启动源码详解

  • 通过上面的二篇文章,我相信您对tcc应该有个大体的了解,并且已经搭建好了调试环境,那么就让我们一起探索tcc的源码之旅。
  • 首先看任何框架的源码都需要找到框架的入口,tcc也不例外,还记得我们在项目中applicationContext.xml有一段这么的配置吗?

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    <!-- Aspect 切面配置,是否开启AOP切面-->
    <aop:aspectj-autoproxy expose-proxy="true"/>
    <!--扫描框架的包-->
    <context:component-scan base-package="com.hmily.tcc.*"/>
    <!--启动类属性配置-->
    <bean id="tccTransactionBootstrap" class="com.hmily.tcc.core.bootstrap.TccTransactionBootstrap">
    <property name="serializer" value="kryo"/>
    <property name="coordinatorQueueMax" value="5000"/>
    <property name="coordinatorThreadMax" value="4"/>
    <property name="recoverDelayTime" value="120"/>
    <property name="retryMax" value="3"/>
    <property name="rejectPolicy" value="Abort"/>
    <property name="blockingQueueType" value="Linked"/>
    <property name="scheduledDelay" value="120"/>
    <property name="scheduledThreadMax" value="4"/>
    <property name="repositorySupport" value="db"/>
    <property name="tccDbConfig">
    <bean class="com.hmily.tcc.common.config.TccDbConfig">
    <property name="url"
    value="jdbc:mysql://192.168.1.68:3306/account?useUnicode=true&amp;characterEncoding=utf8"/>
    <property name="driverClassName" value="com.mysql.jdbc.Driver"/>
    <property name="password" value="Wgj@555888"/>
    <property name="username" value="xiaoyu"/>
    </bean>
    </property>
    </bean>
  • 通过以上的配置我们知道首先需要开启Aop切面,再扫描框架的包,重点我们来关注 TccTransactionBootstrap

TccTransactionBootstrap 源码解析

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package com.hmily.tcc.core.bootstrap;
import com.hmily.tcc.common.config.TccConfig;
import com.hmily.tcc.core.helper.SpringBeanUtils;
import com.hmily.tcc.core.service.TccInitService;
import org.springframework.beans.BeansException;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.context.ApplicationContext;
import org.springframework.context.ApplicationContextAware;
import org.springframework.context.ConfigurableApplicationContext;
import org.springframework.stereotype.Component;
@Component
public class TccTransactionBootstrap extends TccConfig implements ApplicationContextAware {
private final TccInitService tccInitService;
@Autowired
public TccTransactionBootstrap(TccInitService tccInitService) {
this.tccInitService = tccInitService;
}
@Override
public void setApplicationContext(ApplicationContext applicationContext) throws BeansException {
//保存spring的上下文
SpringBeanUtils.getInstance().setCfgContext((ConfigurableApplicationContext) applicationContext);
start(this);
}
private void start(TccConfig tccConfig) {
tccInitService.initialization(tccConfig);
}
}
  • 它继承 TccConfig 能获取在xml配置的属性信息,实现 ApplicationContextAware 当spring容器初始化的时候,会自动的将ApplicationContext注入进来

  • 我们继续跟踪代码,进入initialization 方法

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    public void initialization(TccConfig tccConfig) {
    Runtime.getRuntime().addShutdownHook(new Thread(() -> LOGGER.error("系统关闭")));
    try {
    //加载spi配置,把spi的配置注入成spring的bean 方便后续的使用
    //就是框架所支持的序列化,存储方式
    LoadSpiSupport(tccConfig);
    coordinatorService.start(tccConfig);
    } catch (Exception ex) {
    LogUtil.error(LOGGER, "tcc事务初始化异常:{}", ex::getMessage);
    System.exit(1);//非正常关闭
    }
    LogUtil.info(LOGGER, () -> "Tcc事务初始化成功!");
    }
  • LoadSpiSupport 采用jdk自带的spi加载,如果有不明白的小伙伴,可以自行google

  • 我们继续进入 coordinatorService.start(tccConfig)

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    @Override
    public void start(TccConfig tccConfig) throws Exception {
    this.tccConfig = tccConfig;
    //获取应用名称
    final String appName = applicationService.acquireName();
    //获取上一步加载的spi资源信息
    coordinatorRepository = SpringBeanUtils.getInstance().getBean(CoordinatorRepository.class);
    //初始化spi 协调资源存储
    coordinatorRepository.init(appName, tccConfig);
    //初始化 协调资源线程池
    initCoordinatorPool();
    //定时执行补偿
    scheduledRollBack();
    }
  • coordinatorRepository.init(appName, tccConfig) 就是根据spi思想来具体初始化,现在支持的如图:

  • initCoordinatorPool() 初始化 协调资源线程池

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    private void initCoordinatorPool() {
    synchronized (LOGGER) {
    //采用LinkedBlockingQueue
    QUEUE = new LinkedBlockingQueue<>(tccConfig.getCoordinatorQueueMax());
    final int coordinatorThreadMax = tccConfig.getCoordinatorThreadMax();
    final TccTransactionThreadPool threadPool = SpringBeanUtils.getInstance().getBean(TccTransactionThreadPool.class);
    //获取固定数量线程大小的线程池
    final ExecutorService executorService = threadPool.newCustomFixedThreadPool(coordinatorThreadMax);
    LogUtil.info(LOGGER, "启动协调资源操作线程数量为:{}", () -> coordinatorThreadMax);
    for (int i = 0; i < coordinatorThreadMax; i++) {
    //执行线程
    executorService.execute(new Worker());
    }
    }
    }
    class Worker implements Runnable {
    @Override
    public void run() {
    execute();
    }
    private void execute() {
    while (true) {
    try {
    //阻塞队列获取
    final CoordinatorAction coordinatorAction = QUEUE.take();
    if (coordinatorAction != null) {
    final int code = coordinatorAction.getAction().getCode();
    if (CoordinatorActionEnum.SAVE.getCode() == code) {
    save(coordinatorAction.getTccTransaction());
    } else if (CoordinatorActionEnum.DELETE.getCode() == code) {
    remove(coordinatorAction.getTccTransaction().getTransId());
    } else if (CoordinatorActionEnum.UPDATE.getCode() == code) {
    update(coordinatorAction.getTccTransaction());
    }
    }
    } catch (Exception e) {
    e.printStackTrace();
    LogUtil.error(LOGGER, "执行协调命令失败:{}", e::getMessage);
    }
    }
    }
    }
  • scheduledRollBack() 执行定时补偿,这个以后再详细讲解逻辑

到此tcc框架的初始化就已经完成的启动,是不是很简单?如有任何问题或者建议欢迎加入QQ群:162614487 进行讨论