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Predicate pruning is a powerful technique to speed up queries by skipping entire files / pieces of work based on summary statistics of the data.
This issue proposes implementing predicate pruning for NOT LIKE expressions.
I'm not sure how much can be done here, I'm guessing not much. The one case I can think of is NOT LIKE 'prefix%' in the case that the min/max stats are prefixa and prefixb respectively or something. In this case we know that every row will match the LIKE expression.
To implement this you'll need to make a PR similar to #12978 and add fuzz tests (see #13253)
The text was updated successfully, but these errors were encountered:
Follow up to #507.
Predicate pruning is a powerful technique to speed up queries by skipping entire files / pieces of work based on summary statistics of the data.
This issue proposes implementing predicate pruning for
NOT LIKE
expressions.I'm not sure how much can be done here, I'm guessing not much. The one case I can think of is
NOT LIKE 'prefix%'
in the case that the min/max stats areprefixa
andprefixb
respectively or something. In this case we know that every row will match the LIKE expression.To implement this you'll need to make a PR similar to #12978 and add fuzz tests (see #13253)
The text was updated successfully, but these errors were encountered: