Hi Martijn, Yes catalog integration exists and catalogs can be created using Flink SQL. https://iceberg.apache.org/docs/latest/flink/#creating-catalogs-and-using-catalogs has more details. We may need some discussion within Iceberg community but based on the current iceberg-flink code structure we are looking to externalize this as well.
Thanks Abid On 2022/10/11 08:24:44 Martijn Visser wrote: > Hi Abid, > > Thanks for the FLIP. I have a question about Iceberg's Catalog: has that > integration between Flink and Iceberg been created already and are you > looking to externalize that as well? > > Thanks, > > Martijn > > On Tue, Oct 11, 2022 at 12:14 AM <ab...@icloud.com.invalid> wrote: > > > Hi Marton, > > > > Yes, we are initiating this as part of the Externalize Flink Connectors > > effort. Plan is to externalize the existing Flink connector from Iceberg > > repo into a separate repo under the Flink umbrella. > > > > Sorry about the doc permissions! I was able to create a FLIP-267: > > https://cwiki.apache.org/confluence/display/FLINK/FLIP+267%3A+Iceberg+Connector > > < > > https://cwiki.apache.org/confluence/display/FLINK/FLIP+267%3A+Iceberg+Connector > > > > > Lets use that to discuss. > > > > Thanks > > Abid > > > > On 2022/10/10 12:57:32 Márton Balassi wrote: > > > Hi Abid, > > > > > > Just to clarify does your suggestion mean that the Iceberg community > > would > > > like to remove the iceberg-flink connector from the Iceberg codebase and > > > maintain it under Flink instead? A new separate repo under the Flink > > > project umbrella given the current existing effort to extract connectors > > to > > > their individual repos (externalize) makes sense to me. > > > > > > [1] https://lists.apache.org/thread/mpzzlpob9ymkjfybm96vz2y2m5fjyvfo > > > > > > Best, > > > Marton > > > > > > > > > On Mon, Oct 10, 2022 at 5:31 AM Jingsong Li <ji...@gmail.com> wrote: > > > > > > > Thanks Abid for driving. > > > > > > > > +1 for this. > > > > > > > > Can you open the permissions for > > > > > > > > > > https://docs.google.com/document/d/1WC8xkPiVdwtsKL2VSPAUgzm9EjrPs8ZRjEtcwv93ISI/edit?usp=sharing > > > > ? > > > > > > > > Best, > > > > Jingsong > > > > > > > > On Mon, Oct 10, 2022 at 9:22 AM Abid Mohammed > > > > <ab...@icloud.com.invalid> wrote: > > > > > > > > > > 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 > > > > > > > >
