Scala for Backend Engineering & Functional Programming · Lesson

Grouping and Sorting

groupBy and sortBy.

Grouping and Sorting is a free Scala for Backend Engineering & Functional Programming lesson on CoddyKit — lesson 4 of 4. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the Scala for Backend Engineering & Functional Programming learning path, one of 4 lessons in the course, and your progress syncs across the web and the CoddyKit app.

Organizing data

Real-world data often needs to be grouped by a property or sorted by a key. Scala collections offer groupBy, sortBy, sortWith, and friends to do this declaratively.

object Main {
  def main(args: Array[String]): Unit = {
    val nums = List(5, 3, 8, 1, 9, 2)
    println(nums.sorted)
  }
}

sorted: natural order

sorted sorts elements in their natural order (ascending for numbers, alphabetical for strings). It needs an ordering, which exists for common types.

object Main {
  def main(args: Array[String]): Unit = {
    println(List(3, 1, 2).sorted)
    println(List("pear", "apple", "fig").sorted)
  }
}

sortBy: sort by a key

sortBy sorts by a value derived from each element. Provide a function that extracts the sort key.

object Main {
  def main(args: Array[String]): Unit = {
    val words = List("banana", "fig", "apple")
    val byLength = words.sortBy(_.length)
    println(byLength)
  }
}

Sorting in descending order

To sort descending, negate a numeric key or use sorted(Ordering.Int.reverse). For derived keys, sortBy with a minus sign is concise.

object Main {
  def main(args: Array[String]): Unit = {
    val nums = List(5, 3, 8, 1)
    println(nums.sortBy(-_))
    println(nums.sorted(Ordering.Int.reverse))
  }
}

sortWith: custom comparator

sortWith takes a function returning true when the first argument should come before the second, giving you full control over ordering.

object Main {
  def main(args: Array[String]): Unit = {
    val nums = List(5, 3, 8, 1)
    val descending = nums.sortWith((a, b) => a > b)
    println(descending)
  }
}

Sorting by multiple keys

sortBy can return a tuple to sort by several keys at once: it compares the first element, then the second to break ties.

object Main {
  def main(args: Array[String]): Unit = {
    val people = List(("Ann", 30), ("Bob", 25), ("Ann", 22))
    val sorted = people.sortBy { case (name, age) => (name, age) }
    println(sorted)
  }
}

groupBy: partition into a Map

groupBy returns a Map where each key is the result of your function and each value is the list of elements sharing that key.

object Main {
  def main(args: Array[String]): Unit = {
    val nums = List(1, 2, 3, 4, 5, 6)
    val byParity = nums.groupBy(_ % 2 == 0)
    println(byParity)
  }
}

Grouping by a computed key

The grouping key can be anything: a first letter, a length, a category. Each distinct key becomes a bucket.

object Main {
  def main(args: Array[String]): Unit = {
    val words = List("apple", "avocado", "banana", "cherry", "cranberry")
    val byFirstLetter = words.groupBy(_.head)
    byFirstLetter.foreach { case (letter, ws) => println(s"$letter -> $ws") }
  }
}

Transforming groups

After grouping, you often want to summarize each bucket. Use view.mapValues (or map) to transform the values, for example counting elements per group.

object Main {
  def main(args: Array[String]): Unit = {
    val words = List("cat", "car", "dog", "deer", "cow")
    val counts = words.groupBy(_.head).view.mapValues(_.size).toMap
    println(counts)
  }
}

groupMapReduce in one step

groupMapReduce groups, maps each element, and reduces each group's values, all in a single pass. It is a concise way to build summaries like sums per category.

object Main {
  def main(args: Array[String]): Unit = {
    val sales = List(("books", 10), ("toys", 5), ("books", 7), ("toys", 3))
    val totals = sales.groupMapReduce(_._1)(_._2)(_ + _)
    println(totals)
  }
}

Combining group and sort

A frequent pattern: group data, summarize each group, then sort the summary. Here we count words per first letter and sort by count.

object Main {
  def main(args: Array[String]): Unit = {
    val words = List("apple", "avocado", "banana", "cherry", "cranberry", "apricot")
    val ranked = words
      .groupBy(_.head)
      .view.mapValues(_.size).toList
      .sortBy(-_._2)
    println(ranked)
  }
}

Quick Check

What does List(1,2,3,4).groupBy(_ % 2 == 0) return?

Recap

You learned grouping and sorting:

sorted — natural order
sortBy — sort by a derived key (tuple for multi-key)
sortWith — custom comparator
groupBy — partition into a Map of buckets
groupMapReduce — group, map, and reduce in one pass

Frequently asked questions

Is the “Grouping and Sorting” lesson free?

Yes — the full text of “Grouping and Sorting” is free to read here on the web, and the Scala for Backend Engineering & Functional Programming course includes 4 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the Scala for Backend Engineering & Functional Programming course, upgrade to CoddyKit PRO.

What will I learn in “Grouping and Sorting”?

groupBy and sortBy. You practise Scala for Backend Engineering & Functional Programming with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.

Do I need any experience to start Scala for Backend Engineering & Functional Programming?

No prior experience is required. Scala for Backend Engineering & Functional Programming on CoddyKit is structured for beginners through advanced learners; this is — lesson 4 of 4, so you can start here or from the beginning and move at your own pace.

How long does the “Grouping and Sorting” lesson take?

Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.

Can I write and run code in this Scala for Backend Engineering & Functional Programming lesson?

Yes. Every Scala for Backend Engineering & Functional Programming lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.

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