+1 Thanks for driving this Dongjoon !
Regards, Mridul On Thu, Jul 7, 2022 at 12:36 AM Gengliang Wang <ltn...@gmail.com> wrote: > +1. > Thank you, Dongjoon. > > On Wed, Jul 6, 2022 at 10:21 PM Wenchen Fan <cloud0...@gmail.com> wrote: > >> +1 >> >> On Thu, Jul 7, 2022 at 10:41 AM Xinrong Meng >> <xinrong.m...@databricks.com.invalid> wrote: >> >>> +1 >>> >>> Thanks! >>> >>> >>> Xinrong Meng >>> >>> Software Engineer >>> >>> Databricks >>> >>> >>> On Wed, Jul 6, 2022 at 7:25 PM Xiao Li <gatorsm...@gmail.com> wrote: >>> >>>> +1 >>>> >>>> Xiao >>>> >>>> Cheng Su <scnj...@gmail.com> 于2022年7月6日周三 19:16写道： >>>> >>>>> +1 (non-binding) >>>>> >>>>> Thanks, >>>>> Cheng Su >>>>> >>>>> On Wed, Jul 6, 2022 at 6:01 PM Yuming Wang <wgy...@gmail.com> wrote: >>>>> >>>>>> +1 >>>>>> >>>>>> On Thu, Jul 7, 2022 at 5:53 AM Maxim Gekk >>>>>> <maxim.g...@databricks.com.invalid> wrote: >>>>>> >>>>>>> +1 >>>>>>> >>>>>>> On Thu, Jul 7, 2022 at 12:26 AM John Zhuge <jzh...@apache.org> >>>>>>> wrote: >>>>>>> >>>>>>>> +1 Thanks for the effort! >>>>>>>> >>>>>>>> On Wed, Jul 6, 2022 at 2:23 PM Bjørn Jørgensen < >>>>>>>> bjornjorgen...@gmail.com> wrote: >>>>>>>> >>>>>>>>> +1 >>>>>>>>> >>>>>>>>> ons. 6. jul. 2022, 23:05 skrev Hyukjin Kwon <gurwls...@gmail.com>: >>>>>>>>> >>>>>>>>>> Yeah +1 >>>>>>>>>> >>>>>>>>>> On Thu, Jul 7, 2022 at 5:40 AM Dongjoon Hyun < >>>>>>>>>> dongjoon.h...@gmail.com> wrote: >>>>>>>>>> >>>>>>>>>>> Hi, All. >>>>>>>>>>> >>>>>>>>>>> Since Apache Spark 3.2.1 tag creation (Jan 19), new 197 patches >>>>>>>>>>> including 11 correctness patches arrived at branch-3.2. >>>>>>>>>>> >>>>>>>>>>> Shall we make a new release, Apache Spark 3.2.2, as the third >>>>>>>>>>> release >>>>>>>>>>> at 3.2 line? I'd like to volunteer as the release manager for >>>>>>>>>>> Apache >>>>>>>>>>> Spark 3.2.2. I'm thinking about starting the first RC next week. >>>>>>>>>>> >>>>>>>>>>> $ git log --oneline v3.2.1..HEAD | wc -l >>>>>>>>>>> 197 >>>>>>>>>>> >>>>>>>>>>> # Correctness issues >>>>>>>>>>> >>>>>>>>>>> SPARK-38075 Hive script transform with order by and limit >>>>>>>>>>> will >>>>>>>>>>> return fake rows >>>>>>>>>>> SPARK-38204 All state operators are at a risk of >>>>>>>>>>> inconsistency >>>>>>>>>>> between state partitioning and operator partitioning >>>>>>>>>>> SPARK-38309 SHS has incorrect percentiles for shuffle read >>>>>>>>>>> bytes >>>>>>>>>>> and shuffle total blocks metrics >>>>>>>>>>> SPARK-38320 (flat)MapGroupsWithState can timeout groups >>>>>>>>>>> which just >>>>>>>>>>> received inputs in the same microbatch >>>>>>>>>>> SPARK-38614 After Spark update, df.show() shows incorrect >>>>>>>>>>> F.percent_rank results >>>>>>>>>>> SPARK-38655 OffsetWindowFunctionFrameBase cannot find the >>>>>>>>>>> offset >>>>>>>>>>> row whose input is not null >>>>>>>>>>> SPARK-38684 Stream-stream outer join has a possible >>>>>>>>>>> correctness >>>>>>>>>>> issue due to weakly read consistent on outer iterators >>>>>>>>>>> SPARK-39061 Incorrect results or NPE when using Inline >>>>>>>>>>> function >>>>>>>>>>> against an array of dynamically created structs >>>>>>>>>>> SPARK-39107 Silent change in regexp_replace's handling of >>>>>>>>>>> empty strings >>>>>>>>>>> SPARK-39259 Timestamps returned by now() and equivalent >>>>>>>>>>> functions >>>>>>>>>>> are not consistent in subqueries >>>>>>>>>>> SPARK-39293 The accumulator of ArrayAggregate should copy the >>>>>>>>>>> intermediate result if string, struct, array, or map >>>>>>>>>>> >>>>>>>>>>> Best, >>>>>>>>>>> Dongjoon. >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> --------------------------------------------------------------------- >>>>>>>>>>> To unsubscribe e-mail: dev-unsubscr...@spark.apache.org >>>>>>>>>>> >>>>>>>>>>> -- >>>>>>>> John Zhuge >>>>>>>> >>>>>>>
