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前言
ThreadLocal在上下文的数据传输上非常的方便和简洁。工业实践中,比较常用的有三个,ThreadLocal、InheritableThreadLocal、TransmittableThreadLocal,那么他们三个之间有什么区别呢?
常见的三种ThreadLocal比较
ThreadLocal | InheritableThreadLocal | TransmittableThreadLocal | |
来源 | jdk | jdk | 阿里开源 |
单线程数据传输 | 支持 | 支持 | 支持 |
new线程数据传输 | 不支持 | 支持 | 支持 |
线程池数据传输 | 不支持 | 部分支持【简单场景】 | 支持 |
针对线程池的数据传输,InheritableThreadLocal仅仅能在一些简单场景下做到,下面就用一个案例来说明
先看下线程工厂的定义
package com.tml.mouseDemo.core.threadLocalDemo;import java.util.concurrent.ThreadFactory;
import java.util.concurrent.atomic.AtomicInteger;public class SimpleThreadFactory implements ThreadFactory {private static AtomicInteger atomicInteger = new AtomicInteger(1);@Overridepublic Thread newThread(Runnable r) {Thread t = new Thread(r);t.setName("tml-"+atomicInteger.getAndIncrement());return t;}
}
InheritableThreadLocal部分支持的案例
package com.tml.mouseDemo.core.threadLocalDemo;import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;public class ThreadLocalDemo1 {private static ThreadLocal<String> threadLocal = new InheritableThreadLocal<>();private static ExecutorService service = Executors.newFixedThreadPool(2, new SimpleThreadFactory());public static void main(String[] args) throws InterruptedException {threadLocal.set("hello main");for (int i = 0; i < 2; i++) {service.execute(() -> {String s = threadLocal.get();ThreadUtils.printLog("get data " + s);});}//修改threadLocal中的值threadLocal.set("hello world");Thread.sleep(2000);for (int i = 0; i < 2; i++) {service.execute(() -> {String s = threadLocal.get();ThreadUtils.printLog("get data " + s);});}ThreadUtils.printLog("get data " + threadLocal.get());service.shutdown();}
}
运行结果如下
2025-01-10 19:41:50 | INFO | tml-1 | com.tml.mouseDemo.core.threadLocalDemo.ThreadUtils | get data hello main
2025-01-10 19:41:50 | INFO | tml-2 | com.tml.mouseDemo.core.threadLocalDemo.ThreadUtils | get data hello main
2025-01-10 19:41:52 | INFO | tml-2 | com.tml.mouseDemo.core.threadLocalDemo.ThreadUtils | get data hello main
2025-01-10 19:41:52 | INFO | main | com.tml.mouseDemo.core.threadLocalDemo.ThreadUtils | get data hello world
2025-01-10 19:41:52 | INFO | tml-1 | com.tml.mouseDemo.core.threadLocalDemo.ThreadUtils | get data hello main
从运行结果来看,前面的两次循环提交的任务,在子线程中确实是能正常的获取主线程设置的变量,即hello main,但是紧接着,我修改了主线程上绑定的变量为hello world,然后继续循环两次提交两个任务,这个时候子线程中获取的线程变量依然是hello main,这明显是与是期望不一致的。
从这个层面来讲,InheritableThreadLocal确实在线程池的层面支持不够友好,可以说仅支持部分简单场景。
根本原因就死线程池的池化机制,从上面的运行日志上也可以看出,提交了4个任务执行的线程依然是两个。线程池中的线程是复用的,InheritableThreadLocal是在创建子线程的时候,会将主线程上绑定的数据拷贝过来,如果我不创建新的线程,但是主线程上绑定的数据改变了呢?那我依然还是读取到之前拷贝的数据。
这个就是InheritableThreadLocal的短板。针对这个问题,阿里开源的TransmittableThreadLocal就能顺利丝滑的解决这个问题。
TransmittableThreadLocal实践
maven依赖
<dependency><groupId>com.alibaba</groupId><artifactId>transmittable-thread-local</artifactId><version>2.12.4</version>
</dependency>
装饰Runnable任务
直接看代码
package com.tml.mouseDemo.core.threadLocalDemo;import com.alibaba.ttl.TransmittableThreadLocal;
import com.alibaba.ttl.TtlRunnable;import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;public class ThreadLocalDemo1 {private static ThreadLocal<String> threadLocal = new TransmittableThreadLocal<>();private static ExecutorService service = Executors.newFixedThreadPool(2, new SimpleThreadFactory());public static void main(String[] args) throws InterruptedException {threadLocal.set("hello main");for (int i = 0; i < 2; i++) {service.execute(TtlRunnable.get(() -> {String s = threadLocal.get();ThreadUtils.printLog("get data " + s);}));}//修改threadLocal中的值threadLocal.set("hello world");Thread.sleep(2000);for (int i = 0; i < 2; i++) {service.execute(TtlRunnable.get(() -> {String s = threadLocal.get();ThreadUtils.printLog("get data " + s);}));}ThreadUtils.printLog("get data " + threadLocal.get());service.shutdown();}
}
运行结果如下:
2025-01-10 19:57:03 | INFO | tml-2 | com.tml.mouseDemo.core.threadLocalDemo.ThreadUtils | get data hello main
2025-01-10 19:57:03 | INFO | tml-1 | com.tml.mouseDemo.core.threadLocalDemo.ThreadUtils | get data hello main
2025-01-10 19:57:05 | INFO | tml-1 | com.tml.mouseDemo.core.threadLocalDemo.ThreadUtils | get data hello world
2025-01-10 19:57:05 | INFO | main | com.tml.mouseDemo.core.threadLocalDemo.ThreadUtils | get data hello world
2025-01-10 19:57:05 | INFO | tml-2 | com.tml.mouseDemo.core.threadLocalDemo.ThreadUtils | get data hello world
与第一个案例的差异点在于,使用了
public static TtlRunnable get(@Nullable Runnable runnable) {return get(runnable, false, false); }
来增强了了Runnable任务,执行的结果也是符合预期。
装饰线程池
直接看代码
package com.tml.mouseDemo.core.threadLocalDemo;import com.alibaba.ttl.TransmittableThreadLocal;
import com.alibaba.ttl.TtlRunnable;
import com.alibaba.ttl.threadpool.TtlExecutors;import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;public class ThreadLocalDemo1 {private static ThreadLocal<String> threadLocal = new TransmittableThreadLocal<>();private static ExecutorService service = Executors.newFixedThreadPool(2, new SimpleThreadFactory());private static ExecutorService ttlExecutorService = TtlExecutors.getTtlExecutorService(service);public static void main(String[] args) throws InterruptedException {threadLocal.set("hello main");for (int i = 0; i < 2; i++) {ttlExecutorService.execute(() -> {String s = threadLocal.get();ThreadUtils.printLog("get data " + s);});}//修改threadLocal中的值threadLocal.set("hello world");Thread.sleep(2000);for (int i = 0; i < 2; i++) {ttlExecutorService.execute(() -> {String s = threadLocal.get();ThreadUtils.printLog("get data " + s);});}ThreadUtils.printLog("get data " + threadLocal.get());service.shutdown();}
}
运行结果如下
2025-01-10 20:05:05 | INFO | tml-2 | com.tml.mouseDemo.core.threadLocalDemo.ThreadUtils | get data hello main
2025-01-10 20:05:05 | INFO | tml-1 | com.tml.mouseDemo.core.threadLocalDemo.ThreadUtils | get data hello main
2025-01-10 20:05:07 | INFO | tml-2 | com.tml.mouseDemo.core.threadLocalDemo.ThreadUtils | get data hello world
2025-01-10 20:05:07 | INFO | main | com.tml.mouseDemo.core.threadLocalDemo.ThreadUtils | get data hello world
2025-01-10 20:05:07 | INFO | tml-1 | com.tml.mouseDemo.core.threadLocalDemo.ThreadUtils | get data hello world
与上一个案例的差异点在于,这里没有包装Runnable任务,而是包装了线程池,使用了
public static ExecutorService getTtlExecutorService(@Nullable ExecutorService executorService) {if (TtlAgent.isTtlAgentLoaded() || executorService == null || executorService instanceof TtlEnhanced) {return executorService;}return new ExecutorServiceTtlWrapper(executorService, true); }
包装了ExecutorService,执行结果也是符合预期
使用java Agent无侵入增强线程池
直接看代码
package com.tml.mouseDemo.core.threadLocalDemo;import com.alibaba.ttl.TransmittableThreadLocal;import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;public class ThreadLocalDemo1 {private static ThreadLocal<String> threadLocal = new TransmittableThreadLocal<>();private static ExecutorService service = Executors.newFixedThreadPool(2, new SimpleThreadFactory());public static void main(String[] args) throws InterruptedException {threadLocal.set("hello main");for (int i = 0; i < 2; i++) {service.execute(() -> {String s = threadLocal.get();ThreadUtils.printLog("get data " + s);});}//修改threadLocal中的值threadLocal.set("hello world");Thread.sleep(2000);for (int i = 0; i < 2; i++) {service.execute(() -> {String s = threadLocal.get();ThreadUtils.printLog("get data " + s);});}ThreadUtils.printLog("get data " + threadLocal.get());service.shutdown();}
}
项目运行的时候,需要添加额外的jvm启动参数,如下
运行结果如下,也是符合预期
2025-01-10 20:11:59 | INFO | tml-2 | com.tml.mouseDemo.core.threadLocalDemo.ThreadUtils | get data hello main
2025-01-10 20:11:59 | INFO | tml-1 | com.tml.mouseDemo.core.threadLocalDemo.ThreadUtils | get data hello main
2025-01-10 20:12:01 | INFO | tml-2 | com.tml.mouseDemo.core.threadLocalDemo.ThreadUtils | get data hello world
2025-01-10 20:12:01 | INFO | main | com.tml.mouseDemo.core.threadLocalDemo.ThreadUtils | get data hello world
2025-01-10 20:12:01 | INFO | tml-1 | com.tml.mouseDemo.core.threadLocalDemo.ThreadUtils | get data hello world
总结
阿里巴巴的TransmittableThreadLocal是继承自InheritableThreadLocal,对他的功能进行了增强,增强的点也主要是在线程池的支持上。
通过上面的三个案例,可以看到TransmittableThreadLocal是非常灵活的,大家可以根据自己的需要,选择对应的方式来实现。
TransmittableThreadLocal的官网GitCode - 全球开发者的开源社区,开源代码托管平台