/*
 * 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.runtime;

import org.apache.kafka.clients.consumer.ConsumerRebalanceListener;
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.consumer.OffsetAndMetadata;
import org.apache.kafka.clients.consumer.OffsetCommitCallback;
import org.apache.kafka.common.KafkaException;
import org.apache.kafka.common.TopicPartition;
import org.apache.kafka.common.errors.WakeupException;
import org.apache.kafka.common.metrics.Sensor;
import org.apache.kafka.common.metrics.stats.Avg;
import org.apache.kafka.common.metrics.stats.CumulativeSum;
import org.apache.kafka.common.metrics.stats.Max;
import org.apache.kafka.common.metrics.stats.Rate;
import org.apache.kafka.common.metrics.stats.Value;
import org.apache.kafka.common.utils.Time;
import org.apache.kafka.connect.data.SchemaAndValue;
import org.apache.kafka.connect.errors.ConnectException;
import org.apache.kafka.connect.errors.RetriableException;
import org.apache.kafka.connect.header.ConnectHeaders;
import org.apache.kafka.connect.header.Headers;
import org.apache.kafka.connect.runtime.ConnectMetrics.MetricGroup;
import org.apache.kafka.connect.runtime.distributed.ClusterConfigState;
import org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator;
import org.apache.kafka.connect.runtime.errors.Stage;
import org.apache.kafka.connect.sink.SinkRecord;
import org.apache.kafka.connect.sink.SinkTask;
import org.apache.kafka.connect.storage.Converter;
import org.apache.kafka.connect.storage.HeaderConverter;
import org.apache.kafka.connect.util.ConnectUtils;
import org.apache.kafka.connect.util.ConnectorTaskId;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import java.time.Duration;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collection;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.regex.Pattern;

import static java.util.Collections.singleton;

/**
 * WorkerTask that uses a SinkTask to export data from Kafka.
 */
class WorkerSinkTask extends WorkerTask {
    private static final Logger log = LoggerFactory.getLogger(WorkerSinkTask.class);

    private final WorkerConfig workerConfig;
    private final SinkTask task;
    private final ClusterConfigState configState;
    private Map<String, String> taskConfig;
    private final Time time;
    private final Converter keyConverter;
    private final Converter valueConverter;
    private final HeaderConverter headerConverter;
    private final TransformationChain<SinkRecord> transformationChain;
    private final SinkTaskMetricsGroup sinkTaskMetricsGroup;
    private KafkaConsumer<byte[], byte[]> consumer;
    private WorkerSinkTaskContext context;
    private final List<SinkRecord> messageBatch;
    private Map<TopicPartition, OffsetAndMetadata> lastCommittedOffsets;
    private Map<TopicPartition, OffsetAndMetadata> currentOffsets;
    private final Map<TopicPartition, OffsetAndMetadata> origOffsets;
    private RuntimeException rebalanceException;
    private long nextCommit;
    private int commitSeqno;
    private long commitStarted;
    private int commitFailures;
    private boolean pausedForRedelivery;
    private boolean committing;

    public WorkerSinkTask(ConnectorTaskId id,
                          SinkTask task,
                          TaskStatus.Listener statusListener,
                          TargetState initialState,
                          WorkerConfig workerConfig,
                          ClusterConfigState configState,
                          ConnectMetrics connectMetrics,
                          Converter keyConverter,
                          Converter valueConverter,
                          HeaderConverter headerConverter,
                          TransformationChain<SinkRecord> transformationChain,
                          KafkaConsumer<byte[], byte[]> consumer,
                          ClassLoader loader,
                          Time time,
                          RetryWithToleranceOperator retryWithToleranceOperator) {
        super(id, statusListener, initialState, loader, connectMetrics, retryWithToleranceOperator);

        this.workerConfig = workerConfig;
        this.task = task;
        this.configState = configState;
        this.keyConverter = keyConverter;
        this.valueConverter = valueConverter;
        this.headerConverter = headerConverter;
        this.transformationChain = transformationChain;
        this.time = time;
        this.messageBatch = new ArrayList<>();
        this.currentOffsets = new HashMap<>();
        this.origOffsets = new HashMap<>();
        this.pausedForRedelivery = false;
        this.rebalanceException = null;
        this.nextCommit = time.milliseconds() +
                workerConfig.getLong(WorkerConfig.OFFSET_COMMIT_INTERVAL_MS_CONFIG);
        this.committing = false;
        this.commitSeqno = 0;
        this.commitStarted = -1;
        this.commitFailures = 0;
        this.sinkTaskMetricsGroup = new SinkTaskMetricsGroup(id, connectMetrics);
        this.sinkTaskMetricsGroup.recordOffsetSequenceNumber(commitSeqno);
        this.consumer = consumer;
    }

    @Override
    public void initialize(TaskConfig taskConfig) {
        try {
            this.taskConfig = taskConfig.originalsStrings();
            this.context = new WorkerSinkTaskContext(consumer, this, configState);
        } catch (Throwable t) {
            log.error("{} Task failed initialization and will not be started.", this, t);
            onFailure(t);
        }
    }

    @Override
    public void stop() {
        // Offset commit is handled upon exit in work thread
        super.stop();
        consumer.wakeup();
    }

    @Override
    protected void close() {
        // FIXME Kafka needs to add a timeout parameter here for us to properly obey the timeout
        // passed in
        try {
            task.stop();
        } catch (Throwable t) {
            log.warn("Could not stop task", t);
        }
        if (consumer != null) {
            try {
                consumer.close();
            } catch (Throwable t) {
                log.warn("Could not close consumer", t);
            }
        }
        try {
            transformationChain.close();
        } catch (Throwable t) {
            log.warn("Could not close transformation chain", t);
        }
    }

    @Override
    protected void releaseResources() {
        sinkTaskMetricsGroup.close();
    }

    @Override
    public void transitionTo(TargetState state) {
        super.transitionTo(state);
        consumer.wakeup();
    }

    @Override
    public void execute() {
        initializeAndStart();
        try {
            while (!isStopping())
                iteration();
        } finally {
            // Make sure any uncommitted data has been committed and the task has
            // a chance to clean up its state
            closePartitions();
        }
    }

    protected void iteration() {
        final long offsetCommitIntervalMs = workerConfig.getLong(WorkerConfig.OFFSET_COMMIT_INTERVAL_MS_CONFIG);

        try {
            long now = time.milliseconds();

            // Maybe commit
            if (!committing && (context.isCommitRequested() || now >= nextCommit)) {
                commitOffsets(now, false);
                nextCommit = now + offsetCommitIntervalMs;
                context.clearCommitRequest();
            }

            final long commitTimeoutMs = commitStarted + workerConfig.getLong(WorkerConfig.OFFSET_COMMIT_TIMEOUT_MS_CONFIG);

            // Check for timed out commits
            if (committing && now >= commitTimeoutMs) {
                log.warn("{} Commit of offsets timed out", this);
                commitFailures++;
                committing = false;
            }

            // And process messages
            long timeoutMs = Math.max(nextCommit - now, 0);
            poll(timeoutMs);
        } catch (WakeupException we) {
            log.trace("{} Consumer woken up", this);

            if (isStopping())
                return;

            if (shouldPause()) {
                pauseAll();
                onPause();
                context.requestCommit();
            } else if (!pausedForRedelivery) {
                resumeAll();
                onResume();
            }
        }
    }

    /**
     * Respond to a previous commit attempt that may or may not have succeeded. Note that due to our use of async commits,
     * these invocations may come out of order and thus the need for the commit sequence number.
     *
     * @param error            the error resulting from the commit, or null if the commit succeeded without error
     * @param seqno            the sequence number at the time the commit was requested
     * @param committedOffsets the offsets that were committed; may be null if the commit did not complete successfully
     *                         or if no new offsets were committed
     */
    private void onCommitCompleted(Throwable error, long seqno, Map<TopicPartition, OffsetAndMetadata> committedOffsets) {
        if (commitSeqno != seqno) {
            log.debug("{} Received out of order commit callback for sequence number {}, but most recent sequence number is {}",
                    this, seqno, commitSeqno);
            sinkTaskMetricsGroup.recordOffsetCommitSkip();
        } else {
            long durationMillis = time.milliseconds() - commitStarted;
            if (error != null) {
                log.error("{} Commit of offsets threw an unexpected exception for sequence number {}: {}",
                        this, seqno, committedOffsets, error);
                commitFailures++;
                recordCommitFailure(durationMillis, error);
            } else {
                log.debug("{} Finished offset commit successfully in {} ms for sequence number {}: {}",
                        this, durationMillis, seqno, committedOffsets);
                if (committedOffsets != null) {
                    log.debug("{} Setting last committed offsets to {}", this, committedOffsets);
                    lastCommittedOffsets = committedOffsets;
                    sinkTaskMetricsGroup.recordCommittedOffsets(committedOffsets);
                }
                commitFailures = 0;
                recordCommitSuccess(durationMillis);
            }
            committing = false;
        }
    }

    public int commitFailures() {
        return commitFailures;
    }

    /**
     * Initializes and starts the SinkTask.
     */
    protected void initializeAndStart() {
        SinkConnectorConfig.validate(taskConfig);

        if (SinkConnectorConfig.hasTopicsConfig(taskConfig)) {
            String[] topics = taskConfig.get(SinkTask.TOPICS_CONFIG).split(",");
            Arrays.setAll(topics, i -> topics[i].trim());
            consumer.subscribe(Arrays.asList(topics), new HandleRebalance());
            log.debug("{} Initializing and starting task for topics {}", this, topics);
        } else {
            String topicsRegexStr = taskConfig.get(SinkTask.TOPICS_REGEX_CONFIG);
            Pattern pattern = Pattern.compile(topicsRegexStr);
            consumer.subscribe(pattern, new HandleRebalance());
            log.debug("{} Initializing and starting task for topics regex {}", this, topicsRegexStr);
        }

        task.initialize(context);
        task.start(taskConfig);
        log.info("{} Sink task finished initialization and start", this);
    }

    /**
     * Poll for new messages with the given timeout. Should only be invoked by the worker thread.
     */
    protected void poll(long timeoutMs) {
        rewind();
        long retryTimeout = context.timeout();
        if (retryTimeout > 0) {
            timeoutMs = Math.min(timeoutMs, retryTimeout);
            context.timeout(-1L);
        }

        log.trace("{} Polling consumer with timeout {} ms", this, timeoutMs);
        ConsumerRecords<byte[], byte[]> msgs = pollConsumer(timeoutMs);
        assert messageBatch.isEmpty() || msgs.isEmpty();
        log.trace("{} Polling returned {} messages", this, msgs.count());

        convertMessages(msgs);
        deliverMessages();
    }

    // Visible for testing
    boolean isCommitting() {
        return committing;
    }

    private void doCommitSync(Map<TopicPartition, OffsetAndMetadata> offsets, int seqno) {
        log.info("{} Committing offsets synchronously using sequence number {}: {}", this, seqno, offsets);
        try {
            consumer.commitSync(offsets);
            onCommitCompleted(null, seqno, offsets);
        } catch (WakeupException e) {
            // retry the commit to ensure offsets get pushed, then propagate the wakeup up to poll
            doCommitSync(offsets, seqno);
            throw e;
        } catch (KafkaException e) {
            onCommitCompleted(e, seqno, offsets);
        }
    }

    private void doCommitAsync(Map<TopicPartition, OffsetAndMetadata> offsets, final int seqno) {
        log.info("{} Committing offsets asynchronously using sequence number {}: {}", this, seqno, offsets);
        OffsetCommitCallback cb = new OffsetCommitCallback() {
            @Override
            public void onComplete(Map<TopicPartition, OffsetAndMetadata> offsets, Exception error) {
                onCommitCompleted(error, seqno, offsets);
            }
        };
        consumer.commitAsync(offsets, cb);
    }

    /**
     * Starts an offset commit by flushing outstanding messages from the task and then starting
     * the write commit.
     **/
    private void doCommit(Map<TopicPartition, OffsetAndMetadata> offsets, boolean closing, int seqno) {
        if (closing) {
            doCommitSync(offsets, seqno);
        } else {
            doCommitAsync(offsets, seqno);
        }
    }

    private void commitOffsets(long now, boolean closing) {
        if (currentOffsets.isEmpty())
            return;

        committing = true;
        commitSeqno += 1;
        commitStarted = now;
        sinkTaskMetricsGroup.recordOffsetSequenceNumber(commitSeqno);

        final Map<TopicPartition, OffsetAndMetadata> taskProvidedOffsets;
        try {
            log.trace("{} Calling task.preCommit with current offsets: {}", this, currentOffsets);
            taskProvidedOffsets = task.preCommit(new HashMap<>(currentOffsets));
        } catch (Throwable t) {
            if (closing) {
                log.warn("{} Offset commit failed during close", this);
                onCommitCompleted(t, commitSeqno, null);
            } else {
                log.error("{} Offset commit failed, rewinding to last committed offsets", this, t);
                for (Map.Entry<TopicPartition, OffsetAndMetadata> entry : lastCommittedOffsets.entrySet()) {
                    log.debug("{} Rewinding topic partition {} to offset {}", this, entry.getKey(), entry.getValue().offset());
                    consumer.seek(entry.getKey(), entry.getValue().offset());
                }
                currentOffsets = new HashMap<>(lastCommittedOffsets);
                onCommitCompleted(t, commitSeqno, null);
            }
            return;
        } finally {
            if (closing) {
                log.trace("{} Closing the task before committing the offsets: {}", this, currentOffsets);
                task.close(currentOffsets.keySet());
            }
        }

        if (taskProvidedOffsets.isEmpty()) {
            log.debug("{} Skipping offset commit, task opted-out by returning no offsets from preCommit", this);
            onCommitCompleted(null, commitSeqno, null);
            return;
        }

        final Map<TopicPartition, OffsetAndMetadata> commitableOffsets = new HashMap<>(lastCommittedOffsets);
        for (Map.Entry<TopicPartition, OffsetAndMetadata> taskProvidedOffsetEntry : taskProvidedOffsets.entrySet()) {
            final TopicPartition partition = taskProvidedOffsetEntry.getKey();
            final OffsetAndMetadata taskProvidedOffset = taskProvidedOffsetEntry.getValue();
            if (commitableOffsets.containsKey(partition)) {
                long taskOffset = taskProvidedOffset.offset();
                long currentOffset = currentOffsets.get(partition).offset();
                if (taskOffset <= currentOffset) {
                    commitableOffsets.put(partition, taskProvidedOffset);
                } else {
                    log.warn("{} Ignoring invalid task provided offset {}/{} -- not yet consumed, taskOffset={} currentOffset={}",
                            this, partition, taskProvidedOffset, taskOffset, currentOffset);
                }
            } else {
                log.warn("{} Ignoring invalid task provided offset {}/{} -- partition not assigned, assignment={}",
                        this, partition, taskProvidedOffset, consumer.assignment());
            }
        }

        if (commitableOffsets.equals(lastCommittedOffsets)) {
            log.debug("{} Skipping offset commit, no change since last commit", this);
            onCommitCompleted(null, commitSeqno, null);
            return;
        }

        doCommit(commitableOffsets, closing, commitSeqno);
    }


    @Override
    public String toString() {
        return "WorkerSinkTask{" +
                "id=" + id +
                '}';
    }

    private ConsumerRecords<byte[], byte[]> pollConsumer(long timeoutMs) {
        ConsumerRecords<byte[], byte[]> msgs = consumer.poll(Duration.ofMillis(timeoutMs));

        // Exceptions raised from the task during a rebalance should be rethrown to stop the worker
        if (rebalanceException != null) {
            RuntimeException e = rebalanceException;
            rebalanceException = null;
            throw e;
        }

        sinkTaskMetricsGroup.recordRead(msgs.count());
        return msgs;
    }

    private void convertMessages(ConsumerRecords<byte[], byte[]> msgs) {
        origOffsets.clear();
        for (ConsumerRecord<byte[], byte[]> msg : msgs) {
            log.trace("{} Consuming and converting message in topic '{}' partition {} at offset {} and timestamp {}",
                    this, msg.topic(), msg.partition(), msg.offset(), msg.timestamp());

            retryWithToleranceOperator.consumerRecord(msg);

            SinkRecord transRecord = convertAndTransformRecord(msg);

            origOffsets.put(
                    new TopicPartition(msg.topic(), msg.partition()),
                    new OffsetAndMetadata(msg.offset() + 1)
            );
            if (transRecord != null) {
                messageBatch.add(transRecord);
            } else {
                log.trace(
                        "{} Converters and transformations returned null, possibly because of too many retries, so " +
                                "dropping record in topic '{}' partition {} at offset {}",
                        this, msg.topic(), msg.partition(), msg.offset()
                );
            }
        }
        sinkTaskMetricsGroup.recordConsumedOffsets(origOffsets);
    }

    private SinkRecord convertAndTransformRecord(final ConsumerRecord<byte[], byte[]> msg) {
        SchemaAndValue keyAndSchema = retryWithToleranceOperator.execute(() -> keyConverter.toConnectData(msg.topic(), msg.headers(), msg.key()),
                Stage.KEY_CONVERTER, keyConverter.getClass());

        SchemaAndValue valueAndSchema = retryWithToleranceOperator.execute(() -> valueConverter.toConnectData(msg.topic(), msg.headers(), msg.value()),
                Stage.VALUE_CONVERTER, valueConverter.getClass());

        Headers headers = retryWithToleranceOperator.execute(() -> convertHeadersFor(msg), Stage.HEADER_CONVERTER, headerConverter.getClass());

        if (retryWithToleranceOperator.failed()) {
            return null;
        }

        Long timestamp = ConnectUtils.checkAndConvertTimestamp(msg.timestamp());
        SinkRecord origRecord = new SinkRecord(msg.topic(), msg.partition(),
                keyAndSchema.schema(), keyAndSchema.value(),
                valueAndSchema.schema(), valueAndSchema.value(),
                msg.offset(),
                timestamp,
                msg.timestampType(),
                headers);
        log.trace("{} Applying transformations to record in topic '{}' partition {} at offset {} and timestamp {} with key {} and value {}",
                this, msg.topic(), msg.partition(), msg.offset(), timestamp, keyAndSchema.value(), valueAndSchema.value());
        return transformationChain.apply(origRecord);
    }

    private Headers convertHeadersFor(ConsumerRecord<byte[], byte[]> record) {
        Headers result = new ConnectHeaders();
        org.apache.kafka.common.header.Headers recordHeaders = record.headers();
        if (recordHeaders != null) {
            String topic = record.topic();
            for (org.apache.kafka.common.header.Header recordHeader : recordHeaders) {
                SchemaAndValue schemaAndValue = headerConverter.toConnectHeader(topic, recordHeader.key(), recordHeader.value());
                result.add(recordHeader.key(), schemaAndValue);
            }
        }
        return result;
    }

    private void resumeAll() {
        for (TopicPartition tp : consumer.assignment())
            if (!context.pausedPartitions().contains(tp))
                consumer.resume(singleton(tp));
    }

    private void pauseAll() {
        consumer.pause(consumer.assignment());
    }

    private void deliverMessages() {
        // Finally, deliver this batch to the sink
        try {
            // Since we reuse the messageBatch buffer, ensure we give the task its own copy
            log.trace("{} Delivering batch of {} messages to task", this, messageBatch.size());
            long start = time.milliseconds();
            task.put(new ArrayList<>(messageBatch));
            recordBatch(messageBatch.size());
            sinkTaskMetricsGroup.recordPut(time.milliseconds() - start);
            currentOffsets.putAll(origOffsets);
            messageBatch.clear();
            // If we had paused all consumer topic partitions to try to redeliver data, then we should resume any that
            // the task had not explicitly paused
            if (pausedForRedelivery) {
                if (!shouldPause())
                    resumeAll();
                pausedForRedelivery = false;
            }
        } catch (RetriableException e) {
            log.error("{} RetriableException from SinkTask:", this, e);
            // If we're retrying a previous batch, make sure we've paused all topic partitions so we don't get new data,
            // but will still be able to poll in order to handle user-requested timeouts, keep group membership, etc.
            pausedForRedelivery = true;
            pauseAll();
            // Let this exit normally, the batch will be reprocessed on the next loop.
        } catch (Throwable t) {
            log.error("{} Task threw an uncaught and unrecoverable exception. Task is being killed and will not "
                    + "recover until manually restarted.", this, t);
            throw new ConnectException("Exiting WorkerSinkTask due to unrecoverable exception.", t);
        }
    }

    private void rewind() {
        Map<TopicPartition, Long> offsets = context.offsets();
        if (offsets.isEmpty()) {
            return;
        }
        for (Map.Entry<TopicPartition, Long> entry: offsets.entrySet()) {
            TopicPartition tp = entry.getKey();
            Long offset = entry.getValue();
            if (offset != null) {
                log.trace("{} Rewind {} to offset {}", this, tp, offset);
                consumer.seek(tp, offset);
                lastCommittedOffsets.put(tp, new OffsetAndMetadata(offset));
                currentOffsets.put(tp, new OffsetAndMetadata(offset));
            } else {
                log.warn("{} Cannot rewind {} to null offset", this, tp);
            }
        }
        context.clearOffsets();
    }

    private void openPartitions(Collection<TopicPartition> partitions) {
        sinkTaskMetricsGroup.recordPartitionCount(partitions.size());
        task.open(partitions);
    }

    private void closePartitions() {
        commitOffsets(time.milliseconds(), true);
        sinkTaskMetricsGroup.recordPartitionCount(0);
    }

    @Override
    protected void recordBatch(int size) {
        super.recordBatch(size);
        sinkTaskMetricsGroup.recordSend(size);
    }

    @Override
    protected void recordCommitFailure(long duration, Throwable error) {
        super.recordCommitFailure(duration, error);
    }

    @Override
    protected void recordCommitSuccess(long duration) {
        super.recordCommitSuccess(duration);
        sinkTaskMetricsGroup.recordOffsetCommitSuccess();
    }

    SinkTaskMetricsGroup sinkTaskMetricsGroup() {
        return sinkTaskMetricsGroup;
    }

    // Visible for testing
    long getNextCommit() {
        return nextCommit;
    }

    private class HandleRebalance implements ConsumerRebalanceListener {
        @Override
        public void onPartitionsAssigned(Collection<TopicPartition> partitions) {
            log.debug("{} Partitions assigned {}", WorkerSinkTask.this, partitions);
            lastCommittedOffsets = new HashMap<>();
            currentOffsets = new HashMap<>();
            for (TopicPartition tp : partitions) {
                long pos = consumer.position(tp);
                lastCommittedOffsets.put(tp, new OffsetAndMetadata(pos));
                currentOffsets.put(tp, new OffsetAndMetadata(pos));
                log.debug("{} Assigned topic partition {} with offset {}", WorkerSinkTask.this, tp, pos);
            }
            sinkTaskMetricsGroup.assignedOffsets(currentOffsets);

            // If we paused everything for redelivery (which is no longer relevant since we discarded the data), make
            // sure anything we paused that the task didn't request to be paused *and* which we still own is resumed.
            // Also make sure our tracking of paused partitions is updated to remove any partitions we no longer own.
            pausedForRedelivery = false;

            // Ensure that the paused partitions contains only assigned partitions and repause as necessary
            context.pausedPartitions().retainAll(partitions);
            if (shouldPause())
                pauseAll();
            else if (!context.pausedPartitions().isEmpty())
                consumer.pause(context.pausedPartitions());

            // Instead of invoking the assignment callback on initialization, we guarantee the consumer is ready upon
            // task start. Since this callback gets invoked during that initial setup before we've started the task, we
            // need to guard against invoking the user's callback method during that period.
            if (rebalanceException == null || rebalanceException instanceof WakeupException) {
                try {
                    openPartitions(partitions);
                    // Rewind should be applied only if openPartitions succeeds.
                    rewind();
                } catch (RuntimeException e) {
                    // The consumer swallows exceptions raised in the rebalance listener, so we need to store
                    // exceptions and rethrow when poll() returns.
                    rebalanceException = e;
                }
            }
        }

        @Override
        public void onPartitionsRevoked(Collection<TopicPartition> partitions) {
            log.debug("{} Partitions revoked", WorkerSinkTask.this);
            try {
                closePartitions();
                sinkTaskMetricsGroup.clearOffsets();
            } catch (RuntimeException e) {
                // The consumer swallows exceptions raised in the rebalance listener, so we need to store
                // exceptions and rethrow when poll() returns.
                rebalanceException = e;
            }

            // Make sure we don't have any leftover data since offsets will be reset to committed positions
            messageBatch.clear();
        }
    }

    static class SinkTaskMetricsGroup {
        private final ConnectorTaskId id;
        private final ConnectMetrics metrics;
        private final MetricGroup metricGroup;
        private final Sensor sinkRecordRead;
        private final Sensor sinkRecordSend;
        private final Sensor partitionCount;
        private final Sensor offsetSeqNum;
        private final Sensor offsetCompletion;
        private final Sensor offsetCompletionSkip;
        private final Sensor putBatchTime;
        private final Sensor sinkRecordActiveCount;
        private long activeRecords;
        private Map<TopicPartition, OffsetAndMetadata> consumedOffsets = new HashMap<>();
        private Map<TopicPartition, OffsetAndMetadata> committedOffsets = new HashMap<>();

        public SinkTaskMetricsGroup(ConnectorTaskId id, ConnectMetrics connectMetrics) {
            this.metrics = connectMetrics;
            this.id = id;

            ConnectMetricsRegistry registry = connectMetrics.registry();
            metricGroup = connectMetrics
                                  .group(registry.sinkTaskGroupName(), registry.connectorTagName(), id.connector(), registry.taskTagName(),
                                         Integer.toString(id.task()));
            // prevent collisions by removing any previously created metrics in this group.
            metricGroup.close();

            sinkRecordRead = metricGroup.sensor("sink-record-read");
            sinkRecordRead.add(metricGroup.metricName(registry.sinkRecordReadRate), new Rate());
            sinkRecordRead.add(metricGroup.metricName(registry.sinkRecordReadTotal), new CumulativeSum());

            sinkRecordSend = metricGroup.sensor("sink-record-send");
            sinkRecordSend.add(metricGroup.metricName(registry.sinkRecordSendRate), new Rate());
            sinkRecordSend.add(metricGroup.metricName(registry.sinkRecordSendTotal), new CumulativeSum());

            sinkRecordActiveCount = metricGroup.sensor("sink-record-active-count");
            sinkRecordActiveCount.add(metricGroup.metricName(registry.sinkRecordActiveCount), new Value());
            sinkRecordActiveCount.add(metricGroup.metricName(registry.sinkRecordActiveCountMax), new Max());
            sinkRecordActiveCount.add(metricGroup.metricName(registry.sinkRecordActiveCountAvg), new Avg());

            partitionCount = metricGroup.sensor("partition-count");
            partitionCount.add(metricGroup.metricName(registry.sinkRecordPartitionCount), new Value());

            offsetSeqNum = metricGroup.sensor("offset-seq-number");
            offsetSeqNum.add(metricGroup.metricName(registry.sinkRecordOffsetCommitSeqNum), new Value());

            offsetCompletion = metricGroup.sensor("offset-commit-completion");
            offsetCompletion.add(metricGroup.metricName(registry.sinkRecordOffsetCommitCompletionRate), new Rate());
            offsetCompletion.add(metricGroup.metricName(registry.sinkRecordOffsetCommitCompletionTotal), new CumulativeSum());

            offsetCompletionSkip = metricGroup.sensor("offset-commit-completion-skip");
            offsetCompletionSkip.add(metricGroup.metricName(registry.sinkRecordOffsetCommitSkipRate), new Rate());
            offsetCompletionSkip.add(metricGroup.metricName(registry.sinkRecordOffsetCommitSkipTotal), new CumulativeSum());

            putBatchTime = metricGroup.sensor("put-batch-time");
            putBatchTime.add(metricGroup.metricName(registry.sinkRecordPutBatchTimeMax), new Max());
            putBatchTime.add(metricGroup.metricName(registry.sinkRecordPutBatchTimeAvg), new Avg());
        }

        void computeSinkRecordLag() {
            Map<TopicPartition, OffsetAndMetadata> consumed = this.consumedOffsets;
            Map<TopicPartition, OffsetAndMetadata> committed = this.committedOffsets;
            activeRecords = 0L;
            for (Map.Entry<TopicPartition, OffsetAndMetadata> committedOffsetEntry : committed.entrySet()) {
                final TopicPartition partition = committedOffsetEntry.getKey();
                final OffsetAndMetadata consumedOffsetMeta = consumed.get(partition);
                if (consumedOffsetMeta != null) {
                    final OffsetAndMetadata committedOffsetMeta = committedOffsetEntry.getValue();
                    long consumedOffset = consumedOffsetMeta.offset();
                    long committedOffset = committedOffsetMeta.offset();
                    long diff = consumedOffset - committedOffset;
                    // Connector tasks can return offsets, so make sure nothing wonky happens
                    activeRecords += Math.max(diff, 0L);
                }
            }
            sinkRecordActiveCount.record(activeRecords);
        }

        void close() {
            metricGroup.close();
        }

        void recordRead(int batchSize) {
            sinkRecordRead.record(batchSize);
        }

        void recordSend(int batchSize) {
            sinkRecordSend.record(batchSize);
        }

        void recordPut(long duration) {
            putBatchTime.record(duration);
        }

        void recordPartitionCount(int assignedPartitionCount) {
            partitionCount.record(assignedPartitionCount);
        }

        void recordOffsetSequenceNumber(int seqNum) {
            offsetSeqNum.record(seqNum);
        }

        void recordConsumedOffsets(Map<TopicPartition, OffsetAndMetadata> offsets) {
            consumedOffsets.putAll(offsets);
            computeSinkRecordLag();
        }

        void recordCommittedOffsets(Map<TopicPartition, OffsetAndMetadata> offsets) {
            committedOffsets = offsets;
            computeSinkRecordLag();
        }

        void assignedOffsets(Map<TopicPartition, OffsetAndMetadata> offsets) {
            consumedOffsets = new HashMap<>(offsets);
            committedOffsets = offsets;
            sinkRecordActiveCount.record(0.0);
        }

        void clearOffsets() {
            consumedOffsets.clear();
            committedOffsets.clear();
            sinkRecordActiveCount.record(0.0);
        }

        void recordOffsetCommitSuccess() {
            offsetCompletion.record(1.0);
        }

        void recordOffsetCommitSkip() {
            offsetCompletionSkip.record(1.0);
        }

        protected MetricGroup metricGroup() {
            return metricGroup;
        }
    }
}
