Thanks Dongjoon for volunteering, +1 for having 3.4.4. 2024년 10월 20일 (일) 오전 8:34, Dongjoon Hyun <dongj...@apache.org>님이 작성:
> Thank you, Holden, Liang-Chi, Huaxin, Jungtaek. > > We included SPARK-49829, SPARK-50021, SPARK-50022 and reverted SPARK-49909 > and SPARK-50011 to stabilize `branch-3.4`. As of now, all branch-3.4 CIs > are healthy. > > Commit Test: https://github.com/apache/spark/tree/branch-3.4 > Scala 2.13 Test: > https://github.com/apache/spark/actions/workflows/build_branch34.yml > Python Test: > https://github.com/apache/spark/actions/workflows/build_branch34_python.yml > > Since there is no other opinion, I'll prepare and start the Apache Spark > 3.4.4 RC1 on next Monday (2024-10-21). Thank you again for your help. > > Dongjoon. > > On 2024/10/17 02:44:35 Jungtaek Lim wrote: > > There is another open correctness issue for the 3.4 version line - PR is > up > > and approved by a non-committer, and I'm struggling to find a committer > to > > review and approve. > > > > Issue: https://issues.apache.org/jira/browse/SPARK-49829 > > PR: https://github.com/apache/spark/pull/48297 > > > > I'd propose to include this PR into Spark 3.4.4 before calling the 3.4 > > version line to be EOL. > > > > @Liang-Chi Hsieh <vii...@gmail.com> I hope you would be willing to > review > > the PR. Thanks in advance. > > > > 2024년 10월 17일 (목) 오전 6:16, huaxin gao <huaxin.ga...@gmail.com>님이 작성: > > > > > +1 > > > > > > On Wed, Oct 16, 2024 at 1:53 PM L. C. Hsieh <vii...@gmail.com> wrote: > > > > > >> +1 > > >> > > >> Thanks Dongjoon. > > >> > > >> > > >> On Wed, Oct 16, 2024 at 11:41 AM Holden Karau <holden.ka...@gmail.com > > > > >> wrote: > > >> > > > >> > +1 on a 3.4.4 EOL release > > >> > > > >> > On Wed, Oct 16, 2024 at 9:37 AM Dongjoon Hyun < > dongjoon.h...@gmail.com> > > >> wrote: > > >> >> > > >> >> Hi, All. > > >> >> > > >> >> Since the Apache Spark 3.4.0 RC7 vote passed on Apr 6, 2023, > > >> branch-3.4 has been maintained and served well until now. > > >> >> > > >> >> - https://github.com/apache/spark/releases/tag/v3.4.0 (tagged on > Apr > > >> 6, 2023) > > >> >> - https://lists.apache.org/thread/0o61jn9cmg6r0f22ljgjg5c31z8fn0zn > > >> (vote result on April 13th, 2023) > > >> >> > > >> >> As of today, branch-3.4 has 100 additional patches after v3.4.3 > > >> (tagged on April 14th about 6 month ago) and reaches the end-of-life > this > > >> month according to the Apache Spark release cadence, > > >> https://spark.apache.org/versioning-policy.html . > > >> >> > > >> >> $ git log --oneline v3.4.3..HEAD | wc -l > > >> >> 100 > > >> >> > > >> >> Moreover, there are seven unreleased correctness patches. > > >> >> > > >> >> SPARK-47927 Nullability after join not respected in UDF > > >> >> SPARK-48019 ColumnVectors with dictionaries and nulls are not > > >> read/copied correctly > > >> >> SPARK-48037 SortShuffleWriter lacks shuffle write related metrics > > >> resulting in potentially inaccurate data > > >> >> SPARK-48105 Fix the data corruption issue when state store unload > and > > >> snapshotting happens concurrently for HDFS state store > > >> >> SPARK-48965 toJSON produces wrong values if DecimalType > information is > > >> lost in as[Product] > > >> >> SPARK-49000 Aggregation with DISTINCT gives wrong results when > dealing > > >> with literals > > >> >> SPARK-49836 The outer query is broken when the subquery uses window > > >> function which receives time window as parameter > > >> >> > > >> >> Along with the recent Apache Spark 4.0.0-preview2 and 3.5.3 > releases, > > >> I hope the users can get a chance to have these last bits of Apache > Spark > > >> 3.4.x, and I'd like to propose to have Apache Spark 3.4.4 EOL Release > vote > > >> on October 21th and volunteer as the release manager. > > >> >> > > >> >> WDTY? > > >> >> > > >> >> Please let us know if you need more patches on branch-3.4. > > >> >> > > >> >> Thanks, > > >> >> Dongjoon. > > >> > > > >> > > > >> > > > >> > -- > > >> > Twitter: https://twitter.com/holdenkarau > > >> > Fight Health Insurance: https://www.fighthealthinsurance.com/ > > >> > Books (Learning Spark, High Performance Spark, etc.): > > >> https://amzn.to/2MaRAG9 > > >> > YouTube Live Streams: https://www.youtube.com/user/holdenkarau > > >> > Pronouns: she/her > > >> > > >> --------------------------------------------------------------------- > > >> To unsubscribe e-mail: dev-unsubscr...@spark.apache.org > > >> > > >> > > > > --------------------------------------------------------------------- > To unsubscribe e-mail: dev-unsubscr...@spark.apache.org > >
