亲宝软件园·资讯

展开

Nacos配置中心集群原理

mic 人气:0

Nacos作为配置中心,必然需要保证服务节点的高可用性,那么Nacos是如何实现集群的呢?

下面这个图,表示Nacos集群的部署图。

Nacos集群工作原理

Nacos作为配置中心的集群结构中,是一种无中心化节点的设计,由于没有主从节点,也没有选举机制,所以为了能够实现热备,就需要增加虚拟IP(VIP)。

Nacos的数据存储分为两部分

在Nacos的设计中,Mysql是一个中心数据仓库,且认为在Mysql中的数据是绝对正确的。 除此之外,Nacos在启动时会把Mysql中的数据写一份到本地磁盘。

这么设计的好处是可以提高性能,当客户端需要请求某个配置项时,服务端会想Ian从磁盘中读取对应文件返回,而磁盘的读取效率要比数据库效率高。

当配置发生变更时:

另外,NacosServer启动后,会同步启动一个定时任务,每隔6小时,会dump一次全量数据到本地文件

配置变更同步入口

当配置发生修改、删除、新增操作时,通过发布一个notifyConfigChange事件。

@PostMapping
@Secured(action = ActionTypes.WRITE, parser = ConfigResourceParser.class)
public Boolean publishConfig(HttpServletRequest request, HttpServletResponse response,
        @RequestParam(value = "dataId") String dataId, @RequestParam(value = "group") String group,
        @RequestParam(value = "tenant", required = false, defaultValue = StringUtils.EMPTY) String tenant,
        @RequestParam(value = "content") String content, @RequestParam(value = "tag", required = false) String tag,
        @RequestParam(value = "appName", required = false) String appName,
        @RequestParam(value = "src_user", required = false) String srcUser,
        @RequestParam(value = "config_tags", required = false) String configTags,
        @RequestParam(value = "desc", required = false) String desc,
        @RequestParam(value = "use", required = false) String use,
        @RequestParam(value = "effect", required = false) String effect,
        @RequestParam(value = "type", required = false) String type,
        @RequestParam(value = "schema", required = false) String schema) throws NacosException {
   //省略..
    if (StringUtils.isBlank(betaIps)) {
        if (StringUtils.isBlank(tag)) {
            persistService.insertOrUpdate(srcIp, srcUser, configInfo, time, configAdvanceInfo, true);
            ConfigChangePublisher
                    .notifyConfigChange(new ConfigDataChangeEvent(false, dataId, group, tenant, time.getTime()));
        } else {
            persistService.insertOrUpdateTag(configInfo, tag, srcIp, srcUser, time, true);
            ConfigChangePublisher.notifyConfigChange(
                    new ConfigDataChangeEvent(false, dataId, group, tenant, tag, time.getTime()));
        }
    }//省略
    return true;
}

AsyncNotifyService

配置数据变更事件,专门有一个监听器AsyncNotifyService,它会处理数据变更后的同步事件。

@Autowired
public AsyncNotifyService(ServerMemberManager memberManager) {
    this.memberManager = memberManager;
    // Register ConfigDataChangeEvent to NotifyCenter.
    NotifyCenter.registerToPublisher(ConfigDataChangeEvent.class, NotifyCenter.ringBufferSize);
    // Register A Subscriber to subscribe ConfigDataChangeEvent.
    NotifyCenter.registerSubscriber(new Subscriber() {
        @Override
        public void onEvent(Event event) {
            // Generate ConfigDataChangeEvent concurrently
            if (event instanceof ConfigDataChangeEvent) {
                ConfigDataChangeEvent evt = (ConfigDataChangeEvent) event;
                long dumpTs = evt.lastModifiedTs;
                String dataId = evt.dataId;
                String group = evt.group;
                String tenant = evt.tenant;
                String tag = evt.tag;
                Collection<Member> ipList = memberManager.allMembers(); //得到集群中的ip列表
                // 构建NotifySingleTask,并添加到队列中。
                Queue<NotifySingleTask> queue = new LinkedList<NotifySingleTask>();
                for (Member member : ipList) { //遍历集群中的每个节点
                    queue.add(new NotifySingleTask(dataId, group, tenant, tag, dumpTs, member.getAddress(),
                            evt.isBeta));
                }
                //异步执行任务 AsyncTask
                ConfigExecutor.executeAsyncNotify(new AsyncTask(nacosAsyncRestTemplate, queue));
            }
        }
        @Override
        public Class<? extends Event> subscribeType() {
            return ConfigDataChangeEvent.class;
        }
    });
}

AsyncTask

@Override
public void run() {
    executeAsyncInvoke();
}
private void executeAsyncInvoke() {
    while (!queue.isEmpty()) {//遍历队列中的数据,直到数据为空
        NotifySingleTask task = queue.poll(); //获取task
        String targetIp = task.getTargetIP(); //获取目标ip
        
        if (memberManager.hasMember(targetIp)) { //如果集群中的ip列表包含目标ip
            // start the health check and there are ips that are not monitored, put them directly in the notification queue, otherwise notify
            //判断目标ip的健康状态
            boolean unHealthNeedDelay = memberManager.isUnHealth(targetIp); //
            if (unHealthNeedDelay) { //如果目标服务是非健康,则继续添加到队列中,延后再执行。
                // target ip is unhealthy, then put it in the notification list
                ConfigTraceService.logNotifyEvent(task.getDataId(), task.getGroup(), task.getTenant(), null,
                        task.getLastModified(), InetUtils.getSelfIP(), ConfigTraceService.NOTIFY_EVENT_UNHEALTH,
                        0, task.target);
                // get delay time and set fail count to the task
                asyncTaskExecute(task);
            } else {
                //构建header
                Header header = Header.newInstance();
                header.addParam(NotifyService.NOTIFY_HEADER_LAST_MODIFIED, String.valueOf(task.getLastModified()));
                header.addParam(NotifyService.NOTIFY_HEADER_OP_HANDLE_IP, InetUtils.getSelfIP());
                if (task.isBeta) {
                    header.addParam("isBeta", "true");
                }
                AuthHeaderUtil.addIdentityToHeader(header);
                //通过restTemplate发起远程调用,如果调用成功,则执行AsyncNotifyCallBack的回调方法
                restTemplate.get(task.url, header, Query.EMPTY, String.class, new AsyncNotifyCallBack(task));
            }
        }
    }
}

目标节点接收请求

数据同步的请求地址为,task.url=http://192.168.8.16:8848/nacos/v1/cs/communication/dataChange?dataId=log.yaml&group=DEFAULT_GROUP

@GetMapping("/dataChange")
public Boolean notifyConfigInfo(HttpServletRequest request, @RequestParam("dataId") String dataId,
        @RequestParam("group") String group,
        @RequestParam(value = "tenant", required = false, defaultValue = StringUtils.EMPTY) String tenant,
        @RequestParam(value = "tag", required = false) String tag) {
    dataId = dataId.trim();
    group = group.trim();
    String lastModified = request.getHeader(NotifyService.NOTIFY_HEADER_LAST_MODIFIED);
    long lastModifiedTs = StringUtils.isEmpty(lastModified) ? -1 : Long.parseLong(lastModified);
    String handleIp = request.getHeader(NotifyService.NOTIFY_HEADER_OP_HANDLE_IP);
    String isBetaStr = request.getHeader("isBeta");
    if (StringUtils.isNotBlank(isBetaStr) && trueStr.equals(isBetaStr)) {
        dumpService.dump(dataId, group, tenant, lastModifiedTs, handleIp, true);
    } else {
        //
        dumpService.dump(dataId, group, tenant, tag, lastModifiedTs, handleIp);
    }
    return true;
}

dumpService.dump用来实现配置的更新,代码如下

当前任务会被添加到DumpTaskMgr中管理。

public void dump(String dataId, String group, String tenant, String tag, long lastModified, String handleIp,
        boolean isBeta) {
    String groupKey = GroupKey2.getKey(dataId, group, tenant);
    String taskKey = String.join("+", dataId, group, tenant, String.valueOf(isBeta), tag);
    dumpTaskMgr.addTask(taskKey, new DumpTask(groupKey, tag, lastModified, handleIp, isBeta));
    DUMP_LOG.info("[dump-task] add task. groupKey={}, taskKey={}", groupKey, taskKey);
}

TaskManager.addTask, 先调用父类去完成任务添加。

@Override
public void addTask(Object key, AbstractDelayTask newTask) {
    super.addTask(key, newTask);
    MetricsMonitor.getDumpTaskMonitor().set(tasks.size());
}

在这种场景设计中,一般都会采用生产者消费者模式来完成,因此这里不难猜测到,任务会被保存到一个队列中,然后有另外一个线程来执行。

NacosDelayTaskExecuteEngine

TaskManager的父类是NacosDelayTaskExecuteEngine,

这个类中有一个成员属性protected final ConcurrentHashMap<Object, AbstractDelayTask> tasks;,专门来保存延期执行的任务类型AbstractDelayTask.

在这个类的构造方法中,初始化了一个延期执行的任务,其中具体的任务是ProcessRunnable.

public NacosDelayTaskExecuteEngine(String name, int initCapacity, Logger logger, long processInterval) {
    super(logger);
    tasks = new ConcurrentHashMap<Object, AbstractDelayTask>(initCapacity);
    processingExecutor = ExecutorFactory.newSingleScheduledExecutorService(new NameThreadFactory(name));
    processingExecutor
            .scheduleWithFixedDelay(new ProcessRunnable(), processInterval, processInterval, TimeUnit.MILLISECONDS);
}

ProcessRunnable

private class ProcessRunnable implements Runnable {
    @Override
    public void run() {
        try {
            processTasks();
        } catch (Throwable e) {
            getEngineLog().error(e.toString(), e);
        }
    }
}

processTasks

protected void processTasks() {
    //获取所有的任务
    Collection<Object> keys = getAllTaskKeys();
    for (Object taskKey : keys) {
        AbstractDelayTask task = removeTask(taskKey);
        if (null == task) {
            continue;
        }
        //获取任务处理器,这里返回的是DumpProcessor
        NacosTaskProcessor processor = getProcessor(taskKey);
        if (null == processor) {
            getEngineLog().error("processor not found for task, so discarded. " + task);
            continue;
        }
        try {
            // ReAdd task if process failed
            //执行具体任务
            if (!processor.process(task)) {
                retryFailedTask(taskKey, task);
            }
        } catch (Throwable e) {
            getEngineLog().error("Nacos task execute error : " + e.toString(), e);
            retryFailedTask(taskKey, task);
        }
    }
}

DumpProcessor.process

读取数据库的最新数据,然后更新本地缓存和磁盘

加载全部内容

相关教程
猜你喜欢
用户评论