+1 On Tue, Feb 9, 2021 at 1:39 PM Sean Owen <sro...@apache.org> wrote:
> Same result as last time for me, +1. Tested with Java 11. > I fixed the two issues without assignee; one was WontFix though. > > On Mon, Feb 8, 2021 at 7:43 PM Hyukjin Kwon <gurwls...@gmail.com> wrote: > >> Let's set the assignees properly then. Shouldn't be a problem for the >> release. >> >> On Tue, 9 Feb 2021, 10:40 Yuming Wang, <wgy...@gmail.com> wrote: >> >>> >>> Many tickets do not have correct assignee: >>> >>> https://issues.apache.org/jira/issues/?jql=project%20%3D%20SPARK%20AND%20status%20in%20(Resolved%2C%20Closed)%20AND%20fixVersion%20in%20(3.1.0%2C%203.1.1)%20AND%20(assignee%20is%20EMPTY%20or%20assignee%20%3D%20apachespark) >>> >>> >>> On Tue, Feb 9, 2021 at 9:05 AM Hyukjin Kwon <gurwls...@gmail.com> wrote: >>> >>>> +1 (binding) from myself too. >>>> >>>> 2021년 2월 9일 (화) 오전 9:28, Kent Yao <yaooq...@qq.com>님이 작성: >>>> >>>>> >>>>> +1 >>>>> >>>>> *Kent Yao * >>>>> @ Data Science Center, Hangzhou Research Institute, NetEase Corp. >>>>> *a spark enthusiast* >>>>> *kyuubi <https://github.com/yaooqinn/kyuubi>is a >>>>> unified multi-tenant JDBC interface for large-scale data processing and >>>>> analytics, built on top of Apache Spark <http://spark.apache.org/>.* >>>>> *spark-authorizer <https://github.com/yaooqinn/spark-authorizer>A >>>>> Spark SQL extension which provides SQL Standard Authorization for **Apache >>>>> Spark <http://spark.apache.org/>.* >>>>> *spark-postgres <https://github.com/yaooqinn/spark-postgres> A library >>>>> for reading data from and transferring data to Postgres / Greenplum with >>>>> Spark SQL and DataFrames, 10~100x faster.* >>>>> *spark-func-extras <https://github.com/yaooqinn/spark-func-extras>A >>>>> library that brings excellent and useful functions from various modern >>>>> database management systems to Apache Spark <http://spark.apache.org/>.* >>>>> >>>>> >>>>> >>>>> On 02/9/2021 08:24，Hyukjin Kwon<gurwls...@gmail.com> >>>>> <gurwls...@gmail.com> wrote： >>>>> >>>>> Please vote on releasing the following candidate as Apache Spark >>>>> version 3.1.1. >>>>> >>>>> The vote is open until February 15th 5PM PST and passes if a majority >>>>> +1 PMC votes are cast, with a minimum of 3 +1 votes. >>>>> >>>>> Note that it is 7 days this time because it is a holiday season in >>>>> several countries including South Korea (where I live), China etc., and I >>>>> would like to make sure people do not miss it because it is a holiday >>>>> season. >>>>> >>>>> [ ] +1 Release this package as Apache Spark 3.1.1 >>>>> [ ] -1 Do not release this package because ... >>>>> >>>>> To learn more about Apache Spark, please see http://spark.apache.org/ >>>>> >>>>> The tag to be voted on is v3.1.1-rc2 (commit >>>>> cf0115ac2d60070399af481b14566f33d22ec45e): >>>>> https://github.com/apache/spark/tree/v3.1.1-rc2 >>>>> >>>>> The release files, including signatures, digests, etc. can be found at: >>>>> <https://dist.apache.org/repos/dist/dev/spark/v3.1.1-rc1-bin/> >>>>> https://dist.apache.org/repos/dist/dev/spark/v3.1.1-rc2-bin/ >>>>> >>>>> Signatures used for Spark RCs can be found in this file: >>>>> https://dist.apache.org/repos/dist/dev/spark/KEYS >>>>> >>>>> The staging repository for this release can be found at: >>>>> https://repository.apache.org/content/repositories/orgapachespark-1365 >>>>> >>>>> The documentation corresponding to this release can be found at: >>>>> https://dist.apache.org/repos/dist/dev/spark/v3.1.1-rc2-docs/ >>>>> >>>>> The list of bug fixes going into 3.1.1 can be found at the following >>>>> URL: >>>>> https://s.apache.org/41kf2 >>>>> >>>>> This release is using the release script of the tag v3.1.1-rc2. >>>>> >>>>> FAQ >>>>> >>>>> =================== >>>>> What happened to 3.1.0? >>>>> =================== >>>>> >>>>> There was a technical issue during Apache Spark 3.1.0 preparation, and >>>>> it was discussed and decided to skip 3.1.0. >>>>> Please see >>>>> https://spark.apache.org/news/next-official-release-spark-3.1.1.html for >>>>> more details. >>>>> >>>>> ========================= >>>>> How can I help test this release? >>>>> ========================= >>>>> >>>>> If you are a Spark user, you can help us test this release by taking >>>>> an existing Spark workload and running on this release candidate, then >>>>> reporting any regressions. >>>>> >>>>> If you're working in PySpark you can set up a virtual env and install >>>>> the current RC via "pip install >>>>> https://dist.apache.org/repos/dist/dev/spark/v3.1.1-rc2-bin/pyspark-3.1.1.tar.gz >>>>> " >>>>> and see if anything important breaks. >>>>> In the Java/Scala, you can add the staging repository to your projects >>>>> resolvers and test >>>>> with the RC (make sure to clean up the artifact cache before/after so >>>>> you don't end up building with an out of date RC going forward). >>>>> >>>>> =========================================== >>>>> What should happen to JIRA tickets still targeting 3.1.1? >>>>> =========================================== >>>>> >>>>> The current list of open tickets targeted at 3.1.1 can be found at: >>>>> https://issues.apache.org/jira/projects/SPARK and search for "Target >>>>> Version/s" = 3.1.1 >>>>> >>>>> Committers should look at those and triage. Extremely important bug >>>>> fixes, documentation, and API tweaks that impact compatibility should >>>>> be worked on immediately. Everything else please retarget to an >>>>> appropriate release. >>>>> >>>>> ================== >>>>> But my bug isn't fixed? >>>>> ================== >>>>> >>>>> In order to make timely releases, we will typically not hold the >>>>> release unless the bug in question is a regression from the previous >>>>> release. That being said, if there is something which is a regression >>>>> that has not been correctly targeted please ping me or a committer to >>>>> help target the issue. >>>>> >>>>> >>>>>
