Hi Dongjoon, Should we also consider fixing https://issues.apache.org/jira/browse/SPARK-27812 before the cut?
Best, Stavros On Mon, Jul 15, 2019 at 7:04 PM Dongjoon Hyun <dongjoon.h...@gmail.com> wrote: > Hi, Apache Spark PMC members. > > Can we cut Apache Spark 2.4.4 next Monday (22nd July)? > > Bests, > Dongjoon. > > > On Fri, Jul 12, 2019 at 3:18 PM Dongjoon Hyun <dongjoon.h...@gmail.com> > wrote: > >> Thank you, Jacek. >> >> BTW, I added `@private` since we need PMC's help to make an Apache Spark >> release. >> >> Can I get more feedbacks from the other PMC members? >> >> Please me know if you have any concerns (e.g. Release date or Release >> manager?) >> >> As one of the community members, I assumed the followings (if we are on >> schedule). >> >> - 2.4.4 at the end of July >> - 2.3.4 at the end of August (since 2.3.0 was released at the end of >> February 2018) >> - 3.0.0 (possibily September?) >> - 3.1.0 (January 2020?) >> >> Bests, >> Dongjoon. >> >> >> On Thu, Jul 11, 2019 at 1:30 PM Jacek Laskowski <ja...@japila.pl> wrote: >> >>> Hi, >>> >>> Thanks Dongjoon Hyun for stepping up as a release manager! >>> Much appreciated. >>> >>> If there's a volunteer to cut a release, I'm always to support it. >>> >>> In addition, the more frequent releases the better for end users so they >>> have a choice to upgrade and have all the latest fixes or wait. It's their >>> call not ours (when we'd keep them waiting). >>> >>> My big 2 yes'es for the release! >>> >>> Jacek >>> >>> >>> On Tue, 9 Jul 2019, 18:15 Dongjoon Hyun, <dongjoon.h...@gmail.com> >>> wrote: >>> >>>> Hi, All. >>>> >>>> Spark 2.4.3 was released two months ago (8th May). >>>> >>>> As of today (9th July), there exist 45 fixes in `branch-2.4` including >>>> the following correctness or blocker issues. >>>> >>>> - SPARK-26038 Decimal toScalaBigInt/toJavaBigInteger not work for >>>> decimals not fitting in long >>>> - SPARK-26045 Error in the spark 2.4 release package with the >>>> spark-avro_2.11 dependency >>>> - SPARK-27798 from_avro can modify variables in other rows in local >>>> mode >>>> - SPARK-27907 HiveUDAF should return NULL in case of 0 rows >>>> - SPARK-28157 Make SHS clear KVStore LogInfo for the blacklist >>>> entries >>>> - SPARK-28308 CalendarInterval sub-second part should be padded >>>> before parsing >>>> >>>> It would be great if we can have Spark 2.4.4 before we are going to get >>>> busier for 3.0.0. >>>> If it's okay, I'd like to volunteer for an 2.4.4 release manager to >>>> roll it next Monday. (15th July). >>>> How do you think about this? >>>> >>>> Bests, >>>> Dongjoon. >>>> >>>
