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[从源码学设计]蚂蚁金服SOFARegistry之延迟操作

开发技术 开发技术 1个月前 (01-24) 22次浏览

[从源码学设计]蚂蚁金服SOFARegistry之延迟操作

0x00 摘要

SOFARegistry 是蚂蚁金服开源的一个生产级、高时效、高可用的服务注册中心。

本系列文章重点在于分析设计和架构,即利用多篇文章,从多个角度反推总结 DataServer 或者 SOFARegistry 的实现机制和架构思路,让大家借以学习阿里如何设计。

本文为第十七篇,介绍SOFARegistry的延迟操作。

0x01 业务领域

1.1 业务缘由

为什么要有AfterWorkingProcess?

AfterWorkingProcess 的作用是延迟操作。猜测大致是因为某些情况下,无法执行业务,只能在后续时机进行弥补。

在官方博客有类似论述也支持我们的判断 :

在数据未同步完成之前,所有对新节点的读数据操作,将转发到拥有该数据分片的数据节点。

在数据未同步完成之前,禁止对新节点的写数据操作,防止在数据同步过程中出现新的数据不一致情况。

1.2 学习方向

可以看到类似这种业务上延迟操作应该如何实现。

0x02 实现

2.1 定义

接口定义如下:

public interface AfterWorkingProcess {
    void afterWorkingProcess();
    int getOrder();
}

2.2 配置

这个 afterWorkProcessors 会作为 AfterWorkingProcessHandler 的成员变量进行处理。用于处理一些业务逻辑结束后的处理动作。

        @Bean(name = "afterWorkProcessors")
        public List<AfterWorkingProcess> afterWorkingProcessors() {
            List<AfterWorkingProcess> list = new ArrayList<>();
            list.add(renewDatumHandler());
            list.add(datumLeaseManager());
            list.add(disconnectEventHandler());
            list.add(notifyDataSyncHandler());
            return list;
        }

        @Bean
        public AfterWorkingProcessHandler afterWorkingProcessHandler() {
            return new AfterWorkingProcessHandler();
        }

2.3 引擎

这里用法比较少见。AfterWorkingProcessHandler 也是 AfterWorkingProcess 的实现类

在其 afterWorkingProcess 函数中,会对 Bean afterWorkingProcessors 中间注册的实现类一一调用其 afterWorkingProcess 业务函数。

其中,getOrder 会指定执行优先级,这是一个常见套路。

public class AfterWorkingProcessHandler implements AfterWorkingProcess {

    @Resource(name = "afterWorkProcessors")
    private List<AfterWorkingProcess> afterWorkingProcessors;

    @Override
    public void afterWorkingProcess() {

        if(afterWorkingProcessors != null){
            List<AfterWorkingProcess> list = afterWorkingProcessors.stream().sorted(Comparator.comparing(AfterWorkingProcess::getOrder)).collect(Collectors.toList());

            list.forEach(AfterWorkingProcess::afterWorkingProcess);
        }
    }

    @Override
    public int getOrder() {
        return 0;
    }
}

2.4 调用

只有在 DataServerCache # updateDataServerStatus 函数中有调用:

afterWorkingProcessHandler.afterWorkingProcess();

而在 DataServerCache 中有如下函数都会调用到 updateDataServerStatus:

  • synced
  • notifiedAll
  • checkAndUpdateStatus
  • addNotWorkingServer

图示如下:

+------------------------------------------+
| DataServerCache                          |                                 +----------------------------------------------+
|                                          |                                 |   AfterWorkingProcess                        |
| synced +----------------------+          |                                 |                                              |
|                               |          | +----------------------------+  | +------------------------------------------+ |
|                               |          | | AfterWorkingProcessHandler |  | |renewDatumHandler.afterWorkingProcess     | |
|                               |          | |                            |  | |                                          | |
|                               v          | |                            |  | |datumLeaseManager.afterWorkingProcess     | |
| notifiedAll +--->updateDataServerStatus +------> afterWorkingProcess +------>+                                          | |
|                                 ^   ^    | |                            |  | |disconnectEventHandler.afterWorkingProcess| |
|                                 |   |    | +----------------------------+  | |                                          | |
|                                 |   |    |                                 | |notifyDataSyncHandler.afterWorkingProcess | |
| checkAndUpdateStatus+-----------+   |    |                                 | +------------------------------------------+ |
|                                     |    |                                 +----------------------------------------------+
| addNotWorkingServer +---------------+    |
|                                          |
+------------------------------------------+

手机如下:

[从源码学设计]蚂蚁金服SOFARegistry之延迟操作

因为是业务关联,所以不需要什么定时,异步之类。

2.5 业务实现

2.5.1 DisconnectEventHandler

public class DisconnectEventHandler implements InitializingBean, AfterWorkingProcess {
    /**
     * a DelayQueue that contains client disconnect events
     */
    private final DelayQueue<DisconnectEvent>           EVENT_QUEUE        = new DelayQueue<>();

    @Autowired
    private SessionServerConnectionFactory              sessionServerConnectionFactory;

    @Autowired
    private DataChangeEventCenter                       dataChangeEventCenter;

    @Autowired
    private DataServerConfig                            dataServerConfig;

    @Autowired
    private DataNodeStatus                              dataNodeStatus;

    private static final int                            BLOCK_FOR_ALL_SYNC = 5000;

    private static final BlockingQueue<DisconnectEvent> noWorkQueue        = new LinkedBlockingQueue<>();
}

在receive的正常业务操作中,如果发现本身状态不是 WORKING,则把event放入 BlockingQueue 之中。

public void receive(DisconnectEvent event) {
        if (event.getType() == DisconnectTypeEnum.SESSION_SERVER) {
            SessionServerDisconnectEvent sessionServerDisconnectEvent = (SessionServerDisconnectEvent) event;
                sessionServerDisconnectEvent.getProcessId());
        } else if (event.getType() == DisconnectTypeEnum.CLIENT) {
            ClientDisconnectEvent clientDisconnectEvent = (ClientDisconnectEvent) event;
        }

        if (dataNodeStatus.getStatus() != LocalServerStatusEnum.WORKING) {
            noWorkQueue.add(event);
            return;
        }
        EVENT_QUEUE.add(event);
}

当时机来到时候,系统再次调用afterWorkingProcess。这里会始终Block在noWorkQueue上,如果不为空,则会执行请求。

public void afterWorkingProcess() {
    try {
        /*
         * After the snapshot data is synchronized during startup, it is queued and then placed asynchronously into
         * DatumCache. When the notification becomes WORKING, there may be data in the queue that is not executed
         * to DatumCache. So it need to sleep for a while.
         */
        TimeUnit.MILLISECONDS.sleep(BLOCK_FOR_ALL_SYNC);

        while (!noWorkQueue.isEmpty()) {
            DisconnectEvent event = noWorkQueue.poll(1, TimeUnit.SECONDS);
            if (event != null) {
                receive(event);
            }
        }
    } 
}

图示如下:

+----------------------------------------------------------+
|                                  DisconnectEventHandler  |
|    +-------------------------+                           |
|    | receive                 |                           |
|    |                         |  NOT WORKING              |
|    | dataNodeStatus.getStatus+---------------+           |
|    |            +            |               |           |
|    |            | WORKING    |               | add       |
|    |            |            |               |           |
|    |            v            |               |           |
|    |  EVENT_QUEUE.add(event) |               |           |
|    |                         |           +---v---------+ |
|    +-------------------------+           |             | |
|                                          | noWorkQueue | |
|                                          |             | |
|    +-----------------------+             +-----+-------+ |
|    | afterWorkingProcess   |                   |         |
|    |                       |                   | poll    |
|    |                       |      NOT isEmpty  |         |
|    |     receive(event) <----------------------+         |
|    |                       |                             |
|    |                       |                             |
|    +-----------------------+                             |
+----------------------------------------------------------+

2.5.2 NotifyDataSyncHandler

DisconnectEventHandler 和 NotifyDataSyncHandler 的实现类似。

依托一个 LinkedBlockingQueue 做缓存queue。

public class NotifyDataSyncHandler extends AbstractClientHandler<NotifyDataSyncRequest> implements AfterWorkingProcess {
  
  private static final BlockingQueue<SyncDataRequestForWorking> noWorkQueue = new LinkedBlockingQueue<>();
  
}

在doHandle的正常业务操作中,如果发现本身状态不是 WORKING,则用业务逻辑SyncDataRequestForWorking 构建一个消息 SyncDataRequestForWorking,放入 LinkedBlockingQueue 之中。

@Override
public Object doHandle(Channel channel, NotifyDataSyncRequest request) {
        final Connection connection = ((BoltChannel) channel).getConnection();
        if (dataNodeStatus.getStatus() != LocalServerStatusEnum.WORKING) {
            noWorkQueue.add(new SyncDataRequestForWorking(connection, request));
            return CommonResponse.buildSuccessResponse();
        }
        executorRequest(connection, request);
        return CommonResponse.buildSuccessResponse();
}

当时机来到时候,系统再次调用afterWorkingProcess。这里会始终Block在noWorkQueue上,如果不为空,则会执行请求。

@Override
public void afterWorkingProcess() {
            while (!noWorkQueue.isEmpty()) {
                SyncDataRequestForWorking event = noWorkQueue.poll(1, TimeUnit.SECONDS);
                if (event != null) {
                    executorRequest(event.getConnection(), event.getRequest());
                }
            }
        } 
}

图示如下:

+----------------------------------------------------------+
|                                   NotifyDataSyncHandler  |
|    +-------------------------+                           |
|    | doHandle                |                           |
|    |                         |  NOT WORKING              |
|    | dataNodeStatus.getStatus+---------------+           |
|    |            +            |               |           |
|    |            | WORKING    |               | add       |
|    |            |            |               |           |
|    |            v            |               |           |
|    |     executorRequest     |               |           |
|    |                         |           +---v---------+ |
|    +-------------------------+           |             | |
|                                          | noWorkQueue | |
|                                          |             | |
|    +-----------------------+             +-----+-------+ |
|    | afterWorkingProcess   |                   |         |
|    |                       |                   | poll    |
|    |                       |      NOT isEmpty  |         |
|    |   executorRequest  <----------------------+         |
|    |                       |                             |
|    |                       |                             |
|    +-----------------------+                             |
+----------------------------------------------------------+

2.5.3 RenewDatumHandler

RenewDatumHandler 同 DatumLeaseManager 这两者很类似。并没有使用queue,只是提交一个线程。

其实现目的在注释中写的很清楚:

/* * After the snapshot data is synchronized during startup, it is queued and then placed asynchronously into * DatumCache. When the notification becomes WORKING, there may be data in the queue that is not executed * to DatumCache. So it need to sleep for a while. */

但是细节又有所不同,这两个类是同一个作者,怀疑此君在实验比较两种不同实现方式。

RenewDatumHandler 基于 ThreadPoolExecutorDataServer 来实现。

public class RenewDatumHandler extends AbstractServerHandler<RenewDatumRequest> implements
                                                                               AfterWorkingProcess {

    @Autowired
    private ThreadPoolExecutor  renewDatumProcessorExecutor;

}

renewDatumProcessorExecutor 是一个Bean,具体代码如下,ArrayBlockingQueue:是一个基于数组结构的有界阻塞队列,按FIFO原则进行排序

@Bean(name = "renewDatumProcessorExecutor")
public ThreadPoolExecutor renewDatumProcessorExecutor(DataServerConfig dataServerConfig) {
            return new ThreadPoolExecutorDataServer("RenewDatumProcessorExecutor",
                dataServerConfig.getRenewDatumExecutorMinPoolSize(),
                dataServerConfig.getRenewDatumExecutorMaxPoolSize(), 300, TimeUnit.SECONDS,
                new ArrayBlockingQueue<>(dataServerConfig.getRenewDatumExecutorQueueSize()),
                new NamedThreadFactory("DataServer-RenewDatumProcessor-executor", true));
}

ThreadPoolExecutorDataServer 主要代码如下,就是简单继承了ThreadPoolExecutor,估计这里后续会有新功能添加,现在只是占坑:

public class ThreadPoolExecutorDataServer extends ThreadPoolExecutor {
    @Override
    public void execute(Runnable command) {
		super.execute(command);
    }
}

对于afterWorkingProcess,就是提交了一个线程,其业务是:等待一段时间,然后设置renewEnabled。

@Override
public void afterWorkingProcess() {
        renewDatumProcessorExecutor.submit(() -> {
            TimeUnit.MILLISECONDS.sleep(dataServerConfig.getRenewEnableDelaySec());
            renewEnabled.set(true);
        });
}

0xFF 参考

蚂蚁金服服务注册中心如何实现 DataServer 平滑扩缩容

蚂蚁金服服务注册中心 SOFARegistry 解析 | 服务发现优化之路

服务注册中心 Session 存储策略 | SOFARegistry 解析

海量数据下的注册中心 – SOFARegistry 架构介绍

服务注册中心数据分片和同步方案详解 | SOFARegistry 解析

蚂蚁金服开源通信框架SOFABolt解析之连接管理剖析

蚂蚁金服开源通信框架SOFABolt解析之超时控制机制及心跳机制

蚂蚁金服开源通信框架 SOFABolt 协议框架解析

蚂蚁金服服务注册中心数据一致性方案分析 | SOFARegistry 解析

蚂蚁通信框架实践

sofa-bolt 远程调用

sofa-bolt学习

SOFABolt 设计总结 – 优雅简洁的设计之道

SofaBolt源码分析-服务启动到消息处理

SOFABolt 源码分析

SOFABolt 源码分析9 – UserProcessor 自定义处理器的设计

SOFARegistry 介绍

SOFABolt 源码分析13 – Connection 事件处理机制的设计


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