Push adds element by enqueue then rotates queue to front; Pop removes front element to simulate stack behavior.
Execution Sample
DSA Java
Queue<Integer> q = new LinkedList<>();
// Push 1
q.add(1);
// Rotate queue
for (int i = 0; i < q.size() - 1; i++) q.add(q.remove());
// Pop
int top = q.remove();
This code pushes 1 onto the stack using queue rotation, then pops the top element.
Execution Table
Step
Operation
Queue State Before
Pointer Changes
Queue State After
Visual State
1
Push 1
[]
Enqueue 1
[1]
1 -> null
2
Rotate queue
[1]
Remove 1, Enqueue 1
[1]
1 -> null
3
Push 2
[1]
Enqueue 2
[1, 2]
1 -> 2 -> null
4
Rotate queue
[1, 2]
Remove 1, Enqueue 1
[2, 1]
2 -> 1 -> null
5
Push 3
[2, 1]
Enqueue 3
[2, 1, 3]
2 -> 1 -> 3 -> null
6
Rotate queue
[2, 1, 3]
Remove 2, Enqueue 2; Remove 1, Enqueue 1
[3, 2, 1]
3 -> 2 -> 1 -> null
7
Pop
[3, 2, 1]
Dequeue 3
[2, 1]
2 -> 1 -> null
8
Pop
[2, 1]
Dequeue 2
[1]
1 -> null
9
Pop
[1]
Dequeue 1
[]
null
10
Pop
[]
Queue empty, cannot dequeue
[]
null
💡 Step 10 stops because queue is empty, no elements to pop.
Variable Tracker
Variable
Start
After Step 1
After Step 2
After Step 3
After Step 4
After Step 5
After Step 6
After Step 7
After Step 8
After Step 9
After Step 10
Queue q
[]
[1]
[1]
[1, 2]
[2, 1]
[2, 1, 3]
[3, 2, 1]
[2, 1]
[1]
[]
[]
Key Moments - 3 Insights
Why do we rotate the queue after each push?
Rotating the queue moves the newly added element to the front, making it behave like the top of a stack. See execution_table rows 2, 4, and 6 where rotation changes the queue order.
Why does pop remove from the front of the queue?
Because after rotation, the front of the queue is the last pushed element, simulating stack's top. Refer to execution_table rows 7, 8, and 9 where dequeue removes the top element.
What happens if we pop when the queue is empty?
No element can be removed; the queue remains empty and pop operation cannot proceed. See execution_table row 10 where pop fails due to empty queue.
Visual Quiz - 3 Questions
Test your understanding
Look at the execution_table at step 6, what is the queue state after rotation?
A[1, 2, 3]
B[3, 2, 1]
C[2, 1, 3]
D[1, 3, 2]
💡 Hint
Check the 'Queue State After' column in row 6 of execution_table.
At which step does the queue first contain the element '3' at the front?
AStep 6
BStep 5
CStep 3
DStep 7
💡 Hint
Look at the 'Visual State' column and see when '3' is at the front.
If we skip the rotation after push, what will happen to the pop operation?
APop will remove nothing
BPop will remove the last pushed element correctly
CPop will remove the oldest element, not the last pushed
DQueue will be empty immediately
💡 Hint
Rotation moves the new element to front; without it, front is oldest element (see key_moments about rotation).
Concept Snapshot
Implement Stack Using Queue:
- Use one queue
- Push: enqueue element, then rotate queue to front
- Pop: dequeue front element
- Top is always at front after rotation
- Rotation simulates LIFO behavior using FIFO queue
Full Transcript
This visualization shows how to implement a stack using a single queue. When pushing, we add the new element to the queue and then rotate the queue so that this new element moves to the front. This makes the front of the queue behave like the top of the stack. When popping, we simply remove the front element from the queue. The execution table traces each step, showing queue states and pointer changes. Key moments clarify why rotation is necessary and what happens when popping from an empty queue. The visual quiz tests understanding of queue state changes and the importance of rotation. The concept snapshot summarizes the approach in simple steps.
Practice
(1/5)
1. What is the main idea behind implementing a stack using a queue?
easy
A. Use one queue and reorder elements to simulate stack behavior
B. Use two stacks to simulate a queue
C. Use a linked list to implement both stack and queue
D. Use an array to simulate queue operations
Solution
Step 1: Understand stack and queue behaviors
A stack follows Last-In-First-Out (LIFO), while a queue follows First-In-First-Out (FIFO).
Step 2: Simulate stack using queue
By reordering elements in a single queue after each push, we can simulate LIFO behavior of a stack.
Final Answer:
Use one queue and reorder elements to simulate stack behavior -> Option A
Quick Check:
Stack via queue = reorder in one queue [OK]
Hint: Remember stack is LIFO; reorder queue to mimic it [OK]
Common Mistakes:
Confusing stack with queue behavior
Using two stacks instead of queues
Ignoring element order after push
2. Which of the following is the correct Java syntax to declare a queue of integers using LinkedList?
easy
A. LinkedList<Integer> queue = new Queue<>();
B. Queue<int> queue = new LinkedList<>();
C. Queue<Integer> queue = new LinkedList<>();
D. Queue<Integer> queue = new Queue<>();
Solution
Step 1: Use interface Queue with LinkedList implementation
In Java, Queue is an interface and LinkedList implements it. Use generics with wrapper class Integer.
Step 2: Check syntax correctness
Queue<Integer> queue = new LinkedList<>(); is correct syntax for declaring a queue of integers.
Final Answer:
Queue<Integer> queue = new LinkedList<>(); -> Option C
Quick Check:
Queue<Integer> with LinkedList = correct syntax [OK]
Hint: Use wrapper classes and interface for queue declaration [OK]
Common Mistakes:
Using primitive int instead of Integer
Trying to instantiate interface Queue directly
Confusing LinkedList and Queue syntax
3. What will be the output of the following code snippet implementing stack push using one queue?
Queue<Integer> q = new LinkedList<>();
// Push 1
q.add(1);
// Push 2
q.add(2);
// Reorder queue to simulate stack push
for (int i = 0; i < q.size() - 1; i++) {
q.add(q.remove());
}
System.out.println(q.remove());