sungwy commented on issue #1247:
URL: 
https://github.com/apache/iceberg-python/issues/1247#issuecomment-2447112519

   Hi @kevinjqliu thanks for raising this. From the 
[docs](https://iceberg.apache.org/docs/latest/spark-ddl/#alter-table-write-ordered-by)
 I'm understanding that sort order is purely suggestive, and it is up to the 
engines to decide if they will attempt to use the sort-order on write. It says:
   
   "Iceberg tables can be configured with a sort order that is **used to 
automatically sort data that is written to the table in some engines**. For 
example, MERGE INTO in Spark will use the table ordering."
   
   Would blocking the writes be the correct solution here, or should we just 
emit a warning log that PyIceberg doesn't respect sort orders?


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