[GitHub] [iceberg] a-agmon commented on issue #5593: Reading records inserted using Athena throws UOE exception when read using Spark (AWS)

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

a-agmon commented on issue #5593:
URL: https://github.com/apache/iceberg/issues/5593#issuecomment-1221481441

   confirming that the solution proposed by @singhpk234 works.
   creating the table as follows within Spark does not generate the issue and records now can be inserted from Athena and read by Spark. 
   
   ```scala
       val icebergDDL =
         """
           |CREATE TABLE IF NOT EXISTS my_catalog.default.iceberg_demo_1 (
           |    rec_id string,
           |    data string,
           |    category string)
           |USING iceberg
           |PARTITIONED BY (category)
           |TBLPROPERTIES ('read.parquet.vectorization.enabled'='false')
           |
           |""".stripMargin
   
       spark.sql(icebergDDL)
   ```
   Thank you very much! 
   
   Is there a way to create a table with this property enabled using Athena?  (more accurately using a python client - with AWS this is usually done via AWS wrangler that uses Athena Client SDK, which cannot run this property)


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