Hi All, Here is the allow list which I built based on your requests in this thread:
1. SPARK-37396: Inline type hint files for files in python/pyspark/mllib 2. SPARK-37395: Inline type hint files for files in python/pyspark/ml 3. SPARK-37093: Inline type hints python/pyspark/streaming 4. SPARK-37377: Refactor V2 Partitioning interface and remove deprecated usage of Distribution 5. SPARK-38085: DataSource V2: Handle DELETE commands for group-based sources 6. SPARK-32268: Bloom Filter Join 7. SPARK-38548: New SQL function: try_sum 8. SPARK-37691: Support ANSI Aggregation Function: percentile_disc 9. SPARK-38063: Support SQL split_part function 10. SPARK-28516: Data Type Formatting Functions: `to_char` 11. SPARK-38432: Refactor framework so as JDBC dialect could compile filter by self way 12. SPARK-34863: Support nested column in Spark Parquet vectorized readers 13. SPARK-38194: Make Yarn memory overhead factor configurable 14. SPARK-37618: Support cleaning up shuffle blocks from external shuffle service 15. SPARK-37831: Add task partition id in metrics 16. SPARK-37974: Implement vectorized DELTA_BYTE_ARRAY and DELTA_LENGTH_BYTE_ARRAY encodings for Parquet V2 support 17. SPARK-36664: Log time spent waiting for cluster resources 18. SPARK-34659: Web UI does not correctly get appId 19. SPARK-37650: Tell spark-env.sh the python interpreter 20. SPARK-38589: New SQL function: try_avg 21. SPARK-38590: New SQL function: try_to_binary 22. SPARK-34079: Improvement CTE table scan Best regards, Max Gekk On Thu, Mar 17, 2022 at 4:59 PM Tom Graves <tgraves...@yahoo.com> wrote: > Is the feature freeze target date March 22nd then? I saw a few dates > thrown around want to confirm what we landed on > > I am trying to get the following improvements finished review and in, if > concerns with either, let me know: > - [SPARK-34079][SQL] Merge non-correlated scalar subqueries > <https://github.com/apache/spark/pull/32298#> > - [SPARK-37618][CORE] Remove shuffle blocks using the shuffle service for > released executors <https://github.com/apache/spark/pull/35085#> > > Tom > > > On Thursday, March 17, 2022, 07:24:41 AM CDT, Gengliang Wang < > ltn...@gmail.com> wrote: > > > I'd like to add the following new SQL functions in the 3.3 release. These > functions are useful when overflow or encoding errors occur: > > - [SPARK-38548][SQL] New SQL function: try_sum > <https://github.com/apache/spark/pull/35848> > - [SPARK-38589][SQL] New SQL function: try_avg > <https://github.com/apache/spark/pull/35896> > - [SPARK-38590][SQL] New SQL function: try_to_binary > <https://github.com/apache/spark/pull/35897> > > Gengliang > > On Thu, Mar 17, 2022 at 7:59 AM Andrew Melo <andrew.m...@gmail.com> wrote: > > Hello, > > I've been trying for a bit to get the following two PRs merged and > into a release, and I'm having some difficulty moving them forward: > > https://github.com/apache/spark/pull/34903 - This passes the current > python interpreter to spark-env.sh to allow some currently-unavailable > customization to happen > https://github.com/apache/spark/pull/31774 - This fixes a bug in the > SparkUI reverse proxy-handling code where it does a greedy match for > "proxy" in the URL, and will mistakenly replace the App-ID in the > wrong place. > > I'm not exactly sure of how to get attention of PRs that have been > sitting around for a while, but these are really important to our > use-cases, and it would be nice to have them merged in. > > Cheers > Andrew > > On Wed, Mar 16, 2022 at 6:21 PM Holden Karau <hol...@pigscanfly.ca> wrote: > > > > I'd like to add/backport the logging in > https://github.com/apache/spark/pull/35881 PR so that when users submit > issues with dynamic allocation we can better debug what's going on. > > > > On Wed, Mar 16, 2022 at 3:45 PM Chao Sun <sunc...@apache.org> wrote: > >> > >> There is one item on our side that we want to backport to 3.3: > >> - vectorized DELTA_BYTE_ARRAY/DELTA_LENGTH_BYTE_ARRAY encodings for > >> Parquet V2 support (https://github.com/apache/spark/pull/35262) > >> > >> It's already reviewed and approved. > >> > >> On Wed, Mar 16, 2022 at 9:13 AM Tom Graves <tgraves...@yahoo.com.invalid> > wrote: > >> > > >> > It looks like the version hasn't been updated on master and still > shows 3.3.0-SNAPSHOT, can you please update that. > >> > > >> > Tom > >> > > >> > On Wednesday, March 16, 2022, 01:41:00 AM CDT, Maxim Gekk < > maxim.g...@databricks.com.invalid> wrote: > >> > > >> > > >> > Hi All, > >> > > >> > I have created the branch for Spark 3.3: > >> > https://github.com/apache/spark/commits/branch-3.3 > >> > > >> > Please, backport important fixes to it, and if you have some doubts, > ping me in the PR. Regarding new features, we are still building the allow > list for branch-3.3. > >> > > >> > Best regards, > >> > Max Gekk > >> > > >> > > >> > On Wed, Mar 16, 2022 at 5:51 AM Dongjoon Hyun < > dongjoon.h...@gmail.com> wrote: > >> > > >> > Yes, I agree with you for your whitelist approach for backporting. :) > >> > Thank you for summarizing. > >> > > >> > Thanks, > >> > Dongjoon. > >> > > >> > > >> > On Tue, Mar 15, 2022 at 4:20 PM Xiao Li <gatorsm...@gmail.com> wrote: > >> > > >> > I think I finally got your point. What you want to keep unchanged is > the branch cut date of Spark 3.3. Today? or this Friday? This is not a big > deal. > >> > > >> > My major concern is whether we should keep merging the feature work > or the dependency upgrade after the branch cut. To make our release time > more predictable, I am suggesting we should finalize the exception PR list > first, instead of merging them in an ad hoc way. In the past, we spent a > lot of time on the revert of the PRs that were merged after the branch cut. > I hope we can minimize unnecessary arguments in this release. Do you agree, > Dongjoon? > >> > > >> > > >> > > >> > Dongjoon Hyun <dongjoon.h...@gmail.com> 于2022年3月15日周二 15:55写道： > >> > > >> > That is not totally fine, Xiao. It sounds like you are asking a > change of plan without a proper reason. > >> > > >> > Although we cut the branch Today according our plan, you still can > collect the list and make a list of exceptions. I'm not blocking what you > want to do. > >> > > >> > Please let the community start to ramp down as we agreed before. > >> > > >> > Dongjoon > >> > > >> > > >> > > >> > On Tue, Mar 15, 2022 at 3:07 PM Xiao Li <gatorsm...@gmail.com> wrote: > >> > > >> > Please do not get me wrong. If we don't cut a branch, we are allowing > all patches to land Apache Spark 3.3. That is totally fine. After we cut > the branch, we should avoid merging the feature work. In the next three > days, let us collect the actively developed PRs that we want to make an > exception (i.e., merged to 3.3 after the upcoming branch cut). Does that > make sense? > >> > > >> > Dongjoon Hyun <dongjoon.h...@gmail.com> 于2022年3月15日周二 14:54写道： > >> > > >> > Xiao. You are working against what you are saying. > >> > If you don't cut a branch, it means you are allowing all patches to > land Apache Spark 3.3. No? > >> > > >> > > we need to avoid backporting the feature work that are not being > well discussed. > >> > > >> > > >> > > >> > On Tue, Mar 15, 2022 at 12:12 PM Xiao Li <gatorsm...@gmail.com> > wrote: > >> > > >> > Cutting the branch is simple, but we need to avoid backporting the > feature work that are not being well discussed. Not all the members are > actively following the dev list. I think we should wait 3 more days for > collecting the PR list before cutting the branch. > >> > > >> > BTW, there are very few 3.4-only feature work that will be affected. > >> > > >> > Xiao > >> > > >> > Dongjoon Hyun <dongjoon.h...@gmail.com> 于2022年3月15日周二 11:49写道： > >> > > >> > Hi, Max, Chao, Xiao, Holden and all. > >> > > >> > I have a different idea. > >> > > >> > Given the situation and small patch list, I don't think we need to > postpone the branch cut for those patches. It's easier to cut a branch-3.3 > and allow backporting. > >> > > >> > As of today, we already have an obvious Apache Spark 3.4 patch in the > branch together. This situation only becomes worse and worse because there > is no way to block the other patches from landing unintentionally if we > don't cut a branch. > >> > > >> > [SPARK-38335][SQL] Implement parser support for DEFAULT column > values > >> > > >> > Let's cut `branch-3.3` Today for Apache Spark 3.3.0 preparation. > >> > > >> > Best, > >> > Dongjoon. > >> > > >> > > >> > On Tue, Mar 15, 2022 at 10:17 AM Chao Sun <sunc...@apache.org> wrote: > >> > > >> > Cool, thanks for clarifying! > >> > > >> > On Tue, Mar 15, 2022 at 10:11 AM Xiao Li <gatorsm...@gmail.com> > wrote: > >> > >> > >> > >> For the following list: > >> > >> #35789 [SPARK-32268][SQL] Row-level Runtime Filtering > >> > >> #34659 [SPARK-34863][SQL] Support complex types for Parquet > vectorized reader > >> > >> #35848 [SPARK-38548][SQL] New SQL function: try_sum > >> > >> Do you mean we should include them, or exclude them from 3.3? > >> > > > >> > > > >> > > If possible, I hope these features can be shipped with Spark 3.3. > >> > > > >> > > > >> > > > >> > > Chao Sun <sunc...@apache.org> 于2022年3月15日周二 10:06写道： > >> > >> > >> > >> Hi Xiao, > >> > >> > >> > >> For the following list: > >> > >> > >> > >> #35789 [SPARK-32268][SQL] Row-level Runtime Filtering > >> > >> #34659 [SPARK-34863][SQL] Support complex types for Parquet > vectorized reader > >> > >> #35848 [SPARK-38548][SQL] New SQL function: try_sum > >> > >> > >> > >> Do you mean we should include them, or exclude them from 3.3? > >> > >> > >> > >> Thanks, > >> > >> Chao > >> > >> > >> > >> On Tue, Mar 15, 2022 at 9:56 AM Dongjoon Hyun < > dongjoon.h...@gmail.com> wrote: > >> > >> > > >> > >> > The following was tested and merged a few minutes ago. So, we > can remove it from the list. > >> > >> > > >> > >> > #35819 [SPARK-38524][SPARK-38553][K8S] Bump Volcano to v1.5.1 > >> > >> > > >> > >> > Thanks, > >> > >> > Dongjoon. > >> > >> > > >> > >> > On Tue, Mar 15, 2022 at 9:48 AM Xiao Li <gatorsm...@gmail.com> > wrote: > >> > >> >> > >> > >> >> Let me clarify my above suggestion. Maybe we can wait 3 more > days to collect the list of actively developed PRs that we want to merge to > 3.3 after the branch cut? > >> > >> >> > >> > >> >> Please do not rush to merge the PRs that are not fully > reviewed. We can cut the branch this Friday and continue merging the PRs > that have been discussed in this thread. Does that make sense? > >> > >> >> > >> > >> >> Xiao > >> > >> >> > >> > >> >> > >> > >> >> > >> > >> >> Holden Karau <hol...@pigscanfly.ca> 于2022年3月15日周二 09:10写道： > >> > >> >>> > >> > >> >>> May I suggest we push out one week (22nd) just to give > everyone a bit of breathing space? Rushed software development more often > results in bugs. > >> > >> >>> > >> > >> >>> On Tue, Mar 15, 2022 at 6:23 AM Yikun Jiang < > yikunk...@gmail.com> wrote: > >> > >> >>>> > >> > >> >>>> > To make our release time more predictable, let us collect > the PRs and wait three more days before the branch cut? > >> > >> >>>> > >> > >> >>>> For SPIP: Support Customized Kubernetes Schedulers: > >> > >> >>>> #35819 [SPARK-38524][SPARK-38553][K8S] Bump Volcano to v1.5.1 > >> > >> >>>> > >> > >> >>>> Three more days are OK for this from my view. > >> > >> >>>> > >> > >> >>>> Regards, > >> > >> >>>> Yikun > >> > >> >>> > >> > >> >>> -- > >> > >> >>> Twitter: https://twitter.com/holdenkarau > >> > >> >>> Books (Learning Spark, High Performance Spark, etc.): > https://amzn.to/2MaRAG9 > >> > >> >>> YouTube Live Streams: https://www.youtube.com/user/holdenkarau > > > > > > > > -- > > Twitter: https://twitter.com/holdenkarau > > Books (Learning Spark, High Performance Spark, etc.): > https://amzn.to/2MaRAG9 > > YouTube Live Streams: https://www.youtube.com/user/holdenkarau > > --------------------------------------------------------------------- > To unsubscribe e-mail: dev-unsubscr...@spark.apache.org > >
