Apply Aggregate Function to Array Column — hof

Apply an element-wise aggregation function to an array column (this is essentially a dplyr wrapper for the aggregate(array<T>, A, function<A, T, A>[, function<A, R>]): R built-in Spark SQL functions)

hof_aggregate(
  x,
  start,
  merge,
  finish = NULL,
  expr = NULL,
  dest_col = NULL,
  ...
)

Arguments

x: The Spark data frame to run aggregation on
start: The starting value of the aggregation
merge: The aggregation function
finish: Optional param specifying a transformation to apply on the final value of the aggregation
expr: The array being aggregated, could be any SQL expression evaluating to an array (default: the last column of the Spark data frame)
dest_col: Column to store the aggregated result (default: expr)
...: Additional params to dplyr::mutate

Examples

if (FALSE) { # \dontrun{

library(sparklyr)
sc <- spark_connect(master = "local")
# concatenates all numbers of each array in `array_column` and add parentheses
# around the resulting string
copy_to(sc, dplyr::tibble(array_column = list(1:5, 21:25))) %>%
  hof_aggregate(
    start = "",
    merge = ~ CONCAT(.y, .x),
    finish = ~ CONCAT("(", .x, ")")
  )
} # }