corleyma commented on issue #17:
URL: https://github.com/apache/iceberg-python/issues/17#issuecomment-1970530722

   @Fokko We do a setup similar to this for integration tests, but the ability 
to write faster unit tests that depend only on a temp directory fixture in 
pytest has been great for our PySpark code.
   
   We had separately been using an InMemoryCatalog for unit tests of certain 
pyiceberg code, but now that we have more functions comingling pyspark and 
pyiceberg (ddl/metadata manipulation in pyiceberg), we are running into the 
limits of pyiceberg not supporting Hadoop catalog.
   
   I would love if we could add a file system catalog to PyIceberg compatible 
with PySpark and HadoopCatalog. It could be named and documented whichever way 
is needed to ensure folks know it's not a production catalog, but I think it's 
legitimately useful for testing purposes.


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