sparklyr: hof_transform – R documentation

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hof_transform

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, tibble::tibble(arr = list(1:5, 21:25))) %>%
  hof_transform(~ .x * .x)

## End(Not run)

sparklyr

R Interface to Apache Spark

v1.6.2

Apache License 2.0 | file LICENSE

Authors

Javier Luraschi [aut], Kevin Kuo [aut] (<https://orcid.org/0000-0001-7803-7901>), Kevin Ushey [aut], JJ Allaire [aut], Samuel Macedo [ctb], Hossein Falaki [aut], Lu Wang [aut], Andy Zhang [aut], Yitao Li [aut, cre] (<https://orcid.org/0000-0002-1261-905X>), Jozef Hajnala [ctb], Maciej Szymkiewicz [ctb] (<https://orcid.org/0000-0003-1469-9396>), Wil Davis [ctb], RStudio [cph], The Apache Software Foundation [aut, cph]

Initial release