Object Conversion Between Python and Scala
Explore the process of object conversion between Python and Scala in the PySpark environment. Understand how Python user-defined functions are translated into Scala-compatible code and why specifying type annotations is crucial for the successful execution of UDFs within PySpark. Gain insight into the differences between object-oriented and non-object-oriented representations and their impact on data processing.
Objects representation in object-oriented language
In object-oriented programming, custom objects are usually defined using class hierarchy—class, subclass, superclass, and so on. Although composite datatypes such as list, array, dictionary or map are available, it’s impossible to attach methods to them. To write better modular code, the primitive and composite datatypes are often wrapped into class and methods ...