If there is no other volunteer for the release of 2.3.3, I'd like to. best, takeshi
On Fri, Jan 4, 2019 at 11:49 AM Dongjoon Hyun <dongjoon.h...@gmail.com> wrote: > Thank you, Sean! > > Bests, > Dongjoon. > > > On Thu, Jan 3, 2019 at 2:50 PM Sean Owen <sro...@gmail.com> wrote: > >> Yes, that one's not going to be back-ported to 2.3. I think it's fine to >> proceed with a 2.2 release with what's there now and call it done. >> Note that Spark 2.3 would be EOL around September of this year. >> >> On Thu, Jan 3, 2019 at 2:31 PM Dongjoon Hyun <dongjoon.h...@gmail.com> >> wrote: >> >>> Thank you for additional support for 2.2.3, Felix and Takeshi! >>> >>> >>> The following is the update for Apache Spark 2.2.3 release. >>> >>> For correctness issues, two more patches landed on `branch-2.2`. >>> >>> SPARK-22951 fix aggregation after dropDuplicates on empty >>> dataframes >>> SPARK-25591 Avoid overwriting deserialized accumulator >>> >>> Currently, if we use the following JIRA search query, there exist one >>> JIRA issue; SPARK-25206. >>> >>> Query: project = SPARK AND fixVersion in (2.3.0, 2.3.1, 2.3.2, >>> 2.3.3, 2.4.0, 2.4.1, 3.0.0) AND fixVersion not in (2.2.0, 2.2.1, 2.2.2, >>> 2.2.3) AND affectedVersion in (2.1.0, 2.1.1, 2.1.2, 2.1.3, 2.2.0, 2.2.1, >>> 2.2.2, 2.2.3) AND labels in (Correctness, correctness) >>> >>> SPARK-25206 ( https://issues.apache.org/jira/browse/SPARK-25206 ) has >>> >>> Affected Version: 2.2.2, 2.3.1 >>> Target Versions: 2.3.2, 2.4.0 >>> Fixed Version: 2.4.0 >>> >>> Although SPARK-25206 is labeled as a correctness issue, 2.3.2 already >>> missed it due to the technical difficulties and risks. Instead, it's marked >>> as a known issue. As we see, it's not targeted to 2.3.3, too. >>> >>> I know the correctness issue policy on new releases. However, for me, >>> Spark 2.2.3 is a little bit exceptional release since it's a farewell >>> release and branch-2.2 is already EOL and too far from the active branch >>> master. >>> >>> So, I'd like to put SPARK-25206 out of the scope of the farewell release >>> and recommend the users to use the other latest release. For example, Spark >>> 2.4.0 for SPARK-25206. >>> >>> How do you think about that? >>> >>> Bests, >>> Dongjoon. >>> >>>> >>>> -- --- Takeshi Yamamuro
