Thanks guys ! 👍 2018년 11월 10일 (토) 오전 7:35, Bryan Cutler <cutl...@gmail.com>님이 작성:
> Great work Hyukjin! I'm not too familiar with R, but I'll take a look at > the PR. > > Bryan > > On Fri, Nov 9, 2018 at 9:19 AM Shivaram Venkataraman < > shiva...@eecs.berkeley.edu> wrote: > >> Thanks Hyukjin! Very cool results >> >> Shivaram >> On Fri, Nov 9, 2018 at 10:58 AM Felix Cheung <felixcheun...@hotmail.com> >> wrote: >> > >> > Very cool! >> > >> > >> > ________________________________ >> > From: Hyukjin Kwon <gurwls...@gmail.com> >> > Sent: Thursday, November 8, 2018 10:29 AM >> > To: dev >> > Subject: Arrow optimization in conversion from R DataFrame to Spark >> DataFrame >> > >> > Hi all, >> > >> > I am trying to introduce R Arrow optimization by reusing PySpark Arrow >> optimization. >> > >> > It boosts R DataFrame > Spark DataFrame up to roughly 900% ~ 1200% >> faster. >> > >> > Looks working fine so far; however, I would appreciate if you guys have >> some time to take a look (https://github.com/apache/spark/pull/22954) so >> that we can directly go ahead as soon as R API of Arrow is released. >> > >> > More importantly, I want some more people who're more into Arrow R API >> side but also interested in Spark side. I have already cc'ed some people I >> know but please come, review and discuss for both Spark side and Arrow side. >> > >> > Thanks. >> > >> >> --------------------------------------------------------------------- >> To unsubscribe e-mail: dev-unsubscr...@spark.apache.org >> >>
