Learning History of Big Data

The big Data Scala language can not only nest functions in functions, but also define partial functions.

def sum (a:int,b:int,c:int) = a+b+c val Pld = Sum _ println (PLD) println (pld.apply (1, 2, 3)) Val P ed = SUM (1,_:int,3) println (PED (2)) println (Ped.apply (2)) val add = (x:int) = X+2 println (add.apply (3 ) defines a partial function that adds a space and an underscore to a function name and assigns a value to a constant or variable val pld = Sum _ This partial function definition does not specify any parameters, meaning that all arguments are passed when the partial function is used. Another option is to specify several of these parameter values when defining the partial function, and only pass the unspecified parameters when using Val ped = SUM (1,_:int,3) println (PED (2)) when defining the partial function, a member's apply method is generated according to the parameters, So it's also possible to directly adjust the Apply method Add.apply (3)

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Learning History of Big Data