+1(non-binding), carried from kyuubi dev Best Regards,
Cheng Pan <cheng...@apache.org> 于2021年9月9日周四 下午5:39写道： > Hello Incubator Community, > > The Apache Kyuubi community has voted on and approved a proposal to release > Apache Kyuubi(Incubating) version v1.3.0-incubating RC9. > > We now kindly request the Incubator PMC members review and vote on this > incubator release. > > Kyuubi community vote thread: > https://www.mail-archive.com/dev@kyuubi.apache.org/msg00824.html > > Vote result thread: > https://www.mail-archive.com/dev@kyuubi.apache.org/msg00870.html > > [ ] +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 > > > 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/>.
