Backend: Redshift

Source: R/backend-redshift.R

Base translations come from PostgreSQL backend. There are generally few differences, apart from string manipulation.

Use simulate_redshift() with lazy_frame() to see simulated SQL without converting to live access database.

simulate_redshift()

Examples

library(dplyr, warn.conflicts = FALSE)

lf <- lazy_frame(a = TRUE, b = 1, c = 2, d = "z", con = simulate_redshift())
lf %>% transmute(x = paste(c, " times"))

#> <SQL>
#> SELECT `c` || ' ' || ' times' AS `x`
#> FROM `df`
lf %>% transmute(x = substr(c, 2, 3))

#> <SQL>
#> SELECT SUBSTRING(`c`, 2, 2) AS `x`
#> FROM `df`
lf %>% transmute(x = str_replace_all(c, "a", "z"))

#> <SQL>
#> SELECT REGEXP_REPLACE(`c`, 'a', 'z') AS `x`
#> FROM `df`