Thanks Maxim, The code freeze by end of this month would be fine. Not sure about SPARK-36057 since the current state.
Thanks On Fri, 4 Mar 2022 at 19:27, Jungtaek Lim <kabhwan.opensou...@gmail.com> wrote: > Thanks Maxim for volunteering to drive the release! I support the plan > (March 15th) to perform a release branch cut. > > Btw, would we be open for modification of critical/blocker issues after > the release branch cut? I have a blocker JIRA ticket and the PR is open for > reviewing, but need some time to gain traction as well as going through > actual reviews. My guess is yes but to confirm again. > > On Fri, Mar 4, 2022 at 4:20 AM Dongjoon Hyun <dongjoon.h...@gmail.com> > wrote: > >> Thank you, Max, for volunteering for Apache Spark 3.3 release manager. >> >> Ya, I'm also +1 for the original plan. >> >> Dongjoon >> >> On Thu, Mar 3, 2022 at 10:52 AM Mridul Muralidharan <mri...@gmail.com> >> wrote: >> >>> >>> Agree with Sean, code freeze by mid March sounds good. >>> >>> Regards, >>> Mridul >>> >>> On Thu, Mar 3, 2022 at 12:47 PM Sean Owen <sro...@gmail.com> wrote: >>> >>>> I think it's fine to pursue the existing plan - code freeze in two >>>> weeks and try to close off key remaining issues. Final release pending on >>>> how those go, and testing, but fine to get the ball rolling. >>>> >>>> On Thu, Mar 3, 2022 at 12:45 PM Maxim Gekk >>>> <maxim.g...@databricks.com.invalid> wrote: >>>> >>>>> Hello All, >>>>> >>>>> I would like to bring on the table the theme about the new Spark >>>>> release 3.3. According to the public schedule at >>>>> https://spark.apache.org/versioning-policy.html, we planned to start >>>>> the code freeze and release branch cut on March 15th, 2022. Since this >>>>> date >>>>> is coming soon, I would like to take your attention on the topic and >>>>> gather >>>>> objections that you might have. >>>>> >>>>> Bellow is the list of ongoing and active SPIPs: >>>>> >>>>> Spark SQL: >>>>> - [SPARK-31357] DataSourceV2: Catalog API for view metadata >>>>> - [SPARK-35801] Row-level operations in Data Source V2 >>>>> - [SPARK-37166] Storage Partitioned Join >>>>> >>>>> Spark Core: >>>>> - [SPARK-20624] Add better handling for node shutdown >>>>> - [SPARK-25299] Use remote storage for persisting shuffle data >>>>> >>>>> PySpark: >>>>> - [SPARK-26413] RDD Arrow Support in Spark Core and PySpark >>>>> >>>>> Kubernetes: >>>>> - [SPARK-36057] Support Customized Kubernetes Schedulers >>>>> >>>>> Probably, we should finish if there are any remaining works for Spark >>>>> 3.3, and switch to QA mode, cut a branch and keep everything on track. I >>>>> would like to volunteer to help drive this process. >>>>> >>>>> Best regards, >>>>> Max Gekk >>>>> >>>> -- Sent from Gmail Mobile
