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Binary tree nodes sql advanced select hackerrank solution

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hackerrank binary tree nodes: a deep dive with sql solution
the "binary tree nodes" challenge on hackerrank is a classic problem designed to test your understanding of tree structures and your ability to manipulate data using sql. it requires you to classify nodes in a binary tree based on their position (root, leaf, or inner node) using information stored in a database table.
let's break down the problem, explore the concepts, and then dive into a detailed sql solution.
**problem statement:**
you are given a table `bst` representing a binary search tree. this table has two columns:
* `n`: the value of the node. this is an integer representing the data stored at each node.
* `p`: the value of the parent node. if a node is the root, `p` is `null`.
your task is to write a query that outputs the following for each node `n`:
* the value of the node `n`.
* the type of the node (root, leaf, inner).
**understanding the concepts:**
before writing the sql query, it's essential to understand the definitions of each node type within the context of the `bst` table:
* **root:** the root node is the topmost node in the tree. in the `bst` table, the root node is the only node where the `p` (parent) column is `null`.
* **leaf:** a leaf node is a node with no children. in the `bst` table, a leaf node is any node `n` that does *not* appear in the `p` column. this means no other node lists this node as its parent.
* **inner:** an inner node (also called an internal node) is a node that is neither the root nor a leaf. in the `bst` table, an inner node `n` is one that:
* has a non-null `p` value (not the root) *and*
* appears in the `p` column (has children).
**sql solution breakdown (mysql/mariadb compatible):**
here's a comprehensive sql query that addresses the problem, along with a detailed explanation:
**explanation:**
1. **`select n, case ... end`**: we're selecting two columns: the node value (`n`) and a calculated column that de ...
#BinaryTree #SQL #jwt
binary tree
nodes
sql
advanced select
hackerrank
solution
query
tree traversal
data structure
SQL functions
join
aggregation
recursive query
tree nodes
hierarchical data
the "binary tree nodes" challenge on hackerrank is a classic problem designed to test your understanding of tree structures and your ability to manipulate data using sql. it requires you to classify nodes in a binary tree based on their position (root, leaf, or inner node) using information stored in a database table.
let's break down the problem, explore the concepts, and then dive into a detailed sql solution.
**problem statement:**
you are given a table `bst` representing a binary search tree. this table has two columns:
* `n`: the value of the node. this is an integer representing the data stored at each node.
* `p`: the value of the parent node. if a node is the root, `p` is `null`.
your task is to write a query that outputs the following for each node `n`:
* the value of the node `n`.
* the type of the node (root, leaf, inner).
**understanding the concepts:**
before writing the sql query, it's essential to understand the definitions of each node type within the context of the `bst` table:
* **root:** the root node is the topmost node in the tree. in the `bst` table, the root node is the only node where the `p` (parent) column is `null`.
* **leaf:** a leaf node is a node with no children. in the `bst` table, a leaf node is any node `n` that does *not* appear in the `p` column. this means no other node lists this node as its parent.
* **inner:** an inner node (also called an internal node) is a node that is neither the root nor a leaf. in the `bst` table, an inner node `n` is one that:
* has a non-null `p` value (not the root) *and*
* appears in the `p` column (has children).
**sql solution breakdown (mysql/mariadb compatible):**
here's a comprehensive sql query that addresses the problem, along with a detailed explanation:
**explanation:**
1. **`select n, case ... end`**: we're selecting two columns: the node value (`n`) and a calculated column that de ...
#BinaryTree #SQL #jwt
binary tree
nodes
sql
advanced select
hackerrank
solution
query
tree traversal
data structure
SQL functions
join
aggregation
recursive query
tree nodes
hierarchical data