[ https://issues.apache.org/jira/browse/ARROW-16007?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Jonathan Keane resolved ARROW-16007.
------------------------------------
Fix Version/s: 8.0.0
Resolution: Fixed
Issue resolved by pull request 12711
[https://github.com/apache/arrow/pull/12711]
> [R] binding for grepl has different behaviour with NA compared to R base grepl
> ------------------------------------------------------------------------------
>
> Key: ARROW-16007
> URL: https://issues.apache.org/jira/browse/ARROW-16007
> Project: Apache Arrow
> Issue Type: Improvement
> Components: R
> Affects Versions: 7.0.0
> Reporter: Andy Teucher
> Assignee: Andy Teucher
> Priority: Minor
> Labels: pull-request-available
> Fix For: 8.0.0
>
> Time Spent: 2h 10m
> Remaining Estimate: 0h
>
> The arrow binding to {{grepl}} behaves slightly differently than the base R {{{}grepl{}}}, in that it returns {{NA}} for {{NA}} inputs, whereas base {{grepl}} returns {{{}FALSE with NA inputs. arrow's implementation is consistent with stringr::str_detect(){}}}, and both {{str_detect()}} and {{grepl()}} are bound to {{match_substring_regex}} and {{match_substring}} in arrow.
> I don't know if this is something you would want to change so that the {{grepl}} behaviour aligns with base {{{}grepl{}}}, or simply document this difference?
> Reprex:
>
> {code:r}
> library(arrow, warn.conflicts = FALSE, quietly = TRUE)
> library(dplyr, warn.conflicts = FALSE, quietly = TRUE)
> library(stringr, quietly = TRUE)
> alpha_df <- data.frame(alpha = c("alpha", "bet", NA_character_))
> alpha_dataset <- InMemoryDataset$create(alpha_df)
> mutate(alpha_df,
> grepl_is_a = grepl("a", alpha),
> stringr_is_a = str_detect(alpha, "a"))
> #> alpha grepl_is_a stringr_is_a
> #> 1 alpha TRUE TRUE
> #> 2 bet FALSE FALSE
> #> 3 <NA> FALSE NA
> mutate(alpha_dataset,
> grepl_is_a = grepl("a", alpha),
> stringr_is_a = str_detect(alpha, "a")) |>
> collect()
> #> alpha grepl_is_a stringr_is_a
> #> 1 alpha TRUE TRUE
> #> 2 bet FALSE FALSE
> #> 3 <NA> NA NA
> # base R grepl returns FALSE for NA
> grepl("a", alpha_df$alpha) # bound to arrow_match_substring_regex
> #> [1] TRUE FALSE FALSE
> grepl("a", alpha_df$alpha, fixed = TRUE) # bound to arrow_match_substring
> #> [1] TRUE FALSE FALSE
> # stringr::str_dectect returns NA for NA
> str_detect(alpha_df$alpha, "a")
> #> [1] TRUE FALSE NA
> alpha_array <- Array$create(alpha_df$alpha)
> # arrow functions return null for null (NA)
> call_function("match_substring_regex", alpha_array, options = list(pattern = "a"))
> #> Array
> #> <bool>
> #> [
> #> true,
> #> false,
> #> null
> #> ]
> call_function("match_substring", alpha_array, options = list(pattern = "a"))
> #> Array
> #> <bool>
> #> [
> #> true,
> #> false,
> #> null
> #> ]
> {code}
>
>
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