union_all() materializes on logical() columns

[valentingar]

When trying to combine two duckplyr_df together that have columns of type logical(), materialization appears to be forced.

library(duckplyr)
#> Warning: package 'duckplyr' was built under R version 4.5.3
#> Loading required package: dplyr
#> Warning: package 'dplyr' was built under R version 4.5.3
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union
#> The duckplyr package is configured to fall back to dplyr when it encounters an
#> incompatibility. Fallback events can be collected and uploaded for analysis to
#> guide future development. By default, data will be collected but no data will
#> be uploaded.
#> ℹ Automatic fallback uploading is not controlled and therefore disabled, see
#>   `?duckplyr::fallback()`.
#> ✔ Number of reports ready for upload: 1.
#> → Review with `duckplyr::fallback_review()`, upload with
#>   `duckplyr::fallback_upload()`.
#> ℹ Configure automatic uploading with `duckplyr::fallback_config()`.
#> ✔ Overwriting dplyr methods with duckplyr methods.
#> ℹ Turn off with `duckplyr::methods_restore()`.
    
    df1 <-
        tibble(a = c(1,2,3),
               logic_col = c(TRUE, FALSE, TRUE)
        ) |>
        as_duckdb_tibble(prudence = "stingy")
    
    df2 <-
        tibble(a = c(4,5,6),
               logic_col = c(TRUE, FALSE, TRUE)
        ) |>
        as_duckdb_tibble(prudence = "stingy")
    
    union_all(df1, df2)
#> Error:
#> ! Failed to evaluate glue component {vec_ptype_full(x_i)}
#> Caused by error:
#> ! Materialization is disabled, use `collect()` or `as_tibble()` to materialize.
#> ℹ Context: GetQueryResult

^{Created on 2026-07-01 with reprex v2.1.1}

[krlmlr]

Thanks. Root cause:

options(conflicts.policy = list(warn = FALSE))
library(duckplyr)
#> Loading required package: dplyr
#> ✔ Overwriting dplyr methods with duckplyr methods.
#> ℹ Turn off with `duckplyr::methods_restore()`.

df1 <-
  tibble(
    a = c(1, 2, 3),
    logic_col = c(TRUE, FALSE, TRUE)
  ) |>
  as_duckdb_tibble(prudence = "stingy")

vctrs::vec_ptype(df1$logic_col)
#> Error:
#> ! Materialization is disabled, use `collect()` or `as_tibble()` to materialize.
#> ℹ Context: GetQueryResult

^{Created on 2026-07-02 with reprex v2.1.1}

@DavisVaughan @lionel-: Can we please fix this in vctrs, at least for ALTREP vectors? Do you prefer an issue or a PR?

[krlmlr]

This is r-lib/vctrs#1956. I suspect we need to work around here.