Hello, I was wondering whether anyone has tried and/or had any luck creating a custom catalog with Iceberg + Flink via the Python API ( https://iceberg.apache.org/flink/#custom-catalog)?
When doing so, the docs mention that dependencies need to be specified via *pipeline.jars* / *pipeline.classpaths* ( https://ci.apache.org/projects/flink/flink-docs-release-1.13/docs/dev/python/dependency_management/). I'm providing the iceberg flink runtime + the hadoop libs via those and I can confirm that I'm landing in the *FlinkCatalogFactory* but then things fail because it doesn't see the *hadoop dependencies* for some reason. What would be the right way to provide the *HADOOP_CLASSPATH* when using the Python API? I have a minimal code example that shows the issue here: https://gist.github.com/nastra/92bc3bc7b7037d956aa5807988078b8d#file-flink-py-L38 Thanks
