Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/13701
Based on my understanding, this performance testing is highly affected by
the number of row groups, the number of pruned groups and the number of average
rows per group. Do you have any thought about how to control the number of rows
per group? Based on the test cases in
https://github.com/gatorsmile/spark/blob/9967cc72545324e7a542fcf1b49372d977c0011b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilterSuite.scala#L519-L547,
it sounds like each group has only one row... This is strange to me. Do you
know how to control it?
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