聊聊MaxwellKafkaProducer

序

本文主要研究一下MaxwellKafkaProducer

MaxwellKafkaProducer

maxwell-1.25.1/src/main/java/com/zendesk/maxwell/producer/MaxwellKafkaProducer.java

public class MaxwellKafkaProducer extends AbstractProducer {
    private final ArrayBlockingQueue<RowMap> queue;
    private final MaxwellKafkaProducerWorker worker;

    public MaxwellKafkaProducer(MaxwellContext context, Properties kafkaProperties, String kafkaTopic) {
        super(context);
        this.queue = new ArrayBlockingQueue<>(100);
        this.worker = new MaxwellKafkaProducerWorker(context, kafkaProperties, kafkaTopic, this.queue);
        Thread thread = new Thread(this.worker, "maxwell-kafka-worker");
        thread.setDaemon(true);
        thread.start();
    }

    @Override
    public void push(RowMap r) throws Exception {
        this.queue.put(r);
    }

    @Override
    public StoppableTask getStoppableTask() {
        return this.worker;
    }

    @Override
    public KafkaProducerDiagnostic getDiagnostic() {
        return new KafkaProducerDiagnostic(worker, context.getConfig(), context.getPositionStoreThread());
    }
}

• MaxwellKafkaProducer继承了AbstractProducer，其构造器会创建ArrayBlockingQueue、ArrayBlockingQueue；其push方法则往queue中put数据

MaxwellKafkaProducerWorker

maxwell-1.25.1/src/main/java/com/zendesk/maxwell/producer/MaxwellKafkaProducer.java

class MaxwellKafkaProducerWorker extends AbstractAsyncProducer implements Runnable, StoppableTask {
    static final Logger LOGGER = LoggerFactory.getLogger(MaxwellKafkaProducer.class);

    private final Producer<String, String> kafka;
    private final String topic;
    private final String ddlTopic;
    private final MaxwellKafkaPartitioner partitioner;
    private final MaxwellKafkaPartitioner ddlPartitioner;
    private final KeyFormat keyFormat;
    private final boolean interpolateTopic;
    private final ArrayBlockingQueue<RowMap> queue;
    private Thread thread;
    private StoppableTaskState taskState;
    private String deadLetterTopic;
    private final ConcurrentLinkedQueue<Pair<ProducerRecord<String,String>, KafkaCallback>> deadLetterQueue;

    public static MaxwellKafkaPartitioner makeDDLPartitioner(String partitionHashFunc, String partitionKey) {
        if ( partitionKey.equals("table") ) {
            return new MaxwellKafkaPartitioner(partitionHashFunc, "table", null, "database");
        } else {
            return new MaxwellKafkaPartitioner(partitionHashFunc, "database", null, null);
        }
    }

    public MaxwellKafkaProducerWorker(MaxwellContext context, String kafkaTopic, ArrayBlockingQueue<RowMap> queue,
        Producer<String,String> producer)
    {
        super(context);

        if ( kafkaTopic == null ) {
            this.topic = "maxwell";
        } else {
            this.topic = kafkaTopic;
        }

        this.interpolateTopic = this.topic.contains("%{");
        this.kafka = producer;

        String hash = context.getConfig().kafkaPartitionHash;
        String partitionKey = context.getConfig().producerPartitionKey;
        String partitionColumns = context.getConfig().producerPartitionColumns;
        String partitionFallback = context.getConfig().producerPartitionFallback;
        this.partitioner = new MaxwellKafkaPartitioner(hash, partitionKey, partitionColumns, partitionFallback);

        this.ddlPartitioner = makeDDLPartitioner(hash, partitionKey);
        this.ddlTopic =  context.getConfig().ddlKafkaTopic;
        this.deadLetterTopic = context.getConfig().deadLetterTopic;
        this.deadLetterQueue = new ConcurrentLinkedQueue<>();

        if ( context.getConfig().kafkaKeyFormat.equals("hash") )
            keyFormat = KeyFormat.HASH;
        else
            keyFormat = KeyFormat.ARRAY;

        this.queue = queue;
        this.taskState = new StoppableTaskState("MaxwellKafkaProducerWorker");
    }

    public MaxwellKafkaProducerWorker(MaxwellContext context, Properties kafkaProperties, String kafkaTopic,
        ArrayBlockingQueue<RowMap> queue)
    {
        this(context, kafkaTopic, queue,
            new KafkaProducer<String,String>(kafkaProperties, new StringSerializer(), new StringSerializer()));
    }

    @Override
    public void run() {
        this.thread = Thread.currentThread();
        while ( true ) {
            try {
                drainDeadLetterQueue();
                RowMap row = queue.take();
                if (!taskState.isRunning()) {
                    taskState.stopped();
                    return;
                }
                this.push(row);
            } catch ( Exception e ) {
                taskState.stopped();
                context.terminate(e);
                return;
            }
        }
    }

    void drainDeadLetterQueue() {
        Pair<ProducerRecord<String, String>, KafkaCallback> pair;
        while ((pair = deadLetterQueue.poll()) != null) {
            sendAsync(pair.getLeft(), pair.getRight());
        }
    }

    //......

}

• MaxwellKafkaProducerWorker继承了AbstractAsyncProducer，实现了Runnable及StoppableTask接口；其run方法使用while循环，不断执行drainDeadLetterQueue、queue.take()、this.push(row)；drainDeadLetterQueue方法从deadLetterQueue拉取数据，然后通过sendAsync再次发送

AbstractAsyncProducer

maxwell-1.25.1/src/main/java/com/zendesk/maxwell/producer/AbstractAsyncProducer.java

public abstract class AbstractAsyncProducer extends AbstractProducer {

    public class CallbackCompleter {
        private InflightMessageList inflightMessages;
        private final MaxwellContext context;
        private final MaxwellConfig config;
        private final Position position;
        private final boolean isTXCommit;
        private final long messageID;

        public CallbackCompleter(InflightMessageList inflightMessages, Position position, boolean isTXCommit, MaxwellContext context, long messageID) {
            this.inflightMessages = inflightMessages;
            this.context = context;
            this.config = context.getConfig();
            this.position = position;
            this.isTXCommit = isTXCommit;
            this.messageID = messageID;
        }

        public void markCompleted() {
            inflightMessages.freeSlot(messageID);
            if(isTXCommit) {
                InflightMessageList.InflightMessage message = inflightMessages.completeMessage(position);

                if (message != null) {
                    context.setPosition(message.position);
                    long currentTime = System.currentTimeMillis();
                    long age = currentTime - message.sendTimeMS;

                    messagePublishTimer.update(age, TimeUnit.MILLISECONDS);
                    messageLatencyTimer.update(Math.max(0L, currentTime - message.eventTimeMS - 500L), TimeUnit.MILLISECONDS);

                    if (age > config.metricsAgeSlo) {
                        messageLatencySloViolationCount.inc();
                    }
                }
            }
        }
    }

    private InflightMessageList inflightMessages;

    public AbstractAsyncProducer(MaxwellContext context) {
        super(context);

        this.inflightMessages = new InflightMessageList(context);

        Metrics metrics = context.getMetrics();
        String gaugeName = metrics.metricName("inflightmessages", "count");
        metrics.register(gaugeName, (Gauge<Long>) () -> (long) inflightMessages.size());
    }

    public abstract void sendAsync(RowMap r, CallbackCompleter cc) throws Exception;

    @Override
    public final void push(RowMap r) throws Exception {
        Position position = r.getNextPosition();
        // Rows that do not get sent to a target will be automatically marked as complete.
        // We will attempt to commit a checkpoint up to the current row.
        if(!r.shouldOutput(outputConfig)) {
            if ( position != null ) {
                inflightMessages.addMessage(position, r.getTimestampMillis(), 0L);

                InflightMessageList.InflightMessage completed = inflightMessages.completeMessage(position);
                if (completed != null) {
                    context.setPosition(completed.position);
                }
            }
            return;
        }

        // back-pressure from slow producers

        long messageID = inflightMessages.waitForSlot();

        if(r.isTXCommit()) {
            inflightMessages.addMessage(position, r.getTimestampMillis(), messageID);
        }

        CallbackCompleter cc = new CallbackCompleter(inflightMessages, position, r.isTXCommit(), context, messageID);

        sendAsync(r, cc);
    }
}

• AbstractAsyncProducer继承了AbstractProducer，其push方法主要执行inflightMessages.addMessage及sendAsync

小结

MaxwellKafkaProducer继承了AbstractProducer，其构造器会创建ArrayBlockingQueue、ArrayBlockingQueue；其push方法则往queue中put数据；MaxwellKafkaProducerWorker继承了AbstractAsyncProducer，实现了Runnable及StoppableTask接口；其run方法使用while循环，不断执行drainDeadLetterQueue、queue.take()、this.push(row)；drainDeadLetterQueue方法从deadLetterQueue拉取数据，然后通过sendAsync再次发送

doc

• MaxwellKafkaProducer

作者：codecraft

原文地址：https://segmentfault.com/a/1190000022534833

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