Introduction to Queue Data Structure Last Updated : 23 Jul, 2025 Comments Improve Suggest changes Like Article Like Report Queue is a linear data structure that follows FIFO (First In First Out) Principle, so the first element inserted is the first to be popped out. FIFO Principle in Queue:FIFO Principle states that the first element added to the Queue will be the first one to be removed or processed. So, Queue is like a line of people waiting to purchase tickets, where the first person in line is the first person served. (i.e. First Come First Serve). Basic Terminologies of QueueFront: Position of the entry in a queue ready to be served, that is, the first entry that will be removed from the queue, is called the front of the queue. It is also referred as the head of the queue.Rear: Position of the last entry in the queue, that is, the one most recently added, is called the rear of the queue. It is also referred as the tail of the queue.Size: Size refers to the current number of elements in the queue.Capacity: Capacity refers to the maximum number of elements the queue can hold.Representation of Queue Queue OperationsEnqueue: Adds an element to the end (rear) of the queue. If the queue is full, an overflow error occurs.Dequeue: Removes the element from the front of the queue. If the queue is empty, an underflow error occurs.Peek/Front: Returns the element at the front without removing it.Size: Returns the number of elements in the queue.isEmpty: Returns true if the queue is empty, otherwise false.isFull: Returns true if the queue is full, otherwise false.For detailed steps and more information on each operation, Read Basic Operations for Queue in Data Structure.Implementation of Queue Data StructureQueue can be implemented using following data structures:Simple Array implementation of Queue Efficient Array Implementation of QueueImplementation of Queue using Linked ListComplexity Analysis of Operations on Queue Operations Time Complexity Space Complexity enqueue O(1)O(1) dequeueO(1)O(1) frontO(1)O(1) sizeO(1) O(1) isEmptyO(1) O(1) isFullO(1)O(1)Types of QueuesQueue data structure can be classified into 4 types:Simple Queue: Simple Queue simply follows FIFO Structure. We can only insert the element at the back and remove the element from the front of the queue. A simple queue is efficiently implemented either using a linked list or a circular array.Double-Ended Queue (Deque): In a double-ended queue the insertion and deletion operations, both can be performed from both ends. They are of two types: Input Restricted Queue: This is a simple queue. In this type of queue, the input can be taken from only one end but deletion can be done from any of the ends.Output Restricted Queue: This is also a simple queue. In this type of queue, the input can be taken from both ends but deletion can be done from only one end.Priority Queue: A priority queue is a special queue where the elements are accessed based on the priority assigned to them. They are of two types:Ascending Priority Queue: In Ascending Priority Queue, the elements are arranged in increasing order of their priority values. Element with smallest priority value is popped first.Descending Priority Queue: In Descending Priority Queue, the elements are arranged in decreasing order of their priority values. Element with largest priority is popped first.types of queuesApplications of Queue Data StructureApplication of queue is common. In a computer system, there may be queues of tasks waiting for the printer, for access to disk storage, or even in a time-sharing system, for use of the CPU. Within a single program, there may be multiple requests to be kept in a queue, or one task may create other tasks, which must be done in turn by keeping them in a queue.A Queue is always used as a buffer when we have a speed mismatch between a producer and consumer. For example keyboard and CPU.Queue can be used where we have a single resource and multiple consumers like a single CPU and multiple processes.In a network, a queue is used in devices such as a router/switch and mail queue.Queue can be used in various algorithm techniques like Breadth First Search, Topological Sort, etc.Please refer Applications of Queue for more details.Queue Operations Applications, Advantages and Disadvantages of QueueMaximum of all subarrays of size kGenerate Binary NumbersQueue using two StacksReverse First K elements of Queue Queue Data Structure Visit Course Queue Data Structure Application of Queue Data structure Comment More infoAdvertise with us Next Article Types of Asymptotic Notations in Complexity Analysis of Algorithms K kartik Follow Improve Article Tags : Queue DSA Tutorials DSA Tutorials Practice Tags : Queue Similar Reads Basics & PrerequisitesTime Complexity and Space ComplexityMany times there are more than one ways to solve a problem with different algorithms and we need a way to compare multiple ways. 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