Apply an element-wise transformation function to an array column (this is essentially a dplyr wrapper for the transform(array<T>, function<T, U>): array<U> and the transform(array<T>, function<T, Int, U>): array<U> built-in Spark SQL functions)

hof_transform(x, func, expr = NULL, dest_col = NULL, ...)

Arguments

x

The Spark data frame to transform

func

The transformation to apply

expr

The array being transformed, could be any SQL expression evaluating to an array (default: the last column of the Spark data frame)

dest_col

Column to store the transformed result (default: expr)

...

Additional params to dplyr::mutate

Examples

if (FALSE) { library(sparklyr) sc <- spark_connect(master = "local") # applies the (x -> x * x) transformation to elements of all arrays copy_to(sc, tibble::tibble(arr = list(1:5, 21:25))) %>% hof_transform(~ .x * .x) }