Passing functions to Spark (Scala)
As you have seen in the previous example, passing functions is a critical functionality provided by Spark. From a user's point of view you would pass the function in your driver program, and Spark would figure out the location of the data partitions across the cluster memory, running it in parallel. The exact syntax of passing functions differs by the programming language. Since Spark has been written in Scala, we'll discuss Scala first.
In Scala, the recommended ways to pass functions to the Spark framework are as follows:
- Anonymous functions
- Static singleton methods
Anonymous functions
Anonymous functions are used for short pieces of code. They are also referred to as lambda expressions, and are a cool and elegant feature of the programming language. The reason they are called anonymous functions is because you can give any name to the input argument and the result would be the same.
For example, the following code examples would produce the same output:
val...
