+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
