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To answer your question about environmental and hardware factors - from the repo:
Results are determined by running the program on a Hetzner Cloud CCX33 instance (8 dedicated vCPU, 32 GB RAM). The time program is used for measuring execution times, i.e. end-to-end times are measured.
That seems to only be for the Java code
How fast though is Java versus other languages? A show and tell page has submissions in Rust, C#, Go, Python, PostgreSQL, Python, C, C++, and more. These are hard to compare with one another since they have been run on different hardware, but there are some impressive results, including one under 5 seconds done with C on an AMD laptop, and a C# solution that runs in 5.3 seconds on a Core i5-12500 with 6 cores.
The show and tell page is exactly that, show and tell; not a scientific or balanced comparison.
The original challenge only compared JDK solution in this way. Further down there is a link to another repo that does that same across many languages, and uses the same M1 MacBook Pro to run the tests.
I would assume they want to factor in startup time as well as IO handling overhead - raw disk IO should be the same given programs are run in the same environment.
