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There is no real reason not to anymore.
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Loading large Arrow tables was very slow. Profiling showed it was due to a warning log message from Arrow.jl about time having a nanosecond precision, lower than DateTime which has millisecond precision. This warning was harmless, only annoying and apparently super slow. It started appearing after going back to Pandas defaults in #2450.
Upstream issue: apache/arrow-julia#559
This avoids that by passing
convert = falseto Arrow.Table, and doing the conversion with our own function that doesn't have this log.