what is a thread

本文解释了在程序中线程的基本概念,包括线程如何作为程序执行路径,为何需要多线程处理并发任务,以及多线程应用如何在单个程序内高效运行。
thread到底是什么,在程序中到底表示什么?

Simply put, a thread is a program's path of execution. Most programs written today run as a single thread, causing problems when multiple events or actions need to occur at the same time. Let's say, for example, a program is not capable of drawing pictures while reading keystrokes. The program must give its full attention to the keyboard input lacking the ability to handle more than one event at a time. The ideal solution to this problem is the seamless execution of two or more sections of a program at the same time. Threads allows us to do this.

Multithreaded applications deliver their potent power by running many threads concurrently within a single program. From a logical point of view, multithreading means multiple lines of a single program can be executed at the same time, however, it is not the same as starting a program twice and saying that there are multiple lines of a program being executed at the same time. In this case, the operating system is treating the programs as two separate and distinct processes. Under Unix, forking a process creates a child process with a different address space for both code and data. However, fork() creates a lot of overhead for the operating system, making it a very CPU-intensive operation. By starting a thread instead, an efficient path of execution is created while still sharing the original data area from the parent. The idea of sharing the data area is very beneficial, but brings up some areas of concern that we'll discuss later.
ArrayDeque is a class in Java that provides a resizable array implementation of the Deque interface. It is part of the Java Collections Framework and is found in the `java.util` package. The Deque (double-ended queue) allows elements to be added or removed from both ends, making it more versatile than a standard queue which typically allows insertion at one end and removal from the other. This data structure can be used as a stack, queue, or deque, depending on the operations employed. Unlike LinkedList, which also implements the Deque interface, ArrayDeque has no inherent capacity restrictions and grows as necessary to accommodate new elements. However, it does not support null elements and is not thread-safe, meaning it is not suitable for concurrent access without additional synchronization[^4]. When using ArrayDeque as a queue, elements are added at the end and removed from the beginning, following the First-In-First-Out (FIFO) principle. As a stack, elements are added and removed from the same end, adhering to the Last-In-First-Out (LIFO) principle. When utilized as a deque, elements can be inserted and extracted from both ends, providing flexibility in data manipulation. Here is a simple example demonstrating how to create and manipulate an ArrayDeque: ```java import java.util.ArrayDeque; import java.util.Deque; public class ArrayDequeExample { public static void main(String[] args) { // Creating an ArrayDeque Deque<String> deque = new ArrayDeque<>(); // Adding elements to the deque deque.add("Element 1"); deque.add("Element 2"); deque.add("Element 3"); // Add element at the front deque.addFirst("Element 0"); // Add element at the end deque.addLast("Element 4"); // Removing elements from the deque System.out.println("Removed element: " + deque.removeFirst()); System.out.println("Removed element: " + deque.removeLast()); // Displaying the deque elements System.out.println("Deque elements: " + deque); } } ``` In this example, we first create an ArrayDeque and add several elements to it. We then demonstrate adding elements specifically at the front and the end of the deque. Subsequently, we remove elements from both the front and the end and print them out, finally displaying all remaining elements in the deque. ArrayDeque is particularly useful when there is a need for efficient insertion and deletion operations at both ends of the data structure, and it generally offers better performance compared to LinkedList when used as a stack or a queue.
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