MysteriousPraetorian commented on issue #36274: URL: https://github.com/apache/arrow/issues/36274#issuecomment-1717669010
@paleolimbot You mentioned that the `std::shared_ptr<arrow::Table>` is built with very specific compiler flags, so for stability reasons, it is unlikely to be exposed. From a pure speed standpoint, does that mean that R will always be at a disadvantage relative to Python? My understanding is that it is possible to do a `std::shared_ptr<arrow::Table>` to `pyarrow::Table` cast, which means that there isn't any table copying going on. Perhaps I am misunderstanding the `as_record_batch_reader` call. Does the time complexity of that scale with the number of chunks or the number of entries or neither? Cheers, MysteriousPraetorian -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
