PySpark has some unconventional syntaxes which provide power to the development process, making it easier. We talked about loops before. Let’s discover some more tricks to make our coding easier and more powerful.
The Power of the pyspark REDUCE function
Let’s discover more about this powerful function
Definition: We can use this function to apply a given function to a sequence of elements and reduces it to a single value
Syntax
functools.reduce(function, iterable, initializer=None)
Scenario
Imagine you need to make replaces in a dataframe’s string column. You need to make multiple replaces of different strings.
This is the kind of scenario