Async Rust in Practice: Performance, Pitfalls, Profiling
Since then, its development and adoption accelerated a lot. We’ve added many new features and published a couple of releases on crates.io. Along the way, we also stumbled upon a few interesting performance bottlenecks to investigate and overcome — read on for more details.
A few weeks ago, an interesting issue appeared on our GitHub tracker. It was reported that, despite our care in designing the driver to be efficient, it proved to be unpleasantly slower than one of the competing drivers, cassandra-cpp, which is a Rust wrapper of a C++ CQL driver. The author of latte, a latency tester for Cassandra (and Scylla), pointed out that switching the back-end from cassandra-cpp to scylla-rust-driver resulted in an unacceptable performance regression. Time to investigate!
At first, we were unable to reproduce the issue – all experiments seemed to prove that scylla-rust-driver is at least as fast as the other drivers, and often provides better throughput and latency than all the tested alternatives.
