Backport of JSR 166: The technical foundation in the Java class library

JSR 166's reverse transplantation: the technical foundation in the Java class library Overview: JSR 166 is part of the Java Specification Requests (JSR), which aims to expand the concurrent technology in the Java library.This article will explore the reverse transplantation of JSR 166, which is about to transplant the possibility of transplantation from Java libraries to other programming languages.In addition, we will provide some Java code examples to demonstrate the core function of JSR 166. JSR 166 background: The Java class library has always provided a set of powerful concurrency APIs, such as thread pools, atomic operations, and containers.These functions enable Java developers to easily deal with concurrent problems, and use modern concurrent programming technology to improve the performance and scalability of applications. However, sometimes developers may find that other programming languages (such as Python, C ++, etc.) are not strong enough or flexible, hoping to use concurrent technology similar to JSR 166 in these languages.This triggered the needs of the JSR 166's reverse transplantation. Challenge of reverse transplant JSR 166: Reverse the concurrent technology in JSR 166 to other programming languages is a challenging task.This involves understanding the core concepts and design patterns in JSR 166, and converts it into the implementation of other programming languages.Here are some possible challenges: 1. Planting in concurrent tools: JSR 166 provides many advanced concurrent tools, such as Countdownlatch, CyclicBarrier, etc.These tools need to rewrite the code according to the grammar and requirements of other programming languages. 2. Transplantation of atomic operation: Atomic operations in JSR 166 are a key component of many concurrent applications.To achieve similar atomic operations in other programming languages, you need to understand the underlying memory model and operation. 3. Planting of containment: JSR 166 provides a series of and contains, such as ConcurrenThashmap and ConcurrenTlinkedQueue.These containers need to be adjusted accordingly according to the data structure and concurrent model of other programming languages. Example code: The following is an example of Java code using concurrent technology in JSR 166. It demonstrates how to use the ConcurrenThashMap to process the concurrent access: import java.util.concurrent.ConcurrentHashMap; public class ConcurrentMapExample { public static void main(String[] args) { ConcurrentHashMap<String, Integer> map = new ConcurrentHashMap<>(); map.put("A", 1); map.put("B", 2); map.put("C", 3); // Concurrent operation (thread safety) map.forEach((key, value) -> System.out.println(key + ": " + value)); // Update value map.compute("A", (key, value) -> value + 1); // Insert value when the key does not exist map.putIfAbsent("D", 4); // Delete the key value pair map.remove("B"); // Concurrent operation (thread safety) map.forEach((key, value) -> System.out.println(key + ": " + value)); } } This example shows the common usage of ConcurrenThashMap, where PUT, Compute, PutiFabSENT and Remove are all thread -safe.You can observe the effect of concurrent operation by running this code. in conclusion: JSR 166 is an important technical foundation in the Java class library. It provides powerful concurrency functions to deal with problems such as concurrent access, atomic operations and concurrent containers.Although it is challenging to transplant the concurrent technology in JSR 166 to other programming languages, this provides a useful reference for developers in other programming languages to achieve similar functions.