【RocketMQ】客户端源码解析 - 消息流控

 

简述

消息由PullMessageService类采用单线程的方式从每个消息队列中轮询拉取。

一个PullRequest对应一个消息队列。PullRequest启动时由RebalanceImpl类根据监听的TOPIC信息自动获取并放入请求队列中。如果消息队列发生更新则会进行更新操作。

// PullMessageService类
public void run() {
    log.info(this.getServiceName() + " service started");

    while (!this.isStopped()) {
        try {
            PullRequest pullRequest = this.pullRequestQueue.take();
            //不同的请求对应不同的MessageQueue
            this.pullMessage(pullRequest);
        } catch (InterruptedException ignored) {
        } catch (Exception e) {
            log.error("Pull Message Service Run Method exception", e);
        }
    }

    log.info(this.getServiceName() + " service end");
}

 

拉取消费流控

数据流控在DefaultMQPushConsumerImpl 中进行控制处理；

流控主要分为两个维度，一个是待处理的消息数量，一个是待处理的消息大小。

//DefaultMQPushConsumerImpl类
public void pullMessage(final PullRequest pullRequest) {
        final ProcessQueue processQueue = pullRequest.getProcessQueue();
        if (processQueue.isDropped()) {
            log.info("the pull request[{}] is dropped.", pullRequest.toString());
            return;
        }

        pullRequest.getProcessQueue().setLastPullTimestamp(System.currentTimeMillis());

        try {
            this.makeSureStateOK();
        } catch (MQClientException e) {
            log.warn("pullMessage exception, consumer state not ok", e);
            this.executePullRequestLater(pullRequest, pullTimeDelayMillsWhenException);
            return;
        }

        if (this.isPause()) {
            log.warn("consumer was paused, execute pull request later. instanceName={}, group={}", this.defaultMQPushConsumer.getInstanceName(), this.defaultMQPushConsumer.getConsumerGroup());
            this.executePullRequestLater(pullRequest, PULL_TIME_DELAY_MILLS_WHEN_SUSPEND);
            return;
        }

        long cachedMessageCount = processQueue.getMsgCount().get();
        long cachedMessageSizeInMiB = processQueue.getMsgSize().get() / (1024 * 1024);

        if (cachedMessageCount > this.defaultMQPushConsumer.getPullThresholdForQueue()) {
　　　　　　　　　//待处理消息数量大于临界值时，则发起流控。默认值是1000条
            this.executePullRequestLater(pullRequest, PULL_TIME_DELAY_MILLS_WHEN_FLOW_CONTROL);
            if ((queueFlowControlTimes++ % 1000) == 0) {
                log.warn(
                    "the cached message count exceeds the threshold {}, so do flow control, minOffset={}, maxOffset={}, count={}, size={} MiB, pullRequest={}, flowControlTimes={}",
                    this.defaultMQPushConsumer.getPullThresholdForQueue(), processQueue.getMsgTreeMap().firstKey(), processQueue.getMsgTreeMap().lastKey(), cachedMessageCount, cachedMessageSizeInMiB, pullRequest, queueFlowControlTimes);
            }
            return;
        }

        if (cachedMessageSizeInMiB > this.defaultMQPushConsumer.getPullThresholdSizeForQueue()) {
　　　　　　　　　//待处理消息大小大于临界值时，则发起流控。默认值是100M
            this.executePullRequestLater(pullRequest, PULL_TIME_DELAY_MILLS_WHEN_FLOW_CONTROL);
            if ((queueFlowControlTimes++ % 1000) == 0) {
                log.warn(
                    "the cached message size exceeds the threshold {} MiB, so do flow control, minOffset={}, maxOffset={}, count={}, size={} MiB, pullRequest={}, flowControlTimes={}",
                    this.defaultMQPushConsumer.getPullThresholdSizeForQueue(), processQueue.getMsgTreeMap().firstKey(), processQueue.getMsgTreeMap().lastKey(), cachedMessageCount, cachedMessageSizeInMiB, pullRequest, queueFlowControlTimes);
            }
            return;
        }
　　//省略代码，感兴趣去查找源文件
}

 流控处理则是将当前PullRequest延迟timeDelay毫秒后，再放入到pullRequestQueue队列中等待下次拉取处理。

// PullMessageService类
public void executePullRequestLater(final PullRequest pullRequest, final long timeDelay) {
        if (!isStopped()) {
            this.scheduledExecutorService.schedule(new Runnable() {
                @Override
                public void run() {
                    PullMessageService.this.executePullRequestImmediately(pullRequest);
                }
            }, timeDelay, TimeUnit.MILLISECONDS);
        } else {
            log.warn("PullMessageServiceScheduledThread has shutdown");
        }
    }

可以设置参数在拉取到待消费的数据后，流控一段时间进行下次拉取。

PullCallback pullCallback = new PullCallback() {
            @Override
            public void onSuccess(PullResult pullResult) {
                if (pullResult != null) {
                    pullResult = DefaultMQPushConsumerImpl.this.pullAPIWrapper.processPullResult(pullRequest.getMessageQueue(), pullResult,
                        subscriptionData);

                    switch (pullResult.getPullStatus()) {
                        case FOUND:
                            long prevRequestOffset = pullRequest.getNextOffset();
                            pullRequest.setNextOffset(pullResult.getNextBeginOffset());
                            long pullRT = System.currentTimeMillis() - beginTimestamp;
                            DefaultMQPushConsumerImpl.this.getConsumerStatsManager().incPullRT(pullRequest.getConsumerGroup(),
                                pullRequest.getMessageQueue().getTopic(), pullRT);

                            long firstMsgOffset = Long.MAX_VALUE;
                            if (pullResult.getMsgFoundList() == null || pullResult.getMsgFoundList().isEmpty()) {
                                DefaultMQPushConsumerImpl.this.executePullRequestImmediately(pullRequest);
                            } else {
                                firstMsgOffset = pullResult.getMsgFoundList().get(0).getQueueOffset();

                                DefaultMQPushConsumerImpl.this.getConsumerStatsManager().incPullTPS(pullRequest.getConsumerGroup(),
                                    pullRequest.getMessageQueue().getTopic(), pullResult.getMsgFoundList().size());

                                boolean dispatchToConsume = processQueue.putMessage(pullResult.getMsgFoundList());
                                DefaultMQPushConsumerImpl.this.consumeMessageService.submitConsumeRequest(
                                    pullResult.getMsgFoundList(),
                                    processQueue,
                                    pullRequest.getMessageQueue(),
                                    dispatchToConsume);

                                if (DefaultMQPushConsumerImpl.this.defaultMQPushConsumer.getPullInterval() > 0) {
                                    // 控制拉取频率，默认值是0
                                    DefaultMQPushConsumerImpl.this.executePullRequestLater(pullRequest,
                                        DefaultMQPushConsumerImpl.this.defaultMQPushConsumer.getPullInterval());
                                } else {
                                    DefaultMQPushConsumerImpl.this.executePullRequestImmediately(pullRequest);
                                }
                            }

                            if (pullResult.getNextBeginOffset() < prevRequestOffset
                                || firstMsgOffset < prevRequestOffset) {
                                log.warn(
                                    "[BUG] pull message result maybe data wrong, nextBeginOffset: {} firstMsgOffset: {} prevRequestOffset: {}",
                                    pullResult.getNextBeginOffset(),
                                    firstMsgOffset,
                                    prevRequestOffset);
                            }

                            break;

 

默认的流控值

/**
* Flow control threshold on queue level, each message queue will cache at most 1000 messages by default,
* Consider the {@code pullBatchSize}, the instantaneous value may exceed the limit
*/
private int pullThresholdForQueue = 1000;

/**
* Limit the cached message size on queue level, each message queue will cache at most 100 MiB messages by default,
* Consider the {@code pullBatchSize}, the instantaneous value may exceed the limit      *
* <p>
* The size of a message only measured by message body, so it's not accurate
*/
private int pullThresholdSizeForQueue = 100;

/**
* Message pull Interval
*/
private long pullInterval = 0;

 

消费消息流控

拉取到的消息都放到消费线程池中进行处理。可以通过控制消费线程池大小来达到流控作用，降低对消费端的消耗。

//ConsumeMessageConcurrentlyService类 
public void submitConsumeRequest(
        final List<MessageExt> msgs,
        final ProcessQueue processQueue,
        final MessageQueue messageQueue,
        final boolean dispatchToConsume) {
        final int consumeBatchSize = this.defaultMQPushConsumer.getConsumeMessageBatchMaxSize();
        if (msgs.size() <= consumeBatchSize) {
            ConsumeRequest consumeRequest = new ConsumeRequest(msgs, processQueue, messageQueue);
            try {
                //消息的处理交到消费线程池进行处理；
                this.consumeExecutor.submit(consumeRequest);
            } catch (RejectedExecutionException e) {
                this.submitConsumeRequestLater(consumeRequest);
            }
        } else {
            for (int total = 0; total < msgs.size(); ) {
                List<MessageExt> msgThis = new ArrayList<MessageExt>(consumeBatchSize);
                for (int i = 0; i < consumeBatchSize; i++, total++) {
                    if (total < msgs.size()) {
                        msgThis.add(msgs.get(total));
                    } else {
                        break;
                    }
                }

                ConsumeRequest consumeRequest = new ConsumeRequest(msgThis, processQueue, messageQueue);
                try {
                    this.consumeExecutor.submit(consumeRequest);
                } catch (RejectedExecutionException e) {
                    for (; total < msgs.size(); total++) {
                        msgThis.add(msgs.get(total));
                    }

                    this.submitConsumeRequestLater(consumeRequest);
                }
            }
        }
    }

 

public ConsumeMessageConcurrentlyService(DefaultMQPushConsumerImpl defaultMQPushConsumerImpl,
        MessageListenerConcurrently messageListener) {
        this.defaultMQPushConsumerImpl = defaultMQPushConsumerImpl;
        this.messageListener = messageListener;

        this.defaultMQPushConsumer = this.defaultMQPushConsumerImpl.getDefaultMQPushConsumer();
        this.consumerGroup = this.defaultMQPushConsumer.getConsumerGroup();
        this.consumeRequestQueue = new LinkedBlockingQueue<Runnable>();

        this.consumeExecutor = new ThreadPoolExecutor(
            this.defaultMQPushConsumer.getConsumeThreadMin(),
            this.defaultMQPushConsumer.getConsumeThreadMax(),
            1000 * 60,
            TimeUnit.MILLISECONDS,
            this.consumeRequestQueue,
            new ThreadFactoryImpl("ConsumeMessageThread_"));

        this.scheduledExecutorService = Executors.newSingleThreadScheduledExecutor(new ThreadFactoryImpl("ConsumeMessageScheduledThread_"));
        this.cleanExpireMsgExecutors = Executors.newSingleThreadScheduledExecutor(new ThreadFactoryImpl("CleanExpireMsgScheduledThread_"));
    }

配置参数

/**
     * Minimum consumer thread number
     */
    private int consumeThreadMin = 20;

    /**
     * Max consumer thread number
     */
    private int consumeThreadMax = 20;

    /**
     * Threshold for dynamic adjustment of the number of thread pool
     */
    private long adjustThreadPoolNumsThreshold = 100000;

 

 

源码参考：RocketMQ版本4.6.0  https://github.com/apache/rocketmq