[GitHub] [arrow] nealrichardson commented on pull request #14281: ARROW-17387: [R] Implement dplyr::across() inside filter()

[GitBox <gi...@apache.org>]

nealrichardson commented on PR #14281:
URL: https://github.com/apache/arrow/pull/14281#issuecomment-1276047306

   I don't think this is concerning. None of the TPC-H queries have the features that this PR adds support for, so there's not much extra work being added that would add meaningful time. I did a quick benchmark of the "fast" path of the function in question here, and it costs <1ms: 
   
   ```
   > q <- rlang:::quos(a + b, c + d, e - f, f(a, b, c))
   > bench::mark(arrow:::expand_across(list(), q))
   # A tibble: 1 × 13
     expression                            min median itr/s…¹ mem_a…² gc/se…³ n_itr
     <bch:expr>                       <bch:tm> <bch:>   <dbl> <bch:b>   <dbl> <int>
   1 arrow:::expand_across(list(), q)   87.4µs 91.5µs  10755.  42.9KB    43.7  4923
   ```


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