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HomeBackend DevelopmentPHP TutorialWhat are the common data structures in PHP programming?

What are the common data structures in PHP programming?

Jun 12, 2023 am 08:22 AM
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In the PHP programming language, data structure is a very important concept. It is a method used to organize and store data in program design. PHP has various data structure capabilities, such as arrays, linked lists, stacks, etc., making it highly valuable in actual programming. In this article, we will introduce several common data structures in PHP programming so that programmers can master them proficiently and apply them flexibly.

  1. Array

Array is a basic data type in PHP programming. It is an ordered collection composed of the same type of data. It can be specified in a single variable name. Store multiple values ​​below. We can use a variable to maintain multiple values, and then access each value through array subscripts to achieve more convenient data operations.

In PHP, arrays can store data in subscript order or use subscripts as keys. Arrays can be used in the form of key-value pairs, which can be used to store different types of data. Of course, PHP arrays also allow the use of data structures such as stacks and queues.

The advantage of using PHP arrays is that its operation speed is fast, and array elements can be accessed directly through subscripts. In addition, the readability of arrays is relatively good, and elements are forced to be represented by a key-value pair structure.

  1. Linked list

A linked list is a linear data structure composed of many nodes. Each node contains two parts, one is data and the other points to the next node. pointer. Linked lists are generally divided into three types: singly linked lists, doubly linked lists and circular linked lists.

Linked lists can help us handle memory more flexibly, and elements can be inserted and deleted at any position without affecting the positions of other elements. Each node in the linked list can be stored in any order, and data can be read and updated as quickly and conveniently as an array.

If we need to perform insertion and deletion operations when there are many elements in the array, or if we do not know the subscript when inserting or deleting elements, then using a linked list is a good choice.

  1. Stack

The stack is a data structure with specific restrictions. Its essence is a last-in-first-out (LIFO) array. The stack generally only supports two operations: pushing and popping. Elements can only be entered and exited from the top of the stack.

In PHP, the stack structure can be simulated through an array, and the last element of the array is used as the top of the stack to perform push and pop operations according to the first-in-last-out characteristics of the stack.

  1. Queue

The queue is a first-in-first-out data structure, and the queue can be simulated using an array. Queues generally support two operations: enqueuing and dequeuing, that is, adding elements to the tail of the queue and removing elements from the head of the queue.

In PHP, you can simulate the queue data structure through an array, add elements through the tail of the array, and pop elements from the head of the array. In addition, the SplQueue class is also provided in PHP to implement queue operations.

  1. Heap

Heap is a tree-based data structure used to maintain a collection containing heap attributes. The heap attribute defines the hierarchical relationship between the nodes of the tree. The two most commonly used heaps are the min heap and the max heap.

In PHP, the data structures of small and large heaps can be simulated through arrays. PHP also provides SplMinHeap and SplMaxHeap classes to use heaps to sort elements.

Summary

The above discussed several common data structure types in PHP programming. Each data structure has its usage scenarios and suitable applications. Understanding and mastering the characteristics and utilization methods of these data structures will help us choose the most appropriate data structures in the actual programming process, improve programming efficiency and execution efficiency, and further optimize program performance.

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