hof_transform {sparklyr} | R Documentation |
Transform Array Column
Description
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)
Usage
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
## Not run:
library(sparklyr)
sc <- spark_connect(master = "local")
# applies the (x -> x * x) transformation to elements of all arrays
copy_to(sc, dplyr::tibble(arr = list(1:5, 21:25))) %>%
hof_transform(~ .x * .x)
## End(Not run)
[Package sparklyr version 1.8.6 Index]