Tag Archives: scala

Functions as Arguments Java vs Scala, Game Set Match Scala Wins!

This is how you would create a function that takes a function as argument in Java

import java.util.function.Function;

class Scratch {

    public static void doCallFunc(int num, Function<Integer,String> fn) {
        System.out.println( "Result : "+fn.apply( num ) );

    public static void main(String[] args) {
        Function<Integer,String> myFunc = num -> "Value = " + num;
        System.out.println( myFunc.apply( 7 ) );        

The Function<A,B> myFunc = num -> “Value = ” + num;
Here :
A = the type of the first argument, in this example an interger
B = the type of the result/returned value, in this exampel a String

And for multiple parameters you need to create an interface like this

import java.util.function.Function;

interface TwoParamFunction<A,B,C> {
    public C apply(A a, B b);

class Scratch {

    public static void doCallFunc2(int num, TwoParamFunction<Integer,String,String> fn) {
        System.out.println( "Result : "+fn.apply( num, "Value" ) );

    public static void main(String[] args) {
        TwoParamFunction<Integer,String,String> myFunc2 = (num,str) -> str + " : " + num;
        doCallFunc2( 7, myFunc2 );


Now with TWO (2) parameters instead, it looks looks alot more complicated.
A = is the type of the first parameter
B = is the type of the second parameter
C = is the type of the resule/returned value

If we look at Scala the code looks alot simpler and much more intuitive

def myFunc( num:Int ):String = {
 "Value = " + num

def doCallFunc( num:Int, fn:(Int)=>String ):Unit = {
 println("Result :"+fn(num))


here the definition of the function
clearly spells out that the first argument is an Int and the return type is a String.

And if we in Scala would have 2 or more arguments you have probably already guessed it

def myFunc2( num:Int, str:String ):String = {
  str + num

def doCallFunc2( num:Int, fn:(Int,String)=>String ):Unit = {
  println("Result :"+fn(num,"Value = "))

doCallFunc2( 123, myFunc2 )

For functions as arguments/parameters example above, then Scala wins all week !

Over and out !

Apache SPARK and Cassandra and SQL

This is a short intro to start using Apache SPARK with Cassandra, running SQL on the Cassandra tables.

Note that I am not running a SPARK cluster, I am running “local”, to me this is really convenient, not having to run a SPARK server and workers for something so small. So for playing around with SPARK and Cassandra this is really good.

I am using Scala and SBT.

Something I was struggling hard with, to get the dependency versions right. It is crucial that you do not do like I did first, use version 1.5.2 of Spark and 1.5.0 for SparkCassandraConnector, this will NOT work. I constantly got exception with java.lang.NoSuchMethodException, so incredibly frustrating to try out version after version.


A small Scala program to show how it works


The output…