Re: Welcome Yikun Jiang as a Spark committer

2022-10-07 Thread Jungtaek Lim
Congrats! 2022년 10월 8일 (토) 오후 3:24, huaxin gao 님이 작성: > Congratulations! > > On Fri, Oct 7, 2022 at 11:22 PM Yang,Jie(INF) wrote: > >> Congratulations Yikun! >> >> Regards, >> Yang Jie >> -- >> *发件人:* Mridul Muralidharan >> *发送时间:* 2022年10月8日 14:16:02 >> *收件人:* Yumin

Re: Welcome Yikun Jiang as a Spark committer

2022-10-07 Thread huaxin gao
Congratulations! On Fri, Oct 7, 2022 at 11:22 PM Yang,Jie(INF) wrote: > Congratulations Yikun! > > Regards, > Yang Jie > -- > *发件人:* Mridul Muralidharan > *发送时间:* 2022年10月8日 14:16:02 > *收件人:* Yuming Wang > *抄送:* Hyukjin Kwon; dev; Yikun Jiang > *主题:* Re: Welcome Yiku

答复: Welcome Yikun Jiang as a Spark committer

2022-10-07 Thread Yang,Jie(INF)
Congratulations Yikun! Regards, Yang Jie 发件人: Mridul Muralidharan 发送时间: 2022年10月8日 14:16:02 收件人: Yuming Wang 抄送: Hyukjin Kwon; dev; Yikun Jiang 主题: Re: Welcome Yikun Jiang as a Spark committer Congratulations ! Regards, Mridul On Sat, Oct 8, 2022 at 12:19 AM

Re: Welcome Yikun Jiang as a Spark committer

2022-10-07 Thread Mridul Muralidharan
Congratulations ! Regards, Mridul On Sat, Oct 8, 2022 at 12:19 AM Yuming Wang wrote: > Congratulations Yikun! > > On Sat, Oct 8, 2022 at 12:40 PM Hyukjin Kwon wrote: > >> Hi all, >> >> The Spark PMC recently added Yikun Jiang as a committer on the project. >> Yikun is the major contributor of

Re: Welcome Yikun Jiang as a Spark committer

2022-10-07 Thread Yuming Wang
Congratulations Yikun! On Sat, Oct 8, 2022 at 12:40 PM Hyukjin Kwon wrote: > Hi all, > > The Spark PMC recently added Yikun Jiang as a committer on the project. > Yikun is the major contributor of the infrastructure and GitHub Actions in > Apache Spark as well as Kubernates and PySpark. > He has

Welcome Yikun Jiang as a Spark committer

2022-10-07 Thread Hyukjin Kwon
Hi all, The Spark PMC recently added Yikun Jiang as a committer on the project. Yikun is the major contributor of the infrastructure and GitHub Actions in Apache Spark as well as Kubernates and PySpark. He has put a lot of effort into stabilizing and optimizing the builds so we all can work togeth