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本文主要聊一聊kafka client的auto commit的實現(xiàn)

maven

        <dependency>
            <groupId>org.apache.kafka</groupId>
            <artifactId>kafka-clients</artifactId>
            <version>0.10.2.1</version>
        </dependency>

poll

kafka-clients-0.10.2.1-sources.jar!/org/apache/kafka/clients/consumer/KafkaConsumer.java

public ConsumerRecords<K, V> poll(long timeout) {
        acquire();
        try {
            if (timeout < 0)
                throw new IllegalArgumentException("Timeout must not be negative");

            if (this.subscriptions.hasNoSubscriptionOrUserAssignment())
                throw new IllegalStateException("Consumer is not subscribed to any topics or assigned any partitions");

            // poll for new data until the timeout expires
            long start = time.milliseconds();
            long remaining = timeout;
            do {
                Map<TopicPartition, List<ConsumerRecord<K, V>>> records = pollOnce(remaining);
                if (!records.isEmpty()) {
                    // before returning the fetched records, we can send off the next round of fetches
                    // and avoid block waiting for their responses to enable pipelining while the user
                    // is handling the fetched records.
                    //
                    // NOTE: since the consumed position has already been updated, we must not allow
                    // wakeups or any other errors to be triggered prior to returning the fetched records.
                    if (fetcher.sendFetches() > 0 || client.pendingRequestCount() > 0)
                        client.pollNoWakeup();

                    if (this.interceptors == null)
                        return new ConsumerRecords<>(records);
                    else
                        return this.interceptors.onConsume(new ConsumerRecords<>(records));
                }

                long elapsed = time.milliseconds() - start;
                remaining = timeout - elapsed;
            } while (remaining > 0);

            return ConsumerRecords.empty();
        } finally {
            release();
        }
    }

這里調(diào)用了pollOnce方法

/**
     * Do one round of polling. In addition to checking for new data, this does any needed offset commits
     * (if auto-commit is enabled), and offset resets (if an offset reset policy is defined).
     * @param timeout The maximum time to block in the underlying call to {@link ConsumerNetworkClient#poll(long)}.
     * @return The fetched records (may be empty)
     */
    private Map<TopicPartition, List<ConsumerRecord<K, V>>> pollOnce(long timeout) {
        coordinator.poll(time.milliseconds());

        // fetch positions if we have partitions we're subscribed to that we
        // don't know the offset for
        if (!subscriptions.hasAllFetchPositions())
            updateFetchPositions(this.subscriptions.missingFetchPositions());

        // if data is available already, return it immediately
        Map<TopicPartition, List<ConsumerRecord<K, V>>> records = fetcher.fetchedRecords();
        if (!records.isEmpty())
            return records;

        // send any new fetches (won't resend pending fetches)
        fetcher.sendFetches();

        long now = time.milliseconds();
        long pollTimeout = Math.min(coordinator.timeToNextPoll(now), timeout);

        client.poll(pollTimeout, now, new PollCondition() {
            @Override
            public boolean shouldBlock() {
                // since a fetch might be completed by the background thread, we need this poll condition
                // to ensure that we do not block unnecessarily in poll()
                return !fetcher.hasCompletedFetches();
            }
        });

        // after the long poll, we should check whether the group needs to rebalance
        // prior to returning data so that the group can stabilize faster
        if (coordinator.needRejoin())
            return Collections.emptyMap();

        return fetcher.fetchedRecords();
    }

注意雕旨，這里首先調(diào)用了coordinator.poll(time.milliseconds());

ConsumerCoordinator#poll

kafka-clients-0.10.2.1-sources.jar!/org/apache/kafka/clients/consumer/internals/ConsumerCoordinator.java

/**
     * Poll for coordinator events. This ensures that the coordinator is known and that the consumer
     * has joined the group (if it is using group management). This also handles periodic offset commits
     * if they are enabled.
     *
     * @param now current time in milliseconds
     */
    public void poll(long now) {
        invokeCompletedOffsetCommitCallbacks();

        if (subscriptions.partitionsAutoAssigned() && coordinatorUnknown()) {
            ensureCoordinatorReady();
            now = time.milliseconds();
        }

        if (needRejoin()) {
            // due to a race condition between the initial metadata fetch and the initial rebalance,
            // we need to ensure that the metadata is fresh before joining initially. This ensures
            // that we have matched the pattern against the cluster's topics at least once before joining.
            if (subscriptions.hasPatternSubscription())
                client.ensureFreshMetadata();

            ensureActiveGroup();
            now = time.milliseconds();
        }

        pollHeartbeat(now);
        maybeAutoCommitOffsetsAsync(now);
    }

這里重點看3個方法扮匠，一個是ensureActiveGroup，一個是pollHeartbeat凡涩，一個是maybeAutoCommitOffsetsAsync

pollHeartbeat

protected synchronized void pollHeartbeat(long now) {
        if (heartbeatThread != null) {
            if (heartbeatThread.hasFailed()) {
                // set the heartbeat thread to null and raise an exception. If the user catches it,
                // the next call to ensureActiveGroup() will spawn a new heartbeat thread.
                RuntimeException cause = heartbeatThread.failureCause();
                heartbeatThread = null;
                throw cause;
            }

            heartbeat.poll(now);
        }
    }

這里會觸發(fā)一次心跳

當然棒搜，光靠poll來觸發(fā)心跳，這個是不靠譜的活箕，單線程重走之前版本的老路了力麸，新版本當然有個新線程來保證
kafka-clients-0.10.2.1-sources.jar!/org/apache/kafka/clients/consumer/internals/AbstractCoordinator.java

private class HeartbeatThread extends KafkaThread {
        private boolean enabled = false;
        private boolean closed = false;
        private AtomicReference<RuntimeException> failed = new AtomicReference<>(null);

        private HeartbeatThread() {
            super("kafka-coordinator-heartbeat-thread" + (groupId.isEmpty() ? "" : " | " + groupId), true);
        }

        //......
}

    /**
     * Ensure that the group is active (i.e. joined and synced)
     */
    public void ensureActiveGroup() {
        // always ensure that the coordinator is ready because we may have been disconnected
        // when sending heartbeats and does not necessarily require us to rejoin the group.
        ensureCoordinatorReady();
        startHeartbeatThreadIfNeeded();
        joinGroupIfNeeded();
    }

    private synchronized void startHeartbeatThreadIfNeeded() {
        if (heartbeatThread == null) {
            heartbeatThread = new HeartbeatThread();
            heartbeatThread.start();
        }
    }        

ensureActiveGroup這個方法保證heartbeatThread有啟動起來

maybeAutoCommitOffsetsAsync

private void maybeAutoCommitOffsetsAsync(long now) {
        if (autoCommitEnabled) {
            if (coordinatorUnknown()) {
                this.nextAutoCommitDeadline = now + retryBackoffMs;
            } else if (now >= nextAutoCommitDeadline) {
                this.nextAutoCommitDeadline = now + autoCommitIntervalMs;
                doAutoCommitOffsetsAsync();
            }
        }
    }
private void doAutoCommitOffsetsAsync() {
        Map<TopicPartition, OffsetAndMetadata> allConsumedOffsets = subscriptions.allConsumed();
        log.debug("Sending asynchronous auto-commit of offsets {} for group {}", allConsumedOffsets, groupId);

        commitOffsetsAsync(allConsumedOffsets, new OffsetCommitCallback() {
            @Override
            public void onComplete(Map<TopicPartition, OffsetAndMetadata> offsets, Exception exception) {
                if (exception != null) {
                    log.warn("Auto-commit of offsets {} failed for group {}: {}", offsets, groupId,
                            exception.getMessage());
                    if (exception instanceof RetriableException)
                        nextAutoCommitDeadline = Math.min(time.milliseconds() + retryBackoffMs, nextAutoCommitDeadline);
                } else {
                    log.debug("Completed auto-commit of offsets {} for group {}", offsets, groupId);
                }
            }
        });
    }    

這里會根據(jù)設定的auto.commit.interval.ms然后計算下次的auto commit時間