices that need low-latency communication
Implementing lightweight RPC systems without heavy framework dependencies
Developing real-time data pipelines between Go services
Prototyping networked applications quickly without writing socket code from scratch
Streaming any serialized data with a simple header+payload format over TCP

Not Ideal For

Applications requiring HTTP/2, gRPC, or RESTful APIs with built-in service discovery and streaming
Projects that need out-of-the-box support for multiple serialization formats like JSON or XML without manual handling
Systems where UDP or other non-TCP transport protocols are essential for low-latency or broadcast communication
Teams looking for a full-featured RPC framework with authentication, encryption, and automatic load balancing

Pros & Cons

Pros

High Performance Streaming

Benchmarks show over 1.1 million messages per second on a single socket, saturating a 1Gb NIC, as cited in the README, making it ideal for high-throughput applications.

Simplified TCP Abstraction

Handles low-level details like message framing with fixed-length headers and connection management, eliminating boilerplate socket code for Protocol Buffers over TCP.

Flexible Callback Interface

Provides a ListenCallback for custom deserialization and business logic, allowing developers to process raw bytes as needed, as demonstrated in the example code.

Thread-Safe Connection Manager

Includes a Manager class with internal locks for caching and managing multiple listeners and writers concurrently, simplifying connection handling in multi-goroutine environments.

Cons

Manual Serialization Required

The library does not handle Protocol Buffers serialization internally; developers must use proto.Unmarshal in callbacks, adding extra steps and potential for errors.

TCP-Only Transport Limitation

Limited to TCP connections with no support for UDP, HTTP, or other protocols, restricting its use in scenarios requiring different networking approaches.

Callback-Based Async Complexity

Relies on goroutines and callbacks for async processing, which can complicate error handling and debugging compared to channel-based patterns, though a channel-based approach is on the roadmap.

Logging Performance Penalty

Enabling logging incurs a performance hit under extreme load, as noted in the README, which may deter use in ultra-high-performance environments where monitoring is needed.

Frequently Asked Questions

What is buffstreams?

Target Audience

Value Proposition

Use Cases

Best For

Building custom TCP-based streaming services with Protocol Buffers
Creating high-throughput microservices that need low-latency communication
Implementing lightweight RPC systems without heavy framework dependencies
Developing real-time data pipelines between Go services
Prototyping networked applications quickly without writing socket code from scratch
Streaming any serialized data with a simple header+payload format over TCP

Not Ideal For

Applications requiring HTTP/2, gRPC, or RESTful APIs with built-in service discovery and streaming
Projects that need out-of-the-box support for multiple serialization formats like JSON or XML without manual handling
Systems where UDP or other non-TCP transport protocols are essential for low-latency or broadcast communication
Teams looking for a full-featured RPC framework with authentication, encryption, and automatic load balancing

Pros & Cons

Pros

High Performance Streaming

Benchmarks show over 1.1 million messages per second on a single socket, saturating a 1Gb NIC, as cited in the README, making it ideal for high-throughput applications.

Simplified TCP Abstraction

Handles low-level details like message framing with fixed-length headers and connection management, eliminating boilerplate socket code for Protocol Buffers over TCP.

Flexible Callback Interface

Provides a ListenCallback for custom deserialization and business logic, allowing developers to process raw bytes as needed, as demonstrated in the example code.

Thread-Safe Connection Manager

Includes a Manager class with internal locks for caching and managing multiple listeners and writers concurrently, simplifying connection handling in multi-goroutine environments.

Cons

Manual Serialization Required

The library does not handle Protocol Buffers serialization internally; developers must use proto.Unmarshal in callbacks, adding extra steps and potential for errors.

TCP-Only Transport Limitation

Limited to TCP connections with no support for UDP, HTTP, or other protocols, restricting its use in scenarios requiring different networking approaches.

Callback-Based Async Complexity

Relies on goroutines and callbacks for async processing, which can complicate error handling and debugging compared to channel-based patterns, though a channel-based approach is on the roadmap.

Logging Performance Penalty

Enabling logging incurs a performance hit under extreme load, as noted in the README, which may deter use in ultra-high-performance environments where monitoring is needed.

Frequently Asked Questions

buffstreams

What is buffstreams?

Overview

Use Cases

Best For

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions

Related Projects

Found a gem we're missing?

buffstreams

What is buffstreams?

Overview

Use Cases

Best For

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions

Related Projects

Found a gem we're missing?