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deepmind.google·6d ago
AI Engineering
Lobsters·Jun 25·5 min read
Announcing Silk: a silky smooth fiber runtime for ClickHouse
TL;DR
As distributed systems grow, asynchronous I/O becomes a bottleneck due to the limitations of traditional threading. Silk, a C++ library, introduces a stackful-fiber runtime with a cooperative scheduler optimized for high-concurrency I/O in ClickHouse.
✦ Why It Matters
Engineers can leverage Silk to optimize I/O performance in high-concurrency applications like ClickHouse.
Key Takeaways
- Explore Silk for efficient I/O handling in distributed systems.
- Utilize cooperative multitasking to improve concurrency in applications.
- Implement io_uring for better asynchronous I/O performance.
- Consider stackful fibers for high-load scenarios to avoid heap allocation.
Full Summary
Distributed systems are increasingly challenged by the inefficiencies of traditional threading models, particularly in handling asynchronous I/O. To address this, Silk was developed as a stackful-fiber library and scheduler specifically for ClickHouse, a columnar database management system.
Silk employs a NUMA-aware (Non-Uniform Memory Access) work-stealing loop and utilizes io_uring, a Linux kernel interface for asynchronous I/O, to enhance performance. By allowing fibers to yield control rather than block, Silk improves concurrency and reduces latency in I/O operations.
The library is designed to operate without heap allocation during steady-state execution, which is crucial for maintaining performance in high-load scenarios. Initial integration efforts focus on enhancing ClickHouse's distributed cache, promising significant improvements in data retrieval speeds.
This development positions Silk as a modern solution in the lineage of Cilk, a pioneering work-stealing scheduler.