Partial Functions in Scala
Partial Functions in Scala
Interested in learning some of the finer points of the Scala language? Read on to get a quick overview of Scala's partial functions, and how they aid in development.
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As the name suggests, partial functions are only partial implementations. They do not cover every possible scenario of incoming parameters. A partial function caters to only a subset of possible data for which it has been defined. In order to assist developers, if the partial function is defined for a given input, Scala's PartialFunction
trait provides the isDefinedAt
method. The isDefinedAt
method can be queried if it can handle a given value.
Partial functions in Scala can be defined by using the case
statement. Let us define a simple partial function, squareRoot
. The function would take in a double
input parameter and would return the square root.
val squareRoot: PartialFunction[Double, Double] = {
case d: Double if d > 0 => Math.sqrt(d)
}
As is evident from the above example, we are not aware what would happen if d
is less than 0.
Advantages
Consider this list
of numbers having some values.
val list: List[Double] = List(4, 16, 25, -9)
If I use a simple map
function with Math.sqrt()
, then I'll get an annoying NaN
at the end of my result
list.
val result = list.map(Math.sqrt)
result: List[Double] = List(2.0, 4.0, 5.0, NaN)
We never intended to have a NaN
value in our result. What could be worse? We could have got an exception.
Let us try to use our previously defined squareRoot
partial function along with collect
.
val result = list.collect(squareRoot)
result: List[Double] = List(2.0, 4.0, 5.0)
And this time, we can observe that we do not have any unwanted elements in our result list. Thus, partial functions can help us to get rid of any side effects.
There are other helpful functions such as orElse
and andThen
that can be used with partial functions. Please refer to this video if you are looking for few more hands-on examples of partial functions in Scala.
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