Hi Atri Sharma, Thanks for your interest and review.
We've open-sourced Kyuubi under Apache License v2.0 and tried out best to learn the Apache Way from many mature ASF TLPs, mostly Apache Spark. And many of the current Kyuubi committers have contributing history for one or more Apache projects. We use Github a lot, so most things happen on these open lists: - Issue track: https://github.com/NetEase/kyuubi/issues - Pull request: https://github.com/NetEase/kyuubi/pulls - Other staffs: https://github.com/NetEase/kyuubi/discussions And particularly for your question about the commit history of Kyuubi for the last 3 months, you can find it and the activities of our committers from https://github.com/NetEase/kyuubi/commits/master, and we have kept both the original authors(leading-, co-) and the committer who signed-off the commit. Another to check this is using `git log --pretty=format:"rev:%h,author:%an,commiter:%cn,date:%ar"` with our codebase forked to your local environment if the Github page does not offer enough information for you. I have to admit that the Kyuubi and its community are still young. One of the major efforts we should make in the near future is to increase the size and diversity of our community, hopefully, with the help of Apache Incubator. Bests, Kent Yao Atri Sharma <a...@apache.org> 于2021年6月1日周二 下午10:52写道： > Hi, > > I took a look at commit log and seems like all the commits for last 3 > months have been done by a single person. > > How active are the remaining committers? > > On Mon, 31 May 2021, 12:59 Kent Yao, <y...@apache.org> wrote: > > > Hi Alexander Alten, > > > > Thanks for your interest and +1 for Kyuubi. > > > > Not being very familiar with Dremel, I just took a quick look at the > > profile of a very similar and exciting project, Apache Drill. If I > > understand correctly, Kyuubi is built on top of the compute layer > > (Apache Spark), while Apache Drill is built on top of the storage > > layer. > > > > Apache Spark has a large user base and usage scenarios all over the > > world. When users have some basic Spark programming and tuning skills, > > things are easy for them. But many times, most users do not have all > > of these abilities when they use Spark directly or indirectly. We want > > to build a more easy-to-use platform on top of it to help these users. > > On the one hand, we will work on the interface layer to make it easy > > to access (of course, this effort will make our project look very > > similar to other projects, such as HiveServer2). On the other hand, we > > will work under Kyuubi's multi-tenant architecture to extend our > > on-prem Spark SQL engine(a.k.a Kyuubi engine) to make it more stable > > and efficient in our scenario. > > > > What's more, we are going to add more on-prem Kyuubi engine types, e.g. > > Flink. > > > > Alexander Alten <a...@scalytics.io> 于2021年5月31日周一 下午2:35写道： > > > > > > > > Hey, > > > > > > Looks like an interesting project, competition to Starburst. How does > it > > > compare to Apache Dremel? > > > > > > +1 (non-binding) for incubation. > > > > > > Thanks and stay safe, > > > --alex > > > > > > On Mon, May 31, 2021, 08:21 Kent Yao <y...@apache.org> wrote: > > > > > > > Dear all, > > > > > > > > We want to propose Kyuubi as a new Apache Incubator project. > > > > > > > > Kyuubi is a distributed multi-tenant Thrift JDBC/ODBC server for > > > > large-scale data management, processing, and analytics, built on top > > > > of Apache Spark and designed to support more engines (i.e., Apache > > > > Flink). We are aiming to make Kyuubi an "out-of-the-box" tool for > data > > > > warehouses and data lakes. Kyuubi concentrates on improving the > > > > experience for non-Spark users, making it easy for them to use Spark > > > > as a service and focus on business data of their own, not where it > > > > stores, how it computes. NetEase has open-sourced Kyuubi since 2018, > > > > https://github.com/NetEase/kyuubi. > > > > > > > > Many thanks to Willem Jiang (Champion), Jeff Zhang, Duo Zhang, Akira > > > > Ajisaka for being the mentors of the Kyuubi project and helping us > set > > > > up this proposal. The proposal can be found at > > > > https://cwiki.apache.org/confluence/display/INCUBATOR/KyuubiProposal > . > > > > > > > > Looking forward to your feedback and thank you very much. > > > > > > > > Best regards, > > > > Kent Yao > > > > > > > > --------------------------------------------------------------------- > > > > To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org > > > > For additional commands, e-mail: general-h...@incubator.apache.org > > > > > > > > > > > > > > > > -- > > > > Kent Yao > > @ Data Science Center, Hangzhou Research Institute, NetEase Corp. > > a spark enthusiast > > kyuubiis a unified multi-tenant JDBC interface for large-scale data > > processing and analytics, built on top of Apache Spark. > > > > spark-authorizerA Spark SQL extension which provides SQL Standard > > Authorization for Apache Spark. > > spark-postgres A library for reading data from and transferring data > > to Postgres / Greenplum with Spark SQL and DataFrames, 10~100x faster. > > itatchiA library that brings useful functions from various modern > > database management systems to Apache Spark. > > > > --------------------------------------------------------------------- > > To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org > > For additional commands, e-mail: general-h...@incubator.apache.org > > > > > -- *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/>.
