sparklyr (version 1.7.1)

hof_transform_values: Transforms values of a map

Description

Applies the transformation function specified to all values of a map (this is essentially a dplyr wrapper to the `transform_values(expr, func)` higher- order function, which is supported since Spark 3.0)

Usage

hof_transform_values(x, func, expr = NULL, dest_col = NULL, ...)

Arguments

x

The Spark data frame to be processed

func

The transformation function to apply (it should take (key, value) as arguments and return a transformed value)

expr

The map being transformed, could be any SQL expression evaluating to a map (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", version = "3.0.0")
sdf <- sdf_len(sc, 1) %>% dplyr::mutate(m = map("a", 0L, "b", 2L, "c", -1L))
transformed_sdf <- sdf %>% hof_transform_values(~ CONCAT(.x, " == ", .y))
# }
# NOT RUN {
# }