java

关注公众号 jb51net

关闭
首页 > 软件编程 > java > Java 内存OOM

Java中ThreadLocal 导致内存 OOM 的原因分析

作者:​ 心城以北   ​

这篇文章主要介绍了Java中ThreadLocal导致内存OOM的原因分析,文章基于Java的相关内容展开ThreadLocal导致内存OOM的原因分析,需要的小伙v阿布可以参考一下

原因分析

ThreadLocal 导致内存 OOM 的原因是什么?

ThreadLocal 底层通过 ThreadLocalMap 存储数据

源码如下: 

源码如下:

源码如下: 

虽然key被包装成了一个弱引用会被垃圾回收机制给回收,但是value在线程(Thread)不死亡时却可能存在一条强引用链.

由于 value是强引用,只要 Thread不死亡时,例如线程池,这条强引用链就会存在,那么value就不会回收,可能造成内存溢出

引用关系如下: Thread ==> ThreadLocalMap ==> Entry ==> value

但是这个消除强引用链的动作是需要业务方在get的情况下触发的,可能业务方并不会get、也可能get是key不为空,并不会触发 expungeStaleEntry 类。所以开发者要养成良好的习惯,记得用完 ThreadLocal 时,调一次ThreadLocal.remove()方法或者 ThreadLocal.set(null)

正确的使用方式

public class ThreadLocalTest {
    /**
     * 未初始化的本地线程变量
     */
    private static ThreadLocal<User> userThreadLocal = new ThreadLocal<>();
    public static void main(String[] args) throws InterruptedException {
        int threadNum = 10;
        List<Thread> threadList = Lists.newArrayList();

        for (int i = 0; i < threadNum; ++i) {
            long userId = i;
            Thread t = new Thread(() -> {
                try {
                    // 设置变量值
                    userThreadLocal.set(new User(userId, "lanxing" + userId, "2x"));
                    // 使用变量
                    doSomething();
                } finally {
                    // 移除变量
                    userThreadLocal.remove();   //移除ThreadLocal变量
                }
            }, "T" + i);
            threadList.add(t);
            t.start();
        }

        for (int i = 0; i < threadNum; ++i) {
            threadList.get(i).join();
        }
    }
    private static void doSomething() {
        log.info("Use ThreadLocal variable :{}", JSON.toJSONString(userThreadLocal.get()));
    }
}
@Data
@NoArgsConstructor
@AllArgsConstructor
class User {
    private Long id;
    private String name;
    private String level;
}

打印结果:

14:30:26.790 [T2] INFO io.zhengsh.order.tool.ThreadLocalTest - Use ThreadLocal variable :{"id":2,"level":"2x","name":"lanxing2"}
14:30:26.789 [T5] INFO io.zhengsh.order.tool.ThreadLocalTest - Use ThreadLocal variable :{"id":5,"level":"2x","name":"lanxing5"}
14:30:26.792 [T0] INFO io.zhengsh.order.tool.ThreadLocalTest - Use ThreadLocal variable :{"id":0,"level":"2x","name":"lanxing0"}
14:30:26.792 [T4] INFO io.zhengsh.order.tool.ThreadLocalTest - Use ThreadLocal variable :{"id":4,"level":"2x","name":"lanxing4"}
14:30:26.792 [T8] INFO io.zhengsh.order.tool.ThreadLocalTest - Use ThreadLocal variable :{"id":8,"level":"2x","name":"lanxing8"}
14:30:26.791 [T1] INFO io.zhengsh.order.tool.ThreadLocalTest - Use ThreadLocal variable :{"id":1,"level":"2x","name":"lanxing1"}
14:30:26.792 [T7] INFO io.zhengsh.order.tool.ThreadLocalTest - Use ThreadLocal variable :{"id":7,"level":"2x","name":"lanxing7"}
14:30:26.792 [T6] INFO io.zhengsh.order.tool.ThreadLocalTest - Use ThreadLocal variable :{"id":6,"level":"2x","name":"lanxing6"}
14:30:26.791 [T9] INFO io.zhengsh.order.tool.ThreadLocalTest - Use ThreadLocal variable :{"id":9,"level":"2x","name":"lanxing9"}
14:30:26.790 [T3] INFO io.zhengsh.order.tool.ThreadLocalTest - Use ThreadLocal variable :{"id":3,"level":"2x","name":"lanxing3"}

到此这篇关于Java中ThreadLocal 导致内存 OOM 的原因分析的文章就介绍到这了,更多相关Java 内存OOM 内容请搜索脚本之家以前的文章或继续浏览下面的相关文章希望大家以后多多支持脚本之家!

您可能感兴趣的文章:
阅读全文