Trees
BST Insert
Insert values into a binary search tree by comparing at each node.
Algorithm
The canonical tree is 4(2(1,3),6(5,7)), so this Scala DSA
implementation can be compared directly with the rest of the DSA track.
Basic Implementation
basic.scala
import scala.collection.mutable.{ArrayBuffer, Queue}
class Node(val value: Int, var left: Node = null, var right: Node = null)
object Main {
def render(node: Node): String = {
if (node == null) "_"
else if (node.left == null && node.right == null) node.value.toString
else s"${node.value}(${render(node.left)},${render(node.right)})"
}
def sampleTree(): Node = new Node(4, new Node(2, new Node(1), new Node(3)), new Node(6, new Node(5), new Node(7)))
def listString(values: Seq[Int]): String = values.mkString("[", ", ", "]")
def insert(root: Node, value: Int): Node = { if (root == null) return new Node(value); if (value < root.value) root.left = insert(root.left, value) else root.right = insert(root.right, value); root }
def main(args: Array[String]): Unit = { var root: Node = null; for (value <- List(4, 2, 6, 1, 3, 5, 7)) root = insert(root, value); println(render(root)) }
}
Complexity
- Time: O(h) per insert
- Space: O(n)
Implementation notes
- Render tree structure explicitly instead of printing node objects.
- The replay highlights the node, traversal state, queue, path, or search cursor that changes at each step.
binary search tree
Values smaller than a node go left; larger values go right.