RussellSpitzer commented on issue #15754:
URL: https://github.com/apache/iceberg/issues/15754#issuecomment-4121028993

   We use the RollingFileWriter to actually decide when to cut a new file. This 
is wired directly into the parquet writer's buffers and on disk representation. 
We check every so often (see the % row_divisor) to see whether the on disk data 
+ buffer has exceed our target file size. 
   
   RollingFileWriter 
   
https://github.com/apache/iceberg/blob/bea3f8b58cebe1458d8edb2172287cae0a04cb38/core/src/main/java/org/apache/iceberg/io/RollingFileWriter.java#L103-L104
   
   ParquetWriter- onDiskSize (pos) + uncompressed unwritten portion (buffered)
   
https://github.com/apache/iceberg/blob/fec9800bcc0c4073ca727f3b3bfdc2f34abb26a3/parquet/src/main/java/org/apache/iceberg/parquet/ParquetWriter.java#L163-L182
   
   Now this is all tied to whether or not the writer has enough data to fill a 
file and roll over. For example, a spark task with 10GB of uncompressed data 
which compresses to 10MB will still only write a 10mb file. 
   
   TLDR; 
   write.target-file-size-bytes is "compressed size". 


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