So, what's a good speed for CSV parsing? And what would people expect to get? I'm surveying the landscape and seeing a big range of functionality, from all-singing, all-dancing field recognition (date vs floating point vs int vs string) vs super-basic and/or wrong ...
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I also wrote up some stuff here, including alternative architectures:https://www.reddit.com/r/rust/comments/8ur32t/is_there_a_zerocopy_csv_parser_for_generic_csv/ …
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Agreed on real world data sets. That benchmark is terrible. God's gift to the branch-predictor by parsing almost the same line over and over! I took a look at your NFL thing and of course immediately barfed on CR-LF vs LF. Actually cheaper to do just LF of course.
End of conversation
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