Rocketmq源碼解讀之消息拉取

時間  2019-12-08
標籤 rocketmq 源碼 解讀 消息 简体版
原文   原文鏈接

最近閱讀了Rocketmq關於pullmessage的實現方式，分享出來緩存

 

衆所周知，Rocketmq在consumer端是拉取消息的方式，它會在客戶端維護一個PullRequestQueue，這個是一個阻塞隊列（LinkedBlockingQueue），內部的節點是PullRequest，每個PullRequest表明了一個消費的分組單元框架

 

PullRequest會記錄一個topic對應的consumerGroup的拉取進度，包括MessageQueue和PorcessQueue，還有拉取的offset異步

（代碼片斷一）
public class PullRequest {
    private String consumerGroup;
    private MessageQueue messageQueue;
    private ProcessQueue processQueue;
    private long nextOffset;
    private boolean lockedFirst = false;
}

其中MessageQueue記錄元信息：ide

（代碼片斷二）
public class MessageQueue implements Comparable<MessageQueue>, Serializable {
    private String topic;
    private String brokerName;
    private int queueId;
}

PorcessQueue記錄一次拉取以後實際消息體和拉取相關操做記錄的快照ui

（代碼片斷三）
public class ProcessQueue {
    private final ReadWriteLock lockTreeMap = new ReentrantReadWriteLock();
    private final TreeMap<Long, MessageExt> msgTreeMap = new TreeMap<Long, MessageExt>();
    private final AtomicLong msgCount = new AtomicLong();
    private final AtomicLong msgSize = new AtomicLong();
    private final Lock lockConsume = new ReentrantLock();
    private final TreeMap<Long, MessageExt> consumingMsgOrderlyTreeMap = new TreeMap<Long, MessageExt>();
    private final AtomicLong tryUnlockTimes = new AtomicLong(0);
    private volatile long queueOffsetMax = 0L;
    private volatile boolean dropped = false;
    private volatile long lastPullTimestamp = System.currentTimeMillis();
    private volatile long lastConsumeTimestamp = System.currentTimeMillis();
    private volatile boolean locked = false;
    private volatile long lastLockTimestamp = System.currentTimeMillis();
    private volatile boolean consuming = false;
    private volatile long msgAccCnt = 0;
}

 

 

PullMessageService負責輪詢PullRequestQueue，並進行消息元的拉取this

（代碼片斷四）
public class PullMessageService extends ServiceThread {
    private final InternalLogger log = ClientLogger.getLog();
    private final LinkedBlockingQueue<PullRequest> pullRequestQueue = new LinkedBlockingQueue<PullRequest>();
    private final MQClientInstance mQClientFactory;
    @Override
    public void run() {
        while (!this.isStopped()) {
            try {
                PullRequest pullRequest = this.pullRequestQueue.take();
                this.pullMessage(pullRequest);
            } catch (InterruptedException ignored) {
            } catch (Exception e) {
                log.error("Pull Message Service Run Method exception", e);
            }
        }
    }
}

 

在發送的時候會維護一個PullCallback，這是拉取收到消息後的回調處理spa

（代碼片斷五）
public interface PullCallback {
    void onSuccess(final PullResult pullResult);
    void onException(final Throwable e);
}

這裏的實現邏輯就不貼了，本質上就是把消息丟給消費線程池來處理線程

 

pullMessage分爲同步拉取和異步拉取兩種模式，先解讀異步拉取，而後再解讀同步拉取，再說明二者的區別netty

其實從這裏已經大概能夠看出來，異步的方式，這個方法返回值是null，同步的方式必需要返回PullResult，後續說明區別code

（代碼片斷六）
public PullResult pullMessage(
        final String addr,
        final PullMessageRequestHeader requestHeader,
        final long timeoutMillis,
        final CommunicationMode communicationMode,
        final PullCallback pullCallback
    ) throws RemotingException, MQBrokerException, InterruptedException {
        RemotingCommand request = RemotingCommand.createRequestCommand(RequestCode.PULL_MESSAGE, requestHeader);
        switch (communicationMode) {
            case ONEWAY:
                assert false;
                return null;
            case ASYNC:
                this.pullMessageAsync(addr, request, timeoutMillis, pullCallback);
                return null;
            case SYNC:
                return this.pullMessageSync(addr, request, timeoutMillis);
            default:
                assert false;
                break;
        }

        return null;
    }

 

先介紹異步拉取

能夠看到，把PullCallback傳進去，並封裝了InvokeCallback，

（代碼片斷七）
private void pullMessageAsync(
        final String addr,
        final RemotingCommand request,
        final long timeoutMillis,
        final PullCallback pullCallback
    ) throws RemotingException, InterruptedException {
        this.remotingClient.invokeAsync(addr, request, timeoutMillis, new InvokeCallback() {
            @Override
            public void operationComplete(ResponseFuture responseFuture) {
                RemotingCommand response = responseFuture.getResponseCommand();
                if (response != null) {
                    try {
                        PullResult pullResult = MQClientAPIImpl.this.processPullResponse(response);
                        assert pullResult != null;
                        pullCallback.onSuccess(pullResult);
                    } catch (Exception e) {
                        pullCallback.onException(e);
                    }
                } else {
                    if (!responseFuture.isSendRequestOK()) {
                        pullCallback.onException(new MQClientException("send request failed to " + addr + ". Request: " + request, responseFuture.getCause()));
                    } else if (responseFuture.isTimeout()) {
                        pullCallback.onException(new MQClientException("wait response from " + addr + " timeout :" + responseFuture.getTimeoutMillis() + "ms" + ". Request: " + request,
                                responseFuture.getCause()));
                    } else {
                        pullCallback.onException(new MQClientException("unknown reason. addr: " + addr + ", timeoutMillis: " + timeoutMillis + ". Request: " + request, responseFuture.getCause()));
                    }
                }
            }
        });
    }

 

接下來進入NettyRemotingAbstract這個類中，使用netty的Chanle發送

（代碼片斷八）
public void invokeAsyncImpl(final Channel channel, final RemotingCommand request, final long timeoutMillis,
        final InvokeCallback invokeCallback)
        throws InterruptedException, RemotingTooMuchRequestException, RemotingTimeoutException, RemotingSendRequestException {
        final int opaque = request.getOpaque();
        boolean acquired = this.semaphoreAsync.tryAcquire(timeoutMillis, TimeUnit.MILLISECONDS);
        if (acquired) {
            final SemaphoreReleaseOnlyOnce once = new SemaphoreReleaseOnlyOnce(this.semaphoreAsync);

            final ResponseFuture responseFuture = new ResponseFuture(opaque, timeoutMillis, invokeCallback, once);
            this.responseTable.put(opaque, responseFuture);
            try {
                channel.writeAndFlush(request).addListener(new ChannelFutureListener() {
                    @Override
                    public void operationComplete(ChannelFuture f) throws Exception {
                        if (f.isSuccess()) {
                            responseFuture.setSendRequestOK(true);
                            return;
                        } else {
                            responseFuture.setSendRequestOK(false);
                        }

                        responseFuture.putResponse(null);
                        responseTable.remove(opaque);
                        try {
                            executeInvokeCallback(responseFuture);
                        } catch (Throwable e) {
                            log.warn("excute callback in writeAndFlush addListener, and callback throw", e);
                        } finally {
                            responseFuture.release();
                        }

                        log.warn("send a request command to channel <{}> failed.", RemotingHelper.parseChannelRemoteAddr(channel));
                    }
                });
            } catch (Exception e) {
                responseFuture.release();
                log.warn("send a request command to channel <" + RemotingHelper.parseChannelRemoteAddr(channel) + "> Exception", e);
                throw new RemotingSendRequestException(RemotingHelper.parseChannelRemoteAddr(channel), e);
            }
        } else {
            if (timeoutMillis <= 0) {
                throw new RemotingTooMuchRequestException("invokeAsyncImpl invoke too fast");
            } else {
                String info =
                    String.format("invokeAsyncImpl tryAcquire semaphore timeout, %dms, waiting thread nums: %d semaphoreAsyncValue: %d",
                        timeoutMillis,
                        this.semaphoreAsync.getQueueLength(),
                        this.semaphoreAsync.availablePermits()
                    );
                log.warn(info);
                throw new RemotingTimeoutException(info);
            }
        }
    }

 

這裏須要詳細解讀一下：

RemotingCommand是request和response的載體，先從request中取出opaque，這是一個自增的操做id，而後將傳進來的opaque和invokeCallback封裝成一個ResponseFuture，再put到一個叫

responseTable的map中，這個map是一個核心的map，維護着opaque和對應的ResponseFuture

    /**
     * This map caches all on-going requests.
     */
    protected final ConcurrentMap<Integer /* opaque */, ResponseFuture> responseTable =
        new ConcurrentHashMap<Integer, ResponseFuture>(256);

從註釋中能夠看出，它緩存着正在執行的request

 

再回到剛剛的（代碼片斷八）中，channel.writeAndFlush(request).addListener(new ChannelFutureListener(){...})，netty在writeAndFlush發送完以後會回調咱們ChannelFutureListener的operationComplete方法：若是發送成功則responseFuture.setSendRequestOK(true); 而且就return了；若是發送失敗，則從responseTable中移除，而且起一個異步線程執行responseFuture中的InvokeCallback，在（代碼片斷七）中，能夠看到當responseFuture.isSendRequestOK()是false的時候，執行了onException，這裏就很少介紹了。

 

那麼此時發送的邏輯就所有結束了，整個過程沒有任何的阻塞，當Broker收到拉取請求後，會按照queueOffset等信息封裝好返回consumer端，

會通過NettyRemotingServer上註冊的NettyServerHandler

（代碼片斷九）
class NettyServerHandler extends SimpleChannelInboundHandler<RemotingCommand> {
        @Override
        protected void channelRead0(ChannelHandlerContext ctx, RemotingCommand msg) throws Exception {
            processTunnelId(ctx, msg);
            processMessageReceived(ctx, msg);
        }

        public void processTunnelId(ChannelHandlerContext ctx, RemotingCommand msg) {
            if (nettyServerConfig.isValidateTunnelIdFromVtoaEnable()) {
                if (null != msg && msg.getType() == RemotingCommandType.REQUEST_COMMAND) {
                    Vtoa vtoa = tunnelTable.get(ctx.channel());
                    if (null == vtoa) {
                        vtoa = VpcTunnelUtils.getInstance().getTunnelID(ctx);
                        tunnelTable.put(ctx.channel(), vtoa);
                    }
                    msg.addExtField(VpcTunnelUtils.PROPERTY_VTOA_TUNNEL_ID, String.valueOf(vtoa.getVid()));
                }
            }
        }
    }

 

最終會調用到NettyRemotingAbstract的processResponseCommand，RemotingCommand中根據opaque從responseTable中獲取ResponseFuture，而後一樣也是執行callback，這樣，就實現了整個pullmessage的異步模式

(代碼片斷十)
public void processResponseCommand(ChannelHandlerContext ctx, RemotingCommand cmd) {
        final int opaque = cmd.getOpaque();
        final ResponseFuture responseFuture = responseTable.get(opaque);
        if (responseFuture != null) {
            responseFuture.setResponseCommand(cmd);

            responseTable.remove(opaque);

            if (responseFuture.getInvokeCallback() != null) { //異步
                executeInvokeCallback(responseFuture); //執行回調
            } else { //同步
                responseFuture.putResponse(cmd); //爲了解除阻塞
                responseFuture.release();
            }
        } else {
            log.warn("receive response, but not matched any request, " + RemotingHelper.parseChannelRemoteAddr(ctx.channel()));
            log.warn(cmd.toString());
        }
    }

 

咱們再看下同步的方式是如何實現的

 

回顧下代碼片斷六，同步的方式是須要返回PullResult的，換句話說，這種方式是須要在發送的線程中來處理返回結果的

咱們從代碼片斷六跟下去，跟到NettyRemotingAbstract的invokeSyncImpl

（代碼片斷十一）
public RemotingCommand invokeSyncImpl(final Channel channel, final RemotingCommand request,
        final long timeoutMillis)
        throws InterruptedException, RemotingSendRequestException, RemotingTimeoutException {
        final int opaque = request.getOpaque();

        try {
            final ResponseFuture responseFuture = new ResponseFuture(opaque, timeoutMillis, null, null);
            this.responseTable.put(opaque, responseFuture);
            final SocketAddress addr = channel.remoteAddress();
            channel.writeAndFlush(request).addListener(new ChannelFutureListener() {
                @Override
                public void operationComplete(ChannelFuture f) throws Exception {
                    if (f.isSuccess()) {
                        responseFuture.setSendRequestOK(true);
                        return;
                    } else {
                        responseFuture.setSendRequestOK(false);
                    }

                    responseTable.remove(opaque);
                    responseFuture.setCause(f.cause());
                    responseFuture.putResponse(null);
                    log.warn("send a request command to channel <" + addr + "> failed.");
                }
            });

            RemotingCommand responseCommand = responseFuture.waitResponse(timeoutMillis);
            if (null == responseCommand) {
                if (responseFuture.isSendRequestOK()) {
                    throw new RemotingTimeoutException(RemotingHelper.parseSocketAddressAddr(addr), timeoutMillis,
                        responseFuture.getCause());
                } else {
                    throw new RemotingSendRequestException(RemotingHelper.parseSocketAddressAddr(addr), responseFuture.getCause());
                }
            }

            return responseCommand;
        } finally {
            this.responseTable.remove(opaque);
        }
    }

 

和異步發送的代碼片斷八對比一下，能夠看到，同步方式也要放到responseTable中，這裏就有個疑惑了，既然都同步了，還要放到responseTable中幹什麼呢，繼續往下看，

ChannelFutureListener都是同樣的，若是發送成功就返回了，而後到了最關鍵的一行：

RemotingCommand responseCommand = responseFuture.waitResponse(timeoutMillis);

這一行顧名思義就是阻塞了，可是也不能一直阻塞住（由於PullMessageService是單線程的，若是由於一個異常就阻塞那就跪了），因此是一個設置了超時時間的阻塞，看下是如何阻塞的

 

ResponseFuture中有這兩個方法，當putResponse的時候，把RemotingCommand賦值，而且countDownLatch.countDown，而在waitResponse的時候countDownLatch.await

（代碼片斷十二）
public RemotingCommand waitResponse(final long timeoutMillis) throws InterruptedException {
        this.countDownLatch.await(timeoutMillis, TimeUnit.MILLISECONDS);
        return this.responseCommand;
}

public void putResponse(final RemotingCommand responseCommand) {
        this.responseCommand = responseCommand;
        this.countDownLatch.countDown();
}

 

這樣就清晰多了，剩下的疑問就是，在何時putResponse的，有兩個地方：

第一個地方，當拉取消息回來的時候，回顧下代碼片斷十，有一句是（responseFuture.getInvokeCallback() != null），經過剛剛的流程已經知道，只有異步的時候invokeCallback纔不爲null，所以走到else，看到在這個時候responseFuture.putResponse(cmd)和responseFuture.release()，也就是說同步方式也是經過responseTable存儲的方式，來獲取結果，而且經過CountDownLatch來阻塞發送的線程，當收到消息以後再countDown，發送端最終返回PullResult來處理消息

第二個地方，回顧下代碼片斷十一，在ChannelFutureListener中當發送失敗了之後，也會put一個null值：responseFuture.putResponse(null)，這裏只是爲了將阻塞放開

 

至此，Rockmq關於pullmessage的同步和異步方式就已經說明白了，總結一下，同步和異步本質上都是「異步」的，由於netty就是一個異步的框架，Rockmq只是利用了CountDownLatch來阻塞住發送端線程來實現了「同步」的效果，

經過一個responseTable來緩存住發送出去的請求，等收到的時候從這個緩存裏按對應關係取出來，再去作對應的consumer線程的消息處理

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