Thanks all for the comments and positive feedback. Let me start a vote. Best Regards, Yu
On Thu, 2 Mar 2023 at 20:42, Robert Metzger <rmetz...@apache.org> wrote: > Thanks for the proposal. I'm happy to act as a mentor for the project. > I respect the desire to go through the regular incubation process, and > maybe it is a good thing for the Paimon community to revisit some of the > processes and customs and develop their own style, independent of Flink as > part of the incubation process. > > I have no doubt regarding the technical or "community building" ability of > the initial team. > > > On Mon, Feb 27, 2023 at 2:49 PM Becket Qin <becket....@gmail.com> wrote: > > > I am really excited to see Paimon become an independent ASF incubation > > project, and I am happy to be a mentor of the project. > > > > Re Dave, > > > > The plan is to let Paimon eventually graduate as a TLP by itself. The > > project bootstrapped as a subproject of Flink because 1) it was designed > to > > provide a stream and batch unified storage which matches the vision of > > Flink as a stream and batch unified engine and 2) the project was > developed > > by the same team who is working on Flink. > > > > Now since there have been a few releases, we see strong and reasonable > use > > cases from the users letting Paimon (flink-table-store) work with engines > > other than Flink, such as Spark / Trino. Continuing to keep Paimon as a > > subject of Flink might unnecessarily limit the development of the project > > and is somewhat misleading to the users. Given its scope, we believe it > > makes a lot of sense for Paimon to get incubated on its own independent > of > > Flink. There has been a thorough discussion[1] and vote[2] about this > among > > the Flink PMC. > > > > Cheers, > > > > Jiangjie (Becket) Qin > > > > [1] https://lists.apache.org/thread/2ybxfg3zrzn4l3tnq3w2w3xvkhk0f9jk > > [2] https://lists.apache.org/thread/95wyc51rfmsqc9osc86q7zx3491m7bvt > > > > On Fri, Feb 24, 2023 at 12:10 PM Dave Fisher <wave4d...@comcast.net> > > wrote: > > > >> An interesting proposal. Since Paimon is already part of Apache Flink > >> does the podling intend to graduate as it’s own Top Level Project? Or, > is > >> the plan currently to become a subproject of Flink? I’m just curious. > Were > >> there any discussions within the Flink community about incubating > Paimon? > >> > >> Best Regards, > >> Dave > >> > >> Sent from my iPhone > >> > >> > On Feb 23, 2023, at 7:58 PM, Yu Li <car...@gmail.com> wrote: > >> > > >> > Revision: the hyperlink of the first reference is incorrect and > please > >> use > >> > the website address directly instead of clicking it (sorry for my > >> mistake). > >> > > >> > For easier reference: https://github.com/apache/flink-table-store > >> > > >> > Best Regards, > >> > Yu > >> > > >> > > >> >> On Fri, 24 Feb 2023 at 11:48, Yu Li <car...@gmail.com> wrote: > >> >> > >> >> Hi All, > >> >> > >> >> > >> >> I would like to propose Paimon [1] as a new apache incubator project, > >> and > >> >> you can find the proposal [2] of Paimon for more details. > >> >> > >> >> > >> >> Paimon is a unified lake storage to build dynamic tables for both > >> stream > >> >> and batch processing with big data compute engines (Apache Flink, > >> Apache > >> >> Spark, Apache > >> >> Hive, Trino, etc.), supporting high-speed data ingestion and > real-time > >> data query. > >> >> With the adoption of stream processing in production, there is an > >> increasing demand for storage to simultaneously support updates, deletes > >> and streaming reads, > >> >> which cannot be fully satisfied by existing lake storages. To tackle > >> these > >> >> new challenges, Paimon > >> >> natively adopts LSM (Log-Structured Merge-tree) as its underlying > data > >> structure, and provides enhanced performance for data with primary keys > >> >> (besides > >> >> the common lake storage capabilities). What's more, Paimon supports > >> both batch and stream operations (reads and writes), facilitating > >> applications pursuing batch-stream-unified semantics. Specifically: > >> >> > >> >> > >> >> 1. Paimon provides excellent performance on the intensive update > >> >> / delete workload, leveraging the append-write feature of the LSM > data > >> >> structure. > >> >> > >> >> 2. Paimon utilizes the ordered feature of LSM to support effective > >> filter > >> >> pushdown, and could reduce > >> >> the latency of queries with primary key filtering to milliseconds. > >> >> > >> >> 3. > >> >> Paimon supports various (row-based or row-columnar) file formats > >> including Apache Avro, Apache ORC and Apache Parquet (rows will be > sorted > >> by the primary key before writing out). > >> >> > >> >> 4. > >> >> Tables provided by Paimon can be queried by various engines, > including > >> Apache Flink, Apache Spark, Apache Hive, Trino, etc. > >> >> > >> >> 5. > >> >> Paimon's metadata is self-managed, stored on the distributed file > >> system and can be synchronized to Hive metastore (HMS). > >> >> > >> >> 6. > >> >> Besides the common batch read and write support, Paimon also supports > >> streaming read and change data feed. > >> >> > >> >> > >> >> > >> >> Paimon has been used by various users and companies, including > >> Alibaba, Bilibili, ByteDance and so on. Paimon is also integrated into > >> Alibaba Cloud's E-MapReduce and Realtime Compute products to provide > cloud > >> services. > >> >> > >> >> > >> >> Paimon was founded in the Flink community in 2022 with the name of > >> "Flink Table Store”. > >> >> It has been developed for more than one year and produced 4 formal > >> >> releases. As its adoption expands to more computing engines, some of > >> the ecology users express their concerns about the neutrality of the > >> project. This makes us rethink the positioning of Flink Table Store, > which > >> can be an independent lake storage. > >> >> > >> >> > >> >> With adequate discussions, we have got the support from the Flink > >> community to enter Apache incubation > >> >> [3] [4], with the below expectations: > >> >> > >> >> 1. > >> >> Expand Paimon's ecosystem, providing independent Java APIs to support > >> reading and writing from more big data engines such as Apache > >> >> Doris, Apache Hive, Apache Presto, Apache Spark, Trino, etc. > >> >> > >> >> 2. > >> >> Supplement key capabilities, especially streaming reads and intensive > >> updates/deletes, for creating a unified and easy-to-use streaming data > >> warehouse (lakehouse). > >> >> > >> >> 3. Grow into a more vibrant and neutral open source community. > >> >> > >> >> > >> >> And we believe the Paimon project will provide tremendous value for > the > >> >> community if it is introduced into the Apache incubator. > >> >> > >> >> > >> >> I will help this project as the champion and mentor the project > >> together > >> >> with three other mentors (many thanks): > >> >> > >> >> > >> >> * Becket Qin (j...@apache.org) > >> >> > >> >> * Robert Metzger (rmetz...@apache.org) > >> >> > >> >> * Stephan Ewen (se...@apache.org) > >> >> > >> >> > >> >> Look forward to your feedback. Thanks. > >> >> > >> >> > >> >> Best Regards, > >> >> Yu > >> >> > >> >> [1] https://github.com/apache/flink-table-store > >> >> <https://github.com/alibaba/RemoteShuffleService> > >> >> > >> >> [2] > >> https://cwiki.apache.org/confluence/display/INCUBATOR/PaimonProposal > >> >> > >> >> [3] https://lists.apache.org/thread/2ybxfg3zrzn4l3tnq3w2w3xvkhk0f9jk > >> >> > >> >> [4] https://lists.apache.org/thread/kn7c08cr4l0ynt551yfjqvzh5ns226r6 > >> >> > >> >> > >> >> > >> > >> >
