Filters entries in a map using the function specified (this is essentially a dplyr wrapper to the `map_filter(expr, func)` higher- order function, which is supported since Spark 3.0)
Arguments
- x
The Spark data frame to be processed
- func
The filter function to apply (it should take (key, value) as arguments and return a boolean value, with FALSE indicating the key-value pair should be discarded and TRUE otherwise)
- expr
The map being filtered, could be any SQL expression evaluating to a map (default: the last column of the Spark data frame)
- dest_col
Column to store the filtered result (default: expr)
- ...
Additional params to dplyr::mutate