I am writing a symulator of a B-tree. I read here stackoverflow that the best way is use a queue to make a level order traversal. But i have no idea how to do it. I work on implementation in c++ from geeksforgeeks . Perhaps someone knows how to rebuild inorder traversal(code below) to level order traversal.
Classes and constuctors :
class BTreeNode
{
int *keys; // An array of keys
int t; // Minimum degree (defines the range for number of keys)
BTreeNode **C; // An array of child pointers
int n; // Current number of keys
int j;
bool leaf; // Is true when node is leaf. Otherwise false
public:
BTreeNode(int _t, bool _leaf); // Constructor
// A utility function to insert a new key in the subtree rooted with
// this node. The assumption is, the node must be non-full when this
// function is called
void insertNonFull(int k);
// A utility function to split the child y of this node. i is index of y in
// child array C[]. The Child y must be full when this function is called
void splitChild(int i, BTreeNode *y);
// A function to traverse all nodes in a subtree rooted with this node
void traverse();
// A function to search a key in subtree rooted with this node.
BTreeNode *search(int k); // returns NULL if k is not present.
// Make BTree friend of this so that we can access private members of this
// class in BTree functions
friend class BTree;
};
// A BTree
class BTree
{
BTreeNode *root; // Pointer to root node
int t; // Minimum degree
public:
// Constructor (Initializes tree as empty)
BTree(int _t)
{ root = NULL; t = _t; }
// function to traverse the tree
void traverse()
{ if (root != NULL)
cout << "root";
root->traverse(); }
// function to search a key in this tree
BTreeNode* search(int k)
{ return (root == NULL)? NULL : root->search(k); }
// The main function that inserts a new key in this B-Tree
void insert(int k);
};
Inorder traversal :
void BTreeNode::traverse()
{
// There are n keys and n+1 children, travers through n keys
// and first n children
int i;
for (i = 0; i < n; i++)
{
// If this is not leaf, then before printing key[i],
// traverse the subtree rooted with child C[i].
if (leaf == false)
C[i]->traverse();
cout << " " << keys[i];
}
// Print the subtree rooted with last child
if (leaf == false)
C[i]->traverse();
}
Here you can see the Depth-First-Search algorithm ( wiki ) recursive implementation.
For level-by-level traversal you probably need the Breadth-First-Search ( wiki ).
To achieve this, we will perform 2 steps.
First step: write recursion-free DFS:
void BTreeNode::traverse()
{
std::stack<BTreeNode*> stack;
stack.push(this);
while (!stack.empty())
{
BTreeNode* current = stack.top();
stack.pop();
int i;
for (i = 0; i < n; i++)
{
if (leaf == false)
stack.push(current->C[i]);
cout << " " << current->keys[i];
}
if (leaf == false)
stack.push(current->C[i]);
}
}
Second step: use queue instead of stack:
void BTreeNode::traverse()
{
std::queue<BTreeNode*> queue;
queue.push(this);
while (!stack.empty())
{
BTreeNode* current = queue.front();
queue.pop();
int i;
for (i = 0; i < n; i++)
{
if (leaf == false)
stack.push(current->C[i]);
cout << " " << current->keys[i];
}
if (leaf == false)
stack.push(current->C[i]);
}
}
So, it's done!
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