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Spring Cloud集成Nacos Config动态刷新源码剖析

作者:用户28128825

这篇文章主要为大家介绍了Spring Cloud集成Nacos Config动态刷新源码剖析,有需要的朋友可以借鉴参考下,希望能够有所帮助,祝大家多多进步,早日升职加薪

正文

从远端服务器获取变更数据的主要模式有两种:推(push)和拉(pull)。Push 模式简单来说就是服务端主动将数据变更信息推送给客户端,这种模式优点是时效性好,服务端数据发生变更可以立马通知到客户端,但这种模式需要服务端维持与客户端的心跳连接,会增加服务端实现的复杂度,服务端也需要占用更多的资源来维持与客户端的连接。

而 Pull 模式则是客户端主动去服务器请求数据,例如,每间隔10ms就向服务端发起请求获取数据。显而易见pull模式存在时效性问题。

请求的间隔也不太好设置,间隔太短,对服务器请求压力过大。间隔时间过长,那么必然会造成时效性很差。而且如果配置长时间不更新,并且存在大量的客户端就会产生大量无效的pull请求。

Nacos Config动态刷新机制

Nacos 没有采用上述的两种模式,而是采用了长轮询方式结合了推和拉的优点:

如果你觉得源码枯燥的话,可以选择不看后半部分的源码,先通过这张流程图去了解Nacos动态刷新机制的流程:

Nacos Config 长轮询源码剖析

首先,打开 com.alibaba.cloud.nacos.NacosConfigBootstrapConfiguration 这个类,从类名也可以看出该类是Nacos Config的启动配置类,是Nacos Config自动装配的入口。在该类中的 nacosConfigManager 方法实例化了一个 NacosConfigManager 对象,并注册到容器中:

@Bean
@ConditionalOnMissingBean
public NacosConfigManager nacosConfigManager(
		NacosConfigProperties nacosConfigProperties) {
	return new NacosConfigManager(nacosConfigProperties);
}

NacosConfigManager 的构造器中调用了 createConfigService 方法,这是一个静态方法用来创建 ConfigService 对象的单例。

/**
 * Compatible with old design,It will be perfected in the future.
 */
static ConfigService createConfigService(
		NacosConfigProperties nacosConfigProperties) {
    // 双重检查锁模式的单例
	if (Objects.isNull(service)) {
		synchronized (NacosConfigManager.class) {
			try {
				if (Objects.isNull(service)) {
					service = NacosFactory.createConfigService(
							nacosConfigProperties.assembleConfigServiceProperties());
				}
			}
			catch (NacosException e) {
				log.error(e.getMessage());
				throw new NacosConnectionFailureException(
						nacosConfigProperties.getServerAddr(), e.getMessage(), e);
			}
		}
	}
	return service;
}

ConfigService 的具体实现是 NacosConfigService,在该类的构造器中主要初始化了 HttpAgentClientWorker 对象。

ClientWorker构造器初始化线程池

ClientWorker 的构造器中则初始化了几个线程池:

public ClientWorker(final HttpAgent agent, final ConfigFilterChainManager configFilterChainManager,
        final Properties properties) {
    this.agent = agent;
    this.configFilterChainManager = configFilterChainManager;
    // Initialize the timeout parameter
    init(properties);
    // 创建具有定时执行功能的单线程池,用于定时执行 checkConfigInfo 方法
    this.executor = Executors.newScheduledThreadPool(1, new ThreadFactory() {
        @Override
        public Thread newThread(Runnable r) {
            Thread t = new Thread(r);
            t.setName("com.alibaba.nacos.client.Worker." + agent.getName());
            t.setDaemon(true);
            return t;
        }
    });
    // 创建具有定时执行功能的且线程数与cpu核数相对应的线程池,用于根据需要动态刷新的配置文件执行 LongPollingRunnable,因此长轮询任务是可以有多个并行的
    this.executorService = Executors
            .newScheduledThreadPool(Runtime.getRuntime().availableProcessors(), new ThreadFactory() {
                @Override
                public Thread newThread(Runnable r) {
                    Thread t = new Thread(r);
                    t.setName("com.alibaba.nacos.client.Worker.longPolling." + agent.getName());
                    t.setDaemon(true);
                    return t;
                }
            });
    // 每10ms执行一次 checkConfigInfo 方法
    this.executor.scheduleWithFixedDelay(new Runnable() {
        @Override
        public void run() {
            try {
                checkConfigInfo();
            } catch (Throwable e) {
                LOGGER.error("[" + agent.getName() + "] [sub-check] rotate check error", e);
            }
        }
    }, 1L, 10L, TimeUnit.MILLISECONDS);
}
private void init(Properties properties) {
    // 长轮询的超时时间,默认为30秒,此参数会被放到请求头中带到服务端,服务端会根据该参数去做长轮询的hold
    timeout = Math.max(ConvertUtils.toInt(properties.getProperty(PropertyKeyConst.CONFIG_LONG_POLL_TIMEOUT),
            Constants.CONFIG_LONG_POLL_TIMEOUT), Constants.MIN_CONFIG_LONG_POLL_TIMEOUT);
    taskPenaltyTime = ConvertUtils
            .toInt(properties.getProperty(PropertyKeyConst.CONFIG_RETRY_TIME), Constants.CONFIG_RETRY_TIME);
    this.enableRemoteSyncConfig = Boolean
            .parseBoolean(properties.getProperty(PropertyKeyConst.ENABLE_REMOTE_SYNC_CONFIG));
}
/**
 * Check config info.
 */
public void checkConfigInfo() {
    // Dispatch taskes.
    // 获取需要监听的文件数量
    int listenerSize = cacheMap.size();
    // Round up the longingTaskCount.
    // 默认一个 LongPollingRunnable 可以处理监听3k个配置文件的变化,超过3k个才会创建新的 LongPollingRunnable
    int longingTaskCount = (int) Math.ceil(listenerSize / ParamUtil.getPerTaskConfigSize());
    if (longingTaskCount > currentLongingTaskCount) {
        for (int i = (int) currentLongingTaskCount; i < longingTaskCount; i++) {
            // The task list is no order.So it maybe has issues when changing.
            executorService.execute(new LongPollingRunnable(i));
        }
        currentLongingTaskCount = longingTaskCount;
    }
}

LongPollingRunnable 类主要用于检查本地配置,以及长轮询地去服务端获取变更配置的 dataid 和 group,其代码位于 com.alibaba.nacos.client.config.impl.ClientWorker 类,代码如下:

class LongPollingRunnable implements Runnable {
    private final int taskId;
    public LongPollingRunnable(int taskId) {
        this.taskId = taskId;
    }
    @Override
    public void run() {
        List<CacheData> cacheDatas = new ArrayList<CacheData>();
        List<String> inInitializingCacheList = new ArrayList<String>();
        try {
            // check failover config
            // 遍历本地缓存的配置
            for (CacheData cacheData : cacheMap.values()) {
                if (cacheData.getTaskId() == taskId) {
                    cacheDatas.add(cacheData);
                    try {
                        // 检查本地配置
                        checkLocalConfig(cacheData);
                        if (cacheData.isUseLocalConfigInfo()) {
                            cacheData.checkListenerMd5();
                        }
                    } catch (Exception e) {
                        LOGGER.error("get local config info error", e);
                    }
                }
            }
            // check server config
            // 通过长轮询检查服务端配置
            List<String> changedGroupKeys = checkUpdateDataIds(cacheDatas, inInitializingCacheList);
            if (!CollectionUtils.isEmpty(changedGroupKeys)) {
                LOGGER.info("get changedGroupKeys:" + changedGroupKeys);
            }
            for (String groupKey : changedGroupKeys) {
                String[] key = GroupKey.parseKey(groupKey);
                String dataId = key[0];
                String group = key[1];
                String tenant = null;
                if (key.length == 3) {
                    tenant = key[2];
                }
                try {
                    String[] ct = getServerConfig(dataId, group, tenant, 3000L);
                    CacheData cache = cacheMap.get(GroupKey.getKeyTenant(dataId, group, tenant));
                    cache.setContent(ct[0]);
                    if (null != ct[1]) {
                        cache.setType(ct[1]);
                    }
                    LOGGER.info("[{}] [data-received] dataId={}, group={}, tenant={}, md5={}, content={}, type={}",
                            agent.getName(), dataId, group, tenant, cache.getMd5(),
                            ContentUtils.truncateContent(ct[0]), ct[1]);
                } catch (NacosException ioe) {
                    String message = String
                            .format("[%s] [get-update] get changed config exception. dataId=%s, group=%s, tenant=%s",
                                    agent.getName(), dataId, group, tenant);
                    LOGGER.error(message, ioe);
                }
            }
            for (CacheData cacheData : cacheDatas) {
                if (!cacheData.isInitializing() || inInitializingCacheList
                        .contains(GroupKey.getKeyTenant(cacheData.dataId, cacheData.group, cacheData.tenant))) {
                    cacheData.checkListenerMd5();
                    cacheData.setInitializing(false);
                }
            }
            inInitializingCacheList.clear();
            executorService.execute(this);
        } catch (Throwable e) {
            // If the rotation training task is abnormal, the next execution time of the task will be punished
            LOGGER.error("longPolling error : ", e);
            executorService.schedule(this, taskPenaltyTime, TimeUnit.MILLISECONDS);
        }
    }
}

上面有个 checkUpdateDataIds 方法,用于获取发生变更了的配置文件的dataId列表,它同样位于 ClientWorker 内。

如下:

/**
 * Fetch the dataId list from server.
 *
 * @param cacheDatas              CacheDatas for config infomations.
 * @param inInitializingCacheList initial cache lists.
 * @return String include dataId and group (ps: it maybe null).
 * @throws Exception Exception.
 */
List<String> checkUpdateDataIds(List<CacheData> cacheDatas, List<String> inInitializingCacheList) throws Exception {
    // 拼接出配置文件的唯一标识
    StringBuilder sb = new StringBuilder();
    for (CacheData cacheData : cacheDatas) {
        if (!cacheData.isUseLocalConfigInfo()) {
            sb.append(cacheData.dataId).append(WORD_SEPARATOR);
            sb.append(cacheData.group).append(WORD_SEPARATOR);
            if (StringUtils.isBlank(cacheData.tenant)) {
                sb.append(cacheData.getMd5()).append(LINE_SEPARATOR);
            } else {
                sb.append(cacheData.getMd5()).append(WORD_SEPARATOR);
                sb.append(cacheData.getTenant()).append(LINE_SEPARATOR);
            }
            if (cacheData.isInitializing()) {
                // It updates when cacheData occours in cacheMap by first time.
                inInitializingCacheList
                        .add(GroupKey.getKeyTenant(cacheData.dataId, cacheData.group, cacheData.tenant));
            }
        }
    }
    boolean isInitializingCacheList = !inInitializingCacheList.isEmpty();
    return checkUpdateConfigStr(sb.toString(), isInitializingCacheList);
}
/**
 * Fetch the updated dataId list from server.
 *
 * @param probeUpdateString       updated attribute string value.
 * @param isInitializingCacheList initial cache lists.
 * @return The updated dataId list(ps: it maybe null).
 * @throws IOException Exception.
 */
List<String> checkUpdateConfigStr(String probeUpdateString, boolean isInitializingCacheList) throws Exception {
    Map<String, String> params = new HashMap<String, String>(2);
    params.put(Constants.PROBE_MODIFY_REQUEST, probeUpdateString);
    Map<String, String> headers = new HashMap<String, String>(2);
    // 长轮询的超时时间
    headers.put("Long-Pulling-Timeout", "" + timeout);
    // told server do not hang me up if new initializing cacheData added in
    if (isInitializingCacheList) {
        headers.put("Long-Pulling-Timeout-No-Hangup", "true");
    }
    if (StringUtils.isBlank(probeUpdateString)) {
        return Collections.emptyList();
    }
    try {
        // In order to prevent the server from handling the delay of the client's long task,
        // increase the client's read timeout to avoid this problem.
        long readTimeoutMs = timeout + (long) Math.round(timeout >> 1);
        // 向服务端发起一个http请求,该请求在服务端配置没有变更的情况下默认会hang住30s
        HttpRestResult<String> result = agent
                .httpPost(Constants.CONFIG_CONTROLLER_PATH + "/listener", headers, params, agent.getEncode(),
                        readTimeoutMs);
        if (result.ok()) {
            setHealthServer(true);
            // 响应状态是成功则解析响应体得到 dataId、group、tenant 等信息并返回
            return parseUpdateDataIdResponse(result.getData());
        } else {
            setHealthServer(false);
            LOGGER.error("[{}] [check-update] get changed dataId error, code: {}", agent.getName(),
                    result.getCode());
        }
    } catch (Exception e) {
        setHealthServer(false);
        LOGGER.error("[" + agent.getName() + "] [check-update] get changed dataId exception", e);
        throw e;
    }
    return Collections.emptyList();
}

客户端对 listener 接口的请求会进入到服务端的com.alibaba.nacos.config.server.controller.ConfigController#listener 方法进行处理,该方法主要是调用了 com.alibaba.nacos.config.server.controller.ConfigServletInner#doPollingConfig 方法。

代码如下:

/**
 * 轮询接口
 */
public String doPollingConfig(HttpServletRequest request, HttpServletResponse response,
                              Map<String, String> clientMd5Map, int probeRequestSize)
    throws IOException, ServletException {
    // 如果支持长轮询则进入长轮询的流程
    if (LongPollingService.isSupportLongPolling(request)) {
        longPollingService.addLongPollingClient(request, response, clientMd5Map, probeRequestSize);
        return HttpServletResponse.SC_OK + "";
    }
    // else 兼容短轮询逻辑
    List<String> changedGroups = MD5Util.compareMd5(request, response, clientMd5Map);
    // 兼容短轮询result
    String oldResult = MD5Util.compareMd5OldResult(changedGroups);
    String newResult = MD5Util.compareMd5ResultString(changedGroups);
    String version = request.getHeader(Constants.CLIENT_VERSION_HEADER);
    if (version == null) {
        version = "2.0.0";
    }
    int versionNum = Protocol.getVersionNumber(version);
    /**
     * 2.0.4版本以前, 返回值放入header中
     */
    if (versionNum < START_LONGPOLLING_VERSION_NUM) {
        response.addHeader(Constants.PROBE_MODIFY_RESPONSE, oldResult);
        response.addHeader(Constants.PROBE_MODIFY_RESPONSE_NEW, newResult);
    } else {
        request.setAttribute("content", newResult);
    }
    // 禁用缓存
    response.setHeader("Pragma", "no-cache");
    response.setDateHeader("Expires", 0);
    response.setHeader("Cache-Control", "no-cache,no-store");
    response.setStatus(HttpServletResponse.SC_OK);
    return HttpServletResponse.SC_OK + "";
}

我们主要关注上面的 com.alibaba.nacos.config.server.service.LongPollingService#addLongPollingClient 长轮询流程的方法。

长轮询流程方法

代码如下:

public void addLongPollingClient(HttpServletRequest req, HttpServletResponse rsp, Map<String, String> clientMd5Map,
                                 int probeRequestSize) {
    String str = req.getHeader(LongPollingService.LONG_POLLING_HEADER);
    String noHangUpFlag = req.getHeader(LongPollingService.LONG_POLLING_NO_HANG_UP_HEADER);
    String appName = req.getHeader(RequestUtil.CLIENT_APPNAME_HEADER);
    String tag = req.getHeader("Vipserver-Tag");
    int delayTime = SwitchService.getSwitchInteger(SwitchService.FIXED_DELAY_TIME, 500);
    /**
     * 提前500ms返回响应,为避免客户端超时 @qiaoyi.dingqy 2013.10.22改动  add delay time for LoadBalance
     */
    long timeout = Math.max(10000, Long.parseLong(str) - delayTime);
    if (isFixedPolling()) {
        timeout = Math.max(10000, getFixedPollingInterval());
        // do nothing but set fix polling timeout
    } else {
        long start = System.currentTimeMillis();
        List<String> changedGroups = MD5Util.compareMd5(req, rsp, clientMd5Map);
        if (changedGroups.size() > 0) {
            generateResponse(req, rsp, changedGroups);
            LogUtil.clientLog.info("{}|{}|{}|{}|{}|{}|{}",
                System.currentTimeMillis() - start, "instant", RequestUtil.getRemoteIp(req), "polling",
                clientMd5Map.size(), probeRequestSize, changedGroups.size());
            return;
        } else if (noHangUpFlag != null && noHangUpFlag.equalsIgnoreCase(TRUE_STR)) {
            LogUtil.clientLog.info("{}|{}|{}|{}|{}|{}|{}", System.currentTimeMillis() - start, "nohangup",
                RequestUtil.getRemoteIp(req), "polling", clientMd5Map.size(), probeRequestSize,
                changedGroups.size());
            return;
        }
    }
    String ip = RequestUtil.getRemoteIp(req);
    // 一定要由HTTP线程调用,否则离开后容器会立即发送响应
    final AsyncContext asyncContext = req.startAsync();
    // AsyncContext.setTimeout()的超时时间不准,所以只能自己控制
    asyncContext.setTimeout(0L);
	// 在 ClientLongPolling 的 run 方法会将 ClientLongPolling 实例(携带了本次请求的相关信息)放入 allSubs 中,然后会在29.5s后再执行另一个 Runnable,该 Runnable 用于等待29.5s后依旧没有相应的配置变更时对客户端进行响应,并将相应的 ClientLongPolling 实例从 allSubs 中移出
    scheduler.execute(
        new ClientLongPolling(asyncContext, clientMd5Map, ip, probeRequestSize, timeout, appName, tag));
}

LongPollingService 实现了 AbstractEventListener,也就是说能接收事件通知,在其 com.alibaba.nacos.config.server.service.LongPollingService#onEvent 方法中可以看到,它关注的是 LocalDataChangeEvent 事件:

@Override
public void onEvent(Event event) {
    if (isFixedPolling()) {
        // ignore
    } else {
        if (event instanceof LocalDataChangeEvent) {
            LocalDataChangeEvent evt = (LocalDataChangeEvent)event;
            scheduler.execute(new DataChangeTask(evt.groupKey, evt.isBeta, evt.betaIps));
        }
    }
}

在nacos上修改配置后就会产生 LocalDataChangeEvent 事件,此时 LongPollingService 也就能监听到,当收到该事件时就会遍历 allSubs,找到匹配的请求并将 groupKey 返回给客户端。

具体代码在 DataChangeTask 中:

class DataChangeTask implements Runnable {
    @Override
    public void run() {
        try {
            ConfigService.getContentBetaMd5(groupKey);
            for (Iterator<ClientLongPolling> iter = allSubs.iterator(); iter.hasNext(); ) {
                ClientLongPolling clientSub = iter.next();
                if (clientSub.clientMd5Map.containsKey(groupKey)) {
                    // 如果beta发布且不在beta列表直接跳过
                    if (isBeta && !betaIps.contains(clientSub.ip)) {
                        continue;
                    }
                    // 如果tag发布且不在tag列表直接跳过
                    if (StringUtils.isNotBlank(tag) && !tag.equals(clientSub.tag)) {
                        continue;
                    }
                    getRetainIps().put(clientSub.ip, System.currentTimeMillis());
                    iter.remove(); // 删除订阅关系
                    LogUtil.clientLog.info("{}|{}|{}|{}|{}|{}|{}",
                        (System.currentTimeMillis() - changeTime),
                        "in-advance",
                        RequestUtil.getRemoteIp((HttpServletRequest)clientSub.asyncContext.getRequest()),
                        "polling",
                        clientSub.clientMd5Map.size(), clientSub.probeRequestSize, groupKey);
                    clientSub.sendResponse(Arrays.asList(groupKey));
                }
            }
        } catch (Throwable t) {
            LogUtil.defaultLog.error("data change error:" + t.getMessage(), t.getCause());
        }
    }
    DataChangeTask(String groupKey) {
        this(groupKey, false, null);
    }
    DataChangeTask(String groupKey, boolean isBeta, List<String> betaIps) {
        this(groupKey, isBeta, betaIps, null);
    }
    DataChangeTask(String groupKey, boolean isBeta, List<String> betaIps, String tag) {
        this.groupKey = groupKey;
        this.isBeta = isBeta;
        this.betaIps = betaIps;
        this.tag = tag;
    }
    final String groupKey;
    final long changeTime = System.currentTimeMillis();
    final boolean isBeta;
    final List<String> betaIps;
    final String tag;
}

当客户端收到变更的dataid+group后,就会去服务端获取最新的配置数据,并更新本地数据 cacheData,然后发送数据变更事件,整个流程结束。

最后附上一张流程与源码的对应图:

以上就是Spring Cloud集成Nacos Config动态刷新源码剖析的详细内容,更多关于Spring Cloud集成Nacos Config的资料请关注脚本之家其它相关文章!

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