Combines 2 Array Columns — hof_zip

Applies an element-wise function to combine elements from 2 array columns (this is essentially a dplyr wrapper for the zip_with(array<T>, array<U>, function<T, U, R>): array<R> built-in function in Spark SQL)

Usage

hof_zip_with(x, func, dest_col = NULL, left = NULL, right = NULL, ...)

Arguments

x: The Spark data frame to process
func: Element-wise combining function to be applied
dest_col: Column to store the query result (default: the last column of the Spark data frame)
left: Any expression evaluating to an array (default: the first column of the Spark data frame)
right: Any expression evaluating to an array (default: the second column of the Spark data frame)
...: Additional params to dplyr::mutate

Examples

if (FALSE) { # \dontrun{

library(sparklyr)
sc <- spark_connect(master = "local")
# compute element-wise products of 2 arrays from each row of `left` and `right`
# and store the resuling array in `res`
copy_to(
  sc,
  dplyr::tibble(
    left = list(1:5, 21:25),
    right = list(6:10, 16:20),
    res = c(0, 0)
  )
) %>%
  hof_zip_with(~ .x * .y)
} # }