[GitHub] [iceberg] Hoeze commented on issue #5512: Accessing Iceberg tables without catalog

[GitBox <gi...@apache.org>]

Hoeze commented on issue #5512:
URL: https://github.com/apache/iceberg/issues/5512#issuecomment-1260601855

   Hi, I would like to do (kind of) the same.
   Catalogs are very hard to maintain in my use case.
   
   Is it possible to open Iceberg tables like simple Parquet stores in PySpark?
   `spark.read.format("iceberg").load(iceberg_path)`


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