I am a newbie to scala (and functional programming, basically). I am trying to loop over a list of rows (can think as strings), where each string will be passed to a different scala method, where I am doing some manipulation on the input string and then return a string to the for-loop.
below is not the working code, but this is what I am expecting to work.
val input_list = spark.read
.format("com.crealytics.spark.excel")
.option("sheetName" , "SchemaInfo")
.option("useHeader", "true")
.schema(profilerSchema)
.load(path) // this is spark dataframe, which has rows.
val columnNames : List[String] = new List("Hello" , "world");
var outputList = new ListBuffer[String]();
// Here i am iterating the input_list where i pass each ele to getString() method where
// it returns the final string which i want to add to outputList.
input_list.foreach(i => {
val res: String = getString(row, columnNames)
outputList += res;
}));
def getString(row: Row, schemaNames: List[String]) : String = {
// some implementation where it returns a string.
}
Below is the error message I am getting (discard the line number. its getting at the foreach loop.).
Error:(57, 14) overloaded method value foreach with alternatives:
(func: org.apache.spark.api.java.function.ForeachFunction[org.apache.spark.sql.Row])Unit <and>
(f: org.apache.spark.sql.Row => Unit)Unit
cannot be applied to (org.apache.spark.sql.Row => scala.collection.mutable.ListBuffer[String])
excel_df.foreach{row => (jsonStrList += convertRowToJSON(row, columnNames))};
I am having a hard time writing the logic. any help is really appreciated.
input_list.foreach(i => {
val res: String = getString(row, columnNames)
outputList += res;
});
Your function inside the foreach method returns the outputList value. If you look at the signature, the return value should be Unit - which means the method doesn't return a value. It assumes you do some calculation that doesn't return anything.
You should use map instead of foreach. You don't need foreach and the outputList variable.
input_list.map(row => {
// Logic to return the item that you want to compute
})
.toList()
You have to shift your way of thinking from an imperative style where you declare a collection and then loop through the items of another collection and add the result of your calculations to the first collection to a functional style that uses the map/filter methods.
Example:
List(1,2,3,4,5,6,7,8,9,10)
// filter gives you the list of even numbers between 1 and 10
.filter(i => i % 2 == 0)
// This gives you the squares of the even numbers between 1 and 10
.map(i => i * i)
// This gives the doubles of the squares of the even numbers
.map(i => i * 2)
You can also do this:
val evenNumbers = List(1,2,3,4,5,6,7,8,9,10)
// filter gives you the list of even numbers between 1 and 10
.filter(i => i % 2 == 0)
val squares= evenNumbers
// This gives you the squares of the even numbers between 1 and 10
.map(i => i * i)
val doubleSquares = squares
// This gives the doubles of the squares of the even numbers
.map(i => i * 2)
// this will return a tuple with lists when it's the last statement in a function or method.
(squares, doubleSquares)
As you can see there are no ListBuffer objects declared. The example is a bit contrived, you could combine the last two maps into one but I wanted to prove a point. You can do other operations, you can group by items, sort them and so on.
You need to read more about scala and FP in general. This is a good introduction: https://docs.scala-lang.org/overviews/scala-book/introduction.html and this: https://docs.scala-lang.org/overviews/scala-book/passing-functions-around.html .
You can also trying things here inside the browser: https://scastie.scala-lang.org .
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