kafka MirrorSourceTask 源码

  • 2022-10-20
  • 浏览 (288)

kafka MirrorSourceTask 代码

文件路径:/connect/mirror/src/main/java/org/apache/kafka/connect/mirror/MirrorSourceTask.java

/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements. See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License. You may obtain a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package org.apache.kafka.connect.mirror;

import org.apache.kafka.connect.data.Schema;
import org.apache.kafka.connect.source.SourceTask;
import org.apache.kafka.connect.source.SourceRecord;
import org.apache.kafka.connect.header.Headers;
import org.apache.kafka.connect.header.ConnectHeaders;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import org.apache.kafka.clients.producer.RecordMetadata;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.common.TopicPartition;
import org.apache.kafka.common.header.Header;
import org.apache.kafka.common.errors.WakeupException;
import org.apache.kafka.common.KafkaException;
import org.apache.kafka.common.utils.Utils;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import java.util.Map;
import java.util.HashMap;
import java.util.List;
import java.util.Set;
import java.util.ArrayList;
import java.util.stream.Collectors;
import java.util.concurrent.Semaphore;
import java.time.Duration;

/** Replicates a set of topic-partitions. */
public class MirrorSourceTask extends SourceTask {

    private static final Logger log = LoggerFactory.getLogger(MirrorSourceTask.class);

    private static final int MAX_OUTSTANDING_OFFSET_SYNCS = 10;

    private KafkaConsumer<byte[], byte[]> consumer;
    private KafkaProducer<byte[], byte[]> offsetProducer;
    private String sourceClusterAlias;
    private String offsetSyncsTopic;
    private Duration pollTimeout;
    private long maxOffsetLag;
    private Map<TopicPartition, PartitionState> partitionStates;
    private ReplicationPolicy replicationPolicy;
    private MirrorMetrics metrics;
    private boolean stopping = false;
    private Semaphore outstandingOffsetSyncs;
    private Semaphore consumerAccess;

    public MirrorSourceTask() {}

    // for testing
    MirrorSourceTask(KafkaConsumer<byte[], byte[]> consumer, MirrorMetrics metrics, String sourceClusterAlias,
                     ReplicationPolicy replicationPolicy, long maxOffsetLag, KafkaProducer<byte[], byte[]> producer) {
        this.consumer = consumer;
        this.metrics = metrics;
        this.sourceClusterAlias = sourceClusterAlias;
        this.replicationPolicy = replicationPolicy;
        this.maxOffsetLag = maxOffsetLag;
        consumerAccess = new Semaphore(1);
        this.offsetProducer = producer;
    }

    @Override
    public void start(Map<String, String> props) {
        MirrorTaskConfig config = new MirrorTaskConfig(props);
        outstandingOffsetSyncs = new Semaphore(MAX_OUTSTANDING_OFFSET_SYNCS);
        consumerAccess = new Semaphore(1);  // let one thread at a time access the consumer
        sourceClusterAlias = config.sourceClusterAlias();
        metrics = config.metrics();
        pollTimeout = config.consumerPollTimeout();
        maxOffsetLag = config.maxOffsetLag();
        replicationPolicy = config.replicationPolicy();
        partitionStates = new HashMap<>();
        offsetSyncsTopic = config.offsetSyncsTopic();
        consumer = MirrorUtils.newConsumer(config.sourceConsumerConfig());
        offsetProducer = MirrorUtils.newProducer(config.offsetSyncsTopicProducerConfig());
        Set<TopicPartition> taskTopicPartitions = config.taskTopicPartitions();
        Map<TopicPartition, Long> topicPartitionOffsets = loadOffsets(taskTopicPartitions);
        consumer.assign(topicPartitionOffsets.keySet());
        log.info("Starting with {} previously uncommitted partitions.", topicPartitionOffsets.entrySet().stream()
            .filter(x -> x.getValue() == 0L).count());
        log.trace("Seeking offsets: {}", topicPartitionOffsets);
        topicPartitionOffsets.forEach(consumer::seek);
        log.info("{} replicating {} topic-partitions {}->{}: {}.", Thread.currentThread().getName(),
            taskTopicPartitions.size(), sourceClusterAlias, config.targetClusterAlias(), taskTopicPartitions);
    }

    @Override
    public void commit() {
        // nop
    }

    @Override
    public void stop() {
        long start = System.currentTimeMillis();
        stopping = true;
        consumer.wakeup();
        try {
            consumerAccess.acquire();
        } catch (InterruptedException e) {
            log.warn("Interrupted waiting for access to consumer. Will try closing anyway."); 
        }
        Utils.closeQuietly(consumer, "source consumer");
        Utils.closeQuietly(offsetProducer, "offset producer");
        Utils.closeQuietly(metrics, "metrics");
        log.info("Stopping {} took {} ms.", Thread.currentThread().getName(), System.currentTimeMillis() - start);
    }
   
    @Override
    public String version() {
        return new MirrorSourceConnector().version();
    }

    @Override
    public List<SourceRecord> poll() {
        if (!consumerAccess.tryAcquire()) {
            return null;
        }
        if (stopping) {
            return null;
        }
        try {
            ConsumerRecords<byte[], byte[]> records = consumer.poll(pollTimeout);
            List<SourceRecord> sourceRecords = new ArrayList<>(records.count());
            for (ConsumerRecord<byte[], byte[]> record : records) {
                SourceRecord converted = convertRecord(record);
                sourceRecords.add(converted);
                TopicPartition topicPartition = new TopicPartition(converted.topic(), converted.kafkaPartition());
                metrics.recordAge(topicPartition, System.currentTimeMillis() - record.timestamp());
                metrics.recordBytes(topicPartition, byteSize(record.value()));
            }
            if (sourceRecords.isEmpty()) {
                // WorkerSourceTasks expects non-zero batch size
                return null;
            } else {
                log.trace("Polled {} records from {}.", sourceRecords.size(), records.partitions());
                return sourceRecords;
            }
        } catch (WakeupException e) {
            return null;
        } catch (KafkaException e) {
            log.warn("Failure during poll.", e);
            return null;
        } catch (Throwable e)  {
            log.error("Failure during poll.", e);
            // allow Connect to deal with the exception
            throw e;
        } finally {
            consumerAccess.release();
        }
    }
 
    @Override
    public void commitRecord(SourceRecord record, RecordMetadata metadata) {
        if (stopping) {
            return;
        }
        if (metadata == null) {
            log.debug("No RecordMetadata (source record was probably filtered out during transformation) -- can't sync offsets for {}.", record.topic());
            return;
        }
        if (!metadata.hasOffset()) {
            log.error("RecordMetadata has no offset -- can't sync offsets for {}.", record.topic());
            return;
        }
        TopicPartition topicPartition = new TopicPartition(record.topic(), record.kafkaPartition());
        long latency = System.currentTimeMillis() - record.timestamp();
        metrics.countRecord(topicPartition);
        metrics.replicationLatency(topicPartition, latency);
        TopicPartition sourceTopicPartition = MirrorUtils.unwrapPartition(record.sourcePartition());
        long upstreamOffset = MirrorUtils.unwrapOffset(record.sourceOffset());
        long downstreamOffset = metadata.offset();
        maybeSyncOffsets(sourceTopicPartition, upstreamOffset, downstreamOffset);
    }

    // updates partition state and sends OffsetSync if necessary
    private void maybeSyncOffsets(TopicPartition topicPartition, long upstreamOffset,
            long downstreamOffset) {
        PartitionState partitionState =
            partitionStates.computeIfAbsent(topicPartition, x -> new PartitionState(maxOffsetLag));
        if (partitionState.update(upstreamOffset, downstreamOffset)) {
            sendOffsetSync(topicPartition, upstreamOffset, downstreamOffset);
        }
    }

    // sends OffsetSync record upstream to internal offsets topic
    private void sendOffsetSync(TopicPartition topicPartition, long upstreamOffset,
            long downstreamOffset) {
        if (!outstandingOffsetSyncs.tryAcquire()) {
            // Too many outstanding offset syncs.
            return;
        }
        OffsetSync offsetSync = new OffsetSync(topicPartition, upstreamOffset, downstreamOffset);
        ProducerRecord<byte[], byte[]> record = new ProducerRecord<>(offsetSyncsTopic, 0,
                offsetSync.recordKey(), offsetSync.recordValue());
        offsetProducer.send(record, (x, e) -> {
            if (e != null) {
                log.error("Failure sending offset sync.", e);
            } else {
                log.trace("Sync'd offsets for {}: {}=={}", topicPartition,
                    upstreamOffset, downstreamOffset);
            }
            outstandingOffsetSyncs.release();
        });
    }
 
    private Map<TopicPartition, Long> loadOffsets(Set<TopicPartition> topicPartitions) {
        return topicPartitions.stream().collect(Collectors.toMap(x -> x, this::loadOffset));
    }

    private Long loadOffset(TopicPartition topicPartition) {
        Map<String, Object> wrappedPartition = MirrorUtils.wrapPartition(topicPartition, sourceClusterAlias);
        Map<String, Object> wrappedOffset = context.offsetStorageReader().offset(wrappedPartition);
        return MirrorUtils.unwrapOffset(wrappedOffset) + 1;
    }

    // visible for testing 
    SourceRecord convertRecord(ConsumerRecord<byte[], byte[]> record) {
        String targetTopic = formatRemoteTopic(record.topic());
        Headers headers = convertHeaders(record);
        return new SourceRecord(
                MirrorUtils.wrapPartition(new TopicPartition(record.topic(), record.partition()), sourceClusterAlias),
                MirrorUtils.wrapOffset(record.offset()),
                targetTopic, record.partition(),
                Schema.OPTIONAL_BYTES_SCHEMA, record.key(),
                Schema.BYTES_SCHEMA, record.value(),
                record.timestamp(), headers);
    }

    private Headers convertHeaders(ConsumerRecord<byte[], byte[]> record) {
        ConnectHeaders headers = new ConnectHeaders();
        for (Header header : record.headers()) {
            headers.addBytes(header.key(), header.value());
        }
        return headers;
    }

    private String formatRemoteTopic(String topic) {
        return replicationPolicy.formatRemoteTopic(sourceClusterAlias, topic);
    }

    private static int byteSize(byte[] bytes) {
        if (bytes == null) {
            return 0;
        } else {
            return bytes.length;
        }
    }

    static class PartitionState {
        long previousUpstreamOffset = -1L;
        long previousDownstreamOffset = -1L;
        long lastSyncUpstreamOffset = -1L;
        long lastSyncDownstreamOffset = -1L;
        long maxOffsetLag;

        PartitionState(long maxOffsetLag) {
            this.maxOffsetLag = maxOffsetLag;
        }

        // true if we should emit an offset sync
        boolean update(long upstreamOffset, long downstreamOffset) {
            boolean shouldSyncOffsets = false;
            long upstreamStep = upstreamOffset - lastSyncUpstreamOffset;
            long downstreamTargetOffset = lastSyncDownstreamOffset + upstreamStep;
            if (lastSyncDownstreamOffset == -1L
                    || downstreamOffset - downstreamTargetOffset >= maxOffsetLag
                    || upstreamOffset - previousUpstreamOffset != 1L
                    || downstreamOffset < previousDownstreamOffset) {
                lastSyncUpstreamOffset = upstreamOffset;
                lastSyncDownstreamOffset = downstreamOffset;
                shouldSyncOffsets = true;
            }
            previousUpstreamOffset = upstreamOffset;
            previousDownstreamOffset = downstreamOffset;
            return shouldSyncOffsets;
        }
    }
}

相关信息

kafka 源码目录

相关文章

kafka ConfigPropertyFilter 源码

kafka DefaultConfigPropertyFilter 源码

kafka DefaultGroupFilter 源码

kafka DefaultTopicFilter 源码

kafka GroupFilter 源码

kafka MirrorCheckpointConnector 源码

kafka MirrorCheckpointTask 源码

kafka MirrorConnectorConfig 源码

kafka MirrorHeartbeatConnector 源码

kafka MirrorHeartbeatTask 源码

0  赞