Hi all! This is a great project idea and proposal. I have been following this within the Flink project and like the vision a lot. If another mentor would be needed, I can step in.
I also mentioned previously to the team members that this might just as well go TLP directly, but would respect their wish to go through incubation. Best, Stephan On 2023/02/24 03:48:22 Yu Li 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 >
