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

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

dennishuo commented on issue #5512:
URL: https://github.com/apache/iceberg/issues/5512#issuecomment-1272205286

   @Hoeze For your use case is it sufficient to have a "temp view" on your iceberg table that's just available in the spark session that registers it?
   
   Assuming your Iceberg metadata is intact with a `metadata/v#.metadata.json` file under the base Iceberg table path, you should be able to do:
   
       spark.read.format("iceberg").load(iceberg_path).createOrReplaceTempView("my_view")
       spark.sql("select * from my_view")
       
   The iceberg_path should be the parent directory of `metadata/`.


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