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I wrote a bespoke time-series database in Rust a few years ago, and it has
had exactly one issue since I stood it up in production, and that was due to
pessimistic filesystem access patterns, rather than the language. This thing
is handling hundreds of thousands of inserts per second, and it’s even
threaded.
Given that I’ve been programming professionally for over a decade in Python,
Perl, Ruby, C, C++, Javascript, Java, and Rust, I’ll pick Rust absolutely
any time that I want something running that I won’t get called at 3 AM to
fix. It probably took me 5 times as long to write it as if I did it in Go or
Python, but I guarantee it’s saved me 10 times as much time I would have
otherwise spent triaging, debugging, and running disaster recovery.
A Rust library for reading the OpenStreetMap PBF file format (*.osm.pbf). It
strives to offer the best performance using parallelization and
lazy-decoding with a simple interface while also exposing iterators for
items of every level in a PBF file.