I was one of the maintainers for the Flink Iceberg connector in Iceberg repo. I can volunteer as one of the initial maintainers if we decide to move forward.
On Mon, Oct 17, 2022 at 3:26 PM <abmo.w...@icloud.com.invalid> wrote: > Hi Martijn, > > Yes, It is considered a connector in Flink terms. > > We wanted to join the Flink connector externalization effort so that we > can bring the Iceberg connector closer to the Flink community. We are > hoping any issues with the APIs for Iceberg connector will surface sooner > and get more attention from the Flink community when the connector is > within Flink umbrella rather than in Iceberg repo. Also to get better > feedback from Flink experts when it comes to things related to adding > things in a connector vs Flink itself. > > Thanks everyone for all your responses! Looking forward to the next steps. > > Thanks > Abid > > On 2022/10/14 03:37:09 Jark Wu wrote: > > Thank Abid for the discussion, > > > > I'm also fine with maintaining it under the Flink project. > > But I'm also interested in the response to Martijn's question. > > > > Besides, once the code is moved to the Flink project, are there any > initial > > maintainers for the connector we can find? > > In addition, do we still maintain documentation under Iceberg > > https://iceberg.apache.org/docs/latest/flink/ ? > > > > Best, > > Jark > > > > > > On Thu, 13 Oct 2022 at 17:52, yuxia <lu...@alumni.sjtu.edu.cn> wrote: > > > > > +1. Thanks for driving it. Hope I can find some chances to take part in > > > the future development of Iceberg Flink Connector. > > > > > > Best regards, > > > Yuxia > > > > > > ----- 原始邮件 ----- > > > 发件人: "Zheng Yu Chen" <ja...@gmail.com> > > > 收件人: "dev" <de...@flink.apache.org> > > > 发送时间: 星期四, 2022年 10 月 13日 上午 11:26:29 > > > 主题: Re: [Discuss]- Donate Iceberg Flink Connector > > > > > > +1, thanks to drive it > > > > > > Abid Mohammed <ab...@icloud.com.invalid> 于2022年10月10日周一 09:22写道： > > > > > > > Hi, > > > > > > > > I would like to start a discussion about contributing Iceberg Flink > > > > Connector to Flink. > > > > > > > > I created a doc < > > > > > > > > https://docs.google.com/document/d/1WC8xkPiVdwtsKL2VSPAUgzm9EjrPs8ZRjEtcwv93ISI/edit?usp=sharing > > > > > > > > with all the details following the Flink Connector template as I > don’t > > > have > > > > permissions to create a FLIP yet. > > > > High level details are captured below: > > > > > > > > Motivation: > > > > > > > > This FLIP aims to contribute the existing Apache Iceberg Flink > Connector > > > > to Flink. > > > > > > > > Apache Iceberg is an open table format for huge analytic datasets. > > > Iceberg > > > > adds tables to compute engines including Spark, Trino, PrestoDB, > Flink, > > > > Hive and Impala using a high-performance table format that works just > > > like > > > > a SQL table. > > > > Iceberg avoids unpleasant surprises. Schema evolution works and won’t > > > > inadvertently un-delete data. Users don’t need to know about > partitioning > > > > to get fast queries. Iceberg was designed to solve correctness > problems > > > in > > > > eventually-consistent cloud object stores. > > > > > > > > Iceberg supports both Flink’s DataStream API and Table API. Based on > the > > > > guideline of the Flink community, only the latest 2 minor versions > are > > > > actively maintained. See the Multi-Engine Support#apache-flink for > > > further > > > > details. > > > > > > > > > > > > Iceberg connector supports: > > > > > > > > • Source: detailed Source design < > > > > > > > > https://docs.google.com/document/d/1q6xaBxUPFwYsW9aXWxYUh7die6O7rDeAPFQcTAMQ0GM/edit# > > > >, > > > > based on FLIP-27 > > > > • Sink: detailed Sink design and interfaces used < > > > > > > > > https://docs.google.com/document/d/1O-dPaFct59wUWQECXEEYIkl9_MOoG3zTbC2V-fZRwrg/edit# > > > > > > > > > • Usable in both DataStream and Table API/SQL > > > > • DataStream read/append/overwrite > > > > • SQL create/alter/drop table, select, insert into, insert > > > > overwrite > > > > • Streaming or batch read in Java API > > > > • Support for Flink’s Python API > > > > > > > > See Iceberg Flink < > https://iceberg.apache.org/docs/latest/flink/#flink > > > >for > > > > detailed usage instructions. > > > > > > > > Looking forward to the discussion! > > > > > > > > Thanks > > > > Abid > > > > >
