Sorts array using a custom comparator
Applies a custom comparator function to sort an array (this is essentially a dplyr wrapper to the 'array_sort(expr, func)' higher- order function, which is supported since Spark 3.0)
hof_array_sort(x, func, expr = NULL, dest_col = NULL, ...)
x |
The Spark data frame to be processed |
func |
The comparator function to apply (it should take 2 array elements as arguments and return an integer, with a return value of -1 indicating the first element is less than the second, 0 indicating equality, or 1 indicating the first element is greater than the second) |
expr |
The array being sorted, could be any SQL expression evaluating to an array (default: the last column of the Spark data frame) |
dest_col |
Column to store the sorted result (default: expr) |
... |
Additional params to dplyr::mutate |
## Not run:
library(sparklyr)
sc <- spark_connect(master = "local", version = "3.0.0")
copy_to(
sc,
tibble::tibble(
# x contains 2 arrays each having elements in ascending order
x = list(1:5, 6:10)
)
) %>%
# now each array from x gets sorted in descending order
hof_array_sort(~ as.integer(sign(.y - .x)))
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.