szehon-ho commented on PR #49766:
URL: https://github.com/apache/spark/pull/49766#issuecomment-2784608521

   @guangyu-yang-rokt yea its right, by design in SPJ the number of Iceberg 
partitions is equal to number of Spark partitions, so sizing that is critical.  
There is an option to enable more parallelism in 
spark.sql.sources.v2.bucketing.partiallyClusteredDistribution.enabled, but it 
leads to more times the data read, and doesnt work in all cases (not FULL OUTER 
joins)


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