Github user liancheng commented on the issue:
https://github.com/apache/spark/pull/13371
@viirya One problem in your new benchmark code is that `1 << 50` is
actually very small since it's an `Int`:
```
scala> 1 << 50
res0: Int = 262144
```
Anyway, `1 << 50`, which is 1PB, might be too large a value for such a
microbenchmark :)
So the generated Parquet file probably only contains a single row group, I
guess that's why the numbers are quite close no matter you enable row group
filter push-down or not.
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