+1 I have verified,
- All links of the release files and their checksums are ok - svn checkout --depth=files " https://dist.apache.org/repos/dist/dev/incubator/kyuubi/v1.3.0-incubating-rc7/"; v1.3.0-incubating-rc7 - for i in *.tgz; do echo $i; gpg --print-md SHA512 $i; done - DISCLAIMER/LICENSE/NOTICE in source and binary releases are ok - the GPG signatures are ok - for i in *.tgz; do echo $i; gpg --verify $i.asc $i; done - incubating in resource names - build and test from the source release with the command below on my laptop - ./build/mvn clean install -Dmaven.javadoc.skip=true -V -Dspark.archive.mirror=https://mirrors.bfsu.edu.cn/apache/spark/spark-3.1.2 Cheng Pan <[email protected]> 于2021年9月7日周二 上午9:37写道： > Starting with my +1 > > Thanks, > Cheng Pan > > > On Mon, Sep 6, 2021 at 3:54 PM Cheng Pan <[email protected]> wrote: > > > Hello Apache Kyuubi PPMC and Community, > > > > Please vote on releasing the following candidate as > > Apache Kyuubi (Incubating) version v1.3.0-incubating. > > > > The VOTE will remain open for at least 72 hours. > > > > [ ] +1 Release this package as Apache Kyuubi v1.3.0-incubating > > [ ] +0 > > [ ] -1 Do not release this package because ... > > > > To learn more about Apache Kyuubi (Incubating), please see > > https://kyuubi.apache.org/ > > > > The tag to be voted on is v1.3.0-incubating-rc9 (commit ff9bab6): > > https://github.com/apache/incubator-kyuubi/tree/v1.3.0-incubating-rc9 > > > > The release files, including signatures, digests, etc. can be found at: > > > > > https://dist.apache.org/repos/dist/dev/incubator/kyuubi/v1.3.0-incubating-rc9/ > > > > Signatures used for Kyuubi RCs can be found in this file: > > https://dist.apache.org/repos/dist/dev/incubator/kyuubi/KEYS > > > > The staging repository for this release can be found at: > > https://repository.apache.org/content/repositories/orgapachekyuubi-1009/ > > > > The commit list since the RC7: > > > > > https://github.com/apache/incubator-kyuubi/compare/v1.3.0-incubating-rc7...v1.3.0-incubating-rc9 > > > > FAQ > > > > ================================= > > How can I help test this release? > > ================================= > > > > If you are a Kyuubi user, you can help us test this release by taking > > an existing Kyuubi workload and running on this release candidate, then > > reporting any regressions. > > > > 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 a out of date RC going forward). > > > > ============================================================== > > What should happen to GitHub issues still targeting v1.3.0-incubating? > > ============================================================== > > > > 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. > > > > > > Thanks, > > Cheng Pan > > > -- *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. itatchi <https://github.com/yaooqinn/spark-func-extras>A library that brings useful functions from various modern database management systems to Apache Spark <http://spark.apache.org/>.
