gunarevuri commented on issue #9960:
URL: https://github.com/apache/iceberg/issues/9960#issuecomment-3082294265

   I'm using EMR version 7.0.0, Spark 3.5.0, scala 2.12.17 facing the same 
error 
   -----------ERROR in EMR-----------
   org.apache.spark.SparkUnsupportedOperationException: UPDATE TABLE is not 
support                                                                         
                       ed temporarily.
     at 
org.apache.spark.sql.errors.QueryExecutionErrors$.ddlUnsupportedTemporarily     
                                                                                
           Error(QueryExecutionErrors.scala:1089)
     at 
org.apache.spark.sql.execution.SparkStrategies$BasicOperators$.apply(SparkS     
                                                                                
           trategies.scala:1055)
     at 
org.apache.spark.sql.catalyst.planning.QueryPlanner.$anonfun$plan$1(QueryPl     
                                                                                
           anner.scala:63)
     at scala.collection.Iterator$$anon$11.nextCur(Iterator.scala:486)
     at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:492)
     at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:491)
     at 
org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala     
                                                                                
           :93)
     at 
org.apache.spark.sql.execution.SparkStrategies.plan(SparkStrategies.scala:7     
                                                                                
           4)
     at 
org.apache.spark.sql.catalyst.planning.QueryPlanner.$anonfun$plan$3(QueryPl     
                                                                                
           anner.scala:78)
   
   -----------------------
   The same update command worked fine for me in EMR 6.14.0 version and iceberg 
1.3.1.
   
   
   Later i have made the schema evolution to false
   spark.sql("""ALTER TABLE {catalog}.{database}.{table_name} SET TBLPROPERTIES 
(
     'write.spark.accept-any-schema'='false'
   )""")
    and tried the same update command and worked for me. 
   
   seems like we have to make any-schema property to false and use update 
statement.
   
   


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