JavaSE-线程池（5）- 建议使用的方式

news2025/1/12 6:10:04

JavaSE-线程池（5）- 建议使用的方式

虽然JDK Executors 工具类提供了默认的创建线程池的方法，但一般建议自定义线程池参数，下面是阿里巴巴开发手册给出的理由：
另外Spring也提供了线程池的实现，比如 ThreadPoolExecutor

ThreadPoolExecutor

如下，初始化一个核心线程数为 2 ，最大线程数为 4，队列长度为 2 的线程池，其中 initialize 为线程池具体初始化方法

import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;

import java.util.concurrent.ThreadPoolExecutor;

public class ThreadPoolTaskExecutorTest {

    static class MyTask implements Runnable {

        private int i;

        public MyTask(int i) {
            this.i = i;
        }

        @Override
        public void run() {
            try {
                Thread.sleep(1000);
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
            System.out.println(Thread.currentThread() + " " + i);
        }
    }

    public static void main(String[] args) {
        ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
        //设置核心线程数
        executor.setCorePoolSize(2);
        //设置最大线程数
        executor.setMaxPoolSize(4);
        //设置线程被回收的空闲时长
        executor.setKeepAliveSeconds(6);
        //设置队列容量
        executor.setQueueCapacity(2);
        //设置线程前缀
        executor.setThreadNamePrefix("t-");
        //设置拒绝策略
        executor.setRejectedExecutionHandler(new ThreadPoolExecutor.AbortPolicy());
        //初始化线程池
        executor.initialize();
        for (int i = 1; i <= 8; i++) {
            try {
                executor.execute(new MyTask(i));
            } catch (Exception e) {
                e.printStackTrace();
            }
        }
    }
}

由打印结果可以看出7,8任务由于线程数达到 maxPoolSize，且队列也填充满，线程池执行了拒绝策略

18:47:12.134 [main] INFO org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor - Initializing ExecutorService
org.springframework.core.task.TaskRejectedException: Executor [java.util.concurrent.ThreadPoolExecutor@63e2203c[Running, pool size = 4, active threads = 4, queued tasks = 2, completed tasks = 0]] did not accept task: com.hs.example.base.multithread.threadpool.ThreadPoolTaskExecutorTest$MyTask@3224f60b
	at org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor.execute(ThreadPoolTaskExecutor.java:317)
	at com.hs.example.base.multithread.threadpool.ThreadPoolTaskExecutorTest.main(ThreadPoolTaskExecutorTest.java:39)
Caused by: java.util.concurrent.RejectedExecutionException: Task com.hs.example.base.multithread.threadpool.ThreadPoolTaskExecutorTest$MyTask@3224f60b rejected from java.util.concurrent.ThreadPoolExecutor@63e2203c[Running, pool size = 4, active threads = 4, queued tasks = 2, completed tasks = 0]
	at java.util.concurrent.ThreadPoolExecutor$AbortPolicy.rejectedExecution(ThreadPoolExecutor.java:2047)
	at java.util.concurrent.ThreadPoolExecutor.reject(ThreadPoolExecutor.java:823)
	at java.util.concurrent.ThreadPoolExecutor.execute(ThreadPoolExecutor.java:1369)
	at org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor.execute(ThreadPoolTaskExecutor.java:314)
	... 1 more
org.springframework.core.task.TaskRejectedException: Executor [java.util.concurrent.ThreadPoolExecutor@63e2203c[Running, pool size = 4, active threads = 4, queued tasks = 2, completed tasks = 0]] did not accept task: com.hs.example.base.multithread.threadpool.ThreadPoolTaskExecutorTest$MyTask@4bbfb90a
	at org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor.execute(ThreadPoolTaskExecutor.java:317)
	at com.hs.example.base.multithread.threadpool.ThreadPoolTaskExecutorTest.main(ThreadPoolTaskExecutorTest.java:39)
Caused by: java.util.concurrent.RejectedExecutionException: Task com.hs.example.base.multithread.threadpool.ThreadPoolTaskExecutorTest$MyTask@4bbfb90a rejected from java.util.concurrent.ThreadPoolExecutor@63e2203c[Running, pool size = 4, active threads = 4, queued tasks = 2, completed tasks = 0]
	at java.util.concurrent.ThreadPoolExecutor$AbortPolicy.rejectedExecution(ThreadPoolExecutor.java:2047)
	at java.util.concurrent.ThreadPoolExecutor.reject(ThreadPoolExecutor.java:823)
	at java.util.concurrent.ThreadPoolExecutor.execute(ThreadPoolExecutor.java:1369)
	at org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor.execute(ThreadPoolTaskExecutor.java:314)
	... 1 more
Thread[t-4,5,main] 6
Thread[t-1,5,main] 1
Thread[t-3,5,main] 5
Thread[t-2,5,main] 2
Thread[t-3,5,main] 3
Thread[t-4,5,main] 4

ThreadPoolTaskExecutor initialize 方法

在上述例子中，initialize 方法是线程池初始化的具体实现，源码如下：

public void initialize() {
    if (this.logger.isInfoEnabled()) {
        this.logger.info("Initializing ExecutorService" + (this.beanName != null ? " '" + this.beanName + "'" : ""));
    }

    if (!this.threadNamePrefixSet && this.beanName != null) {
        this.setThreadNamePrefix(this.beanName + "-");
    }。；；；；；；；；；；；；；；；；；；；；；；；；；；；；；；；；；；；；；；；；；；；；；；；；；；；；；

    this.executor = this.initializeExecutor(this.threadFactory, this.rejectedExecutionHandler);
}

由以下代码可以看出 ThreadPoolExecutor 是对 ThreadPoolExecutor 的封装，其中 this.threadFactory即为 ThreadPoolExecutor 本身，由下面的类结构图可以看出 ThreadPoolExecutor 继承自 ExecutorConfigurationSupport，而ExecutorConfigurationSupport实现了 ThreadFactory 接口

protected ExecutorService initializeExecutor(ThreadFactory threadFactory, RejectedExecutionHandler rejectedExecutionHandler) {
    BlockingQueue<Runnable> queue = this.createQueue(this.queueCapacity);
    ThreadPoolExecutor executor;
    if (this.taskDecorator != null) {
        executor = new ThreadPoolExecutor(this.corePoolSize, this.maxPoolSize, (long)this.keepAliveSeconds, TimeUnit.SECONDS, queue, threadFactory, rejectedExecutionHandler) {
            public void execute(Runnable command) {
                Runnable decorated = ThreadPoolTaskExecutor.this.taskDecorator.decorate(command);
                if (decorated != command) {
                    ThreadPoolTaskExecutor.this.decoratedTaskMap.put(decorated, command);
                }

                super.execute(decorated);
            }
        };
    } else {
        executor = new ThreadPoolExecutor(this.corePoolSize, this.maxPoolSize, (long)this.keepAliveSeconds, TimeUnit.SECONDS, queue, threadFactory, rejectedExecutionHandler);
    }

    if (this.allowCoreThreadTimeOut) {
        executor.allowCoreThreadTimeOut(true);
    }

    this.threadPoolExecutor = executor;
    return executor;
}

ThreadPoolTaskExecutor 类结构图：

直接注入ThreadPoolTaskExecutor

除了手动实例化 ThreadPoolTaskExecutor 外，也可以直接注入 ThreadPoolTaskExecutor ，如下例：

import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;
import org.springframework.test.context.junit4.SpringRunner;

import java.util.concurrent.CountDownLatch;

@RunWith(SpringRunner.class)
@SpringBootTest
public class ThreadPoolTaskExecutorTests {

    static class MyTask implements Runnable {

        private int i;

        private CountDownLatch countDownLatch;

        public MyTask(int i, CountDownLatch countDownLatch) {
            this.i = i;
            this.countDownLatch = countDownLatch;
        }

        @Override
        public void run() {
            try {
                Thread.sleep(1000);
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
            System.out.println(Thread.currentThread() + " " + i);
            countDownLatch.countDown();
        }
    }

    @Autowired
    private ThreadPoolTaskExecutor taskExecutor;

    @Test
    public void contextLoads() {
        CountDownLatch countDownLatch = new CountDownLatch(8);
        long start = System.currentTimeMillis();
        for (int i = 1; i <= 8; i++) {
            try {
                taskExecutor.execute(new MyTask(i, countDownLatch));
            } catch (Exception e) {
                e.printStackTrace();
            }
        }
        try {
            countDownLatch.await();
        } catch (InterruptedException e) {
            e.printStackTrace();
        }
        System.out.println("耗时：" + (System.currentTimeMillis() - start));
    }

}

2023-02-19 21:25:15.219  INFO 123964 --- [           main] c.h.e.aop.ThreadPoolTaskExecutorTests    : Starting ThreadPoolTaskExecutorTests on 0IZV69K0AKR0ELX with PID 123964 (started by Administrator in D:\workspace\idea_workspace\idea-test\example\2-aop)
2023-02-19 21:25:15.220  INFO 123964 --- [           main] c.h.e.aop.ThreadPoolTaskExecutorTests    : No active profile set, falling back to default profiles: default
2023-02-19 21:25:16.349  INFO 123964 --- [           main] c.h.e.aop.ThreadPoolTaskExecutorTests    : Started ThreadPoolTaskExecutorTests in 1.571 seconds (JVM running for 3.269)
2023-02-19 21:25:16.382  INFO 123964 --- [           main] o.s.s.concurrent.ThreadPoolTaskExecutor  : Initializing ExecutorService 'applicationTaskExecutor'
Thread[task-8,5,main] 8
Thread[task-6,5,main] 6
Thread[task-4,5,main] 4
Thread[task-2,5,main] 2
Thread[task-3,5,main] 3
Thread[task-5,5,main] 5
Thread[task-7,5,main] 7
Thread[task-1,5,main] 1
耗时：1005
2023-02-19 21:25:17.637  INFO 123964 --- [       Thread-2] o.s.s.concurrent.ThreadPoolTaskExecutor  : Shutting down ExecutorService 'applicationTaskExecutor'

之所以可以直接使用 ThreadPoolTaskExecutor ，是因为SpringBoot自动注入了此类，具体看
org.springframework.boot.autoconfigure.task.TaskExecutionAutoConfiguration：

package org.springframework.boot.autoconfigure.task;

import java.util.concurrent.Executor;
import org.springframework.beans.factory.ObjectProvider;
import org.springframework.boot.autoconfigure.condition.ConditionalOnClass;
import org.springframework.boot.autoconfigure.condition.ConditionalOnMissingBean;
import org.springframework.boot.autoconfigure.task.TaskExecutionProperties.Pool;
import org.springframework.boot.context.properties.EnableConfigurationProperties;
import org.springframework.boot.task.TaskExecutorBuilder;
import org.springframework.boot.task.TaskExecutorCustomizer;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Lazy;
import org.springframework.core.task.TaskDecorator;
import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;

@ConditionalOnClass({ThreadPoolTaskExecutor.class})
@Configuration
@EnableConfigurationProperties({TaskExecutionProperties.class})
public class TaskExecutionAutoConfiguration {
    public static final String APPLICATION_TASK_EXECUTOR_BEAN_NAME = "applicationTaskExecutor";
    private final TaskExecutionProperties properties;
    private final ObjectProvider<TaskExecutorCustomizer> taskExecutorCustomizers;
    private final ObjectProvider<TaskDecorator> taskDecorator;

    public TaskExecutionAutoConfiguration(TaskExecutionProperties properties, ObjectProvider<TaskExecutorCustomizer> taskExecutorCustomizers, ObjectProvider<TaskDecorator> taskDecorator) {
        this.properties = properties;
        this.taskExecutorCustomizers = taskExecutorCustomizers;
        this.taskDecorator = taskDecorator;
    }

    @Bean
    @ConditionalOnMissingBean
    public TaskExecutorBuilder taskExecutorBuilder() {
        Pool pool = this.properties.getPool();
        TaskExecutorBuilder builder = new TaskExecutorBuilder();
        builder = builder.queueCapacity(pool.getQueueCapacity());
        builder = builder.corePoolSize(pool.getCoreSize());
        builder = builder.maxPoolSize(pool.getMaxSize());
        builder = builder.allowCoreThreadTimeOut(pool.isAllowCoreThreadTimeout());
        builder = builder.keepAlive(pool.getKeepAlive());
        builder = builder.threadNamePrefix(this.properties.getThreadNamePrefix());
        builder = builder.customizers(this.taskExecutorCustomizers);
        builder = builder.taskDecorator((TaskDecorator)this.taskDecorator.getIfUnique());
        return builder;
    }

    //实例化 ThreadPoolTaskExecutor 
    @Lazy
    @Bean(
        name = {"applicationTaskExecutor", "taskExecutor"}
    )
    @ConditionalOnMissingBean({Executor.class})
    public ThreadPoolTaskExecutor applicationTaskExecutor(TaskExecutorBuilder builder) {
        return builder.build();
    }
}

默认配置 TaskExecutionProperties ：

@ConfigurationProperties("spring.task.execution")
public class TaskExecutionProperties {
    private final TaskExecutionProperties.Pool pool = new TaskExecutionProperties.Pool();
    private String threadNamePrefix = "task-";

    public TaskExecutionProperties() {
    }

    public TaskExecutionProperties.Pool getPool() {
        return this.pool;
    }

    public String getThreadNamePrefix() {
        return this.threadNamePrefix;
    }

    public void setThreadNamePrefix(String threadNamePrefix) {
        this.threadNamePrefix = threadNamePrefix;
    }

    public static class Pool {
        private int queueCapacity = 2147483647;
        private int coreSize = 8;
        private int maxSize = 2147483647;
        private boolean allowCoreThreadTimeout = true;
        private Duration keepAlive = Duration.ofSeconds(60L);

        public Pool() {
        }

        public int getQueueCapacity() {
            return this.queueCapacity;
        }

        public void setQueueCapacity(int queueCapacity) {
            this.queueCapacity = queueCapacity;
        }

        public int getCoreSize() {
            return this.coreSize;
        }

        public void setCoreSize(int coreSize) {
            this.coreSize = coreSize;
        }

        public int getMaxSize() {
            return this.maxSize;
        }

        public void setMaxSize(int maxSize) {
            this.maxSize = maxSize;
        }

        public boolean isAllowCoreThreadTimeout() {
            return this.allowCoreThreadTimeout;
        }

        public void setAllowCoreThreadTimeout(boolean allowCoreThreadTimeout) {
            this.allowCoreThreadTimeout = allowCoreThreadTimeout;
        }

        public Duration getKeepAlive() {
            return this.keepAlive;
        }

        public void setKeepAlive(Duration keepAlive) {
            this.keepAlive = keepAlive;
        }
    }
}

本文来自互联网用户投稿，该文观点仅代表作者本人，不代表本站立场。本站仅提供信息存储空间服务，不拥有所有权，不承担相关法律责任。如若转载，请注明出处：http://www.coloradmin.cn/o/357104.html

如若内容造成侵权/违法违规/事实不符，请联系多彩编程网进行投诉反馈，一经查实，立即删除！

相关文章

Flink02：Flink快速上手（Streaming WorldCount）

Flink02：Flink快速上手（Streaming WorldCount）

一、Flink快速上手 使用 &#xff08;1&#xff09;先把Flink的开发环境配置好。 &#xff08;2&#xff09;创建maven项目&#xff1a;db_flink &#xff08;3&#xff09;首先在model中将scala依赖添加进来。 &#xff08;4&#xff09;然后创建scala目录&#xff0c;因为针…
阅读更多...
Lesson5---NumPy科学计算库

Lesson5---NumPy科学计算库

5.1 多维数组 Python拥有出色的第三方库生态系统在机器学习中&#xff0c;需要把所有的输入数据&#xff0c;都转变为多为数组的形式。score[i, j]二维数组i,j都从0开始 score[5] [85, 72, 61, 92, 80] score[2,5] [[85, 72, 61, 92, 80],[85, 72, 61, 92, 80]] score[30,5…
阅读更多...
Linux系统之iptables应用SNAT与DNAT

Linux系统之iptables应用SNAT与DNAT

目录 SNAT 一.SNAT的原理介绍 1.应用环境 2.SNAT原理 3.SNAT转换前提条件 二.开启SNAT 1.临时打开 2.永久打开 三.SNAT的转换 1.固定的公网IP地址 2.非固定的公网IP地址(共享动态IP地址) 四.SNAT实验 1.实验环境准备 2.配置web服务器&#xff08;192.168.100.100…
阅读更多...
测试3.测试方法的分类

测试3.测试方法的分类

3.测试分类 系统测试包括回归测试和冒烟测试 回归测试&#xff1a;修改了旧的代码后&#xff0c;重新测试功能是否正确&#xff0c;有没有引入新的错误或导致其它代码产生错误 冒烟测试&#xff1a;目的是确认软件基本功能正常&#xff0c;可以进行后续的正式测试工作 按是否…
阅读更多...
什么是 RESTful 风格？

什么是 RESTful 风格？

一、什么是 REST &#xff1f; REST即表述性状态传递&#xff08;英文&#xff1a;Representational State Transfer&#xff0c;简称REST&#xff09;是Roy Thomas Fielding博士在2000年他的博士论文中提出来的一种软件架构风格。它是一种针对网络应用的设计和开发方式&#…
阅读更多...
游戏开发 - 开发流程 - 收集

游戏开发 - 开发流程 - 收集

1.应用场景 主要用于了解&#xff0c;掌握游戏开发的整个流程。 2.学习/操作 1.文档阅读 复习课 | 带你梳理客户端开发的三个重点-极客时间 2.整理输出 2.1 游戏开发流程 -- 参考 按照游戏开发中的三大模块策划、程序、美术&#xff0c;画了一个图。 开发游戏的时候&#xff…
阅读更多...
LeetCode171-Excel表列序号(进制转换问题)

LeetCode171-Excel表列序号(进制转换问题)

LeetCode171-Excel表列序号1、问题描述2、解题思路&#xff1a;进制转换3、代码实现1、问题描述 给你一个字符串columnTitle,表示Excel表格中得列名称。返回该列名称对应得列序号。 例如&#xff1a; A -> 1 B -> 2 C -> 3 ... Z -> 26 AA -> 27 AB -> 28 …
阅读更多...
linux shell 入门学习笔记3 shebang

linux shell 入门学习笔记3 shebang

shebang 计算机程序中&#xff0c;shebang指的是出现在文本文件的第一行前两个字符#! 在Unix系统中&#xff0c;程序会分析shebang后面的内容&#xff0c;作为解释器的指令&#xff0c;例如 以#!/bin/sh 开头的文件&#xff0c;程序在执行的时候会调用/bin/sh&#xff0c;也就…
阅读更多...
[软件工程导论(第六版)]第5章 总体设计（复习笔记）

[软件工程导论(第六版)]第5章 总体设计（复习笔记）

文章目录5.1 设计过程5.2 设计原理5.2.1 模块化5.2.2 抽象5.2.3 逐步求精5.2.4 信息隐藏和局部化5.2.5 模块独立5.3 启发规则5.4 描绘软件结构的图形工具5.4.1 层次图5.4.2 HIPO图5.4.3 结构图5.5 面向数据流的设计方法目的 总体设计的基本目的就是回答“概括地说&#xff0c;系…
阅读更多...
2.19 索引和事务

2.19 索引和事务

一.联合查询面试问题:聚合查询与联合查询的区别聚合查询是行与行之间的数据加工聚合函数 :count,sum,avg...group by 进行分组,指定列的值,相同的记录合并到同一个组,每个组又可以分别进行聚合查询分组还可以指定条件筛选,如果分组之前指定条件 用where,如果对分组之后指定条件…
阅读更多...
＜ CSDN周赛解析：第 28 期 ＞

＜ CSDN周赛解析：第 28 期 ＞

CSDN周赛解析&#xff1a;第 27 期&#x1f449; 第一题&#xff1a; 小Q的鲜榨柠檬汁> 题目解析> 解决方案&#x1f449; 第二题&#xff1a; 三而竭> 解析> 解决方案> 拓展知识&#x1f449; 第三题&#xff1a; 隧道逃生> 解析> 解决方案&#x1f449;…
阅读更多...
【人工智能AI】四、NoSQL进阶《NoSQL 企业级基础入门与进阶实战》

【人工智能AI】四、NoSQL进阶《NoSQL 企业级基础入门与进阶实战》

帮我写一篇介绍NoSQL的技术文章&#xff0c;文章的标题是《四、NoSQL进阶》&#xff0c;不少于3000字。帮我细化到三级目录&#xff0c;使用markdown格式。这篇文章的目录是&#xff1a; 四、NoSQL 进阶 4.1 NoSQL 高可用 4.2 NoSQL 数据安全 4.3 NoSQL 性能优化 4.4 总结 四、…
阅读更多...
Vue：extends继承组件复用性

Vue：extends继承组件复用性

提到extends继承&#xff0c;最先想到的可能是ES6中的class、TS中的interface、面向对象编程语言中中的类和接口概念等等&#xff0c;但是我们今天的关注点在于&#xff1a;如何在Vue中使用extends继承特性。 目录 Vue&#xff1a;创建Vue实例的方式 构造函数方式&#xff1…
阅读更多...
3D点云处理：点云聚类--FEC: Fast Euclidean Clustering for Point Cloud Segmentation

3D点云处理：点云聚类--FEC: Fast Euclidean Clustering for Point Cloud Segmentation

文章目录 聚类结果一、论文内容1.1 Ground Surface Removal1.2 Fast Euclidean Clustering题外：欧几里得聚类Fast Euclidean Clustering二、参考聚类结果 原始代码中采用的是pcl中的搜索方式，替换为另外第三方库，速度得到进一步提升。 一、论文内容 论文中给出的结论：该…
阅读更多...
java基础学习 day42（继承中构造方法的访问特点，this、super的使用总结）

java基础学习 day42（继承中构造方法的访问特点，this、super的使用总结）

继承中&#xff0c;构造方法的访问特点 父类的构造方法不会被子类继承&#xff0c;但可以通过super()调用父类的构造方法&#xff0c;且只能在子类调用&#xff0c;在测试类中是不能手动单写构造方法的。子类中所有的构造方法默认先调用父类的无参构造&#xff0c;再执行自己构…
阅读更多...
vue3+ts+node个人博客系统（三）

vue3+ts+node个人博客系统（三）

一.主页顶部和中心面板布局 &#xff08;1&#xff09; 首先先去element-plus选择合适的布局el-container (2)在头部处编写相应的菜单栏el-menu,在这里要注意动态绑定路由的问题:default-active"$route.path"。将default-active设置为$route.path&#xff0c;el-me…
阅读更多...
[SSD固态硬盘技术 18] Over-Provisioning (OP 预留空间)详解，谁“偷”走了SSD的容量？

[SSD固态硬盘技术 18] Over-Provisioning (OP 预留空间)详解，谁“偷”走了SSD的容量？

</
阅读更多...
Java File类、IO流、Properties属性类

Java File类、IO流、Properties属性类

文章目录一、补充二、File类File类的含义创建多级文件File类的常见方法三、IO流IO流分类输入输出流FileOutputStreamInputStreamInputStream与OutputStream的实例ReaderWriterFileReader和FileWriter的实例缓冲流转换流序列化与ObjectInputStream、ObjectOutputStream打印流Pro…
阅读更多...
MySQL 10：MySQL事务

MySQL 10：MySQL事务

MySQL 中的事务是由存储引擎实现的。在 MySQL 中&#xff0c;只有 InnoDB 存储引擎支持事务。事务处理可用于维护数据库的完整性&#xff0c;确保批处理的 SQL 语句要么执行要么根本不执行。事务用于管理 DDL、DML 和 DCL 操作&#xff0c;例如插入、更新和删除语句&#xff0c…
阅读更多...
JVM10垃圾回收算法

JVM10垃圾回收算法

1.什么是垃圾&#xff1f; 垃圾是指在运行程序中没有任何指针指向的对象&#xff0c;这个对象就是需要被回收的垃圾。 如果不及时对内存中的垃圾进行清理&#xff0c;那么&#xff0c;这些垃圾对象所占的内存空间会一直保留到应用程序的结束&#xff0c;被保留的空间无法被其…
阅读更多...
推荐文章
最新文章

Copyright @ 2022~2023