Re: [I] Update Table Error: UPDATE TABLE is not supported temporarily. [iceberg]

["gunarevuri (via GitHub)" <gi...@apache.org>]

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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