Github user rdblue commented on the issue:

    https://github.com/apache/spark/pull/13701
  
    @gatorsmile, sorry for the delay, I was evidently not getting notifications 
until I changed some settings yesterday.
    
    There are a few tests in Parquet that generate files with test data that 
would be appropriate. The simplest one is 
[TestReadWriteEncodingStats](https://github.com/apache/parquet-mr/blob/master/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/TestReadWriteEncodingStats.java#L85-94)
 where you can see how to build a file with at least one column that has stats 
you can verify filters with. To get it working for row groups, you'd just need 
to set the row group size to something small, like 8k, and bump up the number 
of records until you get a few groups.
    
    Unfortunately, we don't have any pre-built test cases you can use for a 
performance baseline, though. I think the best you can do with the data 
generation approach is validate that row groups are being filtered using an 
approach like you already have, counting the number of rows.


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