comphead commented on issue #3817:
URL: 
https://github.com/apache/datafusion-comet/issues/3817#issuecomment-4203253669

   The workaround is to play `spark.sql.files.maxPartitionBytes` to 64M which 
is half of default value.
   Fewer this setting the fewer the difference between Spark/Comet number of 
tasks that reads data. However the smaller setting it generates more idle scan 
tasks for both Spark/Comet. I'm not currently sure if PR is needed to solve this


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