pitrou commented on PR #40358: URL: https://github.com/apache/arrow/pull/40358#issuecomment-2012374041
Thanks for this @AlenkaF . I have two general suggestions here: 1) given that the types are purely physical here (i.e. float32 should use the same conversion code as int32 and uint32), we don't need to benchmark all numeric data types, we can limit ourselves to four integer types: int8, int16, int32, int64 2) on the other hand, it would be nice to exercise different numbers of columns, because that could affect conversion performance: for example 3, 30, 300? Does it make sense @AlenkaF @jorisvandenbossche ? -- 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]
