library(sparklyr)
sc <- spark_connect(master = "local", version = "3.0.0")
df <- tibble::tibble(
x = list(c(1, 2, 3, 4, 5), c(6, 7, 8, 9, 10)),
y = list(c(1, 4, 2, 8, 5), c(7, 1, 4, 2, 8)),
)
sdf <- sdf_copy_to(sc, df, overwrite = TRUE)
all_positive_tbl <- sdf %>%
hof_forall(pred = ~ .x > 0, expr = y, dest_col = all_positive) %>%
dplyr::select(all_positive)
Checks whether all elements in an array satisfy a predicate
R/dplyr_hof.R
hof_forall
Description
Checks whether the predicate specified holds for all elements in an array (this is essentially a dplyr wrapper to the forall(expr, pred) higher- order function, which is supported since Spark 3.0)
Usage
hof_forall(x, pred, expr = NULL, dest_col = NULL, ...) Arguments
| Arguments | Description |
|---|---|
| x | The Spark data frame to be processed |
| pred | The predicate to test (it should take an array element as argument and return a boolean value) |
| expr | The array being tested, could be any SQL expression evaluating to an array (default: the last column of the Spark data frame) |
| dest_col | Column to store the boolean result (default: expr) |
| … | Additional params to dplyr::mutate |