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$ show akiradeveloper/sorock

[account ↗] [repo ↗] APPLICATION ★ 200 21 ● active (last update 4 months ago)
reviewed by: nvidia/nemotron-3-super-120b-a12b

Sorock is a Multi-Raft implementation in Rust that enables multiple Raft consensus processes to coexist in a single OS process for efficient resource sharing. The system implements a complete Raft consensus algorithm with optimizations including batched writes, heartbeat multiplexing, and Phi Accrual Failure Detector for adaptive leader failure detection. It provides gRPC services for client interaction (read/write operations) and includes CLI tools for cluster management (monitoring, remapping, syncing). The architecture follows a modular design where each shard maintains independent Raft state while sharing underlying storage and network connections.

RATING8.1/10
QUALITY8.2/10
MAINTENANCEactive
DRIFTlow
CONTRIBUTORS3
VELOCITY0.67
OPEN ISSUES6
CLOSED ISSUES133
LAST COMMIT4 months ago
Files by Type (count)
Rust
109
Markdown
16
TOML
8
Other (.png)
5
Git Ignore
3
YAML
2
JavaScript
2
Protocol Buffers
2
Dockerfile
1
Other (no ext)
1
Rakefile
1
Other (.jpg)
1
Files by Type (size)
JavaScript
2MB
Rust
234KB
Other (.png)
165KB
Other (.jpg)
96KB
Markdown
15KB
TOML
4KB
Protocol Buffers
4KB
YAML
1KB
Other (no ext)
1KB
Git Ignore
388B
Rakefile
345B
Dockerfile
169B

The LLM identified 3 files worth highlighting for reuse:

Implements the Phi Accrual Failure Detector for adaptive leader failure detection. This self-contained component eliminates the need for fixed timeout configurations by dynamically calculating suspicion levels based on heartbeat inter-arrival times. It demonstrates sophisticated distributed systems knowledge and could be extracted for use in any distributed system requiring failure detection.

file: sorock/src/process/control/failure_detector.rs ↗ | tags: #failure-detection #phi-accrual #adaptive-timeout

Implements a batched write storage system using Redb that queues entries across multiple shards and processes them in single transactions per table. The Reaper pattern efficiently batches writes while maintaining consistency, significantly improving throughput without sacrificing latency. This storage optimization is a key innovation that addresses the scalability limitations of naive Multi-Raft implementations.

file: sorock/src/log_storage/ ↗ | tags: #batched-writes #storage-optimization #transaction-batching

Reduces network overhead by multiplexing heartbeats from multiple Raft shards into batched RPCs. This component solves the O(N^2) heartbeat problem in Multi-Raft deployments by buffering heartbeats and sending them as a single batched message, then demultiplexing at the receiver. The implementation shows careful consideration of network efficiency in distributed consensus protocols.

file: sorock/src/node/communicator/heartbeat_multiplex.rs ↗ | tags: #heartbeat-multiplexing #rpc-optimization #network-efficiency
Last analyzed: 2026-08-11 03:15:02.321545
Next check: 2026-08-18 03:15:02.313322
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