博客
关于我
Juc20_LockSupport
阅读量:198 次
发布时间:2019-02-28

本文共 1405 字,大约阅读时间需要 4 分钟。

LockSupport??

1. ???LockSupport?

LockSupport ? Java ??????????????????????????????????? permit???????????????????????????

LockSupport ??????? park() ? unpark()??????????????????????????????????? Unsafe ?? native ????????????????

2. ????

  • permit???0??????? park() ?????????????????????? unpark() ??????
  • park() ??????????????????????????? unpark() ??????? 1?
  • park(Object blocker)?????????????????????????

3. ????

  • unpark(Thread thread)??????? permit ?? 1?????????????????permit ?????? 1??????? unpark() ??????????????
  • unpark() ?????????????????????

4. LockSupport ???

  • ?????LockSupport ???? permit ???????????????
  • ???????????????????????????????????

5. ????

??????? LockSupport ?????????

public class LockSupportDemo {    public static void main(String[] args) {        Thread t1 = new Thread(() -> {            System.out.println(Thread.currentThread().getName() + "\t" + "??A??");            LockSupport.park();            System.out.println(Thread.currentThread().getName() + "\t" + "?B??");        }, "A");        t1.start();        Thread t2 = new Thread(() -> {            System.out.println(Thread.currentThread().getName() + "\t" + "??A??");            LockSupport.unpark(t1);        }, "B");        t2.start();    }}

6. ??????

  • ???????????????????????????????????? park() ??????? permit ??????????????

  • ???????????????? permit ??? 1??????? unpark() ??????????? park() ?????????????? permit ??? 0 ???????

转载地址:http://ledj.baihongyu.com/

你可能感兴趣的文章
Pandas-从具有嵌套列表列表的现有列创建动态列时出错
查看>>
Pandas-通过对列和索引的值求和来合并两个数据框
查看>>
pandas.columns、get_dummies等用法
查看>>
pandas.DataFrame.copy(deep=True) 实际上并不创建深拷贝
查看>>
pandas.read_csv()的详解-ChatGPT4o作答
查看>>
PANDAS.READ_EXCEL()输出‘;溢出错误:日期值超出范围‘;而不存在日期列
查看>>
pandas100个骚操作:再见 for 循环!速度提升315倍!
查看>>
Pandas:如何根据其他列值的条件对列进行求和?
查看>>
Pandas:对给定列求和 DataFrame 行
查看>>
Pandas、Matplotlib、Pyecharts数据分析实践
查看>>
Pandas中文官档~基础用法2
查看>>
Pandas中文官档~基础用法5
查看>>
Pandas中文官档~基础用法6
查看>>
Pandas中的GROUP BY AND SUM不丢失列
查看>>
pandas交换两列
查看>>
pandas介绍-ChatGPT4o作答
查看>>
pandas去除Nan值
查看>>
pandas实战:电商平台用户分析
查看>>
Pandas库函数
查看>>
Pandas库常用方法、函数集合
查看>>