RocketMQ(六):nameserver与消息存储定位实现

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2021-02-02 08:28

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在rocketmq中,nameserver充当了一个配置管理者的角色,看起来好似不太重要。然而它是一个不或缺的角色,没有了它的存在,各个broker就是一盘散沙,各自为战。

所以,实际上,在rocketmq中,nameserver也是一个领导者的角色。它可以决定哪个消息存储到哪里,哪个broker干活或者上下线,在出现异常情况时,它要能够及时处理。以便让整个团队发挥应有的作用。nameserver相当于一个分布式系统的协调者。但是这个名字,是不是看起来很熟悉?请看后续!

1:为什么会有nameserver?

如文章开头所说,nameserver担任的,差不多是一个系统协调者这么个角色。那么,我们知道,在分布式协调工作方面,有很多现成的组件可用。比如 zookeeper, 那么为什么还要自己搞一套nameserver出来?是为了刷存在感?

对于为什么不选择zk之类的组件实现协调者角色,初衷如何我们不得而知。但至少有几个可知答案可以做下支撑:(以zk为例)

    1. zk存在大量的集群间通信;
    2. zk是一个比较重的组件,而本身就作为消息中间的mq,则最好不好另外再依赖其他组件;(个人感觉)
    3. zk对于数据的固化能力比较弱,配置往往受限于zk的数据格式;

总体来说,可能就是rocketmq想要做的功能在zk上不太好做,或者做起来也费劲,或者太重,索性就不要搞了。自己搞一个完全定制化的好了。事实上,rocketmq的nameserver也实现得相当简单轻量。这也是设计者的初衷吧。

2. nameserver的启动流程解析

一般地,一个框架级别的服务启动,还是有些复杂的,那样的话,我们懒得去看其具体过程。但前面说了,nameserver实现得非常轻量级,所以,其启动也就相当简单。所以,我们可以快速一览其过程。  整个nameserver的启动类是 org.apache.rocketmq.namesrv.NamesrvStartup, 工作过程大致如下:

// 入口main    public static void main(String[] args) {        main0(args);    }
public static NamesrvController main0(String[] args) { try { // 创建本服务的核心控制器, 解析各种配置参数,默认值之类的 NamesrvController controller = createNamesrvController(args); // 开启服务, 如打开 start(controller); String tip = "The Name Server boot success. serializeType=" + RemotingCommand.getSerializeTypeConfigInThisServer(); log.info(tip); System.out.printf("%s%n", tip); return controller; } catch (Throwable e) { e.printStackTrace(); System.exit(-1); }
return null; }

所以整个启动过程,基本就是一个 Controller 搞定了,你说不简单吗?额,也许不一定!整个创建 Controller 的过程就是解析参数的过程,有兴趣可以打开如下代码看看:

 public static NamesrvController createNamesrvController(String[] args) throws IOException, JoranException {        System.setProperty(RemotingCommand.REMOTING_VERSION_KEY, Integer.toString(MQVersion.CURRENT_VERSION));        //PackageConflictDetect.detectFastjson();
Options options = ServerUtil.buildCommandlineOptions(new Options()); commandLine = ServerUtil.parseCmdLine("mqnamesrv", args, buildCommandlineOptions(options), new PosixParser()); if (null == commandLine) { System.exit(-1); return null; }
final NamesrvConfig namesrvConfig = new NamesrvConfig(); final NettyServerConfig nettyServerConfig = new NettyServerConfig(); nettyServerConfig.setListenPort(9876); // -c xx.properties 用于指定配置文件,优先级较低 if (commandLine.hasOption('c')) { String file = commandLine.getOptionValue('c'); if (file != null) { InputStream in = new BufferedInputStream(new FileInputStream(file)); properties = new Properties(); properties.load(in); MixAll.properties2Object(properties, namesrvConfig); MixAll.properties2Object(properties, nettyServerConfig);
namesrvConfig.setConfigStorePath(file);
System.out.printf("load config properties file OK, %s%n", file); in.close(); } } // -p 仅为打印查看启动参数 if (commandLine.hasOption('p')) { InternalLogger console = InternalLoggerFactory.getLogger(LoggerName.NAMESRV_CONSOLE_NAME); MixAll.printObjectProperties(console, namesrvConfig); MixAll.printObjectProperties(console, nettyServerConfig); System.exit(0); }
MixAll.properties2Object(ServerUtil.commandLine2Properties(commandLine), namesrvConfig);
if (null == namesrvConfig.getRocketmqHome()) { System.out.printf("Please set the %s variable in your environment to match the location of the RocketMQ installation%n", MixAll.ROCKETMQ_HOME_ENV); System.exit(-2); }
LoggerContext lc = (LoggerContext) LoggerFactory.getILoggerFactory(); JoranConfigurator configurator = new JoranConfigurator(); configurator.setContext(lc); lc.reset(); configurator.doConfigure(namesrvConfig.getRocketmqHome() + "/conf/logback_namesrv.xml");
log = InternalLoggerFactory.getLogger(LoggerName.NAMESRV_LOGGER_NAME);
MixAll.printObjectProperties(log, namesrvConfig); MixAll.printObjectProperties(log, nettyServerConfig); // 将配置参数传入controller构造实例 final NamesrvController controller = new NamesrvController(namesrvConfig, nettyServerConfig);
// remember all configs to prevent discard controller.getConfiguration().registerConfig(properties);
return controller; } // Controller 构造方法 // org.apache.rocketmq.namesrv.NamesrvController#NamesrvController public NamesrvController(NamesrvConfig namesrvConfig, NettyServerConfig nettyServerConfig) { this.namesrvConfig = namesrvConfig; this.nettyServerConfig = nettyServerConfig; this.kvConfigManager = new KVConfigManager(this); this.routeInfoManager = new RouteInfoManager(); this.brokerHousekeepingService = new BrokerHousekeepingService(this); this.configuration = new Configuration( log, this.namesrvConfig, this.nettyServerConfig ); this.configuration.setStorePathFromConfig(this.namesrvConfig, "configStorePath"); } // org.apache.rocketmq.common.Configuration#registerConfig /** * register config properties * * @return the current Configuration object */ public Configuration registerConfig(Properties extProperties) { if (extProperties == null) { return this; }
try { readWriteLock.writeLock().lockInterruptibly();
try { merge(extProperties, this.allConfigs); } finally { readWriteLock.writeLock().unlock(); } } catch (InterruptedException e) { log.error("register lock error. {}" + extProperties); }
return this; }

接下来,我们主要来看看这start()过程到底如何,复杂性必然都在这里了。

 // org.apache.rocketmq.namesrv.NamesrvStartup#start    public static NamesrvController start(final NamesrvController controller) throws Exception {
if (null == controller) { throw new IllegalArgumentException("NamesrvController is null"); } // 初始化controller各环境,如果失败,则退出启动 boolean initResult = controller.initialize(); if (!initResult) { controller.shutdown(); System.exit(-3); } // 注册一个关闭钩子 Runtime.getRuntime().addShutdownHook(new ShutdownHookThread(log, new Callable() { @Override public Void call() throws Exception { controller.shutdown(); return null; } })); // 核心start()方法 controller.start();
return controller; } // org.apache.rocketmq.namesrv.NamesrvController#initialize public boolean initialize() {
this.kvConfigManager.load();
this.remotingServer = new NettyRemotingServer(this.nettyServerConfig, this.brokerHousekeepingService);
this.remotingExecutor = Executors.newFixedThreadPool(nettyServerConfig.getServerWorkerThreads(), new ThreadFactoryImpl("RemotingExecutorThread_")); // 注册处理器 this.registerProcessor(); // 启动后台扫描线程,扫描掉线的broker this.scheduledExecutorService.scheduleAtFixedRate(new Runnable() {
@Override public void run() { NamesrvController.this.routeInfoManager.scanNotActiveBroker(); } }, 5, 10, TimeUnit.SECONDS); // 打印日志定时任务 this.scheduledExecutorService.scheduleAtFixedRate(new Runnable() {
@Override public void run() { NamesrvController.this.kvConfigManager.printAllPeriodically(); } }, 1, 10, TimeUnit.MINUTES);
if (TlsSystemConfig.tlsMode != TlsMode.DISABLED) { // Register a listener to reload SslContext try { fileWatchService = new FileWatchService( new String[] { TlsSystemConfig.tlsServerCertPath, TlsSystemConfig.tlsServerKeyPath, TlsSystemConfig.tlsServerTrustCertPath }, new FileWatchService.Listener() { boolean certChanged, keyChanged = false; @Override public void onChanged(String path) { if (path.equals(TlsSystemConfig.tlsServerTrustCertPath)) { log.info("The trust certificate changed, reload the ssl context"); reloadServerSslContext(); } if (path.equals(TlsSystemConfig.tlsServerCertPath)) { certChanged = true; } if (path.equals(TlsSystemConfig.tlsServerKeyPath)) { keyChanged = true; } if (certChanged && keyChanged) { log.info("The certificate and private key changed, reload the ssl context"); certChanged = keyChanged = false; reloadServerSslContext(); } } private void reloadServerSslContext() { ((NettyRemotingServer) remotingServer).loadSslContext(); } }); } catch (Exception e) { log.warn("FileWatchService created error, can't load the certificate dynamically"); } } // no false return true; } private void registerProcessor() { if (namesrvConfig.isClusterTest()) {
this.remotingServer.registerDefaultProcessor(new ClusterTestRequestProcessor(this, namesrvConfig.getProductEnvName()), this.remotingExecutor); } else { // 只会有一个处理器处理业务 this.remotingServer.registerDefaultProcessor(new DefaultRequestProcessor(this), this.remotingExecutor); } }
// 初始化完成后,接下来是 start() 方法 // org.apache.rocketmq.namesrv.NamesrvController#start public void start() throws Exception { // 开启后台端口服务,nameserver可连接 this.remotingServer.start(); // 文件检测线程 if (this.fileWatchService != null) { this.fileWatchService.start(); } }

可见,controller的启动过程也非常简单,就是设置好各初始实例,开几个后台定时任务,注册处理器,然后将tcp端口打开,即可。其中端口服务是使用netty作为通信组件,其操作完全遵从netty编程范式。可自行查阅。

@Override    public void start() {        this.defaultEventExecutorGroup = new DefaultEventExecutorGroup(            nettyServerConfig.getServerWorkerThreads(),            new ThreadFactory() {
private AtomicInteger threadIndex = new AtomicInteger(0);
@Override public Thread newThread(Runnable r) { return new Thread(r, "NettyServerCodecThread_" + this.threadIndex.incrementAndGet()); } });
prepareSharableHandlers();
ServerBootstrap childHandler = this.serverBootstrap.group(this.eventLoopGroupBoss, this.eventLoopGroupSelector) .channel(useEpoll() ? EpollServerSocketChannel.class : NioServerSocketChannel.class) .option(ChannelOption.SO_BACKLOG, 1024) .option(ChannelOption.SO_REUSEADDR, true) .option(ChannelOption.SO_KEEPALIVE, false) .childOption(ChannelOption.TCP_NODELAY, true) .childOption(ChannelOption.SO_SNDBUF, nettyServerConfig.getServerSocketSndBufSize()) .childOption(ChannelOption.SO_RCVBUF, nettyServerConfig.getServerSocketRcvBufSize()) .localAddress(new InetSocketAddress(this.nettyServerConfig.getListenPort())) .childHandler(new ChannelInitializer() { @Override public void initChannel(SocketChannel ch) throws Exception { ch.pipeline() .addLast(defaultEventExecutorGroup, HANDSHAKE_HANDLER_NAME, handshakeHandler) .addLast(defaultEventExecutorGroup, encoder, new NettyDecoder(), new IdleStateHandler(0, 0, nettyServerConfig.getServerChannelMaxIdleTimeSeconds()), connectionManageHandler, serverHandler ); } });
if (nettyServerConfig.isServerPooledByteBufAllocatorEnable()) { childHandler.childOption(ChannelOption.ALLOCATOR, PooledByteBufAllocator.DEFAULT); }
try { ChannelFuture sync = this.serverBootstrap.bind().sync(); InetSocketAddress addr = (InetSocketAddress) sync.channel().localAddress(); this.port = addr.getPort(); } catch (InterruptedException e1) { throw new RuntimeException("this.serverBootstrap.bind().sync() InterruptedException", e1); }
if (this.channelEventListener != null) { this.nettyEventExecutor.start(); }
this.timer.scheduleAtFixedRate(new TimerTask() {
@Override public void run() { try { NettyRemotingServer.this.scanResponseTable(); } catch (Throwable e) { log.error("scanResponseTable exception", e); } } }, 1000 * 3, 1000); }

至此,nameserver的启动流程就完成了,果然是轻量级。至于其提供什么样的服务,我们下一节再讲。

3. nameserver 业务处理框架

因nameserver和broker一样,都共用了remoting模块的代码,即都依赖于netty的handler处理机制。所以其处理器入口都是一样的。反正最终都是找到对应的processor, 然后处理业务即可。此处,nameserver只会提供一个默认的处理器,即DefaultRequestProcessor。所以,只需了解其processRequest()即可知nameserver的整体能力了。

// org.apache.rocketmq.namesrv.processor.DefaultRequestProcessor#processRequest    @Override    public RemotingCommand processRequest(ChannelHandlerContext ctx,        RemotingCommand request) throws RemotingCommandException {
if (ctx != null) { log.debug("receive request, {} {} {}", request.getCode(), RemotingHelper.parseChannelRemoteAddr(ctx.channel()), request); }
switch (request.getCode()) { case RequestCode.PUT_KV_CONFIG: return this.putKVConfig(ctx, request); case RequestCode.GET_KV_CONFIG: return this.getKVConfig(ctx, request); case RequestCode.DELETE_KV_CONFIG: return this.deleteKVConfig(ctx, request); case RequestCode.QUERY_DATA_VERSION: return queryBrokerTopicConfig(ctx, request); // 注册broker信息,这种操作一般是在broker启动的时候进行请求 case RequestCode.REGISTER_BROKER: Version brokerVersion = MQVersion.value2Version(request.getVersion()); if (brokerVersion.ordinal() >= MQVersion.Version.V3_0_11.ordinal()) { return this.registerBrokerWithFilterServer(ctx, request); } else { return this.registerBroker(ctx, request); } // 下线broker case RequestCode.UNREGISTER_BROKER: return this.unregisterBroker(ctx, request); // 获取路由信息,即哪个topic存在于哪些broker上,哪些messageQueue在哪里等 case RequestCode.GET_ROUTEINFO_BY_TOPIC: return this.getRouteInfoByTopic(ctx, request); case RequestCode.GET_BROKER_CLUSTER_INFO: return this.getBrokerClusterInfo(ctx, request); case RequestCode.WIPE_WRITE_PERM_OF_BROKER: return this.wipeWritePermOfBroker(ctx, request); case RequestCode.GET_ALL_TOPIC_LIST_FROM_NAMESERVER: return getAllTopicListFromNameserver(ctx, request); case RequestCode.DELETE_TOPIC_IN_NAMESRV: return deleteTopicInNamesrv(ctx, request); case RequestCode.GET_KVLIST_BY_NAMESPACE: return this.getKVListByNamespace(ctx, request); case RequestCode.GET_TOPICS_BY_CLUSTER: return this.getTopicsByCluster(ctx, request); case RequestCode.GET_SYSTEM_TOPIC_LIST_FROM_NS: return this.getSystemTopicListFromNs(ctx, request); case RequestCode.GET_UNIT_TOPIC_LIST: return this.getUnitTopicList(ctx, request); case RequestCode.GET_HAS_UNIT_SUB_TOPIC_LIST: return this.getHasUnitSubTopicList(ctx, request); case RequestCode.GET_HAS_UNIT_SUB_UNUNIT_TOPIC_LIST: return this.getHasUnitSubUnUnitTopicList(ctx, request); case RequestCode.UPDATE_NAMESRV_CONFIG: return this.updateConfig(ctx, request); case RequestCode.GET_NAMESRV_CONFIG: return this.getConfig(ctx, request); default: break; } return null; }


以上就是整个nameserver提供的服务列表了,也没啥注释,见字如悟吧,我们也不想过多纠缠。但总体上,其处理的业务类型并不多,主要有三类:

    1. 配置信息kv的操作;
    2. broker上下线管理操作;
    3. topic路由信息管理服务;

各自实现当然是按照业务处理,本无需多说,但为了解概要,我们还是挑一个重点来说说吧:broker的上线处理注册:

// 为保持前沿起见,咱们以高版本服务展开思路(即版本大于3.0.11)    public RemotingCommand registerBrokerWithFilterServer(ChannelHandlerContext ctx, RemotingCommand request)        throws RemotingCommandException {        final RemotingCommand response = RemotingCommand.createResponseCommand(RegisterBrokerResponseHeader.class);        final RegisterBrokerResponseHeader responseHeader = (RegisterBrokerResponseHeader) response.readCustomHeader();        final RegisterBrokerRequestHeader requestHeader =            (RegisterBrokerRequestHeader) request.decodeCommandCustomHeader(RegisterBrokerRequestHeader.class);
if (!checksum(ctx, request, requestHeader)) { response.setCode(ResponseCode.SYSTEM_ERROR); response.setRemark("crc32 not match"); return response; }
RegisterBrokerBody registerBrokerBody = new RegisterBrokerBody();
if (request.getBody() != null) { try { registerBrokerBody = RegisterBrokerBody.decode(request.getBody(), requestHeader.isCompressed()); } catch (Exception e) { throw new RemotingCommandException("Failed to decode RegisterBrokerBody", e); } } else { registerBrokerBody.getTopicConfigSerializeWrapper().getDataVersion().setCounter(new AtomicLong(0)); registerBrokerBody.getTopicConfigSerializeWrapper().getDataVersion().setTimestamp(0); } // 重点实现: registerBroker RegisterBrokerResult result = this.namesrvController.getRouteInfoManager().registerBroker( requestHeader.getClusterName(), requestHeader.getBrokerAddr(), requestHeader.getBrokerName(), requestHeader.getBrokerId(), requestHeader.getHaServerAddr(), registerBrokerBody.getTopicConfigSerializeWrapper(), registerBrokerBody.getFilterServerList(), ctx.channel());
responseHeader.setHaServerAddr(result.getHaServerAddr()); responseHeader.setMasterAddr(result.getMasterAddr());
byte[] jsonValue = this.namesrvController.getKvConfigManager().getKVListByNamespace(NamesrvUtil.NAMESPACE_ORDER_TOPIC_CONFIG); response.setBody(jsonValue);
response.setCode(ResponseCode.SUCCESS); response.setRemark(null); return response; } // org.apache.rocketmq.namesrv.routeinfo.RouteInfoManager#registerBroker public RegisterBrokerResult registerBroker( final String clusterName, final String brokerAddr, final String brokerName, final long brokerId, final String haServerAddr, final TopicConfigSerializeWrapper topicConfigWrapper, final List filterServerList, final Channel channel) { RegisterBrokerResult result = new RegisterBrokerResult(); try { try { // 上锁更新各表数据 this.lock.writeLock().lockInterruptibly(); // 集群名表 Set brokerNames = this.clusterAddrTable.get(clusterName); if (null == brokerNames) { brokerNames = new HashSet(); this.clusterAddrTable.put(clusterName, brokerNames); } brokerNames.add(brokerName);
boolean registerFirst = false; // broker详细信息表 BrokerData brokerData = this.brokerAddrTable.get(brokerName); if (null == brokerData) { registerFirst = true; brokerData = new BrokerData(clusterName, brokerName, new HashMap()); this.brokerAddrTable.put(brokerName, brokerData); } Map brokerAddrsMap = brokerData.getBrokerAddrs(); //Switch slave to master: first remove <1, IP:PORT> in namesrv, then add <0, IP:PORT> //The same IP:PORT must only have one record in brokerAddrTable Iterator> it = brokerAddrsMap.entrySet().iterator(); while (it.hasNext()) { Entry item = it.next(); if (null != brokerAddr && brokerAddr.equals(item.getValue()) && brokerId != item.getKey()) { it.remove(); } }
String oldAddr = brokerData.getBrokerAddrs().put(brokerId, brokerAddr); registerFirst = registerFirst || (null == oldAddr);
if (null != topicConfigWrapper && MixAll.MASTER_ID == brokerId) { if (this.isBrokerTopicConfigChanged(brokerAddr, topicConfigWrapper.getDataVersion()) || registerFirst) { // 首次注册或者topic变更,则更新topic信息 ConcurrentMap tcTable = topicConfigWrapper.getTopicConfigTable(); if (tcTable != null) { for (Map.Entry entry : tcTable.entrySet()) { this.createAndUpdateQueueData(brokerName, entry.getValue()); } } } } // 存活的broker信息表 BrokerLiveInfo prevBrokerLiveInfo = this.brokerLiveTable.put(brokerAddr, new BrokerLiveInfo( System.currentTimeMillis(), topicConfigWrapper.getDataVersion(), channel, haServerAddr)); if (null == prevBrokerLiveInfo) { log.info("new broker registered, {} HAServer: {}", brokerAddr, haServerAddr); }
if (filterServerList != null) { if (filterServerList.isEmpty()) { this.filterServerTable.remove(brokerAddr); } else { this.filterServerTable.put(brokerAddr, filterServerList); } } // slave节点注册需绑定masterAddr 返回 if (MixAll.MASTER_ID != brokerId) { String masterAddr = brokerData.getBrokerAddrs().get(MixAll.MASTER_ID); if (masterAddr != null) { BrokerLiveInfo brokerLiveInfo = this.brokerLiveTable.get(masterAddr); if (brokerLiveInfo != null) { result.setHaServerAddr(brokerLiveInfo.getHaServerAddr()); result.setMasterAddr(masterAddr); } } } } finally { this.lock.writeLock().unlock(); } } catch (Exception e) { log.error("registerBroker Exception", e); }
return result; }

好吧,是不是很抽象。没关系,能知道大概意思就行了。大体上就是broker上线了,nameserver需要知道这些事,要把这信息加入到各表项中,以备将来使用。具体理解我们应该要从业务性质出发才能透彻。反正就和咱们平时写业务代码并无二致。

4. topic存储位置策略

nameserver除了有注册broker的核心作用外,还有一个非常核心的作用就是,为各消费者或生产者提供各topic信息所在位置。这个位置决定了数据如何存储以及如何访问问题,只要这个决策出问题,则整个集群的可靠性就无法保证了。所以,这个点需要我们深入理解下。

在kafka中,其存储策略是和shard强相关的,一个topic分配了多少shard就决定了它可以存储到几个机器节点上,即kafka是以shard作为粒度分配存储的。

但rocketmq中则不太一样,类似的概念有:topic是最外层的存储,而messageQueue则是内一层的存储,它是否是按照topic存储或者按照msgQueue存在呢?实际上,在官方文档中,已经描述清楚了:Broker 在实际部署过程中对应一台服务器,每个 Broker 可以存储多个Topic的消息,每个Topic的消息也可以分片存储于不同的 Broker。Message Queue 用于存储消息的物理地址,每个Topic中的消息地址存储于多个 Message Queue 中。

即rocketmq中是以message queue作为最细粒度的存储的,实际上这基本无悬念,因为分布式存储需要。(试想以topic为存储粒度会带来多少问题就知道了)

那么,它又是如何划分哪个message queue存储在哪里的呢?

 // RequestCode.GET_ROUTEINFO_BY_TOPIC    public RemotingCommand getRouteInfoByTopic(ChannelHandlerContext ctx,        RemotingCommand request) throws RemotingCommandException {        final RemotingCommand response = RemotingCommand.createResponseCommand(null);        final GetRouteInfoRequestHeader requestHeader =            (GetRouteInfoRequestHeader) request.decodeCommandCustomHeader(GetRouteInfoRequestHeader.class);        // 获取topic路由信息        TopicRouteData topicRouteData = this.namesrvController.getRouteInfoManager().pickupTopicRouteData(requestHeader.getTopic());
if (topicRouteData != null) { // 顺序消费配置 if (this.namesrvController.getNamesrvConfig().isOrderMessageEnable()) { String orderTopicConf = this.namesrvController.getKvConfigManager().getKVConfig(NamesrvUtil.NAMESPACE_ORDER_TOPIC_CONFIG, requestHeader.getTopic()); topicRouteData.setOrderTopicConf(orderTopicConf); }
byte[] content = topicRouteData.encode(); response.setBody(content); response.setCode(ResponseCode.SUCCESS); response.setRemark(null); return response; }
response.setCode(ResponseCode.TOPIC_NOT_EXIST); response.setRemark("No topic route info in name server for the topic: " + requestHeader.getTopic() + FAQUrl.suggestTodo(FAQUrl.APPLY_TOPIC_URL)); return response; } // org.apache.rocketmq.namesrv.routeinfo.RouteInfoManager#pickupTopicRouteData public TopicRouteData pickupTopicRouteData(final String topic) { TopicRouteData topicRouteData = new TopicRouteData(); boolean foundQueueData = false; boolean foundBrokerData = false; Set brokerNameSet = new HashSet(); List brokerDataList = new LinkedList(); topicRouteData.setBrokerDatas(brokerDataList);
HashMap> filterServerMap = new HashMap>(); topicRouteData.setFilterServerTable(filterServerMap);
try { try { this.lock.readLock().lockInterruptibly(); // 获取所有topic的messageQueue信息 List queueDataList = this.topicQueueTable.get(topic); if (queueDataList != null) { topicRouteData.setQueueDatas(queueDataList); foundQueueData = true;
Iterator it = queueDataList.iterator(); while (it.hasNext()) { QueueData qd = it.next(); brokerNameSet.add(qd.getBrokerName()); } // 根据brokerName, 查找broker信息,如果没找到说明该broker可能已经下线,不能算在路由信息内 for (String brokerName : brokerNameSet) { BrokerData brokerData = this.brokerAddrTable.get(brokerName); if (null != brokerData) { BrokerData brokerDataClone = new BrokerData(brokerData.getCluster(), brokerData.getBrokerName(), (HashMap) brokerData .getBrokerAddrs().clone()); brokerDataList.add(brokerDataClone); // 只要找到一个broker就可以进行路由处理 foundBrokerData = true; for (final String brokerAddr : brokerDataClone.getBrokerAddrs().values()) { List filterServerList = this.filterServerTable.get(brokerAddr); filterServerMap.put(brokerAddr, filterServerList); } } } } } finally { this.lock.readLock().unlock(); } } catch (Exception e) { log.error("pickupTopicRouteData Exception", e); }
log.debug("pickupTopicRouteData {} {}", topic, topicRouteData); // 只有队列信息和broker信息都找到时,整个路由信息才可返回 if (foundBrokerData && foundQueueData) { return topicRouteData; }
return null; } // QueueData 作为路由信息的重要组成部分,其数据结构如下public class QueueData implements Comparable { private String brokerName; private int readQueueNums; private int writeQueueNums; private int perm; private int topicSynFlag; ...} // brokerData 数据结构如下public class BrokerData implements Comparable { private String cluster; private String brokerName; private HashMap brokerAddrs; ...}


ok, 从上面的实现中,我们可以看到,查找路由信息,是根据topic进行查找的。而topic信息保存在 topicQueueTable 中。这里有个重要点是,整个路由查找过程,居然和queueId是无关的,那么它又是如何定位queueId所在的位置呢?另外,这个topicQueTable里的数据又是何时维护的呢?

首先,对于topicQueueTable的维护,是在broker注册和解注册时维护的,这很好理解。

 // 也就前面看到的broker为master节点时的 createAndUpdateQueueData()    private void createAndUpdateQueueData(final String brokerName, final TopicConfig topicConfig) {        QueueData queueData = new QueueData();        queueData.setBrokerName(brokerName);        queueData.setWriteQueueNums(topicConfig.getWriteQueueNums());        queueData.setReadQueueNums(topicConfig.getReadQueueNums());        queueData.setPerm(topicConfig.getPerm());        queueData.setTopicSynFlag(topicConfig.getTopicSysFlag());
List queueDataList = this.topicQueueTable.get(topicConfig.getTopicName()); // topic的首个broker if (null == queueDataList) { queueDataList = new LinkedList(); queueDataList.add(queueData); this.topicQueueTable.put(topicConfig.getTopicName(), queueDataList); log.info("new topic registered, {} {}", topicConfig.getTopicName(), queueData); } else { boolean addNewOne = true;
Iterator it = queueDataList.iterator(); // 添加一个broker while (it.hasNext()) { QueueData qd = it.next(); if (qd.getBrokerName().equals(brokerName)) { if (qd.equals(queueData)) { addNewOne = false; } else { log.info("topic changed, {} OLD: {} NEW: {}", topicConfig.getTopicName(), qd, queueData); it.remove(); } } }
if (addNewOne) { queueDataList.add(queueData); } } }

但针对queueId又是何时进行处理的呢?看起来nameserver不得而知。

事实上,数据发送到哪个broker或从哪个broker上进行数据消费,是由各客户端根据策略决定的。比如在producer中是这样处理的:

// org.apache.rocketmq.client.impl.producer.DefaultMQProducerImpl#sendDefaultImpl    private SendResult sendDefaultImpl(        Message msg,        final CommunicationMode communicationMode,        final SendCallback sendCallback,        final long timeout    ) throws MQClientException, RemotingException, MQBrokerException, InterruptedException {        this.makeSureStateOK();        Validators.checkMessage(msg, this.defaultMQProducer);        final long invokeID = random.nextLong();        long beginTimestampFirst = System.currentTimeMillis();        long beginTimestampPrev = beginTimestampFirst;        long endTimestamp = beginTimestampFirst;        // 此处即是nameserver返回的路由信息,即可用的broker列表        TopicPublishInfo topicPublishInfo = this.tryToFindTopicPublishInfo(msg.getTopic());        if (topicPublishInfo != null && topicPublishInfo.ok()) {            boolean callTimeout = false;            MessageQueue mq = null;            Exception exception = null;            SendResult sendResult = null;            int timesTotal = communicationMode == CommunicationMode.SYNC ? 1 + this.defaultMQProducer.getRetryTimesWhenSendFailed() : 1;            int times = 0;            String[] brokersSent = new String[timesTotal];            for (; times < timesTotal; times++) {                // 首次进入时,只是选择一个队列发送                String lastBrokerName = null == mq ? null : mq.getBrokerName();                MessageQueue mqSelected = this.selectOneMessageQueue(topicPublishInfo, lastBrokerName);                if (mqSelected != null) {                    mq = mqSelected;                    brokersSent[times] = mq.getBrokerName();                    try {                        beginTimestampPrev = System.currentTimeMillis();                        if (times > 0) {                            //Reset topic with namespace during resend.                            msg.setTopic(this.defaultMQProducer.withNamespace(msg.getTopic()));                        }                        long costTime = beginTimestampPrev - beginTimestampFirst;                        if (timeout < costTime) {                            callTimeout = true;                            break;                        }                        // 向选择出来的messageQueue 发送消息数据                        sendResult = this.sendKernelImpl(msg, mq, communicationMode, sendCallback, topicPublishInfo, timeout - costTime);                        endTimestamp = System.currentTimeMillis();                        this.updateFaultItem(mq.getBrokerName(), endTimestamp - beginTimestampPrev, false);                        switch (communicationMode) {                            case ASYNC:                                return null;                            case ONEWAY:                                return null;                            case SYNC:                                if (sendResult.getSendStatus() != SendStatus.SEND_OK) {                                    if (this.defaultMQProducer.isRetryAnotherBrokerWhenNotStoreOK()) {                                        continue;                                    }                                }
return sendResult; default: break; } } catch (RemotingException e) ... } // org.apache.rocketmq.client.impl.producer.DefaultMQProducerImpl#selectOneMessageQueue public MessageQueue selectOneMessageQueue(final TopicPublishInfo tpInfo, final String lastBrokerName) { return this.mqFaultStrategy.selectOneMessageQueue(tpInfo, lastBrokerName); } // org.apache.rocketmq.client.latency.MQFaultStrategy#selectOneMessageQueue public MessageQueue selectOneMessageQueue(final TopicPublishInfo tpInfo, final String lastBrokerName) { // 容错处理,不影响策略理解 if (this.sendLatencyFaultEnable) { try { int index = tpInfo.getSendWhichQueue().getAndIncrement(); for (int i = 0; i < tpInfo.getMessageQueueList().size(); i++) { int pos = Math.abs(index++) % tpInfo.getMessageQueueList().size(); if (pos < 0) pos = 0; MessageQueue mq = tpInfo.getMessageQueueList().get(pos); if (latencyFaultTolerance.isAvailable(mq.getBrokerName())) { if (null == lastBrokerName || mq.getBrokerName().equals(lastBrokerName)) return mq; } }
final String notBestBroker = latencyFaultTolerance.pickOneAtLeast(); int writeQueueNums = tpInfo.getQueueIdByBroker(notBestBroker); if (writeQueueNums > 0) { final MessageQueue mq = tpInfo.selectOneMessageQueue(); if (notBestBroker != null) { mq.setBrokerName(notBestBroker); mq.setQueueId(tpInfo.getSendWhichQueue().getAndIncrement() % writeQueueNums); } return mq; } else { latencyFaultTolerance.remove(notBestBroker); } } catch (Exception e) { log.error("Error occurred when selecting message queue", e); }
return tpInfo.selectOneMessageQueue(); }
return tpInfo.selectOneMessageQueue(lastBrokerName); } // org.apache.rocketmq.client.impl.producer.TopicPublishInfo#selectOneMessageQueue // 直接使用轮询的方式选择一个队列 public MessageQueue selectOneMessageQueue(final String lastBrokerName) { if (lastBrokerName == null) { // 任意选择一个messageQueue作为发送目标 return selectOneMessageQueue(); } else { int index = this.sendWhichQueue.getAndIncrement(); // 最大尝试n次获取不一样的MQueue, 如仍然获取不到,则随便选择一个即可 for (int i = 0; i < this.messageQueueList.size(); i++) { int pos = Math.abs(index++) % this.messageQueueList.size(); if (pos < 0) pos = 0; MessageQueue mq = this.messageQueueList.get(pos); if (!mq.getBrokerName().equals(lastBrokerName)) { return mq; } } return selectOneMessageQueue(); } }

好了,通过上面的描述,我们大概知道了,一个消息要发送往消息server时,首先会根据topic找到所有可用的broker列表(nameserver提供),然后根据一个所谓策略选择一个MessageQueue,最后向这个MessageQueue发送数据即可。所以,这个MessageQueue是非常重要的,我们来看下其数据结构:

// org.apache.rocketmq.common.message.MessageQueuepublic class MessageQueue implements Comparable, Serializable {    private static final long serialVersionUID = 6191200464116433425L;    private String topic;    private String brokerName;    private int queueId;    ...}


这是非常之简洁啊,仅有主要的三个核心:topic(主题),brokerName(broker标识),queueId(队列id)。 

前面提到的客户端策略,会选择一个MessageQueue, 即会得到一个broker标识,对应一个queueId。所以,数据存放在哪个broker,是由客户端决定的,且存放位置未知。也就是说,rocketmq中同一个topic的数据,是散乱存放在一堆broker中的。这和我们通常的认知是有一定差距的。

这样设计有什么好处呢?好处自然是有的,比如假如其中有些broker挂掉了,那么整个集群无需经过什么再均衡策略,同样可以工作得很好,因为客户端可以直接向正常的broker发送消息即可。其他好处。。。

但是我个人觉得这样的设计,也不见得很好,比如你不能够很确定地定位到某条消息在哪个broker上,完全无规律可循。另外,如果想在单queueId上保持一定的规则,则是不可能的(也许有其他曲线救国之法)。另外,对于queueId, 只是一个系统内部的概念,实际上用户并不能指定该值。

5. MessageQueue到底存在哪里?

按照上面说的,一个topic数据可能被存放在n个broker中,且以messageQueue的queueId作为单独存储。那么,到底数据存放在哪里?所说的n个broker到底指哪几个broker?每个broker上到底存放了几个queueId?这些问题如果没有搞清楚,我们就无法说清楚这玩意。

我们先来回答第一个问题,topic数据到底存放在几个broker中?回顾下前面broker的注册过程可知:

// org.apache.rocketmq.namesrv.routeinfo.RouteInfoManager#registerBroker    if (null != topicConfigWrapper        && MixAll.MASTER_ID == brokerId) {        if (this.isBrokerTopicConfigChanged(brokerAddr, topicConfigWrapper.getDataVersion())            || registerFirst) {            // 首次注册或者topic变更,则更新topic信息            ConcurrentMap tcTable =                topicConfigWrapper.getTopicConfigTable();            if (tcTable != null) {                // 遍历所有topic, 将当前新进的broker 加入到处理机器中                for (Map.Entry entry : tcTable.entrySet()) {                    this.createAndUpdateQueueData(brokerName, entry.getValue());                }            }        }    }


看完这段,我们就明白了,原来所谓的n个broker可处理topic信息,实际上指的是所有broker啊!好吧,咱也不懂为啥这么干,反正就是这么干了,topic可能分布在所有broker机器上。至于具体哪一台,你猜啊!

接下来我们看第二个问题,一个broker到底存储了几个queueId的数据?实际上,我们稍微想想前面的实现,broker是指所有的broker,如果所有broker都是一样的配置,那么是不是应该让每个broker都存储所有queueId呢?(尽管没啥依据,还是可以想想的嘛)

rocketmq的各客户端(生产者、消费者)每次向服务器发送生产或消费请求时,都可能向nameserver请求拉取路由信息,但这些信息从我们前面调查的结果来看,并不包含queueId信息。那么,后续又是如何转换为queueId的呢?实际上,就是在拉取了nameserver的路由信息之后,本地再做一次分配就可以了:

// 更新topic路由信息    // org.apache.rocketmq.client.impl.producer.DefaultMQProducerImpl#tryToFindTopicPublishInfo    private TopicPublishInfo tryToFindTopicPublishInfo(final String topic) {        TopicPublishInfo topicPublishInfo = this.topicPublishInfoTable.get(topic);        if (null == topicPublishInfo || !topicPublishInfo.ok()) {            this.topicPublishInfoTable.putIfAbsent(topic, new TopicPublishInfo());            this.mQClientFactory.updateTopicRouteInfoFromNameServer(topic);            topicPublishInfo = this.topicPublishInfoTable.get(topic);        }
if (topicPublishInfo.isHaveTopicRouterInfo() || topicPublishInfo.ok()) { return topicPublishInfo; } else { // 从nameserver拉取路由数据 this.mQClientFactory.updateTopicRouteInfoFromNameServer(topic, true, this.defaultMQProducer); topicPublishInfo = this.topicPublishInfoTable.get(topic); return topicPublishInfo; } } // org.apache.rocketmq.client.impl.factory.MQClientInstance#updateTopicRouteInfoFromNameServer public boolean updateTopicRouteInfoFromNameServer(final String topic, boolean isDefault, DefaultMQProducer defaultMQProducer) { try { if (this.lockNamesrv.tryLock(LOCK_TIMEOUT_MILLIS, TimeUnit.MILLISECONDS)) { try { TopicRouteData topicRouteData; if (isDefault && defaultMQProducer != null) { topicRouteData = this.mQClientAPIImpl.getDefaultTopicRouteInfoFromNameServer(defaultMQProducer.getCreateTopicKey(), 1000 * 3); if (topicRouteData != null) { for (QueueData data : topicRouteData.getQueueDatas()) { int queueNums = Math.min(defaultMQProducer.getDefaultTopicQueueNums(), data.getReadQueueNums()); data.setReadQueueNums(queueNums); data.setWriteQueueNums(queueNums); } } } else { topicRouteData = this.mQClientAPIImpl.getTopicRouteInfoFromNameServer(topic, 1000 * 3); } if (topicRouteData != null) { TopicRouteData old = this.topicRouteTable.get(topic); boolean changed = topicRouteDataIsChange(old, topicRouteData); if (!changed) { changed = this.isNeedUpdateTopicRouteInfo(topic); } else { log.info("the topic[{}] route info changed, old[{}] ,new[{}]", topic, old, topicRouteData); }
if (changed) { TopicRouteData cloneTopicRouteData = topicRouteData.cloneTopicRouteData();
for (BrokerData bd : topicRouteData.getBrokerDatas()) { this.brokerAddrTable.put(bd.getBrokerName(), bd.getBrokerAddrs()); }
// Update Pub info { // 为每个broker分配queueId TopicPublishInfo publishInfo = topicRouteData2TopicPublishInfo(topic, topicRouteData); publishInfo.setHaveTopicRouterInfo(true); Iterator> it = this.producerTable.entrySet().iterator(); while (it.hasNext()) { Entry entry = it.next(); MQProducerInner impl = entry.getValue(); if (impl != null) { impl.updateTopicPublishInfo(topic, publishInfo); } } }
// Update sub info { Set subscribeInfo = topicRouteData2TopicSubscribeInfo(topic, topicRouteData); Iterator> it = this.consumerTable.entrySet().iterator(); while (it.hasNext()) { Entry entry = it.next(); MQConsumerInner impl = entry.getValue(); if (impl != null) { impl.updateTopicSubscribeInfo(topic, subscribeInfo); } } } log.info("topicRouteTable.put. Topic = {}, TopicRouteData[{}]", topic, cloneTopicRouteData); this.topicRouteTable.put(topic, cloneTopicRouteData); return true; } } else { log.warn("updateTopicRouteInfoFromNameServer, getTopicRouteInfoFromNameServer return null, Topic: {}", topic); } } catch (MQClientException e) { if (!topic.startsWith(MixAll.RETRY_GROUP_TOPIC_PREFIX)) { log.warn("updateTopicRouteInfoFromNameServer Exception", e); } } catch (RemotingException e) { log.error("updateTopicRouteInfoFromNameServer Exception", e); throw new IllegalStateException(e); } finally { this.lockNamesrv.unlock(); } } else { log.warn("updateTopicRouteInfoFromNameServer tryLock timeout {}ms", LOCK_TIMEOUT_MILLIS); } } catch (InterruptedException e) { log.warn("updateTopicRouteInfoFromNameServer Exception", e); }
return false; }

生产者分配queueId的实现如下:

// org.apache.rocketmq.client.impl.factory.MQClientInstance#topicRouteData2TopicPublishInfo    public static TopicPublishInfo topicRouteData2TopicPublishInfo(final String topic, final TopicRouteData route) {        TopicPublishInfo info = new TopicPublishInfo();        info.setTopicRouteData(route);        // 为每个broker指定queueId的分配情况(最大queueId)        // 这样的配置不知道累不累        if (route.getOrderTopicConf() != null && route.getOrderTopicConf().length() > 0) {            String[] brokers = route.getOrderTopicConf().split(";");            for (String broker : brokers) {                String[] item = broker.split(":");                int nums = Integer.parseInt(item[1]);                for (int i = 0; i < nums; i++) {                    MessageQueue mq = new MessageQueue(topic, item[0], i);                    info.getMessageQueueList().add(mq);                }            }
info.setOrderTopic(true); } else { List qds = route.getQueueDatas(); Collections.sort(qds); for (QueueData qd : qds) { if (PermName.isWriteable(qd.getPerm())) { BrokerData brokerData = null; for (BrokerData bd : route.getBrokerDatas()) { if (bd.getBrokerName().equals(qd.getBrokerName())) { brokerData = bd; break; } } // 还是有broker无法处理queue哦 if (null == brokerData) { continue; } // 非master节点不能接受写请求 if (!brokerData.getBrokerAddrs().containsKey(MixAll.MASTER_ID)) { continue; } // 根据 writeQueueNums 数量,要求该broker接受所有小于该值的queueId for (int i = 0; i < qd.getWriteQueueNums(); i++) { MessageQueue mq = new MessageQueue(topic, qd.getBrokerName(), i); info.getMessageQueueList().add(mq); } } }
info.setOrderTopic(false); }
return info; }


可以看出,生产者对应的broker中,负责写的broker只能是master节点,负责所有小于writeQueueNums的queueId的数据存储。(如果所有broker配置一样,则相当于所有broker都存储所有queueId),所以,这存储关系,可能是理不清楚了。

我们再来看看消费者是如何对应queueId的呢?

// org.apache.rocketmq.client.impl.factory.MQClientInstance#topicRouteData2TopicSubscribeInfo    public static Set topicRouteData2TopicSubscribeInfo(final String topic, final TopicRouteData route) {        Set mqList = new HashSet();        List qds = route.getQueueDatas();        for (QueueData qd : qds) {            if (PermName.isReadable(qd.getPerm())) {                // 可读取broker上对应的所有小于readQueueNums 的队列                for (int i = 0; i < qd.getReadQueueNums(); i++) {                    MessageQueue mq = new MessageQueue(topic, qd.getBrokerName(), i);                    mqList.add(mq);                }            }        }
return mqList; }

原理和生产者差不多,就是通过一个 readQueueNums 来限定读取的队列数,基本上就是等于所有队列了,原因可能是原本数据就存储了所有queueId,如果消费者不读取,又该谁来读取呢。 

好了,到此我们总算厘清了整个rocketmq的消息存储定位方式了。总结一句话就是:任何节点都可能有任意topic的任意queueId数据。这结果,不禁又让我有一种千头万绪的感觉!

以上仅是一些正常的rocketmq数据存储的实现,只能算是皮毛。事实上,分布式系统中一个非常重要的能力是容错,欲知后事如何且听下回分解。



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出处:https://www.cnblogs.com/yougewe/p/14128845.html


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