pabloggarc commented on issue #14585:
URL: https://github.com/apache/iceberg/issues/14585#issuecomment-4023586680

   I'm also facing the same issue in AWS Glue 5.0, when having a job which 
contains some SparkML inference, and then making an Iceberg MERGE operation. 
The only way I managed to run this kind of jobs is using 
`.checkpoint(eager=True)` before running the merge operation. 
   
   `INFO        2026-03-09T12:37:57,852 105451  
com.amazonaws.services.glue.ProcessLauncher     [main]  687     
ExceptionErrorMessage failureReason: Spark Error Class: 
INVALID_NON_DETERMINISTIC_EXPRESSIONS; AnalysisException: 
[INVALID_NON_DETERMINISTIC_EXPRESSIONS] The operator expects a deterministic 
expression, but the actual expression is "(((id_cliente = id_cliente) AND 
(fecha_limite = fecha_limite)) AND (fecha_inferencia = fecha_inferencia))", 
"exists(id_cliente, fecha_limite, fecha_inferencia)".; line 2 pos 8;
   `


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