Hello team, I have already updated the google doc: https://docs.google.com/document/d/1wjFsBdlV2YK75x7UOk2HhDOqWVA0yC7iEiqOMnNnxlA/edit?usp=sharing. If all looks good, I will raise a vote later this week. Thank you!
Qi Tan <qi.tan.j...@gmail.com> 于2025年3月18日周二 21:39写道： > Hello Reynold, I truly appreciate your time and attention to this > feature. For the performance, here are my thoughts: > > * As Serge mentioned above, Apache Spark needs to be aligned with other > competitive products. We should not overlook potential benefits just > because of performance regression. > > * Based on current chats from above google doc, I plan to add a new > DataType, allowing users to specify the precision, with the default > remaining at microseconds to minimize impact. > > * I will also include performance benchmarks as the subtask to help users > understand the trade-offs when increasing precision. > > On 2025/03/17 18:54:07 Reynold Xin wrote: > > Any thoughts on how to deal with performance here? Initially we didn't do > > nano level precision because of performance (would not be able to fit > > everything into a 64 bit int). > > > > On Mon, Mar 17, 2025 at 11:34 AM Sakthi <sa...@apache.org> wrote: > > > > > +1 (non-binding) > > > > > > On Mon, Mar 17, 2025 at 11:32 AM Zhou Jiang <zh...@gmail.com> > > > wrote: > > > > > >> +1 for the nanosecond support > > >> > > >> > > >> > On Mar 16, 2025, at 16:03, Dongjoon Hyun <do...@apache.org> wrote: > > >> > > > >> > +1 for supporting NanoSecond Timestamps. > > >> > > > >> > Thank you, Qi. > > >> > > > >> > Dongjoon. > > >> > > > >> > > --------------------------------------------------------------------- > > >> > To unsubscribe e-mail: dev-unsubscr...@spark.apache.org > > >> > > > >> > > >> --------------------------------------------------------------------- > > >> To unsubscribe e-mail: dev-unsubscr...@spark.apache.org > > >> > > >> > > > >
