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Perhaps an option for non-random queries would be handy?
For example, I have a dataset that's text and the same dataset that's
stored as Parquet and I'd like to do a blanket comparison by running a set of queries
on both datasets.
Of course, a much more scientific approach for benchmarking should be used,
but at least if we know that Query #1 ran X times and Query #2 ran X times also, then we'd
be more confident in results over a set of time, rather than queries being executed at random.
The text was updated successfully, but these errors were encountered:
Perhaps an option for non-random queries would be handy?
For example, I have a dataset that's text and the same dataset that's
stored as Parquet and I'd like to do a blanket comparison by running a set of queries
on both datasets.
Of course, a much more scientific approach for benchmarking should be used,
but at least if we know that Query #1 ran X times and Query #2 ran X times also, then we'd
be more confident in results over a set of time, rather than queries being executed at random.
The text was updated successfully, but these errors were encountered: