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It appears that across(where(is.)),...) no longer works to convert columns based on the underlying type.
library(dplyr, warn.conflicts = FALSE) library(dbplyr, warn.conflicts = FALSE) temp <- memdb_frame(x = 1:10) temp #> # Source: table<dbplyr_001> [10 x 1] #> # Database: sqlite 3.33.0 [:memory:] #> x #> <int> #> 1 1 #> 2 2 #> 3 3 #> 4 4 #> 5 5 #> 6 6 #> 7 7 #> 8 8 #> 9 9 #> 10 10 temp %>% mutate(across(where(is.integer), as.character)) %>% sql_render() #> <SQL> SELECT * #> FROM `dbplyr_001`
While the expected generated query would be:
SELECT CAST(`x` AS TEXT) AS `x` FROM `dbplyr_001`
The text was updated successfully, but these errors were encountered:
across()
Predicates never really worked and already produced an error when used in select(). This error was missing for across() and is now added by #1170.
select()
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It appears that across(where(is.)),...) no longer works to convert columns based on the underlying type.
While the expected generated query would be:
The text was updated successfully, but these errors were encountered: