fred1268 commented on code in PR #21825:
URL: https://github.com/apache/datafusion/pull/21825#discussion_r3147266706


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datafusion/datasource-parquet/src/file_format.rs:
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@@ -1599,6 +1650,7 @@ fn spawn_rg_join_and_finalize_task(
 /// on the next row group in parallel. So, parquet serialization is 
parallelized
 /// across both columns and row_groups, with a theoretical max number of 
parallel tasks
 /// given by n_columns * num_row_groups.
+#[expect(clippy::too_many_arguments)]
 fn spawn_parquet_parallel_serialization_task(

Review Comment:
   I didn't like this, but wanted to have some community thinking about this. I 
implemented a slightly different version of your proposal, but I did not 
include `encoding_time` inside of it since what's inside are more _input 
parameters_ and `encoding_time` is more of an output parameter. So I left it 
outside the struct. Let me know if this is what you had in mind.



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